Site Damage from Timber Harvest - West Virginia University...(Mechanized Harvesting Site) 34 acres...
Transcript of Site Damage from Timber Harvest - West Virginia University...(Mechanized Harvesting Site) 34 acres...
WDSC 422 Managing Site Impacts 1
Site Damage from Timber Harvesting
Timber harvest can affect a site and its productivity by impacting:
SoilWaterMicroclimateFlora and faunaAesthetics and other concerns
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What Are We Concerning?
Even the BEST and most careful timber harvest does have impacts.The point is to
minimize the detrimental impacts and optimize the beneficial impacts
What we concern:How do we assess damage to the site?How do we prevent damage?How do we correct or ameliorate damage?
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Soil Impacts
Any access or entry into a stand has the potential to disturb the forest floor and soil.This potential is increased with harvesting activities, especially skidding.Each time a skidder drives across a site, it alters the soil, generally by
compacting and/or rutting the soil
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What is Soil Compaction?
Reduction in soil volume resulting from the application of force.Measured in bulk density increase.
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Soil Compaction
Four things to be remembered about compaction:
The greater the load, the greater the potential for compaction.Loam-textured soils are more susceptible to compaction.Most compaction occurs during the first several passes across a site.Moist soils are compacted more easily.
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CompactionGround Pressure vs. Tire Inflation
0
20
30
40
50
6070
10
500 1000 1500 2000 2500Load (lbs.)
Ground Pressure (lbs./sq. in.)
59 psi
29 psi
15 psi
For pneumatic tires:
• Surface load is closelyrelated to tire pressure.
• Low pressure tires havelower potential forcompaction than highpressure tires.
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CompactionBulk Density
Compaction potential is the greatest when soils are wet but not saturated because:
soil strength is lower, and open pores are available into which finer particles can be packed
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CompactionBulk Density (g/cm3)
Undisturbed Intermediate Heavily Disturbed
Soil Type
0.75 0.92 1.14 L. Sand1.21 1.42 1.55 S. Cl Sand1.57 1.82 1.86 S. Loam1.14 1.36 1.52 S. Cl Loam1.36 1.43 1.55 S. Cl Loam1.03 1.01 1.17 Loam1.25 1.5 1.5 Loam
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CompactionSoil Compaction vs. No. of Passes
0
0.95
1.0
1.05
1.1
1.151.2
0.9
0 2 4 7Number of Passes
Bulk Density (g/cm3)1.25
1 3 5 6 8 9 10
Once soil strengthhas increased tosupport a load,additional passeshave little additional effect.
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Compaction
Most compaction occurs during the first few passes.It is usually best to concentrate on skidder activity or use designated skid trails.Skid trail can range from about 20% to more than 50% of the harvested area.Roads and landings occupied 10.3% on Appalachian logging sites (Kochenderfer 1977).
0
0.951.0
1.051.1
1.151.2
0.9
0 2 4 7Number of Passes
Bulk Density (g/cm3)1.25
1 3 5 6 8 9 10
Once soil strengthhas increased tosupport a load,additional passeshave little additional effect.
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CompactionHow can we prevent or minimize damage?
Plan ahead! Five key recommendations:Know the soil on which you operate and plan accordinglyMatch equipment to siteMinimize traffic intensityFollow BMPs and any restrictions that may applyConserve organic matter and nutrients
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Water Impacts
Timber harvest can affect the hydrology of a site, especially:
the quantity, the quality, and the timing of water within or from a watershed
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WaterDamage Assessment and Control
Ongoing silvicultural activities such as timber harvesting are non-point sources of pollution rather than point sources. Their impacts, dispersed across the landscape, are much tougher to assess and control than impacts from most point sources.
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WaterDamage Assessment and Control
In West Virginia, WV DOF assesses compliance with WV’s BMPs by:
visiting sites, observing operations from the air, and conducting surveys.
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WaterDamage Assessment and Control
Although the BMPs are voluntary guidelines, the loggers should follow them. If the sediment is originated from your site, and you have not made a legitimate attempt to protect the water resource, you can be
stopped, fined, and prosecuted.
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WaterHow can we protect the water resource from a harvest?
Schedule the harvest to avoid the wet seasonPlan access carefully, and minimize traffic intensities on the site
Landings, decks, staging and servicing areas need to be considered too.
If you must cross the stream, what kind crossing will you need?
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Methods of Determining Soil Compaction and Disturbance
Visual estimateVisual simulation
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Factors Affecting Soil Disturbance/Compaction
Three major factors:
Soil typeLogging systemMoisture condition
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Soil Disturbance Category
SD1 – Little or no disturbanceSD2 – Compaction likelySD3 – Area is rutted, ruts are less than 8”deepSD4 – Area is rutted, ruts are 8” deep or moreSD5 – Area is churned
Source: Carruth and Brown (1996).
