No silver bullet for digital soil mapping: country-specific soil organic carbon estimates across Latin America
Country-specific soil organic carbon (SOC) estimates are the baseline for the Global SOC Map of the Global Soil Partnership (GSOCmap-GSP). This endeavor is key to explaining the uncertainty of global SOC estimates but requires harmonizing heterogeneous datasets and building country-specific capaciti...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | info:ar-repo/semantics/artículo |
| Lenguaje: | Inglés |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/4788 https://www.soil-journal.net/4/173/2018/ https://doi.org/10.5194/soil-4-173-2018 |
| _version_ | 1855035384370561024 |
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| author | Guevara, Mario Olmedo, Guillermo Federico Stell, Emma Yigini, Yusuf Aguilar Duarte, Yameli Arellano Hernández, Carlos Arévalo, Gloria E. Arroyo-Cruz, Carlos Eduardo Bolivar, Adriana Bunning, Sally Bustamante Cañas, Nelson Cruz-Gaistardo, Carlos Omar Davila, Fabian Dell Acqua, Martín Encina, Arnulfo Figueredo Tacona, Hernán Fontes, Fernando Hernández Herrera, José Antonio Ibelles Navarro, Alejandro Roberto Loayza, Verónica Manueles, Alexandra Mendoza Jara, Fernando Olivera, Carolina Osorio Hermosilla, Rodrigo Pereira, Gonzalo Prieto, Pablo Ramos, Iván Alexis Rey Brina, Juan Carlos Rivera, Rafael Rodríguez-Rodríguez, Javier Roopnarine, Ronald Rosales Ibarra, Albán Rosales Riveiro, Kenset Amaury Schulz, Guillermo Andres Spence, Adrián Vargas, Ronald R. Vargas, Rodrigo Vasques, Gustavo M. |
| author_browse | Aguilar Duarte, Yameli Arellano Hernández, Carlos Arroyo-Cruz, Carlos Eduardo Arévalo, Gloria E. Bolivar, Adriana Bunning, Sally Bustamante Cañas, Nelson Cruz-Gaistardo, Carlos Omar Davila, Fabian Dell Acqua, Martín Encina, Arnulfo Figueredo Tacona, Hernán Fontes, Fernando Guevara, Mario Hernández Herrera, José Antonio Ibelles Navarro, Alejandro Roberto Loayza, Verónica Manueles, Alexandra Mendoza Jara, Fernando Olivera, Carolina Olmedo, Guillermo Federico Osorio Hermosilla, Rodrigo Pereira, Gonzalo Prieto, Pablo Ramos, Iván Alexis Rey Brina, Juan Carlos Rivera, Rafael Rodríguez-Rodríguez, Javier Roopnarine, Ronald Rosales Ibarra, Albán Rosales Riveiro, Kenset Amaury Schulz, Guillermo Andres Spence, Adrián Stell, Emma Vargas, Rodrigo Vargas, Ronald R. Vasques, Gustavo M. Yigini, Yusuf |
| author_facet | Guevara, Mario Olmedo, Guillermo Federico Stell, Emma Yigini, Yusuf Aguilar Duarte, Yameli Arellano Hernández, Carlos Arévalo, Gloria E. Arroyo-Cruz, Carlos Eduardo Bolivar, Adriana Bunning, Sally Bustamante Cañas, Nelson Cruz-Gaistardo, Carlos Omar Davila, Fabian Dell Acqua, Martín Encina, Arnulfo Figueredo Tacona, Hernán Fontes, Fernando Hernández Herrera, José Antonio Ibelles Navarro, Alejandro Roberto Loayza, Verónica Manueles, Alexandra Mendoza Jara, Fernando Olivera, Carolina Osorio Hermosilla, Rodrigo Pereira, Gonzalo Prieto, Pablo Ramos, Iván Alexis Rey Brina, Juan Carlos Rivera, Rafael Rodríguez-Rodríguez, Javier Roopnarine, Ronald Rosales Ibarra, Albán Rosales Riveiro, Kenset Amaury Schulz, Guillermo Andres Spence, Adrián Vargas, Ronald R. Vargas, Rodrigo Vasques, Gustavo M. |
| author_sort | Guevara, Mario |
| collection | INTA Digital |
| description | Country-specific soil organic carbon (SOC) estimates are the baseline for the Global SOC Map of the Global Soil Partnership (GSOCmap-GSP). This endeavor is key to explaining the uncertainty of global SOC estimates but requires harmonizing heterogeneous datasets and building country-specific capacities for digital soil mapping (DSM).We identified country-specific predictors for SOC and tested the performance of five predictive algorithms for mapping SOC across Latin America. The algorithms included support vector machines (SVMs), random forest (RF), kernel-weighted nearest neighbors (KK), partial least squares regression (PL), and regression
