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Resumen
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
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dc.contributor.author | Guevara, Mario | |
dc.contributor.author | Olmedo, Guillermo Federico | |
dc.contributor.author | Stell, Emma | |
dc.contributor.author | Yigini, Yusuf | |
dc.contributor.author | Aguilar Duarte, Yameli | |
dc.contributor.author | Arellano Hernández, Carlos | |
dc.contributor.author | Arévalo, Gloria E. | |
dc.contributor.author | Arroyo-Cruz, Carlos Eduardo | |
dc.contributor.author | Bolivar, Adriana | |
dc.contributor.author | Bunning, Sally | |
dc.contributor.author | Bustamante Cañas, Nelson | |
dc.contributor.author | Cruz-Gaistardo, Carlos Omar | |
dc.contributor.author | Davila, Fabian | |
dc.contributor.author | Dell Acqua, Martín | |
dc.contributor.author | Encina, Arnulfo | |
dc.contributor.author | Figueredo Tacona, Hernán | |
dc.contributor.author | Fontes, Fernando | |
dc.contributor.author | Hernández Herrera, José Antonio | |
dc.contributor.author | Ibelles Navarro, Alejandro Roberto | |
dc.contributor.author | Loayza, Verónica | |
dc.contributor.author | Manueles, Alexandra | |
dc.contributor.author | Mendoza Jara, Fernando | |
dc.contributor.author | Olivera, Carolina | |
dc.contributor.author | Osorio Hermosilla, Rodrigo | |
dc.contributor.author | Pereira, Gonzalo | |
dc.contributor.author | Prieto, Pablo | |
dc.contributor.author | Ramos, Iván Alexis | |
dc.contributor.author | Rey Brina, Juan Carlos | |
dc.contributor.author | Rivera, Rafael | |
dc.contributor.author | Rodríguez-Rodríguez, Javier | |
dc.contributor.author | Roopnarine, Ronald | |
dc.contributor.author | Rosales Ibarra, Albán | |
dc.contributor.author | Rosales Riveiro, Kenset Amaury | |
dc.contributor.author | Schulz, Guillermo Andres | |
dc.contributor.author | Spence, Adrián | |
dc.contributor.author | Vargas, Ronald R. | |
dc.contributor.author | Vargas, Rodrigo | |
dc.contributor.author | Vasques, Gustavo M. | |
dc.date.accessioned | 2019-04-01T10:58:05Z | |
dc.date.available | 2019-04-01T10:58:05Z | |
dc.date.issued | 2018-08 | |
dc.identifier.other | https://doi.org/10.5194/soil-4-173-2018 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12123/4788 | |
dc.identifier.uri | https://www.soil-journal.net/4/173/2018/ | |
dc.description.abstract | 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. | eng |
dc.format | application/pdf | es_AR |
dc.language.iso | eng | es_AR |
dc.relation | info:eu-repograntAgreement/INTA/PNSUELO/1134032/AR./Bases conceptuales y nuevas herramientas para la cartografía de suelos. | es_AR |
dc.rights | info:eu-repo/semantics/openAccess | es_AR |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
dc.source | Soil 4 (3) : 173-193 (Agosto 2018) | es_AR |
dc.subject | Cartografía del Uso de la Tierra | es_AR |
dc.subject | Land Use Mapping | eng |
dc.subject | Carbono Orgánico del Suelo | es_AR |
dc.subject | Soil Organic Carbon | eng |
dc.subject | América Latina | es_AR |
dc.subject | Latin America | eng |
dc.subject | Suelo | |
dc.subject | Soil | eng |
dc.title | No silver bullet for digital soil mapping: country-specific soil organic carbon estimates across Latin America | es_AR |
dc.type | info:ar-repo/semantics/artículo | es_AR |
dc.type | info:eu-repo/semantics/article | es_AR |
dc.type | info:eu-repo/semantics/publishedVersion | es_AR |
dc.rights.license | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | |
dc.description.fil | Fil: Guevara, Mario. Universidad de Delaware. Department of Plant and Soil Sciences; Estados Unidos | es_AR |
dc.description.fil | Fil: Olmedo, Guillermo Federico. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Mendoza; Argentina. FAO; Italia | es_AR |
dc.description.fil | Fil: Stell; Emma. University of Delaware, Department of Plant and Soil Sciences; Estados Unidos | es_AR |
dc.description.fil | Fil: Yigini, Yusuf. FAO; Italia | es_AR |
dc.description.fil | Fil: Aguilar Duarte, Yameli. Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias; México | es_AR |
