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/10362/160191
Resumo: Funding Information: Special thanks to Silvia Catarino and Lara Dutra Silva for all their support in modelling. The authors thank the herbarium curator (Maria Cristina Duarte, FCUL) of the LISC Herbarium (IICT/ULisboa). We thank to Fundação para a Ciência e Tecnologia (FCT) and Aga Khan Development Network (AKDN) under the project CVAgrobiodiversity. Also to the research unit UID/AGR/04129/2020 (LEAF) and CIBIO-Açores funded by Portuguese National Funds through FCT, Portugal. Funding Information: Special thanks to Silvia Catarino and Lara Dutra Silva for all their support in modelling. The authors thank the herbarium curator (Maria Cristina Duarte, FCUL) of the LISC Herbarium (IICT/ULisboa). We thank to Fundação para a Ciência e Tecnologia (FCT) and Aga Khan Development Network (AKDN) under the project CVAgrobiodiversity. Also to the research unit UID/AGR/04129/2020 (LEAF) and CIBIO-Açores funded by Portuguese National Funds through FCT, Portugal. Funding Information: This research was funded by the Fundação para a Ciência e Tecnologia (FCT) and Aga Khan Development Network (AKDN) through the project CVAgrobiodiversity/333111699. DV was supported by FCT grant (SFRH/BD/135354/2017). Publisher Copyright: Copyright © 2023 Varela, Romeiras and Silva.
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spelling Present and future distribution of Faidherbia albida in Cabo Verde as revealed by climatic modelling and LULC analysisCabo Verdeclimate changehabitat suitabilitynative tree speciesspecies distribution modelstropical dry islandsWest AfricaEcology, Evolution, Behavior and SystematicsEcologySDG 13 - Climate ActionSDG 15 - Life on LandFunding Information: Special thanks to Silvia Catarino and Lara Dutra Silva for all their support in modelling. The authors thank the herbarium curator (Maria Cristina Duarte, FCUL) of the LISC Herbarium (IICT/ULisboa). We thank to Fundação para a Ciência e Tecnologia (FCT) and Aga Khan Development Network (AKDN) under the project CVAgrobiodiversity. Also to the research unit UID/AGR/04129/2020 (LEAF) and CIBIO-Açores funded by Portuguese National Funds through FCT, Portugal. Funding Information: Special thanks to Silvia Catarino and Lara Dutra Silva for all their support in modelling. The authors thank the herbarium curator (Maria Cristina Duarte, FCUL) of the LISC Herbarium (IICT/ULisboa). We thank to Fundação para a Ciência e Tecnologia (FCT) and Aga Khan Development Network (AKDN) under the project CVAgrobiodiversity. Also to the research unit UID/AGR/04129/2020 (LEAF) and CIBIO-Açores funded by Portuguese National Funds through FCT, Portugal. Funding Information: This research was funded by the Fundação para a Ciência e Tecnologia (FCT) and Aga Khan Development Network (AKDN) through the project CVAgrobiodiversity/333111699. DV was supported by FCT grant (SFRH/BD/135354/2017). Publisher Copyright: Copyright © 2023 Varela, Romeiras and Silva.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.NOVA School of Business and Economics (NOVA SBE)RUNVarela, DanilsonRomeiras, Maria M.Silva, Luís2023-11-20T22:10:13Z20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/160191eng2296-701XPURE: 64223776https://doi.org/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:RCAAP2024-03-11T05:42:44Zoai:run.unl.pt:10362/160191Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:57:53.955783Repositório 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
Cabo Verde
climate change
habitat suitability
native tree species
species distribution models
tropical dry islands
West Africa
Ecology, Evolution, Behavior and Systematics
Ecology
SDG 13 - Climate Action
SDG 15 - Life on Land
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 NOVA School of Business and Economics (NOVA SBE)
RUN
dc.contributor.author.fl_str_mv Varela, Danilson
Romeiras, Maria M.
Silva, Luís
dc.subject.por.fl_str_mv Cabo Verde
climate change
habitat suitability
native tree species
species distribution models
tropical dry islands
West Africa
Ecology, Evolution, Behavior and Systematics
Ecology
SDG 13 - Climate Action
SDG 15 - Life on Land
topic Cabo Verde
climate change
habitat suitability
native tree species
species distribution models
tropical dry islands
West Africa
Ecology, Evolution, Behavior and Systematics
Ecology
SDG 13 - Climate Action
SDG 15 - Life on Land
description Funding Information: Special thanks to Silvia Catarino and Lara Dutra Silva for all their support in modelling. The authors thank the herbarium curator (Maria Cristina Duarte, FCUL) of the LISC Herbarium (IICT/ULisboa). We thank to Fundação para a Ciência e Tecnologia (FCT) and Aga Khan Development Network (AKDN) under the project CVAgrobiodiversity. Also to the research unit UID/AGR/04129/2020 (LEAF) and CIBIO-Açores funded by Portuguese National Funds through FCT, Portugal. Funding Information: Special thanks to Silvia Catarino and Lara Dutra Silva for all their support in modelling. The authors thank the herbarium curator (Maria Cristina Duarte, FCUL) of the LISC Herbarium (IICT/ULisboa). We thank to Fundação para a Ciência e Tecnologia (FCT) and Aga Khan Development Network (AKDN) under the project CVAgrobiodiversity. Also to the research unit UID/AGR/04129/2020 (LEAF) and CIBIO-Açores funded by Portuguese National Funds through FCT, Portugal. Funding Information: This research was funded by the Fundação para a Ciência e Tecnologia (FCT) and Aga Khan Development Network (AKDN) through the project CVAgrobiodiversity/333111699. DV was supported by FCT grant (SFRH/BD/135354/2017). Publisher Copyright: Copyright © 2023 Varela, Romeiras and Silva.
publishDate 2023
dc.date.none.fl_str_mv 2023-11-20T22:10:13Z
2023
2023-01-01T00:00:00Z
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url http://hdl.handle.net/10362/160191
dc.language.iso.fl_str_mv eng
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PURE: 64223776
https://doi.org/10.3389/fevo.2023.1057852
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