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...
| Autores principales: | , , , , , , , , , , , , , , , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
ORNL-DAAC
2024
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/17694 https://daac.ornl.gov/CMS/guides/Country_SOC_Latin_America.html https://doi.org/10.3334/ORNLDAAC/1615 |
| _version_ | 1855486010492715008 |
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| author | Guevara, Mario Olmedo, Guillermo Federico Stell, Emma Yigini, Yusuf Hernández Arelano, Carlos Arevalo, Gloria Arroyo-Cruz, Carlos Eduardo Bolivar, Adriana Bunning, Sally Bustamante Canas, Nelson Cruz-Gaistardo, Carlos Omar Davila, Fabian Dell Acqua, Martín Encina, Arnulfa Fontes, Fernanda Hernández Herrera, José A. Pereira, Gonzalo Schulz, Guillermo Spence, Adrian Vazques, Gustavo |
| author_browse | Arevalo, Gloria Arroyo-Cruz, Carlos Eduardo Bolivar, Adriana Bunning, Sally Bustamante Canas, Nelson Cruz-Gaistardo, Carlos Omar Davila, Fabian Dell Acqua, Martín Encina, Arnulfa Fontes, Fernanda Guevara, Mario Hernández Arelano, Carlos Hernández Herrera, José A. Olmedo, Guillermo Federico Pereira, Gonzalo Schulz, Guillermo Spence, Adrian Stell, Emma Vazques, Gustavo Yigini, Yusuf |
| author_facet | Guevara, Mario Olmedo, Guillermo Federico Stell, Emma Yigini, Yusuf Hernández Arelano, Carlos Arevalo, Gloria Arroyo-Cruz, Carlos Eduardo Bolivar, Adriana Bunning, Sally Bustamante Canas, Nelson Cruz-Gaistardo, Carlos Omar Davila, Fabian Dell Acqua, Martín Encina, Arnulfa Fontes, Fernanda Hernández Herrera, José A. Pereira, Gonzalo Schulz, Guillermo Spence, Adrian Vazques, Gustavo |
| author_sort | Guevara, Mario |
| collection | INTA Digital |
| description | 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.
These SOC estimates provide a reproducible example, on country-specific and regional scales, for digital soil mapping across Latin America and contribute to reducing the uncertainty of SOC estimates and improving the parameterization of global models across Latin America.
This dataset includes six data files in GeoTIFF (.tif) format at 5 km resolution across Latin America, including: (1) a mosaic of country-specific soil organic carbon estimates, (2) model uncertainty derived for the country-specific estimates, (3) a mosaic of the regional soil organic carbon estimates, (4) model uncertainty derived for the regional estimates, and (5-6) two trend maps of approximate errors associated with the SOC stock calculation method. There is one data file in comma-separated format (.csv) of the point soil characterization data with calculated SOC stock estimates.
Four companion files include: a 133-band GeoTiff containing the environmental predictor variables for SOC across Latin America, a .csv file with descriptions of the environmental variables, a shapefile (.shp) of the point soil characterization data with SOC stock estimates and a *.kmz file to display the same. |
| format | Artículo |
| id | INTA17694 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | ORNL-DAAC |
| publisherStr | ORNL-DAAC |
| record_format | dspace |
| spelling | INTA176942024-05-10T14:45:51Z Soil Organic Carbon Stock Estimates with Uncertainty across Latin America Guevara, Mario Olmedo, Guillermo Federico Stell, Emma Yigini, Yusuf Hernández Arelano, Carlos Arevalo, Gloria Arroyo-Cruz, Carlos Eduardo Bolivar, Adriana Bunning, Sally Bustamante Canas, Nelson Cruz-Gaistardo, Carlos Omar Davila, Fabian Dell Acqua, Martín Encina, Arnulfa Fontes, Fernanda Hernández Herrera, José A. Pereira, Gonzalo Schulz, Guillermo Spence, Adrian Vazques, Gustavo Carbono Orgánico del Suelo América Latina Soil Organic Carbon Factores de Predicciones Error de Estimación Prediction Factors Estimation Error 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. These SOC estimates provide a reproducible example, on country-specific and regional scales, for digital soil mapping across Latin America and contribute to reducing the uncertainty of SOC estimates and improving the parameterization of global models across Latin America. This dataset includes six data files in GeoTIFF (.tif) format at 5 km resolution across Latin America, including: (1) a mosaic of country-specific soil organic carbon estimates, (2) model uncertainty derived for the country-specific estimates, (3) a mosaic of the regional soil organic carbon