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Electronic monitoring for improved accountability in western Pacific tuna longline fisheries

机译:西太平洋金枪鱼龙头渔业提高问责制的电子监控

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摘要

The collection of accurate fisheries catch data is critical to ensuring sustainable management of tuna fisheries, mitigating their environmental impacts and for managing transboundary fish stocks. These challenges are exemplified by the western Pacific tuna longline fishery, who's management includes 26 nations, but is informed by critically low coverage of fishing activities by scientific observers. The gap in observer data could be filled by electronic monitoring (EM), but there are few trials that span multiple nations. A large-scale trial of EM systems on tuna longliners based in Palau, Federated States of Micronesia and the Republic of the Marshall Islands, is reported on. Comparisons are made of catch rates of market and bycatch species in corresponding EM, logbook and human observer data. Retained species were under-reported in logbooks by up to three times and discards of many species were not reported in logbooks. Discards identified in the EM data included threatened species such as marine turtles. Catch rate estimates from EM data were comparable to those estimated by human observers. EM data recorded a higher species diversity of catches than logbook data. Analysis of the EM data indicated clusters of bycatch that were associated with specific fishing practices. These results suggest further expansion of EM could inform improved management of both target and bycatch species. Ultimately greater coverage of EM data could contribute to reconciling debates in international stock allocation schemes and support actions to reduce the impacts of the fishery on threatened bycatch species.
机译:准确的渔业捕获数据的集合对于确保金枪鱼渔业可持续管理,减轻其环境影响以及管理越境鱼类股票至关重要。这些挑战是由西太平洋金枪鱼龙头渔业的例子,他的管理层包括& 26个国家,但通过科学观察员的捕鱼活动的覆盖范围很低。观察者数据中的差距可以通过电子监测(EM)来填充,但跨越多个国家的试验很少。据报道,据报道,在帕劳,密克罗尼西亚联邦州和马歇尔群岛共和国的金枪鱼龙民系统大规模试验。比较是由相应的EM,日志和人类观察数据中的市场和兼捕物种的捕获率。在日志中报道保留物种高达三次,并且在日志中没有报告许多物种的丢弃。在EM数据中识别的丢弃包括威胁性物种,如海龟。来自EM数据的捕获利率估计与人类观察者估计的率相当。 EM数据记录了比日志数据更高的捕获物种多样性。与特定渔业实践相关的兼捕集群的分析。这些结果表明EM的进一步扩展可以为目标和兼捕物种的改善管理提供信息。最终,EM数据的覆盖范围可能有助于协调国际股票分配计划中的辩论,并支持措施来减少渔业对威胁的威胁物种的影响。

著录项

  • 来源
    《Marine policy》 |2021年第10期|104664.1-104664.8|共8页
  • 作者单位

    Griffith Univ Coastal & Marine Res Ctr Sch Environm & Sci Australian Rivers Inst Coasts & Estuaries Gold Coast Qld 4222 Australia;

    Griffith Univ Coastal & Marine Res Ctr Sch Environm & Sci Australian Rivers Inst Coasts & Estuaries Gold Coast Qld 4222 Australia|Univ Queensland Sch Biol Sci Brisbane Qld 4072 Australia;

    Griffith Univ Coastal & Marine Res Ctr Sch Environm & Sci Australian Rivers Inst Coasts & Estuaries Gold Coast Qld 4222 Australia;

    Nature Conservancy Asia Pacific Resource Ctr South Brisbane Qld 4101 Australia;

    Pelag Ecosyst Res Grp Honolulu HI USA|Nature Conservancy Arlington VA USA;

    Nature Conservancy Asia Pacific Resource Ctr South Brisbane Qld 4101 Australia|James Cook Univ ARC Ctr Excellence Coral Reef Studies Townsville Qld 4811 Australia;

    Nature Conservancy San Diego CA USA;

    Nature Conservancy Honolulu HI USA;

    Nature Conservancy Honolulu HI USA;

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

    Electronic monitoring; Longline fishery; Tuna; Bycatch; Elasmobranch; Joint species distribution model; Highly migratory species;

    机译:电子监控;延绳钓渔业;金枪鱼;兼捕;ElasmobRanch;联合物种分布模型;高度迁徙物种;

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