Improving the Latin America and Caribbean Soil Information System (SISLAC) database enhances its usability and scalability
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https://doi.org/10.5281/zenodo.7876731https://essd.copernicus.org/articles/16/1229/2024/essd-16-1229-2024.htmDate
2024Author
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
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Copernicus PublicationsPalabras clave
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Abstract
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.
Part of the journal
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Earth System Science; Vol 16, Núm 16 (2024): Earth System Science (Mar);p 1229–1246.
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- Artículos científicos [1957]
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