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首页> 外文期刊>ICES Journal of Marine Science >An optimized catch-only assessment method for data poor fisheries
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An optimized catch-only assessment method for data poor fisheries

机译：一种针对数据贫乏渔业的优化的仅捕捞评估方法

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摘要

Catch statistics are perhaps the most commonly collected data and are widely available for many fisheries. However, it is currently difficult to provide scientific advice for management purposes using only catch data. This article presents a catch-only method for stock assessment of data-poor fisheries. It uses time series of catches and two priors, one for the intrinsic population growth rate derived from life history parameters, and another for stock depletion based on catch trends. The method applies an optimization algorithm to search the potential parameter space. All computations are model or equation based rather than using predefined rules. The utility of this method is demonstrated by applying it to 13 stocks in Australia that are assessed using Stock Synthesis-an assessment package that can make use of a variety of data sources. The estimated parameters, including carrying capacity, intrinsic population growth rate, maximum sustainable yield, and depletion from the catch-only method are broadly comparable with those from the full assessments. The circumstances in which the method may perform poorly, such as longer-term changes in productivity and episodic recruitment, are highlighted.
机译：渔获量统计数据可能是最常收集的数据，并且可以广泛用于许多渔业。但是，目前仅使用捕获数据很难为管理目的提供科学建议。本文介绍了一种对数据匮乏的渔业进行种群评估的仅捕获方法。它使用渔获量的时间序列和两个先验值，一个用于根据生活史参数得出的固有人口增长率，另一个用于根据渔获量趋势的种群枯竭。该方法应用优化算法来搜索潜在参数空间。所有计算都是基于模型或方程式的，而不是使用预定义的规则。该方法的实用性通过将其应用于澳大利亚的13只股票（通过股票综合评估）进行评估，该股票可以使用多种数据源进行评估。估计参数，包括承载力，固有人口增长率，最大可持续产量和仅捕捞方法的耗竭，与全面评估的参数大致可比。强调了该方法可能效果不佳的情况，例如生产率的长期变化和突发性招聘。

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