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Defining the stock structures of key commercial tunas in the Pacific Ocean II: Sampling considerations and future directions

机译:定义太平洋关键商业金枪鱼的股票结构II:采样考虑因素和未来方向

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摘要

Delineating the stock structure of highly-mobile, wide-ranging fishes subject to exploitation is a challenging task, yet one that is fundamental to optimal fisheries management. A case in point are stocks of skipjack tuna (Katsuwonus pelamis), yellowfin tuna (Thunnus albacares), bigeye tuna (Thunnus obesus) and albacore tuna (Thunnus alalunga) in the Pacific Ocean, which support important commercial, artisanal, subsistence, and recreational fisheries, and contribute roughly 70 % of global commercial tuna catches. Although some spatial and temporal structuring is recognised within these stocks, growing evidence from a range of approaches suggests that the stock structure of each tuna species is more complex than is currently assumed in both stock assessment and climate change models, and in management regimes. In a move towards improving understanding of the stock structure of skipjack, yellowfin, bigeye and South Pacific albacore tunas in the Pacific Ocean, an international workshop was held in Noumea, New Caledonia, in October 2018 to review knowledge about their movement and stock structure in the region, define and discuss the main knowledge gaps and uncertainties concerning their stock structure, and develop biological sampling approaches to support the provision of this information. Here, we synthesise the discussions of this latter component. For each tuna species, we identify several general sampling considerations needed to reduce uncertainty, including i) the need for broadscale sampling in space, ideally covering each species' distribution, targeting adults in spawning condition and adopting a phased approach; ii) the need for temporally-repeated sampling of the same geographical areas to assess stability in observed patterns over time; iii) the need to resolve patterns in spatial dynamics, such as those resulting from movements associated with the seasonal extensions of poleward flowing currents, from underlying stock structure, iv) the importance of adopting a multidisciplinary approach to stock identification, and v) the need for careful planning of logistics and coordination of sampling efforts across agencies. Finally, we present potential sampling designs that could be adopted to help overcome uncertainties around the initial identification of stocks and the provenance, mixing and proportional contributions of individuals in harvested assemblages, as well as how these uncertainties could be accounted for in fisheries management via the use of management strategy evaluation.
机译:划定高级移动的股票结构,受剥削的宽阔范围的鱼类是一个具有挑战性的任务,但最优渔业管理的基础是一个挑战的任务。一个案例是Skipjack金枪鱼(Katsuwonus Pelamis),黄鳍金枪鱼(Thunnus Albacares),Bigeye金枪鱼(Thunnus Obesus)和太平洋的Albacore金枪鱼(Thunnus Alalunga),支持重要的商业,手工,生活和娱乐渔业,并贡献大约70%的全球商业金枪鱼。虽然在这些股票中公认了一些空间和时间结构,但是来自一系列方法的越来越多的证据表明,每个金枪鱼物种的股票结构比目前在股票评估和气候变化模型中以及管理层制度中都有更复杂。在提高对太平洋的斯普拉菲省的股票结构的理解,在太平洋的股票结构上,国际研讨会在2018年10月在新喀里多尼亚举行的努美亚,审查了他们的运动和股票结构的知识该地区,定义和讨论其股票结构的主要知识差距和不确定性,并开发生物采样方法,以支持提供这些信息。在这里,我们综合了后一种组分的讨论。对于每个金枪鱼物种,我们确定了减少不确定性所需的几个一般采样考虑因素,包括i)在太空中的需求,理想地覆盖每个物种的分布,瞄准产卵状态并采用相平的方法; ii)需要对相同地理区域进行时间重复采样,以评估观察到的模式随时间的稳定性; III)需要解决空间动态的模式,例如由与季节性流动电流的季节性扩展相关的运动,从底层股票结构,iv)采用多学科方法对股票识别的重要性,而V)需要仔细规划物流与各机构采样措施的协调。最后,我们提出了可能采用的采样设计,以帮助克服收获的集会中股票的初始识别以及个体的出处,搅拌和比例贡献,以及如何通过这些不确定性算用于渔业管理管理策略评估的使用。

