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首页> 外文期刊>ICES Journal of Marine Science >Estimating high resolution trawl fishing effort from satellite-based vessel monitoring system data
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Estimating high resolution trawl fishing effort from satellite-based vessel monitoring system data

机译：从基于卫星的船只监测系统数据估算高分辨率拖网捕捞工作量

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摘要

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.
机译：需要对拖网努力进行高分辨率估计，以支持对物种，生境和生态系统过程的拖网影响进行研究，并监测对区域封闭和其他管理行动的反应。基于卫星的船只监测系统（VMS）专为渔业控制和执法而设计，但它们提供了有关多尺度拖网活动时空格局的潜在有价值的源信息。基于对北海英国拖网拖网渔船的VMS数据的分析，介绍了一种方法，用于根据VMS数据中拖网努力的最小和最大潜在空间范围，识别拖网活动并估算捕鱼强度。识别拖网和汽蒸行为的最佳方法是结合速度和方向规则，并分别正确识别拖网和汽蒸的情况分别为99％和95％。使用速度和方向过滤的VMS数据，拖网工​​作量可以报告为在1 km至100 km（10000 km〜2）的网格范围内每单位时间每单位时间受影响的面积。在3 km或更小的网格单元分辨率下可以准确表示拖网努力。

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