Future habitat suitability for species under climate change: lessons learned from the strawberry tree case study
Autor(a) principal: | |
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Data de Publicação: | 2021 |
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/10400.11/7610 |
Resumo: | Climate change is already a reality, and habitat loss is affecting relentlessly tree species distributions. The strawberry tree (Arbutus unedo L., Ericaceae) is a Mediterranean evergreen tree used in this article as a case study to evince its expected threatening situation in the upcoming age. This research work seeks to identify the bioclimatic and physiographic variables that have the most impact on the strawberry tree’s spatial distribution in Portugal, acquiring vital knowledge for the design of accurate conservation and afforestation plans for the use and conservation of strawberry tree, working as a guide under a climate change scenario. For that, twenty-one bioclimatic variables, two physiographic attributes (altitude and slope), and the Emberger Index (EI) were used together with 318 observations of strawberry trees, to build a scalable Bayesian procedure, based on machine learning techniques, aimed to assess the species’ future habitat evolution through three temporal scenarios: (i) Control Run (1960–1990); (ii) 2050 and (iii) 2070. The results indicate for 2050 a 30% loss of the humid subregion and a 35% increase in the semi-arid sub-region towards the north. In 2070, it is expected a 2% recuperation for the sub-humid area, but an 8% loss of the humid sub-area. Under these extreme climate change conditions, it is anticipated an almost complete loss of habitat for the strawberry tree in the south of Portugal. The expected ecological evolvability may trigger future migration paths and new refuges’ settlement in the northern sub-region for the succeeding decades and suggesting after 2070 the possibility of habitat switch and species drifting. |
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Future habitat suitability for species under climate change: lessons learned from the strawberry tree case studyArbutus unedoClimate changeBayesian networkHabitat suitabilityMigrationNatural refugeClimate change is already a reality, and habitat loss is affecting relentlessly tree species distributions. The strawberry tree (Arbutus unedo L., Ericaceae) is a Mediterranean evergreen tree used in this article as a case study to evince its expected threatening situation in the upcoming age. This research work seeks to identify the bioclimatic and physiographic variables that have the most impact on the strawberry tree’s spatial distribution in Portugal, acquiring vital knowledge for the design of accurate conservation and afforestation plans for the use and conservation of strawberry tree, working as a guide under a climate change scenario. For that, twenty-one bioclimatic variables, two physiographic attributes (altitude and slope), and the Emberger Index (EI) were used together with 318 observations of strawberry trees, to build a scalable Bayesian procedure, based on machine learning techniques, aimed to assess the species’ future habitat evolution through three temporal scenarios: (i) Control Run (1960–1990); (ii) 2050 and (iii) 2070. The results indicate for 2050 a 30% loss of the humid subregion and a 35% increase in the semi-arid sub-region towards the north. In 2070, it is expected a 2% recuperation for the sub-humid area, but an 8% loss of the humid sub-area. Under these extreme climate change conditions, it is anticipated an almost complete loss of habitat for the strawberry tree in the south of Portugal. The expected ecological evolvability may trigger future migration paths and new refuges’ settlement in the northern sub-region for the succeeding decades and suggesting after 2070 the possibility of habitat switch and species drifting.ElsevierRepositório Científico do Instituto Politécnico de Castelo BrancoGerassis, SakiAlbuquerque, M.T.DRoque, NatáliaRibeiro, SílviaTaboada, JavierRibeiro, M. M.A.2023-12-31T01:30:42Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.11/7610engGERASSIS, Saki [et al.] (2021) - Future habitat suitability for species under climate change: lessons learned from the strawberry tree case study. Forest Ecology and Management. ISSN 0378-1127. Vol. 491, p. 119150. Doi: https://doi.org/10.1016/j.foreco.2021.1191500378-112710.1016/j.foreco.2021.119150info: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:RCAAP2024-01-06T01:46:05Zoai:repositorio.ipcb.pt:10400.11/7610Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:38:04.191421Repositório 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 |
Future habitat suitability for species under climate change: lessons learned from the strawberry tree case study |
title |
Future habitat suitability for species under climate change: lessons learned from the strawberry tree case study |
spellingShingle |
Future habitat suitability for species under climate change: lessons learned from the strawberry tree case study Gerassis, Saki Arbutus unedo Climate change Bayesian network Habitat suitability Migration Natural refuge |
title_short |
Future habitat suitability for species under climate change: lessons learned from the strawberry tree case study |
title_full |
Future habitat suitability for species under climate change: lessons learned from the strawberry tree case study |
title_fullStr |
Future habitat suitability for species under climate change: lessons learned from the strawberry tree case study |
title_full_unstemmed |
Future habitat suitability for species under climate change: lessons learned from the strawberry tree case study |
title_sort |
Future habitat suitability for species under climate change: lessons learned from the strawberry tree case study |
author |
Gerassis, Saki |
author_facet |
Gerassis, Saki Albuquerque, M.T.D Roque, Natália Ribeiro, Sílvia Taboada, Javier Ribeiro, M. M.A. |
author_role |
author |
author2 |
Albuquerque, M.T.D Roque, Natália Ribeiro, Sílvia Taboada, Javier Ribeiro, M. M.A. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico de Castelo Branco |
dc.contributor.author.fl_str_mv |
Gerassis, Saki Albuquerque, M.T.D Roque, Natália Ribeiro, Sílvia Taboada, Javier Ribeiro, M. M.A. |
dc.subject.por.fl_str_mv |
Arbutus unedo Climate change Bayesian network Habitat suitability Migration Natural refuge |
topic |
Arbutus unedo Climate change Bayesian network Habitat suitability Migration Natural refuge |
description |
Climate change is already a reality, and habitat loss is affecting relentlessly tree species distributions. The strawberry tree (Arbutus unedo L., Ericaceae) is a Mediterranean evergreen tree used in this article as a case study to evince its expected threatening situation in the upcoming age. This research work seeks to identify the bioclimatic and physiographic variables that have the most impact on the strawberry tree’s spatial distribution in Portugal, acquiring vital knowledge for the design of accurate conservation and afforestation plans for the use and conservation of strawberry tree, working as a guide under a climate change scenario. For that, twenty-one bioclimatic variables, two physiographic attributes (altitude and slope), and the Emberger Index (EI) were used together with 318 observations of strawberry trees, to build a scalable Bayesian procedure, based on machine learning techniques, aimed to assess the species’ future habitat evolution through three temporal scenarios: (i) Control Run (1960–1990); (ii) 2050 and (iii) 2070. The results indicate for 2050 a 30% loss of the humid subregion and a 35% increase in the semi-arid sub-region towards the north. In 2070, it is expected a 2% recuperation for the sub-humid area, but an 8% loss of the humid sub-area. Under these extreme climate change conditions, it is anticipated an almost complete loss of habitat for the strawberry tree in the south of Portugal. The expected ecological evolvability may trigger future migration paths and new refuges’ settlement in the northern sub-region for the succeeding decades and suggesting after 2070 the possibility of habitat switch and species drifting. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 2021-01-01T00:00:00Z 2023-12-31T01:30:42Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.11/7610 |
url |
http://hdl.handle.net/10400.11/7610 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
GERASSIS, Saki [et al.] (2021) - Future habitat suitability for species under climate change: lessons learned from the strawberry tree case study. Forest Ecology and Management. ISSN 0378-1127. Vol. 491, p. 119150. Doi: https://doi.org/10.1016/j.foreco.2021.119150 0378-1127 10.1016/j.foreco.2021.119150 |
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 |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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