Mark Chilcote (USFS), Kevin Goodson (ODFW), Matthew Falcy (ODFW)

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Reduced Recruitment P erformance in N atural Populations of A nadromous S almonids Associated with Hatchery-reared F ish Pacific Coast Steelhead Meeting – March 14, 2012. Mark Chilcote (USFS), Kevin Goodson (ODFW), Matthew Falcy (ODFW). Oregon Recovery Planning. - PowerPoint PPT Presentation

Transcript of Mark Chilcote (USFS), Kevin Goodson (ODFW), Matthew Falcy (ODFW)

Reduced Recruitment Performance in Natural

Populations of Anadromous Salmonids Associated with

Hatchery-reared Fish

Pacific Coast Steelhead Meeting – March 14, 2012

Mark Chilcote (USFS), Kevin Goodson (ODFW), Matthew Falcy (ODFW)

Oregon Recovery Planning

Quantitatively describe threat impacts to viability

Hatchery threat difficult to describe

Literature review of limited help

Studies of Reproductive Success (RSh)

Number of offspring produced per hatchery spawner relative to number produced per wild spawner

Evidence from 3 studies (all steelhead): Leider et al 1990 (Kalama River) McLean et al 2003 (Forks Crk,

Washington) Araki et al 2007 (Hood River)

RSh averaged about 0.10 for segregated stocks and 0.60 for integrated stocks

Supposition

IF reproductive success of hatchery fish (RSh) spawning in the wild is low,

THEN, should see evidence of this from recruitment performance

Relationship from Chilcote 2003*

y = -1.97x + 1.41R2 = 0.70

-0.50

0.00

0.50

1.00

1.50

0.00 0.25 0.50 0.75 1.00

Ph

Intri

nsic

Prod

..

* Chilcote, M.W. 2003. Relationship between natural productivity and the frequency of wild fish in mixed spawning populations of wild and hatchery steelhead (Oncorhynchus mykiss). Can. J. Fish. Aquat. Sci. 60: 1057-1067

2011 Analysis – Key Questions

Does relationship hold for all populations?

Does it apply to other species (coho and Chinook)?

Is it sensitive to type of hatchery fish? Integrated versus Segregated

Two-Step Process1. Estimate intrinsic productivity

through fitting recruitment curves to data sets

2. Determine what variables (covariates) account for most of the variation in intrinsic productivity

Recruitment Model Fits Looked at 93 populations

From Washington, Oregon, Idaho Fit recruitment model for 89 of

these Therefore, intrinsic productivity

estimated Chinook (37), steelhead (29), and

coho (23)

Populations Well Distributed

Step Two Develop productivity models with

multiple covariates Compare models Identify model that best explains

variability

Covariates Species Hatchery location Hatchery program type

(integrated/segregated) Hatchery legacy Dams Proportion hatchery spawners

(Ph)

Models ConsideredCovariat

e

Model12

9 1 7 8 11

10

4 2 6 3 5

Ph X X X X X X X

Species X X X X X X X X X X X X

H type X X X X X X X

H legacy X X X X X X X

H location

X X X X X X X X

Dams X X X X X X X X X

Ph:Species

X X X X X

Ph:H type

X

BIC 144

148

157

161

166

170

175

211

215

218

230

239

Best Model CovariatesCovariate Sum of SquaresPh 41Species 13Dams 7Hatchery location 2

Best model did not include hatchery type or legacy

Modeled Relationship

Chinook – Coho – Steelhead -

Findings The model explained 72% of the

variability in the data The slope suggests that productivity

of 100% hatchery fish is 13% that of 100% wild fish

There was no relationship with integrated versus segregated broodstocks

Mechanism(s) Unknown Analyses didn’t identify

mechanisms Maybe a combination of:

Plausible RSh levels (segregated RSh = 0.10)

Ecological effects Multigenerational accumulation of

adverse impacts Note that analysis is not for single

generation but for a period of 20 years (4 to 6 generations).

For Consideration If:

Impact from segregated or integrated is the same,

Loss of fitness Araki and others found is universal,

Ph would be the same regardless, and Hatchery program is for harvest;

Should you choose integrated?

Integrated Harvest Programs

Pros Maintains genetic

similarity to wild population

Mimics wild run timing

Anglers love them

Cons Reduces fitness in one

generation Difficult to meet goals

consistently More effort required

to collect brood Requires mining of

wild population

A Hypothesis to Explore Naturally spawning integrated fish appear

to produce more offspring than segregated

Could lead to more F1s, F2s to interbreed with wild population

Might lead to more alteration of the genetic composition of wild population

Fishery benefits could be maintained by managing run timing of segregated broodstock

Might be better off with segregated programs

Questions ?