Revised board of managers packet 6 4 2014

Our Mission is to protect, manage and improve the water resources of Capitol Region Watershed District

Regular Meeting of the Capitol Region Watershed District (CRWD) Board Of Managers, for Wednesday,

June 4, 2014 6:00 p.m. at the office of the CRWD, 1410 Energy Park Drive, Suite 4, St. Paul, Minnesota.

REGULAR MEETING AGENDA

I. Call to Order of Regular Meeting (President Joe Collins)

A) Attendance

B) Review, Amendments and Approval of the Agenda

II. Public Comment – For Items not on the Agenda (Please observe a limit of three minutes per person.)

III. Permit Applications and Program Updates (Permit Process: 1) Staff Review/Recommendation, 2) Applicant Response, 3) Public Comment, and 4)

Board Discussion and Action.)

A) Permit Program/Rules Update (Kelley)

IV. Special Reports – 2013 Lakes Monitoring Report, Britta Suppes

V. Action Items

A) AR: Approve Minutes of the May 21, 2014 Regular Meeting (Sylvander)

B) AR: Approve Work Order with Barr Engineering for TBI Inspection and CIP (Eleria)

C) AR: Approve Comment Period for TBI MS4 Permit Annual Report (Eleria)

D) AR: Award Contract for Lake McCarrons Vegetation Harvesting (Zwonitzer)

VI. Unfinished Business

A) FI: Highland Ravine Update (Eleria)

B) FI: Curtiss Pond Improvement Project (Fossum)

C) FI: City of St. Paul Volume Reduction Plan Comment Letter (Doneux)

D) FI: Green Line Grand Opening, June 14th

(Doneux)

E) FI: 2014 MAWD Summer Tour (Doneux)

VII. General Information

A) Administrator’s Report

VIII. Next Meetings

A) CAC Meeting, Wednesday, June 11, 2014

B) Board Meeting Wednesday, June 18, 2014

IX. Adjournment

W:\04 Board of Managers\Agendas\2014\June 4, 2014 Agenda Regular Mtg.docx

Materials Enclosed


DATE: May 29, 2014

TO: CRWD Board of Managers

FROM: Britta Suppes, Monitoring Coordinator

RE: Approve 2013 Lakes Monitoring Report

Background

There are five lakes within the boundaries of CRWD: Como Lake, Crosby Lake, Little Crosby Lake, and Loeb

Lake in St. Paul, and Lake McCarrons in Roseville. Each lake is monitored by Ramsey County Public Works

(RCPW) and CRWD to assess overall health, compliance with water quality standards, and to determine if each

lake supports its designated uses for swimming, fishing, and/or aesthetics. Data has been collected annually on

each lake for varying periods of record, with the Como Lake dataset being the longest in dating back to 1984.

Issues

For the first time this year, data on CRWD lakes is presented in a standalone report. In previous years, the lakes

data has been included in the annual CRWD Monitoring Report. The 2013 Stormwater Monitoring Report was

presented to the Board and approved at the May 21st meeting.

Staff have analyzed the 2013 lakes monitoring data and have completed a draft lakes report. Staff will review

and request approval of the 2013 Lakes Monitoring Report at this Board meeting. The report will be reviewed

with the Managers highlighting key findings from the monitoring efforts. The report is lengthy and staff would

suggest Managers focus their review on sections 1, 2, 4, 5, and 11. The full report will be transmitted

electronically with the board packet. Sections 1,2,4,5 and 11 will be printed for you and be available at the

Board Meeting. If you would like a full paper copy of the draft report please contact Michelle at the office.

Requested Action

Approve 2013 Lakes Monitoring Report.

enc: Draft 2013 Lakes Monitoring Report

W:\07 Programs\Monitoring & Data Acquisition\2013 Monitoring\2013 Lakes\2013 Lakes Report\Brd Memo Lakes Report 5-29-14.docx

June 4, 2013 Board Meeting

IV. Special Report—2013 Lakes

Monitoring Report (Suppes)

2013 Lakes Monitoring Report

Prepared by:

Capitol Region Watershed District 1410 Energy Park Drive, Suite 4 Saint Paul, MN 55108 (651)-644-8888 www.capitolregionwd.org May 2014

TABLE OF CONTENTS Acronyms ........................................................................................................................................ i

Definitions ..................................................................................................................................... iii

List of Figures ................................................................................................................................ v

List of Tables ............................................................................................................................... vii

1. Executive Summary ........................................................................................................... 1

2. Introduction ........................................................................................................................ 5

3. Methods............................................................................................................................. 19

4. Climatological Summary .................................................................................................. 27

5. CRWD Lakes Results Summary ....................................................................................... 37

6. Como Lake Results ........................................................................................................... 43

7. Crosby Lake Results ......................................................................................................... 63

8. Little Crosby Lake Results................................................................................................ 79

9. Loeb Lake Results............................................................................................................. 91

10. Lake McCarrons Results ................................................................................................ 107

11. Conclusions & Recommendations .................................................................................. 127

12. References ....................................................................................................................... 133

Appendix A: 2013 Wenck Associates, Inc. Technical Memorandum ........................................ 137

2013 CRWD Lakes Monitoring Report i

ACRONYMS AND ABBREVIATIONS ac Acre BMP Best Management Practice cBOD 5-day Carbonaceous Biochemical Oxygen Demand Cd Cadmium cf Cubic feet cfs Cubic feet per second Chl-a Chlorophyll-a Cl Chloride Cr Chromium CRWD Capitol Region Watershed District CS Chronic Standard Cu Copper DNR DO

Department of Natural Resources Dissolved Oxygen

E. coli Escherichia coli EPA Environmental Protection Agency ft Foot/Feet GP GPS ha

Gottfried’s Pit Global Positioning System Hectare

Hg Mercury IBI Index of Biological Integrity in Inch kg Kilogram L Liter lb Pound m Meter MCES MCWG

Metropolitan Council Environmental Services Minnesota Climatological Working Group

mg Milligram mL Milliliter MnDOT Minnesota Department of Transportation MPCA Minnesota Pollution Control Agency MS4 MSP

Municipal Separate Storm Sewer System Minneapolis-St. Paul International Airport

NA NCHF

Not Available North Central Hardwood Forest

NH3 Ammonia

2013 CRWD Lakes Monitoring Report ii

Ni Nickel NO2 Nitrite NO3 Nitrate NOAA National Oceanic and Atmospheric Administration NWS OHWL Ortho-P

National Weather Service Ordinary High Water Level Ortho-phosphate

Pb Lead RCD Ramsey Conservation District RCLML RCPW

Ramsey County Lake Management Laboratory Ramsey County Public Works

sec Second SRP TB

Soluble Reactive Phosphorus Trout Brook

TBI Trout Brook Storm Sewer Interceptor TDS Total Dissolved Solids TKN Total Kjeldahl Nitrogen TN Total Nitrogen TMDL TP

Total Maximum Daily Load Total Phosphorus

TSS Total Suspended Solids UMN VSS WD WMO

University of Minnesota-St. Paul Campus Volatile Suspended Solids Watershed District Watershed Management Organization

Zn Zinc

2013 CRWD Lakes Monitoring Report iii

DEFINITIONS Anthropogenic – resulting from the influence of human beings on nature. Bathymetric – the measurement of water depth in a body of water. Benthic – the ecological region at the bottom of a body of water. Biomanipulation – the deliberate alteration of an ecosystem by adding or removing species. Class 2 Waters – waters of the State that are designated for aquatic life and recreational use. Chlorophyll-a – a type of chlorophyll pigment found in plants used in oxygenic photosynthesis; used as a measure of phytoplankton production in lakes and streams. Conductivity – the measure of the ability of water to pass an electrical current; affected by the presence of inorganic dissolved solids and temperature. Designated Use – the water quality standards regulation requires that States and authorized Indian Tribes specify appropriate water uses to be achieved and protected. Appropriate uses are identified by taking into consideration the use and value of the water body for public water supply, for protection of fish, shellfish, and wildlife, and for recreational, agricultural, industrial, and navigational purposes. Epilimnion – the top layer of water in a lake, characterized in the summer by warm, circulating water. MPCA lake standards are based on water sampled from this layer. Eutrophic – a water body with high nutrient concentrations and primary biological productivity. These waters are murky and an extensive macrophyte population. Algal blooms are common. Fingerling – fish harvested from rearing ponds after one summer of growth. Fry - newly hatched fish ready to be stocked. Hardness – the concentration of calcium and magnesium salts (e.g. calcium carbonate, magnesium carbonate) in a water sample. Hypereutrophic – a water body with excessive nutrient concentrations and primary biological productivity. These waters are characterized by very murky water, frequent algal blooms and fish kills, foul odor, and rough (or less desirable) fish. Hypolimnion - the part of a lake below the thermocline made up of water that is stagnant and of essentially uniform temperature except during the period of overturn.

2013 CRWD Lakes Monitoring Report iv

Impaired Waters – Waters that are not meeting their designated uses because of excess pollutants violating water quality standards (from the MPCA website). Littoral Area/Zone – area of a lake that is <15 ft in depth and where the majority of plants are found. Mesotrophic – a water body that has intermediate nutrient concentrations and primary biological productivity. These waters are moderately clear and are characterized by late-summer algal blooms, moderate macrophyte populations, and occasional fish kills. Morphometric – describing parameters relating to external form. Oligotrophic – a water body that has low nutrient concentrations and primary biological productivity, and is characterized by clear water, few macrophytes, and salmonid fish. Phytoplankton – the autotrophic plant members of the plankton (drifting organisms) community. Secchi depth – a measure of the transparency of lake water. Stormwater – water that becomes runoff on a landscape during a precipitation event. Stormwater Best Management Practices – activities, practices, and structures designed to reduce stormwater pollution and runoff volume and increase groundwater recharge. Subwatershed – a delineated area of land within a larger watershed where surface waters and runoff drain to a single point before ultimately discharging from the encompassing watershed. Thermal stratification – refers to the changes in temperature at different depths in a lake as a result of the different densities of water at different temperatures. Thermocline - the region in a thermally stratified body of water which separates warmer surface water from cold deep water and in which temperature decreases rapidly with depth. Total Maximum Daily Load – the maximum amount of a substance that can be received by a water body while still meeting water quality standards. This may also refer to the allocation of acceptable portions of this load to different sources. Turbidity – a measure of the relative clarity of a liquid. Turbidity measurements can provide a simple indicator of potential pollution in a sample. Turbid water will appear cloudy or hazy. Watershed – a delineated area of land where surface waters and runoff drain to a single point at a lower elevation. Zooplankton – the heterotrophic animal members of the plankton (drifting organisms) community.

2013 CRWD Lakes Monitoring Report v

LIST OF FIGURES

2 INTRODUCTION Figure 2-1: Capitol Region Watershed District in Ramsey County, Minnesota. ........................ 8 Figure 2-2: Como Lake. .......................................................................................................... 11 Figure 2-3: Crosby and Little Crosby Lakes. ........................................................................... 13 Figure 2-4: Loeb Lake. ............................................................................................................ 15 Figure 2-5: Lake McCarrons. .................................................................................................. 17

3 METHODS Figure 3-1: CRWD 2014 lake and rain gauge monitoring locations. ....................................... 19

4 CLIMATOLOGICAL SUMMARY

Figure 4-1: 30-year normal and 2013 monthly precipitation totals for CRWD. ........................ 30 Figure 4-2: Annual precipitation totals (2005-2013) observed in CRWD by MCWG. .............. 31 Figure 4-3: Daily temperature highs and snowpack depths from January to April 2013 as

observed at MSP. ............................................................................................................ 35

5 CRWD LAKES RESULTS SUMMARY Figure 5-1: CRWD 2013 vs. historical average TP concentrations and lake standard

comparisons. ................................................................................................................... 40 Figure 5-2: CRWD 2013 vs. historical average Chl-a concentrations and lake standard

comparisons. ................................................................................................................... 41 Figure 5-3: CRWD 2013 vs. historical average Secchi depths and lake standard comparisons.

........................................................................................................................................ 42

6 COMO LAKE RESULTS Figure 6-1: View of the northwest shoreline of Como Lake. ................................................... 43 Figure 6-2: Como Lake bathymetric map. ............................................................................... 46 Figure 6-3: Como Lake historical lake elevations. .................................................................. 47 Figure 6-4: Como Lake 2013 lake elevations and precipitation. ............................................. 48 Figure 6-5: Como Lake 2013 Secchi/TP/Chl-a comparison .................................................... 49 Figure 6-6: Como Lake historical Secchi/TP/Chl-a comparison. ............................................. 51 Figure 6-7: Como Lake 2013 total phytoplankton concentration and TP concentration. ........ 55 Figure 6-8: Como Lake 2013 total zooplankton density and Chl-a concentration. .................. 55 Figure 6-9: Como Lake 2013 phytoplankton relative abundance. ........................................... 56 Figure 6-10: Como Lake 2013 zooplankton relative abundance ............................................. 56 Figure 6-11: Como Lake 2013 biovolume heat map. .............................................................. 57 Figure 6-12: Como Lake 2013 percent occurrence of vegetation present. ............................. 58 Figure 6-13: Como Lake 2013 average abundance ranking of vegetation present. ............... 59

7 CROSBY LAKE RESULTS Figure 7-1: View of the southwest shoreline of Crosby Lake. ................................................. 63 Figure 7-2: Crosby Lake bathymetric map. ............................................................................. 65 Figure 7-3: Crosby Lake 2013 Secchi/TP/Chl-a comparison. ................................................. 67 Figure 7-4: Crosby Lake historical Secchi/TP/Chl-a comparison. ........................................... 69 Figure 7-5: Crosby Lake 2013 total phytoplankton concentration and TP concentration. ....... 72

2013 CRWD Lakes Monitoring Report vi

Figure 7-6: Crosby Lake 2013 total zooplankton density and Chl-a concentration. ................ 72 Figure 7-7: Crosby Lake 2013 phytoplankton relative abundance. ......................................... 73 Figure 7-8: Crosby Lake 2013 zooplankton relative abundance. ............................................ 73 Figure 7-9: Crosby Lake 2013 biovolume heat map. .............................................................. 74 Figure 7-10: Crosby Lake 2013 percent occurrence of vegetation present. ........................... 75 Figure 7-11: Crosby Lake 2013 average abundance ranking of vegetation present .............. 76

8 LITTLE CROSBY LAKE RESULTS Figure 8-1: View of the southeast shoreline of Little Crosby Lake. ......................................... 79 Figure 8-2: Little Crosby Lake 2013 Secchi/TP/Chl-a comparison. ........................................ 81 Figure 8-3: Little Crosby Lake historical Secchi/TP/Chl-a comparison. .................................. 83 Figure 8-4: Little Crosby Lake 2013 total phytoplankton concentration and TP concentration.

........................................................................................................................................ 85 Figure 8-5: Little Crosby Lake 2013 total zooplankton density and Chl-a concentration. ....... 85 Figure 8-6: Little Crosby Lake 2013 phytoplankton relative abundance. ................................ 86 Figure 8-7: Little Crosby Lake 2013 zooplankton relative abundance. ................................... 86 Figure 8-8: Little Crosby Lake 2013 biovolume heat map. ...................................................... 87 Figure 8-9: Little Crosby Lake 2013 percent occurrence of vegetation present. ..................... 88 Figure 8-10: Little Crosby Lake 2013 average abundance ranking of vegetation present. ..... 89

9 LOEB LAKE RESULTS Figure 9-1: View of the boat launch on the east shoreline of Loeb Lake. ............................... 91 Figure 9-2: Loeb Lake historical lake elevations. .................................................................... 93 Figure 9-3: Loeb Lake 2013 lake elevations and precipitation. ............................................... 94 Figure 9-4: Loeb Lake 2013 Secchi/TP/Chl-a comparison. .................................................... 95 Figure 9-5: Loeb Lake historical Secchi/TP/Chl-a comparison. .............................................. 97 Figure 9-6: Loeb Lake 2013 total phytoplankton concentration and TP concentration. ........ 100 Figure 9-7: Loeb Lake 2013 total zooplankton density and Chl-a concentration. ................. 100 Figure 9-8: Loeb Lake 2013 phytoplankton relative abundance. .......................................... 101 Figure 9-9: Loeb Lake 2013 zooplankton relative abundance. ............................................. 101 Figure 9-10: Loeb Lake 2013 biovolume heat map. .............................................................. 102 Figure 9-11: Loeb Lake 2013 percent occurrence of vegetation present. ............................. 103 Figure 9-12: Loeb Lake 2013 average abundance ranking of vegetation present. ............... 104

10 LAKE MCCARRONS RESULTS Figure 10-1: View of the west shoreline of Lake McCarrons. ................................................ 107 Figure 10-2: Lake McCarrons bathymetric map. ................................................................... 109 Figure 10-3: Lake McCarrons historical lake elevations. ...................................................... 110 Figure 10-4: Lake McCarrons 2013 lake elevations and precipitation. ................................. 111 Figure 10-5: Lake McCarrons 2013 Secchi/TP/Chl-a comparison. ....................................... 113 Figure 10-6: Lake McCarrons historical Secchi/TP/Chl-a comparison. ................................. 115 Figure 10-7: Lake McCarrons 2013 total phytoplankton concentration and TP concentration.

...................................................................................................................................... 119 Figure 10-8: Lake McCarrons 2013 total zooplankton density and Chl-a concentration. ...... 119 Figure 10-9: Lake McCarrons 2013 phytoplankton relative abundance. ............................... 120 Figure 10-10: Lake McCarrons 2013 zooplankton relative abundance. ................................ 120 Figure 10-11: Lake McCarrons 2013 biovolume heat map. .................................................. 121 Figure 10-12: Lake McCarrons 2013 percent occurrence of vegetation present. ................. 123 Figure 10-13: Lake McCarrons 2013 average abundance ranking of vegetation present. ... 124

2013 CRWD Lakes Monitoring Report vii

LIST OF TABLES

3 METHODS Table 3-1: Average abundance rating and description for aquatic vegetation (RCPW, 2009).

........................................................................................................................................ 21 Table 3-2: Minnesota DNR fish stocking size definitions (DNR, 2014d). ................................ 22 Table 3-3: Deep and shallow lake state water quality standards. ........................................... 23 Table 3-4: Water quality parameter lake grade ranges, percentile ranges, and descripton of

lake grade user quality (MC, 2011; Osgood, 1989). ....................................................... 24 Table 3-5: CRWD overall lake grade ranges. ......................................................................... 24 Table 3-6: Phytoplankton types, taxonomic classification, description, and water quality

significance. .................................................................................................................... 25 Table 3-7: Zooplankton types, taxonomic classification, description, and water quality

significance. .................................................................................................................... 25 4 CLIMATOLOGICAL SUMMARY

Table 4-1: Daily and monthly precipitation totals for 2013 compared to the NWS 30-year normals. .......................................................................................................................... 29

Table 4-2: CRWD annual precipitation totals and departure from the NWS 30-year normal. . 32 Table 4-3: Summary of 2013 climatological events. ............................................................... 33 Table 4-4: MSP 2013 monthly temperatures and departure from historical normal

temperatures. .................................................................................................................. 33

5 CRWD LAKES RESULTS SUMMARY Table 5-1: CRWD 2013 average, historical average and lake standards for TP/Chl-a/Secchi

depth. .............................................................................................................................. 37 Table 5-2: CRWD 2013 and historical lake grades and averages for TP/Chl-a/Secchi depth.

........................................................................................................................................ 38

6 COMO LAKE RESULTS Table 6-1: Como Lake morphometric data.............................................................................. 45 Table 6-2: Como Lake historical yearly TP/Chl-a/Secchi depth averages compared to shallow

lake state standards. ....................................................................................................... 52 Table 6-3: Como Lake historical lake grades. ......................................................................... 53 Table 6-4: Como Lake historical record of fish stocking. ........................................................ 60 Table 6-5: Como Lake 2011 fish populations.......................................................................... 60

7 CROSBY LAKE RESULTS

Table 7-1: Crosby Lake morphometric data. ........................................................................... 65 Table 7-2: Crosby Lake historical yearly TP/Chl-a/Secchi depth averages compared to

shallow lake state standards. .......................................................................................... 70 Table 7-3: Crosby Lake historical lake grades. ....................................................................... 70 Table 7-4: Crosby Lake 2004 fish populations. ....................................................................... 77

8 LITTLE CROSBY LAKE RESULTS Table 8-1: Little Crosby Lake morphometric data. .................................................................. 80

2013 CRWD Lakes Monitoring Report viii

Table 8-2: Little Crosby Lake historical yearly TP/Chl-a/Secchi depth averages compared to shallow lake state standards. .......................................................................................... 84

Table 8-3: Little Crosby Lake historical lake grades. .............................................................. 84 9 LOEB LAKE RESULTS

Table 9-1: Loeb Lake morphometric data. .............................................................................. 92 Table 9-2: Loeb Lake historical yearly TP/Chl-a/Secchi depth averages compared to shallow

lake state standards. ....................................................................................................... 98 Table 9-3: Loeb Lake historical lake grades. .......................................................................... 98 Table 9-4: Loeb Lake historical record of fish stocking. ........................................................ 105 Table 9-5: Loeb Lake 2006 fish populations. ........................................................................ 105

10 LAKE MCCARRONS RESULTS Table 10-1: Lake McCarrons morphometric data. ................................................................. 109 Table 10-2: Lake McCarrons historical yearly TP/Chl-a/Secchi depth averages compared to

deep lake state standards. ............................................................................................ 116 Table 10-3: Lake McCarrons historical lake grades. ............................................................. 117 Table 10-4: Lake McCarrons historical record of fish stocking. ............................................ 125 Table 10-5: Lake McCarrons 2008 fish populations. ............................................................. 125

2013 CRWD Lakes Monitoring Report 1

1 EXECUTIVE SUMMARY

1.1 CAPITOL REGION WATERSHED DISTRICT

Capitol Region Watershed District (CRWD) in Ramsey County, Minnesota is a special purpose unit of government that manages, protects, and improves water resources within its watershed boundaries. CRWD is a 41 square mile subwatershed nested in the Upper Mississippi River basin that contains portions of five cities, including: Falcon Heights, Lauderdale, Maplewood, Roseville, and Saint Paul. CRWD is highly urbanized with a population of 245,000 and 42% impervious surface coverage. All runoff from CRWD eventually discharges to the Mississippi River from 42 outfall locations within the District. One goal of CRWD is to understand and address the presence of pollutants and their impacts on water quality within the District in order to better protect, restore, and manage local water resources. To address this goal, CRWD established a monitoring program in 2004 to begin assessing water quality and quantity of various District subwatersheds and stormwater best management practices (BMPs) over time. CRWD collects water quality and continuous flow data from major subwatersheds, lakes, ponds, and stormwater BMPs.

1.2 PURPOSE OF REPORT

This annual report focuses on the water quality of the five District lakes (Como, Crosby, Little Crosby, Loeb, and McCarrons) during the 2013 monitoring season (May to September). In addition, specific water quality data (total phosphorus, chlorophyll-a, and Secchi disk depth) for each lake from 2013 were compared to previous monitoring years. The purpose of this report is to characterize overall lake health and water quality in 2013 and examine trends over time which in turn will inform lake management decisions for continued protection and improvement of District lakes. Previous annual monitoring reports (2005-2012) are available on the CRWD website at http://www.capitolregionwd.org/.

1.3 LAKE MONITORING METHODS

Within CRWD, the five lakes are located in four of the sixteen major subwatersheds (Como, Crosby, McCarrons, and Trout Brook). CRWD organized the collection of water quality data for all of these lakes including information on chemical parameters (i.e., nutrients, pH, and conductivity), physical parameters (i.e., water clarity, dissolved oxygen, and temperature), and biological parameters (i.e., chlorophyll-a, aquatic vegetation type and abundance, and phytoplankton, zooplankton, and fisheries populations).


Lake data is collected by Ramsey County Public Works, Ramsey Conservation District, and the Minnesota Department of Natural Resources. Also, rainfall data was collected by CRWD from six precipitation gauges across the watershed.

1.4 2013 MONITORING RESULTS

The total amount of precipitation for the 2013 calendar year was 36.36 inches which was 5.75 inches greater than the NWS 30-year normal of 30.61 inches. May 2013 was the wettest month, comprising 20% of the total annual precipitation amount for 2013. April, May, and June were all above average in precipitation, by a total of 9.57 inches above the normal rainfall amounts for these months. Conversely, July to November (with the exception of October) were unseasonably dry, with only a few isolated events during these months. Also of note was a 1.4 inch rain event on October 2 after a period of little to no rainfall. The majority of the yearly precipitation occurred during April to June, and October. In 2013, the water quality of the five District lakes (Como, Crosby, Little Crosby, Loeb, and McCarrons) varied by water body and by time of year. Based on the MPCA eutrophication numeric water quality standards, Little Crosby Lake, Loeb Lake, and Lake McCarrons met the MPCA eutrophication water quality standards (for shallow/deep lakes) for all parameters during the entire 2013 growing season (May to September) (Table 1). Como Lake did not meet the MPCA shallow lake standards for total phosphorus (TP) and chlorophyll-a (Chl-a) concentrations, or Secchi disk depth during the entire 2013 growing season (Table 1). Crosby Lake met the MPCA shallow lake standards for Chl-a concentration and Secchi depth, but failed for TP concentrations (Table 1). Como Lake was the only District lake designated as impaired in 2013 and has been listed on the MPCA 303(d) list since 2002. Table 1-1: CRWD 2013 average, historical average, and lake standards for TP/Chl-a/Secchi depth

Lake grades were calculated for each lake based on the 2013 water chemistry data to provide a more understandable depiction of lake health and to better track lake water quality changes over time. The seasonal means of TP, Chl-a, and Secchi depth were examined for 2013 and previous years and grades were based on scoring ranges for each parameter (Table 2). Based on the lake grading system, three out of the five CRWD lakes were given good to excellent lake grades,

TP (µg/L)

Chl-a (µg/L)

Secchi (m)

TP (µg/L)

Chl-a (µg/L)

Secchi (m)

TP (µg/L)

Chl-a (µg/L)

Secchi (m)

209 47.4 0.8 174 36.1 1.5 <60 <20 ≥1.0

96 10.6 1.6 68 13.3 2.0 <60 <20 ≥1.0

59.8 5.1 3.0 83 8.3 2.5 <60 <20 ≥1.0

27 7.4 3.0 24 4.5 3.3 <60 <20 ≥1.0

20 4.1 3.3 34 10.0 2.9 <40 <14 ≥1.4

Value does not meet the state standard

Value meets the state standard

McCarrons

State Lake Standards

Como

Crosby

Little Crosby

Loeb

Lake

2013 Averages Historical Averages


where Lake McCarrons received the highest grade of ‘A’. Both Loeb and Little Crosby Lakes received good grades of ‘B+’ and ‘B’, respectively. An average water quality grade of ‘C’ was given to Crosby Lake and Como Lake received the lowest grade of ‘D’. Table 1-2: CRWD 2013 lake grades and historical lake grades for TP/Chl-a/Secchi depth

1.5 2014 RECOMMENDATIONS

Based on the results and findings of the 2013 Lakes Monitoring Report, CRWD has several goals and recommendations for 2014 to continue improving the monitoring program and the water quantity and quality dataset. Specifically, CRWD aims to complete the following in 2014:

Install level monitoring equipment in Como Lake, Crosby Lake, and Lake McCarrons to continuously measure lake level through the monitoring season.

Improve analysis of chemical and physical data previously collected but not fully analyzed in prior reports.

Increase collection of certain chemical/physical/biological lake data to include early spring and/or late fall:

o Expand monitoring of chemical parameters to include early spring and late fall. o Increase frequency of aquatic vegetation surveys and biovolume analysis to three

times per year to monitor in spring, summer, and fall. o Increase phytoplankton and zooplankton data collection to include early spring

and late fall. Initiate fisheries surveys annually on all lakes by an external consultant for years that the

Minnesota Department of Natural Resources does not survey CRWD lakes. Install temperature monitoring equipment in Como Lake and Lake McCarrons to

determine effect of higher temperature runoff to lake temperature. Conduct lake bottom sediment analyses on all lakes in the winter of 2014 – 2015 to

establish baseline knowledge of sediment data and understand internal pollutant loading of CRWD lakes.

Improve analysis of all chemical, physical, and biological data and the interactions of this data to increase understanding of what these parameters are indicating about overall lake health.

TP Chl-a Secchi TP Chl-a Secchi F C D D F C C D+D B C C C B C C+C A B B D A B BB A B B+ B A A AA A A A C A B B

ComoCrosby

Little CrosbyLoeb

McCarrons

Lake2013 Lake Grade 2013

Average Historical Lake Grade Historical

Average


2 INTRODUCTION

2.1 CRWD BACKGROUND

Located in Ramsey County, Minnesota the Capitol Region watershed is a small urban subwatershed nested in the Upper Mississippi River basin with all runoff eventually discharging to the Mississippi River. Capitol Region Watershed District (CRWD) is a special purpose unit of government formed in 1998 to manage and protect all water resources within the Capitol Region watershed boundaries. CRWD contains portions of five cities, including: Falcon Heights, Lauderdale, Maplewood, Roseville, and Saint Paul (Figure 2-1). CRWD is highly urbanized with a population of 245,000 and 42% impervious surface coverage. Land use in the watershed is primarily residential with dense areas of commercial, industrial, and institutional uses.

2.2 CRWD WATER QUALITY ISSUES

Urban development in the watershed over time has significantly impacted the health and sustainability of the Mississippi River as well as CRWD lakes, wetlands, and streams. Impervious surfaces generate polluted stormwater runoff which causes poor water quality, increased peak storm flows, decreased groundwater recharge, increased flooding, and loss of biological habitat. Subsequently, stormwater runoff is one of the most significant sources of pollution to CRWD water resources. It delivers fertilizers, pesticides, pet and wildlife waste, nutrients, sediment, heavy metals, and other anthropogenic pollutants to local water bodies. As stormwater runs off the urban landscape, it is collected and conveyed through an extensive network of underground storm sewer pipes that eventually drain to the Mississippi River. A total of 42 outfall pipes discharge into the 13-mile stretch of the Mississippi River bordering CRWD. Both historical and current water quality data of CRWD lakes, ponds, and the Mississippi River indicate that these water bodies are impaired for various pollutants (including nutrients, bacteria, and turbidity) and are not meeting their designated uses for fishing, aquatic habitat, and recreation. The Mississippi River and Como Lake are listed on the Minnesota Pollution Control Agency (MPCA) 2012 303(d) list of impaired waters (MPCA, 2012). Impaired waters require a total maximum daily load (TMDL) study for pollutants of concern including nutrients, turbidity, metals, bacteria, chloride. The nutrient of primary concern in CRWD is phosphorus. Phosphorus is a biological nutrient which limits the growth of algae in most lakes and streams and is often found in high concentrations in stormwater. Phosphorus occurs naturally in the environment, but in excess can cause the overgrowth of algae and aquatic plants in lakes and rivers which reduces dissolved oxygen levels and increases turbidity of the water column. Common sources of


phosphorous include fertilizers from lawns and gardens, leaves and grass clippings, pet and wildlife waste, and automobile emissions. CRWD is within the Northern Central Hardwood Forest (NCHF) ecoregion. It is one of seven ecoregions in Minnesota and is characterized as an area with fertile soils with agriculture as the dominant land use in rural areas. In most lakes in the NCHF ecoregion, phosphorous is the least available nutrient; therefore, the concentration of phosphorous controls the extent of algal growth. Algal growth in turn affects the clarity and recreational potential of lakes. Chlorophyll-a (Chl-a) is a pigment present in algae. Measuring Chl-a concentration is a proxy for measuring algal population. Algal blooms can make recreation unpleasant and prevent it entirely, and certain species of algae are toxic to humans and other animals. In addition, as algae die and decompose, oxygen is consumed from the water column and made unavailable for fish and other aquatic animals. Chronic low dissolved oxygen concentrations (<5 mg/L) may result in fish kills and low diversity of aquatic species (Kalff, 2002). Sediment is another major constituent of stormwater runoff. Excessive amounts of sediment negatively impacts water clarity and impairs benthic aquatic habitat. The reduction or removal of sediment from stormwater is essential because other pollutants, such as phosphorus, adhere to sediment particles and are transported in suspension. Sediment originates from erosion of soil particles from construction sites, lawns, stream banks, and lake shores as well as sand application to roadways and parking lots for traction in the winter. Water transparency, or water clarity, (determined using a Secchi disk) is another concern in area lakes. Lakes with high water clarity are generally considered healthier, and are characterized by more submerged aquatic plant growth, as clear water allows light to permeate to lower depth levels (Kalff, 2002). Increased plant growth also provides better habitat for aquatic organisms, including fish. Poor water clarity is a result of increased turbidity caused by suspended sediments, organic matter, and/or phytoplankton (algae). Heavy metals, such as lead and copper, are also pollutants of concern in CRWD because they can be toxic in high concentrations. Also, heavy metals can bioaccumulate in organisms, which is of concern to wildlife and humans. Potential sources of metals from road surface runoff include auto exhaust, tire wear, brakes, and some winter de-icing agents. Pathogens, which include bacteria and viruses, also contribute to the water quality degradation of CRWD water resources. They impact recreation and pose potential health risks to humans. Sources of pathogens include illicit sanitary connections to storm drains, and animal waste. Chloride in water bodies is a contaminant of concern for CRWD. High concentrations of chloride can harm fish and plant life by creating a saline environment. Also, once in dissolved form, chloride cannot be removed from a water body. Chloride is primarily sourced from road salt application for de-icing in the winter months.


2.3 CRWD LAKE MONITORING PROGRAM GOALS

CRWD was formed to understand and address these water quality impacts and to better protect and manage local water resources. In 2004, CRWD established a monitoring program to assess water quality and quantity of various District subwatersheds and stormwater best management practices (BMPs). Prior to the CRWD monitoring program, limited data was available on stormwater quantity and quality in the watershed. The objectives of the program are to identify water quality problem areas, quantify subwatershed runoff pollutant loadings, evaluate the effectiveness of BMPs, provide data for the calibration of hydrologic, hydraulic, and water quality models, and promote understanding of District water resources and water quality. The CRWD 2013 Lakes Monitoring Report presents information on annual CRWD lake water quality monitoring, including data collection methods and results for water chemistry, physical parameters, and biological parameters. Previous annual monitoring reports (2005-2012) are available on the CRWD website at www.capitolregionwd.org. Results and analysis of CRWD stormwater monitoring and stormwater BMPs are discussed in separate reports (CRWD, 2014; CRWD, 2012), which are also available on the CRWD website.


Figure 2-1: Capitol Region Watershed District in Ramsey County, Minnesota.


2.4 OVERVIEW OF CRWD LAKES

There are five lakes within the boundaries of CRWD: Como Lake, Crosby Lake, Little Crosby Lake, and Loeb Lake in St. Paul, and Lake McCarrons in Roseville (Figure 2-1). The lakes are monitored by Ramsey County Public Works (RCPW) and CRWD to assess overall health and to determine if each lake supports their designated uses for swimming, fishing, and/or aesthetics. All of the lakes receive stormwater runoff (directly and/or indirectly) and are nested within the Mississippi River Basin. Como Lake, Crosby Lake, Little Crosby Lake, and Loeb Lake are classified as shallow lakes and Lake McCarrons is classified as a deep lake. Shallow lakes have a maximum depth less than 15 ft, or more than 80% of the lake within the littoral zone (MPCA, 2014a). The littoral zone is the near-shore area of the lake in which plants grow (Kalff, 2002). Deep lakes have a maximum depth greater than 15 ft, or less than 80% of the lake within the littoral zone (MPCA, 2014a).