estimates, (4) model uncertainty derived for the regional estimates, and (5-6) two trend maps of approximate errors associated with the SOC stock calculation method. There is one data file in comma-separated format (.csv) of the point soil characterization data with calculated SOC stock estimates. Four companion files include: a 133-band GeoTiff containing the environmental predictor variables for SOC across Latin America, a .csv file with descriptions of the environmental variables, a shapefile (.shp) of the point soil characterization data with SOC stock estimates and a *.kmz file to display the same. Fil: Guevara, Mario. University of Delaware. Department of Plant and Soil Sciences; Estados Unidos Fil: Olmedo. Guillermo Federico. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; Argentina. FAO; Italia Fil: Stell, Emma. University of Delaware. Department of Plant and Soil Sciences; Estados Unidos Fil: Yigini, Yusuf. FAO; Italia Fil: Hernández Arellano, Carlos. Instituto Nacional de Estadística y Geografía; México Fil: Arevalo, Gloria. Zamorano University of Honduras; Honduras. Asociación Hondureña de la Ciencia del Suelo; Honduras Fil: Arroyo-Cruz, Carlos Eduardo. National Commission for the Knowledge and Use of Biodiversity; México Fil: Bolivar, Adriana. Instituto Geográfico Agustín Codazzi. Subdirección Agrología; Colombia Fil: Bunning, Sally. FAO. Oficina Regional de la FAO para América Latina y el Caribe; Chile Fil: Bustamante Cañas, Nelson. Servicio Agrícola y Ganadero; Chile Fil: Cruz-Gaistardo, Calos Omar. Instituto Nacional de Estadística y Geografía; México Fil: Dell Acqua, Martin. Dirección General de Recursos Naturales, Ministerio de Ganadería, Agricultura y Pesca; Uruguay Fil: Davila, Fabian. Ministerio de Ganadería, Agricultura y Pesca, Dirección General de Recursos Naturales; Uruguay Fil: Encina, Arnulfo. Universidad Nacional de Asunción. Facultad de Ciencias Agrarias; Paraguay Fil: Fontes, Fernando. Ministerio de Ganadería, Agricultura y Pesca, Dirección General de Recursos Naturales; Uruguay Fil: Hernández Herrera, José Antonio. Universidad Autónoma Agraria Antonio Narro Unidad Laguna; México Fil: Pereira, Gonzalo. Ministerio de Ganadería, Agricultura y Pesca. Dirección General de Recursos Naturales; Uruguay Fil: Schulz, Guillermo Andrés. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina Fil: Spence, Adrian. University of the West Indies. International Centre for Environmental and Nuclear Sciences; Jamaica Fil: Vasques, Gustavo M. Embrapa Solos; Brasil 2024-05-10T14:06:41Z 2024-05-10T14:06:41Z 2019-07-03 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/17694 https://daac.ornl.gov/CMS/guides/Country_SOC_Latin_America.html https://doi.org/10.3334/ORNLDAAC/1615 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf ORNL-DAAC ORNL-DAAC News : 1-6. (03 july 2019) |
| spellingShingle | Carbono Orgánico del Suelo América Latina Soil Organic Carbon Factores de Predicciones Error de Estimación Prediction Factors Estimation Error Guevara, Mario Olmedo, Guillermo Federico Stell, Emma Yigini, Yusuf Hernández Arelano, Carlos Arevalo, Gloria Arroyo-Cruz, Carlos Eduardo Bolivar, Adriana Bunning, Sally Bustamante Canas, Nelson Cruz-Gaistardo, Carlos Omar Davila, Fabian Dell Acqua, Martín Encina, Arnulfa Fontes, Fernanda Hernández Herrera, José A. Pereira, Gonzalo Schulz, Guillermo Spence, Adrian Vazques, Gustavo Soil Organic Carbon Stock Estimates with Uncertainty across Latin America |
| title | Soil Organic Carbon Stock Estimates with Uncertainty across Latin America |
| title_full | Soil Organic Carbon Stock Estimates with Uncertainty across Latin America |
| title_fullStr | Soil Organic Carbon Stock Estimates with Uncertainty across Latin America |
| title_full_unstemmed | Soil Organic Carbon Stock Estimates with Uncertainty across Latin America |
| title_short | Soil Organic Carbon Stock Estimates with Uncertainty across Latin America |
| title_sort | soil organic carbon stock estimates with uncertainty across latin america |
| topic | Carbono Orgánico del Suelo América Latina Soil Organic Carbon Factores de Predicciones Error de Estimación Prediction Factors Estimation Error |
| url | http://hdl.handle.net/20.500.12123/17694 https://daac.ornl.gov/CMS/guides/Country_SOC_Latin_America.html https://doi.org/10.3334/ORNLDAAC/1615 |
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