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Environmental factors prevail over dispersal constraints in determining the distribution and assembly of Trichoptera species in mountain lakes

机译:在确定高山湖泊中毛鳞翅目物种的分布和聚集方面,环境因素胜过了扩散限制

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AbstractAiming to elucidate whether large-scale dispersal factors or environmental species sorting prevail in determining patterns of Trichoptera species composition in mountain lakes, we analyzed the distribution and assembly of the most common Trichoptera (Plectrocnemia laetabilis, Polycentropus flavomaculatus, Drusus rectus, Annitella pyrenaea, and Mystacides azurea) in the mountain lakes of the Pyrenees (Spain, France, Andorra) based on a survey of 82 lakes covering the geographical and environmental extremes of the lake district. Spatial autocorrelation in species composition was determined using Moran's eigenvector maps (MEM). Redundancy analysis (RDA) was applied to explore the influence of MEM variables and in-lake, and catchment environmental variables on Trichoptera assemblages. Variance partitioning analysis (partial RDA) revealed the fraction of species composition variation that could be attributed uniquely to either environmental variability or MEM variables. Finally, the distribution of individual species was analyzed in relation to specific environmental factors using binomial generalized linear models (GLM). Trichoptera assemblages showed spatial structure. However, the most relevant environmental variables in the RDA (i.e., temperature and woody vegetation in-lake catchments) were also related with spatial variables (i.e., altitude and longitude). Partial RDA revealed that the fraction of variation in species composition that was uniquely explained by environmental variability was larger than that uniquely explained by MEM variables. GLM results showed that the distribution of species with longitudinal bias is related to specific environmental factors with geographical trend. The environmental dependence found agrees with the particular traits of each species. We conclude that Trichoptera species distribution and composition in the lakes of the Pyrenees are governed predominantly by local environmental factors, rather than by dispersal constraints. For boreal lakes, with similar environmental conditions, a strong role of dispersal capacity has been suggested. Further investigation should address the role of spatial scaling, namely absolute geographical distances constraining dispersal and steepness of environmental gradients at short distances.
机译:摘要为了阐明在确定高山湖泊中毛鳞翅目物种组成模式时是否普遍采用大型扩散因素或环境物种分类,我们分析了最常见的毛鳞翅目(P翅目,Poly虫,百日草,直角杜鹃,火棘,和比利牛斯山脉(西班牙,法国,安道尔)的高山湖泊中的Mystacides azurea),基于对82个湖泊的调查,涵盖了该湖区的地理和环境极端情况。使用Moran特征向量图(MEM)确定物种组成中的空间自相关。应用冗余分析(RDA)来研究MEM变量和湖内以及集水区环境变量对鳞翅目昆虫组合的影响。方差分区分析(部分RDA)揭示了物种组成变化的比例,该比例可以唯一地归因于环境可变性或MEM变量。最后,使用二项式广义线性模型(GLM)分析了与特定环境因素相关的单个物种的分布。毛鳞翅目组合显示空间结构。但是,RDA中最相关的环境变量(即温度和湖岸木本植物集水区)也与空间变量(即海拔和经度)相关。部分RDA揭示,由环境变异性唯一解释的物种组成变化比例要比MEM变量唯一解释的更大。 GLM结果表明,具有纵向偏差的物种分布与具有地理趋势的特定环境因素有关。发现的环境依赖性与每个物种的特定特征一致。我们得出的结论是,比利牛斯湖湖泊中的鳞翅目物种分布和组成主要受当地环境因素支配,而不是受分散约束支配。对于环境条件相似的北方湖泊,已经提出了很强的分散能力。进一步的研究应解决空间尺度的作用,即绝对地理距离限制了短距离环境梯度的扩散和陡峭性。

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