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Optimal allocation of Red List assessments to guide conservation of biodiversity in a rapidly changing world

机译:红色清单评估的最佳分配,从而在快速改变世界中保护生物多样性

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The IUCN Red List is the most extensive source of conservation status assessments for species worldwide, but important gaps in coverage remain. Here, we demonstrate the use of a spatial prioritization approach to efficiently prioritize species assessments to achieve increased and up-to-date coverage efficiently. We focus on freshwater fishes, which constitute a significant portion of vertebrate diversity, although comprehensive assessments are available for only 46% of species. We used MARXAN to identify ecoregions for future assessments that maximize the coverage of species while accounting for anthropogenic stress. We identified a set of priority regions that would help assess one-third (ca 4000 species) of all freshwater fishes in need of assessment by 2020. Such assessments could be achieved without increasing current investment levels. Our approach is suitable for any taxon and can help ensure that species threat assessments are sufficiently complete to guide global conservation efforts in a rapidly changing world.
机译:IUCN Red List是全球物种的最广泛的保护状态评估来源,但覆盖范围的重要差距仍然存在。在这里,我们展示了使用空间优先级排序方法,以有效地优先考虑物种评估,以有效地实现增加和最新的覆盖。我们专注于淡水鱼,虽然综合评估只有46%的物种可用。我们使用Marxan来识别未来评估的生态,以最大化物种的覆盖范围,同时占人为应激。我们确定了一组优先区,有助于评估需要评估的所有淡水鱼类的三分之一(CA 4000种)。在不增加当前投资水平的情况下可以实现这些评估。我们的方法适用于任何分类群,可以帮助确保物种威胁评估足够完整,以指导在快速变化的世界中的全球保护努力。

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