ISSN:
1573-5184
Keywords:
Bayesian methods
;
depensation
;
learning
;
meta-analysis
;
population dynamics
;
stock assessment
Source:
Springer Online Journal Archives 1860-2000
Topics:
Biology
,
Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
Notes:
Abstract Progress in any field depends primarily on our ability to synthesize previous experience – to stand on the shoulders of the giants who have worked before us. In fisheries management we have learned a great deal from past experience, but we have also failed to do so. Most stock assessments use no quantitative information derived from previous experience on other fish stocks, and often fix parameter values at some ‘best’ estimates rather than admit uncertainty in their value. Meta-analysis provides a method to admit the uncertainty in most model parameters while using experience from other populations to provide an estimate of the distribution of the parameter. We demonstrate the application of meta-analysis for the intensity of depensation in spawner–recruit relationships in two species of Pacific salmon, and we discuss the potential of, and limitations to, meta-analysis in fisheries stock assessment.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1023/A:1008877912528
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