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Global trade statistics lack granularity to inform traceability and management of diverse and high-value fishes

机译:全球贸易统计数据缺乏粒度,无法提供可追溯性和管理各种高价值鱼类的信息

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摘要

Illegal, unreported and unregulated (IUU) fishing and seafood supply chain fraud are multifaceted problems that demand multifaceted solutions. Here, we investigate the extent to which global fisheries trade data analyses can support effective seafood traceability and promote sustainable seafood markets using one of the world’s most highly prized, yet misunderstood, groups of fishes as a model: the snappers, family Lutjanidae. By collating and comparing production, import and export data from international and national statistical collections for the period 2006–2013, we show that official trade data severely lack the level of detail required to track snapper trade flows, uncover potential IUU activities and/or inform exploitation management of snappers and related species. Moreover, we contend that the lack of taxonomic granularity and use of vague generic names in trade records represent one of the most insidious impediments to seafood traceability, and suggest that widely used harmonised commodity classification systems should evolve to address these gaps.
机译:非法,不报告和不管制(IUU)捕鱼和海鲜供应链欺诈是多方面的问题,需要多方面的解决方案。在这里,我们以全球最受关注但仍被误解的鱼类群之一为模型:鲷鱼,Lutjanidae家族,来研究全球渔业贸易数据分析可在多大程度上支持有效的海鲜可追溯性并促进可持续海鲜市场。通过整理和比较2006-2013年期间国际和国家统计数据集的生产,进出口数据,我们发现官方贸易数据严重缺乏追踪鲷鱼贸易流量,发现潜在的IUU活动和/或提供信息所需的详细程度。鲷鱼和相关物种的开发管理。此外,我们认为缺乏分类粒度和在贸易记录中使用模糊的通用名称代表了对海产品可追溯性的最隐蔽的障碍之一,并建议应发展广泛使用的统一商品分类系统以解决这些差距。

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    Cawthorn DM; Mariani S;

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  • 年度 2017
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