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Re-examination of stock-recruitment relationships: a meta-analysis

机译:Re-examination of stock-recruitment relationships: a meta-analysis

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摘要

Estimating stock-recruitment (S-R) relationships is a fundamental challenge in fisheries management. However, there is little consensus among fishery scientists on whether a significant quantitative relationship exists between spawning stock biomass (SSB) and recruitment, and whether an optimal model is available to represent this S-R relationship. In this study, we conducted a meta-analysis to determine the relationship between SSB and ln-transformed recruitment per spawning stock (RPS) using data from 92 stocks worldwide by applying four conventional S-R models (the Beverton-Holt, Ricker, Deriso-Schnute, and Pella-Tomlinson models). We also examined the residuals from standard model (SM) and measurement error model (MEM) regressions, which consider only the error in the y-variable and that in both the x- and y-variables, respectively, by integrating them after standardization. We showed that 90.2 of the stocks had significant negative correlations (i.e. density effects) between SSB and ln(RPS). The Pella-Tomlinson S-RPS model exhibited the most stable and high performance in both SM and MEM regressions. Our results suggest the Pella-Tomlinson S-RPS model as the most probable candidate to assess the dynamics of several stocks.

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