Articles | Volume 16, issue 3
https://doi.org/10.5194/essd-16-1229-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-1229-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
11 Mar 2024
Data description article |
| 11 Mar 2024
| 11 Mar 2024
Improving the Latin America and Caribbean Soil Information System (SISLAC) database enhances its usability and scalability
Sergio Díaz-Guadarrama
CORRESPONDING AUTHOR
Departamento de Agronomía, Facultad de Ciencias Agrarias. Universidad Nacional de Colombia, Bogotá, Colombia
Viviana M. Varón-Ramírez
Centro de Geociencias, Universidad Nacional Autónoma de México Campus Juriquilla, Querétaro, 76230, Mexico
Corporación colombiana de investigación agropecuaria AGROSAVIA, C.I. Tibaitatá, Bogotá, CO-0571, Colombia
Iván Lizarazo
Departamento de Agronomía, Facultad de Ciencias Agrarias. Universidad Nacional de Colombia, Bogotá, Colombia
Mario Guevara
CORRESPONDING AUTHOR
Centro de Geociencias, Universidad Nacional Autónoma de México Campus Juriquilla, Querétaro, 76230, Mexico
Department of Environmental Sciences, University of California, Riverside, Riverside, CA 92507, USA
United States Department of Agriculture, Soil Salinity National Laboratory, Riverside, CA 92507, USA
Marcos Angelini
FAO, Vialle de Terme di Caracalla, Rome, Italy
Gustavo A. Araujo-Carrillo
Corporación colombiana de investigación agropecuaria AGROSAVIA, C.I. Tibaitatá, Bogotá, CO-0571, Colombia
Jainer Argeñal
Facultad de Ciencias, Universidad Nacional Autónoma de Honduras, Tegucigalpa, Honduras
Daphne Armas
Departamento de Agronomía, Edif. CITEIIB, Universidad de Almería, 04120 Almería, Spain
Rafael A. Balta
Dirección General de Asuntos Ambientales Agrarios, Ministerio de Desarrollo Agrario y Riego, Lima, Peru
Adriana Bolivar
Subdirección Agrología, Instituto Geográfico Agustín Codazzi, Bogotá, Colombia
Nelson Bustamante
Servicio Agrícola y Ganadero, Santiago de Chile, Chile
Ricardo O. Dart
Embrapa Solos, Rio de Janeiro, 22460-000, Brazil
Martin Dell Acqua
Direccion General de Recursos Naturales, Ministerio de Ganadería, Agricultura y Pesca, Montevideo, Uruguay
Arnulfo Encina
Facultad de Ciencias Agrarias, Universidad Nacional de Asunción, Asunción, Paraguay
Hernán Figueredo
Sociedad Boliviana de la Ciencia del Suelo, La Paz, Bolivia
Fernando Fontes
Direccion General de Recursos Naturales, Ministerio de Ganadería, Agricultura y Pesca, Montevideo, Uruguay
Joan S. Gutiérrez-Díaz
Department of Agroecology, Faculty of Science and Technology, Aarhus University, Tjele, 8830, Denmark
Wilmer Jiménez
Ministerio de Agricultura y Ganadería, Quito, 170516, Ecuador
Raúl S. Lavado
Facultad de Agronomía e INBA (CONICET/UBA), Universidad de Buenos Aires, Buenos Aires, 1417, Argentina
Jesús F. Mansilla-Baca
Embrapa Solos, Rio de Janeiro, 22460-000, Brazil
Maria de Lourdes Mendonça-Santos
Embrapa Solos, Rio de Janeiro, 22460-000, Brazil
Lucas M. Moretti
Estación Experimental Agropecuaria Cerro Azul, Instituto Nacional de Tecnología Agropecuaria, Misiones, Argentina
Iván D. Muñoz
Subdirección Agrología, Instituto Geográfico Agustín Codazzi, Bogotá, Colombia
Carolina Olivera
FAO, Vialle de Terme di Caracalla, Rome, Italy
Guillermo Olmedo
FAO, Vialle de Terme di Caracalla, Rome, Italy
Christian Omuto
FAO, Vialle de Terme di Caracalla, Rome, Italy
Sol Ortiz
Secretaría de Agricultura y Desarrollo Rural, Mexico City, Mexico
Carla Pascale
Ministerio de Agricultura, Ganadería y Pesca (MAGYP), Buenos Aires, Argentina
Marco Pfeiffer
Departamento de Ingeniería y Suelos, Facultad de Ciencias Agronómicas, Universidad de Chile, Santiago, Chile
Iván A. Ramos
Instituto de Investigación Agropecuaria de Panamá, Panama City, Panama
Danny Ríos
