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dc.contributor.authorPalacios Rodríguez, Guillermo
dc.contributor.authorQuinto, Luis
dc.contributor.authorLara-Gómez, Miguel
dc.contributor.authorPérez Romero, Javier
dc.contributor.authorRecio, José Manuel
dc.contributor.authorÁlvarez-Romero, Marta
dc.contributor.authorCachinero-Vivar, Antonio M.
dc.contributor.authorHernández-Navarro, Salvador
dc.contributor.authorNavarro Cerrillo, Rafael M.
dc.date.accessioned2022-02-11T08:04:46Z
dc.date.available2022-02-11T08:04:46Z
dc.date.issued2022
dc.identifier.urihttp://hdl.handle.net/10396/22452
dc.description.abstractClimate change is one of the environmental issues of global dominance and public opinion, becoming the greatest environmental challenge and of interest to researchers. In this context, planting trees on marginal agricultural land is considered a favourable measure to alleviate climate change, as they act as carbon sinks. Aerial laser scanning (ALS) data is an emerging technology for quantitative measures of C stocks. In this study, an estimation was made of the gains of C in biomass and soil in carob (Ceratonia siliqua L.) plantations established on agricultural land in southern Spain. The average above-ground biomass (AGB) corresponded to 85.5% of the total biomass (average 34.01 kg tree−1), and the root biomass (BGB) was 14.5% (6.96 kg tree−1), with a BGB/AGB ratio of 0.20. The total SOC stock in the top 20 cm of the soil (SOC-S20) was 60.70 Mg C ha−1 underneath the tree crown and 43.63 Mg C ha−1 on the non-cover (implantation) area for the C. siliqua plantations. The allometric equations correlating the biomass fractions with the dbh and Ht as independent variables showed an adequate fit for the foliage (Wf, R2adj = 0.70), whereas the fits were weaker for the rest of the fractions (R2adj < 0.60). The individual trees were detected using colour orthophotography and the tree height was estimated from 140 crowns previously delineated using the 95th percentile ALS-metric. The precision of the adjusted models was verified by plotting the correlation between the LiDAR-predicted height (HL) and the field data (R2adj = 0.80; RMSE = 0.53 m). Following the selection of the independent variable data, a linear regression model was selected for dbh estimation (R2adj = 0.64), and a potential regression model was selected for the SOC (R2adj = 0.81). Using the segmentation process, a total of 8324 trees were outlined in the study area, with an average height of 3.81 m. The biomass C stock, comprising both above- and below-ground biomass, was 4.30 Mg C ha−1 (50.67 kg tree−1), and the SOC20-S was 37.45 Mg C ha−1. The carbon accumulation rate in the biomass was 1.94 kg C tree−1 yr−1 for the plantation period. The total C stock (W-S and SOC20-S) reached 41.75 Mg ha−1 and a total of 4,091.5 Mg C for the whole plantation. Gleaned from the synergy of tree cartography and these models, the distribution maps with foreseen values of average C stocks in the planted area illustrate a mosaic of C stock patterns in the carob tree plantation.es_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightshttps://creativecommons.org/licenses/by/4.0/es_ES
dc.sourceForests 13(2), 285 (2022)es_ES
dc.subjectForest plantationses_ES
dc.subjectAgricultural landes_ES
dc.subjectBiomasses_ES
dc.subjectSoil carbon sequestrationes_ES
dc.subjectAllometric equationses_ES
dc.subjectLiDARes_ES
dc.titleCarbon Sequestration in Carob (Ceratonia siliqua L.) Plantations under the EU Afforestation Program in Southern Spain Using Low-Density Aerial Laser Scanning (ALS) Dataes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://doi.org/10.3390/f13020285es_ES
dc.relation.projectIDGobierno de España. CGL2017-86161-Res_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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