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首页> 外文期刊>Knowledge and Management of Aquatic Ecosystems >Large-scale macroinvertebrate assemblage patterns from least-disturbed wadeable stream sites across the 48 contiguous US states
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Large-scale macroinvertebrate assemblage patterns from least-disturbed wadeable stream sites across the 48 contiguous US states

机译:来自美国48个毗邻州的受干扰最少的涉水流域的大型大型无脊椎动物集合体模式

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We quantified the patterns in macroinvertebrate assemblages and their associated environmental gradients from 457 least-disturbed wadeable stream sites across the 48 contiguous United States sampled as part of US EPA’s National Wadeable Stream Assessment. The majority of the variation in assemblage composition at the finest taxonomic resolution was related to substrate size, %fastwater habitat, water chemistry, as well as east-west geographic position and elevation. Sites were classified into 5 groups with cluster analysis, and group membership was predicted from environmental data using classification tree analysis (CTA). CTA correctly classified 69.1% of test sites and indicated that groups were distinguished by east-west location, and by factors distinguishing mountain streams from lowland/plains streams. Eastern and western groups that had similar environmental characteristics had very similar coarse scale taxa composition and convergent taxa traits. Ordinations confirmed that composition patterns using coarse level taxa resolution and taxa traits no longer reflected geographic distinctions, but were only related to non-geographic environmental factors. However, composition patterns based on traits, coarse taxa, and macroinvertebrates identified to the finest practical level were all correlated with the same dominant non-geographic environmental gradients.
机译:我们量化了48个连续美国的457个最少扰动的涉水站点中的大型无脊椎动物组合及其相关的环境梯度,这是美国EPA全国涉水流评估的一部分。在最佳分类学分辨率下,组合物组成的大部分变化都与底物大小,快速水生境百分比,水化学以及东西方地理位置和海拔高度有关。通过聚类分析将站点划分为5个组,并使用分类树分析(CTA)根据环境数据预测组成员。 CTA正确地对69.1%的测试地点进行了分类,并指出了按东西向位置以及区分山地溪流和低地/平原溪流的因素对各组进行了区分。具有相似环境特征的东方和西方群体具有非常相似的粗分类群组成和趋同的分类特征。条例确认,使用粗糙分类单元和分类单元特征的组成模式不再反映地理差异,而仅与非地理环境因素有关。但是,基于特征,粗分类群和确定为最佳实用水平的大型无脊椎动物的组成模式都与相同的主要非地理环境梯度相关。

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