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Modelling landscape constraints on farmland bird species range shifts under climate change.
Reino, Luís; Triviño, María; Beja, Pedro; Araújo, Miguel B; Figueira, Rui; Segurado, Pedro.
Afiliação
  • Reino L; CIBIO/InBIO-Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, Rua Padre Armando Quintas, n°9, 4485-661 Vairão, Portugal; CIBIO/InBIO-Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade de Évora, 7004-516 Évora, Por
  • Triviño M; University of Jyväskylä, Department of Biological and Environmental Sciences, P.O. Box 35, FI-40014 Jyväskylä, Finland; Museo de Nacional de Ciencias Naturales, CSIC, Calle José Gutiérrez Abascal, 2, 28006 Madrid, Spain.
  • Beja P; CIBIO/InBIO-Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, Rua Padre Armando Quintas, n°9, 4485-661 Vairão, Portugal; CEABN/InBIO-Centro de Estudos Ambientais 'Prof. Baeta Neves', Instituto Superior de Agronomia, Universidade de Lisboa
  • Araújo MB; CIBIO/InBIO-Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade de Évora, 7004-516 Évora, Portugal; Museo de Nacional de Ciencias Naturales, CSIC, Calle José Gutiérrez Abascal, 2, 28006 Madrid, Spain; Center for Macroecology, Evolution and Climate, Natural History Museum of D
  • Figueira R; CIBIO/InBIO-Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, Rua Padre Armando Quintas, n°9, 4485-661 Vairão, Portugal; CEABN/InBIO-Centro de Estudos Ambientais 'Prof. Baeta Neves', Instituto Superior de Agronomia, Universidade de Lisboa
  • Segurado P; CEF - Centro de Estudos Florestais, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal.
Sci Total Environ ; 625: 1596-1605, 2018 Jun 01.
Article em En | MEDLINE | ID: mdl-29996456
Several studies estimating the effects of global environmental change on biodiversity are focused on climate change. Yet, non-climatic factors such as changes in land cover can also be of paramount importance. This may be particularly important for habitat specialists associated with human-dominated landscapes, where land cover and climate changes may be largely decoupled. Here, we tested this idea by modelling the influence of climate, landscape composition and pattern, on the predicted future (2021-2050) distributions of 21 farmland bird species in the Iberian Peninsula, using boosted regression trees and 10-km resolution presence/absence data. We also evaluated whether habitat specialist species were more affected by landscape factors than generalist species. Overall, this study showed that the contribution of current landscape composition and pattern to the performance of species distribution models (SDMs) was relatively low. However, SDMs built using either climate or climate plus landscape variables yielded very different predictions of future species range shifts and, hence, of the geographical patterns of change in species richness. Our results indicate that open habitat specialist species tend to expand their range, whereas habitat generalist species tend to retract under climate change scenarios. The effect of incorporating landscape factors were particularly marked on open habitat specialists of conservation concern, for which the expected expansion under climate change seems to be severely constrained by land cover change. Overall, results suggest that particular attention should be given to landscape change in addition to climate when modelling the impacts of environmental changes for both farmland specialist and generalist bird distributions.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mudança Climática / Aves / Monitoramento Ambiental / Ecossistema Tipo de estudo: Prognostic_studies Limite: Animals País como assunto: Europa Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mudança Climática / Aves / Monitoramento Ambiental / Ecossistema Tipo de estudo: Prognostic_studies Limite: Animals País como assunto: Europa Idioma: En Ano de publicação: 2018 Tipo de documento: Article