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Project Objectives Determine how environmental factors drive productivity of resident and anadromous O. mykiss ecotypes Test this understanding: Can the functional relationships of O. mykiss productivity to environmental factors predict the observed distribution of the two ecotypes in the Yakima Basin?
Citation preview
Steve Cramer Casey Justice
Ian Courter
Environmental drivers of steelhead abundance in partially anadromous Oncorhynchus mykiss populations
Key Characters in the Plot
Project Objectives
• Determine how environmental factors drive productivity of resident and anadromous O. mykiss ecotypes
Test this understanding:• Can the functional relationships of O. mykiss
productivity to environmental factors predict the observed distribution of the two ecotypes in the Yakima Basin?
Examples of Resident Rainbow Streams
within the Anadromous Fish ZonesAugust
Basin Flow (cfs)
Temperature
McKenzie 2,600 54o FMetolius 1,400 46o FUpper Yakima 3,600 60o FUpper Sacramento
10,000 55o F
Mainstem Teanaway
Teanaway and Yakima River confluence
Yakima River Temperatures
30
40
50
60
70
80
Ave
rage
Tem
pera
ture
(F)
JANFEBMARAPRMAYJUNJULAUGSEPOCTNOVDECMonth
Yakima R @ Umtanum (Rb)Yakima R @ Prosser (Sthd)
Yakima Basin
Rainbow And Steelhead Intermix And Produce Both Types
• Interbreeding of Rb x St is observed • Genetics show similarity by basin,
not by ecotype• Breeding studies show each type
produces some of the other• Sr/Ca ratio in otoliths of spawners
confirms cross parentage
Focal Point Depth and Velocity. From Everest and Chapman 1972
0
0.2
0.4
0.6
0.8
1
1.2
0 1 2 3 4 5 6 7
Depth (ft)
Prob
able
Sui
tabi
lity
fryjuvenileadult
Depth Suitability for O. mykiss
0
0.2
0.4
0.6
0.8
1
1.2
0 1 2 3 4 5Velocity (fps)
Prob
able
Sui
tabi
lity
fryjuvenileadult
Velocity Suitability for O. mykiss
From Grant and Kramer (1990)
Fork Length (mm)
0 50 100 150 200 250 300 350 400
Terr
itory
Siz
e (m
²)
0
2
4
6
8
10
12
14
16 Fry Juvenile Adult
Flow (cfs)
0 500 1000 1500 2000
Fry
capa
city
0
10000
20000
30000
40000
50000
60000
Juve
nile
and
adu
lt ca
paci
ty
0
1000
2000
3000
4000
FryJuvenileAdult
Territory Needed for a Steelhead Cohort
0100200300400500600700800
Fry 0+ Parr 1+ ParrLife Stage
Num
ber
in C
ohor
t
-20406080100120140160
Terr
itor
y Re
quir
ed
(m̂2)
Fish Territory
From Rand et al. (1993) and Mangel and Sattherthwaite (2008).
Modeling Growth in FreshwaterGrowth = anabolic gains – catabolic losses
Factors influencing growth:
1) Temperature
2) Food availability
Stream temperature (°C)
0 5 10 15 20 25
Gro
wth
(g/d
ay)
-0.01
0.00
0.01
0.02
0.03
0.04
0.05
Mainstem Growth
0
100
200
300
400
500
60026
-Jun
24-S
ep23
-Dec
23-M
ar21
-Jun
19-S
ep18
-Dec
17-M
ar15
-Jun
13-S
ep12
-Dec
12-M
ar10
-Jun
8-S
ep7-
Dec
7-M
ar5-
Jun
3-S
ep2-
Dec
2-M
ar31
-May
29-A
ug27
-Nov
Time since emergence
Fork
leng
th (m
m)
Age-0 Age-1 Age-2 Age-3 Age-4 Age-5
Spawning27-Mar
Emergence26-Jun
Growth of PIT-tagged Wild SteelheadRecaptured 1 yr after Tagging
Keifer et al. 2004
Salmon & ClearwaterRiver tributaries
Relationship Between Temperature & Trout Biomass
Salt River Basin (Isaak and Hubert 2004) Lo
g 10(B
iom
ass)
+1
2
1
05 10 15
Mean Stream Temperature (oC)
MWAT (oC)
12-14 14.1-16 16.1-18 18.1-20 20.1-22 22.1-24 24.1+
Mea
n co
ho d
ensi
ty (n
o./m
2 )
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
Juvenile Coho Density vs. Temperature 260 Oregon Coast Sample Sites
Extended Bar shows 2 Standard Errors
0.0
0.2
0.4
0.6
0.8
1.0
12 14 16 18 20 22 24 26
Conclusions• Channel size, flow and temperature are key factors
that determine carrying capacity for resident fish over 250 mm, and may determine which of the two ecotypes will dominate
• Data are available in the Yakima Basin to predict how carrying capacity for O. mykiss will be affected by flow, temperature, and channel morphology
• We can test how well we understand the factors driving life history of O. mykiss by: – Using what we understand to build a life cycle model for O.
mykiss– Plug in actual values for habitat and environmental factors,– Compare how the predicted and observed distributions of
the two ecotypes match
Growth is a Key Driver
• Growth determines size at age • Size determines the area of habitat
occupied• Size at age determines winter survival
in freshwater• Size at smolting determines ocean
survival
Hypothesis
Variation in flow conditions influence the distribution of the two ecotypes across subbasins
Substantial declines in summer discharge will reduce carrying capacity for adult resident fish and promote a migratory life-history strategy
Hypothesis
Over-winter Survival
Fork length (mm)
60 80 100 120 140 160 180 200 220
Ove
r-w
inte
r sur
viva
l Nov
-Feb
(%)
0.0
0.2
0.4
0.6
0.8
1.0
1.2
Smith and Griffith (1994)
Adjusted curve
Length at emigration (mm)
100 125 150 175 200 225 250 275 300
Mar
ine
surv
ival
sca
lar (
% o
f max
)
0
20
40
60
80
100
120
Data from Ward and Slaney (1989)
Marine Survival
Rearing capacity = Habitat Area (m2) / Territory size (m2)
0.0 0.5 1.0 1.5 2.0
# o
f O
bser
vatio
ns
0
200
400
600
800
1000 Cumulative Frequency0.0
0.2
0.4
0.6
0.8
1.0
Depth (m) (Upper Bound)0.0 0.5 1.0 1.5 2.0
# o
f O
bser
vatio
ns
0
500
1000
1500
2000
2500 Cumulative Frequency0.0
0.2
0.4
0.6
0.8
1.0Riffles
Pools7 Basins528 km5,886 pools
4,900 riffles
Atlas of Pacific Salmon (2005)
Tributary Growth
0
50
100
150
200
250
300
350
40013
-Jul
11-O
ct
9-Ja
n
9-A
pr
8-Ju
l
6-O
ct
4-Ja
n
3-A
pr
2-Ju
l
30-S
ep
29-D
ec
29-M
ar
27-J
un
25-S
ep
24-D
ec
24-M
ar
Time since emergence (months)
Pred
icte
d fo
rk le
ngth
(mm
)
Age-0 Age-1 Age-2 Age-3
Spawning date3-Apr
Emergence13-Jul