Present and future distribution of Faidherbia albida in Cabo Verde as revealed by climatic modelling and LULC analysis
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2023 |
| Outros Autores: | , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| 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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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, Danilson MascarenhasRomeiras, 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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-12-23T01:36:24Zoai:run.unl.pt:10362/160191Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:46:33.469223Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| 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 Mascarenhas 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 Mascarenhas |
| author_facet |
Varela, Danilson Mascarenhas 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 Mascarenhas 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 |
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2023-11-20T22:10:13Z 2023 2023-01-01T00:00:00Z |
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eng |
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2296-701X PURE: 64223776 https://doi.org/10.3389/fevo.2023.1057852 |
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