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Local sensitivity equations for maximum sustainable yield reference points.
Theoretical Population Biology ( IF 1.2 ) Pub Date : 2019-07-22 , DOI: 10.1016/j.tpb.2019.07.010
Nan Zheng 1 , Shijia Wang 2 , Noel Cadigan 1
Affiliation  

Quantitative fishery harvest strategies in many countries throughout the world are based on maximum sustainable yield (MSY) reference points (RPs); in particular, the fishing mortality rate that produces MSY (i.e. Fmsy) and the population biomass (Bmsy) that results from fishing at Fmsy. There is often great interest in the sensitivity of MSY RPs to their inputs and underlying assumptions. We perturb (i.e. ω) inputs to generate influence curves which we denote as Fmsy(ω) and Bmsy(ω) as functions of ω. We derive diagnostic equations for the slopes of Fmsy(ω) and Bmsy(ω) at the origin (i.e. no perturbation). These equations provide a conceptual understanding of how Fmsy and Bmsy will change in response to changes in inputs, which one does not get from a simple computational sensitivity analysis. We show that a leading factor determining the sensitivity of Fmsy is the amount of curvature in the equilibrium yield curve near Fmsy. Another leading factor affecting the sensitivity of Bmsy is if the stock-recruitment function indicates low density-dependence in recruitment productivity. With some exceptions, we find that Fmsy will increase if the body growth rate or asymptotic size increases, 2) proportions mature increase at younger ages, and 3) natural mortality rates decrease and the Ricker stock-recruitment function is used. If the fishery selectivity function of age is monotone increasing then Fmsy will also usually increase if peak selectivity is shifted to an older age. Usually the signs of the slopes for Bmsy and Fmsy are the same.

中文翻译:

最大可持续产量参考点的局部敏感性方程。

全世界许多国家的定量渔业捕捞战略都基于最大可持续产量(MSY)参考点(RPs);特别是,产生MSY的捕捞死亡率(即Fmsy)和在Fmsy捕捞产生的种群生物量(Bmsy)。通常,人们对MSY RP对其输入和基本假设的敏感性非常感兴趣。我们扰动(即ω)输入以生成影响曲线,我们将其表示为Fmsy(ω)和Bmsy(ω)作为ω的函数。我们在原点(即无扰动)导出Fmsy(ω)和Bmsy(ω)斜率的诊断方程。这些方程式提供了一个概念性的理解,即Fmsy和Bmsy将如何响应输入的变化而变化,而这不是通过简单的计算敏感性分析得出的。我们表明,确定Fmsy灵敏度的一个主要因素是Fmsy附近的平衡屈服曲线中的曲率大小。影响Bmsy敏感性的另一个主要因素是,股票招聘功能是否表明招聘生产率的密度依赖性较低。除某些例外,我们发现,如果身体生长速度或渐近大小增加,Fmsy将增加; 2)在年轻时成熟的比例增加; 3)自然死亡率降低,并且使用了Ricker股票招聘功能。如果年龄的渔业选择性函数是单调增加的,那么如果将峰值选择性转移到较老的年龄,则Fmsy通常也会增加。通常,Bmsy和Fmsy的斜率符号相同。影响Bmsy敏感性的另一个主要因素是,股票招聘功能是否表明招聘生产率的密度依赖性较低。除某些例外,我们发现,如果身体生长速度或渐近大小增加,Fmsy将增加; 2)在年轻时成熟的比例增加; 3)自然死亡率降低,并且使用了Ricker股票招聘功能。如果年龄的渔业选择性函数是单调增加的,那么如果将峰值选择性转移到较老的年龄,则Fmsy通常也会增加。通常,Bmsy和Fmsy的斜率符号相同。影响Bmsy敏感性的另一个主要因素是,股票招聘功能是否表明招聘生产率的密度依赖性较低。除某些例外,我们发现,如果身体生长速度或渐近大小增加,Fmsy将增加; 2)在年轻时成熟的比例增加; 3)自然死亡率降低,并且使用了Ricker股票招聘功能。如果年龄的渔业选择性函数是单调增加的,那么如果将峰值选择性转移到较老的年龄,则Fmsy通常也会增加。通常,Bmsy和Fmsy的斜率符号相同。2)年龄越小,成熟的比例就越高; 3)自然死亡率降低,并且使用了Ricker股票招聘功能。如果年龄的渔业选择性函数是单调增加的,那么如果将峰值选择性转移到较老的年龄,则Fmsy通常也会增加。通常,Bmsy和Fmsy的斜率符号相同。2)年龄越小,成熟的比例就越高; 3)自然死亡率降低,并且使用了Ricker股票招聘功能。如果年龄的渔业选择性函数是单调增加的,那么如果将峰值选择性转移到较老的年龄,则Fmsy通常也会增加。通常,Bmsy和Fmsy的斜率符号相同。
更新日期:2019-11-01
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