Soil Organic Carbon Stock Estimates with Uncertainty across Latin America

This dataset provides 5 x 5 km gridded estimates of soil organic carbon (SOC) across Latin America that were derived from existing point soil characterization data and compiled environmental prediction factors for SOC. This dataset is representative for the period between 1980 to 2000s corresponding with the highest density of observations available in the WoSIS system and the covariates used as prediction factors for soil organic carbon across Latin America. SOC stocks (kg/m2) were estimated for the SOC and bulk density point measurements and a spatially explicit measure of the SOC estimation error was also calculated. A modeling ensemble, using a linear combination of five statistical methods (regression Kriging, random forest, kernel weighted nearest neighbors, partial least squared regression and support vector machines) was applied to the SOC stock data at (1) country-specific and (2) regional scales to develop gridded SOC estimates (kg/m2) for all of Latin America. Uncertainty estimates are provided for the two model predictions based on independent model residuals and their full conditional response to the SOC prediction factors.

Data and Resources

Additional Info

Field Value
Maintainer undefined
Last Updated July 28, 2019, 15:02 (CDT)
Created July 28, 2019, 15:02 (CDT)
Identifier C1597890208-ORNL_DAAC
Issued 2019-03-07
Modified 2019-04-15
accessLevel public
citation Archived by National Aeronautics and Space Administration, U.S. Government, ORNL_DAAC. Guevara, M., G.F. Olmedo, E. Stell, Y. Yigini, C.A. Hernandez, G. Arevalo, C.E. Arroyo-cruz, A. Bolivar, S. Bunning, N.B. Canas, C.O. Cruz-gaistardo, F. Davila, M.D. Acqua, A. Encina, F. Fontes, J.A.H. Herrera, A.R.I. Navarro, V. Loayza, A.M. Manueles, F.M. Jara, C. Olivera, G. Pereira, P. Prieto, I.A. Ramos, J.C.R. Brina, R. Rivera, J. Rodriguez-Rodriguez, R. Roopnarine, A. Rosales, K.A.R. Rivero, G.A. Schulz, A. Spence, G.M. Vasques, R.R. Vargas, and R. Vargas. 2019. Soil Organic Carbon Stock Estimates with Uncertainty across Latin America. ORNL DAAC, Oak Ridge, Tennessee, USA.
graphic-preview-description Country-specific (a) and regional (b) predictions of SOC across Latin America based on a linear ensemble of methods. The units are presented in units of Mg per ha for visualization purposes. The data provided with the dataset are in units of kg per m2. Image is from Guevara et al. (2018).
metadata_type geospatial
publisher ORNL_DAAC
resource-type Dataset
source_datajson_identifier true
source_hash aeaa26a142f4d8c12ef65d4e700cc2bfc1cd6eff
source_schema_version 1.1
spatial -121.29 -58.58 -31.24 35.56
temporal 2018-06-14T00:00:00Z/2018-06-14T23:59:59Z