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An interdisciplinary evaluation of the status and health of African lakefisheries using a rapid appraisal technique

机译:使用快速评估技术对非洲湖泊渔业状况和健康进行跨学科评估

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Data from biological, economic, sociological, and technological attribute lists for 32 African lake fisheries were analysed with multivariate statistics. Multidimensional scaling (MDS) was used to create two-dimensional graphic ordinations of the fisheries for each of these four attributes lists. An overall MDS ordination was also generated, based on the fisheries' scores in the four ordinations. Groupings in each MDS ordination were achieved through cluster analysis. Multiple correlations was used to help determine the attributes which were most important in creating the MDS ordinations. This work showed that relatively fast and simple assessments of the status of African lake and other fisheries can be achieved. The technique also provided insight to help resolve the confounding information often associated with fisheries assessment. Diagnostic information may also be a product of such investigations as this research identified African lake fisheries at risk of declining standards. Indeed, many of the fisheries studied demonstrated similar interdisciplinary symptoms of fisheries decline as other small-scale tropical fisheries.
机译:利用多元统计分析了来自32个非洲湖泊渔业的生物学,经济,社会学和技术属性列表的数据。多维缩放(MDS)用于为这四个属性列表中的每一个创建渔业的二维图形坐标。根据这四个标准中的渔业得分,还产生了总体MDS协调。每个MDS排序中的分组都是通过聚类分析实现的。使用多重相关性来帮助确定在创建MDS规范中最重要的属性。这项工作表明,可以对非洲湖泊和其他渔业状况进行相对快速和简单的评估。该技术还提供了见解,可帮助解决通常与渔业评估有关的混淆信息。诊断信息也可能是此类调查的产物,因为该研究确定了非洲湖泊渔业面临降低标准的风险。实际上,许多渔业研究表明,与其他小型热带渔业一样,渔业的跨学科症状也在下降。

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