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Page 1: Steve Cramer Casey Justice  Ian Courter

Steve Cramer Casey Justice

Ian Courter

Environmental drivers of steelhead abundance in partially anadromous Oncorhynchus mykiss populations

Page 2: Steve Cramer Casey Justice  Ian Courter

Key Characters in the Plot

Page 3: Steve Cramer Casey Justice  Ian Courter

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?

Page 4: Steve Cramer Casey Justice  Ian Courter

Examples of Resident Rainbow Streams

within the Anadromous Fish ZonesAugust

Basin Flow (cfs)

Temperature

McKenzie 2,600 54o F

Metolius 1,400 46o F

Upper Yakima 3,600 60o F

Upper Sacramento

10,000 55o F

Page 5: Steve Cramer Casey Justice  Ian Courter

Mainstem Teanaway

Page 6: Steve Cramer Casey Justice  Ian Courter

Teanaway and Yakima River confluence

Page 7: Steve Cramer Casey Justice  Ian Courter

Yakima River Temperatures

30

40

50

60

70

80

Average T

em

peratu

re (

F)

JANFEBMARAPRMAYJUNJULAUGSEPOCTNOVDEC

Month

Yakima R @ Umtanum (Rb)Yakima R @ Prosser (Sthd)

Yakima Basin

Page 8: Steve Cramer Casey Justice  Ian Courter

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

Page 9: Steve Cramer Casey Justice  Ian Courter

Focal Point Depth and Velocity. From Everest and Chapman 1972

Page 10: Steve Cramer Casey Justice  Ian Courter

0

0.2

0.4

0.6

0.8

1

1.2

0 1 2 3 4 5 6 7

Depth (ft)

Pro

bab

le S

uit

abil

ity

fry

juvenile

adult

Depth Suitability for O. mykiss

Page 11: Steve Cramer Casey Justice  Ian Courter

0

0.2

0.4

0.6

0.8

1

1.2

0 1 2 3 4 5Velocity (fps)

Pro

ba

ble

Su

ita

bil

ity

fry

juvenile

adult

Velocity Suitability for O. mykiss

Page 12: Steve Cramer Casey Justice  Ian Courter

From Grant and Kramer (1990)

Fork Length (mm)

0 50 100 150 200 250 300 350 400

Ter

rito

ry S

ize

(m²)

0

2

4

6

8

10

12

14

16 Fry Juvenile Adult

Page 13: Steve Cramer Casey Justice  Ian Courter

Flow (cfs)

0 500 1000 1500 2000

Fry

cap

acit

y

0

10000

20000

30000

40000

50000

60000

Juve

nil

e an

d a

du

lt c

apac

ity

0

1000

2000

3000

4000

FryJuvenileAdult

Page 14: Steve Cramer Casey Justice  Ian Courter

Territory Needed for a Steelhead Cohort

0

100

200

300

400

500

600

700

800

Fry 0+ Parr 1+ Parr

Life Stage

Num

ber

in

Coh

ort

-

20

40

60

80

100

120

140

160

Ter

rito

ry R

equi

red

(m̂2)

Fish Territory

Page 15: Steve Cramer Casey Justice  Ian Courter

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

/day

)

-0.01

0.00

0.01

0.02

0.03

0.04

0.05

Page 16: Steve Cramer Casey Justice  Ian Courter

Mainstem Growth

0

100

200

300

400

500

6002

6-J

un

24

-Se

p

23

-De

c

23

-Ma

r

21

-Ju

n

19

-Se

p

18

-De

c

17

-Ma

r

15

-Ju

n

13

-Se

p

12

-De

c

12

-Ma

r

10

-Ju

n

8-S

ep

7-D

ec

7-M

ar

5-J

un

3-S

ep

2-D

ec

2-M

ar

31

-Ma

y

29

-Au

g

27

-No

v

Time since emergence

Fo

rk le

ng

th (

mm

)

Age-0 Age-1 Age-2 Age-3 Age-4 Age-5

Spawning27-Mar

Emergence26-Jun

Page 17: Steve Cramer Casey Justice  Ian Courter

Growth of PIT-tagged Wild SteelheadRecaptured 1 yr after Tagging

Keifer et al. 2004

Salmon & ClearwaterRiver tributaries

Page 18: Steve Cramer Casey Justice  Ian Courter

Relationship Between Temperature & Trout Biomass

Salt River Basin (Isaak and Hubert 2004) L

og

10(B

iom

as

s)+

1

2

1

05 10 15

Mean Stream Temperature (oC)

Page 19: Steve Cramer Casey Justice  Ian Courter

MWAT (oC)

12-14 14.1-16 16.1-18 18.1-20 20.1-22 22.1-24 24.1+

Mea

n c

oh

o d

ensi

ty (

no

./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

Page 20: Steve Cramer Casey Justice  Ian Courter

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

Page 21: Steve Cramer Casey Justice  Ian Courter
Page 22: Steve Cramer Casey Justice  Ian Courter

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

Page 23: Steve Cramer Casey Justice  Ian Courter

Hypothesis

Variation in flow conditions influence the distribution of the two ecotypes across subbasins

Page 24: Steve Cramer Casey Justice  Ian Courter

Substantial declines in summer discharge will reduce carrying capacity for adult resident fish and promote a migratory life-history strategy

Hypothesis

Page 25: Steve Cramer Casey Justice  Ian Courter

Over-winter Survival

Fork length (mm)

60 80 100 120 140 160 180 200 220

Ove

r-w

inte

r su

rviv

al N

ov-

Feb

(%

)

0.0

0.2

0.4

0.6

0.8

1.0

1.2

Smith and Griffith (1994)

Adjusted curve

Page 26: Steve Cramer Casey Justice  Ian Courter

Length at emigration (mm)

100 125 150 175 200 225 250 275 300

Mar

ine

surv

ival

sca

lar

(% o

f m

ax)

0

20

40

60

80

100

120

Data from Ward and Slaney (1989)

Marine Survival

Page 27: Steve Cramer Casey Justice  Ian Courter

Rearing capacity = Habitat Area (m2) / Territory size (m2)

Page 28: Steve Cramer Casey Justice  Ian Courter

0.0 0.5 1.0 1.5 2.0

# o

f O

bse

rvati

ons

0

200

400

600

800

1000 Cum

ula

tive F

requency0.0

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

bse

rvati

ons

0

500

1000

1500

2000

2500 Cum

ula

tive F

requency0.0

0.2

0.4

0.6

0.8

1.0Riffles

Pools

7 Basins528 km5,886 pools

4,900 riffles

Page 29: Steve Cramer Casey Justice  Ian Courter
Page 30: Steve Cramer Casey Justice  Ian Courter

Atlas of Pacific Salmon (2005)

Page 31: Steve Cramer Casey Justice  Ian Courter

Tributary Growth

0

50

100

150

200

250

300

350

4001

3-J

ul

11

-Oct

9-J

an

9-A

pr

8-J

ul

6-O

ct

4-J

an

3-A

pr

2-J

ul

30

-Se

p

29

-De

c

29

-Ma

r

27

-Ju

n

25

-Se

p

24

-De

c

24

-Ma

r

Time since emergence (months)

Pre

dic

ted

fo

rk le

ng

th (

mm

)

Age-0 Age-1 Age-2 Age-3

Spawning date3-Apr

Emergence13-Jul


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