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Detection of ecological change in stream macroinvertebrate assemblages using single metric, multimetric or multivariate approaches

机译:使用单度量,多度量或多变量方法检测河流大型无脊椎动物组合中的生态变化

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The effects of nutrients on aquatic ecosystems are widespread and trying to understand the reaction of different response indicators is a complex issue. In this study, we used a data set of 21 stream site-samples situated in southern Sweden to assess the strength of single and multimetric indices and multivariate approaches for detecting the effects of nutrient enrichment on stream ecosystems using benthic macroinvertebrate communities. Our results showed both multimetric and multivariate approaches to be reliable tools for detecting the effects of nutrient enrichment on stream macroinvertebrate communities, superior to single metric approaches. In particular, the multimetric DJ index and the multivariate CA scores were sensitive (high coefficients of determination) to the stressor gradient and had high precision (low error). The Saprobic index was the 'best' of the six single metric approaches tested here. However, due to differences in the way taxa lists are managed in multimetric and multivariate approaches, we recommend that, if possible, both methods should be used in assessing the effects of nutrient enrichment of stream ecosystems.
机译:养分对水生生态系统的影响是广泛的,试图了解不同反应指标的反应是一个复杂的问题。在这项研究中,我们使用了一个位于瑞典南部的21个溪流站点样本的数据集,以评估单一和多指标指标的强度以及使用底栖大型无脊椎动物群落检测营养富集对溪流生态系统的多变量方法。我们的结果表明,多指标和多变量方法都是可靠的工具,可检测到营养丰富对河流大型无脊椎动物群落的影响,优于单指标方法。特别是,多指标DJ指数和多元CA分数对压力源梯度敏感(确定系数高),并且具有较高的精度(低误差)。腐殖质指数是此处测试的六种单指标方法中的“最佳”。但是,由于在多指标和多变量方法中管理分类单元列表的方式不同,我们建议,如果可能,应使用两种方法来评估河流生态系统养分富集的效果。

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