Departamento de Ciencias del Suelo y Ordenamiento Territorial, Universidad Nacional de Asunción, Asunción, Paraguay
Rafael Rivera
Ministerio de Medio Ambiente, Santo Domingo, Dominican Republic
Lady M. Rodriguez
Subdirección Agrología, Instituto Geográfico Agustín Codazzi, Bogotá, Colombia
Darío M. Rodríguez
Instituto de Investigación Suelos, Centro de Investigación de Recursos Naturales (CIRN), Instituto Nacional de Tecnología Agropecuaria, Hurlingham, Buenos Aires, B1686, Argentina
Albán Rosales
Instituto Nacional de Innovación y Transferencia en Tecnología Agropecuaria, San José, Costa Rica
Kenset Rosales
Ministerio de Ambiente y Recursos Naturales, Guatemala City, Guatemala
Guillermo Schulz
Instituto de Investigación Suelos, Centro de Investigación de Recursos Naturales (CIRN), Instituto Nacional de Tecnología Agropecuaria, Hurlingham, Buenos Aires, B1686, Argentina
Víctor Sevilla
Facultad de Agronomía, Universidad Central de Venezuela, Maracay, Venezuela
Leonardo M. Tenti
Instituto de Investigación Suelos, Centro de Investigación de Recursos Naturales (CIRN), Instituto Nacional de Tecnología Agropecuaria, Hurlingham, Buenos Aires, B1686, Argentina
Ronald Vargas
FAO, Vialle de Terme di Caracalla, Rome, Italy
Gustavo M. Vasques
Embrapa Solos, Rio de Janeiro, 22460-000, Brazil
Yusuf Yigini
FAO, Vialle de Terme di Caracalla, Rome, Italy
Yolanda Rubiano
Departamento de Agronomía, Facultad de Ciencias Agrarias. Universidad Nacional de Colombia, Bogotá, Colombia
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This study introduces the first global, spatially explicit dataset of tree diameter structure, capturing key aspects of forest organization, including average tree size, large-tree dominance, and within-stand variability. Built from over one million ground-based field plots combined with more than 50 satellite and environmental layers using machine learning, it provides a consistent representation of forest structure and supports ecosystem research, climate modeling, and forest management.
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Revised manuscript accepted for ESSD
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Viviana Marcela Varón-Ramírez, Douglas Andrés Gómez-Latorre, Carlos Eduardo Arroyo-Cruz, Alberto Gómez-Tagle, Blanca Lucía Prado Pano, Ronald Roger Gutierrez Llantoy, Deyanira Lobo-Luján, and Mario Antonio Guevara
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Manuscript not accepted for further review
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Research data are becoming increasingly available online with tantalizing possibilities for reanalysis. However harmonizing data from different sources remains challenging. Using the soils community as an example, we walked through the various strategies that researchers currently use to integrate datasets for reanalysis. We find that manual data transcription is still extremely common and that there is a critical need for community-supported informatics tools like vocabularies and ontologies.
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Short summary
In this work, the Latin America and Caribbean Soil Information System (SISLAC) database (https://54.229.242.119/sislac/es) was revised to generate an improved version of the data. Rules for data enhancement were defined. In addition, other datasets available in the region were included. Subsequently, through a principal component analysis (PCA), the main soil characteristics for the region were analyzed. We hope this dataset can help mitigate problems such as food security and global warming.
In this work, the Latin America and Caribbean Soil Information System (SISLAC) database (
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