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      <dc:title>Using ForeStereo and LIDAR data to assess fire and canopy structure-related risks in relict Abies pinsapo Boiss. forests</dc:title>
      <dc:creator>Cortés-Molino, Álvaro</dc:creator>
      <dc:creator>Aulló-Maestro, Isabel</dc:creator>
      <dc:creator>Fernández-Luque, Ismael</dc:creator>
      <dc:creator>Flores-Moya, Antonio</dc:creator>
      <dc:creator>Carreira de la Fuente, José Antonio</dc:creator>
      <dc:creator>Salvo-Tierra, Ángel Enrique</dc:creator>
      <dc:subject>Incendios forestales - Prevención y control</dc:subject>
      <dc:description>In this study we combine information from aerial LIDAR and hemispherical&#xd;
images taken in the field with ForeStereo—a forest inventory device—to assess the&#xd;
vulnerability and to design conservation strategies for endangered Mediterranean fir&#xd;
forests based on the mapping of fire risk and canopy structure spatial variability.&#xd;
We focused on the largest continuous remnant population of the endangered tree&#xd;
species Abies pinsapo Boiss. spanning 252 ha in Sierra de las Nieves National Park&#xd;
(South Andalusia, Spain). We established 49 sampling plots over the study area.&#xd;
Stand structure variables were derived from ForeStereo device, a proximal sensing&#xd;
technology for tree diameter, height and crown dimensions and stand crown cover&#xd;
and basal area retrieval from stereoscopic hemispherical images photogrammetry.&#xd;
With this information, we developed regression models with airborne LIDAR data&#xd;
(spatial resolution of 0.5 points∙m−2). Thereafter, six fuel models were fitted to the&#xd;
plots according to the UCO40 classification criteria, and then the entire area was&#xd;
classified using the Nearest Neighbor algorithm on Sentinel imagery (overall&#xd;
accuracy of 0.56 and a KIA-Kappa Coefficient of 0.46). FlamMap software was used&#xd;
for fire simulation scenarios based on fuel models, stand structure, and terrain data.&#xd;
Besides the fire simulation, we analyzed canopy structure to assess the status and&#xd;
vulnerability of this fir population. The assessment shows a secondary growth forest&#xd;
that has an increasing presence of fuel models with the potential for high fire spread&#xd;
rate fire and burn probability. Our methodological approach has the potential to be&#xd;
integrated as a support tool for the adaptive management and conservation of&#xd;
A. pinsapo across its whole distribution area (&lt;4,000 ha), as well as for other&#xd;
endangered circum-Mediterranean fir forests, as A. numidica de Lannoy and&#xd;
A. pinsapo marocana Trab. in North Africa.</dc:description>
      <dc:date>2025-01-17T09:25:23Z</dc:date>
      <dc:date>2025-01-17T09:25:23Z</dc:date>
      <dc:date>2020</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>Cortés-Molino Á, Aulló-Maestro I, Fernandez-Luque I, Flores-Moya A, Carreira JA, Salvo AE. 2020. Using ForeStereo and LIDAR data to assess fire and canopy structure-related risks in relict Abies pinsapo Boiss. forests. PeerJ 8:e10158 DOI 10.7717/peerj.10158</dc:identifier>
      <dc:identifier>https://hdl.handle.net/10630/36464</dc:identifier>
      <dc:identifier>DOI 10.7717/peerj.10158</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:relation>Cortés-Molino Á, Aulló-Maestro I, Fernandez-Luque I, Flores-Moya A, Carreira JA, Salvo AE. 2020. Using&#xd;
ForeStereo and LIDAR data to assess fire and canopy structure-related risks in relict Abies pinsapo Boiss. forests. PeerJ 8:e10158&#xd;
DOI 10.7717/peerj.10158</dc:relation>
      <dc:rights>open access</dc:rights>
      <dc:publisher>PEERJ INC</dc:publisher>
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