{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T22:43:41Z","timestamp":1762641821834,"version":"build-2065373602"},"reference-count":58,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2015,12,23]],"date-time":"2015-12-23T00:00:00Z","timestamp":1450828800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Mapping aboveground carbon density in tropical forests can support CO2 emission monitoring and provide benefits for national resource management. Although LiDAR technology has been shown to be useful for assessing carbon density patterns, the accuracy and generality of calibrations of LiDAR-based aboveground carbon density (ACD) predictions with those obtained from field inventory techniques should be intensified in order to advance tropical forest carbon mapping. Here we present results from the application of a general ACD estimation model applied with small-footprint LiDAR data and field-based estimates of a 50-ha forest plot in Ecuador\u2019s Yasun\u00ed National Park. Subplots used for calibration and validation of the general LiDAR equation were selected based on analysis of topographic position and spatial distribution of aboveground carbon stocks. The results showed that stratification of plot locations based on topography can improve the calibration and application of ACD estimation using airborne LiDAR (R2 = 0.94, RMSE = 5.81 Mg\u00b7C\u00b7ha\u22121, BIAS = 0.59). These results strongly suggest that a general LiDAR-based approach can be used for mapping aboveground carbon stocks in western lowland Amazonian forests.<\/jats:p>","DOI":"10.3390\/rs8010009","type":"journal-article","created":{"date-parts":[[2015,12,23]],"date-time":"2015-12-23T07:10:20Z","timestamp":1450854620000},"page":"9","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Spatially-Explicit Testing of a General Aboveground Carbon Density Estimation Model in a Western Amazonian Forest Using Airborne LiDAR"],"prefix":"10.3390","volume":"8","author":[{"given":"Patricio","family":"Molina","sequence":"first","affiliation":[{"name":"Gesti\u00f3n de Investigaci\u00f3n y Desarrollo, Instituto Geogr\u00e1fico Militar, Seniergues E4-676 y Gral, Telmo Paz y Mi\u00f1o, El Dorado 170403, Quito, Ecuador"},{"name":"Technical University of Madrid (UPM), C\/Ramiro de Maeztu, 7, Madrid 28040, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7893-6421","authenticated-orcid":false,"given":"Gregory","family":"Asner","sequence":"additional","affiliation":[{"name":"Department of Global Ecology, Carnegie Institution for Science, 260 Panama Street, Stanford, CA 94305, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0307-5521","authenticated-orcid":false,"given":"Mercedes","family":"Farjas Abad\u00eda","sequence":"additional","affiliation":[{"name":"Technical University of Madrid (UPM), C\/Ramiro de Maeztu, 7, Madrid 28040, Spain"}]},{"given":"Juan","family":"Ojeda Manrique","sequence":"additional","affiliation":[{"name":"Technical University of Madrid (UPM), C\/Ramiro de Maeztu, 7, Madrid 28040, Spain"}]},{"given":"Luis","family":"S\u00e1nchez Diez","sequence":"additional","affiliation":[{"name":"Technical University of Madrid (UPM), C\/Ramiro de Maeztu, 7, Madrid 28040, Spain"}]},{"given":"Renato","family":"Valencia","sequence":"additional","affiliation":[{"name":"Laboratorio de Ecolog\u00eda de Plantas, Escuela de Ciencias Biol\u00f3gicas, Pontificia Universidad Cat\u00f3lica del Ecuador, Apartado 17-01-2184, Quito, Ecuador"}]}],"member":"1968","published-online":{"date-parts":[[2015,12,23]]},"reference":[{"key":"ref_1","unstructured":"Angelsen, A. (2008). Moving Ahead with REDD Issues, Options and Implications, Center for International Forestry Research (CIFOR)."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1007\/s00442-005-0100-x","article-title":"Tree allometry and improved estimation of carbon stocks and balance in tropical forests","volume":"145","author":"Chave","year":"2005","journal-title":"Oecologia"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"935","DOI":"10.1111\/geb.12168","article-title":"Markedly divergent estimates of Amazon forest carbon density from ground plots and satellites","volume":"23","author":"Mitchard","year":"2014","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1107","DOI":"10.1111\/j.1365-2486.2006.01120.x","article-title":"The regional variation of aboveground live biomass in old-growth Amazonian forests","volume":"12","author":"Malhi","year":"2006","journal-title":"Glob. Chang. Biol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"16738","DOI":"10.1073\/pnas.1004875107","article-title":"High-resolution