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Relative importance of deterministic and stochastic processes for beta diversity of bird assemblages in Yunnan, China

He, Xuelian; Brown, Calum ORCID iD icon 1,2; Lin, Luxiang
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)
2 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Evaluating the relative importance of deterministic and stochastic processes underlying taxonomic and functional beta diversity is crucial in community ecology, because it can reveal the dominant processes of community assembly. However, studies of bird communities remain rare and of limited spatial extents. In this study, we described the taxonomic and functional beta diversity patterns of 32 passerine bird assemblages of Yunnan Province, China. We constructed null models based on observed species beta diversity and used multiple regressions on distance matrices to evaluate the relative contributions of deterministic and stochastic processes to passerine bird assemblage dissimilarity. Our results showed significant geographic distance decay in taxonomic and functional similarity, with passerine bird assemblages located in the northwest and southwest of the province having higher functional beta diversity values than expected. Environmental distance and geographic distance explained a similar amount taxonomic beta diversity, but environmental distance explained much more functional beta diversity. Our results suggest that both deterministic and stochastic processes drive taxonomic beta diversity, but that deterministic processes, particularly environmental filtering, play a dominant role in driving functional beta diversity of passerine bird assemblages at sub-national scale.


Verlagsausgabe §
DOI: 10.5445/IR/1000133773
Veröffentlicht am 10.06.2021
Originalveröffentlichung
DOI: 10.1002/ecs2.3545
Scopus
Zitationen: 1
Web of Science
Zitationen: 1
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Institut für Meteorologie und Klimaforschung (IMK)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 06.2021
Sprache Englisch
Identifikator ISSN: 2150-8925, 2150-8925
KITopen-ID: 1000133773
HGF-Programm 12.11.21 (POF IV, LK 01) Natural ecosystems as sources and sinks of GHGs
Erschienen in Ecosphere
Verlag Ecological Society of America
Band 12
Heft 6
Seiten Art. Nr.: e03545
Vorab online veröffentlicht am 08.06.2021
Nachgewiesen in Web of Science
Scopus
Dimensions
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