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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Phylogenetic and functional clustering illustrate the roles of adaptive radiation and dispersal filtering in jointly shaping late-Quaternary mammal assemblages on oceanic islands
Ecology Letters, Volume 25, No. 5, Year 2022
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Description
Islands frequently harbour unique assemblages of species, yet their ecological roles and differences are largely ignored in island biogeography studies. Here, we examine eco-evolutionary processes structuring mammal assemblages on oceanic islands worldwide, including all extant and extinct late-Quaternary mammal species. We find island mammal assemblages tend to be phylogenetically clustered (share more recent evolutionary histories), with clustering increasing with island area and isolation. We also observe that mammal assemblages often tend to be functionally clustered (share similar traits), but the strength of clustering is weak and generally independent from island area or isolation. These findings indicate the important roles of in situ speciation and dispersal filtering in shaping island mammal assemblages under pre-anthropogenic conditions, notably through adaptive radiation of a few clades (e.g. bats, with generally high dispersal abilities). Our study demonstrates that considering the functional and phylogenetic axes of diversity can better reveal the eco-evolutionary processes of island community assembly. © 2022 John Wiley & Sons Ltd.
Authors & Co-Authors
Si, Xingfeng
China, Shanghai
East China Normal University
China, Shanghai
Institute of Eco-chongming Iec
Cadotte, Marc W.
Canada, Toronto
University of Toronto
Davies, T. Jonathan
Canada, Vancouver
The University of British Columbia
Antonelli, Alexandre E.
Sweden, Gothenburg
Göteborgs Universitet
United Kingdom, Richmond
Royal Botanic Gardens, Kew
United Kingdom, Oxford
University of Oxford
Svenning, Jens Christian
Denmark, Aarhus
Aarhus Universitet
Faurby, Søren
Sweden, Gothenburg
Göteborgs Universitet
Statistics
Citations: 13
Authors: 6
Affiliations: 9
Identifiers
Doi:
10.1111/ele.13997
ISSN:
1461023X
Research Areas
Cancer