2.4.1 COMO LAKE Como Lake (Figure 2-2) is a 70.5 acre lake with a maximum depth of 15.5 ft and is located in the City of Saint Paul. The 1,856 acre Como Lake watershed land uses are primarily residential and parkland. Como Lake is classified as a shallow lake because nearly 100% of the lake is considered the littoral zone. The lake has been monitored since 1984, and although water quality has improved slightly over time, there has been an observed cyclical variation in water quality (Noonan, 1998). In an effort to improve water quality in the lake, the Como Lake Strategic Management Plan (CRWD, 2002) was developed in 2002 and can be found on the District website (http://www.capitolregionwd.org/). Como Lake is listed on the MPCA’s 2012 303(d) list of impaired waters (MPCA, 2012).


Figure 2-2: Como Lake.


2.4.2 CROSBY LAKE & LITTLE CROSBY LAKE Crosby Lake (45 acres) and Little Crosby Lake (8 acres) (Figure 2-3) are shallow lakes situated in the Mississippi River floodplain in Saint Paul and part of the Crosby Farm Regional Park and the Mississippi River National River and Recreation Area. The lakes are located within the 1,522 acres of Crosby Lake subwatershed; 197 acres of the subwatershed drain to Crosby Lake while 37 acres drain to Little Crosby Lake. The lakes are divided into two separate water bodies by a marsh/bog area 825 ft long. Crosby Lake is classified as a shallow lake because it has a maximum depth of 17 ft and the littoral zone covers 100% of the lake area. Little Crosby Lake is also considered a shallow lake even though it has a maximum depth of 34 ft, because it has a littoral area of 90% (<15 ft in depth). The watershed land uses for both water bodies are primarily parkland, single family residential, and industrial. A management plan for Crosby Lake (which included information regarding Little Crosby Lake) was created in 2012 (CRWD, 2012a), and can be found on the District website (http://www.capitolregionwd.org/). Crosby Lake has been monitored since 2005; Little Crosby Lake has been monitored since 2011. Neither lake met the MPCA water quality standards in 2012. Crosby did not meet the standards again in 2013. Water quality of both lakes, however, is greatly affected by the Minnesota and Mississippi Rivers, since it is located in the floodplain of their confluence.


Figure 2-3: Crosby and Little Crosby Lakes.


2.4.3 LOEB LAKE Loeb Lake (Figure 2-4) is a 9.7 acre shallow lake with a maximum depth of 28 ft and has a littoral area of 81%. Located in Marydale Park in the City of Saint Paul, the predominant land uses in the surrounding drainage area (44 acres) are mixed residential and parkland. The lake has a small drainage area, with no outlets. Loeb Lake has been monitored since 2003 (with the exception of 2004). A management plan for the lake was created in 2009 (CRWD, 2009), and can be found on the District website (http://www.capitolregionwd.org/). Loeb Lake is an unimpaired water body and is not currently on the MPCA 303(d) list.


Figure 2-4: Loeb Lake.


2.4.4 LAKE MCCARRONS Located in the City of Roseville, Lake McCarrons (Figure 2-5) is a 74.7 acre lake with a maximum depth of 57 ft. It is considered a deep lake with less than a 34% littoral zone. Lake McCarrons has a watershed area of 1,070 acres, with land use of mainly mixed residential and open space. Lake McCarrons has been monitored since 1988, and is the only District lake that allows swimming and has development (residential) directly on its shoreline. Lake McCarrons received an alum treatment in 2004 and water quality of the lake has shown improvement since this occurred. A management plan for the lake was created in 2003 (CRWD, 2003), and can be found on the District website (http://www.capitolregionwd.org/). The lake is considered unimpaired and is not currently listed on the MPCA 303(d) list of impaired waters.


Figure 2-5: Lake McCarrons.


3 METHODS

3.1 MONITORING LOCATIONS

Figure 3-1 shows the monitoring locations of CRWD lakes, as well as the subwatershed boundaries and rain gauge locations.

Figure 3-1: CRWD 2014 lake and rain gauge monitoring locations.


3.2 MONITORING METHODS

3.2.1 LAKE LEVEL

Lake elevation monitoring is organized by the Minnesota Department of Natural Resources (DNR) Lake Level Minnesota Program (DNR, 2014i). This program coordinates the monitoring by organizations and volunteers to gather weekly data of elevations on lakes throughout the state. Lake levels are measured using staff gages that are placed near the lakeshore in a stable and easy-to-access location. Data on lake levels is collected by the DNR Waters Staff, then compiled and stored in the Lake Finder database that can be accessed online to view historical lake levels for a particular lake (DNR, 2014g). Lake elevation monitoring by the DNR within CRWD occurs on Como Lake, Loeb Lake, and Lake McCarrons. As this data continues to be compiled, a lake elevation graph is updated in order to view historical fluctuations in lake levels. The ordinary high water level (OHWL) is one other parameter that is shown on these graphs (where applicable). The OHWL is defined as the “highest water level that has been maintained for a sufficient period of time to leave evidence upon the landscape, commonly the point where the natural vegetation changes from predominantly aquatic to predominantly terrestrial” (Scherek, 1993). The OHWL is used to determine regulatory controls, with the Minnesota DNR regulating activity below the OHWL and local units of government regulating activity above the OHWL. By including this as a part of the lake elevation graph, observations can be made as to how current and past years compare to the “normal” lake level. This does not always mean that the lake level ever reaches or surpasses the OHWL, as this level is based on landscape evidence indicating the historical water level and is not an average of past monitored water levels.

3.2.2 CHEMICAL AND PHYSICAL DATA COLLECTION

The 2013 lake water quality data (and all years preceding) was collected by RCPW throughout the growing season (May through September), resulting in a total of eight samples for the monitoring season (RCPW, 2009). The CRWD lakes sampling schedule was determined prior to the start of the monitoring season. At each lake, RCPW staff anchored a watercraft over the deepest part of the lake, and monitored for various water quality parameters. The physical and chemical parameters of depth, temperature, dissolved oxygen, conductivity, and pH were measured at one-meter sampling intervals for the full depth profile of the lake using a multi-probe. From these recordings, the depth of the epilimnion, thermocline, and hypolimnion was recorded. Additionally, at the lake sampling location, water chemistry samples were collected at multiple depths along the profile of the lake. At all lakes, two samples were obtained within the epilimnion, or mixed water layer. If RCPW staff was able to identify thermal stratification (where depths for the divisions between the epilimnion, thermocline, and hypolimnion can be identified), additional water samples from other depths were collected. One additional water sample was collected from within the thermocline and two were collected from within the hypolimnion. Any water samples collected were then stored and transported back to the RCPW lab and analyzed for the following parameters: Chl-a, TP, soluble reactive phosphorous (SRP), total Kjeldahl nitrogen (TKN), nitrate (NO3), ammonia (NH3), and chloride ion concentrations


(Cl). Water transparency, or water clarity, was determined with the use of a Secchi disk. A Secchi disk is a black and white patterned disk that is connected to a line or pole. To take a measurement, the Secchi disk is lowered slowly into the water column until the pattern is no longer visible. The depth at which the disk is no longer visible is then recorded.

3.2.3 PHYTOPLANKTON AND ZOOPLANKTON COLLECTION

Phytoplankton and zooplankton data collection occurred at the same time as water quality data collection by RCPW for 2013 and previous monitoring years. For phytoplankton analysis, a composite sample was collected using a plastic tube that was inserted vertically 2 m into the upper layer of the water column. This sample was emptied into a bucket, thoroughly mixed, and a sub-sample was collected and preserved. This water sample was placed in an enclosed cooler and taken back to the lab for analysis (RCPW, 2012). To collect a zooplankton sample, a net tow was lowered down to the observed thermocline (in order to collect samples from the oxygenated layer of the lake), allowed to settle, and then pulled back up to the water surface at a rate of 1 m/sec. The net and capture bucket were drained by swirling the capture bucket which allowed the water to drain out of the net and screen. Once the volume was reduced to 100 mL, the contents of the capture bucket were poured into another container and preserved in a 5% formaldehyde solution, then taken back to the RCPW lab for analysis (RCPW, 2012).

3.2.4 AQUATIC VEGETATION SURVEYS

Point-Intercept Survey Method

In 2013, all lakes were surveyed by the Ramsey Conservation District (RCD) for aquatic vegetation presence and abundance using the point-intercept method. This method consisted of using a GPS to pre-select specific monitoring points throughout the full area of the lake. At each evenly spaced (70 m distance) point, a double-tined metal rake was thrown out 1 m from the boat, dragged a distance of 1 m and brought back into the boat. Plant species were identified and given an abundance ranking based on the amount seen on the rake (Table 3-1). Any plants floating on the water surface were also identified. Table 3-1: Average abundance rating and description for aquatic vegetation (RCPW, 2009).

Percent Cover of Tines Abundance Ranking

81-100 5 61-80 4 41-60 3 21-40 2 1-20 1


Biovolume Survey Method

To collect data on submerged aquatic vegetation as well as data about the lake bottom, RCD used a Lowrance HDS-5 GPS enabled depth finder to assess evenly spaced transects at a minimum distance of 40 meters. The sonar log data that was collected was then analyzed by CI BioBase software to determine depth of the lake and the amount of aquatic vegetation (biomass) along each transect. These surveys also produced information estimating lake area and lake water volume. 3.2.5 FISH STOCKING AND SURVEYS

Fish stocking occurs annually through the Minnesota DNR in an effort to improve fishing conditions on selected MN lakes. Roughly 25% of the state's 5,400 fishing lakes have a set stocking schedule (DNR, 2014d). Fish are stocked at different life stages depending on the desired effect in the lake. Table 3-2 describes the different types. Table 3-2: Minnesota DNR fish stocking size definitions (DNR, 2014d).

Fish surveys are conducted every 5-10 years on the majority of Minnesota lakes (more frequently on lakes of higher fishing importance, for example, Lake Mille Lacs) by the DNR. Through fish surveys, DNR employees gain information on the species of fish in a lake in order to make management decisions and understand changes in lake water quality. Fish are collected using various field techniques based on the type and size of fish to be collected. These survey techniques include: gill netting (to capture larger, predator fish), trap netting (to capture smaller panfish), trawl and shoreline seines (to capture young fish), and electrofishing (to survey for bass, crappies and young walleyes). Once captured, information is recorded on the species, their number and weight, as well as how the numbers and weights compare to the normal expected range for the species. Data on fish length was also recorded (DNR, 2014d).

3.3 DATA ANALYSIS METHODS

3.3.1 MORPHOMETRIC DATA

Morphometric data (quantitative measurements on the form of the lake and surrounding area) was compiled for each lake. This included information regarding lake surface area, mean and maximum depth, littoral area percentage, lake water volume, watershed area, and watershed-to-lake area ratio. The watershed-to-lake area ratio represents how large the watershed is compared to the size of the lake. A high ratio indicates a large portion of land for potential runoff to the lake, while a low ratio indicates a smaller area conducting runoff. In general, having a lower

Fry Fish stocked in lakes shortly after hatching from eggs.

Fingerling Fish harvested from rearing ponds after one summer of growth.

Yearling Fish that are a year old at the time of stocking.

Adult Fish more than 1 year old, usually transferred from other waters.


ratio in urban areas decreases external nutrient loading to lakes, which in turn can result in improved water quality.

3.3.2 WATER QUALITY STANDARDS COMPARISON

A lake is considered eutrophic if it has high nutrient levels, low dissolved oxygen concentrations, and frequent algal blooms. Although some lakes are naturally eutrophic, many have become eutrophic as a result of anthropogenic activities. In order to identify eutrophic water bodies in Minnesota, the MPCA established eutrophication numeric water quality standards in lakes for TP, Chl-a, and Secchi depth (Table 3-3) (MPCA, 2014a). In the NCHF ecoregion, a different standard exists for shallow and deep lakes. Seasonal means were determined for each of these parameters based on the eight different monitoring events that occurred between May and September of 2013. For a lake to be considered unimpaired, and not eutrophic under the MPCA standards, it is required to meet the standard for both TP concentration and either the Secchi disk depth or Chl-a concentration. Lakes that do not meet the standards may be placed on the MPCA 303(d) list of impaired waters. To account for differences in natural trophic state, the standards vary by ecoregion and lake type. Table 3-3: Deep and shallow lake state water quality standards.

3.3.3 LAKE GRADING SYSTEM

In 2013, CRWD introduced the use of a lake grading system for reporting lake water quality (Table 3-4). This was based on the Metropolitan Council’s lake grading system that is used to compare lakes across the metro region and to offer a non-technical value of lake water quality that is more understandable to a wide variety of audiences (Osgood, 1989). The seasonal means of TP, Chl-a, and Secchi depth were examined for 2013 and previous years and grades were based on ranges for each parameter. The range is weighted such that a certain percentage of MN lakes fall into each grade. Each grade corresponds not only to ranges in the three lake eutrophication parameters (TP, Chl-a, and Secchi depth), but also to a recreational value for the lake that provides a description of user quality (MC, 2011). CRWD assigned each letter grade a numerical value (A = 5, B = 4, C = 3, D = 2, F = 1), and the average of these three values

Parameter

Deep Lake

Standarda,b

Shallow Lake

Standarda,c Units Source

TP* <40 <60 µg/L Minn. Stat. § 7050.0222

Chlorophyll-a <14 <20 µg/L Minn. Stat. § 7050.0222

Secchi depth ≥1.4 ≥1.0 m Minn. Stat. § 7050.0222

*MPCA standard for TP is listed in mg/L, but has been converted to µg/L.

a Standards apply to Class 2B w aters in the North Central Hardw ood Forest ecoregion. Class 2B w aters are designated for aquatic life and recreational use. All standard concentrations apply to chronic exposure.b A deep lake is defined as a lake w ith a maximum depth > 15 feet or one in w hich < 80% of the lake is in the littoral zone .c A shallow lake is defined as a lake w ith a maximum depth < 15 feet or one in w hich > 80% of the lake is in the littoral zone.


provided an overall lake grade (Table 3-5). The ranges in Table 3-5 are based off of methods used by the Minnehaha Creek Watershed District in their monitoring reports (MCWD, 2012). Table 3-4: Water quality parameter lake grade ranges, percentile ranges, and description of lake grade user quality (MC, 2011; Osgood, 1989).

Table 3-5: CRWD overall lake grade ranges.

3.3.4 PHYTOPLANKTON AND ZOOPLANKTON LAB ANALYSIS

All methods for lab analysis of phytoplankton and zooplankton were obtained from Ramsey County Lake Management Laboratory (RCLML), a part of RCPW (RCPW, 2012). In the lab, the preserved phytoplankton sample was analyzed and identity/counts were recorded. The classes/phylums that were identified are listed and described in Table 3-6 (Kalff, 2002; UCMP, 2014).

Grade Percentile TP (μg/l) Chl-a (μg/l) Secchi (m) Description of User QualityA <10 <23 <10 >3.0 Full recreational use capabilityB 10-30 23-32 10-20 2.2-3.0 Very good water quality but some recreational use impairmentC 30-70 32-68 20-48 1.2-2.2 Average water quality but are recreationally impairedD 70-90 68-152 48-77 0.7-1.2 Severly impaired recreational useF >90 >152 >77 <0.7 Extremely poor water quality; little to no recreational use

Grade RangeA 4.67 - 5.00A- 4.34 - 4.66B+ 4.01 - 4.33B+ 3.67 - 4.00B- 3.34 - 3.66C+ 3.01 - 3.33C 2.67 - 3.00C- 2.34 - 2.66D+ 2.01 - 2.33D 1.67 - 2.00D- 1.34 - 1.66F < 1.33


Table 3-6: Phytoplankton types, taxonomic classification, description, and water quality significance.

To analyze zooplankton, the preserved sample from the field was measured and a subvolume was analyzed for identity/counts. The zooplankton that were identified in this process are shown and described in Table 3-7 (Kalff, 2002). The Cladocerans identified during analysis consisted of Daphnia, Bosminae, Chydorus, Ceridaphnia, Diaphnosoma, and Leptodora. These genus-level organisms were combined and grouped under the heading ‘Cladocera’ for graphing purposes. Table 3-7: Zooplankton types, taxonomic classification, description, and water quality significance.

Techniques for creation of phytoplankton and zooplankton figures in the ensuing individual lake results sections were based off of methods used in the Minneapolis Park and Recreation Board 2011 Water Resources Report (MPRB, 2011). There are two figures for both phytoplankton and zooplankton. The first figure for phytoplankton compares total phytoplankton concentration and TP concentration from May to September. The first figure for zooplankton compares total zooplankton density and Chl-a concentration from May to September. The second figures depict

Phytoplankton Classification Description Water Quality Significance

Bacillariophyta Class DiatomsLarge populations suggest higher levels of dissolved silica needed to build external skeletons

Chlorophyta Phylum Green algaeGreatly contribute to freshwater lake species richness; contribute most significantly to biomass of eutrophic systems

Chrysophyta ClassGolden-brown

algaeNot overly abundant in eutrophic lakes; more plentiful in oligotrophic, clear-water lakes

Cryptophyta Phylum CryptomonadsMost prevelant in oligotrophic and mesotrophic lakes; division does not contain an abundance of species types

Cyanophyta PhylumBlue-green

algaeIndicative of highly nutrient-rich (eutrophic and hypereutrophic) lakes; large blooms are aesthetically displeasing and some can be toxic

Euglenophyta Phylum EuglenoidsGenerally small contribution to overall biomass except in small, highly eutrophic bodies of water

Pyrrophyta Phylum DinoflagellatesTypically contribute small portion of total biomass or species richness in temperate lakes

Zooplankton Classification Description Water Quality Significance

Cyclopoida OrderCarniverous copepods

Primarily carniverous crustaceans; feed on other zooplankton and fish larvae but also eat algae, bacteria, and detritus

Calanoida OrderOmnivorous copepods

Crustaceans that feed on ciliates as well as algae; change diet based on multiple variables including season and food availability

Nauplii GenusJuvenile

copepodsClassified as nauplii during the first 5 or 6 molts (motling occurs 11 times before adulthood) during the life span of a copepod

Rotifera PhylumSoft-bodied, multicellular invertebrates

Name originates from rotating wheel of cilia by mouth; important among invertebrates as many species can produce multi-generations per year

Cladocera SuborderType of

crustaceanMainly important filter-feeders covered by a hard cover; specific species Daphnia are main food source for planktivorous fish


the relative abundance of each type of phytoplankton and zooplankton in order to examine changes in their populations throughout the months monitored.

3.3.5 AQUATIC VEGETATION ANALYSIS

Biovolume Analysis

Sonar data was entered into CI BioBase software that generates aquatic vegetation and bathymetric maps (CIBB, 2014). The biovolume heat maps were coded by different color zones to highlight differences in cover of aquatic vegetation (where red indicates that 100% of the water column is being taken up by biovolume, or vegetation is growing to the water surface, and blue indicates 0%, or bare lake bottom). Statistics calculated along with the maps included plant biovolume (the percentage of the water column that is vegetation at a location where vegetation exists) and percent area covered (the amount of the lake area where vegetation exists) (CIBB, 2014).

Point-Intercept Analysis

Aquatic vegetation has been monitored infrequently in past years on CRWD lakes. Establishing a baseline of vegetation data for all lakes will be a key factor in making future monitoring decisions. Aquatic vegetation within a lake is dependent on many different factors, including; water clarity, water chemistry, and physical lake parameters (including depth, sediment substrate type, lake size/shape, and shoreline vegetation). Not only does aquatic vegetation stabilize bottom sediment, plants also provide habitat for aquatic animals and are usually the main primary producers in shallow lakes (Kalff, 2002). Collecting data on aquatic vegetation provides baseline information on what vegetation is in the lake, where it exists on the lake, and how much is present. Measuring annual changes in these factors can help identify trends in aquatic vegetation and water quality. Collecting data on aquatic vegetation using the point-intercept method allowed for two primary analyses to occur: computation of percent occurrence and average abundance. Percent occurrence represents the number of times a plant species was observed divided by the number of total sample sites where vegetation was observed. This information gives a good picture of the most common species of aquatic vegetation found on the lake. Average abundance is calculated as the average of the abundance rankings (measured at each location found) for a species. This shows how much vegetation of each species is occurring at the locations where vegetation is seen. A high average abundance ranking indicates thick cover of a species where it is observed. Conversely, a low average abundance ranking indicates minimal growth of a species.


4 CLIMATOLOGICAL SUMMARY

4.1 PRECIPTATION DATA COLLECTION METHODS

CRWD utilizes climatological data collected by the Minnesota Climatology Working Group (MCWG) at the University of Minnesota-St. Paul, and National Weather Service (NWS) at the Minneapolis-St. Paul International Airport (MSP) to calculate annual precipitation and help understand the effects of rainfall on lake water quality. MCWG records precipitation every fifteen minutes from an automatic rain gauge located approximately two miles west of the CRWD office. The data is reported on a public website (http://climate.umn.edu/). Rainfall totals (15-minute and daily) were recorded by CRWD from the MCWG website (MCWG, 2013). Snow and ice totals were not accurately reported by MCWG, so they were not recorded by CRWD from this source. The MCWG rain gauge was used as CRWD’s primary precipitation monitoring station because of the gauge’s close proximity to the District. The NWS weather station at MSP, located approximately ten miles south of the CRWD office, records many climate variables for each day, including: maximum, minimum, and average temperature; precipitation (including water amount in snow); snowfall; and depth of snowpack. Data is reported on a public website (www.crh.noaa.gov/mpx/Climate/MSPClimate). NWS daily precipitation totals were used if any snow or ice was logged as precipitation. Precipitation amounts as snow-water or ice-water are more accurately measured at this station because of the type of snow measurement device used.

4.2 2013 PRECIPITATION RESULTS

Table 4-1 lists 2013 daily precipitation totals, 2013 monthly precipitation totals, the 30-year monthly normal (1981-2010) (NWS, 2011), and the 2013 departure from historical monthly normals. Monthly totals are compared to the 30-year monthly normals at MSP (Figure 4-1). In 2013, almost all precipitation data from January to April and from November to December was provided by NWS. The May through October precipitation data was provided by MCWG. April, May, and June 2013 were all above average in precipitation with a total of 19.84 inches during these months, equaling 9.57 inches above the 30-year normal for this period (Table 4-1; Figure 4-1). During this time of year, soils are generally saturated, which causes higher runoff volumes from pervious and impervious surfaces. Precipitation in July, August, and September 2013 was a total of 5.60 inches below the 30-year normal for this period. The 2005-2013 CRWD annual precipitation data was compared to the NWS 30-year normal for the Minneapolis-St. Paul region (Figure 4-2; Table 4-2). The NWS 30-year normal is recalculated every 10 years. In 2010, the NWS 30-year normal was recalculated for 1981-2010 to


be 30.61 inches (formerly 29.41 inches (1971-2000). The total amount of precipitation in 2013 was 36.36 inches, which was 5.75 inches above the 30-year normal, and the wettest year since monitoring began in CRWD in 2005.


Table 4-1: Daily and monthly precipitation totals for 2013 compared to the NWS 30-year normals.

Day JAN FEB MAR APR MAY JUNE JULY AUG SEPT OCT NOV DEC

1 0 0.06 0 0 0.35 0.02 0 0 0 0 0 0

2 0.01 0.03 0 0 0 0 0 0 0 1.43 0 0.12

3 0 0.04 0 0 0.2 0 0 0 0 0.05 0 0.08

4 0 0.06 0.32 0 0.09 0.02 0 0 0 0.35 0.19 0.52

5 0 0.05 0.41 0.07 0 0.1 0.01 0.55 0 0.02 0.18 0

6 0 0.04 0 0.11 0 0.01 0 0.3 0 0.09 0.05 0

7 0 0 0 0.18 0 0 0.01 0.01 0 0 0 0

8 0 0 0 0.66 0.34 0 0 0 0 0 0 0.07

9 0 0 0.61 0.48 0.07 0.59 0.78 0 0 0 0 0

10 0.28 0.62 0.01 0.09 0 0 0 0 0.01 0 0 0.06

11 0.02 0 0 0.75 0 0.02 0 0 0 0.2 0 0

12 0 0 0 0.06 0 0.61 0 0 0 0 0 0

13 0 0.09 0 0.01 0.01 0 1.69 0 0 0 0 0.02

14 0 0.09 0.06 0.46 0 0 0 0 0.4 0.59 0 0.06

15 0 0 0.19 0 0 1.22 0 0 0.15 0.77 0 0

16 0.02 0 0 0 0 0.02 0 0 0 0.02 0.07 0.1

17 0 0 0 0.26 0.21 0 0 0 0.02 0.37 0 0

18 0.01 0.01 0.23 1.02 0.81 0 0 0 0.13 0.08 0 0

19 0 0 0 0.12 2.05 0 0 0 0.29 0.08 0 0.03

20 0 0 0 0 1.06 0 0 0 0.02 0.12 0 0.02

21 0 0 0 0.15 0.06 2.82 0.13 0 0 0 0.01 0

22 0 0.24 0 0.82 0.07 0.41 0 0 0.01 0.01 0 0.03

23 0 0 0 0.02 0 0.42 0 0 0 0.01 0 0

24 0 0 0 0 0.27 0.06 0 0 0 0 0 0.23

25 0 0 0 0 0.04 0 0.1 0 0 0 0 0.02

26 0 0 0 0.01 0 0.13 0.07 0 0 0 0 0.01

27 0.49 0 0 0 0.01 0 0.12 0 0 0 0 0

28 0 0 0 0.1 0 0.02 0 0 0.2 0 0 0

29 0.03 0 0 1.07 0.66 0.02 0.67 0 0.03 0 0

30 0 0.38 0 0.27 0 0.04 0 0 0.11 0 0.09

31 0 0 0.36 0.01 0.08 0.01 0 TOTAL

TOTAL 0.86 1.33 2.21 5.37 7.34 7.13 2.98 1.61 1.23 4.34 0.5 1.46 36.36

Monthly Normal

0.9 0.77 1.89 2.66 3.36 4.25 4.04 4.3 3.08 2.43 1.77 1.16 30.61

Departure from Normal

-0.04 0.56 0.32 2.71 3.98 2.88 -1.06 -2.69 -1.85 1.91 -1.27 0.30 5.75

Data supplied by MCWG

Data Supplied by NWS at MSP

No Date


Figure 4-1: 30-year normal and 2013 monthly precipitation totals for CRWD.

0

1

2

3

4

5

6

7

8

JAN FEB MAR APR MAY JUNE JULY AUG SEPT OCT NOV DEC

Pre

cip

itat

ion

(in

ches

)

Month

30-Year Normal MonthlyPrecipitation Totals

CRWD 2013 MonthlyPrecipitation Totals


Figure 4-2: Annual precipitation totals (2005-2013) observed in CRWD by MCWG.

35.9

8

31.6

9

29.7

2

21.6

7

23.3

4

36.3

2

33.6

2

30.2

6

36.3

6

30.61

0

5

10

15

20

25

30

35

40

2005 2006 2007 2008 2009 2010 2011 2012 2013

Pre

cip

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(in

ches

)

Precipitation (inches) NWS 30-Year Normal (1981-2010)


Table 4-2: CRWD annual precipitation totals and departure from the NWS 30-year normal.

4.3 2013 NOTABLE CLIMATOLOGICAL EVENTS

Other notable climate variables are summarized in Table 4-3. The 2013 snowfall total of 68.9 inches measured at MSP was 14.5 in higher than the 30-year normal of 54.5 inches. While the average snowfall amount in May is historically only a trace (MCWG, 2014), MSP recorded 0.5 inches on May 3. The last date with a 1 inch snowpack measured at MSP was April 23 (NWS, 2014a). This was 21 days later than the normal date of April 2 (NWS, 2014b). Ice out on lakes also occurred significantly later in 2013. Historical median ice out dates have not been established for any lakes within CRWD (DNR, 2014j), but the Minnesota DNR has collected historical median ice out dates for many lakes near CRWD, including:

Nokomis (April 4), Powderhorn (April 4), Josephine (April 7), Owasso (April 6), and Phalen (April 5).

The median of the historical median ice out dates for these nearby lakes is April 5. The only lake in CRWD with an ice out date recorded in 2013 was Como Lake (DNR, 2014h). Como Lake’s ice out date was April 23, which was 18 days later than the normal yearly median value of nearby lakes (April 5).

YearPrecipitation

(inches)aDeparture from

NWS Normal

2005 35.98 (+) 5.37"

2006 31.69 (+) 1.08"

2007 29.72 (-) 0.89"

2008 21.67 (-) 8.94"

2009 23.34 (-) 7.27"

2010 36.32 (+) 5.71"

2011 33.62 (+) 3.01"

2012 30.26 (-) 0.35"

2013 36.36 (+) 5.75

NWS 30-Year Normal

30.61 --

a Annual precipitation reported by the Minnesota Climatology Research Group (MCRG) and National Weather Service (NWS)


Table 4-3: Summary of 2013 climatological events.

The average monthly temperature, departure from the normal temperature, and daily highs and lows by date are listed in Table 4-4. The 2013 winter and spring months were colder than normal with an average departure from normal of 3.0 °F colder in January through May, November, and December. The 2013 summer months were warmer than normal with an average departure from normal of 2.0 °F warmer from June through October. Overall, the entire year was 0.9 °F below average. Table 4-4: MSP 2013 monthly temperatures and departure from historical normal temperatures

Snowmelt is a significant driver of hydrology in late winter and early spring. Daily snowpack depths recorded at MSP were plotted against daily high temperature in Figure 4-3 (NWS, 2014a). A complete melt was observed on January 9 to January 12 (3 inches to 0 inches). There was no snowpack recorded again until January 28. Snowpack reached a maximum depth of 13 inches on March 6. Snowpack depth went from 6 inches to 0 inches from March 25 to March 30.

Variable 2013 Average Notes

Total Precipitation (inches) 36.36 30.61 5.75" higher than 30-yr normal

Total Snow (inches) 68.9 54.4 14.5" higher than 30-yr normal

Last Significant Snowfall 5/3/2013 - 0.5" N/A Variable - No data on averages

Last date with greater than 1" snowpack 4/23 4/2 21 days later than normal

Ice Out 4/23 4/5 17 days later than normal

Leaf Off 11/14 N/A Later than normal

2013 Climate Summary

2013 Average (°F)

Departure from normal (°F)

High (°F) Low (°F)

January 16.9 1.3 41 on 18,11 -12 on 22

February 19.0 -1.8 39 on 13 -13 on 1

March 27.2 -5.6 56 on 30 5 on 20

April 41.0 -6.5 81 on 28 19 on 2, 1

May 58.3 -0.8 98 on 14 32 on 3

June 68.9 0.1 91 on 20 50 on 2

July 75.0 1.2 94 on 18, 17 53 on 28, 27

August 74.7 3.5 97 on 26 56 on 4

September 67.2 5.2 94 on 9,7 44 on 16

October 49.1 0.2 78 on 10 26 on 22

November 33.2 -0.5 56 on 15 7 on 23

December 12.4 -7.3 47 on 28 -13 on 24

Year 2013 45.2 -0.9 98 on 5/14 -13 on 12/24, 2/1

Temperature


Snowpack was not recorded again until April 10. Significant melt events occurred on April 13 to April 17 (4 inches to 0 inches), April 19 to April 22 (7 inches to 0 inches), and April 23 to April 24 (3 inches to 0 inches).


Figure 4-3: Daily temperature highs and snowpack depths from January to April 2013 as observed at MSP.

-10

0

10

20

30

40

50

60

70

80

90

1/1 1/8 1/15 1/22 1/29 2/5 2/12 2/19 2/26 3/5 3/12 3/19 3/26 4/2 4/9 4/16 4/23 4/300

2

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6

8

10

12

14D

aily

Hig

h T

emp

erat

ure

(D

egre

es F

)

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pac

k D

epth

(in

ches

)

Snowpack Depth

High Temp

Freezing Point


5 CRWD LAKES RESULTS SUMMARY

5.1 OVERALL DISTRICT LAKES RESULTS

Table 5-1 shows the 2013 averages, historical averages, and lake standards for TP and Chl-a concentrations and Secchi depth for each lake. The data is shown graphically in Figures 5-1, 5-2, and 5-3. Overall, there were no broad trends for all lakes in comparison to historical averages. As stated in the methods, in order to meet the lake eutrophication standards, the lake needs to meet the TP standard and either the Chl-a standard or the Secchi depth standard. In 2013, Como Lake and Crosby Lake did not meet the standards; Little Crosby Lake, Loeb Lake, and Lake McCarrons all met the eutrophication standards. In 2013, CRWD determined lake grades for each of its lakes based on the lake grade system created by the Metropolitan Council (Table 5-2) (Osgood, 1989). Three out of the five CRWD lakes were given good to excellent lake grades, where Lake McCarrons received the highest grade of ‘A’ and both Loeb and Little Crosby received good grades of ‘B+’ and ‘B’, respectively. An average water quality grade of ‘C’ was given to Crosby Lake and Como Lake received the lowest grade of ‘D’. All five of the lakes were relatively close to their average historical grades (Table 5-2). Como, Crosby, and Loeb Lakes all decreased by a half of a grade point in water quality in 2013 compared to their historical average grade. Little Crosby Lake stayed the same and Lake McCarrons improved by a full grade point in 2013 compared to the historical average lake grade. Table 5-1: CRWD 2013 average, historical average and lake standards for TP/Chl-a/Secchi depth.

TP (µg/L)

Chl-a (µg/L)

Secchi (m)

TP (µg/L)

Chl-a (µg/L)

Secchi (m)

TP (µg/L)

Chl-a (µg/L)

Secchi (m)

209 47.4 0.8 174 36.1 1.5 <60 <20 ≥1.0

96 10.6 1.6 68 13.3 2.0 <60 <20 ≥1.0

59.8 5.1 3.0 83 8.3 2.5 <60 <20 ≥1.0

27 7.4 3.0 24 4.5 3.3 <60 <20 ≥1.0

20 4.1 3.3 34 10.0 2.9 <40 <14 ≥1.4

Value does not meet the state standard

Value meets the state standard

McCarrons

State Lake Standards

Como

Crosby

Little Crosby

Loeb

Lake

2013 Averages Historical Averages


Table 5-2: CRWD 2013 and historical lake grades and averages for TP/Chl-a/Secchi depth.

In 2013, Wenck Associates, Inc. completed a comprehensive analysis of the historical chemical and physical data of all District lakes (Appendix 1). One valuable conclusion from this report was the need for additional data in order to understand the relationship between the numerous parameters that determine lake health. This report is formatted to include additional recommended data (i.e., biological parameters) and set up a framework for future years where more data can not only be reported upon, but can also be thoroughly analyzed.

