Re-examination of stock-recruitment relationships: a meta-analysis
Re-examination of stock-recruitment relationships: a meta-analysis
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重新审视股票招聘关系：荟萃分析
DOI：
10.1093/icesjms/fsac061
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发表时间：
2022
影响因子：
3.3
通讯作者：
Yamakawa Takashi
中科院分区：
文献类型：
--
作者：
Yang Yingxi;Yamakawa Takashi
估计种群补充（S–R）关系是渔业管理中的一项基本挑战。然而，对于产卵种群生物量（SSB）和补充之间是否存在显着的定量关系，以及是否有最佳模型可以代表这种 S-R 关系，渔业科学家们几乎没有达成共识。在这项研究中，我们利用来自全球 92 个种群的数据，应用四种传统的 S–R 模型（Beverton–Holt、Ricker、Deriso–Schnute 和 Pella–Tomlinson 模型）进行了一项荟萃分析，以确定 SSB 与每只产卵种群的转化补充量 (RPS) 之间的关系。我们还检查了标准模型（SM）和测量误差模型（MEM）回归的残差，它们分别只考虑they变量和thex和y变量的误差，通过标准化后对它们进行积分。我们发现 90.2% 的股票 SSB 和 ln(RPS) 之间存在显着的负相关性（即密度效应）。 Pella–Tomlinson S–RPS 模型在 SM 和 MEM 回归中表现出最稳定和高性能。我们的结果表明 Pella–Tomlinson S–RPS 模型是评估多种股票动态的最有可能的候选模型。
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 andln-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 they-variable and that in both thex- andy-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.