2013
Better environmental data may reverse conclusions about niche- and dispersal-based processes in community assembly
CHANG, Li-Wan; David ZELENÝ; Ching-Feng LI; Shau-Ting CHIU; Chang-Fu HSIEH et. al.Základní údaje
Originální název
Better environmental data may reverse conclusions about niche- and dispersal-based processes in community assembly
Autoři
CHANG, Li-Wan (158 Tchaj-wan); David ZELENÝ (203 Česká republika, garant, domácí); Ching-Feng LI (158 Tchaj-wan, domácí); Shau-Ting CHIU (158 Tchaj-wan) a Chang-Fu HSIEH (158 Tchaj-wan)
Vydání
Ecology, 2013, 0012-9658
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10600 1.6 Biological sciences
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Impakt faktor
Impact factor: 5.000
Kód RIV
RIV/00216224:14310/13:00066460
Organizační jednotka
Přírodovědecká fakulta
UT WoS
000325692900005
Klíčová slova anglicky
dbMEM; dispersal-based processes; environmental control; Lienhuachih; multiscale spatial analysis; soil variables; Taiwan; topographical variables; variation partitioning
Změněno: 8. 3. 2018 15:15, Mgr. Lucie Jarošová, DiS.
Anotace
V originále
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.
Návaznosti
GAP505/12/1022, projekt VaV |
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