Laliberté Etienne, Paquette Alain, Legendre Pierre, Bouchard André
Institut de Recherche en Biologie Végétale (IRBV), Université de Montréal, 4101 Sherbrooke Est, Montréal, QC H1X2B2, Canada.
Oecologia. 2009 Mar;159(2):377-88. doi: 10.1007/s00442-008-1214-8. Epub 2008 Nov 19.
Niche processes and other spatial processes, such as dispersal, may simultaneously control beta diversity, yet their relative importance may shift across spatial and temporal scales. Although disentangling the relative importance of these processes has been a continuing methodological challenge, recent developments in multi-scale spatial and temporal modeling can now help ecologists estimate their scale-specific contributions. Here we present a statistical approach to (1) detect the presence of a space-time interaction on community composition and (2) estimate the scale-specific importance of environmental and spatial factors on beta diversity. To illustrate the applicability of this approach, we use a case study from a temperate forest understory where tree seedling abundances were monitored during a 9-year period at 40 permanent plots. We found no significant space-time interaction on tree seedling composition, which means that the spatial abundance patterns did not vary over the study period. However, for a given year the relative importance of niche processes and other spatial processes was found to be scale-specific. Tree seedling abundances were primarily controlled by a broad-scale environmental gradient, but within the confines of this gradient the finer scale patchiness was largely due to other spatial processes. This case study illustrates that these two sets of processes are not mutually exclusive and can affect abundance patterns in a scale-dependent manner. More importantly, the use of our methodology for future empirical studies should help in the merging of niche and neutral perspectives on beta diversity, an obvious next step for community ecology.
生态位过程和其他空间过程,如扩散,可能同时控制着β多样性,但其相对重要性可能会在空间和时间尺度上发生变化。尽管厘清这些过程的相对重要性一直是一个持续存在的方法学挑战,但多尺度空间和时间建模的最新进展现在可以帮助生态学家估计它们在特定尺度上的贡献。在这里,我们提出一种统计方法,用于(1)检测群落组成上时空相互作用的存在,以及(2)估计环境和空间因素对β多样性的特定尺度重要性。为了说明该方法的适用性,我们使用了一个温带森林林下的案例研究,在9年时间里对40个永久样地的树木幼苗丰度进行了监测。我们发现树木幼苗组成上没有显著的时空相互作用,这意味着空间丰度模式在研究期间没有变化。然而,对于给定的年份,生态位过程和其他空间过程的相对重要性被发现是特定尺度的。树木幼苗丰度主要受一个大尺度环境梯度的控制,但在这个梯度范围内,更精细尺度的斑块性很大程度上是由于其他空间过程。这个案例研究表明,这两组过程并非相互排斥,并且可以以尺度依赖的方式影响丰度模式。更重要的是,在未来的实证研究中使用我们的方法应该有助于将生态位和中性视角融合到β多样性研究中,这是群落生态学明显的下一步。