000168459 001__ 168459 000168459 005__ 20260205155159.0 000168459 0247_ $$2doi$$a10.1016/j.foreco.2026.123568 000168459 0248_ $$2sideral$$a147919 000168459 037__ $$aART-2026-147919 000168459 041__ $$aeng 000168459 100__ $$0(orcid)0000-0003-4831-4060$$aPérez-Cabello, Fernando$$uUniversidad de Zaragoza 000168459 245__ $$aThe climate-fire nexus: Understanding post-fire vegetation recovery 000168459 260__ $$c2026 000168459 5060_ $$aAccess copy available to the general public$$fUnrestricted 000168459 5203_ $$aIn 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. 000168459 536__ $$9info:eu-repo/grantAgreement/ES/DGA/S74-23R$$9info:eu-repo/grantAgreement/ES/MCIN-AEI/PID2020-118886RB-I00-AEI-10.13039-501100011033$$9info:eu-repo/grantAgreement/ES/MICINN/RYC2021-034330-I 000168459 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es 000168459 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000168459 700__ $$0(orcid)0000-0001-7663-1202$$aSerrano-Notivoli, Roberto$$uUniversidad de Zaragoza 000168459 700__ $$0(orcid)0000-0001-7403-1764$$aMontorio, Raquel$$uUniversidad de Zaragoza 000168459 700__ $$0(orcid)0000-0002-3359-6213$$aIranzo, Cristian$$uUniversidad de Zaragoza 000168459 7102_ $$13006$$2430$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Geografía Física 000168459 7102_ $$13006$$2010$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Análisis Geográfico Regi. 000168459 773__ $$g606 (2026), 123568 [13 pp.]$$pFor. ecol. manag.$$tForest Ecology and Management$$x0378-1127 000168459 8564_ $$s4207957$$uhttps://zaguan.unizar.es/record/168459/files/texto_completo.pdf$$yVersión publicada 000168459 8564_ $$s2789864$$uhttps://zaguan.unizar.es/record/168459/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000168459 909CO $$ooai:zaguan.unizar.es:168459$$particulos$$pdriver 000168459 951__ $$a2026-02-05-14:37:00 000168459 980__ $$aARTICLE