Soil Organic Carbon Estimates for 30-cm Depth, Mexico and Conterminous USA, 1991-2011. Guevara, M., Arroyo-cruz, C., Brunsell, N., Cruz-gaistardo, C., Domke, G., Equihua, J., Etchevers, J., Hayes, D., Hengl, T., Ibelles, A., Johnson, K., de Jong, B., Libohova, Z., Llamas, R., Nave, L., Ornelas, J., Paz, F., Ressl, R., Schwartz, A., Wills, S., & Vargas, R. 2020. Artwork Size: 7422.1233170000005 MB Medium: GTiff,CSV Publisher: ORNL Distributed Active Archive Center Version Number: 1
Soil Organic Carbon Estimates for 30-cm Depth, Mexico and Conterminous USA, 1991-2011 [link]Paper  doi  abstract   bibtex   
This dataset provides two sets of gridded estimates of estimated soil organic carbon (SOC) and associated uncertainties for 0-30 cm topsoil layer in kg SOC/m2 at 250-m resolution across Mexico and the conterminous USA (CONUS). The first set of gridded SOC estimates, for the period 1991-2010, were derived using multi-source SOC field data and multiple environmental variables representative of the soil forming environment coupled with a machine learning approach (i.e., simulated annealing) and regression tree ensemble modeling for optimized SOC prediction. Predictions of gridded SOC and uncertainty based on multiple bulk density (BD) pedotransfer functions (PFTs) are also included. The second set of gridded SOC estimates, for the period 2009-2011, were derived from two fully independent validation field datasets from across both countries. Note that the same environmental variables and modeling approach used for the first set of estimates were applied to the second set to assess the models' sensitivity to multiple SOC data sources. The SOC field data for the first set of estimates are provided in this dataset and the other data sources, including the two independent validation field datasets, are referenced.
@misc{guevara_soil_2020,
	title = {Soil {Organic} {Carbon} {Estimates} for 30-cm {Depth}, {Mexico} and {Conterminous} {USA}, 1991-2011},
	url = {https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1737},
	doi = {10.3334/ORNLDAAC/1737},
	abstract = {This dataset provides two sets of gridded estimates of estimated soil organic carbon (SOC) and associated uncertainties for 0-30 cm topsoil layer in kg SOC/m2 at 250-m resolution across Mexico and the conterminous USA (CONUS). The first set of gridded SOC estimates, for the period 1991-2010, were derived using multi-source SOC field data and multiple environmental variables representative of the soil forming environment coupled with a machine learning approach (i.e., simulated annealing) and regression tree ensemble modeling for optimized SOC prediction. Predictions of gridded SOC and uncertainty based on multiple bulk density (BD) pedotransfer functions (PFTs) are also included. The second set of gridded SOC estimates, for the period 2009-2011, were derived from two fully independent validation field datasets from across both countries. Note that the same environmental variables and modeling approach used for the first set of estimates were applied to the second set to assess the models' sensitivity to multiple SOC data sources. The SOC field data for the first set of estimates are provided in this dataset and the other data sources, including the two independent validation field datasets, are referenced.},
	language = {en},
	urldate = {2023-06-14},
	author = {Guevara, M. and Arroyo-cruz, C.E. and Brunsell, N. and Cruz-gaistardo, C.O. and Domke, G.M. and Equihua, J. and Etchevers, J. and Hayes, D.J. and Hengl, T. and Ibelles, A. and Johnson, K. and de Jong, B. and Libohova, Z. and Llamas, R. and Nave, L. and Ornelas, J.L. and Paz, F. and Ressl, R. and Schwartz, A. and Wills, S. and Vargas, R.},
	collaborator = {ORNL DAAC},
	year = {2020},
	note = {Artwork Size: 7422.1233170000005 MB
Medium: GTiff,CSV
Publisher: ORNL Distributed Active Archive Center
Version Number: 1},
	keywords = {NALCMS},
}
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