forest carbon stocks and emissions in the Amazon","volume":"107","author":"Asner","year":"2010","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"816","DOI":"10.1111\/j.1365-2486.2007.01323.x","article-title":"Distribution of aboveground live biomass in the Amazon basin","volume":"13","author":"Saatchi","year":"2007","journal-title":"Glob. Chang. Biol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"9899","DOI":"10.1073\/pnas.1019576108","article-title":"Benchmark map of forest carbon stocks in tropical regions across three continents","volume":"108","author":"Saatchi","year":"2011","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1046\/j.1466-822x.2002.00303.x","article-title":"LiDAR remote sensing of above-ground biomass in three biomes","volume":"2","author":"Lefsky","year":"2002","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"591","DOI":"10.4155\/cmt.13.66","article-title":"Improving pantropical forest carbon maps with airborne LiDAR sampling","volume":"4","author":"Baccini","year":"2013","journal-title":"Carbon Manag."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1339","DOI":"10.1080\/01431160701736489","article-title":"Review of methods of small footprint airborne laser scanning for extracting forest inventory data in boreal forests","volume":"29","author":"Leckie","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1186\/2047-2382-1-6","article-title":"Comparison of methods for measuring and assessing carbon stocks and carbon stock changes in terrestrial carbon pools. How do the accuracy and precision of current methods compare? A systematic review protocol","volume":"1","author":"Petrokofsky","year":"2012","journal-title":"Environ. Evid."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1371\/journal.pone.0085993","article-title":"A tale of two \u201cForests\u201d: Random Forest machine learning aids tropical Forest carbon mapping","volume":"9","author":"Mascaro","year":"2014","journal-title":"PLoS ONE"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1186\/1750-0680-8-7","article-title":"High-fidelity national carbon mapping for resource management and REDD+","volume":"8","author":"Asner","year":"2013","journal-title":"Carbon Balance Manag."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"2683","DOI":"10.5194\/bg-9-2683-2012","article-title":"High-resolution mapping of forest carbon stocks in the Colombian Amazon","volume":"9","author":"Asner","year":"2012","journal-title":"Biogeosciences"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pone.0126748","article-title":"Landscape-Scale controls on aboveground forest carbon Stocks on the Osa Peninsula, Costa Rica","volume":"10","author":"Taylor","year":"2015","journal-title":"PLoS ONE"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1147","DOI":"10.1007\/s00442-011-2165-z","article-title":"A universal airborne LiDAR approach for tropical forest carbon mapping","volume":"168","author":"Asner","year":"2012","journal-title":"Oecologia"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"614","DOI":"10.1016\/j.rse.2013.09.023","article-title":"Mapping tropical forest carbon: Calibrating plot estimates to a simple LiDAR metric","volume":"140","author":"Asner","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Martin, A.R., and Thomas, S.C. (2011). A reassessment of carbon content in tropical trees. PLoS ONE, 6.","DOI":"10.1371\/journal.pone.0023533"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"6827","DOI":"10.5194\/bg-11-6827-2014","article-title":"Local spatial structure of forest biomass and its consequences for remote sensing of carbon stocks","volume":"11","author":"Detto","year":"2014","journal-title":"Biogeosciences"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"3770","DOI":"10.1016\/j.rse.2011.07.019","article-title":"Evaluating uncertainty in mapping forest carbon with airborne LiDAR","volume":"115","author":"Mascaro","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"4741","DOI":"10.3390\/rs6064741","article-title":"Improving species diversity and biomass estimates of tropical dry forests using airborne LiDAR","volume":"6","author":"Dupuy","year":"2014","journal-title":"Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"636","DOI":"10.1016\/j.rse.2010.10.008","article-title":"Simulated impact of sample plot size and co-registration error on the accuracy and uncertainty of LiDAR-derived estimates of forest stand biomass","volume":"115","author":"Frazer","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1414","DOI":"10.1126\/science.288.5470.1414","article-title":"Spatial