期刊
CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
卷 71, 期 7, 页码 973-983出版社
CANADIAN SCIENCE PUBLISHING
DOI: 10.1139/cjfas-2013-0645
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资金
- New Jersey Sea Grant Consortium (NJSGC)
- NOAA Office of Sea Grant
- US Department of Commerce, under NOAA grant [NA10OAR4170075]
- NJSGC
Recruitment often varies substantially in fish populations, and residual variability may have serial autocorrelation due to environmental effects even after accounting for a stock-recruitment relationship. However, the likely magnitude of variability and autocorrelation in recruitment has yet to be formally estimated. We therefore developed a hierarchical model for recruitment variability and autocorrelation and applied it to data for 154 fish populations. Results were similar when using either the Ricker or Beverton-Holt stock-recruitment model, and showed that autocorrelated recruitment has a marginal standard deviation of 0.74 (SD = 0.35) and a mean autocorrelation of 0.43 (SD = 0.28) when predicting for an unobserved taxonomic order. Estimates differed somewhat among taxonomic orders and stocks, and also supported a hypothesized positive relationship between age at maturity and autocorrelation in recruitment. Our results can be used as a Bayesian prior for recruitment variability in models for data-poor stocks and to distinguish recruitment from other process errors in models for data-rich stocks. Estimates can also be used in the design of future simulation models and management strategy evaluations and in theoretical research regarding life history variation.
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