Decision Interval Cumulative Sum Harvest Control Rules (DI-CUSUM-HCR) for managing fisheries with limited historical information

Decision Interval Cumulative Sum Harvest Control Rules (DI-CUSUM-HCR) for managing fisheries with limited historical information
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用于管理历史信息有限的渔业的决策间隔累积收获量控制规则 (DI-CUSUM-HCR)

DOI:
10.1016/j.fishres.2014.09.009
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发表时间:
2015
期刊:
影响因子:
2.4
通讯作者:
Pazhayamadom D
Pazhayamadom D
中科院分区:
农林科学2区
文献类型:
--
作者:
Pazhayamadom D

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本研究探讨了如果鱼类种群的历史信息有限,是否可以使用累积和 (CUSUM) 控制图来管理该鱼类种群。我们使用“有限”一词是指对相关种群指标及其各自的与渔业管理目标一致的控制手段(或参考点)进行最少数量的历史观察。在本研究中,使用决策区间累积和(DI-CUSUM)控制图来监测模拟渔业的两个指数;补充指标和大型鱼类指标(LFI)。随后使用收获控制规则 (HCR) 来管理渔业,该规则仅在 DI-CUSUM 检测到指标趋势出现重大偏差时触发。 HCR 是使用工程过程控制理论中采用的方法构建的,其中总允许捕捞量的调整是通过估计指标时间序列中的变化大小来确定的。我们发现,无论鱼类种群的初始状态如何,监测补充和 LFI 的综合指标在控制渔业方面更成功。我们讨论如何将 DI-CUSUM 纳入数据贫乏渔业的管理流程中。
This study examines whether a fish stock can be managed using cumulative sum (CUSUM) control charts if limited historical information is available for the fish stock. We use the term ‘limited’ in the sense of having a minimal number of historical observations of relevant stock indicators and their respective control means (or reference points) that are aligned with the objectives of fisheries management. In the present study, a Decision Interval Cumulative Sum (DI-CUSUM) control chart was used to monitor two indices from a simulated fishery; the recruitment indicator and the large fish indicator (LFI). The fishery was subsequently managed using a harvest control rule (HCR) that triggered only when a significant deviation in the indicator trend was detected by the DI-CUSUM. The HCR was constructed using methods adopted from engineering process control theory where the adjustment in total allowable catch was determined by estimating the size of the shift in the indicator time series. We found that monitoring a combined indicator of both recruitment and LFI was more successful in controlling the fishery irrespective of the initial state of the fish stock. We discuss how DI-CUSUM could be incorporated into the management process for data poor fisheries.
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