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首页> 外文期刊>Fisheries Research >Reducing uncertainty in the biological basis of fisheries management bymeta-analysis of data from many populations: a synthesis
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Reducing uncertainty in the biological basis of fisheries management bymeta-analysis of data from many populations: a synthesis

机译：通过对许多人群的数据进行元分析，减少渔业管理生物学基础的不确定性：综合

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摘要

The uncertainty of the biological basis of fisheries management can be greatly reduced by examining many data sets and combining the results by various statistical methods. A major cause of uncertainty in the population biology of exploited species is the lack of very long time-series; this can be overcome by examining data on many populations (over 500 are examined here). We describe how meta-analysis can be used to address the fundamental problems of population biology and management, e.g. the relationship between spawner abundance and recruitment, the existence of depensation, the estimation of the limits of fishing. We conclude that meta-analysis, and related techniques, can considerably reduce the biological basis of uncertainty in fisheries management.
机译：通过检查许多数据集并通过各种统计方法将结果结合起来，可以大大减少渔业管理生物学基础的不确定性。被开发物种种群生物学不确定的主要原因是缺乏很长的时间序列。这可以通过检查许多人口的数据来克服（这里检查了500多个）。我们将介绍如何使用荟萃分析解决人口生物学和管理学等基本问题。产卵者数量与捕捞量之间的关系，鱼群的存在，捕捞极限的估计。我们得出的结论是，荟萃分析和相关技术可以大大减少渔业管理中不确定性的生物学基础。

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