Identifying the Drivers of Spatial Taxonomic and Functional Beta-Diversity of British Breeding Birds
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.3/6191 |
Resumo: | Spatial variation in community composition may be driven by a variety of processes, including environmental filtering and dispersal limitation. While work has been conducted on the relative importance of these processes on various taxa and at varying resolutions, tests using high-resolution empirical data across large spatial extents are sparse. Here, we use a dataset on the presence/absence of breeding bird species collected at the 10 km × 10 km scale across the whole of Britain. Pairwise spatial taxonomic and functional beta diversity, and the constituent components of each (turnover and nestedness/richness loss or gain), were calculated alongside two other measures of functional change (mean nearest taxon distance and mean pairwise distance). Predictor variables included climate and land use measures, as well as a measure of elevation, human influence, and habitat diversity. Generalized dissimilarity modeling was used to analyze the contribution of each predictor variable to variation in the different beta diversity metrics. Overall, we found that there was a moderate and unique proportion of the variance explained by geographical distance per se, which could highlight the role of dispersal limitation in community dissimilarity. Climate, land use, and human influence all also contributed to the observed patterns, but a large proportion of the explained variance in beta diversity was shared between these variables and geographical distance. However, both taxonomic nestedness and functional nestedness were uniquely predicted by a combination of land use, human influence, elevation, and climate variables, indicating a key role for environmental filtering. These findings may have important conservation implications in the face of a warming climate and future land use change. |
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Identifying the Drivers of Spatial Taxonomic and Functional Beta-Diversity of British Breeding BirdsAvifaunaGDMBeta-diversityCommunity CompositionSpatialClimateSpatial variation in community composition may be driven by a variety of processes, including environmental filtering and dispersal limitation. While work has been conducted on the relative importance of these processes on various taxa and at varying resolutions, tests using high-resolution empirical data across large spatial extents are sparse. Here, we use a dataset on the presence/absence of breeding bird species collected at the 10 km × 10 km scale across the whole of Britain. Pairwise spatial taxonomic and functional beta diversity, and the constituent components of each (turnover and nestedness/richness loss or gain), were calculated alongside two other measures of functional change (mean nearest taxon distance and mean pairwise distance). Predictor variables included climate and land use measures, as well as a measure of elevation, human influence, and habitat diversity. Generalized dissimilarity modeling was used to analyze the contribution of each predictor variable to variation in the different beta diversity metrics. Overall, we found that there was a moderate and unique proportion of the variance explained by geographical distance per se, which could highlight the role of dispersal limitation in community dissimilarity. Climate, land use, and human influence all also contributed to the observed patterns, but a large proportion of the explained variance in beta diversity was shared between these variables and geographical distance. However, both taxonomic nestedness and functional nestedness were uniquely predicted by a combination of land use, human influence, elevation, and climate variables, indicating a key role for environmental filtering. These findings may have important conservation implications in the face of a warming climate and future land use change.Frontiers MediaRepositório da Universidade dos AçoresWayman, Joseph P.Sadler, Jonathan P.Pugh, Thomas A. M.Martin, Thomas E.Tobias, Joseph A.Matthews, Thomas J.2022-02-14T10:03:58Z2021-032021-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.3/6191engWayman, J.P., Sadler, J.P., Pugh, T.A.M., Martin, T.E., Tobias, J.A. & Matthews, T.J. (2021). Identifying the drivers of spatial taxonomic and functional beta-diversity of british breeding birds. “Frontiers in Ecology and Evolution”, 9, 620062. DOI: 10.3389/fevo.2021.62006210.3389/fevo.2021.6200622296-701X000635918800001info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-12-20T14:34:38Zoai:repositorio.uac.pt:10400.3/6191Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:28:21.625801Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Identifying the Drivers of Spatial Taxonomic and Functional Beta-Diversity of British Breeding Birds |
title |
Identifying the Drivers of Spatial Taxonomic and Functional Beta-Diversity of British Breeding Birds |
spellingShingle |
Identifying the Drivers of Spatial Taxonomic and Functional Beta-Diversity of British Breeding Birds Wayman, Joseph P. Avifauna GDM Beta-diversity Community Composition Spatial Climate |
title_short |
Identifying the Drivers of Spatial Taxonomic and Functional Beta-Diversity of British Breeding Birds |
title_full |
Identifying the Drivers of Spatial Taxonomic and Functional Beta-Diversity of British Breeding Birds |
title_fullStr |
Identifying the Drivers of Spatial Taxonomic and Functional Beta-Diversity of British Breeding Birds |
title_full_unstemmed |
Identifying the Drivers of Spatial Taxonomic and Functional Beta-Diversity of British Breeding Birds |
title_sort |
Identifying the Drivers of Spatial Taxonomic and Functional Beta-Diversity of British Breeding Birds |
author |
Wayman, Joseph P. |
author_facet |
Wayman, Joseph P. Sadler, Jonathan P. Pugh, Thomas A. M. Martin, Thomas E. Tobias, Joseph A. Matthews, Thomas J. |
author_role |
author |
author2 |
Sadler, Jonathan P. Pugh, Thomas A. M. Martin, Thomas E. Tobias, Joseph A. Matthews, Thomas J. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade dos Açores |
dc.contributor.author.fl_str_mv |
Wayman, Joseph P. Sadler, Jonathan P. Pugh, Thomas A. M. Martin, Thomas E. Tobias, Joseph A. Matthews, Thomas J. |
dc.subject.por.fl_str_mv |
Avifauna GDM Beta-diversity Community Composition Spatial Climate |
topic |
Avifauna GDM Beta-diversity Community Composition Spatial Climate |
description |
Spatial variation in community composition may be driven by a variety of processes, including environmental filtering and dispersal limitation. While work has been conducted on the relative importance of these processes on various taxa and at varying resolutions, tests using high-resolution empirical data across large spatial extents are sparse. Here, we use a dataset on the presence/absence of breeding bird species collected at the 10 km × 10 km scale across the whole of Britain. Pairwise spatial taxonomic and functional beta diversity, and the constituent components of each (turnover and nestedness/richness loss or gain), were calculated alongside two other measures of functional change (mean nearest taxon distance and mean pairwise distance). Predictor variables included climate and land use measures, as well as a measure of elevation, human influence, and habitat diversity. Generalized dissimilarity modeling was used to analyze the contribution of each predictor variable to variation in the different beta diversity metrics. Overall, we found that there was a moderate and unique proportion of the variance explained by geographical distance per se, which could highlight the role of dispersal limitation in community dissimilarity. Climate, land use, and human influence all also contributed to the observed patterns, but a large proportion of the explained variance in beta diversity was shared between these variables and geographical distance. However, both taxonomic nestedness and functional nestedness were uniquely predicted by a combination of land use, human influence, elevation, and climate variables, indicating a key role for environmental filtering. These findings may have important conservation implications in the face of a warming climate and future land use change. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-03 2021-03-01T00:00:00Z 2022-02-14T10:03:58Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.3/6191 |
url |
http://hdl.handle.net/10400.3/6191 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Wayman, J.P., Sadler, J.P., Pugh, T.A.M., Martin, T.E., Tobias, J.A. & Matthews, T.J. (2021). Identifying the drivers of spatial taxonomic and functional beta-diversity of british breeding birds. “Frontiers in Ecology and Evolution”, 9, 620062. DOI: 10.3389/fevo.2021.620062 10.3389/fevo.2021.620062 2296-701X 000635918800001 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Frontiers Media |
publisher.none.fl_str_mv |
Frontiers Media |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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