5.2 SUMMARY OF INDIVIDUAL LAKES RESULTS

5.2.1 COMO Como Lake has been monitored since 1984, so historical averages represent 29 years of data. Como Lake degraded in water quality for all three of the eutrophication parameters in 2013, compared to the historical average (Figures 5-1, 5-2, and 5-3). Como Lake has historically not met shallow lake state standards for TP and Chl-a concentrations. This was the case in 2013 as well. Como Lake has historically met shallow lake state water quality standards for Secchi depth, but did not in 2013. 5.2.2 CROSBY Crosby Lake has been monitored since 2005, so historical averages represent eight years of data. Crosby Lake degraded in water quality for TP concentration and Secchi depth, and improved in water quality for Chl-a concentration when compared to the historical average (Figures 5-1, 5-2, and 5-3). The 2013 average TP concentration (96 µg/L) was 41% higher than the historical average (68 µg/L). Crosby Lake has historically been impaired for TP concentration; this was the case in 2013 as well. Crosby Lake has historically met water quality standards for Chl-a concentration and Secchi depth, which was also true in 2013. Crosby Lake’s high historical TP average is primarily due to high TP measurements from 2009-2012. 5.2.3 LITTLE CROSBY Little Crosby Lake has been monitored since 2011, so historical averages represent only two years of data. In 2013, Little Crosby Lake improved in water quality when compared to the historical averages for all three eutrophication parameters (Figures 5-1, 5-2, and 5-3). Little Crosby Lake has historically not met shallow lake standards for TP, but met standards for Chl-a and Secchi depth. However, in 2013, Little Crosby Lake met all three shallow lake standards.

TP Chl-a Secchi TP Chl-a Secchi F C D D F C C D+D B C C C B C C+C A B B D A B BB A B B+ B A A AA A A A C A B B

ComoCrosby

Little CrosbyLoeb

McCarrons

Lake2013 Lake Grade 2013

Average Historical Lake Grade Historical

Average


5.2.4 LOEB Loeb Lake has been monitored annually since 2003 (with the exception of 2004), so historical averages represent nine years of data (2003, 2005-2012). In 2013, Loeb Lake degraded in water quality when compared to the historical averages of all three water quality parameters (Figures 5-1, 5-2, and 5-3). The 2013 average Chl-a concentration (7.4 µg/L) was 64% higher than the historical average (4.5 µg/L). Loeb Lake has historically met all of the shallow lakes standards. Although the lake had poorer water quality in 2013 compared to previous years, the lake still met the eutrophication standards. 5.2.5 MCCARRONS Lake McCarrons has been monitored annually since 1988, so historical averages represent 25 years of data. The lake improved in water quality in 2013 when compared to the historical average for all parameters (Figures 5-1, 5-2, and 5-3). The 2013 average TP concentration (20 µg/L) was 41% lower than the historical average (34 µg/L). The 2013 average Chl-a concentration (4.1 µg/L) was 59% lower than the historical average (10.0 µg/L). Lake McCarrons met the all of the deep lakes standards in 2013; the historical averages met all but two of the deep lake standards as well.


Figure 5-1: CRWD 2013 vs. historical average TP concentrations and lake standard comparisons.

0

50

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250

Como Crosby Little Crosby Loeb McCarrons

To

tal P

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(µ

g/L

)

Historical Average 2013

CRWD Historical AveragesComo (1984 - 2012) McCarrons (1988 - 2012)Crosby (2005 - 2012) Loeb (2003 - 2012)Little Crosby (2011 - 2012)

Deep Lakes Standard

Shallow Lakes Standard


Figure 5-2: CRWD 2013 vs. historical average Chl-a concentrations and lake standard comparisons.

0

5

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45

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Como Crosby Little Crosby Loeb McCarrons

Ch

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(µ

g/L

)


CRWD Historical AveragesComo (1984 - 2012) McCarrons (1988 - 2012)Crosby (2005 - 2012) Loeb (2003 - 2012)

Deep Lakes Standard



Figure 5-3: CRWD 2013 vs. historical average Secchi depths and lake standard comparisons.

0.0

0.4

0.8

1.2

1.6

2.0

2.4

2.8

3.2

3.6

Como Crosby Little Crosby Loeb McCarronsS

ecch

i D

epth

(m

eter

s)


CRWD Historical AveragesComo (1984 - 2012) McCarrons (1988 - 2012)Crosby (2005 - 2012) Loeb (2003 - 2012)

Deep Lakes Standard


Como Lake


6 COMO LAKE RESULTS

6.1 COMO LAKE BACKGROUND

Figure 6-1: View of the northwest shoreline of Como Lake. Como Lake, a 70.5 acre shallow lake located in St. Paul’s 348 acre Como Regional Park, is one of the most popular lakes in the area. In 2012, Como Regional Park was the second most frequently visited park in the Twin Cities Regional Parks System, with almost 4.5 million visits over the course of the year (MC, 2013). The lake is frequented by residents and visitors who come for various forms of outdoor recreation, including running/walking and fishing. The lake does not offer swimming opportunities and only allows non-motorized cartop-carried boats and electric trolling motors on the lake for fishing/recreation purposes.

Como Lake


With a volume of 468.8 acre-ft, a littoral area that covers 100% of the lake, and a maximum depth at 15.5 ft (one of two deep areas of the lake), Como is a typical shallow urban lake (Table 6-1; Figure 6-2). Como Lake receives water from the surrounding watershed (1,856 acres), which consists of runoff from residential areas including houses and streets, as well as from Como Golf Course, (also located within Como Park). Runoff from the residential areas is directed to the lake through a system of stormwater pipes located under the streets. Located upstream of Como Lake, Gottfried’s Pit receives drainage from Roseville, Falcon Heights, Ramsey County right-of-ways, and the City of St. Paul, before being pumped into Como Lake. Water occasionally outflows from the lake at the southeast corner, discharging into the Trout Brook storm sewer system which is routed to the Mississippi River (CRWD, 2002). The shallow depth of the lake, coupled with the large nutrient inputs from runoff sources, has had significant negative impacts to the lake’s health. One of the largest problems Como Lake faces is the excessive amount of sediment entering the lake through home construction, road application and general erosion. This has led to the formation of sediment deltas near stormwater inlets to the lake, which reduces overall lake volume, increases water turbidity and decreases habitat value for the lake’s fish populations. Sediment also provides a means by which other pollutants, including metals and hydrocarbons, can be transported to the lake. To address this problem, in 2001-2002, the lake was dredged to reduce the sediment deltas seen on the southwest side of the lake. This dredging reduced the amount of sediment that had accumulated in the lake and increased lake volume, giving the lake a higher capacity to absorb nutrient inflows. In addition, low oxygen levels during winter months caused partial fish kills dating back to 1945, leading Ramsey County to install an aerator in 1985 (CRWD, 2002). Renovation and a complete restocking of the fish populations in the lake occurred in 1985 after installation of the aerator in an effort to improve water quality through biomanipulation. Fish kills are now a rare occurrence in the lake, resulting only if there is equipment failure or an especially cold winter. Various shoreline improvement projects have been completed on the lake since 2003 by the City of St. Paul and Ramsey Conservation District, with help from CRWD and other organizations. These projects have stabilized the shoreline, reduced erosion, increased habitat for wildlife, replaced non-native invasive plants with native species and improved the aesthetics of the shoreline for visitors. Harvesting of aquatic plants has occurred at various times since the 1980s in order to enhance recreational opportunities. Numerous BMPs have been installed by CRWD, the City of St. Paul and others in the subwatershed to reduce pollutant loading to the lake. Starting in 2007, the Arlington-Pascal Stormwater Improvement Project was constructed upstream of Como Lake, which consisted of a series of BMPs including raingardens, infiltration trenches, an underground facility, and stormwater ponds. Improvements in water quality have been measured in the lake since the completion of the project. More information about the performance of these BMPs may be found in the CRWD Stormwater BMP Performance Assessment and Cost-Benefit Analysis (CRWD, 2012b).

Como Lake


Despite this upland watershed restoration, Como Lake is still a hypereutrophic lake and is listed on the MPCA’s 2012 303(d) list of impaired waters (MPCA, 2012). Como Lake was first listed in 1998 for mercury in fish tissue (TMDL plan approved in 2008) and in 2002 for nutrient/eutrophication biological indicators (TMDL plan approved in 2010) (MPCA, 2012). Odor problems due to end of summer algal blooms also continue to be a problem (and have been recorded since 1945). It is hypothesized that the water quality (referring to the TP, Chl-a, and Secchi disk depth) in Como Lake displays a cyclical trend, fluctuating every five to six years between fair and poor water quality (Figure 6-6) (Noonan, 1998). This suggests that the interactions among the biological, chemical and physical parameters of the lake need to be better understood in order to make informed management decisions to improve the lake’s health. Table 6-1: Como Lake morphometric data.

Surface Area

(acres)

Maximum Depth

(ft)

Littoral Area

Volume (acre-ft)

Watershed Area

(acres)

Watershed: Lake Area

(ratio)

70.5 15.5 100% 469 1,856 26.3

Como Lake


Figure 6-2: Como Lake bathymetric map.

6.2 LAKE LEVEL

The level of Como Lake has fluctuated around the OHWL (881.4 ft) since monitoring of the lake level began in 1978, varying between 879.2 ft to 883.5 ft, a range of 4.3 ft. The lowest of the range extremes occurred in June 1987, and the highest occurred in October of 2007 (Figure 6-3). The average level for 2013 was 881.3, just below the OHWL, indicating that, on average, normal fluctuations in water level were seen for the lake in 2013. Water level increased from January until the maximum level in July, then decreased from August to September during an extended dry period. Lake levels peaked again in October following a large precipitation event on October 2 (Figure 6-4).

Como Lake


Figure 6-3: Como Lake historical lake elevations.

879

880

881

882

883

884

1978 1983 1988 1993 1998 2003 2008 2013

Ele

vat

ion

(ft

ab

ov

e m

ean

se

a le

vel

)

Year

Lake Elevation

OHWL

OHWL is 881.4 ft

Como Lake


Figure 6-4: Como Lake 2013 lake elevations and precipitation.

6.3 WATER QUALITY RESULTS

During 2013, Como Lake was sampled eight times from May 3 to September 16 (Figure 6-5). As in previous years, Como Lake was characterized by high TP and Chl-a concentrations, and low Secchi depths. Sampling shows that TP concentrations were lower in the epilimnion of the lake during the beginning of the season (early May to mid-July), than at the end of the season (mid-July to mid-September). The average TP concentration for the first four samples (127 µg/L) was 129% lower than the average of the last four samples (291 µg/L), indicating a strong decrease in water quality between the beginning and the end of the monitoring season. This could be the result of higher rainfall and lower temperatures in the earlier part of the year, as well as potential increased loading from the end of July to September. Epilimnetic Chl-a concentrations exhibited a similar trend. Concentrations at the beginning of the season (35.1 µg/L) were 70% lower than the concentrations at the end of the season (59.6 µg/L). Water transparency peaked in mid-May (Secchi depth of 1.2 m), and generally decreased throughout the remainder of the season. During 2013, higher TP concentrations were generally correlated with higher Chl-a concentrations and lower Secchi depths. This suggests that phosphorus was a primary driver for water clarity in Como Lake during 2013.

0

1

2

3

4

5

6

7

8880.5

881.0

881.5

882.0

882.5

883.0

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Pre

cip

itat

ion

(in

ches

)

Ele

vat

ion

(ft

ab

ov

e m

ean

sea

lev

el)

Month

Daily Precipitation Total

Lake Elevation

OHWL

OHWL is 881.4 ft

Como Lake


Figure 6-5: Como Lake 2013 Secchi/TP/Chl-a comparison.

0

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4000

1

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3-May 17-May 7-Jun 3-Jul 23-Jul 9-Aug 26-Aug 16-Sep

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Sec

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epth

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Secchi TP Chl-a

Como Lake


Figure 6-6 shows yearly average historical TP concentrations, Chl-a concentrations, and Secchi disk depths graphically. In general, Como Lake has seen overall improvements in water quality since monitoring began in 1984, though each parameter tends to fluctuate annually. It is hypothesized that the lake is cyclic in water quality and biological response (Noonan, 1998), fluctuating between poor and fair water quality generally every five to six years (Figure 6-6). Total phosphorus concentration increased between 2009 and 2012, and decreased in 2013. Chlorophyll-a concentration has remained relatively fixed over the last four years. Secchi depth was at its deepest in recent years in 2008-2009, but has become shallower since then. The 2013 Secchi depth, however, was 14% deeper than the 2012 Secchi depth. Similar to 2013, the Secchi depth was inversely proportional to TP concentration during the period of record for Como Lake, indicating that phosphorus has consistently been a primary driver for water clarity. Yearly average historical TP concentrations, Chl-a concentrations, Secchi depths, and their comparisons to lake standards are shown in Table 6-2. Como Lake TP yearly average concentrations have exceeded the MPCA standards for all years of monitoring, and Chl-a concentrations have also exceeded the standard for the majority of years monitored. Conversely, almost three-quarters of the historical Secchi depth yearly averages met the standards. In 2013, CRWD issued a ‘D’ grade for Como Lake based on the average eutrophication parameters (Table 6-3). In other years, the lake mainly received grades of ‘C’ and ‘D’, with only two years in 1998 and 1999 receiving a ‘B’ grade.

Como Lake


Figure 6-6: Como Lake historical Secchi/TP/Chl-a comparison.

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6

1984

1985

1986

1987

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con

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s (µ

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)

Sec

chi

Dep

th (

met

ers)

Secchi TP Chl-a

Como Lake


Table 6-2: Como Lake historical yearly TP/Chl-a/Secchi depth averages compared to shallow lake state standards.

YearTP

(µg/L)Chl-a(µg/L)

Secchi(m)

1982 219 67.7 0.7

1984 190 98.7 0.6

1985 225 101.0 0.5

1986 310 38.7 1.1

1987 186 78.0 2.7

1988 137 24.6 2.0

1989 152 24.7 2.0

1990 198 49.3 0.9

1991 224 43.9 0.8

1992 152 26.8 1.2

1993 108 21.8 2.2

1994 121 29.0 1.7

1995 255 51.2 1.4

1996 276 57.6 1.2

1997 141 37.6 1.2

1998 104 9.2 3.2

1999 112 11.3 3.2

2000 133 19.6 2.1

2001 345 36.7 1.2

2002 147 29.2 1.7

2003 161 20.8 1.1

2004 106 13.3 1.8

2005 155 28.3 1.3

2006 138 31.8 1.0

2007 110 23.3 1.1

2008 81 10.4 2.1

2009 83 8.1 2.0

2010 141 39.7 1.2

2011 224 41.8 1.0

2012 338 41.5 0.7

2013 209 47.4 0.8

Value does not meet state standard*

Value meets state standard

*MPCA shallow lake standards are not to exceed 60 µg/L for TP and 20.0 µg/L for Chl-a, w ith a Secchi disk depth of at least 1.0 m.

Como Lake


Table 6-3: Como Lake historical lake grades.

1982 F D F F

1984 F F F F

1985 F F F F

1986 F C D D

1987 F F B D

1988 D C C C1989 D C C C1990 F D D D1991 F C D D1992 D C D D+1993 D C B C1994 D C C C1995 F D C D1996 F D C D1997 D C C C1998 D A A B1999 D B A B2000 D B C C2001 F C D D2002 D C C C2003 F C D D2004 D B C C2005 F C C D+2006 D C D D+2007 D C D D+2008 D B C C2009 D A C C+2010 D C C C2011 F C D D2012 F C D D2013 F C D D

YearSecchi Grade

TP Grade

Chl-a Grade

Overall Grade

Como Lake


6.4 PHYTOPLANKTON AND ZOOPLANKTON

During 2013, Como Lake was sampled for phytoplankton and zooplankton eight times from May 3 to September 16. In 2013, Cyanophyta (blue-green algae) increased in relative abundance from June through the end of the monitoring season in September, when it became the dominant type observed (Figure 6-9). Chlorophyta (green algae) remained a major part of the community throughout most of the monitoring season, with the highest levels at the beginning of July. The species dominance of green and blue-green algae was attributed to the steady increase in TP during the same time period (Kalff, 2002). With higher levels of available nutrients, increases in these types of phytoplankton are common. Overall phytoplankton concentrations decreased from June through the end of August, and then increased again in September. This is characteristic of algal blooms dominated by green and blue-green algae. Total phytoplankton concentration was at its highest at the beginning of July when zooplankton concentrations (Figures 6-7 and 6-8) were lowest. Zooplankton communities in Como Lake were dominated by Rotifers, from May through early June, and Cladocerans, from May through the end of the monitoring season at the end of September (Figure 6-10). Cladocerans, including the genus Daphnia, are important filter feeders in lake environments. Overall zooplankton density peaked in mid-May, was at its lowest at the beginning of July, and then increased again during August and September (Figure 6-8). Other orders of zooplankton were only present in low numbers throughout the year.

Como Lake


Figure 6-7: Como Lake 2013 total phytoplankton concentration and TP concentration.

Figure 6-8: Como Lake 2013 total zooplankton density and Chl-a concentration.

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TP

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Chl-a

Como Lake


Figure 6-9: Como Lake 2013 phytoplankton relative abundance.

Figure 6-10: Como Lake 2013 zooplankton relative abundance.

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Cyclopoida

Como Lake


6.5 AQUATIC VEGETATION

6.5.1 BIOVOLUME ANALYSIS As shown by the biovolume heat map of vegetation in Como Lake, the majority of the lake vegetation occurs along the shorelines, with particularly heavy vegetation on a few specific parts of the northwest and northeast shorelines (Figure 6-11). Overall, Como Lake does not have extensive aquatic vegetation, which could be contributing to poor water quality in the lake. Aquatic plants stabilize bottom sediment which prevents re-suspension of sediments that decreases water clarity (DNR, 2014f). Aquatic plants also intake nutrients for growth, making those nutrients unavailable for use by algae, which reduces algal overabundance and improves water quality.

Figure 6-11: Como Lake 2013 biovolume heat map. 6.5.2 POINT-INTERCEPT SURVEYS

In June of 2013, plant species observed in Como Lake were Canada waterweed, filamentous algae, coontail, curly-leaf pondweed, and slender naiad (Figure 6-12). The species occurring at the most locations throughout the lake in July were Canada waterweed, filamentous algae, flatstem pondweed and coontail (with sago pondweed, lesser duckweed and blue-green algae seen at only 4% of the locations). Sago pondweed, while not observed at many locations, was the most abundant where it was seen (Figure 6-13). Other species exhibited average abundance rankings. The presence of Eurasian watermilfoil has not yet been observed in Como Lake.

Como Lake


The dominant species in June was curly-leaf pondweed (Figure 6-12). As a result of its normal die-back by mid-summer, however, it was absent by the end of July. Curly-leaf pondweed has been observed in vegetation surveys since 2010. This non-native invasive species causes problems by displacing other native plants and forming thick mats on the surface of a lake that disrupt boating and recreation. In addition, when the plants die back in mid-summer, the resulting increase in phosphorus from the decomposing plant material causes disruptive algal blooms (DNR, 2005).

Figure 6-12: Como Lake 2013 percent occurrence of vegetation present.

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Per

cen

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6/6/2013

7/24/2013

Como Lake


Figure 6-13: Como Lake 2013 average abundance ranking of vegetation present.

6.6 FISH STOCKING AND SURVEYS

Fish stocking in Como Lake has focused on bluegill and channel catfish (primary management species for the lake) (Table 6-4). Como Lake is part of the Minnesota DNR’s “Fishing in the Neighborhood” program, which increases angling opportunities for children and families in urban environments, encourages environmental stewardship, and improves knowledge of natural resources (DNR, 2014e). Therefore, these lakes are generally stocked with fish that are better for general angling activities. As a result, numbers of black crappie and bluegill observed were generally higher in the last survey of Como Lake completed in 2011 by the Minnesota DNR (Table 6-5). A wide variety of panfish were present in the lake, as well as a few kinds of piscivorous fish (i.e., northern pike). The next survey date by the Minnesota DNR for Como Lake is set for 2016.

0

1

2

3

4

5A

ver

age

Ab

un

dan

ce

Ran

kin

g

6/6/2013

7/24/2013

Como Lake


Table 6-4: Como Lake historical record of fish stocking.

Table 6-5: Como Lake 2011 fish populations.

Bluegill

Adult Adult Yearling Adult Yearling Yearling Fingerling Adult Yearling

2013 486

2011 124 3900 3593

2010 24 91 3900 4

2009 3457 816 1200

2008 155 4502

2007 284 150 3864 179 414

2006 1384

2005

2004 959

Channel catfish Largemouth bass Walleye Yellow perchYear

0-5 6-8 9-11 12-14 15-19 20-24 25-29 30+

Black bullhead 0 50 20 1 0 0 0 0 71

Black crappie 103 160 2 0 0 0 0 0 272

Bluegill 201 31 0 0 0 0 0 0 237

Channel catfish 0 0 7 7 2 1 1 0 19

Golden shiner 2 0 0 0 0 0 0 0 2

Hybrid sunfish 9 0 0 0 0 0 0 0 9

Northern pike 0 0 0 0 3 35 10 1 49

Pumpkinseed sunfish 29 0 0 0 0 0 0 0 29

Walleye 0 0 0 0 3 2 0 0 5

White sucker 0 0 0 0 3 0 0 0 3

Yellow bullhead 0 23 9 1 0 0 0 0 33

Yellow perch 10 5 0 0 0 0 0 0 16

SpeciesNumber of fish caught in each category (inches)

Total

Como Lake


6.7 OVERALL LAKE EVALUATION

Como Lake experiences a cyclic variation in water quality and biological response (Noonan, 1998), fluctuating between poor and fair water quality generally every five to six years. The period of record indicates that phosphorus has consistently been a primary driver for water clarity. It has historically not received very high lake grades, indicating lower user quality. The lake generally supports a fair variety of fish, but does not contain a significant amount of aquatic vegetation. Previous reporting on Como Lake focused on an analysis of TP, Chl-a, and Secchi depth trends over the monitoring season and compared to past monitoring years. Conversely, this report contains more extensive information on lake history, lake morphometric data, lake level, additional water quality analysis (i.e., lake grading), phytoplankton and zooplankton populations, aquatic vegetation communities, and fish populations. For this year’s report, this information was solely reported upon, but not analyzed for trends or relationships between parameters. A more robust analysis will be done in future monitoring reports that examines the interactions between all parameters monitored in order to present a picture of the overall health of Como Lake.

Como Lake


Crosby Lake


7 CROSBY LAKE RESULTS

7.1 CROSBY LAKE BACKGROUND

Figure 7-1: View of the southwest shoreline of Crosby Lake. Crosby Lake is situated within Crosby Farm Regional Park, located in Saint Paul and a part of the Mississippi River National River and Recreation Area (part of the National Park Service) (CRWD, 2012a). The park itself is 736 acres and consists of floodplain and bluff areas. It offers various outdoor activities for fishing, canoeing, walking, hiking and winter cross-country skiing. The park has diverse wetland and forest habitats that support a large variety of plants, trees, and wildlife. Crosby Lake is 45 acres and has a maximum depth of 17 ft with a 100% littoral area (Table 7-1; Figure 7-2). It is located in the floodplain area of the park between a large bluff and the main channel of the Mississippi River.

Crosby Lake


Water flows into the lake during high water periods from wetlands on the east and north sides via culverts. Seepage from the base of the bluff (consisting of sandstone and limestone) is also an input to Crosby Lake. The major groundwater input to the lake comes from the St. Peter aquifer to the west. CRWD developed a lake management plan for Crosby Lake that assessed the current condition of the Lake and characteristics of its watershed, identified the issues of greatest concern, and established management goals and an implementation plan for addressing identified issues (CRWD, 2012a). A key piece of understanding that came out of the plan was the interaction between Crosby Lake and the Mississippi River. As Crosby Lake sits within the floodplain of the Mississippi River, it is intermittently flooded during periods of high water. The normal water level (or ordinary water level) of the lake is 694 ft. The normal pool elevation of the river is 687 ft (CRWD, 2012a). Therefore, under normal, non-flood conditions, groundwater flows from the lake to the river. The lake does not normally directly output to the river. Under high water conditions, however, the river will overflow to the lake near the northeast corner. CRWD determined that a 49,000 cfs flow (equivalent of a stage of 697 ft) would cause an exchange between the river and the lake to occur, equating to a 3-year storm event (meaning that this has a 33% chance of occurring each year) (CRWD, 2012a). Looking at the historical record since 1982, only 2.5% of recorded river flows have been high enough for an exchange to occur. During these exchanges, the water bodies interchange not only water, but nutrients, other pollutants, and biological organisms contained within. Since the start of development of the Crosby Lake Management Plan, a number of water quality improvement projects have been implemented by CRWD, the City of Saint Paul and others to reduce stormwater runoff to Crosby Lake. In 2010, the City of Saint Paul installed filtration swales as part of the reconstruction of the Samuel Morgan pedestrian and bikeway trails along Shepard Road. CRWD provided the City of Saint Paul a grant in 2012 for the installation of a rain garden and swale during the reconstruction of the east end parking lot in Crosby Farm Regional Park. In addition, CRWD supports the Friends of Mississippi River’s efforts to restore the native prairie areas in Crosby Farm Regional Park. Lastly, as part of the reconstruction of the Madison-Benson Streets area near Crosby Lake in 2013, the City of Saint Paul constructed boulevard tree trench systems and rain gardens to treat street and sidewalk runoff. Management efforts need to take into account the dynamic relationship between the lake and the river. Although water quality has been good in the past, with TP concentrations below the state standards, recent years have shown increasing TP concentrations that have surpassed the standard (Figure 7-4; Table 7-2). The source of these high nutrient concentrations could be from high flow periods of the river where large sediment loads enter the lake. From a management perspective, this could be hard to control.

Crosby Lake


Table 7-1: Crosby Lake morphometric data.

Figure 7-2: Crosby Lake bathymetric map.

7.2 LAKE LEVEL

There is no historical lake level data for Crosby Lake from the Minnesota DNR. CRWD will begin monitoring Crosby Lake level in 2014.

Surface Area

(acres)

Maximum Depth

(ft)

Littoral Area

Volume (acre-ft)

Watershed Area

(acres)


(ratio)

45.0 17.0 100% 130 197 4.4

Crosby Lake



Crosby Lake was sampled eight times during 2013, from May 14 to September 25 (Figure 7-3). As in previous years, Crosby Lake was characterized by high TP concentrations, but moderate Chl-a concentrations and Secchi depths. Samples show TP concentrations in the lake exceeded state standards throughout the monitoring season but were lowest at the beginning (May 14) and end (September 25), with an average concentration of 65 µg/L. The six samples taken June 4 to September 4 averaged 107 µg/L; 65% higher than the beginning/end-of-season average. Epilimnetic Chl-a concentrations varied throughout the year, with a peak in late August; the only time the state standard was exceeded. Water transparency peaked on June 4 (exhibiting a Secchi depth of 3.2 m), decreased until mid-July, and remained relatively constant until the end of the growing season (with a Secchi depth average of 1.3 m). During 2013, fluctuations in Chl-a concentration were not generally associated with fluctuations in TP concentration. The trend in Secchi depth was not associated with TP or Chl-a concentrations. This suggests that factors in addition to phosphorus were contributing to algal growth and changes in water transparency in Crosby Lake during 2013.

Crosby Lake


Figure 7-3: Crosby Lake 2013 Secchi/TP/Chl-a comparison.

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Figure 7-4 shows yearly average historical TP concentrations, Chl-a concentrations, and Secchi disk depths graphically. Crosby Lake has been characterized by high epilimnetic TP concentrations over the last four years. The average TP concentration from 2005 to 2009 was 41.2 µg/L, while the average TP concentration from 2009-2013 was 108.7 µg/L, a 164% increase from the previous time period. Chlorophyll-a concentrations were markedly high in 2011 (44.3 µg/L), whereas concentrations in 2012 (6.9 µg/L) and 2013 (10.6 µg/L) were closer to the 2005-2009 average (7.44 µg/L). In the first year Crosby Lake was monitored (2005) the Secchi depth average was the deepest on record, 3.2 m. Since then, Secchi depths have fluctuated annually but have generally decreased as Chl-a concentrations increased. It is noteworthy that despite a record TP concentration average in 2012, the yearly average Chl-a concentration and Secchi depths were similar to 2006-2009 values, years with lower TP concentrations. These trends suggest Crosby Lake Chl-a concentrations have drivers other than phosphorus alone. However, the data suggests that water clarity is principally affected by Chl-a concentration during the period of record. Yearly average historical TP concentrations, Chl-a concentrations, Secchi depths, and their comparisons to lake standards are shown in Table 7-2. Crosby Lake met the standards for all three parameters from 2005-2009 (Table 7-2). From 2010-2013, however, it exceeded the standards for TP, and also for Chl-a in 2011. Crosby Lake has historically ranged between a lake grade of ‘B+’ and ‘C’ (Table 7-3). The most recent grades (2010-2013) have been a ‘C’ as a result of the high TP concentrations during this time period.

Crosby Lake


Figure 7-4: Crosby Lake historical Secchi/TP/Chl-a comparison.

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Crosby Lake


Table 7-2: Crosby Lake historical yearly TP/Chl-a/Secchi depth averages compared to shallow lake state standards.

Table 7-3: Crosby Lake historical lake grades.

YearTP

(µg/L)Chl-a(µg/L)

Secchi(m)

2005 50.0 2.5 3.2

2006 49.5 5.2 2.1

2007 39.3 10.4 2.1

2008 39.0 9.2 1.9

2009 28.0 9.9 2.0

2010 91.0 17.6 1.4

2011 122.0 44.3 1.3

2012 125.7 6.9 2.0

2013 96.0 10.6 1.6




2005 C A A B+2006 C A C B2007 C B C C+2008 C A C B2009 B A C B2010 D B C C2011 D C C C2012 D A C C+2013 D B C C

YearSecchi Grade

TP Grade

Chl-a Grade

Overall Grade

Crosby Lake



Crosby Lake was sampled for phytoplankton and zooplankton eight times during 2013, from May 14 to September 25. There was a diverse phytoplankton community during May and June, with a larger population of Euglenophyta observed during June (Figure 7-7). From mid-July through late September the community was dominated by Chlorophyta. Total concentration of phytoplankton had multiple peaks throughout the summer corresponding to low zooplankton concentrations (Figures 7-5 and 7-6). A large bloom in phytoplankton concentration occurred at the end of August (Figure 7-5). Cladoceran (important lake filter-feeders including the order Daphnia) populations were the most prominent zooplankton type from May until August (Figure 7-8). Populations of Cladocerans, Rotifers, Nauplii, and Calanoids were observed in the remaining months of the year. Overall zooplankton concentration had peaks in May, June, and July (Figure 7-6).

Crosby Lake


Figure 7-5: Crosby Lake 2013 total phytoplankton concentration and TP concentration.

Figure 7-6: Crosby Lake 2013 total zooplankton density and Chl-a concentration.

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Crosby Lake


Figure 7-7: Crosby Lake 2013 phytoplankton relative abundance.

Figure 7-8: Crosby Lake 2013 zooplankton relative abundance.

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Cyclopoida

Crosby Lake



7.5.1 BIOVOLUME ANALYSIS As viewed in the biovolume heat map of vegetation for Crosby Lake, aquatic vegetation makes up a majority of the lake’s water column (higher vegetation areas are denoted with red, where no vegetation is shown as blue) (Figure 7-9). In the deeper middle of the lake there are small pockets of vegetation (indicated as green on the map).

Figure 7-9: Crosby Lake 2013 biovolume heat map. 7.5.2 POINT-INTERCEPT SURVEYS In June, dominant vegetation species on Crosby Lake included lesser duckweed, white water lily, sago pondweed and filamentous algae (all receiving average abundance rankings) (Figure 7-10; Figure 7-11). By July, the most abundant species had changed to coontail, star duckweed, and filamentous algae. Coontail had the highest average abundance in June and July, making it one of the dominant plant species in the lake. Filamentous algae was another dominant plant, observed during both months monitored with a modestly high average abundance ranking. The presence of Eurasian watermilfoil has not yet been observed in Crosby Lake. However, curly-leaf pondweed appeared for the first time in the 2013 survey. While it was not found at many locations in the lake in 2013 (Figure 7-10) and was not overly abundant at the locations in which it was found (Figure 7-11), this is still an undesirable species to see emerge. Curly-leaf

Crosby Lake


pondweed is a non-native invasive species. It causes problems by displacing other native plants, and forming thick mats on the surface of a lake that disrupt boating and recreation (DNR, 2005). In addition, when the plants die back in mid-summer, the resulting increase in phosphorus from the decomposing plant material causes disruptive algal blooms (DNR, 2005).

Figure 7-10: Crosby Lake 2013 percent occurrence of vegetation present.

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Per

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6/13/2013

7/25/2013

Crosby Lake


Figure 7-11: Crosby Lake 2013 average abundance ranking of vegetation present.


Crosby Lake does not have a history of fish stocking by the Minnesota DNR. The last survey of fish populations in Crosby Lake was completed in 2004 by the Minnesota DNR (Table 7-4). As the DNR does not stock this lake, populations observed are naturally present in the lake, and are influenced by overflow from the Mississippi River during high water levels. The largest population of fish observed was bluegills, followed by pumpkinseed sunfish. This indicates that previously in Crosby Lake, a majority of the fish were planktivorous panfish. Northern pike were also seen in moderate abundance. Dogfish, common carp, golden shiner, and white sucker were also found in low abundance in Crosby Lake during the 2004 survey, but were not measured for length to include in Table 7-4 (DNR, 2014g). Crosby Lake is scheduled to be surveyed again in the summer of 2014.

0

1

2

3

4

5A

ver

age

Ab

un

dan

ce R

anki

ng

6/13/2013

7/25/2013

Crosby Lake


Table 7-4: Crosby Lake 2004 fish populations.


In 2013, Crosby Lake showed trends in Secchi disk depth that were not associated with TP or Chl-a concentrations. This suggests that factors in addition to phosphorus were contributing to algal growth and changes in water transparency in Crosby Lake during the year. In addition, the average yearly TP concentration of the lake was markedly higher in recent years (2010-2013). Historically, Crosby Lake has received average lake grades, indicating that it generally has average water quality. The lake contained extensive vegetation during the 2013 surveys and average populations of planktivorous fish. Previous reporting on Crosby Lake focused on an analysis of TP, Chl-a, and Secchi depth trends over the monitoring season and compared to past monitoring years. Conversely, this report contains more extensive information on lake history, lake morphometric data, lake level, additional water quality analysis (i.e., lake grading), phytoplankton and zooplankton populations, aquatic vegetation communities, and fish populations. For this year’s report, this information was solely reported upon, but not analyzed for trends or relationships between parameters. A more robust analysis will be done in future monitoring reports that examines the interactions between all parameters monitored in order to present a picture of the overall health of Crosby Lake.

0-5 6-8 9-11 12-14 15-19 20-24 25-29 30+

Black bullhead 0 1 4 0 0 0 0 0 5

Black crappie 15 4 0 0 0 0 0 0 19

Bluegill 108 20 0 0 0 0 0 0 128

Hybrid sunfish 8 2 0 0 0 0 0 0 10

Northern pike 0 0 0 0 11 12 4 1 28



Yellow perch 0 2 0 0 0 0 0 0 2


Total

Crosby Lake


Little Crosby Lake


8 LITTLE CROSBY LAKE RESULTS

8.1 LITTLE CROSBY LAKE BACKGROUND

Figure 8-1: View of the southeast shoreline of Little Crosby Lake. Little Crosby Lake is 8 acres with an average depth of 7 ft and a maximum depth of 34 ft. Little Crosby Lake is a shallow lake with a littoral area of 88% (Table 8-1). Little Crosby Lake is connected to Crosby Lake through a marsh/bog area 825 ft long. For information on Little Crosby Lake Background, see Crosby Lake Background (page 63). Little Crosby Lake has only been monitored since 2011. In the past three years of monitoring, it exceeded the state standard for TP in 2011-2012, and was at the standard limit in 2013 (Table 8-2). The source of these high nutrient concentrations could be from high flow periods of the river,

Little Crosby Lake


bringing large sediment loads into the lake. From a management perspective, this could be hard to control. Table 8-1: Little Crosby Lake morphometric data.