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  • 来源
    《Fisheries Research》 |2020年第1期|共17页
  • 作者单位

    Natl Inst Water &

    Atmospher Res Nelson 7010 New Zealand;

    Forum Fisheries Agcy Fisheries Management Div Honiara Solomon Islands;

    Pacific Community SPC Ocean Fisheries Programme BP D5 98848 Noumea New Caledonia;

    Ctr Oceans Conservat Int 2011 Crystal Dr Suite 600 Arlington VA 22202 USA;

    Marshall Isl Marine Resources Author Majuro Marshall Island;

    Australian Fisheries Management Author Canberra ACT 2609 Australia;

    Parties Nauru Agreement PNA Off Majuro 96960 Marshall Island;

    CSIRO Oceans &

    Atmosphere GPO Box 1538 Hobart Tas 7001 Australia;

    CSIRO Oceans &

    Atmosphere GPO Box 1538 Hobart Tas 7001 Australia;

    Minist Agr &

    Fisheries Apia Samoa;

    CSIRO Oceans &

    Atmosphere GPO Box 1538 Hobart Tas 7001 Australia;

    Western Pacific Reg Fishery Management Council Honolulu HI 96813 USA;

    CSIRO Oceans &

    Atmosphere GPO Box 1538 Hobart Tas 7001 Australia;

    Pacific Community SPC Ocean Fisheries Programme BP D5 98848 Noumea New Caledonia;

    NOAA Natl Marine Fisheries Serv Southwest Fisheries Sci Ctr 8901 La Jolla Shores Dr La Jolla CA 92037 USA;

    Pacific Community SPC Ocean Fisheries Programme BP D5 98848 Noumea New Caledonia;

    Ultramarine Consulting Brisbane Qld 4068 Australia;

    Univ Brest Inst Rech Dev IRD LEMAR IFREMER CNRS F-29280 Plouzane France;

    Pacific Community SPC Ocean Fisheries Programme BP D5 98848 Noumea New Caledonia;

    INRAE Agrocampus Ouest Ecol &

    Ecosyst Hlth ESE F-35042 Rennes France;

    Interamer Trop Tuna Commiss La Jolla CA 92037 USA;

    Univ South Pacific Sch Marine Studies Suva Fiji;

    Pacific Community SPC Ocean Fisheries Programme BP D5 98848 Noumea New Caledonia;

    Ctr Oceans Conservat Int 2011 Crystal Dr Suite 600 Arlington VA 22202 USA;

    Pacific Community SPC Ocean Fisheries Programme BP D5 98848 Noumea New Caledonia;

    Physalia Courses D-10249 Berlin Germany;

    FSM Natl Govt Natl Ocean Resource Management Author Kolonia Pohnpei Micronesia;

    Pacific Community SPC Ocean Fisheries Programme BP D5 98848 Noumea New Caledonia;

    Univ South Pacific Sch Marine Studies Suva Fiji;

    Pacific Community SPC Ocean Fisheries Programme BP D5 98848 Noumea New Caledonia;

    Pacific Community SPC Ocean Fisheries Programme BP D5 98848 Noumea New Caledonia;

    Pacific Community SPC Ocean Fisheries Programme BP D5 98848 Noumea New Caledonia;

    Univ South Pacific Sch Marine Studies Suva Fiji;

    Dragonfly Data Sci Wellington 6011 New Zealand;

    Natl Fisheries Author Port Moresby Papua N Guinea;

    Australian Bur Agr &

    Resource Econ &

    Sci Dept Agr Canberra ACT 2601 Australia;

    Pacific Community SPC Ocean Fisheries Programme BP D5 98848 Noumea New Caledonia;

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

    Tuna; Pacific Ocean; Movement; Spatial dynamics; Stock structure; Fisheries management;

    机译:金枪鱼;太平洋;运动;空间动力学;股票结构;渔业管理;

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