Better environmental data may reverse conclusions about niche- and dispersal-based processes in community assembly

Logo poskytovatele

Varování

Publikace nespadá pod Filozofickou fakultu, ale pod Přírodovědeckou fakultu. Oficiální stránka publikace je na webu muni.cz.
Autoři

CHANG Li-Wan ZELENÝ David LI Ching-Feng CHIU Shau-Ting HSIEH Chang-Fu

Rok publikování 2013
Druh Článek v odborném periodiku
Časopis / Zdroj Ecology
Fakulta / Pracoviště MU

Přírodovědecká fakulta

Citace
www plný text článku na stránkách vydavatele
Doi http://dx.doi.org/10.1890/12-2053.1
Obor Ekologie - společenstva
Klíčová slova dbMEM; dispersal-based processes; environmental control; Lienhuachih; multiscale spatial analysis; soil variables; Taiwan; topographical variables; variation partitioning
Popis 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.
Související projekty:

Používáte starou verzi internetového prohlížeče. Doporučujeme aktualizovat Váš prohlížeč na nejnovější verzi.