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Spatial variance in soil microarthropod communities: Niche, neutrality, or stochasticity?

机译:土壤微型节肢动物群落的空间差异:生态位,中性还是随机性?

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We studied geographic patterns in the soil microarthropods associated with moss carpets on exposed rocky outcrops in southwestern British Columbia, Canada. We related microarthropod composition, abundance, and species richness to 15 ecological variables relevant to either spatial or environmental filtering. Our survey identified 352 morphospecies in 32 sites spanning a 130- x 60-km area. We tested whether the relative importance of spatial and environmental factors was concordant between community composition, abundance, species richness, and 3 major taxonomic groups (Oribatida, Mesostigmata, Collembola). The results depended on the variance partitioning methods used and whether composition was defined by species abundance or presence. Distance-based Mantel tests showed that dissimilarity in species composition between sites was better predicted by spatial distance than by environmental dissimilarity. In contrast, variance partitioning of ordinated abundance data concluded that environmental rather than spatial variables explained most variance in the composition of total microarthropod, especially Collembola, assemblages. Total abundance and species richness were only weakly correlated across space, even though both were explained by environmental factors such as temperature and soil moisture. Given the surprising contradictions between methods, we suggest that different analyses should always be compared to fully uncover the spatial and environmental factors structuring communities.
机译:我们研究了加拿大不列颠哥伦比亚省西南部裸露的岩石露头上与苔藓地毯相关的土壤节肢动物的地理格局。我们将微节肢动物的组成,丰度和物种丰富度与与空间或环境过滤相关的15个生态变量相关联。我们的调查确定了130个x 60公里区域的32个站点中的352种形态。我们测试了空间和环境因素的相对重要性在社区组成,丰度,物种丰富度和3个主要分类学组(Oribatida,Mesostigmata,Collembola)之间是否一致。结果取决于所使用的方差划分方法以及组成是否由物种丰度或存在来定义。基于距离的Mantel测试表明,通过空间距离比通过环境差异更好地预测了站点之间物种组成的差异。相反,经坐标丰度数据的方差划分得出的结论是,环境变量而非空间变量解释了整个微节肢动物,尤其是Collembola组合的大部分差异。尽管两者都由温度和土壤湿度等环境因素来解释,但总的丰度和物种丰富度在整个空间之间的关系很小。鉴于方法之间令人惊讶的矛盾,我们建议应始终进行不同的分析比较,以充分揭示构成社区的空间和环境因素。

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