Maaß Stefanie, Migliorini Massimo, Rillig Matthias C, Caruso Tancredi
Institut für Biologie, Plant Ecology, Freie Universität Berlin Altensteinstraße 6, 14195, Berlin, Germany ; Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB) 14195, Berlin, Germany.
Department of Life Sciences, University of Siena via Aldo Moro 2, Siena, 53100, Italy.
Ecol Evol. 2014 Dec;4(24):4766-74. doi: 10.1002/ece3.1313. Epub 2014 Dec 2.
Beta diversity describes how local communities within an area or region differ in species composition/abundance. There have been attempts to use changes in beta diversity as a biotic indicator of disturbance, but lack of theory and methodological caveats have hampered progress. We here propose that the neutral theory of biodiversity plus the definition of beta diversity as the total variance of a community matrix provide a suitable, novel, starting point for ecological applications. Observed levels of beta diversity (BD) can be compared to neutral predictions with three possible outcomes: Observed BD equals neutral prediction or is larger (divergence) or smaller (convergence) than the neutral prediction. Disturbance might lead to either divergence or convergence, depending on type and strength. We here apply these ideas to datasets collected on oribatid mites (a key, very diverse soil taxon) under several regimes of disturbances. When disturbance is expected to increase the heterogeneity of soil spatial properties or the sampling strategy encompassed a range of diverging environmental conditions, we observed diverging assemblages. On the contrary, we observed patterns consistent with neutrality when disturbance could determine homogenization of soil properties in space or the sampling strategy encompassed fairly homogeneous areas. With our method, spatial and temporal changes in beta diversity can be directly and easily monitored to detect significant changes in community dynamics, although the method itself cannot inform on underlying mechanisms. However, human-driven disturbances and the spatial scales at which they operate are usually known. In this case, our approach allows the formulation of testable predictions in terms of expected changes in beta diversity, thereby offering a promising monitoring tool.
β多样性描述了一个区域内的局部群落如何在物种组成/丰度上存在差异。人们曾尝试将β多样性的变化用作干扰的生物指标,但缺乏理论和方法上的注意事项阻碍了进展。我们在此提出,生物多样性中性理论加上将β多样性定义为群落矩阵的总方差,为生态应用提供了一个合适的、新颖的起点。观察到的β多样性(BD)水平可以与中性预测进行比较,有三种可能的结果:观察到的BD等于中性预测,或者大于(发散)或小于(收敛)中性预测。干扰可能导致发散或收敛,这取决于干扰的类型和强度。我们在此将这些想法应用于在几种干扰情况下收集的甲螨(一种关键的、种类繁多的土壤分类群)数据集。当预计干扰会增加土壤空间属性的异质性或采样策略涵盖了一系列不同的环境条件时,我们观察到了发散的群落组合。相反,当干扰能够导致土壤属性在空间上的同质化或采样策略涵盖相当均匀的区域时,我们观察到了与中性一致的模式。通过我们的方法,可以直接且轻松地监测β多样性的时空变化,以检测群落动态的显著变化,尽管该方法本身无法说明潜在机制。然而,人为驱动的干扰及其作用的空间尺度通常是已知的。在这种情况下,我们的方法允许根据β多样性的预期变化制定可检验的预测,从而提供了一种有前景的监测工具。