Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1094880
Research center of Embrapa/Collection: Embrapa Solos - Artigo em periódico indexado (ALICE)
Date Issued: 2018
Type of Material: Artigo em periódico indexado (ALICE)
Authors: GUEVARA, M.
OLMEDO, G. F.
STELL, E.
YIGINI, Y.
AGUILAR DUARTE, Y.
ARELLANO HERNÁNDEZ, C.
ARÉVALO, G. E.
ARROYO-CRUZ, C. E.
BOLIVAR, A.
BUNNING, S.
BUSTAMANTE CAÑAS, N.
CRUZ-GAISTARDO, C. O.
REY BRINA, J. C.
RAMOS, I. A.
PIETRO, P.
PEREIRA, G.
OSORIO HERMOSILLA, R.
OLIVERA, C.
MENDOZA JARA, F.
MANUELES, A. M.
LOAYZA, V.
IBELLES NAVARRO, A. R.
HERNÁNDEZ HERRERA, J. A.
FONTES, F.
DELL ACQUA, M.
FIGUEREDO TACONA, H.
VARGAS, R.
VARGAS, R. R.
VASQUES, G. de M.
SPENCE, A.
SCHULZ, G. A.
ROSALES RIVEIRO, K. A.
ROSALES IBARRA, A.
ROOPNARINE, R.
RODRÍGUEZ-RODRÍGUEZ, J.
RIVERA, R.
ENCINA, A.
DAVILLA, F.
Additional Information: MARIO GUEVARA, University of Delaware
ARNULFO ENCINA, Facultad de Ciencias Agrarias de la Universidad Nacional de Asunción, Asunción, Paraguay
GUILLERMO ANDRÉS SCHULZ, INTA CNIA, Buenos Aires, Argentina
FABIAN DAVILLA, Ministerio de Ganaderia, Agricultura y Pesca, Montevideo, Uruguay
MARTIN DELL ACQUA, Ministerio de Ganaderia, Agricultura y Pesca, Montevideo, Uruguay
HERNÁN FIGUEREDO TACONA, Land Viceministry, Ministry of Rural Development and Land, La Paz, Bolivia
FERNANDO FONTES, Ministerio de Ganaderia, Agricultura y Pesca, Montevideo, Uruguay
JOSÉ ANTONIO HERNÁNDEZ HERRERA, Universidad Autónoma Agraria Antonio Narro Unidad Laguna, Torreón, Mexico
ALEJANDRO ROBERTO IBELLES NAVARRO, Instituto Nacional de Estadísitica y Geografía, Aguascalientes, Mexico
VERONICA LOAYZA, Ministerio de Agricultura y Ganaderia, Quito, Ecuador
ALEXANDRA M. MANUELES, Zamorano University of Honduras and Asociación Hondureña de la Ciencia del Suelo, Tegucigalpa, Honduras
FERNANDO MENDOZA JARA, Universidad Nacional Agraria, Managua, Nicaragua
CAROLINA OLIVERA, Oficina Regional de la FAO para América Latina y el Caribe, Bogotá, Colombia
RODRIGO OSORIO HERMOSILLA, Servicio Agrícola y Ganadero, Santiago de Chile, Chile
GONZALO PEREIRA, Ministerio de Ganaderia, Agricultura y Pesca, Montevideo, Uruguay
PABLO PIETRO, Ministerio de Ganaderia, Agricultura y Pesca, Montevideo, Uruguay
IVÁN ALEXIS RAMOS, Instituto de Investigación Agropecuaria de Panamá, Panamá
JUAN CARLOS REY BRINA, Sociedad Venezolana de la Ciencia del Suelo, Caracas, Venezuela
RAFAEL RIVERA, Ministerio de Medio Ambiente, Santo Domingo, Dominican Republic
JAVIER RODRÍGUEZ-RODRÍGUEZ, National Commission for the Knowledge and Use of Biodiversity, Mexico City, Mexico
RONALD ROOPNARINE, Department of Natural and Life Sciences, COSTAATT, Port of Spain, Trinidad an Tobago/University of the West Indies, St. Augustine Campus, Trinidad and Tobago
ALBÁN ROSALES IBARRA, Instituto de Innovación en Transferencia y Tecnología Agropecuaria, San José, Costa Rica
KENSET AMAURY ROSALES RIVEIRO, Ministerio de Ambiente y Recursos Naturales de Guatemala, Ciudad Guatemala, Guatemala
ADRIAN SPENCE, International Centre for Environmental and Nuclear Sciences, University of the West Indies, Kingston, Jamaica
RONALD R. VARGAS, FAO, Vialle de Terme di Caracalla, Rome, Italy
RODRIGO VARGAS, University of Delaware, Department of Plant and Soil Sciences, Newark, DE, USA.
GUSTAVO DE MATTOS VASQUES, CNPS
GUILLERMO FEDERICO OLMEDO, INTA EEA Mendoza/FAO
EMMA STELL, University of Delaware
YUSUF YIGINI, FAO
YAMELI AGUILAR DUARTE, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Mérida, Mexico
CARLOS ARELLANO HERNÁNDEZ, Instituto Nacional de Estadísitica y Geografía, Aguascalientes, Mexico
GLORIA E. ARÉVALO, Zamorano University of Honduras and Asociación Hondureña de la Ciencia del Suelo, Tegucigalpa, Honduras
CARLOS EDUARDO ARROYO-CRUZ, National Commission for the Knowledge and Use of Biodiversity, Mexico City, Mexico
ADRIANA BOLIVAR, Subdirección Agrología, Instituto Geográfico Agustín Codazzi, Bogotá, Colombia
SALLY BUNNING, Oficina Regional de la FAO para América Latina y el Caribe, Santiago de Chile, Chile
NELSON BUSTAMANTE CAÑAS, Servicio Agrícola y Ganadero, Santiago de Chile, Chile
CARLOS OMAR CRUZ-GAISTARDO, Instituto Nacional de Estadísitica y Geografía, Aguascalientes, Mexico
Title: No silver bullet for digital soil mapping: country-specific soil organic carbon estimates across Latin America.
Publisher: Soil, v. 4, n. 1, p. 173-193, 2018.
Language: en
Keywords: Mapeamento digital do solo
Carbono orgânico do solo
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 x 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 (n = 11 268 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.
Thesagro: Carbono
NAL Thesaurus: Soil organic carbon
Soil map
Data Created: 2018-08-31
Appears in Collections:Artigo em periódico indexado (CNPS)

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