Effects of recruitment variability and fishing history on estimation of stock-recruitment relationships: Two case studies from U.S. West Coast fisheries
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DOI: 10.1016/j.fishres.2018.06.001
Abstract: Abstract The Beverton-Holt stock-recruitment (SR) relationship has typically been reparameterized such that a single parameter, “steepness,” can be used to define recruitment compensation along a common scale. However, “steepness” is notoriously difficult to estimate in… read more here.
Keywords: steepness; variability; recruitment variability; stock recruitment ... See more keywords
Stock-recruitment-environment relationships of invertebrate resources in Western Australia and their link to pro-active management harvest strategies
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DOI: 10.1016/j.marpol.2021.104728
Abstract: Abstract There are several ways to set biological reference points (BRP) for harvest strategies, but one of the most direct methods is to use the stock-recruitment relationship (SRR). Even if the SRR is not statistically… read more here.
Keywords: harvest strategies; management; western australia; recruitment ... See more keywords
Circularity in fisheries data weakens real world prediction
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DOI: 10.1038/s41598-020-63773-3
Abstract: The systematic substitution of direct observational data with synthesized data derived from models during the stock assessment process has emerged as a low-cost alternative to direct data collection efforts. What is not widely appreciated, however,… read more here.
Keywords: real world; recruitment; synthesized data; stock recruitment ... See more keywords
Identification of recruitment regime shifts with a hidden Markov stock-recruitment model
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DOI: 10.1093/icesjms/fsab141
Abstract: Stock-recruitment relationships (SRRs) may differ substantially among environmental regimes. We developed a methodology including a Hidden Markov Stock-recruitment Model (HMSM), the maximum likelihood approach and a model selection procedure to identify abrupt changes of stock-recruitment… read more here.
Keywords: methodology; recruitment; model; regime ... See more keywords