Performance review of simple management procedures
Performance review of simple management procedures
复制标题
简单管理程序的绩效审查
DOI：
10.1093/icesjms/fsv212
复制
发表时间：
2016
影响因子：
3.3
通讯作者：
T. Kitakado and C. R. Davies
中科院分区：
文献类型：
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作者：
T. R. Carruthers;L.T. Kell;D.S. Butterworth;M. N. Maunder;H. F. Geromont;C. Walters;M. K. McAllister;R. Hillary;P. Levontin;T. Kitakado and C. R. Davies
使用管理战略评估方法，我们比较了一系列新的和已建立的渔业渔获量限制管理程序(MPS)。根据鱼类生活史类型、种群枯竭程度、数据质量和招募强度的自相关性来评估绩效。我们量化了每个MP相对于各种观测过程的稳健性。使用绝对生物量或种群消耗观察的方法提供了最好的整体性能，这在生活史类型、数据质量和种群消耗水平上是一致的。简单的MPS可以超越传统的数据受限方法和数据丰富的评估，后者使用捕获量和努力量数据的时间序列。MP性能对CATCH数据中的偏差最为敏感。我们的结果表明，经常针对特定股票调整MPS是重要的，尽管由于数据和分析资源不足，这在数据匮乏的评估场景中可能不可行。
Using a management strategy evaluation approach, we compare a range of new and established management procedures (MPs) for setting catch-limits in fisheries. Performance is evaluated with respect to fish life history type, level of stock depletion, data quality, and autocorrelation in recruitment strength. We quantify the robustness of each MP with respect to the various observation processes. Methods using observations of absolute biomass or stock depletion offer the best overall performance and this is consistent across life history types, data qualities, and stock depletion levels. Simple MPs can outperform conventional data-limited methods and data-rich assessments that use time-series of catch and effort data. MP performance is most sensitive to biases in catch data. Our results indicate that often tuning MPs for specific stocks is important, though this may not be viable in data-poor assessment scenarios because of insufficient data and analysis resources.