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首页> 外文期刊>Fisheries Research >Using knowledge from fishers and fisheries scientists to identify possible groundfish 'Essential Fish Habitats'
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Using knowledge from fishers and fisheries scientists to identify possible groundfish 'Essential Fish Habitats'

机译:利用渔民和渔业科学家的知识来确定可能的底层鱼类“基本鱼类栖息地”

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摘要

Fishers have often complained that standard fisheries survey data do not adequately reflect the grounds targeted by commercial fishers and hence scientists tend to make over-cautious estimates of fish abundance. Such criticisms are of particular importance if we are to make a creditable attempt to classify 'Essential Fish Habitat' using existing large-scale standard trawl surveys. Nevertheless, these data sets provide a powerful tool to examine consistent patterns in the temporal abundance of fish on a spatial scale. Here, we report a questionnaire survey of fishers that invited them to indicate the location of grounds of key importance for gadoid fishes. In addition, fishers were asked to indicate whether they had noticed key habitat features that might indicate the characteristics of EFH. A comparison of such areas as highlighted by fishers with data from standard groundfish surveys were broadly compatible for all three species of gadoids examined. Many sampling stations of these surveys fell outside areas highlighted by fishers as key fishing grounds/habitats. Fishers were able to provide usable biological observations that were consistently cross-referenced by several independent sources, for example the occurrence of haddock over brittlestar beds. We conclude that fishers' knowledge is an invaluable supplement to existing data sets that can help to better focus more detailed studies of EFH
机译:渔民经常抱怨标准的渔业调查数据不能充分反映商业渔民所针对的理由,因此,科学家往往对鱼的数量过分谨慎。如果我们要使用现有的大规模标准拖网调查对“必要的鱼类栖息地”进行分类,那么这些批评尤其重要。然而,这些数据集提供了一个强大的工具,可以在空间尺度上检查鱼类的时间丰富度的一致性模式。在这里,我们报告了对渔民的问卷调查,邀请他们指出对角质鱼类至关重要的地点。此外,要求渔民指出他们是否注意到了可能表明EFH特征的关键栖息地特征。渔民强调的这些区域与标准底栖鱼类调查数据的比较,对于所检查的所有三种类型的类神兽都具有广泛的兼容性。这些调查的许多采样站都落在渔民所强调的重要渔场/栖息地以外的地区。渔民能够提供有用的生物学观测资料,这些观测资料一直被几个独立的资料来源交叉引用,例如在脆性海床上出现黑线鳕。我们得出结论,渔民的知识是对现有数据集的宝贵补充,可以帮助更好地专注于EFH的更详细研究

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