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首页> 外文期刊>ICES Journal of Marine Science >Numerical approach for evaluating impacts of biological uncertainties on estimates of stock-recruitment relationships in elasmobranchs: example of the North Pacific shortfin mako
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Numerical approach for evaluating impacts of biological uncertainties on estimates of stock-recruitment relationships in elasmobranchs: example of the North Pacific shortfin mako

机译：评估生物不确定性对弹性分支机构中种群与招聘关系的影响的数值方法：北太平洋短鳍马科鱼的例子

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摘要

Impacts of biological uncertainties on estimates of stock-recruitment relationships (SRRs) in elasmobranchs such as lamniform sharks were evaluated using a numerical approach based on an age-structured model considering reproductive ecology in elasmobranchs. The values of steepness were estimated using several combinations of life history parameters for North Pacific shortfin mako to elucidate whether the numerical approach could identify reasonable values for fundamental life history parameters as well as steepness. The results of the numerical approach indicated that the mean values of steepness and their 95% confidence intervals were highly sensitive to combinations of values for growth rate, maturity ogive, longevity, reproductive cycle, and natural mortality rate. Meanwhile, the most plausible combinations of the biological parameters and values of steepness were identified based on the numerical approach with biological knowledge. The mean values and their standard deviation (SD) for steepness with the Beverton-Holt-SRR model were 0.353 (SD=0.057) and 0.273 (SD=0.046) for 2- and 3-year reproductive cycles, respectively. The numerical approach therefore has high potential to become an important tool for estimating SRR in elasmobranchs such as lamniform sharks, and the application of this approach to other elasmobranchs could greatly contribute to improvements in stock assessment and management.
机译：使用基于年龄结构模型的数值方法，考虑了弹性分支中的繁殖生态学，使用数值方法评估了生物学不确定性对弹性分支（例如板状鲨）中的股票-招聘关系（SRR）的估计的影响。使用北太平洋短鳍ma鲨的生活史参数的几种组合来估算陡度值，以阐明数值方法是否可以识别基本生活史参数以及陡度的合理值。数值方法的结果表明，陡度的平均值及其95％的置信区间对增长率，成熟度，寿命，生殖周期和自然死亡率的值的组合高度敏感。同时，基于具有生物学知识的数值方法，确定了生物学参数和陡度值的最合理组合。 Beverton-Holt-SRR模型在2年和3年生殖周期中的陡度平均值和标准偏差（SD）分别为0.353（SD = 0.057）和0.273（SD = 0.046）。因此，数值方法具有很大的潜力，成为估算象板鲨这样的弹性分支中SRR的重要工具，并且将该方法应用于其他弹性分支中可以极大地改善种群评估和管理。

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