8.2 LAKE LEVEL

There is no historical lake level data for Little Crosby Lake from the Minnesota DNR. CRWD will begin monitoring Crosby Lake level in 2014. General trends in lake level can be seen by looking at Crosby Lake level, as these two bodies of water are indirectly connected.


Little Crosby Lake was sampled eight times in 2013, from May 14 to September 25 (Figure 8-2). As in the previous two years, Little Crosby Lake was higher in TP concentrations, but these TP concentrations are relatively low when compared to Como and Crosby Lakes. It had low Chl-a concentrations and deep Secchi depths. Samples show epilimnetic TP concentrations peaked in late Jun to Mid-July, and generally decreased through the end of the season. The Chl-a concentration peaked early to mid-August, and decreased though the end of the season. Water clarity generally improved as the growing season progressed and always met the state standard. During 2013, the August peak in Chl-a lagged the July peak in TP by approximately one month. Contrary to expectations, deep Secchi depths were recorded during high TP concentrations in June and July. In addition, the August 19 sampling date had one of the lowest TP concentrations of the year but the highest Chl-a concentration. This suggests that Chl-a concentrations may have been driven by factors other than TP concentration, or something was causing Chl-a concentrations to lag TP. Higher Chl-a concentrations were generally associated with shallower Secchi depths in 2013.

Surface Area

(acres)

Maximum Depth

(ft)

Littoral Area

Volume (acre-ft)

Watershed Area

(acres)


(ratio)

8.0 34.0 88% 59 37 4.6

Little Crosby Lake


Figure 8-2: Little Crosby Lake 2013 Secchi/TP/Chl-a comparison.

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Little Crosby Lake


Figure 8-3 shows yearly average historical TP concentrations, Chl-a concentrations, and Secchi disk depths graphically. Little Crosby Lake has improved with respect to TP and Chl-a concentrations between each year of monitoring. Secchi depths improved from 2011-2012, and stayed constant from 2012-2013. Throughout the last three years, high water transparency has been associated with lower TP and Chl-a concentrations. Yearly average historical TP concentrations, Chl-a concentrations, Secchi depths, and their comparisons to lake standards are shown in Table 8-2. Little Crosby Lake TP concentrations exceeded the MPCA standards for 2011 and 2012, while all other parameters met the lake standards. In 2013, however, all parameters met the state standard. The lake received grades of ‘A’ for both Chl-a and Secchi depth in 2012 and 2013, but as a result of an average TP grade, received an overall grade of ‘B+’ for these years (Table 8-3). Overall, Little Crosby Lake exhibited relatively high water quality for the years monitored.

Little Crosby Lake


Figure 8-3: Little Crosby Lake historical Secchi/TP/Chl-a comparison.

0

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2011

2012

2013

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Little Crosby Lake


Table 8-2: Little Crosby Lake historical yearly TP/Chl-a/Secchi depth averages compared to shallow lake state standards.

Table 8-3: Little Crosby Lake historical lake grades.


Little Crosby Lake was sampled for phytoplankton and zooplankton eight times in 2013, from May 14 to September 25. Euglenophyta were the dominant type of phytoplankton during the month of May in Little Crosby Lake (Figure 8-6). From the beginning of June until the end of the season, however, phytoplankton populations were dominated by Chlorophyta (green algae) and Cyanophyta (blue-green algae). Chlorophyta commonly occurs in smaller ponds, giving the water a grass-green color (Kalff, 2002). The small increase in phytoplankton concentration observed at the end of August corresponds to a decrease in zooplankton concentration at the same time (Figures 8-4 and 8-5). Total phytoplankton concentrations were lower from June through September than the beginning of the year, dropping from 12,000/mL in May to below 2,000/mL. This was due to the sharp disappearance of Euglenophyta populations. While the majority of the phytoplankton biomass in the lake was green and blue-green algae after June, there was not a significant amount of overall phytoplankton biomass. Cladoceran (important lake filter-feeders including the order Daphnia) populations were the most prominent zooplankton type throughout the monitoring season at Crosby Lake (Figure 8-7). Populations of Cyclopoids, Calanoids, Nauplii, and Rotifers were also prominent throughout the year. Density peaked at the beginning of June, and reached its lowest point at the end of that same month (Figure 8-5).

YearTP

(µg/L)Chl-a(µg/L)

Secchi(m)

2011 101.7 11.4 2.0

2012 65.1 5.1 3.1

2013 60.0 5.1 3.0




2011 D B C C2012 C A A B+2013 C A A B+

YearSecchi Grade

TP Grade

Chl-a Grade

Overall Grade

Little Crosby Lake


Figure 8-4: Little Crosby Lake 2013 total phytoplankton concentration and TP concentration.

Figure 8-5: Little Crosby Lake 2013 total zooplankton density and Chl-a concentration.

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Little Crosby Lake


Figure 8-6: Little Crosby Lake 2013 phytoplankton relative abundance.

Figure 8-7: Little Crosby Lake 2013 zooplankton relative abundance.

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Calanoida

Cyclopoida

Little Crosby Lake



8.5.1 BIOVOLUME ANALYSIS As viewed in Figure 8-8, the majority of Little Crosby Lake contains aquatic vegetation, with this vegetation consuming the full water column in almost all locations where vegetation is observed.

Figure 8-8: Little Crosby Lake 2013 biovolume heat map. 8.5.2 POINT-INTERCEPT SURVEYS In 2013, Little Crosby Lake had a robust aquatic vegetation community with nine different species of plants observed by late summer. Six of these species were also present in June (Figure 8-9). Star duckweed and sago pondweed were the two species occurring most frequently throughout the lake, with sago pondweed being the dominant type in June, and star duckweed becoming more prominent in late July. While coontail was found at only a third of the sites in both months surveyed, it was highly abundant by late July (Figure 8-10). Most plants, while found on many points in the lake, were not especially abundant at each location (with the exception of coontail). Curly-leaf pondweed, a non-native invasive species, was present in both June and July at 33% of locations where vegetation was found (Figure 8-9) and at relatively low abundance rankings (Figure 8-10). It was previously observed in the lake in 2011, but was absent in 2012 surveys.

Little Crosby Lake


Curly-leaf pondweed causes problems by displacing other native plants and forming thick mats on the surface of a lake that disrupt boating and recreation. In addition, when the plants die back in mid-summer, the resulting increase in phosphorus from the decomposing plant material causes disruptive algal blooms (DNR, 2005).

Figure 8-9: Little Crosby Lake 2013 percent occurrence of vegetation present.

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6/14/2013

7/25/2013

Little Crosby Lake


Figure 8-10: Little Crosby Lake 2013 average abundance ranking of vegetation present.


There is no history of fish stocking for Little Crosby Lake by the Minnesota DNR, nor have any fish surveys been completed for this lake. CRWD plans to survey fish populations on Little Crosby Lake during the summer of 2014.

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Little Crosby Lake



Little Crosby Lake has a relatively short monitoring record when compared to the other District lakes. Since beginning monitoring in 2011, it exhibited relatively stable Chl-a concentrations and Secchi disk depths, and decreased in TP concentration between the 2011 and 2013 monitoring years. Much of the lake area was covered by extensive vegetation in 2013, and contained a moderate diversity of plant species by mid-summer. Previous reporting on Little Crosby Lake focused on an analysis of TP, Chl-a, and Secchi depth trends over the monitoring season and compared to past monitoring years. Conversely, this report contains more extensive information on lake history, lake morphometric data, lake level, additional water quality analysis (i.e., lake grading), phytoplankton and zooplankton populations, aquatic vegetation communities, and fish populations. For this year’s report, this information was solely reported upon, but not analyzed for trends or relationships between parameters. A more robust analysis will be done in future monitoring reports that examines the interactions between all parameters monitored in order to present a picture of the overall health of Little Crosby Lake.

Loeb Lake


9 LOEB LAKE RESULTS

9.1 LOEB LAKE BACKGROUND

Figure 9-1: View of the boat launch on the east shoreline of Loeb Lake. Loeb Lake, located in Marydale Park in the northwestern portion of the City of St. Paul, is a 9.7 acre lake with a maximum depth of 28 feet and an 81% littoral area (Table 9-1). The area has a walking path, children’s play area, picnic areas, a fishing pier, and a boat launch. The surrounding area is primarily residential land use. The watershed area contributing inflow to the lake is 44 acres. Water enters the lake from the north half of the watershed through sheet flow traveling through Marydale Park, as well as a storm sewer that collects runoff from Mackubin Street between Maryland and Jessamine Avenues (CRWD, 2009). Runoff from the south half of the watershed enters Loeb Lake through

Loeb Lake


two different storm sewers. The storm sewers drain streets on the south and east sides of the lake, discharging to a stormwater pond on the southeast corner. A pipe directly connects this pond to Loeb Lake. There are no direct outlets from Loeb Lake. Loeb Lake has been monitored since 2003 and has had relatively stable TP, Chl-a, and Secchi disk depth values that have consistently met the state standards. Therefore, lake conditions have appeared to remain stable in the past nine years. Previous winter kills of fish have been observed in Loeb Lake, but have not occurred since 2000, when an aerator was installed in the lake (CRWD, 2009). One of the biggest concerns for Loeb Lake for future management efforts is the high stormwater runoff (the majority of the water budget inflow) and subsequent influx of nutrients into the lake (CRWD, 2009). While water quality is currently very high, good management efforts around the lake to prevent further increases in nutrient inputs will be key in preventing lake degradation. Table 9-1: Loeb Lake morphometric data.

9.2 LAKE LEVEL

Loeb Lake level has been monitored since 2003, with the exception of May 2004 through February 2006 when level data was not available (Figure 9-2). Loeb Lake does not have an OHWL to compare the current year to historical “normal” lake levels. The lowest recorded water level of the lake occurred in May 2009 at a level of 848.6 ft. Lake levels were at their highest in August 2011 and July 2013, with levels of 851.63 ft and 851.58 ft, respectively. In 2013, lake level increased from January until it peaked on July 3, then decreased through the rest of the year (Figure 9-3).

Surface Area

(acres)

Maximum Depth

(ft)

Littoral Area

Volume (acre-ft)

Watershed Area

(acres)


(ratio)

9.7 28.0 81% 84 44 4.5

Loeb Lake


Figure 9-2: Loeb Lake historical lake elevations.

848

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852

2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

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Loeb Lake


Figure 9-3: Loeb Lake 2013 lake elevations and precipitation.


Loeb Lake was sampled eight times during 2013, from May 3 to September 16 (Figure 9-4). As in previous years, Loeb Lake was characterized by low TP and Chl-a concentrations, and deep Secchi depths. TP levels were highest (57.5 µg/L) during the first sampling event on May 3. Samples show decreasing TP concentrations until early July, increasing until August 9, then remaining stable through the end of the season. Chlorophyll-a concentrations varied throughout the growing season without a temporal trend, indicating that it was not phosphorus-driven. The high Chl-a value observed on August 26 could be a result of the sampling event occurring either during or directly after a bloom, making the sample potentially unrepresentative of the general Chl-a value during this time period. Secchi depths were generally shallower during the first three samples (average 2.2 m), and deeper during the last five samples (average 3.5 m). The data suggests that during 2013, higher water clarity was generally associated with lower Chl-a concentrations.

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Loeb Lake


Figure 9-4: Loeb Lake 2013 Secchi/TP/Chl-a comparison.

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Loeb Lake


Figure 9-5 shows yearly average historical TP concentrations, Chl-a concentrations, and Secchi disk depths graphically. Based on the historical data since 2005, water quality has been fairly steady in Loeb Lake. Total phosphorus concentrations decreased from 2003-2008, and have increased since 2009. Chl-a concentrations have been low, and varied only slightly throughout the period of record. Concentrations were low from 2005-2012, with an average of 4.1 µg/L. Conversely, 2003 and 2013 were characterized by higher Chl-a concentrations, 7.1 µg/L and 7.4 µg/L, respectively. Secchi depths were shallowest in 2003 (2.7 m). Averages were deep in 2005 and 2006 (3.8 m and 3.7 m), and have been generally getting shallower since. As with 2013, higher water transparency was generally associated with lower Chl-a concentrations throughout the period of record. Yearly average historical TP concentrations, Chl-a concentrations, Secchi depths, and their comparisons to lake standards are shown in Table 9-2. Loeb Lake has had a stable and consistently positive water qualtity history. It has not exceeded the average summer TP, Chl-a or Secchi disk depth standards in its monitoring history. The overall lake grade has historically been an ‘A’, with only one ‘B’ grade occurring in 2003 (2004 was not monitored) (Table 9-3). The high water quality lake grades associated with Loeb Lake indicate that it continues to be one of the highest water quality lakes in the District.

Loeb Lake


Figure 9-5: Loeb Lake historical Secchi/TP/Chl-a comparison.

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Loeb Lake


Table 9-2: Loeb Lake historical yearly TP/Chl-a/Secchi depth averages compared to shallow lake state standards.

Table 9-3: Loeb Lake historical lake grades.

YearTP

(µg/L)Chl-a(µg/L)

Secchi(m)

2003 37.5 7.1 2.7

2004 N/A N/A N/A

2005 31.0 3.8 3.8

2006 26.5 4.0 3.7

2007 17.4 4.5 3.3

2008 18.0 4.8 3.2

2009 15.6 3.5 3.4

2010 21.0 4.0 3.5

2011 25.0 4.3 3.0

2012 27.1 4.2 3.1

2013 27.0 7.4 3.0




2003 C A B B2004 N/A N/A N/A N/A2005 B A A A2006 B A A A2007 A A A A2008 A A A A2009 A A A A2010 A A A A2011 B A A A2012 B A A A2013 B A A A

YearSecchi Grade

TP Grade

Chl-a Grade

Overall Grade

Loeb Lake



Loeb Lake was sampled eight times during 2013, from May 3 to September 16. From May to July in Loeb Lake, concentrations of Chlorophyta, Cryptophyta, Euglenophyta and Crysophyta were observed in varying amounts (Figure 9-8). Phytoplankton concentrations were dominated by Cyanophyta and Chlorophyta from July through the end of the monitoring season. Total phytoplankton concentration peaked at the beginning of June then fluctuated between low and high concentrations (consisting mainly of Cyanophyta) from July through September (Figures 9-6 and 9-8). Dominance of the zooplankton community shifted from Cyclopoids from May through June to Cladocerans from July through September (Figure 9-9). Cladocerans, including the genus Daphnia, are important filter feeders in lake environments. Nauplii were present throughout the year, while Calanoids and Rotifers were observed beginning in June and in small densities throughout the rest of the monitoring season. Total zooplankton density generally stayed consistently high throughout the monitoring season, with few intense low periods (Figure 9-7).

Loeb Lake


Figure 9-6: Loeb Lake 2013 total phytoplankton concentration and TP concentration.

Figure 9-7: Loeb Lake 2013 total zooplankton density and Chl-a concentration.

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Loeb Lake


Figure 9-8: Loeb Lake 2013 phytoplankton relative abundance.

Figure 9-9: Loeb Lake 2013 zooplankton relative abundance.

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Loeb Lake



9.5.1 BIOVOLUME ANALYSIS Figure 9-10 shows that a large majority of Loeb Lake has extensive vegetation, as indicated by the areas in red (where 100% of the water column contains vegetation). The middle area of the lake, the deepest part, does not contain any vegetation.

Figure 9-10: Loeb Lake 2013 biovolume heat map. 9.5.2 POINT-INTERCEPT SURVEYS There was not a wide variety of plant species present at the beginning of June, with only coontail, curly-leaf pondweed and Eurasian watermilfoil seen at average abundances (Figure 9-11). As curly-leaf pondweed and Eurasian watermilfoil both experience die-off around mid-summer, they were not spotted when surveyed again at the end of June. Instead, additional vegetation such as filamentous algae, lesser duckweed, sago pondweed, and flatstem pondweed were observed. Coontail was present at all locations where vegetation was seen on both survey dates. The average abundance rating of this plant type, however, almost doubled between survey times at the beginning of June and the end of July (Figure 9-12). Other plant types identified were less abundant. The presence of both curly-leaf pondweed and Eurasion watermilfoil in Loeb Lake presents potential problems for future management decisions. Curly-leaf pondweed and Eurasian

Loeb Lake


watermilfoil are both non-native invasive species, causing problems by displacing other native plants, and forming thick mats on the surface of a lake that disrupt boating and recreation (DNR, 2014b; DNR, 2005). In addition, when curly-leaf pondweed plants die back in mid-summer, the resulting increase in phosphorus from the decomposing plant material can cause disruptive algal blooms (DNR, 2005). The spreading of Eurasian watermilfoil makes it an especially difficult plant to manage, as a new plant can grow from just a tiny piece of an original plant. This makes it easy to float and grow quickly in other areas of a lake, as well as be transported between lakes on boat trailers and fishing gear (WSDE, 2014). Both species have been observed in Loeb Lake since 2005.

Figure 9-11: Loeb Lake 2013 percent occurrence of vegetation present.

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6/3/2013

7/23/2013

Loeb Lake


Figure 9-12: Loeb Lake 2013 average abundance ranking of vegetation present.


Loeb Lake is part of the Minnesota DNR’s “Fishing in the Neighborhood” program which provides angling opportunities for children and families in urban environments, encourages environmental stewardship, and improves knowledge of natural resources (DNR, 2014e). Therefore, these lakes are stocked with fish that are better for general angling activities. As seen in Table 9-4, the main fish type stocked in Loeb Lake in recent years are adult bluegill, with black crappie, catfish and walleye (important management species in the past). Panfish (i.e., black crappie, bluegill, and hybrid/green/pumpkinseed sunfish) were the most abundant observed fish types in the 2006 Loeb Lake survey conducted by the Minnesota DNR (Table 9-5). Of the panfish observed, bluegill and hybrid sunfish populations were the highest. Loeb Lake is scheduled to be surveyed again by the Minnesota DNR in 2014.

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Loeb Lake


Table 9-4: Loeb Lake historical record of fish stocking.

Table 9-5: Loeb Lake 2006 fish populations.


Loeb Lake exhibits the best water quality of any District lake, and has historically received an ‘A’ lake grade, indicating high water quality and user quality. This could be the result, however, of a very small watershed: lake area ratio, with very little runoff (carrying external pollutants) entering the lake. Loeb Lake held an abundant amount of aquatic vegetation in 2013, but most species monitored (aside from coontail) only showed moderate abundance throughout the lake area. Previous reporting on Loeb Lake focused on an analysis of TP, Chl-a, and Secchi depth trends over the monitoring season and compared to past monitoring years. Conversely, this report contains more extensive information on lake history, lake morphometric data, lake level, additional water quality analysis (i.e., lake grading), phytoplankton and zooplankton populations, aquatic vegetation communities, and fish populations. For this year’s report, this information was solely reported upon, but not analyzed for trends or relationships between parameters. A more robust analysis will be done in future monitoring reports that examines the interactions between all parameters monitored in order to present a picture of the overall health of Loeb Lake.

Black crappie

Adult Adult Yearling Adult Yearling Adult Yearling Yearling Fingerling Fry

2013 185 610

2012 152

2011 26 144 689 709

2010 74 50 1211

2009 207 106 47 622

2008 244 380 55 1290

2007 69 1018 38 1040 138 630 13,000

2006 524 34 10,000

2005 9 242 627 19 10,000

2004 444 3 149 10,000

YearChannel catfish Largemouth bass WalleyeBluegill

0-5 6-8 9-11 12-14 15-19 20-24 25-29 30+

Black bullhead 0 1 8 0 0 0 0 0 9

Black crappie 1 6 0 0 0 0 0 0 7

Bluegill 32 16 0 0 0 0 0 0 50

Green sunfish 1 0 0 0 0 0 0 0 1

Hybrid sunfish 23 3 0 0 0 0 0 0 26

Largemouth bass 0 1 0 0 0 0 0 0 1


White sucker 0 0 0 0 1 0 0 0 1


Total

Loeb Lake


Lake McCarrons


10 LAKE MCCARRONS RESULTS

10.1 LAKE MCCARRONS BACKGROUND

Figure 10-1: View of the west shoreline of Lake McCarrons. Lake McCarrons is a 74.7 acre, deep lake located in the city of Roseville. With a maximum depth of 57 ft and a 36% lake littoral area, it supports a variety of activities including swimming, boating, and fishing (Table 10-1; Figure 10-2). The beach and boat ramp are maintained during the summer months by RCPW. Lake McCarrons County Park, located on the east shore of the lake, also supports visitors to the lake with a beach building, picnic shelter, and boat access with car/trailer parking. The 1,070 acre watershed of Lake McCarrons consists of residential properties, commercial and public areas, highway, wetland/grassland/woodland areas, and a park bordering it on the east

Lake McCarrons


side. The outlet of the Villa Park Wetland Treatment System located on the western edge of the lake is the primary inlet to Lake McCarrons. A secondary inlet enters on the north side of the lake via William Street Pond. It has one main outlet at the east end of the lake. This outlet is the headwaters of the Trout Brook-West Branch Subwatershed, where water enters the Trout Brook Stormsewer system (CRWD, 2003). Multiple projects to improve water quality have been completed in recent years in the watershed draining to Lake McCarrons. In 1987, the Villa Park Wetland Treatment System became operational, which consisted of a 2.4 acre pond that empties into a series of five wetland cells. These cells then drain to a final terminal wetland which overflows at high levels to Lake McCarrons. The purpose of this system is to channel stormwater through a series of wetlands that decreases flow velocity. This allows sediments and bound nutrients to settle before entering the lake. This system reduced the amount of total phosphorus and dissolved phosphorus entering the lake (CRWD, 2003). In 2004, improvements to the system were made which removed the pipes connecting the wetland treatment cells, improved the berms and constructed timber weirs at each of the wetland outflows to provide a fixed and stabile overflow. In 2013, CRWD dredged several of the wetland cells in the Villa Park system. A total of more than 17,000 cubic yards of sediment was removed from the system to improve stormwater treatment and residence time before water flows into Lake McCarrons. In October of 2004, CRWD completed an alum treatment on the lake, in which 492 tons of aluminum sulfate was applied below the surface of the lake. In this type of treatment, alum binds to free phosphorus particles causing them to drop out of the water column and settle on the bottom of the lake (Kennedy and Cook, 1982). This removes phosphorus from the water column, as well as prevents additional phosphorus release from the bottom sediments (CRWD, 2003). Water quality after this alum treatment showed improvements when compared to pre-alum treatment water quality (CRWD, 2003). One of the primary water quality concerns continues to be the flow of phosphorus into the lake, as stormwater is still the largest portion of inflow to the lake. Currently, Lake McCarrons is considered unimpaired and is not listed on the MPCA 303(d) list of impaired waters. While Lake McCarrons currently exhibits good water quality and is considered unimpaired, it still has concerns that need to be addressed in the future to improve the quality of the lake. For example, intermittent fish kills have occurred in Lake McCarrons in the past. These are caused by incomplete fall lake mixing, and early winter freeze and snow (CRWD, 2003). When this occurs, there is not enough oxygen in the lake to support fish populations, resulting in a full or partial fish kill. Another on-going management issue is the presence of invasive species on the lake including carp, Eurasian watermilfoil, and curly-leaf pondweed, all of which have been observed in recent years. Excessive aquatic vegetation growth on the west end of the lake has become a management concern, and CRWD anticipates plant removal on this part of the lake during 2014.

Lake McCarrons


Table 10-1: Lake McCarrons morphometric data.

Figure 10-2: Lake McCarrons bathymetric map.

Surface Area

(acres)

Maximum Depth

(ft)

Littoral Area

Volume (acre-ft)

Watershed Area

(acres)


(ratio)

74.7 57.0 34% 1,892 1,070 14.3

Lake McCarrons


10.2 LAKE LEVEL

Lake McCarrons level has been consistently below the OHWL of 842.2 ft throughout the historical lake level record (Figure 10-3). The water level came close to the OHWL in 1984 and 1997. A significantly low water level period occurred from 1932-1939. The water level has consistently stayed within 840-842 ft for the past 35 years. The 2013 lake level rose slightly from the beginning of the year until mid-May, and then steadily decreased throughout the summer (Figure 10-4). In October it peaked again following a large rain event on October 2.

Figure 10-3: Lake McCarrons historical lake elevations.

837

838

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841

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843

1924 1929 1934 1939 1944 1949 1954 1959 1964 1969 1974 1979 1984 1989 1994 1999 2004 2009 2014

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Lake McCarrons


Figure 10-4: Lake McCarrons 2013 lake elevations and precipitation.

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OHWLOHWL is 842.21 ft

Lake McCarrons



Lake McCarrons was sampled eight times in 2013 from May 6 to September 9 (Figure 10-5). Sampling shows the highest epilimnetic TP concentration (29 µg/L) during the first sampling event on May 6, which then dropped significantly by the end of May. After May, TP concentration increased through mid-July, and then decreased until the end of the season. Chl-a concentrations were variable throughout the season, and did not follow the same trend as TP. Concentrations peaked in mid-June (7.6 µg/L), and dropped to a season low in late July (0.99 µg/L). Water transparency was highest in late May (with a Secchi depth of 5.9 m). Water transparency then decreased until late July, followed by an increase through the end of the season. After June 2013, high water transparency was generally associated with low TP concentrations, which indicated TP was a major driver of water transparency during 2013.

Lake McCarrons


Figure 10-5: Lake McCarrons 2013 Secchi/TP/Chl-a comparison.

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Lake McCarrons


Figure 10-6 shows yearly average historical TP concentrations, Chl-a concentrations, and Secchi disk depths graphically. Since the 2004 alum treatment, the lake has experienced a significant improvement in water quality. The average TP concentration from 2005-2013 (16.1 µg/L) is 62% lower than the 1988-2004 average TP concentration (42.2 µg/L). The average Chl-a concentration from 2005-2013 (3.9 µg/L) is 70% lower than the 1988-2004 average TP concentration (12.8 µg/L). The average Secchi depth from 2005-2013 (3.8 m) is 58% deeper than the 1988-2004 average depth (2.4 m). Overall, the alum treatment is still shown to be helpful in improving water quality in the lake, and will likely remain helpful for many more years. The efficacy of the treatment will continue to be monitored in upcoming years. Recent years (2011-2013) have shown slightly higher TP and Chl-a concentrations, resulting in shallower Secchi disk depths (2005-2010 had an average of 4.1 m, while 2011-2013 had an average of only 3.1 m). Throughout the period of record (before and after alum treatment), high Chl-a concentrations have generally been associated with high TP concentrations. Low Secchi depths have generally been associated with high Chl-a and TP concentrations, indicating that they are primary drivers for water clarity in Lake McCarrons. Yearly average historical TP concentrations, Chl-a concentrations, Secchi depths, and their comparisons to lake standards are shown in Table 10-2. Lake McCarrons has only exceeded the state standards two times in its history of monitoring: for TP in 1988 and Chl-a in 1995. Since 2004, the lake has received an ‘A’ grade, indicating that it has had consistently high water quality since the alum treatment (Table 10-3).

Lake McCarrons


Figure 10-6: Lake McCarrons historical Secchi/TP/Chl-a comparison.

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199

5

199

6

199

7

199

8

199

9

200

0

200

1

200

2

200

3

200

4

200

5

200

6

200

7

200

8

200

9

201

0

201

1

201

2

201

3

To

tal P

ho

sph

oru

s an

d C

hlo

rop

hyl

l-a

con

cen

trat

ion

s (

µg

/L)

Sec

chi

Dep

th (

met

ers

)

Secchi TP Chl-a

Lake McCarrons


Table 10-2: Lake McCarrons historical yearly TP/Chl-a/Secchi depth averages compared to deep lake state standards.

YearTP

(µg/L)Chl-a(µg/L)

Secchi(m)

1988 81.0 16.4 1.1

1989 32.0 11.7 1.8

1990 49.0 14.8 2.7

1991 47.0 14.5 1.9

1992 25.0 7.2 2.7

1993 44.0 8.7 2.8

1994 37.0 9.7 3.1

1995 50.0 22.6 2.3

1996 37.0 10.6 2.7

1997 49.0 12.8 2.3

1998 29.0 16.3 2.1

1999 37.0 9.4 2.5

2000 38.0 17.3 2.2

2001 31.0 6.6 3.3

2002 46.0 16.3 2.1

2003 39.0 12.7 2.1

2004 47.0 10.4 2.9

2005 18.0 4.2 4.0

2006 14.7 3.5 4.0

2007 14.8 3.8 3.9

2008 12.0 2.3 4.7

2009 12.0 2.8 4.1

2010 16.0 3.3 4.0

2011 20.0 7.7 2.9

2012 17.5 3.7 3.2

2013 20.0 4.1 3.3



*MPCA deep lake standards are not to exceed 40 µg/L for TP and 14.0 µg/L for Chl-a, w ith a Secchi disk depth of at least 1.4 m.

Lake McCarrons


Table 10-3: Lake McCarrons historical lake grades.

1988 D B D C1989 C B C C+1990 C B B B1991 C B C C+1992 B A B B+1993 C A B B1994 C A A B+1995 C C B C+1996 C B B B1997 C B B B1998 B B C B1999 C A B B2000 C B B B2001 B A A A2002 C B C C+2003 C B C C+2004 C B B B2005 A A A A2006 A A A A2007 A A A A2008 A A A A2009 A A A A2010 A A A A2011 A A B A2012 A A A A2013 A A A A

YearSecchi Grade

TP Grade

Chl-a Grade

Overall Grade

Lake McCarrons



Lake McCarrons was sampled eight times in 2013 from May 6 to September 9. The phytoplankton population in Lake McCarrons was dominated by Euglenophyta in the month of May (Figure 10-9). This early spring bloom of phytoplankton was likely a result of high nutrient availability (as seen by a peak in TP concentration) and increased light availability (Heiskary and Markus, 2010; UWE, 2004). Cyanophyta peaked in June and was dominant for the remainder of the monitoring season. A significant drop in total phytoplankton concentration was observed between these two population blooms (Figure 10-7). This event corresponded to an increase in zooplankton during the same time period (Figure 10-8). Small populations of Chlorophyta were observed throughout the year and Cryptophyta appeared in small amounts at the end of May and the beginning of August. Aside from the peak concentrations occurring at the beginning of May (Euglenophyta) and middle of June (Cyanophyta), overall phytoplankton concentration generally stayed low (<1,000/mL) (Figure 10-7). The zooplankton population of Lake McCarrons was divided among populations of Cyclopoids, Calanoids, Nauplii, and Cladocerans for the entire monitoring season (Figure 10-10). Overall, the population peaked in mid-June and decreased throughout the remainder of the summer with the exception of a small peak at the end of August (Figure 10-8).

Lake McCarrons


Figure 10-7: Lake McCarrons 2013 total phytoplankton concentration and TP concentration.

Figure 10-8: Lake McCarrons 2013 total zooplankton density and Chl-a concentration.

0

5

10

15

20

25

30

35

0

1

2

3

4

5

6

7

May Jun Jul Aug Sep

To

tal P

ho

sph

oru

s C

on

cen

trat

ion

(µ

g/L

)

To

tal P

hyt

op

lan

kto

n C

on

cen

trat

ion

(1,

000/

mL

)

Month


TP

0

1

2

3

4

5

6

7

8

0

10

20

30

40

50

60

May Jun Jul Aug Sep

Ch

loro

ph

yll-

a C

on

cen

tra

tio

n (

µg

/L)

To

tal Z

oo

pla

nkt

on

Den

sit

y (1

,000

/m^

3)

Month


Chl-a

Lake McCarrons


Figure 10-9: Lake McCarrons 2013 phytoplankton relative abundance.

Figure 10-10: Lake McCarrons 2013 zooplankton relative abundance.

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

May Jun Jul Aug Sep

Ph

yto

pla

nkt

on

Rel

ativ

e A

bu

nd

ance

Month

Pyrrhophyta

Euglenophyta

Cyanophyta

Cryptophyta

Chrysophyta

Chlorophyta

Bacillariophyta

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

May Jun Jul Aug Sep

Zo

op

lan

kto

n R

elat

ive

Ab

un

dan

ce

Month

Cladocera

Rotifera

Nauplii

Calanoida

Cyclopoida

Lake McCarrons



10.5.1 BIOVOLUME ANALYSIS The biovolume heat map of Lake McCarrons shows that the majority of the aquatic vegetation in the lake occurs along the shallow areas near the shoreline (Figure 10-11). Aquatic plants are most abundant along the western end of the lake, where the red color indicates that 100% of the water column contains aquatic vegetation.

Figure 10-11: Lake McCarrons 2013 biovolume heat map. 10.5.2 POINT-INTERCEPT SURVEYS Eurasian watermilfoil was the most frequently occurring plant in Lake McCarrons in 2013 in both surveys, recorded at 84% of the locations where vegetation was observed in June, and 72% in July (Table 10-12). Coontail and filamentous algae were both observed at roughly 50% of the locations in both months. While there was a large diversity of plant species observed in Lake McCarrons by the middle of the summer, the majority of these occurred infrequently throughout the lake. Where vegetation was observed, the plants with the highest abundance rankings were Eurasian watermilfoil, coontail, filamentous algae, and Canada waterweed in June, and coontail, filamentous algae, and white water lily in July (Table 10-13). None of the species observed,

Lake McCarrons


however, were found in high abundance (with rankings ranging from 1.3 to 2.67) in the June and July surveys. Filamentous algae received below average abundance rankings in both June and July. Filamentous algae can become a nuisance species when in high abundance as it forms thick, green mats on the water surface that can impede lake activities. It is also indicative of excessive nutrients (especially phosphorus) entering a lake, which is common in urban lakes like Lake McCarrons (DNR, 2014c). As shown in Figures 10-12 and 10-13 below, the presence of Eurasian watermilfoil and curly-leaf pondweed were observed in Lake McCarrons in 2013, and have been observed surveys since 2005. Curly-leaf pondweed and Eurasian watermilfoil are both non-native, invasive species, causing problems by displacing other native plants and forming thick mats on the surface of a lake that disrupt boating and recreation (DNR, 2014b; DNR, 2005). In addition, when curly-leaf pondweed plants die back in mid-summer, the resulting increase in phosphorus from the decomposing plant material causes disruptive algal blooms (DNR, 2005). Eurasian watermilfoil spreads easily, as a new plant can grow from just a tiny piece of an original plant. It can easily float and grow quickly in other areas of a lake, as well as be transported between lakes on boat trailers and fishing gear (WSDE, 2014). While neither is especially abundant and the lake still has a robust composition of plants, the presence of these two species is still a management concern; especially since Eurasian watermilfoil is observed at the majority of locations where vegetation is found.

Lake McCarrons


Figure 10-12: Lake McCarrons 2013 percent occurrence of vegetation present.

0

20

40

60

80

100P

erc

ent

Occ

urr

ence

6/3/2013

7/23/2013

Lake McCarrons


Figure 10-13: Lake McCarrons 2013 average abundance ranking of vegetation present.


Previous stocking in Lake McCarrons has included black crappie, northern pike, and walleye, which has occurred intermittently (Table 10-4). The last survey of fish populations completed by the Minnesota DNR was in 2008, which showed a large variety of panfish (Table 10-5). Bluegill were present in very large numbers and were also the most abundant fish type in the lake. While only two common carp were caught in the survey, DNR staff observed hundreds spawning in the shallow areas of the lake during the June visit (DNR, 2014g). Staff also noted that largemouth bass were noted in larger abundance in the shallow areas than the survey (which found only two) indicates. The next fish population survey in Lake McCarrons is scheduled to be conducted by the Minnesota DNR during the summer of 2014.

