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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1016/j.foreco.2026.123568</dc:identifier><dc:language>eng</dc:language><dc:creator>Pérez-Cabello, Fernando</dc:creator><dc:creator>Serrano-Notivoli, Roberto</dc:creator><dc:creator>Montorio, Raquel</dc:creator><dc:creator>Iranzo, Cristian</dc:creator><dc:title>The climate-fire nexus: Understanding post-fire vegetation recovery</dc:title><dc:identifier>ART-2026-147919</dc:identifier><dc:description>In Mediterranean ecosystems, high-frequency hydroclimatic variability, along with shifts in the fire regime, are key drivers of forest degradation. In this context, understanding post-fire vegetation recovery is crucial for both ecological research and forest management standpoint. Satellite-based remote sensing, particularly through orbital platforms, provides a robust framework for tracking post-fire vegetation dynamics. We assessed recovery patterns across 30 fire-affected areas in Aragón (northeastern Spain) by analyzing temporal trends in the Leaf Area Index (LAI), a widely used proxy for canopy structure, primary productivity, and vegetation health. Using Generalized Linear Mixed Models (GLMMs), we modeled LAI trajectories as a function of fire severity, dominant plant regenerative traits, and post-fire climatic conditions (drought or wet periods), including fire location as a random effect to account for spatial heterogeneity among burn sites. The models showed strong predictive capacity (R² ≈ 0.80), and the inclusion of random effects substantially improved model fit, underscoring the importance of site-specific factors in shaping recovery dynamics. Fire severity and post-fire moisture availability—particularly during the first years—were the most influential drivers of LAI regeneration. The regeneration mechanism of dominant vegetation also contributed to early post-fire recovery, although its influence diminished over time. From a forest management perspective, these findings can inform the design of post-fire recovery strategies based on different post-fire moisture and severity conditions.</dc:description><dc:date>2026</dc:date><dc:source>http://zaguan.unizar.es/record/168459</dc:source><dc:doi>10.1016/j.foreco.2026.123568</dc:doi><dc:identifier>http://zaguan.unizar.es/record/168459</dc:identifier><dc:identifier>oai:zaguan.unizar.es:168459</dc:identifier><dc:relation>info:eu-repo/grantAgreement/ES/DGA/S74-23R</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MCIN-AEI/PID2020-118886RB-I00-AEI-10.13039-501100011033</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MICINN/RYC2021-034330-I</dc:relation><dc:identifier.citation>Forest Ecology and Management 606 (2026), 123568 [13 pp.]</dc:identifier.citation><dc:rights>by</dc:rights><dc:rights>https://creativecommons.org/licenses/by/4.0/deed.es</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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