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Response of taxonomic groups in streams to gradients in resource and habitat characteristics

机译:响应流的分类群梯度在资源和栖息地的特征

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摘要

Compared to other ecosystem types, a wide variety of biomonitoring methods are available for rivers. Few studies have, however, compared the response of bioindicators (i.e. different river inhabiting taxonomic groups) to different types of environmental stress. We regressed diversity, taxonomic distinctness and assemblage composition of fish, invertebrates, macrophytes and benthic diatoms to multivariate gradients in nutrient enrichment and habitat degradation using data from 66 lowland and 77 mountain streams. In lowland streams, the composition of benthic diatom assemblages, measured by Detrended Correspondence Analysis, showed the strongest response to elevated nutrient concentrations (R-2 = 0.830), followed by macrophytes (0.711), fish (0.443) and invertebrates (0.391). Macrophyte richness was slightly better correlated with the habitat gradient (0.253) than diatom richness (0.235) and both were better predictors than either fish (0.147) or invertebrate (0.140) assemblage composition. For mountain streams, invertebrate assemblage composition was the best predictor of changes in nutrient concentrations (R-2 = 0.749), followed by macrophyte (0.396) and benthic diatom (0.325) assemblages and fish diversity (0.099). Invertebrate assemblage composition was also slightly better correlated with the habitat gradient (0.391) compared to macrophyte richness (0.323) and both were better than either benthic diatom assemblage composition (0.206) or fish abundance (0.161). Macrophyte and benthic diatom assemblages in lowland streams and fish and invertebrate assemblages in mountain streams were correlated with the other taxonomic groups, implying that these taxonomic groups may be used as surrogates for indicating wholesale change in diversity. Synthesis and applications. Our findings show that response trajectories differ between taxonomic groups and stressor, and even with stream type. For this reason, streams and other ecosystem type's response signatures and first and second principle relations should be considered in the selection of robust, complementary and cost-effective measures for biomonitoring. For instance, our findings of asymmetric response to stress show how different taxonomic groups can be used to strengthen inference of change.
机译:相对于其他生态系统类型多种多样可用的生物监测方法河流。适合作为响应(即不同的河流不同类型居住分类群)的环境压力。分类不同,组合构成鱼、无脊椎动物、植物和底栖生物硅藻在营养多元梯度使用数据浓缩和栖息地的退化从66年低地和77山间溪流。低地溪流底栖生物的成分硅藻组合,以去趋势对应分析,表现出最强的应对营养浓度升高(r2= 0.830),其次是大型植物(0.711),鱼(0.443)和无脊椎动物(0.391)。丰富的略好相关比硅藻丰富生境梯度(0.253)(0.235)和两个更好的预测鱼(0.147)或无脊椎动物(0.140)组合构成。无脊椎动物组合成分是最好的预测养分浓度的变化(r2 = 0.749),其次是大型植物(0.396)底栖硅藻(0.325)组合和鱼多样性(0.099)。作文也略好相关的与生境梯度(0.391)相比大型植物丰富度(0.323),两人都更好比底栖硅藻组合构成(0.206)或鱼类丰度(0.161)。在低地溪流和底栖硅藻组合鱼类和无脊椎动物组合在山流与其他分类组,这意味着这些分类群的可能被用作指示代理批发多样性的变化。我们的研究结果表明,响应轨迹在不同分类群和压力,即使流类型。和其他生态系统类型的响应特征应该和第一和第二原则的关系被选择的健壮,补充和具有成本效益的措施生物监测。不对称对压力的反应显示出不同分类群可以加强使用推理的变化。

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