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Modeling Colonization of BC Rivers by Feral Atlantic Salmon

Modeling Colonization of BC Rivers by Feral Atlantic Salmon. 2008 PIMS Mathematical Biology Summer Workshop. Atlantic Salmon (Salmon Salar). Aquacultured species in Northeast Pacific Escapes recorded Feral Atlantic sightings in NE Pacific and Pacific Northwest rivers

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Modeling Colonization of BC Rivers by Feral Atlantic Salmon

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  1. Modeling Colonization of BC Rivers by Feral Atlantic Salmon 2008 PIMS Mathematical Biology Summer Workshop

  2. Atlantic Salmon(Salmon Salar) • Aquacultured species in Northeast Pacific • Escapes recorded • Feral Atlantic sightings in NE Pacific and Pacific Northwest rivers • Habitat use, life history point to competition with native Steelhead (O. Mykiss)

  3. Aquaculture Feral Ecology & Math • Predict a threshold rate of escape necessary for feral population sustainability • Apply threshold concept to spatial situations • Account for stochastic escape events

  4. Assumptions • Allee Effect in Atlantic reproduction • No hybridization with native populations • No competition, even though it’s ecologically important • Probabilistic colonization of rivers determined by distance from farm • Sex ratio of escapees is even • Surpassing the Allee threshold is establishment • Non-overlapping generations

  5. Modeling the Allee Effect • xt+1 = (k+m)(xt)2/(xt + Km) • xt := number of Atlantic salmon at time t • K := carrying capacity • m := Allee threshold • For xt < m, the population will crash • For xt > m, the population will grow to the carrying capacity

  6. Allee Effect

  7. Including Immigration • Assume a constant rate of immigration of escaped fish (we will allow for stochasticity later). • Model: • xt+1 = (K+m)(xt)2/(xt + Km) + ε • ε := the amount of escaped salmon entering the population

  8. Allee Growth with Immigration • When immigration ε exceeds threshold τ, only one stable state, corresponding to carrying capacity K • For ε > τ, where τ => f (x) = x and f ’(x) = 1, single equilibrium

  9. Sensitivity of ε to Allee Threshold

  10. Applying the Immigration Model across Space • Consider fish farm(s) located near rivers in space • εamount of fish escaping a cluster of farms in each time period. • di distance from the centre of the cluster of farms to river i • Assign dispersal rates as εdi/(Σi=1→ndi)

  11. Spatial Model with Immigration • xr,t+1 = (K+m)(xr,t)2/(xr,t + Km) + ε/di(Σi=1→n1/di) • Distribution of escapees allows for an larger ε before without colonization • Stochasticity: ε - stochastic variable with Poisson distribution

  12. Real World Scenario North East Vancouver Island • Six Steelhead Rivers: Keogh, Nimpkish, Kokish, Tsitika, Eve, Salmon • Each K estimated (for Steelhead) by British Columbia Conservation Foundation • Intensive Aquaculture in Broughton Archipelago

  13. Parameters • Distances estimated from Broughton center via Google Earth • K set equal to Steelhead estimates per BCCF http://www.bccf.com/steelhead/watersheds.htm • m set at 10% of K

  14. Application to One River • 1000 reps • 10 gens • Poisson-distributed number of escaped spawners at each generation m (K) decreases m (K) increases Distancekeogh increases Distancekeogh decreases

  15. Application to Six rivers

  16. A Closer View… 795 94 307 370 200 101

  17. Next Steps • Rational dispersal mechanism • Separate estimation of m from K for rivers • Staged, overlapping growth model • Biologically-motivated Allee functional form • Competition…

  18. Acknowledgements • Frank Hilker & Peter Molnar for formal guidance and lots of their time • Lou Gross & Mark Lewis for free agent advising • Gerda De Vries, Cecilia Hutchinson and all who participated in the PIMS Summer Workshop

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