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Definition Procedures Have Little Effect On Performance Of Environmental Classifications Of Streams And Rivers

机译:定义程序对河流和河流环境分类的性能影响很小

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Mapped environmental classifications are defined using various procedures, but there has been little evaluation of the differences in their ability to discriminate variation in independent ecological characteristics. We tested the performance of environmental classifications of the streams and rivers of France that had been defined from the same environmental data using geographic regionali-zation and numerical classification of individual river valley segments. Test data comprised invertebrate assemblages, water chemistry, and hydrological indexes obtained from sites throughout France. Classification performance was measured by analysis of similarity (ANOSIM). Geometric regions defined by a regular grid and without regard to environmental variables and a posteriori classifications based on clustering the test datasets defined lower and upper bounds of performance for a given number of classes. Differences in classification performances were generally small. The ANOSIM statistics for the a posteriori classifications were around twice that of all environmental classifications, including geometrically defined regions. The hydro-ecoregions performed slightly better for the invertebrate data and the network classification performed slightly better for the chemistry and hydrological data. Our results indicate that environmental classifications that are defined using different procedures can be comparable in terms of their ability to discriminate variation of ecological characteristics and that alleged differences in performance arising from different classification procedures can be small relative to unexplained variation. We conclude that definition procedures might have little effect on the performance of large-scale environmental classifications and decisions over which procedures to use should be based primarily on pragmatic considerations.
机译:映射的环境分类是使用各种程序定义的,但是几乎没有评估它们区分独立生态特征变化的能力。我们测试了法国河流和河流的环境分类的性能,该分类是使用地理区域划分和单个河谷段的数值分类从相同的环境数据中定义的。测试数据包括从法国各地获得的无脊椎动物组合,水化学和水文指数。分类性能通过相似性分析(ANOSIM)进行衡量。由规则网格定义的几何区域,不考虑环境变量和后验分类,基于对测试数据集进行聚类,定义了给定数量类的性能下限和上限。分类表现的差异通常很小。后验分类的ANOSIM统计数据约为所有环境分类(包括几何定义区域)的两倍。水生生态区的无脊椎动物数据表现较好,而网络分类的化学和水文数据则表现较好。我们的结果表明,使用不同程序定义的环境分类在区分生态特征变化的能力方面具有可比性,并且相对于无法解释的变化,由不同分类程序引起的性能差异据称可能很小。我们得出结论,定义程序可能对大规模环境分类的性能影响很小,而决定使用哪种程序的决定主要应基于务实的考虑。

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