Estimating high resolution trawl fishing effort from satellite-based vessel monitoring system data

Estimating high resolution trawl fishing effort from satellite-based vessel monitoring system data
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DOI:
10.1093/icesjms/fsl026
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发表时间:
2007-03-01
影响因子:
3.3
通讯作者:
Houghton, Carla A.
Houghton, Carla A.
中科院分区:
农林科学2区
文献类型:
--
作者:
Mills, Craig M.;Townsend, Sunny E.;Houghton, Carla A.

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被引文献

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需要对拖网捕捞努力进行高分辨率估计,以支持对拖网捕捞对物种、生境和生态系统进程的影响的研究,并监测对区域关闭和其他管理行动的反应。卫星船只监测系统是为渔业控制和执法而设计的,但它们在多个尺度上提供了关于拖网捕捞活动的空间和时间模式的潜在有价值的来源信息。基于对北海英国横梁拖网渔船VMS数据的分析,描述了一种基于VMS数据的最小和最大潜在拖网作业空间范围来识别拖网活动和估计捕捞强度的方法。识别拖网和轮船行为的最佳方法结合了速度和方向性规则,分别在99%和95%的情况下正确识别了拖网和轮船。使用速度和方向过滤的VMS数据,可以在1公里到100公里(10000公里(2))的网格尺度范围内,以单位时间单位面积受影响的面积来报告拖网作业。在网格单元分辨率为3公里或更小的情况下,可以准确地表示拖网作业。
High resolution estimates of trawling effort are needed to underpin studies of trawling impacts on species, habitats, and ecosystem processes, and to monitor responses to area closure and other management actions. Satellite-based vessel monitoring systems (VMS) were designed for fishery control and enforcement, but they provide potentially valuable source information on spatial and temporal patterns of trawling activity at multiple scales. Based on an analysis of VMS data for UK beam trawlers in the North Sea, a method is described for identifying trawling activity and estimating fishing intensity based on the minimum and maximum potential spatial extent of trawling effort from VMS data. The optimal method for identifying trawling and steaming behaviour combined speed and directionality rules and correctly identified trawling and steaming in 99% and 95% of cases, respectively. Using speed- and directionality-filtered VMS data, trawling effort can be reported as area impacted per unit time per unit area at a range of grid scales from 1 km to 100 km (10 000 km(2)). Trawling effort is accurately represented at a grid cell resolution of 3 km or less.