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

dc.contributor.authorVarela, Danilson
dc.contributor.authorRomeiras, Maria M.
dc.contributor.authorSilva, Luís
dc.date.accessioned2023-10-04T17:56:31Z
dc.date.available2023-10-04T17:56:31Z
dc.date.issued2023-03
dc.description.abstractClimate 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationVarela 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. doi: 10.3389/fevo.2023.1057852pt_PT
dc.identifier.doi10.3389/fevo.2023.1057852pt_PT
dc.identifier.urihttp://hdl.handle.net/10451/59568
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherFrontierspt_PT
dc.relationFundação 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).pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.titlePresent and future distribution of Faidherbia albida in Cabo Verde as revealed by climatic modelling and LULC analysispt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleFrontiers in Ecology and Evolutionpt_PT
oaire.citation.volume11pt_PT
person.familyNameRomeiras
person.givenNameMaria
person.identifier520836
person.identifier.ciencia-id6A1C-085E-9038
person.identifier.orcid0000-0002-9373-6302
person.identifier.ridJ-4552-2013
person.identifier.scopus-author-id15842082800
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationea7b586c-693d-44b0-a338-990949ac6e02
relation.isAuthorOfPublication.latestForDiscoveryea7b586c-693d-44b0-a338-990949ac6e02

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