0

1

2

3

4

5A

ve

rag

e A

bu

nd

ance

Ran

kin

g

6/3/2013

7/23/2013

Lake McCarrons


Table 10-4: Lake McCarrons historical record of fish stocking.

Table 10-5: Lake McCarrons 2008 fish populations.


Lake McCarrons has displayed significant improvements in water quality since the 2004 alum treatment to reduce TP levels in the lake. While the lake only exceeded the eutrophication parameter state standards twice in its monitored history, it only received average lake grades before the treatment. Since 2004, it has received an ‘A’ lake grade, indicating that it has had very good water quality in recent years. One general management concern is the extensive vegetation on the west end of the lake, which the District has been focused on addressing. Previous reporting on Lake McCarrons focused on an analysis of TP, Chl-a, and Secchi depth trends over the monitoring season and compared to past monitoring years. Conversely, this report contains more extensive information on lake history, lake morphometric data, lake level, additional water quality analysis (i.e., lake grading), phytoplankton and zooplankton populations, aquatic vegetation communities, and fish populations. For this year’s report, this information was solely reported upon, but not analyzed for trends or relationships between parameters. A more robust analysis will be done in future monitoring reports that examines the interactions between all parameters monitored in order to present a picture of the overall health of Lake McCarrons.

Black crappie Walleye

Adult Adult Yearling Fry

2009 80

2007 630

2005 124

2004 75,000

YearNorthern pike

0-5 6-8 9-11 12-14 15-19 20-24 25-29 30+

Black crappie 0 3 2 0 0 0 0 0 5

Bluegill 41 340 0 0 0 0 0 0 390

Common carp 0 0 0 0 0 0 2 0 2

Green sunfish 1 1 0 0 0 0 0 0 2

Hybrid sunfish 7 6 0 0 0 0 0 0 13

Largemouth bass 0 1 1 0 0 0 0 0 2

Northern pike 0 0 0 0 0 0 0 1 1


White sucker 0 0 0 1 0 0 0 0 1



Total

Lake McCarrons



11 CONCLUSIONS & RECOMMENDATIONS

11.1 CONCLUSIONS

In 2013, the water quality of the five District lakes (Como, Crosby, Little Crosby, Loeb, and McCarrons) varied by water body and by time of year. Some of the lakes improved in water quality, while other lakes degraded compared to historical averages. Based on the MPCA eutrophication numeric water quality standards, Little Crosby Lake, Loeb Lake, and Lake McCarrons met the MPCA standards for all parameters during the 2013 growing season. Crosby Lake met the MPCA shallow lake standards for Chl-a concentration and Secchi disk depth, but failed for TP concentration. Como Lake did not meet any of the MPCA shallow lake standards for TP concentration, Chl-a concentration, or Secchi disk depth during the 2013 growing season. Total phosphorus was an important driver for water quality in most of the District lakes. High phosphorus in lakes can cause overgrowth of algae (measured by Chl-a concentrations) and aquatic plants, which reduces water clarity. Phosphorus will continue to be a contaminant of concern in CRWD as inputs of fertilizers, leaves, grass clippings, pet/wildlife waste, and automobile emissions in this urban watershed are very prevalent and difficult to control. Water quality improvement projects upstream of lakes that reduce the amount of phosphorus runoff will continue to be a priority in the District. Chlorophyll-a was also a principal driver for water quality in some District lakes in 2013. Invasive species (both plant and animal) will continue to be a concern for future management, though they are not currently observed in alarming amounts in any CRWD lake. Curly-leaf pondweed was observed in all lakes, Eurasian watermilfoil was observed in Loeb Lake and Lake McCarrons, and common carp were observed in Lake McCarrons. Invasive species can cause harm to lakes through displacement of native species and disruption of the food chain, both of which can affect overall lake health. CRWD lakes are an important district resource, providing both economic (i.e.: recreational resources) and environmental (i.e.: flood attenuation) benefits. Understanding overall health of CRWD lakes in order to improve them for both kinds of benefits will be beneficial for the District and the region. Como Lake, Loeb Lake and Lake McCarrons are important community resources within the District as they are easily viewed and accessed by many people on a daily basis. Therefore, these lakes will continue to be a focal point for management. Como Lake has also exhibited a cyclical pattern in water quality for the monitored eutrophication parameters in past years, which will continue to be studied and analyzed in order to understand the lake’s water quality. Loeb Lake and Lake McCarrons have had historically good water quality, but will continue to be monitored in the future to identify annual changes and trends.


This report also contained additional information on biological data not previously reported upon in CRWD monitoring reports, including phytoplankton and zooplankton populations, aquatic vegetation communities, and fish populations. All of these parameters affect lake water quality and are important components in analyzing overall lake health. This report solely focused on reporting this new information, but not analyzing it. Future reports will contain more analysis of biological data, in conjunction with the chemical and physical data monitored.

11.2 RECOMMENDATIONS

11.2.1 ACCOMPLISHMENTS IN 2013

It is the goal of CRWD to continually improve the monitoring program with new ideas in order to advance the program in quality, efficiency, and usefulness. The monitoring program aims to collect and analyze high quality data from District lakes to better understand the water quality in individual lakes as well as how the watershed as a whole could be affecting lake water quality. Data collection and analysis through the monitoring program helps to further CRWD’s mission “to protect, manage and improve the water resources of the Capitol Region Watershed District.” In 2013, CRWD made progress towards the goals stated in the 2012 Monitoring Report for lake monitoring and reporting. These goals were:

1. Incorporate additional statistical analysis of lakes water quality data and long-term lake trends into 2013 lakes data analysis (completed in 2013 by Wenck Associates, Inc.).

2. Complete additional biological data assessment and analysis of CRWD lakes to determine causes of water quality changes and trends.

With respect to Goal 1, an analysis by CRWD was underway but was not completed in time to incorporate any statistical analysis into this 2013 report. However, the Wenck report demonstrated the District’s need for a more thorough understanding of missing pieces of data to make better assessments of lake health. It served as a catalyst to develop a work plan for the 2014 monitoring season (and future monitoring seasons) that expands and initiates additional lake monitoring. This additional monitoring is related to Goal 2: increasing monitoring and assessment of biological parameters of District lakes. Additional biological data supplements the chemical and physical parameters which have been included in previous CRWD monitoring reports. Biological data has been gathered in previous years, but due to incompleteness or inconsistencies, this data has not been analyzed or included in previous reporting. As a result of Goal 2, the 2013 report contains additional data that was not previously reported on, including lake elevation data, a lake grading system, phytoplankton and zooplankton community composition, aquatic vegetation type/occurrence/abundance, and fisheries surveys. The 2014 monitoring season will include and expand on these biological parameters.


11.2.2 RECOMMENDATIONS FOR 2014

For 2014, CRWD has several goals and recommendations that are aimed at improving the lake monitoring program. Goals for 2014 include:

1. Improve lake elevation monitoring:

CRWD will establish continuous level monitoring with level loggers in Como Lake, Crosby Lake, and Lake McCarrons. Como Lake and Lake McCarrons are currently monitored by the Minnesota DNR Lake Level Minnesota Monitoring Program, which collects level data bi-monthly (DNR, 2014i). Additional monitoring by CRWD will yield continuous level data during the monitoring season. Crosby Lake has not been historically monitored for lake level. By monitoring lake level on Crosby Lake, Mississippi River interactions with the lake can be better understood. Since Little Crosby Lake is so closely connected to Crosby Lake, it will not be monitored for lake level.

2. Analyze additional chemical and physical parameters:

Improve analysis of chemical and physical data previously collected but not fully analyzed in prior reports. Previous CRWD analyses have focused on certain water quality parameters (specifically TP, Chl-a, and Secchi disk depth). Analysis of other water chemistry and physical attributes will allow a better understanding of overall lake health and could potentially allow better prediction of the severity and timing of algal blooms, such as:

o Nitrogen: including Ammonia-Nitrogen (NH3-N), nitrate as nitrogen (NO3-N), and Total Kjehldahl Nitrogen (TKN). While the limiting factor for algal growth in CRWD lakes is most often phosphorus, other nutrients such as nitrogen could also be playing a role in temporal blooms.

o Chloride: It is a contaminant of concern in metro area lakes. Como Lake was listed on the draft 2014 303(d) Impaired Waters List for chloride (MPCA, 2014b), so this contaminant is becoming more of a management concern in CRWD lakes.

o Temperature profile: Temperatures at different depths within the water column

are currently measured by RCPW during their summer lake visits. Graphically creating temperature profiles of the lake throughout the monitoring season may also be helpful in explaining water quality trends.

o Hypolimnetic water quality: Reports have historically focused on the nutrient

concentration of the epilimnion (mixed surface layer) of lakes, since MPCA standards are based on this lake layer. Future reporting will examine hypolimnetic water quality data to determine possible internal phosphorus loading from in-lake sediments. This could help better determine, for example, impacts of flooding from the Mississippi River on Crosby and Little Crosby Lake water quality (CRWD, 2012a).


3. Extend monitoring season of all District Lakes:

CRWD plans to extend the lakes monitoring season into early spring and late fall. Additional monitoring can be beneficial in analyzing the water quality of the lakes. The season will be expanded for chemical/physical monitoring, aquatic vegetation monitoring, and phytoplankton and zooplankton monitoring, such as:

o Physical and chemical monitoring: Additional sampling dates in early spring and late fall will be added by RCPW on all CRWD lakes.

o Vegetation monitoring: An additional vegetation monitoring day or two will be added to next year’s monitoring schedule. Biovolume and point intercept vegetation surveys were only conducted twice in 2012 and 2013, in late spring and late summer, and only conducted sporadically on select lakes before 2012. By collecting data on aquatic vegetation, knowledge about type, location, and amount can be established. If changes in these factors are observed in future surveys of plant communities, it can be determined if there have been significant changes in water quality and how that could be affecting plant populations, and vice-versa.

o Phytoplankton and zooplankton monitoring: Early spring and late fall monitoring

will increase the time period in the year that CRWD can examine populations of phytoplankton and zooplankton. This can help explain relationships among different lake parameters.

4. Initiate fisheries surveys of all District Lakes:

CRWD will initiate fisheries surveying of all lakes at least once per year and examine potential effects of non-native, invasive fish populations to lake health.

o Fisheries surveys are conducted by Minnesota DNR staff, who survey most lakes in the state on a 5-10 year cycle. In future monitoring seasons, CRWD will survey fish populations annually during years the DNR will not be surveying the CRWD lakes.

o Common carp are an invasive fish that uproot vegetation and stir up bottom sediments, which releases phosphorus into the water column and decreases water clarity (DNR, 2014a). In the most recent fish surveys conducted on CRWD lakes, Lake McCarrons (2008) and Crosby Lake (2004) showed evidence of common carp populations. Although Little Crosby Lake was not independently surveyed for fish, chances are high that it does contain common carp, since it is connected hydrologically to Crosby Lake. No common carp were sampled in Como Lake during the 2011 survey, but common carp have been sampled historically. Due to habitat degradation caused by common carp in the lake, a deliberate rough fish kill using rotenone occurred in 1985 (Noonan, 1998), which eliminated common carp before restocking the lake with native fish. While populations of common


carp haven’t reestablished themselves in this lake, they could in the future. To become more aware of the impact carp can have, CRWD would like to begin working with other area watershed districts/management organizations to better understand management of carp populations and how the presence of carp has affected the water quality of lakes.

5. Install temperature monitoring equipment in Como Lake and Lake McCarrons:

CRWD will install temperature monitoring equipment in Como Lake and Lake McCarrons to determine effect of higher temperature runoff to lake temperature.

o Como Lake has a large number of stormwater sewers that discharge runoff from the surrounding residential neighborhoods into the lake. This runoff is at a higher temperature than the lake water. Increasing the temperature of a lake reduces the solubility of dissolved oxygen (Kalff, 2002), resulting in less oxygen available for use by aquatic organisms. Continuous monitoring can give CRWD a better idea of the diurnal and seasonal variations in temperature in the lake.

o The Villa Park Wetland Treatment System was installed in 1987 and improved in 2004 in the wetland areas northwest of Lake McCarrons. This system reduces the velocity of stormwater runoff to the lake and allows nutrients to settle out of the water and onto the bottom of the wetlands. This decreases the amount of nutrients flowing into Lake McCarrons. However, it also warms the water as it travels through this system, so that the Villa Park outflow to the lake is typically a higher temperature than the internal lake temperature.

6. Conduct sediment analyses of all District lakes

CRWD will conduct sediment analyses on all lakes during the winter of 2014-2015 to establish current understanding of internal sediment loading.

o Previous sediment analyses on CRWD lakes were only completed for two lakes for specific projects (i.e.: the 2004 Lake McCarrons alum project and the 2008 Crosby Lake sediment analysis).

o CRWD will consider additional sediment surveys in future years.

7. Complete a comparative analysis of all parameters measured:

CRWD will complete a comparative analysis of chemical, physical, and biological parameters to increase understanding of what these parameters are indicating about overall lake health.


o CRWD will work with limnologists or other lake experts to conduct thorough analyses of all data and their complex interactions to evaluate water quality and overall lake health.

o CRWD will expand comparisons of lakes to other similar metro-area lakes to see how the District’s lakes relate to those outside of CRWD.


12 REFERENCES Capitol Region Watershed District (CRWD), 2014. 2013 Stormwater Monitoring Report. Saint Paul, MN. Capitol Region Watershed District (CRWD), 2012a. Crosby Lake Management Plan. Saint Paul, MN. Capitol Region Watershed District (CRWD), 2012b. Stormwater BMP Performance Assessment and Cost-Benefit Analysis. Saint Paul, MN. Capitol Region Watershed District (CRWD), 2009. Loeb Lake and Willow Reserve Management Plan. Saint Paul, MN. Capitol Region Watershed District (CRWD), 2003. Lake McCarrons Management Plan. Saint Paul, MN. Capitol Region Watershed District (CRWD), 2002. Como Lake Strategic Management Plan. Saint Paul, MN. CI BioBase, (CIBB), 2014. Frequently Asked Questions. Contour Innovations. Accessed online from http://cibiobase.com/Home/FAQ Heiskary, S. and H. Markus. What’s that green stuff? Minnesota Conservation Volunteer. July/August, 2010. Saint Paul, MN. Accessed online from http://www.dnr.state.mn.us/volunteer/julaug10/algae.html Kalff, Jacob. 2002. Limnology. Upper Saddle River, NJ: Prentice Hall. Kennedy, R. H. and Cook, G.D., 1982. Control of Lake Phosphorus with Aluminum Sulfate: Dose Determiniation adn Application Techniques. Journal of the American Water Resouces Assocation, 18: 389-395. doi: 10.1111/j.1752-1688.1982.tb00005.x Metropolitan Council (MC), 2013. Annual Use Estimate of the Metropolitan Region Parks System for 2012. Saint Paul, MN. Accessed online from http://www.metrocouncil.org/getattachment/581b1b25-e04e-4566-b99b-ec3396a100fc/.aspx Metropolitan Council (MC), 2011. 2010 Study of the Water Quality of 185 Metropolitan Area Lakes. Saint Paul, MN. Accessed online from http://es.metc.state.mn.us/eims/related_documents/repository/13201231344.pdf Minneapolis Parks and Recreation Board (MPRB), 2011. Water Resources Report. Minneapolis, MN. Accessed online from http://www.minneapolisparks.org/documents/caring/2011ReportFinalLow.pdf


Minnehaha Creek Watershed District (MCWD), 2012. Hydrologic, Hydraulic and Water Quality Technical Report. Deephaven, MN. Accessed online from http://www.minnehahacreek.org/sites/minnehahacreek.org/files/pdfs/Data_Center/2012/2012_TechnicalReport.pdf Minnesota Climatology Working Group (MCWG), 2013. St. Paul Campus Climatological Observatory: 15-minute precipitation data. Saint Paul, MN. Accessed online from http://climate.umn.edu/doc/observatory.htm Minnesota Climatology Working Group (MCWG), 2014. Minneapolis/St. Paul Metro Snow Resources. Accessed online from http://climate.umn.edu/doc/twin_cities/twin_cities_snow.htm Minnesota Department of Natural Resources (DNR), 2014a. Common carp. Saint Paul, MN. Accessed online from http://www.dnr.state.mn.us/invasives/aquaticanimals/commoncarp/index.html Minnesota Department of Natural Resources (DNR), 2014b. Eurasian watermilfoil. Saint Paul, MN. Accessed online from http://www.dnr.state.mn.us/invasives/aquaticplants/milfoil/index.html Minnesota Department of Natural Resources (DNR), 2014c. Filamentous algae. Saint Paul, MN. Accessed online from http://dnr.state.mn.us/aquatic_plants/algae/filamentous_algae.html Minnesota Department of Natural Resources (DNR), 2014d. Fisheries Lake Surveys. Saint Paul, MN. Accessed online from http://www.dnr.state.mn.us/lakefind/surveys.html Minnesota Department of Natural Resources (DNR), 2014e. Fishing in the Neighborhood. Saint Paul, MN. Accessed online from http://www.dnr.state.mn.us/fishing/fin/moreinfo.html Minnesota Department of Natural Resources (DNR), 2014f. A Guide to Aquatic Plants. Saint Paul, MN. Accessed online from http://dnr.state.mn.us/shorelandmgmt/apg/index.html Minnesota Department of Natural Resources (DNR), 2014g. Lake Finder. Saint Paul, MN. Accessed online from http://www.dnr.state.mn.us/lakefind/index.html Minnesota Department of Natural Resources (DNR), 2014h. 2013 Lake Ice Out Dates. Accessed on-line from http://www.dnr.state.mn.us/ice_out/index.html?year=2013. Minnesota Department of Natural Resources (DNR), 2014i. Lake Level Minnesota. Saint Paul, MN. Accessed online from http://www.dnr.state.mn.us/climate/waterlevels/lakes/index.html Minnesota Department of Natural Resources (DNR), 2014j. Median Lake Ice Out Dates. Accessed on-line from http://www.dnr.state.mn.us/ice_out/index.html?year=median


Minnesota Department of Natural Resources (DNR), 2005. Invasive, non-native species – Curly-leaf pondweed. Saint Paul, MN. Accessed online from http://files.dnr.state.mn.us/natural_resources/invasives/aquaticplants/curlyleafpondweed/curlyleaf_factsheet.pdf Minnesota Pollution Control Agency (MPCA), 2014a. Guidance Manual for Assessing the Quality of Minnesota Surface Waters for Determination of Impairment: 305(b) Report and 303(d) List. Saint Paul, MN. Accessed online from http://www.pca.state.mn.us/index.php/view-document.html?gid=16988. Minnesota Pollution Control Agency (MPCA), 2014b. Impaired Waters List – The Draft 2014 Impaired Waters List. Saint Paul, MN. Accessed online from http://www.pca.state.mn.us/index.php/water/water-types-and-programs/minnesotas-impaired-waters-and-tmdls/impaired-waters-list.html Minnesota Pollution Control Agency (MPCA), 2012. Final TMDL list of impaired waters. Saint Paul, MN. Accessed online from http://www.pca.state.mn.us/index.php/view-document.html?gid=8281. National Weather Service (NWS), 2014a. Local Climate Records. Chanhassen, MN. Accessed online from http://www.crh.noaa.gov/mpx/Climate/MSPClimate.php National Weather Service (NWS), 2014b. Twin Cities Snowfall Records. Chanhassen, MN. Accessed online from http://www.crh.noaa.gov/mpx/?n=mspsnowfall National Weather Service (NWS), 2011. New 1981-2010 Climate Normals. Accessed on-line from http://www.crh.noaa.gov/mpx/?n=mpxclimatenormals Noonan, T.A., 1998. Como Lake, Minnesota: The Long-Term Response of a Shallow Urban Lake to Biomanipulation. Journal of Lake and Reservoir Management. 14(1):92-109. Osgood, R.A., 1989. An Evaluation of Lake and Stream Monitoring Programs in the Twin Cities Metropolitan Area. Metropolitan Council Publ. 590-89-128. Ramsey County Public Works (RCPW), 2012. Quality Assurance and Procedures Manual for the Ramsey County Lake Management Laboratory. Arden Hills, MN. Ramsey County Public Works (RCPW), 2009. Ramsey County Lake Management Program 2009 Lake Sampling Protocal. Arden Hills, MN. Scherek, J. and G. Yakal. (1993). Guidelines for Ordinary High Water Level (OHWL) Determinations. Saint Paul, MN. (Technical Paper 11, Minnesota Department of Natural Resources, Waters). University of California Museum of Paleontology (UCMP), 2014. Taxon Lift. Berkeley, CA. Accessed online from: http://www.ucmp.berkeley.edu/help/taxaform.html


University of Wisconsin Extension (UWE), 2004. Understanding Lake Data. Madison, WI. University of Wisconsin Extension Publication G3582. Accessed online from http://www3.uwsp.edu/cnr-ap/weal/Documents/G3582.pdf Washington State Department of Ecology (WSDE), 2014. Non-native Invasive Freshwater Plants: Eurasian Watermilfoil. Olympia, WA. Accessed online from http://www.ecy.wa.gov/programs/wq/plants/weeds/milfoil.html


APPENDIX A: 2013 WENCK ASSOCIATES, INC. TECHNICAL MEMORANDUM

W:\07 Programs\Monitoring & Data Acquisition\Lakes\2013 Lakes Analysis ‐ Wenck\Technical Memo\Technical Memo FINAL\Lake Trend Assessment Technical Memo FINAL.docx

TECHNICAL MEMORANDUM TO: Anna Eleria, Capitol Region Watershed District FROM: Joe Bischoff, Wenck Associates, Inc. DATE: September 18, 2013 SUBJECT: Statistical Analysis of Lake Data in the Capitol Region Watershed District

Purpose The purpose of this technical memorandum is to present results from a statistical analysis of lake data in the Capitol Region Watershed District. The intent of the statistical analysis is to answer the following questions:

Can the water quality of CRWD lakes be described as generally getting better or worse than was

recorded in the past?

What trends in water quality exist? Can these trends be verified through statistical methods?

What factors are driving the trends in water quality among the different lakes?

What qualitative statements can be made regarding the causes and effects in the observed

water quality trends?

To answer these questions, Wenck employed a number of statistical analyses including trend analysis, hypothesis testing, and general descriptive statistics. Results of the analyses for each lake are presented below. Approach CRWD provided Wenck with water quality and biological data for the four lakes to be assessed (Table 1). After review, the project team decided to focus on the water quality parameters (TP, chlorphyll-a, and Secchi) first, and use the biological data where possible to provide context for the water quality data. Fairly long records of phytoplankton and zooplankton data are available for Como, Crosby, and McCarron Lake.

Wenck Associates, Inc. 1800 Pioneer Creek Center P.O. Box 249 Maple Plain, MN 55359‐0249 800‐472‐2232 (763) 479‐4200 Fax (763) 479‐4242 [email protected] www.wenck.com

Technical Memo Statistical Analysis of Lake Data in the Capitol Region Watershed District Capitol Region Watershed District September 18, 2013

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Table 1. Available data for the lake statistical analyses.

To evaluate trends in lake water quality, Wenck employed a series of statistical tests for the period of record. Wenck conducted the following steps in the statistical analysis of the lake data:

1. Evaluate the normality of the data including the residuals and log‐transformed data and

residuals. Levene’s test was used to assess equal variance among the years and the Shapiro‐

Wilks test was used to test for normality of the entire data set as well as each year. These tests

are critical to ensure statistical test assumptions are not violated. Analyses can be conducted on

the data, residuals, log‐transformed data, or log‐transformed residuals.

2. Run pairwise comparisons among the years using either ANOVA (parametric test if assumptions

are met) or Kruskall‐Wallace (non‐parametric test if assumptions are not met) tests to assess

difference among the years. Post‐hoc testing was completed using the Bonferonni test at a 0.1

significance level.

3. Visually plot data sets using time series and box plots to identify potential trends, seasonality, or

other exogenous factors that may be influencing the data set.

4. Evaluate potential exogenous variables for their influence on the data set. An exogenous

variable is an outside variable that may demonstrate trends that will influence the analysis

variable. For example, lake water quality data may be influenced by precipitation patterns

causing the analyst to interpret precipitation trends as water quality trends.

5. Monthly plots to evaluate the potential for seasonality in the data set.

6. Autocorrelograms to determine the level of autocorrelation in the data set. Autocorrelograms

lag the data sets to evaluate correlation between sequentially collected samples. So, at lag 1,

two sequentially collected samples are compared for correlation. At lag 2, the first and third

samples in a series are compared for correlation and so on.

Data Description Como Crosby Loeb McCarrons Little Crosby

Aquatic vegetation and species survey 2012 2012 2012 2012

Como Lake Turtle Study 2011

Crosby Lake Sediment Data 2010

Daphnia Size 1984‐2007 1999‐2007 2003‐2007 1988‐2007

DNR Fisheries‐Lake Management Plan 2005 2010

Lake Elevations 1978‐2012 2003‐2004, 2006‐2012 1924‐2012

Lake Sampling Data 1982, 1984‐2012 1999‐2012 2003‐2012 1988‐2012 2011‐2012

Macrophyte Surveys 2005, 2010 2009 2005 2005

Phytoplankton Data 1984‐2011 1999‐2011 2003‐2011 1988‐1998, 2000‐2011

Zooplankton Data 1984‐2011 1999‐2011 2003‐2011 1988‐1998, 2000‐2011


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7. Trend analysis for the data set corrected for autocorrelation and seasonality of necessary. The

Mann Kendall‐Tau test was used in most cases which performs the trend assessment on the

ranks of the data sets.

8. A multivariate analysis of lake Trophic Status Index to evaluate drivers of lake water quality.

Data Description The first step is to describe the data set focusing on the assumptions for each potential statistical test. For example, most parametric statistical hypothesis tests such as ANOVA require the data have a normal distribution and equal variances among groups. In the case where this is not true, alternative nonparametric hypothesis tests such as the Kruskall-Wallace test can to be used. Because parametric testing is more powerful in determining differences among groups or trends, it is worthwhile to check the data and residuals as well as the log transformed data and residuals for the assumptions of equal variance and normality. Data Visualization The second step is to visualize the data set to develop a general understanding of potential trends in the data set or other factors that may be causing trends in the data set. Many potential trends can be recognized using data visualization techniques such as notched box plots, histograms, scatter plots and other plots of the data or residuals of the data. Once any trends are identified at this level, they can be further evaluated using the appropriately selected statistical test. Wenck developed notched box plots by year and month to evaluate trends and statistical differences among the years. The notches in the box plots represent the 95% confidence internal around the mean, so when the notches overlap, there is no statistical difference in the means of the individual data sets. If they do not overlap, the means are likely statistically different. Trend Assessment To evaluate trends, Wenck first evaluated the necessary statistical assumptions for using trend analysis including normality of the data set and equal variance over time. In almost all cases, the data sets were determined to be non-normal. The Mann-Kendall Tau test for trends is nonparametric and is therefore appropriate where the data are non-normal although it still requires equal variance over time. The Mann-Kendall Tau test can also be adjusted for serial autocorrelation, the condition where a previous sample in time is correlated to the current sample, and seasonality.


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Differences Among Years The data set was also evaluated for differences among the years to identify groups of years that may be similar. The groupings can then be evaluated for similar conditions such as rainfall or fish abundance to evaluate potential causes. For this analysis, the grouping was completed; however a detailed review of other factors was outside the scope of this assessment. Multivariate Assessment using the Lake Trophic Status Index The interrelationship between simultaneously collected variables can be used to identify conditions in a lake that affect those measured variables. One way this can be done is by evaluating the differences among TSI values for each of the three collected variables (Carlson 1992). Theoretically, the empirical relationships between TP, chlorophyll-a, and Secchi should result in the same TSI value. Because these empirical relationships are derived from regressions that have error terms, some variability can be expected. However, in some situations the differences are not random and can be used to identify factors interfering with the relationship. The figure below represents a plot of the TSI differences with 4 primary zones for interpretation. Table 2 provides some interpretation of the data in each zone. If points fall below the x axis, chlorophyll-a is under predicted suggesting that P is not limiting algal growth, rather algal growth is limited by light availability, nitrogen limitation or zooplankton grazing. Points lying to the right of the y axis indicate better clarity than expected which may be a result of larger algae such as aphanizomenon, a colony forming blue-green algae. Points to the left of the y-axis suggest smaller particles dominate suggesting water color or turbidity is a critical factor. Points lying along the diagonal and to the left of the axis suggest that P and clarity are correlated, but the expected chlorophyll response is not demonstrated. This suggest non-algal turbidity such as clay is controlling water clarity and keeping the P unavailable for algal production.


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Carlson and Simpson 1996. Following is a discussion of the results of the statistical analysis for each lake. LAKE MCCARRON Descriptive Statistics Total phosphorus, chlorophyll‐a and Secchi depth were assessed for basic statistical assumptions such as normality, equal variance, and central tendencies (Table 2). None of the data sets as a whole are normal or lognormal, although Secchi depth demonstrates a lognormal distribution in all but one year.


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Table 2. General statistical description of Lake McCarrons water quality data.

Statistic TP (mg/L) Chl-a (µg/L) Secchi (m)

No. of observations 177 177 177Minimum 0.009 0.317 0.700Maximum 0.175 74.800 8.4001st Quartile 0.016 2.780 1.700Median 0.026 6.500 2.7503rd Quartile 0.039 13.370 4.000Mean 0.031 9.760 2.952Variance (n-1) 0.001 107.056 2.199Standard deviation (n-1) 0.025 10.347 1.483Skewness (Pearson) 3.258 2.856 0.697Kurtosis (Pearson) 14.539 12.298 0.206Standard error of the mean 0.002 0.787 0.114Geometric mean 0.026 6.197 2.580Geometric standard deviation 1.862 2.686 1.715

Summer average phosphorus, chlorophyll‐a and Secchi depth were plotted for Lake McCarrons (Figure 1). Both TP and chlorophyll‐a demonstrate a decreasing trend in concentration with Secchi depth demonstrating an increasing trend in water clarity. It is important to note that an alum treatment was performed on the lake in 2004 which essentially breaks the data set into two distinct periods: pre‐ and post‐alum application. Long term notched box plots demonstrate an improving trend in water quality (Figure 2). Pre‐alum variability was quite high with extreme values in TP and chlorophyll‐a. After the alum treatment the spread of the data decreased significantly for chlorophyll‐a and TP. It is also interesting to note that the lake appears to have taken a few years after the alum treatment to reach the maximum effectiveness (2007‐2010). The most recent two years demonstrate a broader spread in the data suggesting that the effectiveness of the alum treatment may be weakening. Annual Pairwise Comparisons Data and residuals, including log transformations, for Lake McCarrons was evaluated to test for normality and equal variance among the sample years (Table 3). To use parametric testing such as an ANOVA to test for differences among years, the test groups must be normally distributed and have equal variance. Although some of the Secchi depth data was normally distributed or had equal variances among years, none occurred in the same grouping. Therefore, the nonparametric Kruskall‐Wallace test was selected with a Bonferonni post‐hoc pairwise comparison.


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Table 3. Evaluation results for tests of normality and equal variance among groups.

1Levene’s test 2Shapiro‐Wilks test The Kruskall‐Wallace and Bonferonni tests demonstrated significant differences among the years for all three parameters (Attachment 1). A total of 81 pairs were significantly different than one another for TP. Most of the years prior to the alum treatment were significantly higher in TP than those years after the treatment except for 1989, 1992, 1994, and 1998 with 2008 and 2009 significantly lower than all the other years. Only 27 pairs of years were significantly different than one another for chlorophyll‐a. The most recent two years are statistically similar than almost all the other years, although based on visual inspection (Figure 2) the spread of the data is tighter in more recent years. The fact that the most recent years of chlorophyll‐a data are similar to most years suggests that other factors may be affecting mean algal abundance or that the effectiveness of the alum treatment is diminishing. Overall, the post‐alum treatment chlorophyll‐a abundance is significantly lower. However, the reduced phosphorus concentrations appear to have reduced significant algal blooms (decreased spread in the data). Only 2008, when Secchi depth was at its highest, demonstrated a significant difference than most of the pre‐alum treatment period. This is slightly surprising given the significant reductions in chlorophyll‐a and total phosphorus. Other factors are likely controlling Secchi depth at these lower chlorophyll‐a concentrations and 2008 likely presents the best achievable Secchi depth when addressing only phosphorus and chlorophyll‐a. Trend Assessment Based on the visual assessment of water quality data in Lake McCarrons it is clear that there are two distinct periods to evaluate trends including the pre‐ and post‐alum treatment periods. An assessment of trends needs to focus on these two periods. Exogenous Variables

Parameter Data Logs of Data Residuals1 Residuals of Logs1

Equal Variance?1

Normally Distributed?2

Equal Variance?

Normally Distributed?

Equal Variance?


Equal Variance?


Total Phosphorus

No No Yes No No No Yes No

Chlorophyll-a

No No Yes No No No Yes No

Secchi Depth

Yes No No Yes Yes No No Yes


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Before evaluating trends in a lake data set, exogenous variables that may be causing a pattern in the data must be evaluated and removed if present. An exogenous variable is a variable other than time that may have considerable influence on the response variable. These variables are usually natural such as rainfall, temperature or stream flow. For lakes, especially those with long residence times such as Lake McCarron, the most common potential exogenous variable is rainfall. To test for rainfall as a factor, monthly total precipitation was regressed against monthly average TP concentrations for the period of record (Figure 3). No relationship between TP and monthly precipitation totals was found for the data or the logs of the data. Consequently, it was concluded that rainfall totals does not need to be accounted for in the trend analysis. Seasonality and Autocorrelation Two other factors that need to be accounted for in any trend analysis including serial autocorrelation and seasonality. Seasonality is important in lakes since they demonstrate a clear growing season along with a dormant season. However, most of the monitoring data were collected during the growing season meaning that years to year comparisons are not likely to include much seasonality in the data. Monthly notched box plots confirm this assumption (Figure 4). Only Secchi depth for one month (August) demonstrated a significant difference among the months. Based on this assessment, using the seasonally adjusted Kendall Tau trend test is not necessary. Lake data tend to be serially autocorrelated due to long residence times. To evaluate serial autocorrelation, correlograms were developed for each of the three parameters (Figure 5). Autocorrelograms evaluate autocorrelation using time lags in the data. For our analysis, we chose a lag period of 12 to account for annual data. Typical sampling in Lake McCarrons was 7 samples over the summer growing season. However, a lag period of 12 allows for evaluation of autocorrelation within a sampling year and between years. All three parameters demonstrated autocorrelation within any given year but not between years. Consequently, autocorrelation must be accounted for in the trend analysis. Trend Assessment Because a major event (alum treatment) occurred in Lake McCarron, the trend assessment must account for both the pre‐ and post‐alum conditions. Total phosphorus conditions before and after the alum treatment were statistically different (Figure 6). No trends were detected in either the pre‐ or post‐alum treatment data sets using the Mann‐Kendall trend test with a significance value of 0.05. Trends tests on the overall data set do demonstrate an improving trend in water quality although this is solely a result of the alum treatment conducted in 2004. Multi‐Variate Assessment


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The multivariate TSI comparison for Lake McCarrons did not present a great deal of information about the lake (Figure 7). Essentially, Lake McCarrons appears to be a typically P limited lake. Much of the data do fall right of the y‐axis suggesting that larger particles such as Aphanizomenon dominate water clarity. This is further corroborated by the lack of significant improvements in water clarity after the alum treatment where algae were reduced but the water clarity was already relatively good. Potential Divers of Water Quality Lake McCarrons Conclusions

1. Water quality in Lake McCarrons after the alum treatment was statistically better than the pre‐

alum water quality for all three parameters. Water quality appears to have peaked in 2008

through 2010 and may be trending poorer in the past two years. However, it is impossible to

tell if this is just annual variability and visual observations of the data suggest that the alum

treatment is still effective.

