Gustavo Andrés Ramírez Gómez

Mr. Gustavo Andrés Ramírez Gómez

Statistics, Colegio de Postgraduados, Montecillo, Mexico

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 June 2023 in Sustainability
Verified
Journal Article
Open access
PDF file
EGEdgar Vladimir Gutiérrez-Castorena
Edgar Vladimir Gutiérrez-Castorena
GGGustavo Andrés Ramírez Gómez
Gustavo Andrés Ramírez Gómez
CSCarlos Alberto Ortíz Solorio
Carlos Alberto Ortíz Solorio
The sustainability of the natural resources used in agricultural production is essential to meet the future food needs of the population. It is necessary to understand the characteristics of climate and soil changes through agroclimatic zoning models, even with non-existent or limited climatic and edaphic databases, to avoid a decline in production. The objective of the study was to determine the accuracy of the Global Agroecological Zoning (GAEZ), ECOCROP and Papadakis models for major cereals, vegetables and fruit trees in the state of Nuevo León, Mexico, using the databases of climatic stations and soil profiles collected by INEGI with random sampling in the field. The model with the best projection was ECOCROP, which predicted 37,609 km2 of irrigated area for sorghum and 34,796 km2 for wheat, in addition to identifying by soil characteristics rainfed areas with higher suitability for beans measuring 8470 km2 and orange measuring 6175 km2 with zoning predictions based on field information. In conclusion, the thematic maps obtained with ECOCROP had an accuracy greater than 50% for more than half of the crops analyzed, making it the best method for the study area. Therefore, the food production decisions of the producers must be directed towards cereal crops based on the projected area; however, it is necessary to establish an updating program and generate edaphoclimatic databases, updating thematic soil and climate maps with models that support the projections verified in the field.