patterns in the distribution of tropical tree species","volume":"288","author":"Condit","year":"2000","journal-title":"Science"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"936","DOI":"10.3390\/f5050936","article-title":"Analysis of the influence of plot size and LiDAR density on forest structure attribute estimates","volume":"5","author":"Ruiz","year":"2014","journal-title":"Forests"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/j.rse.2012.10.017","article-title":"A meta-analysis of terrestrial aboveground biomass estimation using LiDAR remote sensing","volume":"128","author":"Zolkos","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"5421","DOI":"10.5194\/bg-10-5421-2013","article-title":"Detecting tropical forest biomass dynamics from repeated airborne LiDAR measurements","volume":"10","author":"Meyer","year":"2013","journal-title":"Biogeosciences"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"E5224","DOI":"10.1073\/pnas.1412999111","article-title":"Amazonian landscapes and the bias in field studies of forest structure and biomass","volume":"111","author":"Marvin","year":"2014","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1098\/rstb.2003.1425","article-title":"Error propagation and scaling for tropical forest biomass estimates","volume":"359","author":"Chave","year":"2004","journal-title":"Philos. Trans. R. Soc. B Biol. Sci."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.foreco.2013.10.029","article-title":"Site-specific versus pantropical allometric equations: Which option to estimate the biomass of a moist central African forest?","volume":"312","author":"Ngomanda","year":"2014","journal-title":"For. Ecol. Manag."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Chave, J., R\u00e9jou-M\u00e9chain, M., B\u00farquez, A., Chidumayo, E., Colgan, M.S., Delitti, W.B.C., Duque, A., Eid, T., Fearnside, P.M., and Goodman, R.C. (2014). Improved allometric models to estimate the aboveground biomass of tropical trees. Glob. Chang. Biol., 1\u201314.","DOI":"10.1111\/gcb.12629"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"3381","DOI":"10.5194\/bg-9-3381-2012","article-title":"Tree height integrated into pan-tropical forest biomass estimates","volume":"9","author":"Feldpausch","year":"2012","journal-title":"Biogeosciences"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Picard, N., Boyemba Bosela, F., and Rossi, V. (2014). Reducing the error in biomass estimates strongly depends on model selection. Ann. For. Sci., 1\u201313.","DOI":"10.1007\/s13595-014-0434-9"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Bass, M.S., Finer, M., Jenkins, C.N., Kreft, H., Cisneros-Heredia, D.F., McCracken, S.F., Pitman, N.C.A., English, P.H., Swing, K., and Villa, G. (2010). Global conservation significance of Ecuador\u2019s Yasun\u00ed National Park. PLoS ONE, 5.","DOI":"10.1371\/journal.pone.0008767"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1111\/j.0022-0477.2004.00876.x","article-title":"Tree species distributions and local habitat variation in the Amazon: Large forest plot in eastern Ecuador","volume":"92","author":"Valencia","year":"2004","journal-title":"J. Ecol."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"528","DOI":"10.1111\/gcb.12712","article-title":"CTFS-ForestGEO: A worldwide network monitoring forests in an era of global change","volume":"21","author":"Davies","year":"2015","journal-title":"Glob. Chang. Biol."},{"key":"ref_36","unstructured":"Losos, E.C., and Leigh, E.G. (2004). Tropical Forest Diversity and Dynamism: Findings from a Large-Scale Plot Network, University of Chicago Press."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Condit, R. (1998). Tropical Forest Census Plots, Springer-Verlag.","DOI":"10.1007\/978-3-662-03664-8"},{"key":"ref_38","unstructured":"Duivenvoorden, J.F., Balslev, H., Cavelier, J., Grandez, C., Tuomisto, H., and Valencia, R. (2001). Evaluaci\u00f3n de Recursos Vegetales no Maderables en la Amazonia Noroccidental, Universiteit van Amsterdam."},{"key":"ref_39","unstructured":"Romero-Saltos, H., Hern\u00e1ndez, C., and Valencia, R. (2014). Arboles Emblem\u00e1ticos de Yasun\u00ed, Ecuador, Publicaciones del Herbario QCA, Escuela de Ciencias Biol\u00f3gicas, Pontificia Universidad Cat\u00f3lica del Ecuador."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1047","DOI":"10.5424\/sjar\/2010084-1242","article-title":"Accuracy and precision of GPS receivers under forest canopies in a mountainous environment","volume":"8","author":"Valbuena","year":"2010","journal-title":"Spanish J. Agric. Res."