Yn pacific lamprey data mgmt presentation
-
Upload
tridenz -
Category
Technology
-
view
143 -
download
0
Transcript of Yn pacific lamprey data mgmt presentation
Pacific Lamprey Monitoring
and Data Management
Yakama Nation FRMP
Pacific Lamprey
Recovery Project
3/9/2012
Project Goals
The goal of the Yakama Nation is to restore natural
production of Pacific lamprey to a level that will
provide robust species abundance, significant
ecological contributions and meaningful harvest
throughout the Yakama Nations Ceded Lands and in
the Usual and Accustomed areas.
Premises
• Yakima population is functionally
extirpated
• Our goal is to have hundreds and
thousands of juveniles
Supplementation a much needed tool
• Genetics (risk management approach)
Monitoring Projects
• Adult passage (radio telemetry)
• Juvenile passage (Prosser Dam) -> index?
• Juvenile present/absence (including canals)
• Juvenile index sites (“relative abundance”)
• Water quality impacts on lamprey (adult/juv.)
• Artificial propagation and rearing (methods, feed)
• Supplementation effectiveness (survival and
growth)
Juvenile Surveys
• Exploratory Survey (Min. Data)
Presence / Absence
Quick survey
• Index Survey (Core Data)
Relative abundance
Annual variation
• Extensive Surveys (Optional Data)
Release from art. prop.
Seasonal variation
Growth, distribution, habitat use
Focus
• Need a method to measure
“relative abundance” of larvae
Time & Space
Consistent
& Coordinated
Precision not important
Density can be misleading
0
0.2
0.4
0.6
0.8
1
1.2
0 50 100Mean Annual Stream Flow (cms)
0
0.2
0.4
0.6
0.8
1
1.2
0 5 10Calibrated Valley Constraint
00.20.40.60.8
11.2
0 5
Channel Gradient (%)
Intrinsic Potential (IP)
Model for Pacific Lamprey
• What is the potential
for lamprey habitat?
• Flow
• Gradient
• Valley Width
• (Temperature)
• Flow
• >14 cfs
• Gradient
• < 2 %
• Valley Width
• > 100 ft
Use Existing Data
ODFW Steelhead Survey
Benefits of IP Model
for Pacific Lamprey
• Higher efficiency in predicting
lower and upper distribution
• Make comparison
of density and
relative abundance
more meaningful
Spatial Scales
• 3 spatial scales
• 10 M: density, habitat
features
• 100 M: relative
abundance, status and trend
• 1000 M: abundance
estimates, status and
trend, limiting factors
Analysis Unit 2Analysis Unit 1
Analysis Unit 3
LegendIndex Sites
Extensive Sites
Exploratory Sites
Reach A Reach B
Reach D
Reach CReach E
Reach F
Index Sites
density measurements in representative
habitat types -> “relative abundance”
• ~100 meters
• 3-5 plots, fixed and mapped
• Each Plot = X amount of area surveyed over
Y amount of time (~10 m)
• Long-term
Extensive Sitesgrowth, survival and habitat preference
of released propagated larvae.
• ~100 metes
• Extensive area surveyed
• Location may vary over time
Area
Supplemented
How to Calculate
Abundance??
• Estimate area for Type 1 & 2
Habitat (using habitat surveys)
• Not always available
(Larger streams/rivers)
= 250 m2
Core Data
Reach Scale (~1000 m)
• Watershed (HUC 5 or 6)
• Stream Name
• GPS
• (River Mile -> identifier)
• (Elevation)
• (Gradient)
• (Sinuosity)
Core Data
Habitat Scale (~10 m)
• Channel type (riffle, glide, pool)
• Habitat Type (% Type 1 & 2)
• Plot size
• Method (E-fishing, hand net, etc)
• Survey time (cpue)
• Time of day
• Visibility (high, medium, low)
• (Conductivity)
• (Temperature/DO/pH)
• (Riparian / % cover)