Improving the Latin America and Caribbean Soil Information System (SISLAC) database enhances its usability and scalability.
2022
DÍAZ-GUADARRAMA, S. | VARÓN-RAMÍREZ, V. M. | LIZARAZO, I. | GUEVARA, M. | ANGELINI, M. | ARAUJO-CARRILLO, G. A. | ARGEÑAL, J. | ARMAS, D. | BALTA, R. A. | BOLIVAR, A. | BUSTAMANTE, N. | DART, R. DE O. | DELL AQUA, M. | ENCINA, A. | FIGUEREDO, H. | FONTES, F. | GUTIÉRREZ-DIAZ, J. S. | JIMÉNEZ, W. | LAVADO, R. S. | BACA, J. F. M. | MENDONÇA-SANTOS, M. DE L. | MORETTI, L. M. | MUÑOZ, I. D. | OLIVERA, C. | OLMEDO, G. | OMUTO, C. | ORTIZ, S. | PASCALE, C. | PFEIFFER, M. | RAMOS, I. A. | RÍOS, D. | RIVERA, R. | RODRÍGUEZ, L. M. | RODRÍGUEZ, D. M. | ROSALES, A. | ROSALES, K. | SCHULZ, G. | SEVILLA, V. | TENTI, L. M. | VARGAS, R. | VASQUES, G. M. | YIGINI, Y. | RUBIANO, Y. | SERGIO DÍAZ-GUADARRAMA, UNIVERSIDAD NACIONAL DE COLOMBIA; VIVIANA M. VARÓN-RAMÍREZ, UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO/CORPORACIÓN COLOMBIANA DE INVESTIGACIÓN AGROPECUARIA AGROSAVIA; IVÁN LIZARAZO, UNIVERSIDAD NACIONAL DE COLOMBIA; MARIO GUEVARA, UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO/UNIVERSITY OF CALIFORNIA/UNITED STATES DEPARTMENT OF AGRICULTURE; MARCOS ANGELINI, FAO; GUSTAVO A. ARAUJO-CARRILLO, CORPORACIÓN COLOMBIANA DE INVESTIGACIÓN AGROPECUARIA AGROSAVIA; JAINER ARGEÑAL, UNIVERSIDAD NACIONAL AUTÓNOMA DE HONDURAS; DAPHNE ARMAS, UNIVERSIDAD DE ALMERÍA; RAFAEL A. BALTA, MINISTERIO DE DESARROLLO AGRARIO Y RIEGO; ADRIANA BOLIVAR, INSTITUTO GEOGRÁFICO AGUSTÍN CODAZZI; NELSON BUSTAMANTE, SERVICIO AGRÍCOLA Y GANADERO; RICARDO DE OLIVEIRA DART, CNPS; MARTIN DELL AQUA, MINISTERIO DE GANADERÍA, AGRICULTURA Y PESCA; ARNULFO ENCINA, UNIVERSIDAD NACIONAL DE ASUNCIÓN; HERNÁN FIGUEREDO, SOCIEDAD BOLIVIANA DE LA CIENCIA DEL SUELO; FERNANDO FONTES, MINISTERIO DE GANADERÍA, AGRICULTURA Y PESCA; JOAN S. GUTIÉRREZ-DIAZ, AARHUS UNIVERSITY; WILMER JIMÉNEZ, MINISTERIO DE AGRICULTURA Y GANADERÍA; RAÚL S. LAVADO, UNIVERSIDAD DE BUENOS AIRES; JESUS FERNANDO MANSILLA BACA, CNPS; MARIA DE LOURDES MENDONÇA SANTOS BREFIN, CNPS; LUCAS M. MORETTI, INSTITUTO NACIONAL DE TECNOLOGÍA AGROPECUARIA; IVÁN D. MUÑOZ, INSTITUTO GEOGRÁFICO AGUSTÍN CODAZZI; CAROLINA OLIVERA, FAO; GUILLERMO OLMEDO, FAO; CHRISTIAN OMUTO, FAO; SOL ORTIZ, SECRETARÍA DE AGRICULTURA Y DESARROLLO RURAL; CARLA PASCALE, MINISTERIO DE AGRICULTURA, GANADERÍA Y PESCA; MARCO PFEIFFER, UNIVERSIDAD DE CHILE; IVÁN A. RAMOS, INSTITUTO DE INVESTIGACIÓN AGROPECUARIA DE PANAMÁ; DANNY RÍOS, UNIVERSIDAD NACIONAL DE ASUNCIÓN; RAFAEL RIVERA, MINISTERIO DE MEDIO AMBIENTE; LADY M. RODRÍGUEZ, INSTITUTO GEOGRÁFICO AGUSTÍN CODAZZI; DARÍO M. RODRÍGUEZ, INSTITUTO NACIONAL DE TECNOLOGÍA AGROPECUARIA; ALBÁN ROSALES, INSTITUTO DE INNOVACIÓN EN TRANSFERENCIA Y TECNOLOGÍA AGROPECUARIA; KENSET ROSALES, MINISTERIO DE AMBIENTE Y RECURSOS NATURALES; GUILLERMO SCHULZ, INSTITUTO NACIONAL DE TECNOLOGÍA AGROPECUARIA; VICTOR SEVILLA, UNIVERSIDAD CENTRAL DE VENEZUELA; LEONARDO M. TENTI, INSTITUTO NACIONAL DE TECNOLOGÍA AGROPECUARIA; RONALD VARGAS, FAO; GUSTAVO DE MATTOS VASQUES, CNPS; YUSUF YIGINI, FAO; YOLANDA RUBIANO, UNIVERSIDAD NACIONAL DE COLOMBIA.
Spatial soil databases can help model complex phenomena in which soils are a decisive factor – for example, evaluating agricultural potential or estimating carbon storage capacity. The Latin America and Caribbean Soil Information System, SISLAC, is a regional initiative promoted by the Food and Agriculture Organization’s (FAO) Latin America and the Caribbean Soil Partnership to contribute to sustainable management of soil. SISLAC includes data from 49 084 soil profiles distributed unevenly across the continent, making it the region’s largest soil database. In addition, there are other soil databases in the region with about 40 000 soil profiles that can be integrated into SISLAC and improve it. However, some problems hinder its usages, such as the quality of the data and their high dimensionality. The objective of this research is evaluate the quality of the SISLAC data and the other available soil databases to generate a new improved version that meets the minimum quality requirements to be used for different purposes or practical applications. The results show that 15 % of the existing soil profiles had an inaccurate description of the diagnostic horizons and 17 % of the additional profiles already existed in SISLAC; therefore, a total of 32 % of profiles were excluded for these two reasons. Further correction of an additional 4.5 % of existing inconsistencies improved overall data quality. The improved database consists of 66 746 profiles and is available for public use at https://doi.org/10.5281/zenodo.7876731 (Díaz-Guadarrama and Guevara, 2023). This revised version of SISLAC data offers the opportunity to generate information that helps decision-making on issues in which soils are a decisive factor. It can also be used to plan future soil surveys in areas with low density or where updated information is required.
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