Improving the Latin America and Caribbean Soil Information System (SISLAC) database enhances its usability and scalability
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 Ag...
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Copernicus Publications
2024
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| Online Access: | https://essd.copernicus.org/articles/16/1229/2024/essd-16-1229-2024.htm http://hdl.handle.net/20.500.12324/39732 https://doi.org/10.5281/zenodo.7876731 |
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Corporación Colombiana de Investigación Agropecuaria |
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Repositorio AGROSAVIA |
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Inglés |
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Investigación agropecuaria - A50 Análisis del suelo Bases de datos Investigación Transversal http://aims.fao.org/aos/agrovoc/c_7198 http://aims.fao.org/aos/agrovoc/c_24833 http://aims.fao.org/aos/agrovoc/c_6513 |
| spellingShingle |
Investigación agropecuaria - A50 Análisis del suelo Bases de datos Investigación Transversal http://aims.fao.org/aos/agrovoc/c_7198 http://aims.fao.org/aos/agrovoc/c_24833 http://aims.fao.org/aos/agrovoc/c_6513 Díaz Guadarrama, Sergio Varón Ramírez, Viviana M. Lizarazo, Iván Guevara, Mario Angelini, Marcos Araujo Carrillo, Gustavo A. Argeñal, Jainer Armas, Daphne Balta, Rafael A. Bolivar, Adriana Bustamante, Nelson Dart, Ricardo O. Dell Acqua, Martin Encina, Arnulfo Figueredo, Hernán Fontes, Fernando Gutiérrez Díaz, Joan S. Jiménez, Wilmer Lavado, Raúl S. Mansilla Baca, Jesús F. Mendonça Santos, Maria de Lourdes Moretti, Lucas M. Muñoz, Iván D. Olivera, Carolina Olmedo, Guillermo Omuto, Christian Ortiz, Sol Pascale, Carla Pfeiffer, Marco Ramos, Iván A. Ríos, Danny Rivera, Rafael Rodriguez, Lady M. Rodríguez, Darío M. Rosales, Albán Rosales, Kenset Schulz, Guillermo Sevilla, Víctor Tenti, Leonardo M. Vargas, Ronald Vasques, Gustavo M. Yigini, Yusuf Rubiano, Yolanda Improving the Latin America and Caribbean Soil Information System (SISLAC) database enhances its usability and scalability |
| description |
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. |
| format |
article |
| author |
Díaz Guadarrama, Sergio Varón Ramírez, Viviana M. Lizarazo, Iván Guevara, Mario Angelini, Marcos Araujo Carrillo, Gustavo A. Argeñal, Jainer Armas, Daphne Balta, Rafael A. Bolivar, Adriana Bustamante, Nelson Dart, Ricardo O. Dell Acqua, Martin Encina, Arnulfo Figueredo, Hernán Fontes, Fernando Gutiérrez Díaz, Joan S. Jiménez, Wilmer Lavado, Raúl S. Mansilla Baca, Jesús F. Mendonça Santos, Maria de Lourdes Moretti, Lucas M. Muñoz, Iván D. Olivera, Carolina Olmedo, Guillermo Omuto, Christian Ortiz, Sol Pascale, Carla Pfeiffer, Marco Ramos, Iván A. Ríos, Danny Rivera, Rafael Rodriguez, Lady M. Rodríguez, Darío M. Rosales, Albán Rosales, Kenset Schulz, Guillermo Sevilla, Víctor Tenti, Leonardo M. Vargas, Ronald Vasques, Gustavo M. Yigini, Yusuf Rubiano, Yolanda |
| author_facet |
Díaz Guadarrama, Sergio Varón Ramírez, Viviana M. Lizarazo, Iván Guevara, Mario Angelini, Marcos Araujo Carrillo, Gustavo A. Argeñal, Jainer Armas, Daphne Balta, Rafael A. Bolivar, Adriana Bustamante, Nelson Dart, Ricardo O. Dell Acqua, Martin Encina, Arnulfo Figueredo, Hernán Fontes, Fernando Gutiérrez Díaz, Joan S. Jiménez, Wilmer Lavado, Raúl S. Mansilla Baca, Jesús F. Mendonça Santos, Maria de Lourdes Moretti, Lucas M. Muñoz, Iván D. Olivera, Carolina Olmedo, Guillermo Omuto, Christian Ortiz, Sol Pascale, Carla Pfeiffer, Marco Ramos, Iván A. Ríos, Danny Rivera, Rafael Rodriguez, Lady M. Rodríguez, Darío M. Rosales, Albán Rosales, Kenset Schulz, Guillermo Sevilla, Víctor Tenti, Leonardo M. Vargas, Ronald Vasques, Gustavo M. Yigini, Yusuf Rubiano, Yolanda |
| author_sort |
Díaz Guadarrama, Sergio |
| title |
Improving the Latin America and Caribbean Soil Information System (SISLAC) database enhances its usability and scalability |
