Better environmental data may reverse conclusions about niche‐ and dispersal‐based processes in community assembly. Issue 10 (1st October 2013)

• Record Type: Journal Article
• Authors: Chang, Li-Wan; Zelený, David; Li, Ching-Feng; Chiu, Shau-Ting; Hsieh, Chang-Fu
• Is Part Of: Ecology. Volume 94:Issue 10(2013)
• Page Start: 2145
• Page End: 2151
• Publication Date: 2013-10-01
• Subjects: dbMEM -- dispersal-based processes -- environmental control -- Lienhuachih -- multiscale spatial analysis -- soil variables -- Taiwan -- topographical variables -- variation partitioning; Ecology -- Periodicals; Ecology -- Periodicals; Écologie -- Périodiques; Ecologie; Écologie; Écologie animale; Écologie végétale; Ecology; Periodicals; 577.05
• DOI: 10.1890/12-2053.1
• Languages: English
• ISSNs: 0012-9658

Abstract

Abstract : Variation partitioning of species composition into components explained by environmental and spatial variables is often used to identify a signature of niche‐ and dispersal‐based processes in community assembly. Such interpretation, however, strongly depends on the quality of the environmental data available. In recent studies conducted in forest dynamics plots, the environment was represented only by readily available topographical variables. Using data from a subtropical broad‐leaved dynamics plot in Taiwan, we focus on the question of how would the conclusion about importance of niche‐ and dispersal‐based processes change if soil variables are also included in the analysis. To gain further insight, we introduced multiscale decomposition of a pure spatial component [c] in variation partitioning. Our results indicate that, if only topography is included, dispersal‐based processes prevail, while including soil variables reverses this conclusion in favor of niche‐based processes. Multiscale decomposition of [c] shows that if only topography was included, broad‐scaled spatial variation prevails in [c], indicating that other as yet unmeasured environmental variables can be important. However, after also including soil variables this pattern disappears, increasing importance of meso‐ and fine‐scaled spatial patterns indicative of dispersal processes.