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dc.contributorFacultad de Ciencias Biologicas y Ambientaleses_ES
dc.contributor.authorFernández Guisuraga, José Manuel 
dc.contributor.authorFernandes, Paulo Alexandre Martins
dc.contributor.otherEcologiaes_ES
dc.date2024
dc.date.accessioned2024-04-29T12:47:30Z
dc.date.available2024-04-29T12:47:30Z
dc.identifier.citationFernández Guisuraga, J. M. and Fernandes, P. M. (2024). Enhanced post-wildfire vegetation recovery in prescribed-burnt Mediterranean shrubland: a regional assessment. Forest Ecology and Management, 561, Article e121921. https://doi.org/10.1016/j.foreco.2024.121921es_ES
dc.identifier.issn0378-1127
dc.identifier.otherhttps://www.sciencedirect.com/science/article/pii/S0378112724002330es_ES
dc.identifier.urihttps://hdl.handle.net/10612/20154
dc.description.abstract[EN] The primary objective of prescribed burning (PB) treatment is to promote increased ecosystem resistance to high fire severity and ecosystem adaptive resilience after unplanned wildfires under worsening climates. Yet, empirical evidence involving regional-scale assessments with enough spatial representativeness on how vegetation will respond to PB-wildfire interactions in Mediterranean shrublands is absent. This is particularly relevant to provide comprehensive insights on the effectiveness of PB policies and programs in southern European countries, where shrublands are the main PB target. Here, we investigated the PB effect on vegetation responses in the short-term (1–3 years) after subsequent wildfire encounters in Mediterranean shrublands at the regional scale across mainland Portugal. We leveraged geospatial cloud-computing platforms and remote sensing data (optical and synthetic aperture radar -SAR-) and techniques with physical basis to procure reliable proxies for vegetation fractional cover (FCOVER), vigor (normalized difference vegetation index; NDVI) and structural complexity (cross-polarization ratio of C-band SAR backscatter data; SAR-CR) at the landscape scale throughout the time series. The role of site productivity and topographic configuration variables as putative drivers of vegetation responses was also analyzed. We found that the mitigating effect of PB on wildfire severity translated into stronger vegetation responses in treated areas than in untreated counterparts after the first PB-wildfire encounter. Although FCOVER, NDVI and SAR-CR recovered gradually in both areas, the recovery rate was markedly higher in PB-treated areas 3-years after the PB-wildfire encounter than at earlier times in the time series. The effect of PB treatment was stronger for the FCOVER recovery response than for NDVI and SAR-CR. The effect of the PB treatment on FCOVER and NDVI responses was modulated by site environmental characteristics, such that their differences between PB-treated and untreated counterparts were maximal for both higher altitudes and warmer, drier locations in the landscapees_ES
dc.languageenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectEcología. Medio ambientees_ES
dc.subject.otherFire severityes_ES
dc.subject.otherFuel reduction treatmentes_ES
dc.subject.otherPortugales_ES
dc.subject.otherSARes_ES
dc.subject.otherSentinel-2es_ES
dc.subject.otherFCOVERes_ES
dc.titleEnhanced post-wildfire vegetation recovery in prescribed-burnt Mediterranean shrubland: a regional assessmentes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doi10.1016/j.foreco.2024.121921
dc.description.peerreviewedSIes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Programa Estatal para Impulsar la Investigación Científico-Técnica y su Transferencia/PID2022-139156OB-C21/ES/Susceptibilidad y vulnerabilidad del paisaje frente a megaincendios severos en el eje atlántico-mediterráneo: soluciones basadas en la naturaleza para una gestión proactiva/LANDSUSFIREes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MICIN//TED2021-130925B-I00/ES/Tecnologías disruptivas para la toma de decisiones en la gestión post-incendio basadas en las soluciones de computación en la nube/FIREMAPes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/Junta de Castilla y León//LE081P23/ES/IA Aplicación de técnicas de inteligencia artificial para evaluar el impacto del historial de uso del suelo en la vulnerabilidad de los ecosistemas de Castilla y León frente a incendios forestales extremos/IA-FIREXTCyLes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccesses_ES
dc.identifier.essn1872-7042
dc.journal.titleForest Ecology and Managementes_ES
dc.volume.number561es_ES
dc.page.initial121921es_ES
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersiones_ES
dc.subject.unesco2417.13 Ecología Vegetales_ES
dc.subject.unesco3106.99 Otras (Incendios forestales)es_ES
dc.subject.unesco2506.16 Teledetección (Geología)es_ES
dc.subject.unesco3106.06 Protecciónes_ES
dc.subject.unesco3106.01 Conservaciónes_ES
dc.description.projectThis study was financially supported by the Spanish Ministry of Science and Innovation in the framework of LANDSUSFIRE project (PID2022-139156OB-C21) within the National Program for the Promotion of Scientific-Technical Research (2021–2023), and with Next-Generation Funds of the European Union (EU) in the framework of the FIREMAP project (TED2021-130925B-I00); by the Regional Government of Castile and León in the framework of the IA-FIREXTCyL project (LE081P23); and by National Funds from FCT - Portuguese Foundation for Science and Technology, under the project UIDB/04033/2020 (https://doi.org/10.54499/UIDB/04033/2020)es_ES


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