University Grenoble Alpes, CNRS, Univ. Savoie Mont Blanc, CNRS, LECA, Laboratoire d'Écologie Alpine, F-38000, Grenoble, France.
Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
Ecol Lett. 2018 Nov;21(11):1660-1669. doi: 10.1111/ele.13143. Epub 2018 Aug 28.
Investigating how trophic interactions influence the β-diversity of meta-communities is of paramount importance to understanding the processes shaping biodiversity distribution. Here, we apply a statistical method for inferring the strength of spatial dependencies between pairs of species groups. Using simulated community data generated from a multi-trophic model, we showed that this method can approximate biotic interactions in multi-trophic communities based on β-diversity patterns across groups. When applied to soil multi-trophic communities along an elevational gradient in the French Alps, we found that fungi make a major contribution to the structuring of β-diversity across trophic groups. We also demonstrated that there were strong spatial dependencies between groups known to interact specifically (e.g. plant-symbiotic fungi, bacteria-nematodes) and that the influence of environment was less important than previously reported in the literature. Our method paves the way for a better understanding and mapping of multi-trophic communities through space and time.
研究营养相互作用如何影响元群落的β多样性对于理解塑造生物多样性分布的过程至关重要。在这里，我们应用了一种统计方法来推断物种对之间空间依赖性的强度。使用从多营养模型生成的模拟群落数据，我们表明该方法可以根据跨组的β多样性模式来近似多营养群落中的生物相互作用。当将其应用于法国阿尔卑斯山海拔梯度上的土壤多营养群落时，我们发现真菌对跨营养组的β多样性结构起着重要作用。我们还证明了在已知具有特定相互作用的组（例如植物共生真菌、细菌-线虫）之间存在很强的空间依赖性，并且环境的影响比文献中以前报道的要小。我们的方法为更好地理解和绘制通过空间和时间的多营养群落铺平了道路。
