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Comment on: 'Managing fisheries from space: Google Earth improves estimates of distant fish catches' by Al-Abdulrazzak and Pauly

机译:评论:Al-Abdulrazzak和Pauly的“从太空管理渔业:Google Earth改善了对远距离鱼获物的估计”

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摘要

This Comment was prompted by the substantial difference in weir catch estimates in the Gulf between (ⅰ) those reported by Al-Abdulrazzak and Pauly (2014. Managing fisheries from space: Google Earth improves estimates of distant fish catches. ICES Journal of Marine Science, 71(3), 450-454), who used Google Earth to count weir numbers, and (ⅱ) those available from official national statistics provided by two major weir fishing countries (Bahrain and Iran). Satellite imageries, including Google Earth, are powerful tools for collecting data on visible structures when verified with adequate ground validation. However, an extension of their contribution to improving overall catch estimates is rather limited without having solid information on daily catch, which will substantially differ according to time and area, and fishing season lengths. It was noted that Al-Abdulrazzak and Pauly (2013) introduced positive biases through their interpretation of Google Earth images and data treatment. They included several assumptions, such as removing the impact of poor visibility, correcting grids of low resolutions, estimating number of unseen weirs, and applying daily catch rates higher than referenced observed values. The overall extent of such potential positive bias could be more than six times that which we considered reasonable. This Comment also corrects misconceptions about "FAO catch data", discusses other available national data, and introduces the existence of the Regional Commission for Fisheries (RECOFI), a mechanism for fisheries management in the Gulf region, and its recent activities to collect more complete catch and effort data separated by gear.
机译:这项评论是由Al-Abdulrazzak和Pauly(2014年)报告的(ⅰ)海湾中的堰式渔获量估计值之间的巨大差异引起的。《从太空管理渔业:Google Earth改进了远距离鱼获量的估计值。ICES海洋科学, 71(3),450-454),他们使用Google Earth来计算堰的数量,以及(ⅱ)可以从两个主要的堰渔国(巴林和伊朗)提供的官方国家统计中获得的数量。卫星图像(包括Google Earth)是功能强大的工具,可以通过适当的地面验证来收集可见结构上的数据。但是,在没有可靠的日常捕捞信息的情况下,它们对提高总体捕捞估计数的贡献的扩展相当有限,这将根据时间和地区以及捕鱼季节的长短而有很大不同。值得注意的是,Al-Abdulrazzak和Pauly(2013)通过对Google Earth图像和数据处理的解释引入了积极的偏见。它们包括几个假设,例如消除可见度差的影响,校正低分辨率的网格,估计看不见的堰的数量以及应用高于参考观测值的每日捕获率。这种潜在的积极偏见的总体范围可能是我们认为合理的范围的六倍以上。该评论还纠正了对“粮农组织渔获量数据”的误解,讨论了其他可用的国家数据,并介绍了区域渔业委员会(RECOFI)的存在,海湾地区的渔业管理机制及其最近开展的收集更完整活动的活动捕获量和努力量数据按齿轮分开。

著录项

  • 来源
    《ICES Journal of Marine Science》 |2014年第7期|1921-1926|共6页
  • 作者单位

    Food and Agriculture Organization of the United Nations, Statistics and Information Branch, Fisheries and Aquaculture Department, Rome, Italy;

    Food and Agriculture Organization of the United Nations, Statistics and Information Branch, Fisheries and Aquaculture Department, Rome, Italy;

    Food and Agriculture Organization of the United Nations, Statistics and Information Branch, Fisheries and Aquaculture Department, Rome, Italy;

    Food and Agriculture Organization of the United Nations, Regional Office for the Near East and North Africa, Cairo, Egypt;

    Food and Agriculture Organization of the United Nations, Subregional Office for the Gulf Cooperation Council States and Yemen, Abu Dhabi, United Arab Emirates;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    FAO catch statistics; Google Earth images; Gulf weirs; national catch statistics; RECOFI;

    机译:粮农组织产量统计;Google Earth图片;海湾堰;国家产量统计;雷科菲;
  • 入库时间 2022-08-18 03:34:56

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