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Spatial patterns in insect community composition in coldwater springs

机译:冷水泉水昆虫群落组成的空间格局

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摘要

The insects living in 27 coldwater springs in southern Ontario, Canada were analyzed using several permutation and ordination methods, in order to detect patterns in the composition of their communities. These patterns were compared against simulations using artificial landscapes. A Moving Window Mantel Correlogram indicated the presence of both a strong local spatial aggregation and a global trend toward higher dissimilarity of sites with increasing geographical distance, especially beyond 50 km. Ordination plots showed a clear global gradient from a southern group of springs to a northern group (likely related to temperature and pH), which dominated the global, total, and local plots in both a SCA (Spatial CA) and a SPCA (Spatial PCA) analysis. However, the results of the local analysis differed markedly between the two methods: while the local plot for the SCA analysis indicated considerable variation among sites belonging to the same spatial group (thought to be related to discharge and random colonization episodes) and showed a pattern that was different from both the global and total analysis plots, the local SPCA plot showed little within-group variation and resembled the global and total plots.
机译:使用几种排列和排序方法对生活在加拿大安大略省南部27个冷水泉中的昆虫进行了分析,以检测其群落组成的模式。将这些模式与使用人造景观的模拟进行了比较。 “移动窗口壁炉相关图”表明,随着地理距离(尤其是超过50 km)的增加,站点之间存在着强烈的局部空间聚集和全球趋向差异的趋势。排序图显示了从南部的一组春季到北部的一组清晰的全局梯度(可能与温度和pH值相关),在SCA(空间CA)和SPCA(空间PCA)的全局,总体和局部图中均占主导地位)分析。但是,两种方法之间的局部分析结果存在显着差异:SCA分析的局部图表明,属于同一空间组的位点之间存在很大差异(应与出院和随机定殖事件有关),并显示出一种模式。与全局和总体分析图不同的是,局部SPCA图显示的组内变化很小,类似于全局和总体图。

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