Thinking outside the patch: a multi-species comparison of conceptual models from real-world landscapes

Detalhes bibliográficos
Autor(a) principal: Salgueiro, Pedro A.
Data de Publicação: 2017
Outros Autores: Mira, António, Rabaça, João E., Silva, Carmo, Eufrázio, Sofia, Manghi, Giovanni, Silva, Bruno, Santos, Sara M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/22302
https://doi.org/Salgueiro, P.A., Mira, A., Rabaça, J.E. et al.(2017.)Thinking outside the patch: a multi-species comparison of conceptual models from real-world landscapes. Landscape Ecology. https://doi.org/10.1007/s10980-017-0603-y
https://doi.org/doi.org/10.1007/s10980-017-0603-y
Resumo: Abstract Context When modeling a species’ distribution, landscapes can alternatively be conceptualized following patch- or gradient-based approaches. However, choosing the most suitable conceptualization is difficult and methods for empirical validation are still lacking. Objectives To address the conditions under which a given conceptual model is more suitable, taking into account landscape context and species trait dependency effects. Patch- and gradient-based conceptualizations were built based on two structurally different landscapes: variegated and mosaic. We hypothesize that: (H1) gradient-based models better describe variegated landscapes while patch-based models perform better in mosaic landscapes; and (H2) gradient-based models will fit generalist species better while patch-based models will suit specialists better. Methods We modeled the distribution of eleven bird species in each landscape using each conceptualization. We determined the suitability of each conceptual model to fit statistical models by looking for cross-species responses and deviations from best models. Results We found no clear support for our hypotheses. Although patch-based models performed better in mosaic landscapes (H1), they also provided useful conceptualizations in variegated landscapes. However, when patches showed high heterogeneity, gradient-based approaches better fit specialist species (H2). Conclusions The suitability of a given conceptual model depends on the interaction between species habitat specialization, and the intrinsic spatial heterogeneity of the landscape and the ability of each conceptualization to capture it. Gradient-based models provide better information on resource allocation, while patch-based models offer a simplified perspective on landscape attributes. Future research should consider the nature of both species and landscapes in order to avoid bias from inadequate landscape conceptualizations.
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spelling Thinking outside the patch: a multi-species comparison of conceptual models from real-world landscapesMosaic landscapevariegated landscapeContinuum modelHabitat qualityAbstract Context When modeling a species’ distribution, landscapes can alternatively be conceptualized following patch- or gradient-based approaches. However, choosing the most suitable conceptualization is difficult and methods for empirical validation are still lacking. Objectives To address the conditions under which a given conceptual model is more suitable, taking into account landscape context and species trait dependency effects. Patch- and gradient-based conceptualizations were built based on two structurally different landscapes: variegated and mosaic. We hypothesize that: (H1) gradient-based models better describe variegated landscapes while patch-based models perform better in mosaic landscapes; and (H2) gradient-based models will fit generalist species better while patch-based models will suit specialists better. Methods We modeled the distribution of eleven bird species in each landscape using each conceptualization. We determined the suitability of each conceptual model to fit statistical models by looking for cross-species responses and deviations from best models. Results We found no clear support for our hypotheses. Although patch-based models performed better in mosaic landscapes (H1), they also provided useful conceptualizations in variegated landscapes. However, when patches showed high heterogeneity, gradient-based approaches better fit specialist species (H2). Conclusions The suitability of a given conceptual model depends on the interaction between species habitat specialization, and the intrinsic spatial heterogeneity of the landscape and the ability of each conceptualization to capture it. Gradient-based models provide better information on resource allocation, while patch-based models offer a simplified perspective on landscape attributes. Future research should consider the nature of both species and landscapes in order to avoid bias from inadequate landscape conceptualizations.2018-02-16T14:55:50Z2018-02-162017-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/22302https://doi.org/Salgueiro, P.A., Mira, A., Rabaça, J.E. et al.(2017.)Thinking outside the patch: a multi-species comparison of conceptual models from real-world landscapes. Landscape Ecology. https://doi.org/10.1007/s10980-017-0603-yhttp://hdl.handle.net/10174/22302https://doi.org/doi.org/10.1007/s10980-017-0603-yengICAAMpas@uevora.ptamira@uevora.ptjrabaca@uevora.ptndndndndsmsantos@uevora.pt221Salgueiro, Pedro A.Mira, AntónioRabaça, João E.Silva, CarmoEufrázio, SofiaManghi, GiovanniSilva, BrunoSantos, Sara M.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:RCAAP2024-01-03T19:13:33Zoai:dspace.uevora.pt:10174/22302Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:13:24.307456Repositório 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 Thinking outside the patch: a multi-species comparison of conceptual models from real-world landscapes
title Thinking outside the patch: a multi-species comparison of conceptual models from real-world landscapes
spellingShingle Thinking outside the patch: a multi-species comparison of conceptual models from real-world landscapes
Salgueiro, Pedro A.
