Joint analysis of species and genetic variation to quantify the role of dispersal and environmental constraints in community turnover

Detalhes bibliográficos
Autor(a) principal: Baselga, A.
Data de Publicação: 2022
Outros Autores: Gómez-Rodríguez, C., Araújo, Miguel B., Castro-Insua, A., Posada, D., Vogler, A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/34923
https://doi.org/10.1111/ecog.05808
Resumo: Spatial turnover of biological communities is determined by both dispersal and environmental constraints. However, we lack quantitative predictions about how these factors interact and influence turnover across genealogical scales. In this study, we have implemented a predictive framework based on approximate Bayesian computation (ABC) to quantify the signature of dispersal and environmental constraints in community turnover. First, we simulated the distribution of haplotypes, intra-specific lineages and species in biological communities under different strengths of dispersal and environmental constraints. Our simulations show that spatial turnover rate is invariant across genealogical scales when dispersal limitation determines the species ranges. However, when environmental constraint limits species ranges, spatial turnover rates vary across genealogical scales. These simulations were used in an ABC framework to quantify the role of dispersal and environmental constraints in 16 empirical biological communities sampled from local to continental scales, including several groups of insects (both aquatic and terrestrial), molluscs and bats. In seven datasets, the observed genealogical invariance of spatial turnover, assessed with distance–decay curves, suggests a dispersal-limited scenario. In the remaining datasets, the variance in distance–decay curves across genealogical scales was best explained by various combinations of dispersal and environmental constraints. Our study illustrates how modelling spatial turnover at multiple genealogical scales (species and intraspecific lineages) provides relevant insights into the relative role of dispersal and environmental constraints in community turnover.
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spelling Joint analysis of species and genetic variation to quantify the role of dispersal and environmental constraints in community turnoverSpatial turnover of biological communities is determined by both dispersal and environmental constraints. However, we lack quantitative predictions about how these factors interact and influence turnover across genealogical scales. In this study, we have implemented a predictive framework based on approximate Bayesian computation (ABC) to quantify the signature of dispersal and environmental constraints in community turnover. First, we simulated the distribution of haplotypes, intra-specific lineages and species in biological communities under different strengths of dispersal and environmental constraints. Our simulations show that spatial turnover rate is invariant across genealogical scales when dispersal limitation determines the species ranges. However, when environmental constraint limits species ranges, spatial turnover rates vary across genealogical scales. These simulations were used in an ABC framework to quantify the role of dispersal and environmental constraints in 16 empirical biological communities sampled from local to continental scales, including several groups of insects (both aquatic and terrestrial), molluscs and bats. In seven datasets, the observed genealogical invariance of spatial turnover, assessed with distance–decay curves, suggests a dispersal-limited scenario. In the remaining datasets, the variance in distance–decay curves across genealogical scales was best explained by various combinations of dispersal and environmental constraints. Our study illustrates how modelling spatial turnover at multiple genealogical scales (species and intraspecific lineages) provides relevant insights into the relative role of dispersal and environmental constraints in community turnover.Nordic Society Oikos2023-04-21T15:13:08Z2023-04-212022-03-08T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/34923http://hdl.handle.net/10174/34923https://doi.org/10.1111/ecog.05808engBaselga, A., Gómez-Rodríguez, C., Araújo, M.B., Castro-Insua, A., Posada, D. & Vogler, A.P. 2022. Joint analysis of species and genetic variation to quantify the role of dispersal and environmental constraints in community turnover. Ecography. 5, e05808.https://onlinelibrary.wiley.com/doi/full/10.1111/ecog.05808ndndmba@uevora.ptndndnd221Baselga, A.Gómez-Rodríguez, C.Araújo, Miguel B.Castro-Insua, A.Posada, D.Vogler, A.info: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:RCAAP2024-01-03T19:38:03Zoai:dspace.uevora.pt:10174/34923Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:23:27.576748Repositório 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 Joint analysis of species and genetic variation to quantify the role of dispersal and environmental constraints in community turnover
title Joint analysis of species and genetic variation to quantify the role of dispersal and environmental constraints in community turnover
spellingShingle Joint analysis of species and genetic variation to quantify the role of dispersal and environmental constraints in community turnover
Baselga, A.
title_short Joint analysis of species and genetic variation to quantify the role of dispersal and environmental constraints in community turnover
title_full Joint analysis of species and genetic variation to quantify the role of dispersal and environmental constraints in community turnover
title_fullStr Joint analysis of species and genetic variation to quantify the role of dispersal and environmental constraints in community turnover
title_full_unstemmed Joint analysis of species and genetic variation to quantify the role of dispersal and environmental constraints in community turnover
title_sort Joint analysis of species and genetic variation to quantify the role of dispersal and environmental constraints in community turnover
author Baselga, A.
author_facet Baselga, A.
Gómez-Rodríguez, C.
Araújo, Miguel B.
Castro-Insua, A.
Posada, D.
Vogler, A.
author_role author
author2 Gómez-Rodríguez, C.
Araújo, Miguel B.
Castro-Insua, A.
Posada, D.
Vogler, A.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Baselga, A.
Gómez-Rodríguez, C.
Araújo, Miguel B.
Castro-Insua, A.
Posada, D.
Vogler, A.
description Spatial turnover of biological communities is determined by both dispersal and environmental constraints. However, we lack quantitative predictions about how these factors interact and influence turnover across genealogical scales. In this study, we have implemented a predictive framework based on approximate Bayesian computation (ABC) to quantify the signature of dispersal and environmental constraints in community turnover. First, we simulated the distribution of haplotypes, intra-specific lineages and species in biological communities under different strengths of dispersal and environmental constraints. Our simulations show that spatial turnover rate is invariant across genealogical scales when dispersal limitation determines the species ranges. However, when environmental constraint limits species ranges, spatial turnover rates vary across genealogical scales. These simulations were used in an ABC framework to quantify the role of dispersal and environmental constraints in 16 empirical biological communities sampled from local to continental scales, including several groups of insects (both aquatic and terrestrial), molluscs and bats. In seven datasets, the observed genealogical invariance of spatial turnover, assessed with distance–decay curves, suggests a dispersal-limited scenario. In the remaining datasets, the variance in distance–decay curves across genealogical scales was best explained by various combinations of dispersal and environmental constraints. Our study illustrates how modelling spatial turnover at multiple genealogical scales (species and intraspecific lineages) provides relevant insights into the relative role of dispersal and environmental constraints in community turnover.
publishDate 2022
dc.date.none.fl_str_mv 2022-03-08T00:00:00Z
2023-04-21T15:13:08Z
2023-04-21
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/34923
http://hdl.handle.net/10174/34923
https://doi.org/10.1111/ecog.05808
url http://hdl.handle.net/10174/34923
https://doi.org/10.1111/ecog.05808
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Baselga, A., Gómez-Rodríguez, C., Araújo, M.B., Castro-Insua, A., Posada, D. & Vogler, A.P. 2022. Joint analysis of species and genetic variation to quantify the role of dispersal and environmental constraints in community turnover. Ecography. 5, e05808.
https://onlinelibrary.wiley.com/doi/full/10.1111/ecog.05808
nd
nd
mba@uevora.pt
nd
nd
nd
221
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