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Scale effects on the performance of niche-based models of freshwater fish distributions: Local vs. upstream area influences

机译:基于利基的淡水鱼类分布模型的规模效应:本地与上游区域影响

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摘要

Niche-based species distribution models (SDMs) play a central role in studying species response to environmental change. Effective management and conservation plans for freshwater ecosystems require SDMs that accommodate hierarchical catchment ordering and provide clarity on the performance of such models across multiple scales. The scale-dependence components considered here are: (a) environment spatial structure, represented by hierarchical catchment ordering following the Strahler system; (b) analysis grain, that included 1st to 5th order catchments; and (c) response grain, the grain at which species respond most, represented by local and upstream catchment area effects. We used fish occurrence data from the Danube River Basin and various factors representing climate, land cover and anthropogenic pressures. Our results indicate that the choice of response grain local vs. upstream area effects and the choice of analysis grain, only marginally influence the performance of SDMs. Upstream effects tend to better predict fish distributions than corresponding local effects for anthropogenic and land cover factors, in particular for species sensitive to pollution. Key predictors and their relative importance are scale and species dependent. Consequently, choosing proper species dependent spatial scales and factors is imperative for effective river rehabilitation measures.
机译:基于利基的物种分布模型(SDMS)在研究物种对环境变化的反应方面发挥着核心作用。淡水生态系统的有效管理和保护计划需要SDMS,可容纳分级集水区排序,并在多种尺度上提供这些模型的性能的清晰度。这里考虑的尺度依赖性分量是:(a)环境空间结构,由施特拉赫系统之后的分层集水顺序表示; (b)分析谷物,其中包括第一至第5阶流域;和(c)响应谷物,物种最应对的谷物,由本地和上游集水区面积的影响表示。我们使用来自多瑙河流域的鱼类发生数据和代表气候,陆地覆盖和人为压力的各种因素。我们的结果表明,响应粮食本地效果的选择和分析谷物的选择,只影响SDMS的性能。上游效果倾向于更好地预测鱼类分布,而不是对人为和陆地覆盖因素的相应局部效应,特别是对于对污染敏感的物种。关键预测因子及其相对重要性是规模和物种依赖。因此,选择适当的物种依赖的空间尺度和因素是有效的河流康复措施所必需的。

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