| title_short |
Improving the Latin America and Caribbean Soil Information System (SISLAC) database enhances its usability and scalability |
| title_full |
Improving the Latin America and Caribbean Soil Information System (SISLAC) database enhances its usability and scalability |
| title_fullStr |
Improving the Latin America and Caribbean Soil Information System (SISLAC) database enhances its usability and scalability |
| title_full_unstemmed |
Improving the Latin America and Caribbean Soil Information System (SISLAC) database enhances its usability and scalability |
| title_sort |
improving the latin america and caribbean soil information system (sislac) database enhances its usability and scalability |
| publisher |
Copernicus Publications |
| publishDate |
2024 |
| url |
https://essd.copernicus.org/articles/16/1229/2024/essd-16-1229-2024.htm http://hdl.handle.net/20.500.12324/39732 https://doi.org/10.5281/zenodo.7876731 |
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RepoAGROSAVIA397322024-08-01T03:00:53Z Improving the Latin America and Caribbean Soil Information System (SISLAC) database enhances its usability and scalability Improving the Latin America and Caribbean Soil Information System (SISLAC) database enhances its usability and scalability Díaz Guadarrama, Sergio Varón Ramírez, Viviana M. Lizarazo, Iván Guevara, Mario Angelini, Marcos Araujo Carrillo, Gustavo A. Argeñal, Jainer Armas, Daphne Balta, Rafael A. Bolivar, Adriana Bustamante, Nelson Dart, Ricardo O. Dell Acqua, Martin Encina, Arnulfo Figueredo, Hernán Fontes, Fernando Gutiérrez Díaz, Joan S. Jiménez, Wilmer Lavado, Raúl S. Mansilla Baca, Jesús F. Mendonça Santos, Maria de Lourdes Moretti, Lucas M. Muñoz, Iván D. Olivera, Carolina Olmedo, Guillermo Omuto, Christian Ortiz, Sol Pascale, Carla Pfeiffer, Marco Ramos, Iván A. Ríos, Danny Rivera, Rafael Rodriguez, Lady M. Rodríguez, Darío M. Rosales, Albán Rosales, Kenset Schulz, Guillermo Sevilla, Víctor Tenti, Leonardo M. Vargas, Ronald Vasques, Gustavo M. Yigini, Yusuf Rubiano, Yolanda Investigación agropecuaria - A50 Análisis del suelo Bases de datos Investigación Transversal http://aims.fao.org/aos/agrovoc/c_7198 http://aims.fao.org/aos/agrovoc/c_24833 http://aims.fao.org/aos/agrovoc/c_6513 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. Consejo Nacional de Ciencia y Tecnología's - CONACyT 2024-07-31T14:51:15Z 2024-07-31T14:51:15Z 2024-03-11 2024 article Artículo científico http://purl.org/coar/resource_type/c_2df8fbb1 info:eu-repo/semantics/article https://purl.org/redcol/resource_type/ART http://purl.org/coar/version/c_970fb48d4fbd8a85 https://essd.copernicus.org/articles/16/1229/2024/essd-16-1229-2024.htm http://hdl.handle.net/20.500.12324/39732 https://doi.org/10.5281/zenodo.7876731 reponame:Biblioteca Digital Agropecuaria de Colombia instname:Corporación colombiana de investigación agropecuaria AGROSAVIA eng Earth System Science Data 16 16 1229 1246 Amirinejad, A. A., Kamble, K., Aggarwal, P., Chakraborty, D., Pradhan, S., and Mittal, R. B.: Assessment and mapping of spatial variation of soil physical health in a farm, Geoderma, 160, 292–303, https://doi.org/10.1016/j.geoderma.2010.09.021, 2011. Angelini, M., Rodriguez, D. M., Olmedo, G. F., and Schulz, G.: Sistema de Información de Suelos del INTA (SISINTA): presente y futuro, in: XXVI Congreso Argentino de la Ciencia del Suelo, Tucumán, Argentina, 15–18 May 2018, 5 pp., https://www.researchgate.net/publication/325607030_Sistema_ de_informacion_de_suelos_del_INTA_SISINTA_Presente_y_ futuro (last access: 6 March 2024), 2018. Araujo-Carrillo, G. A., Varón-Ramírez, V. M., Jaramillo- Barrios, C. I., Estupiñan-Casallas, J. M., Silva-Arero, E. A., Gómez-Latorre, D. A., and Martínez-Maldonado, F. E.: IRAKA: The first Colombian soil information system with digital soil mapping products, Catena, 196, 104940, https://doi.org/10.1016/j.catena.2020.104940, 2021. 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