Differential temporal beta‐diversity patterns of native and non‐native arthropod species in a fragmented native forest landscape

Detalhes bibliográficos
Autor(a) principal: Matthews, Thomas J.
Data de Publicação: 2019
Outros Autores: Sadler, Jon, Carvalho, Rui, Nunes, Rui, Borges, Paulo A. V.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.3/5301
Resumo: An important factor that hinders the management of non‐native species is a general lack of information regarding the biogeography of non‐natives, and, in particular, their rates of turnover. Here, we address this research gap by analysing differences in temporal beta‐diversity (using both pairwise and multiple‐time dissimilarity metrics) between native and non‐native species, using a novel time‐series dataset of arthropods sampled in native forest fragments in the Azores. We use a null model approach to determine whether temporal beta‐diversity was due to deterministic processes or stochastic colonisation and extinction events, and linear modelling selection to assess the factors driving variation in temporal beta‐diversity between plots. In accordance with our predictions, we found that the temporal beta‐diversity was much greater for non‐native species than for native species, and the null model analyses indicated that the turnover of non‐native species was due to stochastic events. No predictor variables were found to explain the turnover of native or non‐native species. We attribute the greater turnover of non‐native species to source‐sink processes and the close proximity of anthropogenic habitats to the fragmented native forest plots sampled in our study. Thus, our findings point to ways in which the study of turnover can be adapted for future applications in habitat island systems. The implications of this for biodiversity conservation and management are significant. The high rate of stochastic turnover of non‐native species indicates that attempts to simply reduce the populations of non‐native species in situ within native habitats may not be successful. A more efficient management strategy would be to interrupt source‐sink dynamics by improving the harsh boundaries between native and adjacent anthropogenic habitats.
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spelling Differential temporal beta‐diversity patterns of native and non‐native arthropod species in a fragmented native forest landscapeArthropodsBeta-diversityInvasive SpeciesTurnoverAn important factor that hinders the management of non‐native species is a general lack of information regarding the biogeography of non‐natives, and, in particular, their rates of turnover. Here, we address this research gap by analysing differences in temporal beta‐diversity (using both pairwise and multiple‐time dissimilarity metrics) between native and non‐native species, using a novel time‐series dataset of arthropods sampled in native forest fragments in the Azores. We use a null model approach to determine whether temporal beta‐diversity was due to deterministic processes or stochastic colonisation and extinction events, and linear modelling selection to assess the factors driving variation in temporal beta‐diversity between plots. In accordance with our predictions, we found that the temporal beta‐diversity was much greater for non‐native species than for native species, and the null model analyses indicated that the turnover of non‐native species was due to stochastic events. No predictor variables were found to explain the turnover of native or non‐native species. We attribute the greater turnover of non‐native species to source‐sink processes and the close proximity of anthropogenic habitats to the fragmented native forest plots sampled in our study. Thus, our findings point to ways in which the study of turnover can be adapted for future applications in habitat island systems. The implications of this for biodiversity conservation and management are significant. The high rate of stochastic turnover of non‐native species indicates that attempts to simply reduce the populations of non‐native species in situ within native habitats may not be successful. A more efficient management strategy would be to interrupt source‐sink dynamics by improving the harsh boundaries between native and adjacent anthropogenic habitats.Portuguese FCT‐NETBIOME – ISLANDBIODIV grant 0003/2011.John Wiley and SonsRepositório da Universidade dos AçoresMatthews, Thomas J.Sadler, JonCarvalho, RuiNunes, RuiBorges, Paulo A. V.2020-01-28T13:38:16Z2019-012019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.3/5301engMatthews, T., Sadler, J.P., Carvalho, R., Nunes, R. & Borges, P.A.V. (2019). Differential turnover rates and temporal beta-diversity patterns of native and non-native arthropod species in a fragmented native forest landscape. "Ecography", 42(1), 45-54. DOI:10.1111/ecog.03812 (IF2018 5,946; Q1 Ecology)1600-058710.1111/ecog.03812info: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:RCAAP2022-12-20T14:33:35Zoai:repositorio.uac.pt:10400.3/5301Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:27:32.268562Repositório 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 Differential temporal beta‐diversity patterns of native and non‐native arthropod species in a fragmented native forest landscape
title Differential temporal beta‐diversity patterns of native and non‐native arthropod species in a fragmented native forest landscape
spellingShingle Differential temporal beta‐diversity patterns of native and non‐native arthropod species in a fragmented native forest landscape
Matthews, Thomas J.
