Priority areas for identifying traditional agricultural systems in the agrotechnological districts of Jacupiranga-SP and Lagoinha-SP.
No hay miniatura disponible
Fecha
Título de la revista
ISSN de la revista
Título del volumen
Editor
Resumen
Descripción
In this study, the landscape mosaic approach is presented as a strategy for identifying hotspots of Traditional Agricultural Systems (TAS). It analyzes land use and cover through spatial composition, resulting in a mapping strategy that links local socio-environmental interactions to territorial planning. However, identifying and characterizing TAS involves methodological challenges related to spatial heterogeneity. The approach is part of the contributions of the Remote Sensing axis of the Semear Digital project in connection with the Agro-Technological Districts (DATs). In this phase, we conducted an exploratory analysis to identify Priority Areas (PAs) based on the diversity of land use and land cover classes in the DATs of Lagoinha and Jacupiranga in São Paulo State. Six PAs were identified, one of which in Lagoinha. The composition and proportion of classes within the PAs reflect the historical patterns of land use and cover and the drivers of socioeconomic adaptations related to TAS. Technical, social, and economic factors necessary for methodological improvement were identified. The PAs can support the implementation of the mosaic-based approach and point to strategic areas for Semear Digital’s engagement with the DATs.
Organização: Silvia Maria Fonseca Silveira Massruhá, Durval Dourado Neto, Luciana Alvim Santos Romani, Jayme Garcia Arnal Barbedo, Édson Luis Bolfe, Ivan Bergier, Maria Angelica de Andrade Leite, Vitor Del Alamo Guarda, Catarina Barbosa Careta.
Organização: Silvia Maria Fonseca Silveira Massruhá, Durval Dourado Neto, Luciana Alvim Santos Romani, Jayme Garcia Arnal Barbedo, Édson Luis Bolfe, Ivan Bergier, Maria Angelica de Andrade Leite, Vitor Del Alamo Guarda, Catarina Barbosa Careta.
Palabras clave
Sistema agrícola, Sistemas agrícolas tradicionais, Distritos agrotecnológicos, Projeto Semear Digital, Sensoriamento Remoto, Desenvolvimento Rural, Comunidade Rural, Remote sensing, Rural development, Rural communities
