GeoReforest: plugin de QGIS para la selección de especies arbóreas en la reforestación de áreas mineras

Abstract

The closure of mines presents the critical challenge of restoring intervened ecosystems, where the wrong choice of tree species can lead to the failure of revegetation efforts. GeoReforest, a QGIS plugin, emerges as an innovative solution to this problem. It integrates geoenvironmental data, such as elevation, soil type, precipitation, temperature, and humidity, with a tree species database, enabling the identification of the most suitable species for each specific area. The plugin not only optimizes resources and accelerates decision-making but also ensures higher survival rates for the selected species. Developed using the agile SCRUM methodology and tools like Python, PyQGIS, and PostgreSQL, GeoReforest combines technical precision with accessibility for professionals, making a significant contribution to landscape restoration and environmental sustainability.