thumbnail

Results of Bayesian methods depend on details of implementation: An example of estimating salmon escapement goals

Fisheries Research

By:
,

Links

  • The Publications Warehouse does not have links to digital versions of this publication at this time

Abstract

Bayesian methods have been proposed to estimate optimal escapement goals, using both knowledge about physical determinants of salmon productivity and stock-recruitment data. The Bayesian approach has several advantages over many traditional methods for estimating stock productivity: it allows integration of information from diverse sources and provides a framework for decision-making that takes into account uncertainty reflected in the data. However, results can be critically dependent on details of implementation of this approach. For instance, unintended and unwarranted confidence about stock-recruitment relationships can arise if the range of relationships examined is too narrow, if too few discrete alternatives are considered, or if data are contradictory. This unfounded confidence can result in a suboptimal choice of a spawning escapement goal.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Results of Bayesian methods depend on details of implementation: An example of estimating salmon escapement goals
Series title:
Fisheries Research
Volume
25
Year Published:
1996
Language:
English
Publisher:
U.S. Fish and Wildlife Service
Contributing office(s):
Alaska Biological Science Center
Description:
pp. 155-170
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
First page:
155
Last page:
170
Number of Pages:
16