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.
Reviews in Fish Biology and Fisheries – Springer Journals
Published: Oct 6, 2004
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera