Joint analysis of species and genetic variation to quantify the role of dispersal and environmental constraints in community turnover
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
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/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. |
id |
RCAP_955e3fc84e6c8bd1e4794637115e9c76 |
---|---|
oai_identifier_str |
oai:dspace.uevora.pt:10174/34923 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 |
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/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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Nordic Society Oikos |
publisher.none.fl_str_mv |
Nordic Society Oikos |
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 |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799136716421857280 |