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Travel Intensity
TI1 - Trees on the plot have been felled.TI2 - Trees which stood on the plot have been removed and no other traffic has passed through the plot.TI3 - Passes with a loaded machine are between three and ten.TI4 - More than ten loaded machine passes have been made through the plot.Source: Carruth and Brown (1996).
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Percentage of SD3 and Higher (Soil Moisture < 40%)
0
5
10
15
20
25
30
35
40
45
TI1 TI2 TI3 TI4
Traffic Intensity
% o
f SD
3 an
d Hi
gher
SGP Rubber-tiredLGP Rubber-tiredLGP RT on Limb Mat
Source: Carruth and Brown (1996).
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Percentage of SD3 and Higher (Soil Moisture >= 40%)
0
20
40
60
80
100
120
TI1 TI2 TI3 TI4
Traffic Intensity
% o
f SD
3 or
Hig
her
SGP Rubber-tiredLGP Rubber-tiredLGP RT on Limb MatShovel
Source: Carruth and Brown (1996).
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Visual Simulation
The use of a graphical user interface to provide input on:
machine and landing locations, and the size of payload
The size and location of trees within the stand and the equipment being used are shown to scale on the computer screen.
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Extraction Patterns
Landing
Tree or log bunchesMachine paths
Landing
Tree or log bunchesMachine paths
Skid trail
Landing
Tree or log bunchesMachine paths
Skid trails
Skidding Pattern 1
Skidding Pattern 3
Landing
Tree or log bunches
Machine paths
Skidding Pattern 2
Forwarding Pattern 1
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Skidding with No Trails
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Skidding with One Trail
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Skidding with Two Trails
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Forwarding Direct to Road
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Travel Intensity Levels by Machine and Method (%)
Travel Intensity
No Trail One Trail
Two Trails
Forward
TI1 20 22 34 69
TI2 21 49 47 22
TI3 27 27 13 8
TI4 32 2 6 1
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Travel Intensity Levels by Machine and Method (%)
0
10
20
30
40
50
60
70
80
TI1 TI2 TI3 TI4
Travel Intensity
Perc
enta
ge o
f TI (
%)
No Trail
One Trail
Two Trails
Forward
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A Recent Study on Soil Compaction in WV
Document and compare
Soil compactionTwo systems
Two sitesLocation
Mead-WestvacoRandolph County, WV
Summer, 2002
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Site Conditions(Manual Harvesting Site)
31 acresSelection Cut30-40 % slope3,595 BF/acMixed HdwdsGilpin series (GkE) and Buchanan (BtE)Summer, 2002
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Site Conditions(Mechanized Harvesting Site)
34 acresClearcut15-25 % slope5,765 BF/acMixed HdwdsBuchanan (BtE), Gilpin (GdE), and Lily (LyC) seriesSummer, 2002
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Sample Plots
Plots across the site30 locations installed for each site systematically laid out using a grid of 3 by 3 chainsFour samples taken at each location at random direction and distance
Points in the roadSix samples taken at each cross section of the road10 cross sections on manual site and 14 sections on mechanized siteFirst four cross sections also for compaction vs. the number of loaded
Sample location
Sample point
Wheel rut
Road center
Cross section
machine passes
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Harvesting Systems
Two ground-based systemsManual
ChainsawCable skidderBulldozer
MechanizedFeller-buncherGrapple skidder
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Data Collection
GPS and wooden poles for locationsTroxler™ - surface density and moisture gauge
Dry density (lbs/ft3)Wet density (lbs/ft3)Soil moisture (%)Six inches deep from the top of soil surfacewww.troxlerlabs.com
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Results
Average compactions of 6.08 lbs/ft3 across the site and 9.35 lbs/ft3 in the skid roads were presented on the manual site.The average compactions were 1.82 lbs/ft3 across the site and 7.88 lbs/ft3 in the roads on the mechanized site. The compaction was significantly different between the two harvesting systems.Manual system caused more soil compaction than the mechanized system, mainly due to site and machine conditions, soil types, and weather conditions.
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Results(Bulk density vs. no. of loaded machine passes)
0
20
40
60
80
100
120
0 1 2 3 4 5 6 7 8 9 10
Number of Loaded Machine Passes
Soil
Bul
k D
ensi
ty, p
ound
s pe
r cub
ic fo
ot
Manual
Mechanized
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Results(Compaction vs. no. of loaded machine passes)
0
20
40
60
80
100
120
1 2 3 4 5 6 7 8 9 10
Number of Loaded Machine Passes
Com
pact
ion
(%)
Manual
Mechanized