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Impacts of hydroelectric power stations on Trichoptera assemblages in four rivers in NW Spain

机译:水力发电站对西班牙西北部四条河流中毛鳞翅目昆虫的影响

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In this work, we studied Trichoptera assemblages in different rivers in NW Spain affected by hydroelectric power stations, and assessed the influence of environmental variables on the distribution of species. Twenty sites in four rivers were sampled during eight sampling campaigns (2001-2002). The fauna was collected with a quantitative Surber sampler. In addition, several physical, chemical and habitat variables were measured at each site. A distance-based redundancy analysis (dbRDA) was done to investigate the relationship between the assemblages and the environmental variables. Assemblage composition was analyzed by non-metric multi-dimensional scaling (NMDS) and differences between groups were tested using the analysis of similarity (ANOSIM) considering two grouping variables, the river basin and the position of the site (location). The SIMPER routine was used to verify species contribution to dissimilarity. A total of 53 taxa of Trichoptera belonging to 16 families were found, 52% of which were Iberian endemics. The dbRDA revealed that altitude, conductivity, total suspended solids, temperature and location were the variables that most influenced the studied fauna. According to the NMDS analysis, significant differences in faunal composition were recorded between up and downstream sites and between river basins. The fauna seems to respond to a longitudinal gradient, but also to the impact of hydropower stations. The main effects we observed were variations in water temperature and changes in fauna composition, which may be due to the presence of hydropower stations. (C) 2015 Elsevier GmbH. All rights reserved.
机译:在这项工作中,我们研究了受水力发电站影响的西班牙西北部不同河流中的毛鳞翅目昆虫组合,并评估了环境变量对物种分布的影响。在八次采样活动(2001-2002年)中,对四条河流中的二十个站点进行了采样。用定量的Surber采样器收集动物。此外,在每个地点还测量了一些物理,化学和栖息地变量。进行了基于距离的冗余分析(dbRDA),以研究组件与环境变量之间的关系。通过非度量多维标度(NMDS)分析装配组合物,并使用相似性分析(ANOSIM)考虑两个分组变量,即流域和工地位置(位置)来测试组之间的差异。 SIMPER例程用于验证物种对相似性的贡献。总共发现了属于16个科的毛鳞科的53个分类单元,其中52%是伊比利亚特有种。 dbRDA揭示了海拔,电导率,总悬浮固体,温度和位置是最影响所研究动物的变量。根据NMDS分析,在上游站点和下游站点之间以及流域之间记录到动物组成上的显着差异。该动物群似乎对纵向梯度有所响应,但也对水电站的影响做出响应。我们观察到的主要影响是水温变化和动物组成变化,这可能是由于水电站的存在。 (C)2015 Elsevier GmbH。版权所有。

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