Journal
REMOTE SENSING
Volume 10, Issue 10, Pages -Publisher
MDPI
DOI: 10.3390/rs10101660
Keywords
airborne laser scanning; carbon sequestration; carbon silviculture; climate change; K-near neighbour
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Funding
- Life Projects-European Community [LIFE14 CCM/ES/001271]
- Spanish Ministry of Economy and Competitiveness grant [CGL2017-86161-R]
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Forest managers are interested in forest-monitoring strategies using low density Airborne Laser Scanning (ALS). However, little research has used ALS to estimate soil organic carbon (SOC) as a criterion for operational thinning. Our objective was to compare three different thinning intensities in terms of the on-site C stock after 13 years (2004-2017) and to develop models of biomass (Wt, Mg ha(-1)) and SOC (Mg ha(-1)) in Pinus halepensis forest, based on low density ALS in southern Spain. ALS was performed for the area and stand metrics were measured within 83 plots. Non-parametric kNN models were developed to estimate W-t and SOC. The overall C stock was significantly higher in plots subjected to heavy or moderate thinning (101.17 Mg ha(-1) and 100.94 Mg ha(-1), respectively) than in the control plots (91.83 Mg ha(-1)). The best W-t and SOC models provided R-2 values of 0.82 (W-t, MSNPP) and 0.82 (SOC-S-10, RAW). The study area will be able to stock 134,850 Mg of C under a non-intervention scenario and 157,958 Mg of C under the heavy thinning scenario. High-resolution cartography of the predicted C stock is useful for silvicultural planning and may be used for proper management to increase C sequestration in dry P. halepensis forests.
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