Conference Proceedings Or Journal

 

An Ecological-Economic Simulation Model of Genetic interaction Between Farmed and Wild Salmon Public Deposited

Downloadable Content

Download PDF
https://ir.library.oregonstate.edu/concern/conference_proceedings_or_journals/v405sb35z

Abstract only.

Descriptions

Attribute NameValues
Creator
Abstract
  • The paper is the first attempt to explore the ecological and economic impacts of genetic interaction between farmed and wild salmon over generations. An age- and stage-structured bioeconomic model is developed. The biological part of the model includes age-specific life history traits such as survival rate, fecundity, spawning success for both wild and farmed salmon and their hybrids, while the economic part takes account of market and non-market values of fish stock. The model is constructed based on the Atlantic salmon fishery and salmon farming in Norway. The discounted profits are estimated given the current fishing practice over 50 years. The sensitivity analysis is also performed. It is expected that wild salmon stock will be gradually replaced with hybrid ones, while the total discounted profit will decline, but not significantly. The analysis will provide some new insights for designing effective management strategies to protect wild salmon stocks from genetic intrusion of farmed escapees.
Resource Type
Date Available
Date Issued
Citation
  • Liu, Yajie, Ola Diserud, Kjetil Hindar and Anders Skonhoft. 2010. An Ecological-Economic Simulation Model of Genetic interaction Between Farmed and Wild Salmon. In: Proceedings of the Fifteenth Biennial Conference of the International Institute of Fisheries Economics & Trade, July 13-16, 2010, Montpellier, France: Economics of Fish Resources and Aquatic Ecosystems: Balancing Uses, Balancing Costs. Compiled by Ann L. Shriver. International Institute of Fisheries Economics & Trade, Corvallis, Oregon, USA, 2010.
Conference Name
Keyword
Subject
Rights Statement
Funding Statement (additional comments about funding)
  • US National Oceanic and Atmospheric Administration (NOAA) Fisheries Division, Agence Française de Développement, Ministère de l’Enseignement Supérieur et de la Recherche, Ministère de L’Alimentation de L’Agriculture et de la Pêche, Ministère de l’Énergie, du Développement Durable et de la Mer, La Région Languedoc Rouslilon, Département Hérault, Montpellier Agglomèration, The Department of Fisheries and Oceans, Canada, and AquaFish Collaborative Research Support Program (CRSP).
Publisher
Peer Reviewed
Language
Replaces
Additional Information
  • description.provenance : Approved for entry into archive by Philip Vue(vuep@onid.orst.edu) on 2013-05-20T18:22:41Z (GMT) No. of bitstreams: 1 238.pdf: 21507 bytes, checksum: 90649bd155d310bad80611dd12368782 (MD5)
  • description.provenance : Made available in DSpace on 2013-05-20T18:22:41Z (GMT). No. of bitstreams: 1 238.pdf: 21507 bytes, checksum: 90649bd155d310bad80611dd12368782 (MD5) Previous issue date: 2010
  • description.provenance : Submitted by Amy Zhang (zhanga@onid.orst.edu) on 2013-05-07T18:57:28Z No. of bitstreams: 1 238.pdf: 21507 bytes, checksum: 90649bd155d310bad80611dd12368782 (MD5)

Relationships

Parents:

This work has no parents.

Items