demographics of coastal cutthrout trout in prairie creek ... · demographics of coastal cutthrout...
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Demographics of coastal cutthrout troutin Prairie Creek, California
W. G. DuffyUSGS, California Cooperative Fish Research Unit
Humboldt State Universityand
E. P. BjorkstedtNational Marine Fisheries Service
Humboldt State University
Objectives
• Communicate empirical data on the status of coastal cutthroat trout in California.
Outline
• Population abundance and density• Size distribution
Study Area
Reference:Prairie Creek
Recovering: Streelow Creek
Disturbed:Boyes Creek
Stream habitat
650.17
580.24
1170.64
Run narea (ha)
910.26
490.13
1530.68
Riffle narea (ha)
590.15
760.36
1271.25
Pool narea (ha)
4.45.734.4Watershed area (km2)
2.22.16.1Length (km)
BoyesCreek
StreelowCreek
Prairie Creek
Methods
Estimated population abundance during 2000-2004 using modified Hankin and Reeves (1988) sampling.
Area of habitat in pools, runs and riffles measured in July.Population abundance sampling during July and October (except 2004).
Methods (2)Prairie Creek
Single pass diver observations in randomly selected habitat units.
Calibrated diver observationsWhen < 20 coho salmon observed, 3 additional dives.When > 20 coho salmon present, electro-fishing.
Streelow and Boyes CreeksElectrofished all randomly selected habitat units.
Methods (3)Recorded size, fork length (mm) and wet weight (g), of a subsample each season.
Calculated condition (k) as: k = (W/FL3)*10,000
Classified fish < 80 mm FL as cutthroat trout only if maxillary extended beyond posterior of eye and a red/orange slash was visible on the lower jaw.
Data Analysis
GLM used to analyze cutthroat trout density, and size by stream, year, season and habitat type.
ANOVA used when interactions significant.
Linear regression to explore relationships density and size relationships with habitat, area, habitat depth, and “prey”.
Population Abundance
Year
2000 2001 2002 2003 2004
Popu
latio
n Es
t.(+
S.E
.)
0.1
1
10
100
1000
PoolsRunsRiffles
Prairie Creek
Population Abundance
Year
2000 2001 2002 2003 2004
Popu
latio
n Es
t.(+
S.E
.)
0.1
1
10
100
1000
PoolsRunsRiffles
Streelow Creek
Population Abundance
Year
2000 2001 2002 2003 2004
Popu
latio
n Es
t.(+
S.E
.)
0.1
1
10
100
1000
PoolsRunsRiffles
Boyes Creek
Density (no . ha-1)
Year
2000 2001 2002 2003 2004
Den
sity
(No.
ha
)
0
200
400
600
800
1000
1200 Prairie Cr.Streelow Cr.Boyes Cr.
Density (no/ha)
• Stream: Streelow > Prairie & Boyes• Year: 2004 > 2000 & 2001 > 2002 & 2003• Habitat: Runs & Pools > Riffles
Density Distribution
Proportion Distance Upstream
0.0 0.2 0.4 0.6 0.8 1.0
Den
sity
(No
m-2
)
0.0
0.1
0.2
0.3
0.4
0.5
Density = 0.0665 + 0.0054 * Distancer2 = 0.00, p = 0.7958
Density vs. Coho Salmon
Coho salmon m-2
0.0 0.3 0.6 0.9 1.2 1.5
Cut
thro
at tr
out
m-2
0.00
0.03
0.06
0.09
0.12
0.15
0.18Runs
Cutthroat density = 0.0535 + 0.0024 * coho densityr2 = 0.00, p = 0.939
Density vs. Coho Salmon
Coho salmon m-2
0.0 0.1 0.2 0.3 0.4 0.5
Cut
thro
at tr
out
m-2
0.00
0.02
0.04
0.06
0.08
0.10Riffle Habitats
Cutthroat density = 0.0194 + 0.0630 * coho densityr2 = 0.099, p = 0.0606
Density vs. Coho Salmon
Coho salmon m-2
0.0 0.3 0.6 0.9 1.2 1.5
Cut
thro
at tr
out
m-2
0.00
0.05
0.10
0.15
0.20
0.25Pool habitats
Cutthroat density = 0.0213 + 0.1229 * coho densityr2 = 0.424, p = 0.0001
Size Distribution (FL)
Fork Length (mm)
100 150 200 250 300
Perc
ent
0
4
8
12
16
20Prairie Cr.Streelow Cr.Boyes Cr.N = 1,181
Mean = 11095% C.L. = 5.7
Length - Weightlog(Wtg)) = -4.7647 + 2.9027 * log(FL(mm))
r2 = 0.981, p <0.0001
Log (Weight (g))
1.6 1.8 2.0 2.2 2.4 2.6
Log
(For
k Le
ngth
(mm
))
0.0
0.5
1.0
1.5
2.0
2.5
Size Distribution
Proportion of Distance Upstream
0.0 0.2 0.4 0.6 0.8 1.0
Log
(FL(
mm
))
1.6
1.8
2.0
2.2
2.4
2.6
Size (FL)
• Stream: Streelow = Prairie = Boyes• Year: 2002 > 2003 & 2004 > 2000 & 2001• Habitat: Pools > Runs & Riffles
Summary and Conclusions
1) Density relatively stable and similar to that reported by others.
2) Density greatest in smaller, low gradient stream with relatively deep pools.
3) Size did not vary among streams.4) Scale not appropriate for discerning life
history variation.
Thank you