Land use and deforestation in northeast Mexico (1985–2020): A multi-temporal analysis in the Tamaulipas Biotic Province

Remote sensing time-series analysis can allow planning and policy development to ensure the conservation, restoration,and the sustainable use of terrestrial ecosystems. We analyzed land use change and deforestation over 35years (1985-2020) in the Tamaulipas Biotic Province of Mexico by using multi-s...

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Detalles Bibliográficos
Autores principales: Sandoval-García, Rufino, Buendía-Rodríguez, Enrique, Alanís-Rodríguez, Eduardo, Mora-Olivo, Arturo, Ríos-Saldaña, Carlos Antonio
Formato: Online
Idioma:spa
Publicado: Editorial Tecnológica de Costa Rica 2026
Acceso en línea:https://revistas.tec.ac.cr/index.php/kuru/article/view/8438
Descripción
Sumario:Remote sensing time-series analysis can allow planning and policy development to ensure the conservation, restoration,and the sustainable use of terrestrial ecosystems. We analyzed land use change and deforestation over 35years (1985-2020) in the Tamaulipas Biotic Province of Mexico by using multi-spectral satellite imagery. In addition,the annual rate of forest change was calculated for each land cover type. Between 1985 and 2020, the TamaulipasBiotic Province lost 391 772 ha of natural vegetation and experienced the highest annual rate of forest change inthe Tamaulipas Biotic Province in grassland and deciduous forest, with -3.1% and -2.9% annually, respectively.Xerophytic scrub is the principal natural vegetation in the Tamaulipas Biotic Province, occupying approximately2 000 000 ha (21%), dominated by Tamaulipan thornscrub (51.1%) and submontane scrubland (32.6%). In conclusion,according to our results, the Tamaulipas Biotic Province has suffered a continuous process of deforestationthat has led to the loss of more than 14.5% of native vegetation in the last 35 years. Xerophytic scrub is the naturalcover that has lost the greatest area, but due to their higher representation, grasslands and deciduous forest haveshown the highest deforestation rate. These results could be used to promote the sustainable use and conservationof natural resources.