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首页> 外文期刊>ICES Journal of Marine Science >Censored catch data in fisheries stock assessment
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Censored catch data in fisheries stock assessment

机译：渔业种群评估中的经审查的捕捞数据

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Landings statistics can be lower than true catches because many fish are discarded or landed illegally. Since many discards do not survive, treating landings as true catches can lead to biased stock assessments. This paper proposes treating catch as censored by bounding it below by the landings, L, and above by cL (for scalar c > 1). We demonstrate the approach with a simulation study, using a Schaefer surplus production model. Parameters were estimated in a Bayesian framework with BUGS software using two sets of priors. Both the traditional true-catch method and a survey-and-effort method (which was landings free) performed worse on average than the censored approach, as measured by the Bayes risk associated with estimates of maximum sustainable yield (MSY) and of an index of depletion (X). Recursive partitioning (regression trees) was used to associate simulation parameters to best-performing methods, showing that higher commercial fish catchability favoured the censored method at estimating X. In conclusion, censored methods provide a means of dealing with discarding and misreporting that can outperform some traditional alternatives.
机译：由于许多鱼类被非法丢弃或着陆，因此登陆的统计数字可能低于真实的捕获量。由于许多丢弃物无法生存，因此将着陆量视为真实捕获量可能导致存量评估有偏差。本文建议将捕获量视作删减，将捕获量的下限限制为上标L，将上限限制为cL（对于标量c> 1）。我们使用Schaefer剩余生产模型通过仿真研究来证明该方法。使用两组先验在BUGS软件的贝叶斯框架中估计参数。根据贝叶斯风险与最大可持续产量（MSY）和指数的估计值相关联的衡量，传统的“真正捕捞”方法和“调查努力”方法（无着陆）的平均表现都比审查方法差。消耗（X）。递归分区（回归树）用于将模拟参数与性能最佳的方法相关联，这表明较高的商业鱼类可捕性在估计X时更倾向于采用删失方法。总而言之，删失方法提供了一种处理丢弃和误报的方法，其性能可能优于某些方法传统的替代品。

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