dc.description.fil | Fil: Arellano Hernández, Carlos. Instituto Nacional de Estadísitica y Geografía; México | es_AR |
dc.description.fil | Fil: Arévalo, Gloria E. Zamorano. University of Honduras and Asociación Hondureña de la Ciencia del Suelo; Honduras | es_AR |
dc.description.fil | Fil: Arroyo-Cruz, Carlos Eduardo. National Commission for the Knowledge and Use of Biodiversity; México | es_AR |
dc.description.fil | Fil: Bolivar, Adriana. Instituto Geográfico Agustín Codazzi. Subdirección Agrología; Colombia | es_AR |
dc.description.fil | Fil: Bunning, Sally. FAO. Oficina Regional para América Latina y el Caribe; Chile | es_AR |
dc.description.fil | Fil: Bustamante Cañas, Nelson. Servicio Agrícola y Ganadero; Chile | es_AR |
dc.description.fil | Fil: Cruz-Gaistardo, Carlos Omar. Instituto Nacional de Estadísitica y Geografía; México | es_AR |
dc.description.fil | Dell Acqua, Martín. Ministerio de Ganadería, Agricultura y Pesca. Dirección General de Recursos Naturales; Uruguay | es_AR |
dc.description.fil | Fil: Encina, Arnulfo. Universidad Nacional de Asunción. Facultad de Ciencias Agrarias; Paraguay | es_AR |
dc.description.fil | Fil: Figueredo Tacona, Hernán. Ministry of Rural Development and Land. Land Viceministry; Bolivia | es_AR |
dc.description.fil | Fil: Fontes, Fernando. Ministerio de Ganadería, Agricultura y Pesca. Dirección General de Recursos Naturales; Uruguay | es_AR |
dc.description.fil | Fil: Hernández Herrera, José Antonio. Universidad Autónoma Agraria Antonio Narro. Unidad Laguna; México | es_AR |
dc.description.fil | Fil: Ibelles Navarro, Alejandro Roberto. Instituto Nacional de Estadísitica y Geografía; México | es_AR |
dc.description.fil | Fil: Loayza, Verónica. Ministerio de Agricultura y Ganaderia; Ecuador | es_AR |
dc.description.fil | Fil: Manueles, Alexandra M.. Zamorano University of Honduras and Asociación Hondureña de la Ciencia del Suelo; Honduras | es_AR |
dc.description.fil | Fil: Mendoza Jara, Fernando . Universidad Nacional Agraria; Nicaragua | es_AR |
dc.description.fil | Fil: Olivera, Carolina. FAO. Oficina Regional para América Latina y el Caribe; Colombia | es_AR |
dc.description.fil | Fil: Osorio Hermosilla, Rodrigo. Servicio Agrícola y Ganadero; Chile | es_AR |
dc.description.fil | Fil: Pereira, Gonzalo. Ministerio de Ganadería, Agricultura y Pesca. Dirección General de Recursos Naturales; Uruguay | es_AR |
dc.description.fil | Fil: Prieto, Pablo. Ministerio de Ganadería, Agricultura y Pesca. Dirección General de Recursos Naturales; Uruguay | es_AR |
dc.description.fil | Fil: Ramos, Iván Alexis . Instituto de Investigación Agropecuaria de Panamá; Panamá | es_AR |
dc.description.fil | Fil: Rey Brina, Juan Carlos. Sociedad Venezolana de la Ciencia del Suelo; Venezuela | es_AR |
dc.description.fil | Fil: Rivera, Rafael. Ministerio de Medio Ambiente; República Dominicana | es_AR |
dc.description.fil | Fil: Rodríguez-Rodríguez, Javier. National Commission for the Knowledge and Use of Biodiversity; México | es_AR |
dc.description.fil | Fil: Roopnarine, Ronald. Department of Natural and Life Sciences. COSTAATT; Trinidad y Tobago | es_AR |
dc.description.fil | Fil: Rosales Ibarra, Albán. Instituto de Innovación en Transferencia y Tecnología Agropecuaria; Costa Rica | es_AR |
dc.description.fil | Fil: Rosales Riveiro, Kenset Amaury. Ministerio de Ambiente y Recursos Naturales de Guatemala; Guatemala | es_AR |
dc.description.fil | Fil: Schulz, Guillermo Andrés. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina | es_AR |
dc.description.fil | Fil: Spence, Adrián. University of the West Indies. International Centre for Environmental and Nuclear Sciences; Jamaica | es_AR |
dc.description.fil | Fil: Vasques, Gustavo M. EMBRAPA Solos; Brasil | es_AR |
dc.description.fil | Fil: Vargas, Ronald R. FAO; Italia | es_AR |
dc.description.fil | Fil: Vargas, Rodrigo. University of Delaware. Department of Plant and Soil Sciences; Estados Unidos | es_AR |
dc.subtype | cientifico |
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