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Comparing Ecoregional Classifications for Natural Areas Management in the Klamath Region, USA

机译:美国克拉马斯地区自然区域管理的生态区域分类比较

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We compared three existing ecoregional classification schemes (Bailey, Omernik, and World Wildlife Fund) with two derived schemes (Omernik Revised and Climate Zones) to explore their effectiveness in explaining species distributions and to better understand natural resource geography in the Klamath Region, USA. We analyzed presence/absence data derived from digital distribution maps for trees, amphibians, large mammals, small mammals, migrant birds, and resident birds using three statistical analyses of classification accuracy (Analysis of Similarity, Canonical Analysis of Principal Coordinates, and Classification Strength). The classifications were roughly comparable in classification accuracy, with Omernik Revised showing the best overall performance. Trees showed the strongest fidelity to the classifications, and large mammals showed the weakest fidelity. We discuss the implications for regional biogeography and describe how intermediate resolution ecoregional classifications may be appropriate for use as natural areas management domains.
机译:我们将现有的三个生态区域分类方案(Bailey,Omernik和世界野生动物基金会)与两个衍生方案(Omernik修订版和气候区)进行了比较,以探讨它们在解释物种分布和更好地了解美国克拉马斯地区自然地理方面的有效性。我们使用分类准确性的三种统计分析(相似性分析,主坐标的典范分析和分类强度)分析了从数字分布图得出的树木/两栖动物,大型哺乳动物,小型哺乳动物,迁徙鸟类和常住鸟类的有无数据。 。这些分类在分类精度上大致可比,Omernik Revised显示最佳的整体性能。树木显示出最强的保真度,大型哺乳动物显示出最弱的保真度。我们讨论了对区域生物地理学的影响,并描述了中分辨率生态区域分类如何适合用作自然区域管理领域。

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