4.5 Article

Null model approaches to evaluating the relative role of different assembly processes in shaping ecological communities

期刊

OECOLOGIA
卷 178, 期 1, 页码 261-273

出版社

SPRINGER
DOI: 10.1007/s00442-014-3170-9

关键词

Abundance; beta-diversity; Community assembly; Biogeographical gradient; Species abundance distributions

类别

资金

  1. Sumitomo Foundation
  2. Japan Securities Scholarship Foundation
  3. Global COE Program from Japan Society for the Promotion of Science (JSPS) [E03]
  4. Graduate School of Environment and Information Science, Yokohama National University
  5. JSPS

向作者/读者索取更多资源

Various local processes simultaneously shape ecological assemblages. beta-diversity is a useful metric for inferring the underlying mechanisms of community assembly. However, beta-diversity is not independent of gamma-diversity, which may mask the local mechanisms that govern community processes across regions. Recent approaches that rely on an abundance-based null model could solve this sampling issue. However, if abundance varies widely across a region, the relative roles of deterministic and stochastic processes may be substantially misestimated. Furthermore, there is additional uncertainty as to whether null models used to correct.-dependence in beta-diversity should be independent of the observed patterns of species abundance distributions or whether the models should reflect these patterns. Here, we aim to test what null models with various constraints imply about the underlying processes shaping beta-diversity. First, we found that an abundance-driven sampling effect could substantially influence the calculation of gamma-corrected beta-diversity. Second, we found that the null models that preserve the species abundance patterns could better reflect empirical patterns of spatial organization of individuals. The different implications generated from different applications of the null model approach therefore suggest that there are still frontiers regarding how local processes that shape species assemblages should be quantified. Carefully exploring each facet within different assembly processes is important.

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