Present and future distribution of Faidherbia albida in Cabo Verde as revealed by climatic modelling and LULC analysis

Detalhes bibliográficos
Autor(a) principal: Varela, Danilson
Data de Publicação: 2023
Outros Autores: Romeiras, Maria M., Silva, Luís
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/29144
Resumo: Climate change poses one of the most significant challenges to conserve biodiversity, especially in tropical dry islands, as is the case of Cabo Verde (northeast Atlantic Ocean). This archipelago has a low percentage of forest cover and hosts only seven native tree species, among them, Faidherbia albida (Delile) A.Chev. (Fabaceae). Therefore, protective afforestation is extremely important in Cabo Verde, one of the most vulnerable West African countries to climate change. With this work, we aimed to estimate the current distribution and potential shifts in suitable areas for F. albida under climate change, using species distribution models (i.e., random forest, generalized linear and additive models), covering its distribution range in Cabo Verde and mainland Africa. The best model was then projected for the studied area, at two different slice times, using Representative Concentration Pathway (RCP) 4.5 and 8.5 scenarios. Based on current bioclimatic variables, we estimated that almost two thirds of Cabo Verde’s territory is highly suitable for F. albida, which contrasts with its current occurrence. By overlaying the present habitat suitability with land use and land cover data, we concluded that habitat availability and suitability could be constrained by that factor. On average, the predicted suitable habitat for future distributions gradually decreases by 2080 under both scenarios compared with the current, with a smaller effect of RCP4.5 than of RCP8.5. Local authorities can benefit from this research and develop actions to promote sustainable reforestation in Cabo Verde, which should include native tree species that are best adapted to the local climate and could thus contribute to mitigate the effects of climate change.
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spelling Present and future distribution of Faidherbia albida in Cabo Verde as revealed by climatic modelling and LULC analysistropical dry islandsnative tree speciesspecies distribution modelsclimate changehabitat suitabilityCabo VerdeWest AfricaClimate change poses one of the most significant challenges to conserve biodiversity, especially in tropical dry islands, as is the case of Cabo Verde (northeast Atlantic Ocean). This archipelago has a low percentage of forest cover and hosts only seven native tree species, among them, Faidherbia albida (Delile) A.Chev. (Fabaceae). Therefore, protective afforestation is extremely important in Cabo Verde, one of the most vulnerable West African countries to climate change. With this work, we aimed to estimate the current distribution and potential shifts in suitable areas for F. albida under climate change, using species distribution models (i.e., random forest, generalized linear and additive models), covering its distribution range in Cabo Verde and mainland Africa. The best model was then projected for the studied area, at two different slice times, using Representative Concentration Pathway (RCP) 4.5 and 8.5 scenarios. Based on current bioclimatic variables, we estimated that almost two thirds of Cabo Verde’s territory is highly suitable for F. albida, which contrasts with its current occurrence. By overlaying the present habitat suitability with land use and land cover data, we concluded that habitat availability and suitability could be constrained by that factor. On average, the predicted suitable habitat for future distributions gradually decreases by 2080 under both scenarios compared with the current, with a smaller effect of RCP4.5 than of RCP8.5. Local authorities can benefit from this research and develop actions to promote sustainable reforestation in Cabo Verde, which should include native tree species that are best adapted to the local climate and could thus contribute to mitigate the effects of climate change.FrontiersRepositório da Universidade de LisboaVarela, DanilsonRomeiras, Maria M.Silva, Luís2023-10-27T13:45:03Z2023-032023-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/29144engVarela D, Romeiras MM and Silva L (2023) Present and future distribution of Faidherbia albida in Cabo Verde as revealed by climatic modelling and LULC analysis. Front. Ecol. Evol. 11:1057852.10.3389/fevo.2023.1057852info: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:RCAAP2023-10-29T01:31:00Zoai:www.repository.utl.pt:10400.5/29144Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:26:06.448189Repositório 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 Present and future distribution of Faidherbia albida in Cabo Verde as revealed by climatic modelling and LULC analysis
title Present and future distribution of Faidherbia albida in Cabo Verde as revealed by climatic modelling and LULC analysis
spellingShingle Present and future distribution of Faidherbia albida in Cabo Verde as revealed by climatic modelling and LULC analysis
Varela, Danilson
tropical dry islands
native tree species
species distribution models
climate change
habitat suitability
Cabo Verde
West Africa
title_short Present and future distribution of Faidherbia albida in Cabo Verde as revealed by climatic modelling and LULC analysis
title_full Present and future distribution of Faidherbia albida in Cabo Verde as revealed by climatic modelling and LULC analysis
title_fullStr Present and future distribution of Faidherbia albida in Cabo Verde as revealed by climatic modelling and LULC analysis
title_full_unstemmed Present and future distribution of Faidherbia albida in Cabo Verde as revealed by climatic modelling and LULC analysis
title_sort Present and future distribution of Faidherbia albida in Cabo Verde as revealed by climatic modelling and LULC analysis
author Varela, Danilson
author_facet Varela, Danilson
Romeiras, Maria M.
Silva, Luís
author_role author
author2 Romeiras, Maria M.
Silva, Luís
author2_role author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Varela, Danilson
Romeiras, Maria M.
Silva, Luís
dc.subject.por.fl_str_mv tropical dry islands
native tree species
species distribution models
climate change
habitat suitability
Cabo Verde
West Africa
topic tropical dry islands
native tree species
species distribution models
climate change
habitat suitability
Cabo Verde
West Africa
description Climate change poses one of the most significant challenges to conserve biodiversity, especially in tropical dry islands, as is the case of Cabo Verde (northeast Atlantic Ocean). This archipelago has a low percentage of forest cover and hosts only seven native tree species, among them, Faidherbia albida (Delile) A.Chev. (Fabaceae). Therefore, protective afforestation is extremely important in Cabo Verde, one of the most vulnerable West African countries to climate change. With this work, we aimed to estimate the current distribution and potential shifts in suitable areas for F. albida under climate change, using species distribution models (i.e., random forest, generalized linear and additive models), covering its distribution range in Cabo Verde and mainland Africa. The best model was then projected for the studied area, at two different slice times, using Representative Concentration Pathway (RCP) 4.5 and 8.5 scenarios. Based on current bioclimatic variables, we estimated that almost two thirds of Cabo Verde’s territory is highly suitable for F. albida, which contrasts with its current occurrence. By overlaying the present habitat suitability with land use and land cover data, we concluded that habitat availability and suitability could be constrained by that factor. On average, the predicted suitable habitat for future distributions gradually decreases by 2080 under both scenarios compared with the current, with a smaller effect of RCP4.5 than of RCP8.5. Local authorities can benefit from this research and develop actions to promote sustainable reforestation in Cabo Verde, which should include native tree species that are best adapted to the local climate and could thus contribute to mitigate the effects of climate change.
publishDate 2023
dc.date.none.fl_str_mv 2023-10-27T13:45:03Z
2023-03
2023-03-01T00:00:00Z
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/10400.5/29144
url http://hdl.handle.net/10400.5/29144
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Varela D, Romeiras MM and Silva L (2023) Present and future distribution of Faidherbia albida in Cabo Verde as revealed by climatic modelling and LULC analysis. Front. Ecol. Evol. 11:1057852.
10.3389/fevo.2023.1057852
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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