2. Prior to the alum treatment, peak total phosphorus concentrations were typically observed in

the spring (April‐May) samples suggesting high runoff loads during these periods.

3. No statistical trends were detected in water quality data for either pre‐ or post‐alum conditions

in Lake McCarrons. However, recent spread in total phosphorus and Secchi depth data suggest

that water quality may be changing and the alum treatment effectiveness may be weakening.

However, other data such as sediment cores are needed to evaluate current sediment release.

4. Other than 2008 and 2009, mean chlorophyll‐a data after the alum treatment was statistically

similar to many of the pre‐treatment years suggesting there was not a great overall reduction in

algal abundance in the lake. However, mean algal abundance has been reduced and it does

appear to have eliminated significant algae blooms in the lake.

5. Water clarity overall did increase significantly after the alum treatment. However, year to year

comparisons suggest that the clarity is not significantly different than many of the previous

years. It is important to note that the year to year tests have less statistical power due to the

lower sample size in each given year. So, water clarity was improved for much of the year, but

some years still may demonstrate water clarity similar to past years even though overall algal

abundance is lower. 2008 is likely the best achievable Secchi depth by controlling phosphorus

alone.

6. Based on the multi‐variate assessment of the Trophic Status Index, Lake McCarrons appears to

be a typical P‐limited lake where larger particles dominate and zooplankton grazing likely plays a

factor is algal abundance.


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Como Lake Descriptive Statistics Total phosphorus, chlorophyll‐a and Secchi depth were assessed for basic statistical assumptions such as normality, equal variance, and central tendencies (Table 4). Chlorophyll‐a had a wide range of values resulting a large standard deviation. Table 4. General statistical description of Lake McCarrons water quality data.

Statistic TP (mg/L) Chl-a (ug/L) Secchi (m)

No. of observations 307 307 307Minimum 0.031 0.1 0.20Maximum 0.970 223.3 4.201st Quartile 0.089 6.8 0.70Median 0.129 20.1 1.203rd Quartile 0.228 49.4 2.20Mean 0.182 32.8 1.58Variance (n-1) 0.023 1261.7 1.09Standard deviation (n-1) 0.150 35.5 1.05Skewness (Pearson) 2.358 1.9 0.86Kurtosis (Pearson) 6.879 4.8 -0.31Standard error of the mean 0.009 2.1 0.06Geometric mean 0.142 16.5 1.26Geometric standard deviation 1.974 3.9 2.00

A visual review of the summer average total phosphorus concentrations for Como Lake suggest a somewhat cyclical patter of several years of high phosphorus concentrations followed by a few years of lower concentrations (Figure 8 and Figure 9). Both response variables follow similar patterns. The patterns may reflect cyclical life cycles of fish, particularly panfish, which can follow boom‐bust patterns. The fishery may ultimately affect zooplankton grazing and chlorophyll‐a abundance. Although there appears to be a cyclical pattern, there is no apparent trend in the data or major shift at any point in time. Annual Pairwise Comparisons Data and residuals, including log transformations, for Como Lake were evaluated to test for normality and equal variance among the sample years (Table 5). To use parametric testing such as an ANOVA to test for differences among years, the test groups must be normally distributed and have equal variance.


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No of the groups followed these assumptions. Therefore, the nonparametric Kruskall‐Wallace test was selected with a Bonferonni post‐hoc pairwise comparison. Table 5. Evaluation results for tests of normality and equal variance among groups.

1Levene’s test 2Shapiro‐Wilks test Pairwise comparisons for Como Lake TP suggest that there are not many significant differences from year to year since only 22 pairs demonstrated statistically significant differences and where most differences were between extreme years. These results suggest that although there appears to be differences in the spread of the data among years, average conditions are not significantly different. Both chlorophyll‐a and Secchi follow a similar cyclical pattern, however they demonstrate more difference among pairs, especially Secchi depth (Figure 9). The fact that more differences were not picked up in chlorophyll‐a is likely a result of the high variances in many of the years. For Secchi, there were 70 statistically different pairs. The greater number differences among years for water clarity suggest that water clarity is controlled by multiple factors and not just TP and chlorophyll‐a abundance. Further exploration of the cyclical patterns in the lake data may reveal other factors affecting water clarity such as changes in the fish community, patterns of vegetation change, and potential climatic patterns. Trend Assessment Exogenous Variables Precipitation was evaluated as a potential factor affecting water quality trends in Como Lake (Figure 10). No relationship was found between monthly TP concentrations and monthly precipitation totals. Seasonality and Autocorrelation Box plots of monthly data suggest some seasonality in the data collected for Como Lake (Figure 11). It is important to note that the majority of the data were collected in the summer months. Because so few


Equal Variance?1


Equal Variance?


Equal Variance?


Equal Variance?


Total Phosphorus

No No No No No No No No

Chlorophyll-a


Secchi Depth



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of the data are collected outside of the summer months, seasonality in the trend assessment can be ignored. The data do present autocorrelation, especially in those data collected in that same year (Figure 12). Data collected between years do not appear to be autocorrelated which is expected since the residence time of Como Lake is likely relatively short. Serial autocorrelation was accounted for in the trend assessment. Trend Assessment Total phosphorus in Como Lake did demonstrate a significant decreasing trend, although it was not significant if seasonality is included. Based on the relatively small data set outside of the summer season, the non‐seasonally adjusted test is acceptable. A trend test on the summer average TP did not result in a significant trend in the data. Neither chlorophyll‐a or Secchi depth resulted in a significant trend. Multi‐Variate Assessment The multivariate assessment resulted in a number insights about Como Lake including:

1. phosphorus is not limiting algal growth, and that a phosphorus surplus may exist in the lake

2. Zooplankton grazing plays a large role in controlling water clarity in Como Lake. This is similar to

conclusions by Noonan (1998) who determined cyclical patters in lake water quality are a result

of complex interactions between submerged aquatic vegetation, zooplankton grazing, nutrient

cycling and fish abundance.

3. Vegetation in Como Lake is currently sparse (CRWD 2012) correlating to lower daphnia

abundance (Figure 14) and poorer water quality.

Potential Drivers of Water Quality Como Lake Conclusions

1. Cyclical patterns in water quality suggest that outside factors that follow cyclical patterns may

be affecting water quality in Como Lake. Noonan (1998) concluded that although “bottom‐up”

nutrient controls play a factor in Como Lake, other factors such as plant abundance, fisheries,

and zooplankton abundance are also critical in controlling water quality.

2. Secchi depth demonstrated many more statistically different years than either chlorophyll‐a or

TP, suggesting that other factors may be affecting water clarity. Some potential factors include

wind resuspension of sediment, changes in zooplankton abundance, TSS inflow, or rough fish

activity.


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3. A statistically significant decreasing trend in TP was detected in Como Lake, although a trend

test on the summer average data was not significant. However, statistical differences among the

years in TP did not pick up significant patterns, confounding the results. It appears that TP is

possibly decreasing in Como Lake, but more data will improve the prediction.

4. Based on the data, management of water quality in Como Lake should focus on the submerged

aquatic vegetation community as well as nutrient reductions. Fish abundance is also an

important factor.

Crosby Lake Total phosphorus, chlorophyll‐a and Secchi depth were assessed for basic statistical assumptions such as normality, equal variance, and central tendencies (Table 6). None of the parameters were normally or log‐normally distributed. Table 6. General statistical description of Lake McCarrons water quality data.

Statistic TP (mg/L) Chl-a (µg/L) Secchi (m)

No. of observations 87 87 87Minimum 0.010 0.2 0.50Maximum 0.330 47.0 4.90Range 0.320 46.8 4.401st Quartile 0.032 2.8 1.63Median 0.051 4.7 2.003rd Quartile 0.091 8.8 2.88Mean 0.066 8.0 2.26Variance (n-1) 0.002 75.6 0.85Standard deviation (n-1) 0.050 8.7 0.92Skewness (Pearson) 2.415 2.2 0.55Kurtosis (Pearson) 8.414 5.0 -0.23Standard error of the mean 0.005 0.9 0.10Geometric mean 0.053 5.1 2.07Geometric standard deviation 1.895 2.6 1.55

Plots of the summer mean water quality for Crosby Lake show a decrease in water quality over the past five years with increasing TP and chlorophyll‐a concentrations and decreasing water clarity (Figure 15). It is important to note that although chlorophyll‐a demonstrates an increase over the past 8 years, the concentrations still remain below the state standard of 20 µg/L as a summer average. Secchi disk transparency has decreased over the years but still remains greater than the state standard of greater than 1 meter.


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Notched box plots for water quality suggest that water quality may be degrading with the most recent period showing greater extremes and spread in the data especially for TP and chlorophyll‐a (Figure 16). TP demonstrated statistically significant increases in the past three years. Annual Pairwise Comparisons Data and residuals, including log transformations, for Crosby Lake were evaluated to test for normality and equal variance among the sample years (Table 7). To use parametric testing such as an ANOVA to test for differences among years, the test groups must be normally distributed and have equal variance. None of the parameters had normal distributions or equal variance among the groups. Therefore, the nonparametric Kruskall‐Wallace test was selected with a Bonferonni post‐hoc pairwise comparison. Table 7. Evaluation results for tests of normality and equal variance among groups.

1Levene’s test 2Shapiro‐Wilks test Pairwise comparisons for TP show the last three years being statistically higher than most other years 2001, 2002, 2005 and 2006. So, although the last three years are higher, these TP levels in the lake are not unprecedented. Chlorophyll‐a doesn’t follow the same patter as TP with 2012 statistically similar to all other years and only 2010 and 2011 being statistically higher than the lowest of the previous years. Secchi depth follows chlorophyll‐a patterns suggesting that algal abundance is likely the primary driver for water clarity in Crosby Lake. Trend Assessment Exogenous Variables Precipitation was evaluated as a potential factor affecting water quality trends in Crosby Lake (Figure 17). No relationship was found between monthly TP concentrations and monthly precipitation totals. Seasonality and Autocorrelation The majority of data collected for Crosby Lake were collected in the summer months which did not demonstrate statistical differences for TP or chlorophyll‐a but did have some differences for Secchi


Equal Variance?1


Equal Variance?


Equal Variance?


Equal Variance?


Total Phosphorus


Chlorophyll-a


Secchi Depth



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(Figure 18). Because the three parameters are related, a non‐seasonally adjusted Kendall Tau is appropriate, but both should be evaluated for Secchi. Crosby Lake demonstrated serial autocorrelation in any given year’s data set, but not between years (Figure 19). Consequently, serial autocorrelation needs to be accounted for in the trend assessment. Trend Assessment A Mann‐Kendall Tau test was positive for all three parameters with increasing trends in both TP and chlorophyll‐a and a seasonally adjusted decreasing trend in Secchi depth. The trend was also significant for the annual average data for all three parameters. Crosby Lake is trending toward poorer water quality. One factor that may be affecting water quality for Crosby Lake is interaction with the Mississippi River. Table 8 shows the number of days by year that the Mississippi River was at an elevation that would discharge to Crosby Lake (Elev. 697 feet). Although the Mississippi River interacts with Crosby Lake periodically over the past 15 years, the lake has received inputs from the River for the past 4 years with the Lake being flooded for 103 days in 2011. Similarly, in 2001 and the following year, water quality was poor following 63 days of inundation by the River. It appears likely that inundation from the Mississippi River is a significant factor affecting water quality in Crosby Lake. Table 8. Annual days the Mississippi River is at an elevation that interacts with Crosby Lake (Wenck 2012).

Year Number of Days Mississippi River Interacts with Crosby Lake

1999 14

2000 0

2001 63

2002 0

2003 0

2004 0

2005 0

2006 19

2007 0

2008 0

2009 15

2010 36

2011 103

2012 10


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Multi‐Variate Assessment The multivariate TSI approach suggests that Crosby Lake is not typically limited by P, but may be limited by other factors such as light or P‐availability (Figure 20). The graph suggests that not all of the TP in the water column is available for algal production and may be adhered to small particles such as clay or other TSS components. TP may be increasing in the lake, but it does not appear to all be readily available for algal production. Because there is a P surplus, other factors need to be considered in managing Crosby Lake including fisheries and submerged aquatic vegetation abundance. Potential Divers of Water Quality Crosby Lake Conclusions

1. Water quality in Crosby Lake’s three most recent years demonstrates an increase in total

phosphorus and a decrease in water clarity. Algal abundance is high in 2010 and 2011, although

water quality in 2012 was typical of previous years even though TP was higher. This suggests

that water quality in Crosby Lake is degrading but that algal abundance is not necessarily

controlled directly by TP (some fraction of phosphorus may be unavailable or zooplankton

grazing may play a role).

2. Water clarity appears to be primarily driven by algal abundance.

3. Statistical trend testing verifies that water quality in Crosby Lake is trending poorer with

increases in total phosphorus and chlorophyll‐a and decreases in water clarity. However, this

may be a function of inundation by the Mississippi River which occurred for 164 days over the

past 4 years.

Loeb Lake Total phosphorus, chlorophyll‐a and Secchi depth were assessed for basic statistical assumptions such as normality, equal variance, and central tendencies (Table 9). Secchi depth is normally distributed for Loeb Lake. TP and chlorophyll‐a were not normally or log‐normally distributed. Variance for all three parameters was low.


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Table 9. General statistical description of Lake McCarrons water quality data.

Statistic TP (mg/L) Chl-a (ug/L) Secchi (m) No. of observations 70 70 70 Minimum 0.012 1.1 1.90 Maximum 0.093 21.8 4.60 Range 0.081 20.7 2.70 1st Quartile 0.017 2.4 2.80 Median 0.022 3.4 3.35 3rd Quartile 0.027 6.3 3.80 Mean 0.024 4.5 3.29 Variance (n-1) 0.000 10.5 0.45 Standard deviation (n-1) 0.012 3.2 0.67 Skewness (Pearson) 3.166 2.5 -0.25 Kurtosis (Pearson) 14.803 10.1 -0.75 Standard error of the mean 0.001 0.4 0.08 Geometric mean 0.022 3.7 3.22 Geometric standard deviation 1.459 1.9 1.24

Loeb Lake does not demonstrate much variability in water quality between years (Figure 21 and 22). 2003 appears to have the worst water in the data record although the lake still met state water quality standards. Annual Pairwise Comparisons Data and residuals, including log transformations, for Loeb Lake was evaluated to test for normality and equal variance among the sample years (Table 8). To use parametric testing such as an ANOVA to test for differences among years, the test groups must be normally distributed and have equal variance. Secchi depth was normally distributed in all years and demonstrated equal variance. Chlorophyll‐a was log‐normally distributed and logs had equal variance among the years. TP residuals were normally distributed and had equal variance among the groups. Therefore, the parametric GLM (ANOVA) test was selected with a Bonferonni post‐hoc pairwise comparison. Table 8. Evaluation results for tests of normality and equal variance among groups.


Equal Variance?1


Equal Variance?


Equal Variance?


Equal Variance?


Total Phosphorus

Yes No Yes No Yes Yes Yes No


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1Levene’s test 2Shapiro‐Wilks test Pairwise comparisons for Loeb Lake suggest that there is some variability from year to year especially in TP, but water quality generally has remained consistent over the past 9 years. 2003, 2006, and 2012 were higher in TP than most other years but no differences were identified in chlorophyll‐a concentrations. Trend Assessment Exogenous Variables Precipitation was evaluated as a potential factor affecting water quality trends in Loeb Lake (Figure 23). No relationship was found between monthly TP concentrations and monthly precipitation totals. Seasonality and Autocorrelation The majority of data collected for Loeb Lake were collected in the summer months but there is some variability (Figure 24). Consequently, a seasonally adjusted Mann‐Kendall Tau should be applied. Crosby Lake demonstrated serial autocorrelation in TP, but not in Secchi or chlorophyll‐a data (Figure 25). Autocorrelation is accounted for in TP, but not the other parameters. Trend Assessment No water quality trends were detected in Loeb Lake. Multivariate Assessment The multivariate TSI assessment for Loeb Lake suggests that the lake is typically P‐limited although zooplankton grazing may play a role in expected algal abundance (Figure 26). Potential Drivers of Water Quality Loeb Lake Conclusions

Chlorophyll-a

Yes No Yes Yes Yes No Yes Yes

Secchi Depth

Yes Yes Yes Yes Yes Yes Yes Yes


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1. Water quality is fairly consistent in Loeb Lake with no trends detected in TP, chlorophyll‐a or

Secchi depth.

2. Comparisons among years yield few differences with only TP showing some differences among

years.

3. The multivariate TSI assessment suggests that Loeb Lake is a fairly typical P‐limited lake.

SUMMARY Following is a summary of the results of the analysis. Can the water quality of CRWD lakes be described as generally getting better or worse than was recorded in the past? In general, water quality in CRWD lakes is fairly stable with a few demonstrating signs of eutrophication. Lake McCarron demonstrates improved water quality as a direct result of the alum treatment conducted in 2004. Although the alum treatment visually demonstrates some signs of weakening, no statistical trends were identified suggesting that water quality is degrading. Como Lake demonstrates a cyclical pattern in water quality that is likely directly tied to changes in submerged aquatic vegetation and zooplankton abundance. Total phosphorus concentrations in Como Lake appear to be improving. Water quality in Crosby Lake appears to be degrading with higher TP and chlorophyll‐a concentrations resulting in decreased water clarity. Water quality in Loeb Lake appears to be stable with relatively good water quality. What trends in water quality exist? Can these trends be verified through statistical methods? Statistical methods applied to CRWD lake water quality demonstrated relatively stable water quality in the lakes except for Crosby Lake. Lake McCarrons had no significant trends prior to or after the alum treatment suggesting that water quality is stable in the lake. Detecting statistical trends in water quality in Como Lake is very difficult due to the complex interactions of vegetation and zooplankton on water quality. Although statistical results were weak, total phosphorus concentrations appear to be improving suggesting that other factors are controlling water clarity. Crosby Lake demonstrates a statistically significant trend toward poorer water quality with increased phosphorus and chlorophyll‐a concentrations and decreased water clarity. Loeb Lake remains stable. What factors are driving the trends in water quality among the different lakes? The lakes demonstrated a variety of factors controlling water quality. Both Lake McCarrons and Loeb Lake appear to be phosphorus limited lakes where nutrient controls remain the best approach for controlling eutrophication. Both Crosby Lake and Como Lake are more typical shallow lakes that


20


demonstrate other factors affecting water quality including vegetation, zooplankton and fish abundance. Crosby Lake is further complicated by its connection to the Minnesota River which has the potential to bring in large quantities of sediment and nutrients during flood periods. The degrading water quality trend in Crosby Lake is most likely attributed to flooding frequency since there are no apparent changes in the watershed that lead to additional nutrient loading. What qualitative statements can be made regarding the causes and effects in the observed water quality trends? Lakes in the CRWD watershed have relatively stable water quality; however both Como Lake and Crosby Lake are sensitive to factors other than nutrient loading including submerged vegetation, zooplankton and fish abundance. Crosby Lake has the additional pressures of nutrient and sediment loading from the Minnesota River. Monitoring and managing biological conditions in these two lakes is critical to successfully improving and maintain water quality. For Crosby Lake, managing the input of sediment and nutrients from the Minnesota River could stabilize water quality, although managing flood water inputs is very difficult. It may take direct management such as alum addition or other phosphorus inactivation to be effective. Long term nutrient load management is effective for both Loeb and McCarrons Lake. The long term effectiveness of the McCarrons Lake alum treatment poses the greatest risk for water quality degradation in the lake. What monitoring recommendations can be made to improve assessing lake conditions in the CRWD? How should lake health be assessed moving forward? For the two deep lakes, continuing the current monitoring (TP, chlorophyll‐a, and Secchi plus field parameters) is sufficient for assessing the health of the lake. Monitoring of the phytoplankton and zooplankton communities provide some insight into the health of the lake too, but are not critical. For the shallow lakes, the standard water quality parameters are important, but so is the submerged aquatic vegetation community. The best measure of healthy shallow lake is the clarity of the water and the diversity and robustness of the submerged aquatic vegetation community. So, annual (or every few years) vegetation surveys are critical in assessing lake health. Zooplankton, phytoplankton, and fish surveys can be useful in assessing mechanisms controlling water quality. Following is a description of the analytical results for each of the lakes. Lake McCarrons Lake McCarrons is a deep lake that received an alum treatment in 2004. Watershed BMPs have also been introduced over the periods of record, specifically the Villa Parks wetland complex. Water quality improved significantly after the alum treatment with reduced TP and chlorophyll‐a and increased Secchi depth. Prior to the alum treatment, no trends were identified in water quality suggesting that conditions were fairly stable. After the alum treatment, water quality improved greatly over a 3 to 4 year period;


21


however recent data is demonstrating that the effectiveness of the alum treatment may be diminishing although no water quality trend was detected. Como Lake Como Lake, a shallow lake, demonstrates a cyclical pattern in water quality that may be related to other factors such as a boom‐bust fishery. The pattern should be explored further in relation to fish and zooplankton data. Como Lake did have a significant decreasing trend in TP, although statistical testing among years could not pick up the differences. There may be a long term, slow decrease in TP concentrations, albeit a very small one. Water clarity appears to be affected by factors beyond algal abundance, but the lake is phosphorus limited. Crosby Lake Although water quality in Crosby Lake is fairly good, water quality is decreasing in the lake over the past 13 years. Total phosphorus and chlorophyll‐a had significant increasing trends while Secchi depth had a significant decreasing trend. Water clarity followed a similar trend as algal abundance suggesting algal abundance is the primary factor controlling water clarity. Loeb Lake Overall, Loeb Lake demonstrated consistent water quality over the period of record with little to no variation in chlorophyll‐a or Secchi depth. Loeb Lake appears to be a P‐limited lake that has not experienced any major changes in water quality in the past 9 years. REFERENCES Wenck Associates Inc. 2012. Crosby Lake Management Plan. Report to the Capitol Region Watershed District.


Regular Meeting of the Capitol Region Watershed District (CRWD) Board of Managers, for Wednesday,

May 21, 2014 6:09 p.m. at the office of the CRWD, 1410 Energy Park Drive, Suite 4, St. Paul, Minnesota.

REGULAR MEETING

I. Call to Order of Regular Meeting (President Joe Collins)

A) Attendance

Joe Collins

Shirley Reider

Seitu Jones

Mary Texer

Mike Thienes absent

w/notice

Staff Present

Mark Doneux, CRWD

Michelle Sylvander, CRWD

Forrest Kelley, CRWD

Nate Zwontizer, CRWD

Gustavo Castro, CRWD

Anna Eleria, CRWD

Britta Suppes, CRWD

Public Attendees Todd Shoemaker, Wenck

Catherine Zimmer, Zen LLC

Mike Brandt, MFRA, Inc.

B) Review, Amendments and Approval of the Agenda

President Joe Collins asked for additions or changes to the agenda. No changes were requested.

Motion 14-100: Approve the May 21, 2014 Agenda.

Jones/Texer

Unanimously approved

II. Public Comments – For Items not on the Agenda

There were no public comments.

III. Permit Applications and Program Updates

A) Permit # 13-027 Vintage on Selby (Kelley)

Mr. Kelley reviewed Permit #13-027 Vintage on Selby. The applicant is Ryan Companies, Inc. The permit is

for the demolition of existing Associated Bank and construction of a new mixed use development at Snelling

and Selby. The applicable rules are Stormwater Management (Rule C), Flood Control (Rule D), and Erosion

and Sediment Control (Rule F). The disturbed area of this project is 2.62 Acres and 2.59 Acres impervious

surface.

The stormwater management plan includes rooftop filtration, underground infiltration, stormwater harvest and

reuse and boulevard tree planters. Ms. Zimmer of Zen LLC shared concerns about the planting selection, by

Ryan Companies, for the rooftop filtration system. Ms. Zimmer feels that the selection of plantings should

include more native species to attract bees for the pollination. Ms. Zimmer thanked Mr. Kelley and the Board

of Managers for letting her share her concerns. Mr. Kelley replied that CRWD can not require the plant

June 4, 2014 Board Meeting

V. Action Item A) Approve Minutes

of May 21, 2014

DRAFT Regular Board Meeting

(Sylvander)


selection by Ryan Companies but can make recommendations. Ms. Texer requested to add a recommendation

that Ryan Companies selection include more native species. Administrator Doneux clarified that a

recommendation approved by the Board is in order to issue a permit. The recommendation of more native

species planting selection should be supplementary recommendation to Ryan Companies in the form of a letter.

President Collins suggested that a motion for a letter to Ryan Companies to recommend more native species of

plants be selected in the planting of the Vintage on Selby.

Motion 14-101: Approve a letter to Ryan Companies to recommend more native species of plants be selected in

the planting of the Vintage on Selby.

Texer/Jones


Motion 14-102: Approve Permit Application 13-027 Vintage on Selby with three conditions.

1. Receipt of documentation that the maintenance agreement has been recorded with Ramsey

County

2. Provide an Operation and Maintenance Plan for the stormwater harvest and reuse system.

3. Provide a copy of the NPDES permit.

Texer/Jones


Mr. Kelley noted that Attorney Mogan suggested additional detail on volume reduction be provided to clarify

the requirements of CRWD.

Ms. Texer requested to Admend Motion 14-102: 2. Provide an Operation and Maintenance Plan for the

stormwater harvest and reuse system with detail to assure volume reduction.

Texer/Reider

B) Permit #14-012 Lower Villa Park Improvements (Kelley)

Mr. Kelley reviewed Permit #14-012 Lower Villa Park Improvements. The applicant is Roseville Parks and

Recreation. The permit is for the construction of a new warming house and replacement of the hockey rink

boards. The applicable rules are Stormwater Management (Rule C), Flood Control (Rule D), Wetland

Management (Rule E), Erosion and Sediment Control (Rule F). The disturbed area of this project is 1.1 Acres

and .15 Acres impervious surface.

Motion 14-103: Approve permit 14-012 Lower Villa Park Improvements with three conditions:

1. Receipt of maintenance agreement.

2. Remove topsoil layer from the infiltration basin detail, and provide a planting plan for

vegetation establishment. Establishing vegetation on basin bottoms through seed in ineffective.

3. Provide a copy of the NPDES permit.

Reider/Texer



C) Permit #14-013 Goodwill (Kelley)

Mr. Kelley reviewed Permit #14-013 Goodwill Store. The applicant is The Driessen Group, LLC. The permit is

for the demolition and reconstruction of a new Goodwill store at 1221 University Avenue. The applicable rules

are Stormwater Management (Rule C), Flood Control (Rule D), Erosion and Sediment Control (Rule F). The

disturbed area of this project is 1.06 Acres and .97 Acres impervious surface.

Motion 14-104: Approve permit 14-013 Goodwill with two conditions:

1. Receipt of $4,850 surety and documentation of recorded maintenance agreement.

2. Provide a note for details 05 and 06 to clarify that filter fabric shall not be installed on the

bottom of the infiltration trench.

Texer/Reider


D) Permit Program/Rules Update (Kelley)

Mr. Kelley provided an update on the permit program rules. The TAC committee is reviewing volume and

filtration credits. Mr. Kelley is anticipating a permit request for the Frogtown farms.

IV. Special Reports.

A. 2013 Stormwater Monitoring Report, Britta Suppes

Since 2005, CRWD has been collecting and analyzing water quality data through the District Monitoring

Program. During the 2013 monitoring period (January-December), stormwater monitoring sites located

throughout six of the sixteen major subwatersheds were monitored for flow and water quality. Water quality

samples were analyzed for a variety of parameters including nutrients, solids, metals, bacteria, and chloride.

Conclusions and recommendations from 2013 will help guide monitoring performed in 2014.

For the first time this year, there will be two monitoring reports: Stormwater Monitoring Report and Lakes

Monitoring Report. Ms. Suppes reviewed of the Stormwater Monitoring Report. The Lakes Monitoring Report

will be on the agenda at the June 4th

Board Meeting.

Staff have analyzed the 2013 monitoring data and have completed a draft stormwater report. Ms. Suppes

reviewed the report with the Managers highlighting key findings from the monitoring efforts. Ms. Suppes

reviewed graphs with record high precipitation in 2013. On June 21, 2013 an intense storm measured 1.13

inches of rain in 15 minutes, with a total of 2.85 inches in 24 hour period. This storm accounted for twenty five

percent of the annual rain fall. Two new monitoring stations have been added to the Trout Brook area.

Ms. Suppes shared annual e coli average or loading, Sarita subwatershed showed a very high increase. This

area is located near the Minnesota State Fair Grounds and typically does have higher pollutants due to the

number of livestock in the subwatershed. The Board of Managers thanked Ms. Suppes for her presentation.

Motion 14-105: Approve the 2013 Stormwater Monitoring Report

Texer/Jones



V. Action Items

A) AR: Approve Minutes of the May 7, 2014 Regular Meeting (Sylvander)

Motion 14-106: Approve Minutes of the May 7, 2014 Regular Meeting.

Reider/Jones


B) AR: Approve April Accounts Payable & Budget Update (Sylvander)

Motion 14-107: Approve April 2014 Accounts Payable/Receivable and April budget report and direct

Treasurer and Board President to endorse and disperse checks for these payments.

Reider/Jones


C) AR: Highland Ravine Stabilization Project (Eleria)

Ms. Eleria reviewed the Highland Ravine Stabilization Project. In late March, CRWD’s Board of Managers

authorized solicitation of bids for the Highland Ravine Stabilization Project that was contingent on securing

easements and agreements from all homeowners and the City of Saint Paul. The homeowner agreements were

approved by CRWD’s attorney and fully executed in early April.

Bidding for the project extended over a three-week period from April 18 to May 12, 2014. CRWD received bids

from three contractors: 1) Blackstone Contractors - $515,564.50; 2) Lametti & Sons, Inc. - $587,700; and 3)

Sunram Construction - $312,622. The engineer’s estimate of construction cost was $300,700. Sunram

Construction has worked with Wenck on stabilization projects for several organizations including Coon Creek

WD, Minnehaha Creek WD and Shingle Creek WMO. In addition, Sunram was CRWD’s contractor for the

Williams Street Project that was completed in 2012. CRWD staff recommends the Board award the project to

Sunram Construction who is the lowest, responsible, qualified bidder.

Based on updated cost estimates for construction and upcoming engineering services (discussed in the following

Board agenda item), the project budget table has been updated below.

Motion 14-108: Authorize the Board President and Administrator to execute a Notice of Award and an

Agreement with Sunram Construction for the Highland Ravine Stabilization Project subject to the review and

approval of the Ramsey County Attorney; and authorize the Administrator to execute change orders in an

amount not to exceed $33,000.

Reider/Texer


In early November 2012, CRWD’s Board of Managers approved Wenck Associates as the engineer for the

Highland Ravine Stabilization Project for an original contract amount of $45,476. To date, CRWD has

approved four contract amendments for additional engineering work at cost of $15,744 for a total engineering

budget of $61,220. The additional work included stabilization designs for ravines discovered during field work,

addressing multiple rounds of comments, and covering other design changes that were outside the original

scope of work.


CRWD staff is requesting the Board approve a contract amendment for Wenck Associates for two reasons:

additional design changes requested by CRWD staff and upcoming engineering work during construction. Since

the last approved contract amendment in Nov. 2013, CRWD staff requested Wenck complete three out of scope

work items, which included revising the design of the stormwater pond in Ravine 1 to avoid removal of a large

basswood tree as requested by the homeowners, eliminating the stabilization design of two gullies in Ravine 3

since an easement could not be obtained from the affected homeowner, and attendance at a second pre-bid

meeting for tree removal subcontractors. The cost for these items is $3,363.56. See attached Wenck memo.

Wenck has prepared the attached proposal for construction engineering services which includes a significant

amount of time for construction observation and meetings, review of contractor submittals, pre- and post-

construction inspections of Deer Park foundations, construction staking, final construction report, and project

management. The estimated cost for these services is $85,327. CRWD staff is recommending the Board

approve a Wenck contract amendment in the amount of $88,691 for several design changes and construction

engineering services. Ms. Eleria will write a letter to the contractor to stress the importance of the completion

date.

Motion 14-109: Approve Contract Amendment #5 for Wenck Associates, Inc. for the Highland Ravine

Stabilization Project in an amount not to exceed $88,691 for a total contract budget of $149,911; and authorize

the Administrator to execute contract amendments in an amount not to exceed 10% of the construction

engineering services budget.

Reider/Texer


D) AR: Adopt Citizen Advisory Committee Framework (Doneux)

Administrator Doneux reviewed the CAC had a drop off in attendance in 2013. This drop in attendance

prompted the Co-Chair, Gwen Willems, Manager Reider and Administrator Doneux to discuss ideas to

reinvigorate the committee. The Board also had a general discussion on this topic at the September 18th

Board

meeting.

At the October 9th

CAC meeting, former State Senator Ellen Anderson facilitated a discussion on ways to

reinvigorate the committee. As part of that discussion the Board felt that it would be beneficial to provide input

on ways to provide a clearer role and responsibilities for the CAC.

Staff have been working with the CAC to develop an orientation packet to be used to help recruit and welcome

new members. The packet includes a Framework document to be used to guide the work of the CAC and

outlines the roles and responsibilities of the CAC. The Framework will serve as a stand-alone document. CAC

and staff will update the Orientation Packet as needed.

Motion 14-110: Adopt CAC Framework.

Texer/Reider


E) AR: Amend Stewardship Grant Funding Policy (Castro)

Over the past year CRWD staff has been reviewing the Stewardship Grant program to identify ways it can be

improved. On March 19, 2014 the CRWD Board of Managers approved four actions that were identified for


improvement, including: outreach/education, design efficiency, and grant project funding. One of the approved

actions was the use of a calculator to help determine grant awards for water quality improvement projects

within the District. Instead of focusing on the project cost, the calculator factors in size and area type treated

(roof, street, lawn etc.), rainfall depth treated, and provides a bonus based on promotional/educational value of

the project. Currently, high performing, highly visible projects may be eligible for 100% funding, thereby

increasing the likelihood it will be installed.

After having conducted over 20 site visits during the spring of 2014, CRWD staff is recommending two

additional changes to the Stewardship Grant Program Policies.

Residential vs. Non-Residential: According to the current policies, a single cap is used when determining

grant awards. The maximum grant award for both, residential and non-residential (schools, churches and

businesses) projects is capped at 100% of the total eligible project costs. CRWD staff believes that a

contribution, even if small, from non-residential grant applicants can increase the sense of ownership of the

project, and thus help ensure appropriate long term maintenance of each project.

For-Profit vs. Nonprofit: Since for-profit and public/nonprofit organizations have different missions and

resources to find matching funds, CRWD staff recommends that these characteristics be considered when

determining grant awards.

Ms. Reider asked for clarifications on Residential vs. Non Residential. Mr. Castro explained that residential

awards would stay at a cap of 100%. Non Residential grant applications like a church or school would cap at

75% and 95% to help increase the sense of ownership and ensure appropriate long term maintenance of each

project.