Mosaic landscape
variegated landscape
Continuum model
Habitat quality
title_short Thinking outside the patch: a multi-species comparison of conceptual models from real-world landscapes
title_full Thinking outside the patch: a multi-species comparison of conceptual models from real-world landscapes
title_fullStr Thinking outside the patch: a multi-species comparison of conceptual models from real-world landscapes
title_full_unstemmed Thinking outside the patch: a multi-species comparison of conceptual models from real-world landscapes
title_sort Thinking outside the patch: a multi-species comparison of conceptual models from real-world landscapes
author Salgueiro, Pedro A.
author_facet Salgueiro, Pedro A.
Mira, António
Rabaça, João E.
Silva, Carmo
Eufrázio, Sofia
Manghi, Giovanni
Silva, Bruno
Santos, Sara M.
author_role author
author2 Mira, António
Rabaça, João E.
Silva, Carmo
Eufrázio, Sofia
Manghi, Giovanni
Silva, Bruno
Santos, Sara M.
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Salgueiro, Pedro A.
Mira, António
Rabaça, João E.
Silva, Carmo
Eufrázio, Sofia
Manghi, Giovanni
Silva, Bruno
Santos, Sara M.
dc.subject.por.fl_str_mv Mosaic landscape
variegated landscape
Continuum model
Habitat quality
topic Mosaic landscape
variegated landscape
Continuum model
Habitat quality
description Abstract Context When modeling a species’ distribution, landscapes can alternatively be conceptualized following patch- or gradient-based approaches. However, choosing the most suitable conceptualization is difficult and methods for empirical validation are still lacking. Objectives To address the conditions under which a given conceptual model is more suitable, taking into account landscape context and species trait dependency effects. Patch- and gradient-based conceptualizations were built based on two structurally different landscapes: variegated and mosaic. We hypothesize that: (H1) gradient-based models better describe variegated landscapes while patch-based models perform better in mosaic landscapes; and (H2) gradient-based models will fit generalist species better while patch-based models will suit specialists better. Methods We modeled the distribution of eleven bird species in each landscape using each conceptualization. We determined the suitability of each conceptual model to fit statistical models by looking for cross-species responses and deviations from best models. Results We found no clear support for our hypotheses. Although patch-based models performed better in mosaic landscapes (H1), they also provided useful conceptualizations in variegated landscapes. However, when patches showed high heterogeneity, gradient-based approaches better fit specialist species (H2). Conclusions The suitability of a given conceptual model depends on the interaction between species habitat specialization, and the intrinsic spatial heterogeneity of the landscape and the ability of each conceptualization to capture it. Gradient-based models provide better information on resource allocation, while patch-based models offer a simplified perspective on landscape attributes. Future research should consider the nature of both species and landscapes in order to avoid bias from inadequate landscape conceptualizations.
publishDate 2017
dc.date.none.fl_str_mv 2017-12-01T00:00:00Z
2018-02-16T14:55:50Z
2018-02-16
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/10174/22302
https://doi.org/Salgueiro, P.A., Mira, A., Rabaça, J.E. et al.(2017.)Thinking outside the patch: a multi-species comparison of conceptual models from real-world landscapes. Landscape Ecology. https://doi.org/10.1007/s10980-017-0603-y
http://hdl.handle.net/10174/22302
https://doi.org/doi.org/10.1007/s10980-017-0603-y
url http://hdl.handle.net/10174/22302
https://doi.org/Salgueiro, P.A., Mira, A., Rabaça, J.E. et al.(2017.)Thinking outside the patch: a multi-species comparison of conceptual models from real-world landscapes. Landscape Ecology. https://doi.org/10.1007/s10980-017-0603-y
https://doi.org/doi.org/10.1007/s10980-017-0603-y
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv ICAAM
pas@uevora.pt
amira@uevora.pt
jrabaca@uevora.pt
nd
nd
nd
nd
smsantos@uevora.pt
221
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instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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