Arthropods
Beta-diversity
Invasive Species
Turnover
title_short Differential temporal beta‐diversity patterns of native and non‐native arthropod species in a fragmented native forest landscape
title_full Differential temporal beta‐diversity patterns of native and non‐native arthropod species in a fragmented native forest landscape
title_fullStr Differential temporal beta‐diversity patterns of native and non‐native arthropod species in a fragmented native forest landscape
title_full_unstemmed Differential temporal beta‐diversity patterns of native and non‐native arthropod species in a fragmented native forest landscape
title_sort Differential temporal beta‐diversity patterns of native and non‐native arthropod species in a fragmented native forest landscape
author Matthews, Thomas J.
author_facet Matthews, Thomas J.
Sadler, Jon
Carvalho, Rui
Nunes, Rui
Borges, Paulo A. V.
author_role author
author2 Sadler, Jon
Carvalho, Rui
Nunes, Rui
Borges, Paulo A. V.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade dos Açores
dc.contributor.author.fl_str_mv Matthews, Thomas J.
Sadler, Jon
Carvalho, Rui
Nunes, Rui
Borges, Paulo A. V.
dc.subject.por.fl_str_mv Arthropods
Beta-diversity
Invasive Species
Turnover
topic Arthropods
Beta-diversity
Invasive Species
Turnover
description An important factor that hinders the management of non‐native species is a general lack of information regarding the biogeography of non‐natives, and, in particular, their rates of turnover. Here, we address this research gap by analysing differences in temporal beta‐diversity (using both pairwise and multiple‐time dissimilarity metrics) between native and non‐native species, using a novel time‐series dataset of arthropods sampled in native forest fragments in the Azores. We use a null model approach to determine whether temporal beta‐diversity was due to deterministic processes or stochastic colonisation and extinction events, and linear modelling selection to assess the factors driving variation in temporal beta‐diversity between plots. In accordance with our predictions, we found that the temporal beta‐diversity was much greater for non‐native species than for native species, and the null model analyses indicated that the turnover of non‐native species was due to stochastic events. No predictor variables were found to explain the turnover of native or non‐native species. We attribute the greater turnover of non‐native species to source‐sink processes and the close proximity of anthropogenic habitats to the fragmented native forest plots sampled in our study. Thus, our findings point to ways in which the study of turnover can be adapted for future applications in habitat island systems. The implications of this for biodiversity conservation and management are significant. The high rate of stochastic turnover of non‐native species indicates that attempts to simply reduce the populations of non‐native species in situ within native habitats may not be successful. A more efficient management strategy would be to interrupt source‐sink dynamics by improving the harsh boundaries between native and adjacent anthropogenic habitats.
publishDate 2019
dc.date.none.fl_str_mv 2019-01
2019-01-01T00:00:00Z
2020-01-28T13:38:16Z
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/10400.3/5301
url http://hdl.handle.net/10400.3/5301
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Matthews, T., Sadler, J.P., Carvalho, R., Nunes, R. & Borges, P.A.V. (2019). Differential turnover rates and temporal beta-diversity patterns of native and non-native arthropod species in a fragmented native forest landscape. "Ecography", 42(1), 45-54. DOI:10.1111/ecog.03812 (IF2018 5,946; Q1 Ecology)
1600-0587
10.1111/ecog.03812
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 John Wiley and Sons
publisher.none.fl_str_mv John Wiley and Sons
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
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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