Motion 14-111: Amend Stewardship Grant Program funding policies:

a. Establish 95% of total eligible project costs as the maximum combined, CRWD and other public

sources, award for public and nonprofit organizations,

b. Establish 75% of total eligible project costs as the maximum combined, CRWD and other public

sources, award for for-profit organizations.

Texer/Reider


F) AR: Authorize Full-Time, Temporary Water Resource Technician Position (Doneux)

The 2014 Work Plan and Budget included a 0.75 FTE for a Permit Inspector and a 0.25 Water Resource

Technician (Monitoring). Currently these two partial positions are being full filled by Corey Poland.

When this approach was first developed it was envisioned that the 0.75 FTE Permit Inspector position would be

full time for nine months of the year during the construction season and the Water Resource Technician would

be a separate individual brought on during the three summer months. With a single year-round position the

District has been fortunate to have a single person gain experience in both areas bringing about greater

efficiency for both programs. However, due the continued increase in demand for permit inspections and the

regular conflict between permit inspections and water monitoring during wet cycles, staff recommend the

District employee a full-time, temporary technician to assist with monitoring during the three summer months

allowing the Permit Inspector to dedicate the majority of his time and prioritize permit inspections and close

outs. The position would be non-exempt (hourly) and the pay range would be from $12-$14/hour. The period

of employment would be roughly June through August. This position would not accrue PTO nor provide


benefits. The total cost is estimated to be $6,000 and funding would come from the budget 0.25 FTE ($10,810)

position in the Monitoring Program Budget.

Motion 14-112: Authorize the Administrator to advertise and fill the full-time, temporary Water Resource

Technician position.

Reider/Texer


VI. Unfinished Business

A) FI: Lake McCarron’s Aquatic Plant Harvesting Project Update (Zwontizer)

Mr. Zwontizer gave a brief update on the Lake McCarron’s Aquatic Plant Harvesting. Midwest Weed

Harvesting notified Mr. Zwontizer that the company is for sale and would not be entering into a contract for the

2014 season. Mr. Zwontizer has notified the homeowners and sent out Request for Quotes to vendors in an

effort to still complete the project in 2014 as planned. Mr. Zwontizer has received one proposal from a

company in North Dakota that is filling other contracts in the Twin Cities area. About half of the permits for

the Department of Natural Resources have been signed by homeowners.

B) FI: Curtiss Pond Improvement Project (Fossum)

Administrator Doneux gave an update on the Curtiss Pond Improvement Project in place of Mr. Fossum. The

bidding for the Curtiss Pond Improvement Project closed on May 9th

. Eleven contractors submitted very

competitive bids. Staff had a meeting with MN DOT regarding funding for this project.

VII. General Information

A) District Office Facility Update (Doneux)

Administrator Doneux reviewed at the May 7, 2014 Board Meeting the Managers approved an agreement for

Real Estate Services with DTZ. Staff has worked with DTZ Americas, Inc. to begin planning for the next phase

of our real estate search process. DTZ has drafted a one page CRWD Facility Mission Statement. The Draft CRWD Facility Mission Statement is based on the Program and Facility Plan developed by CB Richard Ellis.

As part of the Lease Extension, a minor office remodel is proposed to provide adequate space for our existing

staff on the east side of the office and provide two additional work stations for a possible future summer

seasonal staff or GreenCorps Member as well as a small meeting area. The plan is to incorporate the

remodeling work as part of the Lease Extension.

Administrator Doneux has met with DTZ to review sites visited with CB Richard Ellis. The first goal with DTZ

is to draft the lease amendment with the remodel tenant improvements rolled into the lease. No action was

requested.

B) Administrator’s Report

Administrator Approved or Executed Agreements

Partner Grant Agreement with Urban Roots for youth intern stipends - $12,000.

Consultant Services Agreement with Barr Engineering Co. for the creation of two rain garden renderings -

$3,000.


Board Approved or Executed Agreements

Amendment No. 1 to Consultant Services Agreement with Houston Engineering for Design and Engineering of

the Curtiss Pond Project to include additional work, extend deadline to September 1, 2015 and increase budget

by $49,584 for a total not to exceed $100,584.

Consultant Services Agreement with Outdoor Lab to assist with the maintenance of CRWD’s BMPs - $27, 242.

General updates including recent and upcoming meetings and events

Staff and Board Managers Reider and Jones attended the Great River Gathering Event on May 8, 2014.

Staff will participate in the Saint Paul Public Works Open House on Tuesday, May 20, 2014.

Corey Poland, Lindsay VanPatten and President Joe Collins have completed the Watershed Specialist Training

through the University of Minnesota’s Water Resource Center and Extension.

The Arlington-Rice RSVP boulevard garden planting event will be Saturday, May 31, 2014. Staff will

coordinate the event with help from Great River Greening and District Six Planning Council.

Nominations for Blooming Saint Paul Award are being accepted through June 27, 2014. This is the second year

the CRWD has sponsored the Clean Water Award category that recognizes projects that demonstrate

stormwater runoff reduction, pollution prevention or water reuse.

1.) Upcoming events and meetings

A) Next Board meeting is Wednesday June 4, 2014 from 6:00 – 8:00 pm.

B) Next CAC meeting is Wednesday June 11, 2014 this will be the annual site tour beginning with a

presentation at CRWD at 5:30 pm. The tour will focus on the Trout Brook Valley area. Managers

Jones, Texer and Reider plan to attend.

C) MAWD Annual Meeting, Thursday June 19, 2014 will be the St. Croix River Tour.

2.) Project Updates – CRWD staff assisted teaching artists with Public Art Saint Paul with planning for the 2014 PASPider Mobile

Art Series, “Making the Invisible Visible” which includes the themes of stormwater and water quality. The

Mobile Art Lab will be located in Western Sculpture Park every Tuesday afternoon from June 10-Aug. 23. Last

year the Mobile Art Lab served more than 500 children, the average participant age was seven.

VIII. Adjournment

Motion 14-113: Adjournment of the May 21, 2014 Regular Board Meeting at 7:45 p.m.

Jones/Texer

Unanimously Approved

Respectfully submitted,

Michelle Sylvander

Our Mission is to protect, manage and improve the water resources of Capitol Region Watershed District.

DATE: May 29, 2014 TO: CRWD Board of Managers FROM: Anna Eleria, Water Resource Project Manager RE: Approve TBI Work Order No. 7 for Barr Engineering for 5-Year TBI Inspection

Background CRWD conducted the last inspection of nearly the entire length of the Trout Brook Storm Sewer Interceptor (TBI) in June 2007. The purpose of the inspection was to assess the condition of TBI, identify defects such as cracks, holes and infiltration, and recommend sections to repair. This inspection served as the basis for the 10-year TBI capital improvement plan (CIP) that was developed by CRWD’s engineer, TKDA, in 2009. The 10-year CIP calls for a thorough inspection of TBI every five years to proactively identify and address any problems. Issues CRWD staff requested that Barr Engineering prepare the enclosed draft work order for TBI inspection services. The TBI inspection would be performed system-wide with the exception of two locations: TBI Realignment Project area near 35E/Cayuga, which will be inspected in fall 2014 as part of the one-year warranty inspection and TBI near Maryland Avenue, which was inspected in spring 2013 as part of MnDOT’s Maryland Ave. Bridge Project. Anticipated to occur over approximately 15 days, Barr will visually inspect the interior of TBI for invert integrity, settlement, sediment, cracks, voids and other defects. Barr will prepare a final report summarizing the inspection findings, highlight changes in conditions from previous inspections, rate the condition of TBI sections and provide recommendations for future repairs. The estimated cost for the TBI inspection is $86,410. As a point of comparison, the 2007 TBI Inspection and CIP by TKDA cost approximately $63,400. CRWD budgeted $146,560 in 2014 for TBI inspection and maintenance related activities. CRWD staff will discuss in further detail the scope of work and budget for TBI inspection services. Action Requested Approve TBI Work Order No. 7 for Barr Engineering in an amount not to exceed $86,410; and authorize the Administrator to execute work order amendments in an amount not to exceed $8,640. enc: Draft TBI Work Order No. 7 for 5-Year TBI Inspection Services W:\06 Projects\Trout Brook Interceptor\TBI Inspections\2014 Inspection\Board Memos\BM TBI Inspection Work Order 06-04-14.docx

June 4, 2014 Board Meeting V. Action Item – B) TBI Work Order No. 7 for TBI Inspection

(Eleria)

Trout Brook Storm Sewer Inspections

May 28, 2014

ENGINEERING AND SUPPORT SERVICES

DIRECT COSTS

Task Identification $165.00 $125.00 $120.00 $100.00 $75.00 $65.00 $75.00 $225.00

1.1 Phase A: Troutbrook Storm Sewer - Main Tunnel Inspection

1.1.1 Task 1: Gather and Review Existing Data 1 4 4 9 1,005.00$ 45.00$ 1,050.00$

1.1.2 Task 2A: On-site Condition Survey by walking 4 6 99 90 90 81 40 410 43,305.00$ 5,335.00$ 48,640.00$

Task 2B: On-Site Condition Survey by Televising, 1,700 feet 20 10 30 2,750.00$ 5,000.00$ 7,750.00$

1.1.3 Task 3: Data Compilation 6 6 12 1,320.00$ 1,320.00$

Phase A Subtotal 4 7 109 120 90 81 10 40 461 48,380.00$ 10,380.00$ 58,760.00$

1.2 Phase B: Troutbrook Storm Sewer - East Extension Inspection

1.2.1 Task 1: Gather and Review Existing Data 1 2 2 5 565.00$ 565.00$

1.2.2 Task 2: On-site Condition Survey 1 2 11 10 10 10 44 4,135.00$ 730.00$ 4,865.00$

1.2.3 Task 3: Data Compilation 1 4 5 520.00$ 520.00$

Phase B Subtotal 1 3 14 16 10 10 0 0 54 5,220.00$ 730.00$ 5,950.00$

1.3 Phase C: Troutbrook Storm Sewer - West Extension Inspection

1.3.1 Task 1: Gather and Review Existing Data 1 2 2 5 565.00$ 565.00$

1.3.2 Task 2: On-site Condition Survey 1 2 20 20 20 20 83 7,615.00$ 1,300.00$ 8,915.00$

1.3.3 Task 3: Data Compilation 1 4 5 520.00$ 520.00$

Phase C Subtotal 1 3 23 26 20 20 0 0 93 8,700.00$ 1,300.00$ 10,000.00$

1.4 Task 4: Final Report

1.4.1 Final Report 5 5 15 20 20 5 70 7,125.00$ 75.00$ 7,200.00$

Task 4 Subtotal 5 5 15 20 20 0 5 0 70 7,125.00$ 75.00$ 7,200.00$

1.5 Task 5: Project Management and Meetings

1.5 Project Management and 2 meetings 15 5 10 2 32 4,450.00$ 50.00$ 4,500.00$

Total Hours 26 23 171 182 140 111 17 40 710 73,875.00$ 12,535.00$ 86,410.00$

Notes/Assumptions

Section 1.1.2 Assumes ten- 8 hr days of inspection with 3 Barr Staff in TBI and 1 Barr surface attendant (tunnel footage = 18,840 feet)

Section 1.2.2 Assumes one- 8 hr days of inspection with 3 Barr Staff in TBI and 1 Barr surface attendant (tunnel footage = 3103 feet)

Section 1.3.2 Assumes two- 8 hr days of inspection with 3 Barr Staff in TBI and 1 Barr surface attendant (tunnel footage = 5045 feet)

Expenses include all equipment required for inspection (including all confined space and fall protection equipment), mileage, report production, and televising services for Phase A, Task 2B.

Expenses for the days that Rescue Resources will not be onsite include 6 backup oxygen canisters.

PICHours

Total by

Task

ENG. 1PMVehicle

Mileage/Equipment/

Expenses

AdminTotal

Estimated Hours and Expenses for Tasks

ENG. 2 ENG. 3 Surface AttendantRescue

Resources Labor Total


DATE: May 29, 2014 TO: CRWD Board of Managers FROM: Anna Eleria, Water Resource Project Manager RE: Approve 2013 MS4 Annual Report Comment Period

Background As a regulated operator of a small municipal separate storm sewer system (MS4), CRWD is required to prepare and submit an annual report of activities and accomplishments associated with its stormwater pollution prevention program (SWPPP) by June 30th to MN Pollution Control Agency (MPCA). CRWD must solicit public comment on the MS4 annual report and hold an annual public meeting to present the SWPPP activities and accomplishments made each year. Issues CRWD staff has summarized CRWD’s stormwater management activities and accomplishments in 2013 in the enclosed draft MS4 annual report form that was provided by MPCA and in CRWD’s draft 2013 annual report, which was presented to the Board at the April 16th meeting. CRWD staff propose that the public comment period on CRWD’s 2013 SWPPP work start in early June and end on June 27th and the public meeting for presenting the draft report occur at the second Board meeting in June. Announcements of the public comment period and public meeting will be published in the Saint Paul Pioneer Press and CRWD’s website. The draft 2013 annual reports will be available on CRWD’s website. Action Requested Authorize public comment period on CRWD’s draft MS4 Annual Report for 2013; and approve the second June Board meeting as the public meeting date for the annual report. enc: Draft CRWD MS4 Annual Report for 2013 W:\06 Projects\Trout Brook Interceptor\NPDES MS4 Permit\Board Memos\BM SWPPP Annual Report Comment Period 06-04-14.docx

June 4, 2014 Board Meeting V. Action Item - C) CRWD MS4

Annual Report for 2013 Comment Period (Eleria)

www.pca.state.mn.us • 651-296-6300 • 800-657-3864 • TTY 651-282-5332 or 800-657-3864 • Available in alternative formats wq-strm4-06 • 12/19/13 Page 1 of 5

MS4 Annual Report for 2013 Municipal Separate Storm Sewer Systems (MS4s)

Reporting period January 1, 2013 to December 31, 2013 Due June 30, 2014

Doc Type: Permitting Annual Report

Instructions: By completing this mandatory MS4 Annual Report form, you are providing the Minnesota Pollution Control Agency (MPCA) with a summary of your status of compliance with permit conditions, including an assessment of the appropriateness of your identified best management practices (BMPs) and progress towards achieving your identified measurable goals for each of the minimum control measures as required by the MS4 Permit (permit). If a permittee determines that program status or compliance with the permit can not be adequately reflected within the structure of this form additional explanation and/or information may be referenced in an attachment. This form has limitations and provides only a snap shot of your compliance with the conditions in the permit. After reviewing the information, MPCA staff may need to contact the permittee to clarify or seek additional information.

Submittal: This MS4 Annual Report must be submitted electronically to the MPCA using the submit button at the end of the form, from the person that is duly authorized to certify this form. All questions with an asterisk (*) are required fields (these fields also have a red border), and must be completed before the form will send. A manual confirmation e-mail will be sent in response to electronic submissions. If you do not receive an e-mail confirmation within two business days, please contact the program staff below. (If the submit button does work for you, you can save a copy of the form to a location on your computer where you will easily be able to retrieve it. You will then have to attach the form separately to an e-mail once you are within your Internet mail.)

If you have further questions, please contact one of these MPCA staff members (toll-free 800-657-3864):

· Scott Fox 651-757-2368 [email protected] · Claudia Hochstein 651-757-2881 [email protected] · Cole Landgraf 651-757-2880 [email protected] · Dan Miller 651-757-2246 [email protected] · Rachel Stangl 651-757-2879 [email protected]

General Contact Information (*Required fields)

*Name of MS4: *Contact name:

*Mailing address:

*City: *State: *Zip code:

*Phone (including area code): *E-mail:

Minimum Control Measure 1: Public Education and Outreach [V.G.1] (*Required fields)

A. The permit requires each permittee to implement a public education program to distribute educational materials to the community or conduct equivalent outreach activities about the impacts of stormwater discharges on water bodies and steps that the public can take to reduce pollutants in stormwater runoff. [Part V.G.1.a]

Note: Indicate which of the following distribution methods you used. Indicate the number distributed in the spaces provided (enter “0” if the method was not used or “NA” if the data does not exist):

Media type Number of media Number of times published Circulation/ Audience

Example: Brochures: 3 different brochures published 5 times about 10,000 Brochures:

Newsletter:

Posters:

Newspaper articles:

Utility bill inserts:

Radio ads:

Television ads:

Cable Access Channel:

Other:

Other:

Other:

http://www.pca.state.mn.us/

mailto:[email protected]






B. *Do you use a website as a tool to distribute stormwater educational materials? Yes No

What is the URL:

C. If you answered yes in question B. above, do you track hits to the site? Yes No

How many hits were to the stormwater page?:

D. *Did you hold stormwater related events, presentations to schools or other such activities? Yes No

If yes, describe:

E. *Have specific messages been developed and distributed during this reporting year for Minimum Control Measure (MCM):

MCM 1: Yes No MCM 4: Yes No



F. *Have you developed partnerships with other MS4s, watershed districts, local or state governments, educational institutions, etc., to assist you in fulfilling the requirements for MCM 1?

Yes No

G. List those entities with which you have partnered to meet the requirements of this MCM and describe the nature of the agreement(s). Attach a separate sheet if necessary:

H. *Have you developed methods to assess the effectiveness of your public education/outreach program?

Yes No

If yes, describe:

Minimum Control Measure 2: Public Participation/Involvement [V.G.2] (*Required fields)

A. The permit requires you to hold at least one public meeting per year addressing the Stormwater Pollution Prevention Program. You must hold the public meeting prior to submittal to the Commissioner of the annual report. [Part V.G.1.e.]

B. *Did you hold a public meeting to present accomplishments and to discuss your Stormwater Pollution Prevention Program (SWPPP)?

Yes No

If no, explain:

C. *What was the date of the public meeting:

D. *How many citizens attended specifically for stormwater (excluding board/council members and staff/hired consultants)?

E. *Was the public meeting a stand-alone meeting for stormwater or was it combined with some other function (City Council meeting, other public event, etc.)?

Stand-alone Combined

F. *Each permittee must solicit and consider input from the public prior to submittal of the annual report. Did you receive written and/or oral input on your SWPPP? [Part V.G.2.b.1-3]

Yes No

G. *Have you revised your SWPPP in response to written or oral comments received from the public since the last annual reporting cycle? [Part V.G.2.c]

Yes No

If yes, describe. Attach a separate sheet if necessary:



Minimum Control Measure 3: Illicit Discharge Detection and Elimination [V.G.3] (*Required fields)

The permit requires permittees to develop, implement, and enforce a program to detect and eliminate illicit discharges as defined in 40 CFR 122.26(b)(2). You must also select and implement a program of appropriate BMPs and measurable goals for this minimum control measure.

A. *Did you update your storm sewer system map? Yes No

If yes, please explain which components (ponds, pipes, outfalls, waterbodies, etc.) were updated/added:

Note: The storm sewer system map was to be completed by June 30, 2008. [Part V.G.3.a]

B. *Have you modified the format in which the map is available? Yes No

C. If yes, indicate the new format: Hardcopy only GIS system CAD

Other system:

D. *Did you inspect for illicit discharges during the reporting year? Yes No

E. If you answered yes in question D. above, did you identify any illicit discharges? Yes No

F. If you answered yes in question E. above, how many illicit discharges were detected during the reporting period?

G. If you answered yes in question E. above, did the illicit discharge result in an enforcement action? Yes No

If yes, what type of enforcement action(s) was taken (check all that apply):

Verbal warning Notice of violation Fines Criminal action Civil penalties

Other (describe):

Minimum Control Measure 4: Construction Site Stormwater Runoff [V.G.4] (*Required fields)

The permit requires that each permittee develop, implement, and enforce a program to reduce pollutants in any stormwater runoff to your small MS4 from construction activities within your jurisdiction that result in a land disturbance of equal to or greater than one acre, including the disturbance of less than one acre of total land area that is part of a larger common plan of development or sale if the larger common plan will ultimately disturb one or more acres. [Part V.G.4.]

A. The permit requires an erosion and sediment control ordinance or regulatory mechanism that must include sanctions to ensure compliance and contains enforcement mechanisms [Part V.G.4.a]. Indicate which of the following enforcement mechanisms are contained in your ordinance or regulatory mechanism and the number of actions taken for each mechanism used during the reporting period (enter “0” if the method was not used or “NA” if the data does not exist). Check all that apply.

Enforcement mechanism Number of actions Verbal warnings #

Notice of violation #

Administrative orders #

Stop-work orders #

Fines #

Forfeit of security of bond money #

Withholding of certificate of occupancy #

Criminal actions #

Civil penalties #

Other: #

B. *Have you developed written procedures for site inspections? Yes No

C. *Have you developed written procedures for site enforcement? Yes No



D. *Identify the number of active construction sites greater than an acre in your jurisdiction during the 2013 calendar year:

E. *On average, how frequently are construction sites inspected (e.g., weekly, monthly, etc.)?

F. *How many inspectors, at any time, did you have available to verify erosion and sediment control compliance at construction sites during the reporting period?

Minimum Control Measure 5: Post-construction Stormwater Management in New Development and Redevelopment [V.G.5] (*Required fields)

The permit requires each permittee to develop, implement, and enforce a program to address stormwater runoff from new development and redevelopment projects within your jurisdiction that disturb an area greater than or equal to one acre, including projects less than one acre that are part of a larger common plan of development or sale that discharge into your small MS4. Your program must ensure that controls are in place that would prevent or reduce water quality impacts. You must also select and implement a program of appropriate BMPs and measurable goals for this minimum control measure.

Note: The MS4 permit requirements associated with this minimum control measure were required to be fully developed and implemented by June 30, 2008.

A. *Have you established design standards for stormwater treatment BMPs installed as a result of post-construction requirements?

Yes No

B. *Have you developed procedures for site plan review which incorporate consideration of water quality impacts?

Yes No

C. *How many projects have you reviewed during the reporting period to ensure adequate long-term operation and maintenance of permanent stormwater treatment BMPs installed as a result of post-construction requirements? [Part V.G.5.b.and Part V.G.5.c].

D. *Do plan reviewers use a checklist when reviewing plans? Yes No

E. *How are you funding the long-term operation and maintenance of your stormwater management system? (Check all that apply)

Grants Stormwater utility fee Taxes

Other:

Minimum Control Measure 6: Pollution Prevention/Good Housekeeping for Municipal Operations [V.G.6] (*Required fields)

The permit requires each permittee to develop and implement an operation and maintenance program that includes a training component and has the ultimate goal of preventing or reducing pollutant runoff from municipal operations. Your program must include employee training to prevent and reduce stormwater pollution from activities, such as park and open space maintenance, fleet and building maintenance, new construction and land disturbances, and stormwater system maintenance.

A. *The permit requires each permittee to inspect annually all structural pollution control devices, such as trap manholes, grit chambers, sumps, floatable skimmers and traps, separators, and other small settling or filtering devices [Part V.G.6.b.2)]

B. *Did you inspect all structural pollution control devices during the reporting period? Yes No

C. *Have you developed an alternate inspection frequency for any structural pollution control devices? [V.G.6.b.7)]

Yes No

*Indicate the total number of structural pollution control devices for which you have developed and alternative inspection frequency:

D. *Indicate the total number of structural pollution control devices (for example-grit chambers, sumps, floatable skimmers, etc.) within your MS4, the total number that were inspected during the reporting period, and calculate the percent inspected. Enter “0” if your MS4 does not contain structural pollution control devices or none were inspected. Enter “NA” if the data does not exist:

*Total number *Number inspected *Percentage *Structural pollution control devices:

E. *Did you repair, replace, or maintain any structural pollution control devices? Yes No



F. *For each BMP below, indicate the total number within your MS4, how many of each BMP type were inspected and the percent inspected during the reporting period. Enter “0” if your MS4 does not contain BMPs or none were inspected. Enter “NA” if the data does not exist:

Structure/Facility type *Total number *Number inspected *Percentage *Outfalls to receiving waters:

*Sediment basins/ponds:

*Total

G. Of the BMPs inspected in F.. above, did you include any privately owned BMPs in that number? Yes No

H. If yes in G.. above, how many:

Section 7: Impaired Waters Review (*Required fields)

The permit requires any permittee whose MS4 discharges to a Water of the State, which appears on the current U. S. Environmental Protection Agency (EPA) approved list of impaired waters under Section 303(d) of the Clean Water Act, review whether changes to the SWPPP may be warranted to reduce the impact of your discharge [Part IV.D].

A. *Does your MS4 discharge to any waters listed as impaired on the state 303 (d) list? Yes No

B. *Have you modified your SWPPP in response to an approved Total Maximum Daily Load (TMDL)? Yes No

If yes, indicate for which TMDL:

Section 8: Additional SWPPP Issues (*Required fields)

A. *Did you make a change to any BMPs or measurable goals in your SWPPP since your last report? [Part VI.D.3.]

Yes No

B. If yes, briefly list the BMPs or any measurable goals using their unique SWPPP identification numbers that were modified in your SWPPP, and why they were modified: (Attach a separate sheet if necessary)

C. *Did you rely on any other entities (MS4 permittees, consultants, or contractors) to implement any portion of your SWPPP? [Part VI.D.4.]

Yes No

If yes, please identify them and list activities they assisted with:

Owner or Operator Certification (*Required fields)

The person with overall administrative responsibility for SWPPP implementation and permit compliance must certify this MS4 Annual Report. This person must be duly authorized and should be either a principal executive (i.e., Director of Public Works, City Administrator) or ranking elected official (i.e., Mayor, Township Supervisor).

*Yes - I certify under penalty of law that this document and all attachments were prepared under my direction or supervision in accordance with a system designed to assure that qualified personnel properly gathered and evaluated the information submitted. Based on my inquiry of the person or persons who manage the system, or those persons directly responsible for gathering the information, the information submitted is, to the best of my knowledge and belief, true, accurate, and complete (Minn. R. 7001.0070). I am aware that there are significant penalties for submitting false information, including the possibility of fine and imprisonment (Minn. R. 7001.0540).

*Name of certifying official:

*Title: *Date: (mm/dd/yyyy)



DATE: May 28, 2014

TO: CRWD Board of Managers

FROM: Nate Zwonitzer, Urban BMP Specialist

RE: Approve Agreement with Contractor for Lake McCarrons Vegetation Harvesting

Background

CRWD was working closely with Midwest Weed Harvesting to coordinate aquatic vegetation

management in Lake McCarrons. In early May, CRWD was notified by the business manager of the

company that the business was being sold and they would not be honoring 2014 contracts. In response,

CRWD quickly developed a request for quotes and sent it to all 27 companies on the DNR’s list of

approved mechanical vegetation harvesting companies. Quotes were due on May 23rd

, 2014.

Issues

Two companies submitted proposals. One proposal was for a scaled back “trial year” where two selected

properties would receive harvesting by scuba divers hand-pulling vegetation. Only one company, J&N

Weed Harvesting, provided an estimate for the full project outlined in the RFQ. J&N Weed Harvesting

is located in North Dakota and has several other contracts in the Twin Cities area. Their proposal totals

$31,766.04 (includes $754.84 to increase insurance coverage) for two rounds of harvesting. They also

charge $2.50 per additional mile if the disposal site is more than one mile from the project site. Our

current disposal site is Roseville’s leaf compost site at Dale and County Road C, approximately 2.7

miles from the Lake McCarrons boat launch. Each disposal trip will cost CRWD an additional $8.50. It

is difficult to predict how many trips it will take since it depends on the density of the vegetation, but

this cost is not expected to be significant.

Requested Action

Authorize the Board President and Administrator to execute an Agreement for the 2014 Lake

McCarrons Vegetation Harvesting Project with J&N Weed Harvesting not to exceed $31,766.04; subject

to the review and approval of the Ramsey County Attorney, and authorize Administrator to execute

change orders not to exceed $5,000.

\\CRWDC01\Company\06 Projects\McCarrons\2013 Veg Harvest\Board Meetings\Board Memo Lake McCarrons Harvesting Contractor Award.docx

June 4, 2014

V. Action Items

D) Approve Agreement with

Contractor for Lake McCarrons

Vegetation Harvesting

(Zwonitzer)


DATE: June 3, 2014 TO: CRWD Board of Managers FROM: Nate Zwonitzer, Urban BMP Specialist RE: Agreement with Barr Engineering for District 6 Natural Resource Inventory Background CRWD has been working with the City of St. Paul to include natural resource planning as part of the City’s small area planning process. The goal is to identify priority resource for protection and/or restoration. The natural resource inventory will also help to document current resource conditions so we can better address issues with redevelopment or property owner conflicts. A portion of District 6 was selected as a pilot area for the approach of developing a natural resource inventory (NRI) that could be included in a future small area plan. Issues In April CRWD requested proposals for the NRI from four consulting firms. All of the firms provided similar scopes and costs. Barr Engineering included a planner with experience doing similar small area plans as part of their project team, and ultimately they were the preferred consultant by CRWD and the City. While reviewing the proposal, CRWD staff and City staff decided to expand the boundary east to Interstate 35E in order to include additional resources and cover a larger area of District 6. This nearly doubled the study area. Barr Engineering’s estimate increased from $17,900 to $27,410, which requires CRWD Board authorization. This project would be funded from 325-Wetland, Stream, and Ecosystem Restoration (2014 budget $76,320). Requested Action Authorize the Board President and Administrator to execute an Agreement for the District 6 Natural Resource Inventory with Barr Engineering not to exceed $27,410; subject to the review and approval of the Ramsey County Attorney. Enclosure: Barr Engineering Proposal to Conduct a Natural Resource Inventory for an Area in District 6 \\CRWDC01\Company\06 Projects\District 6 NRI\Board Items\Board Memo D6 NRI Barr Agreement Authorization.docx

June 4, 2014 V. Action Items

E) Approve Agreement with Barr Engineering for District 6 Natural Resource Inventory (Zwonitzer)

Proposal to conduct a

Natural resource inventory for an area in District 6

Prepared for the Capitol Region Watershed District

Submitted by Barr Engineering Company May 29, 2014

Barr Engineering Company

Contents Firm information ...................................................................................................................................... 1

Wetland experience ......................................................................................................................... 1

Plant community mapping experience ........................................................................................ 2

Project approach and scope of work ................................................................................................ 2

Approach ........................................................................................................................................... 2

Scope of work .................................................................................................................................... 3

Budget by task ................................................................................................................................... 7

Schedule ............................................................................................................................................. 7

Project team ............................................................................................................................................ 8

Relevant project experience ............................................................................................................... 9

Appendix A: Resumes

Appendix B: Project examples

WR03P068.14 v2

Barr Engineering Company │ Page 1

Firm information Barr Engineering Co. is a Midwest-based firm headquartered in Minneapolis with over 700 employees located in Minnesota, North Dakota, Missouri, Michigan, and in Alberta, Canada. Barr was incorporated in 1966 and traces its origins to Adolph Meyer, one of the first hydrologists in the United States. We understand the interaction between the natural environment, built infrastructure, and the people that inhabit and use them. With that in mind, we integrate engineering and environmental expertise to help clients develop, manage, plan, design, and restore natural resources using affordable and long-term solutions that blend traditional engineering practices with an ecologically sound approach. Firm name: Barr Engineering Co. Address: 4700 West 77th Street, Suite 200 Minneapolis, MN 55435 Main contact: Michael Lamb Telephone: 952-842-3678 Fax: 952-832-2601 Email: [email protected]

Wetland experience When it comes to wetlands, Barr knows the issues, the regulators, and the advanced evaluation techniques and modeling tools that will provide the answers to meet regulatory requirements. We can assist you with cost-effective permitting, mitigation strategies and design options that let you grow and protect the environment. We’ll bring to your project what we’ve learned on projects large and small, as well as our experience negotiating with government agencies ranging from local to national. Specifically, Barr has seven Minnesota-certified wetland delineators along with nine other wetland ecologists who have more than 225 combined years of experience in the following areas: wetland identification, delineation, characterization, and mapping

Minnesota Routine Assessment Method (MnRAM) evaluation process (Barr has performed over 5,000 MnRAMs in the last five years.)

functions and values assessments of wetlands

identification and interpretation of local, state, and federal wetland regulations

wetland hydrology studies and evaluation of hydrologic impacts

evaluation and recommendations for modification of development proposals regarding wetland impacts

design of programs to avoid, minimize, and mitigate wetland impacts

preparation of municipal wetland management ordinances

wetland mitigation design, construction administration, maintenance, and monitoring

regulatory negotiations

historical wetland surveys


Plant community mapping experience Identifying and mapping plant communities takes an experienced eye and an understanding of landforms and the ecology of plant communities. Barr has experienced botanists and ecologists who have mapped plant communities all over Minnesota―from the Iron Range to the southeast blufflands to remote areas to the heart of the Twin Cities metro area. Our lead ecologist for this project is a certified senior ecologist and is on the Minnesota Department of Natural Resources (MNDNR) list of botanists qualified to conduct plant surveys. Other biologists and ecologists that Barr proposes to use on this project have extensive field and desktop vegetation mapping experience as well. Specifically, Barr’s natural resources experts have experience in the following areas: vegetation mapping following the MNDNR Ecological Classification System for Native Plant

Communities

mapping of more-developed urban and suburban areas using the Minnesota Land Cover Classification System, a MNDNR vegetative cover mapping protocol that can identify and distinguish between disturbed artificial cover types and remnant natural plant communities

assigning plant community quality rankings based on defensible, reproducible criteria

designing management plans for restoration of degraded areas and preservation of remnant high-quality communities

natural resources master planning

urban forestry inventory and management planning

identification of urban and suburban wildlife corridors for preservation and management

invasive species inventory and management plans

endangered, threatened, and special concern plant species survey and take permitting

Project approach and scope of work Remnant natural areas in urban areas are both precious and precarious. By conducting a natural resource inventory (NRI) for the targeted study area within District 6, Barr can help Capitol Region Watershed District (CRWD) understand, prioritize, protect, and restore your resources. Inventory data can help you and the City of Saint Paul by: informing land use planning and development

clarifying an area’s value with regard to water quality or wildlife habitat

identifying degraded areas and management problems

Approach Barr’s approach to this project will begin with the collection of all available desktop data as well as field collection. The project area is approximately 0.50 square miles in size and is located in the Trout Brook watershed, bounded by Arlington Avenue to the north, Maryland Avenue to the south, Rice Street to the west, and Jackson Street to the east. The collected NRI data will be summarized in a report making recommendations on ways to preserve, restore, and maintain irreplaceable open spaces.


Barr has 16 natural resources staff, many of whom are experienced with in the Minnesota Land Cover Classification System (MLCCS)—the standard method for conducting NRIs in the state—as well as the Minnesota Routine Assessment Method (MnRAM) evaluation process and the MNDNR Ecological Classification System. We make sure all data is presented clearly, concisely, accurately, and accessibly.

