| Literature DB >> 30152092 |
Marc Ohlmann1, Florent Mazel2, Loïc Chalmandrier3,4, Stéphane Bec1, Eric Coissac1, Ludovic Gielly1, Johan Pansu5, Vincent Schilling6, Pierre Taberlet1, Lucie Zinger7, Jérome Chave6, Wilfried Thuiller1.
Abstract
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.Entities:
Keywords: graphical lasso; graphical model; interaction network; meta-communities; partial correlation networks; β-diversity
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Year: 2018 PMID: 30152092 DOI: 10.1111/ele.13143
Source DB: PubMed Journal: Ecol Lett ISSN: 1461-023X Impact factor: 9.492