kriging based on stepwise multiple linear models (RK). Country-specific training data and SOC predictors (5 5 km pixel resolution) were obtained from ISRIC – World Soil Information. Temperature, soil type, vegetation indices, and topographic constraints were the best predictors for SOC, but country-specific predictors and their respective weights varied across Latin America. We compared a large diversity of country-specific datasets and models, and were able to explain SOC variability in a range between 1 and 60 %, with no universal predictive algorithm among countries. A regional (nD11 268 SOC estimates) ensemble of these five algorithms
was able to explain 39% of SOC variability from repeated 5-fold cross-validation.We report a combined SOC stock of 77.8 43.6 Pg (uncertainty represented by the full conditional response of independent model residuals) across Latin America. SOC stocks were higher in tropical forests (30 16.5 Pg) and croplands (13 8.1 Pg). Country-specific and regional ensembles revealed spatial discrepancies across geopolitical borders, higher elevations, and coastal plains, but provided similar regional stocks (77.8 42.2 and 76.8 45.1 Pg, respectively). These results are conservative compared to global estimates (e.g., SoilGrids250m 185.8 Pg, the Harmonized World Soil Database 138.4 Pg, or the GSOCmap-GSP 99.7 Pg). Countries with large area (i.e., Brazil, Bolivia, Mexico, Peru) and large spatial SOC heterogeneity had lower SOC stocks per unit area and larger uncertainty in their predictions. We highlight that expert opinion is needed to set boundary prediction limits to avoid unrealistically high modeling estimates. For maximizing explained variance while minimizing prediction bias, the selection of predictive algorithms for SOC mapping should consider density of available data and variability of country-specific environmental gradients. This study highlights the large degree of spatial uncertainty in SOC
estimates across Latin America. We provide a framework for improving country-specific mapping efforts and reducing current discrepancy of global, regional, and country-specific SOC estimates. |
| format | info:ar-repo/semantics/artículo |
| id | INTA4788 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| record_format | dspace |
| spelling | INTA47882022-01-12T14:42:23Z No silver bullet for digital soil mapping: country-specific soil organic carbon estimates across Latin America Guevara, Mario Olmedo, Guillermo Federico Stell, Emma Yigini, Yusuf Aguilar Duarte, Yameli Arellano Hernández, Carlos Arévalo, Gloria E. Arroyo-Cruz, Carlos Eduardo Bolivar, Adriana Bunning, Sally Bustamante Cañas, Nelson Cruz-Gaistardo, Carlos Omar Davila, Fabian Dell Acqua, Martín Encina, Arnulfo Figueredo Tacona, Hernán Fontes, Fernando Hernández Herrera, José Antonio Ibelles Navarro, Alejandro Roberto Loayza, Verónica Manueles, Alexandra Mendoza Jara, Fernando Olivera, Carolina Osorio Hermosilla, Rodrigo Pereira, Gonzalo Prieto, Pablo Ramos, Iván Alexis Rey Brina, Juan Carlos Rivera, Rafael Rodríguez-Rodríguez, Javier Roopnarine, Ronald Rosales Ibarra, Albán Rosales Riveiro, Kenset Amaury Schulz, Guillermo Andres Spence, Adrián Vargas, Ronald R. Vargas, Rodrigo Vasques, Gustavo M. Cartografía del Uso de la Tierra Carbono Orgánico del Suelo América Latina Land Use Mapping Soil Organic Carbon Latin America Soil Suelo Country-specific soil organic carbon (SOC) estimates are the baseline for the Global SOC Map of the Global Soil Partnership (GSOCmap-GSP). This endeavor is key to explaining the uncertainty of global SOC estimates but requires harmonizing heterogeneous datasets and building country-specific capacities for digital soil mapping (DSM).We identified country-specific predictors for SOC and tested the performance of five predictive algorithms for mapping SOC across Latin America. The algorithms included support vector machines (SVMs), random forest (RF), kernel-weighted nearest neighbors (KK), partial least squares regression (PL), and regression kriging based on stepwise multiple linear models (RK). Country-specific training data and SOC predictors (5 5 km pixel resolution) were obtained from ISRIC – World Soil Information. Temperature, soil type, vegetation indices, and topographic constraints were the best predictors for SOC, but country-specific predictors and their respective weights varied across Latin America. We compared a large diversity of country-specific datasets and models, and were able to explain SOC variability in a range between 1 and 60 %, with no universal predictive algorithm among countries. A regional (nD11 268 SOC estimates) ensemble of these five algorithms was able to explain 39% of SOC variability from repeated 5-fold cross-validation.We report a combined SOC stock of 77.8 43.6 Pg (uncertainty represented by the full conditional response of independent model residuals) across Latin America. SOC stocks were higher in tropical forests (30 16.5 Pg) and croplands (13 8.1 Pg). Country-specific and regional ensembles revealed spatial discrepancies across geopolitical borders, higher elevations, and coastal plains, but provided similar regional stocks (77.8 42.2 and 76.8 45.1 Pg, respectively). These results are conservative compared to global estimates (e.g., SoilGrids250m 185.8 Pg, the Harmonized World Soil Database 138.4 Pg, or the GSOCmap-GSP 99.7 Pg). Countries with large area (i.e., Brazil, Bolivia, Mexico, Peru) and large spatial SOC heterogeneity had lower SOC stocks per unit area and larger uncertainty in their predictions. We highlight that expert opinion is needed to set boundary prediction limits to avoid unrealistically high modeling estimates. For maximizing explained variance while minimizing prediction bias, the selection of predictive algorithms for SOC mapping should consider density of available data and variability of country-specific environmental gradients. This study highlights the large degree of spatial uncertainty in SOC estimates across Latin America. We provide a framework for improving country-specific mapping efforts and reducing current discrepancy of global, regional, and country-specific SOC estimates. Fil: Guevara, Mario. Universidad de 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: Aguilar Duarte, Yameli. Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias; México Fil: Arellano Hernández, Carlos. Instituto Nacional de Estadísitica y Geografía; México Fil: Arévalo, Gloria E. Zamorano. University of Honduras and 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 para América Latina y el Caribe; Chile Fil: Bustamante Cañas, Nelson. Servicio Agrícola y Ganadero; Chile Fil: Cruz-Gaistardo, Carlos Omar. Instituto Nacional de Estadísitica y Geografía; México Dell Acqua, Martín. 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: Figueredo Tacona, Hernán. Ministry of Rural Development and Land. Land Viceministry; Bolivia 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: Ibelles Navarro, Alejandro Roberto. Instituto Nacional de Estadísitica y Geografía; México Fil: Loayza, Verónica. Ministerio de Agricultura y Ganaderia; Ecuador Fil: Manueles, Alexandra M.. Zamorano University of Honduras and Asociación Hondureña de la Ciencia del Suelo; Honduras Fil: Mendoza Jara, Fernando . Universidad Nacional Agraria; Nicaragua Fil: Olivera, Carolina. FAO. Oficina Regional para América Latina y el Caribe; Colombia Fil: Osorio Hermosilla, Rodrigo. Servicio Agrícola y Ganadero; Chile Fil: Pereira, Gonzalo. Ministerio de