Climate legacies drive the distribution and future restoration potential of dryland forests

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Campo DCValorIdioma
dc.contributorLaboratorio de Ecología de Zonas Áridas y Cambio Global (DRYLAB)es_ES
dc.contributor.authorGuirado, Emilio-
dc.contributor.authorDelgado-Baquerizo, Manuel-
dc.contributor.authorMartínez-Valderrama, Jaime-
dc.contributor.authorTabik, Siham-
dc.contributor.authorAlcaraz-Segura, Domingo-
dc.contributor.authorMaestre, Fernando T.-
dc.contributor.otherUniversidad de Alicante. Departamento de Ecologíaes_ES
dc.contributor.otherUniversidad de Alicante. Instituto Multidisciplinar para el Estudio del Medio "Ramón Margalef"es_ES
dc.date.accessioned2022-09-26T06:26:07Z-
dc.date.available2022-09-26T06:26:07Z-
dc.date.issued2022-07-25-
dc.identifier.citationNature Plants. 2022, 8: 879-886. https://doi.org/10.1038/s41477-022-01198-8es_ES
dc.identifier.issn2055-026X (Print)-
dc.identifier.issn2055-0278 (Online)-
dc.identifier.urihttp://hdl.handle.net/10045/127501-
dc.description.abstractKnowing the extent and environmental drivers of forests is key to successfully restore degraded ecosystems, and to mitigate climate change and desertification impacts using tree planting. Water availability is the main limiting factor for the development of forests in drylands, yet the importance of groundwater resources and palaeoclimate as drivers of their current distribution has been neglected. Here we report that mid-Holocene climates and aquifer trends are key predictors of the distribution of dryland forests worldwide. We also updated the global extent of dryland forests to 1,283 million hectares and showed that failing to consider past climates and aquifers has resulted in ignoring or misplacing up to 130 million hectares of forests in drylands. Our findings highlight the importance of a wetter past and well-preserved aquifers to explain the current distribution of dryland forests, and can guide restoration actions by avoiding unsuitable areas for tree establishment in a drier world.es_ES
dc.description.sponsorshipThis research was funded by the European Research Council (ERC Grant agreement 647038 (BIODESERT)) and Generalitat Valenciana (CIDEGENT/2018/041). E.G. was supported by the Consellería de Educación, Cultura y Deporte de la Generalitat Valenciana, and the European Social Fund (APOSTD/2021/188). D.A-S. was partially supported by DETECTOR (grant no. A-RNM-256-UGR18, Universidad de Granada/FEDER), LifeWatch SmartEcoMountains (grant no. LifeWatch-2019-10-UGR-01, Ministerio de Ciencia e Innovación/Universidad de Granada/FEDER), RESISTE (grant no. P18-RT-1927, Consejería de Economía, Conocimiento y Universidad from the Junta de Andalucía/FEDER) and EBV–ScaleUp project (funded by Google Earth Engine and the Group on Earth Observations). M.D-B. acknowledges support from the Spanish Ministry of Science and Innovation (for the I+D+i project PID2020-115813RA-I00 funded by MCIN/AEI/10.13039/501100011033), and from a project of the Fondo Europeo de Desarrollo Regional (FEDER) and the Consejería de Transformación Económica, Industria, Conocimiento y Universidades of the Junta de Andalucía (FEDER Andalucía 2014-2020 Objetivo temático ‘01 - Refuerzo de la investigación, el desarrollo tecnológico y la innovación’) associated with the research project P20_00879 (ANDABIOMA). S.T. was supported by DeepL-ISCO (grant no. A-TIC-458-UGR18, Ministerio de Ciencia e Innovación/FEDER), BigDDL-CET (grant no. P18-FR-4961, Proyectos I+D+i Junta de Andalucia 2018) and LifeWatch SmartEcoMountains.es_ES
dc.languageenges_ES
dc.publisherSpringer Naturees_ES
dc.rights© The Author(s), under exclusive licence to Springer Nature Limited 2022es_ES
dc.subjectDryland forestses_ES
dc.subjectClimate legacieses_ES
dc.subjectDistributiones_ES
dc.subjectFuture restorationes_ES
dc.titleClimate legacies drive the distribution and future restoration potential of dryland forestses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.peerreviewedsies_ES
dc.identifier.doi10.1038/s41477-022-01198-8-
dc.relation.publisherversionhttps://doi.org/10.1038/s41477-022-01198-8es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/647038es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-115813RA-I00es_ES
Aparece en las colecciones:Investigaciones financiadas por la UE
INV - DRYLAB - Artículos de Revistas

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