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首页> 外文期刊>Fisheries Research >Extending integrated stock assessment models to use non-depensatory three-parameter stock-recruitment relationships
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Extending integrated stock assessment models to use non-depensatory three-parameter stock-recruitment relationships

机译:扩展综合股票评估模型以使用非关注三参数招聘关系

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Stock assessments based on the integrated paradigm often include an underlying stock-recruitment relationship. This, along with estimates of fishery selectivity and biological parameters, allows the biomass and fishing mortality associated with Maximum Sustainable Yield (B-MSY and F-MSY respectively) to be calculated. However, the estimates of these quantities may differ from the proxies assumed in the harvest control rules that are used to provide management advice. Moreover, the estimated values for B-MSY and F-MSY are related functionally in population dynamics models based on 2-parameter stock-recruitment relationships such as the commonly used Beverton-Holt or Ricker relationships. Use of 2-parameter stock-recruitment relationships (SRRs) consequently restricts the ability to fully quantify the uncertainty associated with estimating B-MSY and F-MSY because 2-parameter SRRs restrict the potential range of values for B-MSY/B-0. In principle, B-MSY/B-0 and F-MSY can be more independent if the stock-recruitment relationship is more general than these 2-parameter SRRs. This paper outlines eleven potential 3-parameter stock-recruitment relationships and evaluates them in terms of whether they are able to match a wide range of specifications for B-MSY (expressed relative to unfished spawning stock biomass, B-0) and F-MSY (expressed relative to natural mortality, M). Of the eleven 3-parameter stock-recruitment relationships considered, the Ricker-Power stock-recruitment relationship is found to best satisfy the characteristics of (a) being able to mimic a wide range of B-MSY/B-0 and F-MSY/M values, (b) not to lead to negative recruitment for biomasses between 0 and B-0, and (c) not to lead to increasing recruitment while approaching the limit of zero population size. Bayesian assessments of three example groundfish species off the US west coast (aurora rockfish, petrale sole, and cabezon) are conducted using Simple Stock Synthesis based on the Beverton-Holt and Ricker-Power stock-recruitment relationships to illustrate some of the impacts of allowing for a 3-parameter stock-recruitment relationship.
机译:基于综合范式的股票评估通常包括潜在的股票招聘关系。这与渔业选择性和生物参数的估计一起允许计算与最大可持续产量(分别的B-MSY和F-MSY)相关的生物质和捕捞死亡率。然而,这些数量的估计可以与用于提供管理建议的收获控制规则中的收获控制规则中的代理不同。此外,B-MSY和F-MSY的估计值在于基于2参数股票招聘关系的人群动态模型相关,例如常用的贝弗顿-Holt或Ricker关系。因此,使用2参数招聘关系(SRRS)限制了完全量化与估计B-MSY和F-MSY相关的不确定性的能力,因为2参数SRRS限制了B-MSY / B-0的潜在值范围。原则上,如果股票招聘关系比这2参数SRR更广泛,B-MSY / B-0和F-MSY可以更独立。本文概述了11个潜在的3参数招聘关系,并根据它们是否能够匹配B-MSY的广泛规格(相对于未被捕获的产卵股,B-0)和F-MSY来评估它们(表达相对于自然死亡率,m)。考虑的11个参数招聘关系中,发现Ricker-Power ock-Recuitment关系最能满足(a)的特点,以模仿各种B-MSY / B-0和F-MSY / m值,(b)不要导致在0到B-0之间的生物量负募集,(c)在接近零种群大小的极限时不会导致招生增加。三个例子的贝叶斯评估在美国西海岸(极光Rockfish,Petrale Sod和Cabezon)的三种实例物种使用简单的股票综合,基于Beverton-Holt和Ricker-Power Stock-Recuitment Moreforts来说明允许的一些影响对于3参数招聘关系。

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