Scope of work Task 1 – Data collection and review After the Notice to Proceed, Barr will begin by compiling all relevant and publically-available geospatial and site-specific data for the study area and immediately surrounding areas. We will compile all data in a geospatial database and review the data for additional data needs. As a MNDNR-licensed user of the Natural History Inventory System (NHIS) database, we will consult the database for MNDNR records of sensitive species and unique plant communities. We will review all relevant data specified in the request for proposal (RFP) including, but not limited to, historic air photos (1940s air photo shown below in Figure 2), land cover data, watersheds, public works records (many of which Barr collected from the City of Saint Paul in summer 2013 for the Trout Brook Interceptor), easements, parcels, wetlands, soils, utilities, known areas of contamination (MPCA), topography, as well as anecdotal data. Barr will collect and review historic data—such as CRWD’s historic streams and wetlands data included in CRWD’s 2010 watershed management plan, which identifies this area as an historic stream corridor for Trout Brook—with associated wetlands. We have already collected some of this information, some of which is included in Figure 3. After a review of all publically-available data and data supplied by CRWD with the Notice to Proceed, Barr will attend a kick-off meeting (included in Task 5) with project stakeholders (CRWD, City, and District 6) and make a formal request for additional data to fill in any gaps. Deliverable: Barr will provide the project stakeholders with a list of layers and types of data needed to complete the desktop NRI data collection. All data compiled in Task 1 will be used for the desktop analysis in Task 2, and data collected will be used to develop the final report in Task 4. Task 2 – Desktop analysis Barr will review all data collected as part of Task 1 to determine areas for targeted field investigations. Barr will prepare a map showing all proposed targeted field investigation locations to CRWD for review and comment in preparation for Task 3. Additionally, all data collected in Task 1 will be analyzed for the final NRI report to help CRWD understand, prioritize, protect, and restore natural resources in this area.

Figure 1. CRWD’s 2010 watershed manage-ment plan identifies historic waters and natural corridors bisecting the study area. Historic Trout Brook is in maroon and likely locations of historic wetlands are shown in tan.


Deliverable: Barr will provide CRWD with a map showing the proposed targeted field locations in preparation for Task 3. Data, maps, and figures created during this desktop analysis will be included in the final report in Task 4. Task 3 – Field work and evaluation Using the agreed-upon list of targeted locations for field investigations from Task 2, Barr will perform field investigations at a maximum of 20 locations in the study area. Barr will coordinate the investigations with CRWD, the City, and District 6 for access and stakeholder involvement in the investigations, if desired. This task assumes that the stakeholders will coordinate all property-owner notification and coordinate access to each site prior to the commencement of field activities. Barr will use the site visit to confirm the results of the desktop analyses in Tasks 1 and 2, including confirming drainage divides and vegetative cover. Barr staff will perform wetland investigations using the MnRAM process. This task does not include wetland delineation. We will use handheld GPS units to collect location-specific data in the field and to confirm or adjust boundaries of plant communities identified in the desktop analysis. Per CRWD request, this task assumes that 10 soil borings to determine soil type and hydrologic function will be performed. Barr will perform these by digging standard soil pits, in conformance with the U.S. Army Corps of Engineers (USACE) wetlands delineation manual, to a minimum of 16 inches in depth and a typical width of 8 inches. The USACE manual requires that the soil-boring pit be dug deep enough to evaluate the top 16 inches of the soil column and to evaluate whether the water table is within 12 inches of the surface. Upland pits adjacent to wetland areas will help identify general non-wetland soil types in the project area. Soil pits are generally dug by hand with a sharpshooter (tile spade) or a soil auger. The data collected will be compiled for the final report. Barr will also conduct a vegetation survey for the entire project area, determining locations of noteworthy native plant communities, quality artificial or managed vegetation communities, and concentrations of non-native species. All data collected in this task will be used to complete the inventory and develop recommendations for natural resources management in Task 4. A progress meeting (included in Task 5) will be held with CRWD staff and project stakeholders (at CRWD’s discretion) to present the preliminary findings of Tasks 1, 2, and 3. Deliverable: Barr will provide CRWD with a map showing the proposed targeted field locations in preparation for Task 3. Data, maps, and figures created during this desktop analysis will be included in the final report in Task 4.

Figure 2. Review of historic air photos, such as this 1940s air photo of the project site from the MNDNR, can assist in identifying historic wetland areas, and identify opportunities for future restoration

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Task 4 – Report and recommendations (deliverable) All analysis, mapping, and inventory conducted as part of Tasks 1, 2, and 3 will be compiled into a final report that uses wetland, soil, topography, hydrology, vegetation, and land cover data to: make recommendations for site management

protect and enhance the existing natural resources compatible with adjacent natural resources

identify the best quality plant communities currently on the site and develop enhancement plans to expand and connect these areas, similar to the natural resource management planning that Barr provided for the cities of Burnsville and Mendota Heights and for Washington County (see project experience on pages 9-10 and Appendix B)

identify concentrations of non-native invasive species with recommendations for control Barr’s planning staff will review and comment on the final report, refining it to be compatible with the City’s small area planning process. Barr’s planning staff has led many municipal small area planning efforts, including Minneapolis’ Uptown small area plan. A draft report will be provided to CRWD for one initial round of comments. Barr will incorporate CRWD’s comments into a final draft that will be distributed to the project stakeholders for one final comment period before the final report is issued. A final report meeting with project stakeholders (included in Task 5) will be facilitated by Barr staff. The final report will include all data gathered in Tasks 1, 2, and 3 and will be provided in hard copy and digital form. This task assumes that a maximum of four (4) hard copies will be provided to CRWD for distribution at CRWD discretion. Upon conclusion of the project, two additional meetings (included in Task 5) will be facilitated by Barr staff: presentation to District 6 Planning Council

presentation to CRWD Citizen Advisory Committee OR CRWD Board of Managers (only one meeting) Deliverable: Barr will provide a PDF copy and four (4) hard copies of the final report, including all data and maps collected and created as part of Tasks 1, 2, and 3. Barr will also provide all GPS data collected during the field work, as well as electronic files of all photos taken. Task 5 – Project coordination and meetings Barr has a long history of working closely with CRWD, the City of Saint Paul Planning and Economic Development staff, and various local stakeholders in the City. Barr will assist CRWD with project coordination throughout the project and assist CRWD with all meeting facilitation. This project includes no more than five (5) meetings, including: kick-off meeting with CRWD staff, City of Saint Paul staff, and representative from District 6 Planning

Council (Task 1)

progress meeting to present preliminary findings (after Task 3)

final report meeting (Task 4)


presentation to District 6 Planning Council (after Task 4)

presentation to CRWD Citizen Advisory Committee OR CRWD Board of Managers (after Task 4) Deliverable: Barr will provide agendas, meeting facilitation, and bi-weekly project updates throughout the duration of the project.

Budget by task

Task Est. Hours Labor

Subtotal Expenses Total Cost

1.0 Data collection and review 25 $2,730 $0 $2,730

2.0 Desktop analysis 29 $2,675 $0 $2,675

3.0 Field work and evaluation (not including soil borings) 57 $5,145 $60 $5,205

4.0 Report and recommendations 38 $3,940 $100 $4,040

5.0 Project coordination and meetings 31 $4,410 $150 $4,560

Subtotal 180 $18,900 $310 $19,210

3B 20 Soil Borings and Analysis 90 $7,800 $400 $8,200

Total 270 $26,700 $710 $27,410

Schedule

Task (meetings in italics) Est. Completion Date

1.0 Data collection and review kick-off meeting

Mid June 2014 Early June 2014

2.0 Desktop analysis Late June 2014

3.0 Field work and evaluation (not including soil borings) progress meeting

Early July 2014 Early July 2014

4.0 Report and recommendations final report meeting

July 31, 2014 Late July 2014

5.0 Project coordination and meetings presentation to District 6 Planning Council presentation to CRWD Citizen Advisory Committee OR CRWD Board of Managers

August 2014 August 2014 August 2014


Project team Barr proposes the following multi-disciplinary and experienced project team. Most of our team members have worked on a number of CRWD projects throughout the District. Our team has the capacity to meet the proposed project schedule, and our deep bench of ecologists will result in your project being delivered on time.

Role: Principal in charge

Kurt Leuthold, PE, LEED AP Hourly Rate: $160 Vice President, Senior Civil Engineer BS, Civil Engineering Availability during project: 10 percent Kurt has 26 years of experience on projects involving hydrology, hydraulics, stormwater management, and land development. He has designed surface-water management projects for public and private clients. Kurt specializes in designing infrastructure with an eye for ecology. He understands the interaction of water, soils, and plants, and how urban infrastructure can support biodiversity and environmental protection.

Role: Project manager, urban planning

Michael Lamb, AICP, CNU-A Hourly Rate: $145 Senior Planner Master of Architecture in Urban Design Availability during project: 40 percent Michael has over 25 years of leadership and experience in development, management, and delivery of urban design and planning services in the City of Saint Paul and throughout the upper Midwest to municipalities and other local units of government, park boards, planning agencies, developers, and colleges and universities. He has led and collaborated on significant planning and redevelopment efforts in the Twin Cities region that have incorporated smart-growth, transit-oriented, and new-urban principles and patterns.

Role: Ecological survey Coordination and QA/QC

Daniel Jones Hourly Rate: $130 Senior Environmental Scientist, Certified Senior Ecologist MS, Biology Availability during project: 25 percent Daniel has 20 years of experience in natural resource inventory and management, and is a senior ecologist certified by the Ecological Society of America. His experience includes work for state, federal, and local government agencies; utility and mining companies; and private landowners and developers. Daniel’s expertise includes vegetation inventory and management, rare plant surveys, wetland delineation, plant community classification, natural resource permitting and regulation, vegetation sampling methodology, aerial photo interpretation, and project management.


Role: Ecological survey/GIS

Brendan Dougherty Hourly Rate: $65 Landscape Ecologist Master of Landscape Architecture Availability during project: 75 percent Brendan recently joined Barr with a Master of Landscape Architecture. Prior to joining Barr, he worked at Applied Ecological Services (AES) and the Minnesota Board of Water and Soil Resources, identifying and surveying vegetation communities, delineating vegetation communities using handheld GPS systems, and creating GIS maps. He also has natural resource management experience serving as a restoration field crew leader.

Role: GIS

Jim Lind Hourly Rate: $85 GIS Specialist MS, Geographic Information Science Availability during project: 25 percent Jim has six years of experience in geographic information science as well as a background in project management, model design, and cartography. He develops web-based mapping products for accessing, sharing, and collecting GIS data in the field; designs tablet-based GIS field data collection systems for site-specific projects; and maintains both large- and small-scale databases for use in developing map products as well as storing and submitting GIS data.

Role: Technical resource, QA/QC

Nathan Campeau, PE, CFM, ENV SP Hourly Rate: $125 Senior Water Resources Engineer MS, Civil Engineering Availability during project: 20 percent Nathan has 12 years of water resources experience in hydrologic and hydraulic analysis, flood risk management design, green infrastructure, and GIS. He works on low-impact site design, stormwater quality analysis and improvement, and flood analysis and mitigation projects. He led the development of the Ford Plant sustainable stormwater feasibility report and managed several green infrastructure projects along the Green Line Light Rail Transit in Saint Paul.

Relevant project experience natural resource inventory and management plan City of Eden Prairie ▪ Minnesota

Barr researched, wrote, and designed a management document to help the City of Eden Prairie preserve, restore, and set priorities for its seven varied conservation areas. After conducting plant community surveys for each site, we compiled exhaustive species lists and created GIS maps detailing plant communities and their extent of degradation. A summary of management priorities and specific management recommendations for each site accompanied the lists and maps—including preserving the highest quality areas by managing invasive species and eliminating erosion as well as improving diversity and reducing invasives at less intact sites. Illustrated factsheets on eight common invasive plants help the city educate volunteer groups.


natural resources management plan City of Mendota Heights ▪ Minnesota

After helping the city secure a grant from the MNDNR, Barr conducted field assessments to determine the scope of invasive species, identify areas for potential restoration, and assess other ecological issues, such as erosion and destructive-use patterns. Findings were then digitized for use in GIS maps and incorporated into an easy-to-read report that offers clear direction on how to improve the city’s natural resources and suggests ways to restore ecological communities, encourage habitat connections, protect water quality, and improve the appearance of city properties. The plan sets out a phased approach, with defined priorities for citizen education, invasive plant control, demonstration projects, and restoration efforts. A detailed guide to invasive plant identification and control is included as an appendix, along with local resources for funding and technical support. natural resources inventory and stewardship recommendations Washington County Parks ▪ Denmark Township, Minnesota

Barr surveyed Denmark Township’s 27 square miles to assess the status of the area’s natural resources. While the township boasts significant undeveloped areas―many of them adjacent to the St. Croix River―past land management practices have adversely impacted wildlife habitat, woodland quality, and soil stability. Employing the MLCCS, Barr created a detailed natural resources inventory, resulting in maps that show resource quality rankings, invasive species distribution, wildlife habitat, and priority areas for restoration. The illustrated report includes stewardship recommendations and strategies for protecting the township’s natural resources including regulatory initiatives, legal/contractual options, and incentive and education programs. Additional examples of Barr project experience can be found in Appendix B.

Barr provided a detailed map of buckthorn invasion, prioritized areas for eradication, and offered detailed management guidelines.

Medium- and high-quality wildlife habitat (yellow and orange, respectively) were determined using GIS and data gathered during the resource inventory.


Appendix A: Resumes

KURT A. LEUTHOLD, PE, LEED AP Vice President, Senior Civil Engineer


Experience Kurt Leuthold has 26 years of experience in hydrology, hydraulics, stormwater management, and land development. He has designed surface-water management projects for cities, water management organizations, watershed districts, private industries, developers, and universities and colleges. Kurt specializes in designing infrastructure with an eye for ecology. He understands the interaction of water, soils, and plants, and how urban infrastructure can support biodiversity and environmental protection. His project experience includes:

Designing a variety of linear stormwater best management practices (BMPs) along Riverside Avenue in Minneapolis, Minnesota, that provide both stormwater treatment and add green space and function for pedestrians. A small park and plaza area were constructed as well as a grass swale with trees and underground infiltration with innovate pre-treatment filter boxes. The BMPs extend for approximately three blocks and fit well within the highly urbanized streetscape.

Designing a flood control and water quality improvement project in Minneapolis, Minnesota, that completely removed four blocks of 37th Avenue North and replaced it with a pedestrian greenway, nine biofiltration basins, underground flood storage, and new trees. Another two blocks were removed and replaced with one-way streets and bike lanes, in addition to biofiltration basins and underground flood storage.

Designing a linear stormwater infiltration system along 54th Street in Minneapolis, Minnesota, using pervious pavement and underground storage. The system uses subsurface infiltration of runoff under the boulevards of both sides of the street, running the full 1,500-foot length of the project and incorporating pervious concrete pavement, underground storage in the voids of crushed concrete and in perforated polyethylene pipes, catch basin sumps, and skimmers.

Designing 17 stormwater infiltration basins, or rainwater gardens, in Burnsville, Minnesota. Basins were installed in an existing neighborhood to manage stormwater running off streets and driveways. Work included leading a paired watershed study to confirm the basins were protecting water quality in nearby Crystal Lake.

Designing a stormwater infiltration system for 7-Sigma Inc., a manufacturing company in Minneapolis, Minnesota. Stormwater draining from parking lots, sidewalks, and roofs is routed to infiltration basins. The project won the 2006 Minneapolis Blooms garden-of-the-year award.

Providing engineering design for the Kwanzaa Church bioretention basin. This basin was planted as a colorful garden and accepts roof water from the church through a network of pipes connected to the gutter system.

Designing alternative stormwater management techniques for Minnetonka’s city hall and civic center. Led efforts to redevelop three large parking lots and several access roads to include stormwater infiltration basins, or rainwater gardens, and vegetated stormwater swales.

Completing plans and specifications for Ramsey-Washington Metro Watershed District’s new headquarters in Little Canada, Minnesota. Worked closely with the

KURT A. LEUTHOLD continued


architect and Barr’s landscape architect to design a series of infiltration BMPs to prevent runoff from reaching an adjacent creek. BMPs included a porous bituminous parking lot and several rainwater gardens spread out across the property. A monitoring system was installed, and data confirms near-zero runoff.

Completing plans and specifications for the Mississippi Watershed Management Organization’s new office building including all utilities, paving, and extensive stormwater BMPs (a 4,000 gallon cistern, tree boxes, multiple infiltration basins, and pervious pavers).

Preparing an ecologically based stormwater management plan for Lebanon Hills Regional Park in Dakota County to solve flooding problems while protecting the park’s water resources and native plant communities from the adverse effects of stormwater runoff. The plan covers approximately 2,000 acres and addresses the concerns and limitations of numerous stakeholders, including three municipalities and the Minnesota Department of Natural Resources.

Serving as editor and primary technical advisor for the Minnesota Small Site BMP Manual. This manual, coordinated by the Metropolitan Council, guides users through the selection and design of 40 innovative stormwater treatment practices. It also contains local stormwater ordinances, practical hydrologic information, and a list of sites in the Twin Cities metro area where these practices have been implemented. The manual focuses on techniques for cold climates and sites less than five acres in size.

Education BS, Civil Engineering, Michigan Technological University, 1987

Registration Civil Engineer: Minnesota, Michigan, Wisconsin

Certification LEED Accredited Professional, U.S. Green Building Council

MICHAEL LAMB, AICP Senior Planner


Experience Michael Lamb has over 25 years of leadership and experience in development, management, and delivery of urban design and planning services in the Twin Cities and throughout the upper Midwest to municipalities and other local units of government, park boards, planning agencies, developers, and colleges and universities. He has led and collaborated on significant planning and redevelopment efforts in the Twin Cities region that have incorporated smart-growth, transit-oriented, and new-urban principles and patterns. His experience at Barr includes:

College of St. Benedict sustainable landscape plan – St. Joseph, Minnesota Target northern campus master plan – Brooklyn Park, Minnesota

Complete streets/place-making principles – Richfield, Minnesota

Ramsey-Washington Metro Watershed District watershed management plan update – Ramsey County and Washington County, Minnesota

City of St. Louis Park environment and sustainability commission technical support – St. Louis Park, Minnesota

City of South St. Paul levee extension plan – St. Paul, Minnesota

Michael’s prior project experience includes:

Greater Lowertown master plan – St. Paul, Minnesota Complete streets/place-making principles – Richfield, Minnesota

GrandView development framework – Edina, Minnesota

Target northern campus master plan – Brooklyn Park, Minnesota City comprehensive sustainability plan – Burnsville, Minnesota

Historic Millwork warehouse district master plan – Dubuque, Iowa

Greenbush Vilas Revitalization Strategy – Madison, Wisconsin West Seventh Street redevelopment charrette – St. Paul, Minnesota

West Side Flats master plan – St. Paul, Minnesota

Hillcrest smart growth plan – St. Paul, Minnesota Central Avenue small area plan and design guidelines – Minneapolis, Minnesota

Cedar Riverside small area plan – Minneapolis, Minnesota

Uptown small area plan – Minneapolis, Minnesota Riverdale transit-oriented development design guidelines – Coon Rapids, Minnesota

Town Center master plan (Excelsior & Grand) – St. Louis Park, Minnesota

West End development master plan – St. Louis Park, Minnesota Northeast diagonal transit-land use study – Ramsey and Hennepin Counties Regional

Rail Authority, Minnesota

University District Alliance community engagement – Minneapolis, Minnesota Downtown riverfront plan – Chippewa Falls, Wisconsin

MICHAEL LAMB continued


Design guidelines

Uptown small area plan development guidelines – Minneapolis, Minnesota

Cedar Riverside small area plan guidelines – Minneapolis, Minnesota

Mixed-use development ordinance – Arden Hills, Minnesota Riverdale station TOD guidelines – Coon Rapids, Minnesota

Loring Hill form-based guidelines – Minneapolis, Minnesota

Midtown greenway land-use and development guidelines – Minneapolis, Minnesota

Corridor planning

Lowry Avenue corridor development plan – Minneapolis, Minnesota

Northstar commuter rail housing opportunities – Anoka County, Minnesota

Hiawatha Light Rail Transit station design – Minneapolis, Minnesota Hiawatha Light Rail Transit community workshop – Minneapolis, Minnesota

Central Corridor Light Rail Transit Lexington station area plan – St. Paul, Minnesota

Central Corridor Light Rail Transit Snelling station area plan – St. Paul, Minnesota

Stoughton Road revitalization plan – Madison, Wisconsin Uptown small area plan – Minneapolis, Minnesota

West Broadway corridor plan – Minneapolis, Minnesota

Central Avenue small area plan – Minneapolis, Minnesota Marshall Street revitalization plan – Minneapolis, Minnesota

15th Avenue urban design study/plan – Minneapolis, Minnesota

Education Master of Architecture in Urban Design, University of Colorado, 1988

BA, Urban Studies, University of Alabama—Birmingham, 1984

Certifications American Institute of Certified Planners (AICP)

Congress for New Urbanism—Accredited (CNUa)

Form-Based Codes Institute (FBCI)

Affiliations American Planning Association

Congress for New Urbanism

DANIEL W. JONES Senior Environmental Scientist, Certified Senior Ecologist


Experience Daniel Jones has two decades of experience in natural resource inventory and management and is a senior ecologist certified by the Ecological Society of America. His work includes state and federal environmental review, permitting, sensitive-plant-species surveys, natural resource inventories, wetland delineations, permitting assistance, mitigation design, and post-construction monitoring. He also documents wetlands, vegetation, wildlife, and rare-species habitat for permitting projects and has managed projects for utility companies, private developers, and local, state, and federal government agencies. Daniel’s project work includes:

Mapping natural communities, areas of invasive species, and sensitive areas in city of Burnsville parks as part of the development of a natural resources master plan. Rated ecological quality of sensitive areas, and then helped develop management activities for removing invasive species and protecting high-quality areas in the parks. Drafted prairie management plan for prairie and savanna remnants in the city.

Mapping land cover in the Rockford Township area using the Minnesota Land Cover Classification System (MLCCS) as part of a land development ordinance for the City of Hanover. Also identified and rated ecological resources to create a map intended to develop an ecological corridor to be incorporated into the new ordinance.

Identifying and mapping spring ephemeral plant communities and wetlands in the Minnehaha Creek lower glen area as part of preliminary ecological studies for restoration planning for Minneapolis Park and Recreation Board.

Conducting rare-plant-species surveys for several iron ore and polymetallic mining clients and negotiating appropriate mitigation with the Minnesota Department of Natural Resources (MN DNR). Work included conducting field surveys to determine the presence of federal- and state-listed plant species; documenting listed species using GPS and digital photography; developing botanical survey reports that include the habitats, locations, and plant associations of listed species; and mapping MN DNR native-plant communities.

Documenting wetlands, general vegetation, fish and wildlife, and rare-species habitat for an energy facility siting permit for Otter Tail Power’s Big Stone II project in South Dakota. Work included writing and editing natural resource sections of the permit and conducting field surveys for wetlands and for federally endangered western-prairie fringed orchids, reviewing and editing natural resources of the project EIS, and preparing technical reports on the impact of groundwater use on area wetlands.

Co-authoring Cumulative Effects Analysis of Wildlife Habitat and Threatened and Endangered Wildlife Species in support of the EIS for the expansion of the Keetac taconite mining facility near Keewatin, Minnesota. The comprehensive study analyzed wildlife habitat along an approximately 90-mile corridor following the Mesabi Iron Range; determined the cumulative effects of past, current, and future mining activities; and identified corridors for wildlife movement across the Iron Range. Also conducted sensitive plant species survey of state- and federal-listed plants in support of the EIS.

DANIEL W. JONES continued


Prior to joining Barr, Daniel’s experience included:

Writing and managing the Seattle Discovery Park vegetation management plan, a comprehensive park plan for the 527-acre Discovery Park in west-central Seattle. The plan was coordinated with Seattle’s Department of Parks and Recreation staff and local citizens’ groups through two public meetings. Work included designing survey protocols, leading survey crews for a vegetation inventory of the park, compiling and analyzing data to map vegetation communities and to classify them into cover types, and using native-plant palettes corresponding to these cover types for park restoration and enhancement.

Preparing the offsite wetland-mitigation plan for the 228th Street Bridge construction over the Green River in Kent, Washington. The mitigation plan included assessing existing wetlands, evaluating the functional impact of construction on existing wetlands, and designing mitigation plans for the wetlands and adjacent upland buffers at three separate locations. Negotiated with the Washington Department of Ecology and the U.S. Army Corps of Engineers (USACE) to obtain input and approval on the suitability and design of the mitigation sites.

Serving as principal author, project manager, and mitigation designer for a wetland- and buffer-impacts study associated with a sewer-line installation in Sultan, Washington. Worked with the city, the USACE, the Washington Department of Ecology, and local landowners to develop a restoration and management plan that effectively protected and managed wetland, upland, and mesic native-vegetation communities.

Conducting wetland delineations and function assessments, threatened/endangered species habitat evaluations, and general biological surveys for highway and local road projects within the six-county Chicago area for the Illinois Department of Transportation (IDOT). Performed prairie and savanna remnant identification and coordinated with state and federal agencies and organizations to protect and manage resources affected by IDOT highway and local road projects. Prepared approximately twenty wetland reports and thirty biological survey reports.

Education MS, Biology (Ecology and Evolution), University of Oregon, 1997

BS, Botany and Pathology, Michigan State University, 1988

Certification Certified Senior Ecologist, Ecological Society of America

Affiliations Ecological Society of America

Society for Ecological Restoration

Minnesota Native Plant Society

BRENDAN H. DOUGHERTY Landscape Ecologist


Experience Brendan recently joined Barr with a Master of Landscape Architecture from the University of Minnesota, where he focused on integrating his environmental background with the study of sustainable landscape design. Prior to joining Barr, he gained experience as a restoration field crew leader with Applied Ecological Services in Prior Lake, Minnesota, where his responsibilities included:

Managing restoration implementation activities such as site surveying, mapping, planting, seeding, erosion control, prescribed burns, and equipment operation.

Assisting with planting designs.

Brendan also served as a wetland monitoring intern at the Minnesota Board of Water and Soil Resources in St. Paul, where his work included:

Identifying and surveying vegetation communities for the Natural Resources Conservation Service Wetlands Reserve Program.

Delineating vegetation communities using handheld GPS systems.

Creating GIS maps from collected data to be used in restoration management.

Developing content for a wetland plant identification guide.

Assembling online documents summarizing the functional benefits of native plants.

He also worked at Great River Greening, a non-profit organization that leads community-based restoration of natural areas in the Twin Cities area. As a lead restoration technician, Brendan specialized in prairie, wetland, and woodland restoration. His responsibilities included:

Assisting with project development and implementation, scheduling, updates to company environmental policies, vegetation inventory, and mapping.

Coordinating with project managers, businesses, agencies, and private residents to accomplish project goals and resolve potential concerns.

Managing volunteer events.

In addition, Brendan served as a Conservation Corps program manager at the Community Design Center of Minnesota (Urban Roots) in St. Paul, where he was responsible for:

Supervising a crew of 14- to 18-year-old students working on restoration projects on St. Paul’s East Side.

Designing rain gardens to be installed by interns.

Developing environmental education programs for interns.

Education Master of Landscape Architecture, University of Minnesota, 2013

BA, Biology (Minor: Art History), Hamline University, 2008

Software Adobe Creative Suite, Microsoft Office Suite, ArcGIS, Sketch Up, AutoCAD, CSS/HTML

JIM LIND MS Geographic Information Science, GIS Specialist


Experience Jim has six years of experience in geographic information science, as well as a background in project management, model design, analysis, web-based GIS, and cartography. He joined Barr after managing the analytics department for a consulting company focused on mapping, analysis, and data reporting. His project work at Barr includes:

Administrating an ArcGIS for Server system used for designing and implementing web-based mapping services.

Developing web-based mapping products for accessing, sharing, and collecting GIS data in the field.

Delivering technical demonstrations for large groups that exhibit the capacity of GIS web-mapping services as well as ArcGIS for Desktop tools and functionality.

Designing tablet based GIS field data collection systems for site specific and corridor related projects.

Providing documentation of GIS products and processes for use in SOP development as well as proposals and technical memorandums.

Maintaining both large and small scale databases across a network for use in developing map products as well as storing and submitting GIS data.

His experience prior to joining Barr includes:

Creating and maintaining GIS databases that integrate private, public, and third-party data to help clients identify not only previously unseen correlations, but also challenges and opportunities.

Presenting the results of GIS data analysis and reporting to public and private entities for training purposes and decision making.

Increasing efficiency and accuracy of data reporting by authoring Python programming scripts to automate data-reporting processes.

Designing and producing maps and graphics, as well as in-depth data reports, for clients to use in strategic-planning efforts and public presentations.

Redesigning a regional-scale GIS database to improve the efficiency of analysis and map production.

Education MS, Geographic Information Science, University of Minnesota–Twin Cities, 2008

BA, Geography, University of Minnesota–Duluth, 2006

AAS, Natural Resources, Itasca Community College, 2003

Technology ArcGIS for Desktop , ArcGIS for Server, ArcGIS Viewer for Flex, ArcGIS Online , ArcMap, ArcCatalog, ArcToolbox, Spatial Analyst, 3D Analyst, Maplex, Network Analyst, ArcScan, Idrisi Andes 15, Erdas Imagine, GPS-Photo Link, Sokkia Axis and Trimble GPS equipment, and some SQL, VBA, and Python programming

NATHAN CAMPEAU, PE, CFM, ENV SP Senior Water Resources Engineer


Experience Nathan has 12 years of water resources experience in hydrologic and hydraulic analysis, flood risk management design, green infrastructure, and geographic information systems (GIS). A certified floodplain manager, he works on low-impact site design, stormwater quality analysis and improvement, and flood analysis and mitigation projects. His project work includes:

Designing a series of rainwater gardens and stormwater planters for the Green Line Light Rail Transit in St. Paul. The stormwater treatment systems were installed in boulevards in side streets adjacent to the corridor and incorporate public art to enhance the pedestrian experience and complement the urban nature of the corridor. Served as project manager, shepherding the project through the city review processes.

Developing a sustainable stormwater master plan for the Ford Plant in St. Paul. Worked with city staff and Ford to assess the watershed conditions and develop concepts that could enhance water quality, promote connectivity, and provide habitat while promoting redevelopment of a brownfield. Presented the sustainable conceptual plan at several city meetings and to a state agency.

Preparing memoranda and report, and presenting information to the Minimal Impact Design Standards (MIDS) work group and redevelopment/linear technical team of the Minnesota Pollution Control Agency

Designing the realignment of approximately 800 feet of large-diameter stormwater box culvert, including 24-hour installation of culvert underneath three sets of active railroad tracks. The project required coordination with multiple local, state, and federal agencies. Managed construction observation and administration services.

Managing development of two industry-specific stormwater best management practices (BMP) manuals on the application of green infrastructure in the electric power industry. Assisted with development of a third industry-specific BMP manual.

Modeling a large urban area in North Minneapolis that is subject to frequent flooding. Provided low-impact design alternatives to minimize flooding and promote water quality. Developed several innovative concepts to reduce flooding in a dense residential area where soil conditions did not allow the use of many low-impact design alternatives. Presented solutions at public meetings and met with affected residents.

Building XP-SWMM models of large urban and suburban areas and integrating streams, lakes, wetlands, and storm sewers into one model. Built an XP-SWMM model for a western Twin Cities suburb covering 4,000 acres and helped integrate the model with other models to analyze tens of square miles throughout the western suburbs.

Designing rainwater gardens from initial conceptual design through modeling to construction assistance to treat and infiltrate stormwater. Provided assistance to city staff on selecting appropriate low-impact stormwater BMPs to treat stormwater and reduce flood risk.

Designing stormwater ponds to treat urban runoff and protect water quality in lakes and rivers. Designed and managed construction of a two-cell pond system to remove phosphorus from stormwater.

NATHAN CAMPEAU continued


Analyzing and designing repairs for an eroded gully in St. Paul, Minnesota that was undergoing significant erosion and damaging residents’ property, designed a solution to reduce peak velocities in the ditch and minimize the potential for erosion while minimizing impact. Coordinated with two cities and a watershed district.

Education MS, Civil Engineering (environmental engineering concentration), The George Washington University, 2003

BS, Civil Engineering (environmental option), The George Washington University, 2001

Registration Professional Engineer: Minnesota

Certification Certified Floodplain Manager, Association of State Floodplain Managers

Envision™ Sustainability Professional, Institute for Sustainable Infrastructure


Appendix B: Project examples


natural resources master plan City of Burnsville ▪ Minnesota

The Burnsville natural resources

master plan assessed the current

state of natural resources in the city

and made recommendations for

their preservation and restoration.

Barr conducted an on‐site survey of

the ecological quality of its natural

areas. The entire city―including

private, developed, and

undeveloped lands―was mapped for land cover type. The plan recommends actions to protect and

enhance the city’s vulnerable natural resources, and makes recommendations for monitoring, land

management, and restoration. Included is an extensive urban forestry component, which evaluates and

makes recommendations for street trees, developed park trees, and natural area forests. Also included

are recommendations for Burnsville’s various natural‐resources‐related plans and policies in order to

synchronize the effort to manage natural resources.

urban forest inventory and management plan 3M ▪ Maplewood, Minnesota

3M hired Barr to conduct a tree inventory, make urban forest management recommendations, and establish an Emerald Ash Borer response strategy to plan for the arrival of the aggressive insect. We collected data for each tree on campus with 42 tree species identified during the inventory ranging in diameter from one to over 35 inches and in height from less than 10 feet to over 60 feet. We determined that 3M's urban forest was in good condition, but suffered from a host of structural defects and physical injuries. We recommended a three-year pruning rotation where one third of the site would be pruned each year. This would reduce costs of removing damaged trees and replacing dead trees. Barr also created an interactive Google Earth data entry system so ground maintenance staff could quickly enter data on the status of each tree, allowing 3M to have a continuously accurate tree inventory.

3M Center is home to 42 tree species.

A buckthorn management strategy was established in the natural resources master plan.


arboretum wildlife corridor Carleton College ▪ Northfield, Minnesota

Following work on a master plan for Cowling Arboretum, Barr undertook a project focused on a strip of land connecting the upper and lower segments of the property. We designed an ecological corridor for wildlife movement that accommodated pedestrians and recommended reinforcing the corridor’s integrity by establishing low-maintenance native vegetation in the adjacent recreation center. A pedestrian circulation plan features interpretive nodes to educate visitors about the natural and cultural history of the site.

The corridor links the lower and upper arboretum for the benefit of both wildlife and pedestrians.


DATE: May 28, 2014

TO: CRWD Board of Managers and Staff

FROM: Mark Doneux, Administrator

RE: June 4, 2014 Administrator’s Report

Administrator Approved or Executed Agreements

Consultant Services Agreement with Applied Environmental Services for consultation on the Districts Safety

Program - $4,500.

Grant Agreement with Great River School for BMP design and construction- $110,000.

Master Agreement for Arbitrage Monitoring Services between Ehlers and CRWD.

Board Approved or Executed Agreements

Consultant Services Agreement with DTZ Real Estate - $26,100.

Grant Agreement with Saint Paul Public Schools for design and construction of BMPs at Chelsea Heights

Elementary - $16,534.

Consultant Services Agreement with Geosyntec Consultants for potential OptiRTC as part of the Upper Villa

Park Project - $67,043.

General updates including recent and upcoming meetings and events

The Arlington-Rice RSVP boulevard garden planting event will be Saturday, May 31, 2014. Staff will

coordinate the event with help from Great River Greening and District Six Planning Council.

Nominations for Blooming Saint Paul Award are being accepted through June 27, 2014. This is the second year

the CRWD has sponsored the Clean Water Award category that recognizes projects that demonstrate

stormwater runoff reduction, pollution prevention or water reuse.

1.) Upcoming events and meetings

A) The Annual CAC tour is Wednesday June 11, 2014 from 5:30 - 9:00 pm. There is no CAC meeting in

June.

B) Next Board meeting is Wednesday June 18, 2014 from 6:00 – 8:00 pm.

W:\04 Board of Managers\Correspondence\Administrator's Report 2014\Administrator's Report 6-4-14.docx

Revised board of managers packet 6 4 2014

Documents

Transcript of Revised board of managers packet 6 4 2014