NCEAS Working Groups
Predicting extinction: The dynamics of salmon populations at low densities
Project Description
We propose to combine meta-analysis, the analysis of a large number of data sets to determine the probability of different population parameters, with Bayesian risk analysis to provide a methodology for making predictions about extinction and other risks of low density populations. A NCEAS working group would meet twice to apply these methods to a case study of coho salmon in California and Oregon using existing meta-analytic data sets, and to explore the potential for developing similar data sets for other taxonomic groups.
Principal Investigator(s)
Ray Hilborn
Project Dates
completed
Participants
- Louis W. Botsford
- University of California, Davis
- Mike Bradford
- Fisheries and Oceans Canada
- Daniel Goodman
- Montana State University
- Ray Hilborn
- University of Washington
- Jeffrey A. Hutchings
- Dalhousie University
- E Conrad Lamon
- Louisiana State University
- Martin Liermann
- University of Washington
- Steven T. Lindley
- NOAA, National Marine Fisheries Service (NMFS)
- Ransom A. Myers
- Dalhousie University
- Anthony R. E. Sinclair
- University of British Columbia
- Paul Spencer
- NOAA, Southwest Fisheries Science Center
- Thomas Wainwright
- NOAA, Northwest Fisheries Science Center
Products
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Journal Article / 2003
The variability among populations of coho salmon in the maximum reproductive rate and depensation
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Journal Article / 2000
Reference points for coho salmon (Oncorhynchus kisutch) harvest rates and escapement goals based on freshwater production
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Report or White Paper / 1998
Report of the first working group on Predicting Extinction
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Data Set / 2007
Coho salmon
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Data Set / 2007
Coho salmon online data from Myers' stock recruitment database