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Differential Adaptive Potential and Vulnerability to Climate-Driven Habitat Loss in Brazilian Mangroves

dc.contributor.authorde Deus Vidal Junior, João
dc.contributor.authorMori, Gustavo Maruyama [UNESP]
dc.contributor.authorCruz, Mariana Vargas
dc.contributor.authorda Silva, Michele Fernandes
dc.contributor.authorde Moura, Yohans Alves
dc.contributor.authorde Souza, Anete Pereira
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2023-07-29T12:56:20Z
dc.date.available2023-07-29T12:56:20Z
dc.date.issued2022-01-01
dc.description.abstractGeographic and environmental differences have been identified as factors influencing Brazilian mangrove trees' genetic diversity. Geographically, distinct species have convergent spatial genetic structures, indicating a limited gene flow between northern and southern populations. Environmentally, genomic studies and common garden experiments have found evidence of local adaptations along the latitudinal gradient of the Brazilian coast. However, little is known about how such adaptive heterogeneity could be affected by a rapidly changing climate in the coming decades, and the combination of deforestation and climate-induced habitat loss may affect these forests and their genetic diversity. Here, we applied two genomic-environmental association methods to model the turnover of potentially adaptive alleles for two dominant mangrove trees: Avicennia germinans and A. schaueriana. We analyzed a total of 134 individuals from six populations of A. germinans and 10 populations of A. schaueriana spanning the Brazilian coast from 1 °S to 28 °S. Gradient forest models identified temperature-related variables as the most important predictors for A. germinans outlier loci, whereas both temperature and precipitation were important for A. schaueriana. We modeled allele frequencies and projected them for future climatic scenarios to estimate adaptively driven vulnerability. We assessed climate-driven habitat loss through climate-only distribution models and calculated annual deforestation rates for each sampled region. Finally, to assess the vulnerability of individual populations, we combined the environmental suitability, deforestation data, and adaptive vulnerability projections. For both species, subtropical populations presented a higher vulnerability than equatorial populations to climate-driven habitat loss. We also identified deforestation rates at the sampled sites that were alarmingly higher than the global average mangrove deforestation rate. Our results provide improved estimates of the impacts of ongoing climate change and human-caused habitat loss on the distribution of mangroves and highlight the importance of site-based conservation strategies that consider individual subtropical and equatorial mangrove forests.en
dc.description.affiliationUniversity of Campinas Universidade Estadual de Campinas (UNICAMP) Department of Plant Biology
dc.description.affiliationUniversity of Campinas - UNICAMP Molecular Biology and Genetic Engineering Center (CBMEG)
dc.description.affiliationSão Paulo State University - Universidade Estadual Paulista Julio de Mesquita Filho (UNESP) Institute of Biosciences
dc.description.affiliationUnespSão Paulo State University - Universidade Estadual Paulista Julio de Mesquita Filho (UNESP) Institute of Biosciences
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipIdCNPq: 153973/2018-8
dc.description.sponsorshipIdFAPESP: 2013/08086-1
dc.description.sponsorshipIdFAPESP: 2013/26793-7
dc.description.sponsorshipIdFAPESP: 2014/22821-9
dc.description.sponsorshipIdFAPESP: 2018/18431-1
dc.description.sponsorshipIdFAPESP: 2019/21100-00
dc.description.sponsorshipIdFAPESP: 2020/00203-2
dc.description.sponsorshipIdCNPq: 312777/2018-3
dc.description.sponsorshipIdCNPq: 448286/2014-9
dc.description.sponsorshipIdCAPES: 88882.160095/2013-01
dc.description.sponsorshipIdCAPES: 88887.185143/2018-00
dc.description.sponsorshipIdCAPES: 88887.373880/2019-00
dc.identifierhttp://dx.doi.org/10.3389/fcosc.2022.763325
dc.identifier.citationFrontiers in Conservation Science, v. 3.
dc.identifier.doi10.3389/fcosc.2022.763325
dc.identifier.issn2673-611X
dc.identifier.scopus2-s2.0-85150015236
dc.identifier.urihttp://hdl.handle.net/11449/247002
dc.language.isoeng
dc.relation.ispartofFrontiers in Conservation Science
dc.sourceScopus
dc.subjectadaptive potential
dc.subjectAvicennia germinans
dc.subjectconvergent genetics
dc.subjectniche modeling
dc.subjectpopulation genetics
dc.titleDifferential Adaptive Potential and Vulnerability to Climate-Driven Habitat Loss in Brazilian Mangrovesen
dc.typeArtigo

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