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    <subfield code="a">10.1016/j.foreco.2026.123568</subfield>
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    <subfield code="a">eng</subfield>
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    <subfield code="a">Pérez-Cabello, Fernando</subfield>
    <subfield code="u">Universidad de Zaragoza</subfield>
    <subfield code="0">(orcid)0000-0003-4831-4060</subfield>
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  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">The climate-fire nexus: Understanding post-fire vegetation recovery</subfield>
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    <subfield code="c">2026</subfield>
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    <subfield code="a">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.</subfield>
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    <subfield code="a">Access copy available to the general public</subfield>
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    <subfield code="9">info:eu-repo/grantAgreement/ES/DGA/S74-23R</subfield>
    <subfield code="9">info:eu-repo/grantAgreement/ES/MCIN-AEI/PID2020-118886RB-I00-AEI-10.13039-501100011033</subfield>
    <subfield code="9">info:eu-repo/grantAgreement/ES/MICINN/RYC2021-034330-I</subfield>
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    <subfield code="a">Serrano-Notivoli, Roberto</subfield>
    <subfield code="u">Universidad de Zaragoza</subfield>
    <subfield code="0">(orcid)0000-0001-7663-1202</subfield>
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  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Montorio, Raquel</subfield>
    <subfield code="u">Universidad de Zaragoza</subfield>
    <subfield code="0">(orcid)0000-0001-7403-1764</subfield>
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  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Iranzo, Cristian</subfield>
    <subfield code="u">Universidad de Zaragoza</subfield>
    <subfield code="0">(orcid)0000-0002-3359-6213</subfield>
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    <subfield code="1">3006</subfield>
    <subfield code="2">430</subfield>
    <subfield code="a">Universidad de Zaragoza</subfield>
    <subfield code="b">Dpto. Geograf. Ordenac.Territ.</subfield>
    <subfield code="c">Área Geografía Física</subfield>
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    <subfield code="1">3006</subfield>
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    <subfield code="a">Universidad de Zaragoza</subfield>
    <subfield code="b">Dpto. Geograf. Ordenac.Territ.</subfield>
    <subfield code="c">Área Análisis Geográfico Regi.</subfield>
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  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="g">606 (2026), 123568 [13 pp.]</subfield>
    <subfield code="p">For. ecol. manag.</subfield>
    <subfield code="t">Forest Ecology and Management</subfield>
    <subfield code="x">0378-1127</subfield>
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