Ganadería, Agricultura y Pesca. Dirección General de Recursos Naturales; Uruguay Fil: Prieto, Pablo. Ministerio de Ganadería, Agricultura y Pesca. Dirección General de Recursos Naturales; Uruguay Fil: Ramos, Iván Alexis . Instituto de Investigación Agropecuaria de Panamá; Panamá Fil: Rey Brina, Juan Carlos. Sociedad Venezolana de la Ciencia del Suelo; Venezuela Fil: Rivera, Rafael. Ministerio de Medio Ambiente; República Dominicana Fil: Rodríguez-Rodríguez, Javier. National Commission for the Knowledge and Use of Biodiversity; México Fil: Roopnarine, Ronald. Department of Natural and Life Sciences. COSTAATT; Trinidad y Tobago Fil: Rosales Ibarra, Albán. Instituto de Innovación en Transferencia y Tecnología Agropecuaria; Costa Rica Fil: Rosales Riveiro, Kenset Amaury. Ministerio de Ambiente y Recursos Naturales de Guatemala; Guatemala Fil: Schulz, Guillermo Andrés. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina Fil: Spence, Adrián. University of the West Indies. International Centre for Environmental and Nuclear Sciences; Jamaica Fil: Vasques, Gustavo M. EMBRAPA Solos; Brasil Fil: Vargas, Ronald R. FAO; Italia Fil: Vargas, Rodrigo. University of Delaware. Department of Plant and Soil Sciences; Estados Unidos 2019-04-01T10:58:05Z 2019-04-01T10:58:05Z 2018-08 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/4788 https://www.soil-journal.net/4/173/2018/ https://doi.org/10.5194/soil-4-173-2018 eng info:eu-repograntAgreement/INTA/PNSUELO/1134032/AR./Bases conceptuales y nuevas herramientas para la cartografía de suelos. 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 Soil 4 (3) : 173-193 (Agosto 2018) |
| spellingShingle | Cartografía del Uso de la Tierra Carbono Orgánico del Suelo América Latina Land Use Mapping Soil Organic Carbon Latin America Soil Suelo Guevara, Mario Olmedo, Guillermo Federico Stell, Emma Yigini, Yusuf Aguilar Duarte, Yameli Arellano Hernández, Carlos Arévalo, Gloria E. Arroyo-Cruz, Carlos Eduardo Bolivar, Adriana Bunning, Sally Bustamante Cañas, Nelson Cruz-Gaistardo, Carlos Omar Davila, Fabian Dell Acqua, Martín Encina, Arnulfo Figueredo Tacona, Hernán Fontes, Fernando Hernández Herrera, José Antonio Ibelles Navarro, Alejandro Roberto Loayza, Verónica Manueles, Alexandra Mendoza Jara, Fernando Olivera, Carolina Osorio Hermosilla, Rodrigo Pereira, Gonzalo Prieto, Pablo Ramos, Iván Alexis Rey Brina, Juan Carlos Rivera, Rafael Rodríguez-Rodríguez, Javier Roopnarine, Ronald Rosales Ibarra, Albán Rosales Riveiro, Kenset Amaury Schulz, Guillermo Andres Spence, Adrián Vargas, Ronald R. Vargas, Rodrigo Vasques, Gustavo M. No silver bullet for digital soil mapping: country-specific soil organic carbon estimates across Latin America |
| title | No silver bullet for digital soil mapping: country-specific soil organic carbon estimates across Latin America |
| title_full | No silver bullet for digital soil mapping: country-specific soil organic carbon estimates across Latin America |
| title_fullStr | No silver bullet for digital soil mapping: country-specific soil organic carbon estimates across Latin America |
| title_full_unstemmed | No silver bullet for digital soil mapping: country-specific soil organic carbon estimates across Latin America |
| title_short | No silver bullet for digital soil mapping: country-specific soil organic carbon estimates across Latin America |
| title_sort | no silver bullet for digital soil mapping country specific soil organic carbon estimates across latin america |
| topic | Cartografía del Uso de la Tierra Carbono Orgánico del Suelo América Latina Land Use Mapping Soil Organic Carbon Latin America Soil Suelo |
| url | http://hdl.handle.net/20.500.12123/4788 https://www.soil-journal.net/4/173/2018/ https://doi.org/10.5194/soil-4-173-2018 |
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