Données de réplication pour : Trait-environment associations diverge between native and alien breeding bird assemblages on the world's oceanic islands.
收藏Recherche Data Gouv France2023-01-01 更新2026-04-09 收录
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https://entrepot.recherche.data.gouv.fr/citation?persistentId=doi:10.57745/1BRHFC
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This archive contains the material necessary to replicate the analyses performed in Rault et al (2023) : Trait-environment associations diverge between native and alien breeding bird assemblages on the worlds oceanic islands. Global Ecology and Biogeography. Aim: To investigate spatial variations in the ecological trait structure of breeding bird assemblages across the world’s oceanic islands. To test the hypothesis that native and naturalized alien bird species are filtered by different processes, leading to diverging associations between traits and insular environmental gradients. Location: Oceanic islands worldwide. Time period: Current. Major taxa studied: Terrestrial breeding birds. Methods: We assessed the composition of breeding terrestrial bird assemblages from the extent-of-occurrence maps of 3170 native and 169 naturalized alien species occurring on 4660 oceanic islands. We quantified the ecological trait structures of species assemblages with respect to diet, mobility, and body mass as the standardized distance between a mean pairwise trait distance index and its expectation from a null model. We used spatial generalized additive models to relate trait structure to proxies of environmental conditions and human impact on land for all species, native species only, and alien species only. Content of the archive: The archive encompasses the data and R script necessary to replicate the analyses described in the Materials and Methods of the associated publication. The data set encompasses data on extant terrestrial breeding birds living on oceanic islands worldwide extracted from Birdlife Internationals extent of occurrence geodatabase, and ecological traits associated with these species compiled from multiple sources. The archive encompasses the data and R script necessary to replicate the analyses described in the Material and Methods of the associated publication. Data collection, compilation, origin and analytical pipeline are described in the article.
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2023-01-01