},{"key":"ref_41","unstructured":"Sistema de Referencia Geoc\u00e9ntrico para las Am\u00e9ricas. Available online: http:\/\/www.sirgas.org\/index.php."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Leitold, V., Keller, M., Morton, D.C., Cook, B.D., and Shimabukuro, Y.E. (2015). Airborne LiDAR-based estimates of tropical forest structure in complex terrain: Opportunities and trade-offs for REDD+. Carbon Balance Manag., 10.","DOI":"10.1186\/s13021-015-0013-x"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"8453","DOI":"10.3390\/rs70708453","article-title":"Effects of pulse density on digital terrain models and canopy metrics using airborne laser scanning in a tropical rainforest","volume":"7","author":"Hansen","year":"2015","journal-title":"Remote Sens."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"8917","DOI":"10.1080\/01431161.2013.858846","article-title":"Canopy height model characteristics derived from airborne laser scanning and its effectiveness in discriminating various tropical moist forest types","volume":"34","author":"Kennel","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"833","DOI":"10.3390\/rs2030833","article-title":"Ground filtering algorithms for airborne LiDAR data: A review of critical issues","volume":"2","author":"Meng","year":"2010","journal-title":"Remote Sens."},{"key":"ref_46","unstructured":"Rapidlasso GmbH LAStools Rapid LiDAR Processing. Available online: http:\/\/rapidlasso.com\/."},{"key":"ref_47","first-page":"82","article-title":"Algorithms and methods of airborne laser-scanning for forest measurements","volume":"36","author":"Litkey","year":"2004","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_48","unstructured":"Evans, J., Oakleaf, J., Cushman, S., and Theobald, D. An ArcGIS Toolbox for surface Gradient and Geomorphometric Modelling, version 2.0-0. Available online: http:\/\/evansmurphy.wix.com\/evansspatial."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"443","DOI":"10.2136\/sssaj1993.03615995005700020026x","article-title":"Soil attribute prediction using terrain analysis","volume":"57","author":"Moore","year":"1993","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"439","DOI":"10.14358\/PERS.80.5.439","article-title":"Wetland mapping in the Upper Midwest United States","volume":"80","author":"Rampi","year":"2014","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1017\/S0266467409990095","article-title":"Dissecting biomass dynamics in a large Amazonian forest plot","volume":"25","author":"Valencia","year":"2009","journal-title":"J. Trop. Ecol."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v014.i09","article-title":"The R commander: A basic-statistics graphical user interface to R","volume":"14","author":"Fox","year":"2005","journal-title":"J. Stat. Softw."},{"key":"ref_53","unstructured":"Pe\u00f1a S\u00e1nchez de Rivera, D. (2002). Regresi\u00f3n y Dise\u00f1o de Experimentos, Alianza Editorial."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Baskerville, G.L. (1972). Use of logarithmic regression in the estimation of plant biomass. Can. J. For. Res., 49\u201353.","DOI":"10.1139\/x72-009"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Coomes, D., Burslem, D., and Simonsen, W. (2014). Forests and Global Change, Cambridge University Press.","DOI":"10.1017\/CBO9781107323506"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1016\/j.rse.2004.10.013","article-title":"Estimating forest canopy fuel parameters using LiDAR data","volume":"94","author":"Andersen","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1080\/02693799508902047","article-title":"Soil-landscape modelling and spatial prediction of soil attributes","volume":"9","author":"Gessler","year":"1995","journal-title":"Int. J. Geogr. Inf. Syst."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"1441","DOI":"10.1111\/j.1365-2745.2011.01878.x","article-title":"Tropical tree species assemblages in topographical habitats change in time and with life stage","volume":"99","author":"Kanagaraj","year":"2011","journal-title":"J. Ecol."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/1\/9\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T20:54:41Z","timestamp":1760216081000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/1\/9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,12,23]]},"references-count":58,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2016,1]]}},"alternative-id":["rs8010009"],"URL":"https:\/\/doi.org\/10.3390\/rs8010009","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2015,12,23]]}}}