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Assessment of the Carbon Stock in Pine Plantations in Southern Spain through ALS Data and K-Nearest Neighbor Algorithm Based Models
dc.contributor.author | Navarrete-Poyatos, Miguel A. | |
dc.contributor.author | Navarro Cerrillo, Rafael M. | |
dc.contributor.author | Lara-Gómez, Miguel | |
dc.contributor.author | Duque Lazo, Joaquín | |
dc.contributor.author | Varo, M.A. | |
dc.contributor.author | Palacios Rodríguez, Guillermo | |
dc.date.accessioned | 2020-06-30T20:07:43Z | |
dc.date.available | 2020-06-30T20:07:43Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | http://hdl.handle.net/10396/20270 | |
dc.description.abstract | Accurate estimation of forest biomass to enable the mapping of forest C stocks over large areas is of considerable interest nowadays. Airborne laser scanning (ALS) systems bring a new perspective to forest inventories and subsequent biomass estimation. The objective of this research was to combine growth models used to update old inventory data to a reference year, low-density ALS data, and k-nearest neighbor (kNN) algorithm Random Forest to conduct biomass inventories aimed at estimating the C sequestration capacity in large Pinus plantations. We obtained a C stock in biomass (Wt-S) of 12.57 Mg·ha−1, ranging significantly from 19.93 Mg·ha−1 for P. halepensis to 49.05 Mg·ha−1 for P. nigra, and a soil organic C stock of the composite soil samples (0–40 cm) ranging from 20.41 Mg·ha−1 in P. sylvestris to 37.32 Mg·ha−1 in P. halepensis. When generalizing these data to the whole area, we obtained an overall C-stock value of 48.01 MgC·ha−1, ranging from 23.96 MgC·ha−1 for P. halepensis to 58.09 MgC·ha−1 for P. nigra. Considering the mean value of the on-site C stock, the study area sustains 1,289,604 Mg per hectare (corresponding to 4,732,869 Mg CO2), with a net increase of 4.79 Mg·ha−1·year−1. Such C cartography can help forest managers to improve forest silviculture with regard to C sequestration and, thus, climate change mitigation. | es_ES |
dc.format.mimetype | application/pdf | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | https://creativecommons.org/licenses/by/4.0/ | es_ES |
dc.source | Geosciences 9(10), 442 (2019) | es_ES |
dc.subject | Airborne laser scanning | es_ES |
dc.subject | Forest inventory | es_ES |
dc.subject | Pinus plantations | es_ES |
dc.subject | C stocks | es_ES |
dc.subject | K-nearest neighbor | es_ES |
dc.subject | Forest management | es_ES |
dc.title | Assessment of the Carbon Stock in Pine Plantations in Southern Spain through ALS Data and K-Nearest Neighbor Algorithm Based Models | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.3390/geosciences9100442 | es_ES |
dc.relation.projectID | Unión Europea. LIFE14 CCM/ES/001271 (LIFE FOREST CO2) | es_ES |
dc.relation.projectID | Gobierno de España. CGL2017-86161-R (ESPECTRAMED) | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/641762 (ECOPOTENTIAL) | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |