Combinando datos LiDAR e inventario forestal para identificar estados avanzadosde desarrollo en bosques caducifolios

摘要: Palop-Navarro, E., Banuelos, M. J., Quevedo, 2016. Using LiDAR and forest inventory data to identify late development stages in broad-leaved forest. Ecosistemas 25(3): 35-42. Doi.: 10.7818/ECOS.2016.25-3.04 Old-growth forests are generally scarce because of historic human exploitation ecosystems. Their structure – characterized by trees varying sizes ages, presence gaps abundant deadwood is particularly hard recover after homogenization derived from exploitation. Moreover, the conservation specialists, like saproxylic insects or woodpeckers, depends on this type structure. Characterizing identifying therefore important for conserving restoring their communities. Forest composition has been historically recorded inventories. These inventories provide valuable information, albeit discrete nature, may be less efficient areas difficult access. From regard, (Light Detection Ranging) technology provides tridimensional continuous information structure, making it a useful tool complementing field work In study we evaluated possibility quantifying successional NW corner Iberian Peninsula public (density 0.5 points m -2 ). First, compared LiDAR-derived variables with field-derived 4th National Inventory (IFN4), which showed existence correlations, especially at maximum averaged heights, though adjustment varies considerably diameter considered. Later built simple predictive models identification old-growth IFN4 plots (binary variable Bosque Viejo The final model was namely Altura desvest media 2 (indicators heterogeneous structures size development), together dominance different tree species IFN4. Results show that publically available Spanish can used compatible broadleaved forests.