THE RELATIONSHIP BETWEEN PRODUCTIVE ACTIVITIES AND THE CONSERVATION OF FOREST REMNANTS ON RURAL PROPERTIES
forest degradation, Amazon, permanent agriculture, Rural Environmental Registry
The characteristics of rural properties and the landscape, including land use types, are potential predictors of the integrity level of remaining native vegetation. Despite this, we still know little about the interrelations between productive activities and the conservation of forest remnants in the Amazon. This study aimed to assess whether the type of land use and the characteristics of private rural properties influence the integrity of forest remnants in the Guamá microregion in northeastern Pará, which includes 13 municipalities. To achieve the proposed objectives, permanent crops and forests were mapped, and the collected data were integrated with information from the Brazilian Foundation for Sustainable Development (FBDS) and the Annual Mapping Project of Land Cover and Land Use in Brazil (MapBiomas). We used three variables as proxies for the integrity of native forests: the Normalized Difference Vegetation Index (NDVI) calculated based on Landsat images, and the height and above-ground biomass calculated based on data from the Global Ecosystem Dynamics Investigation (GEDI). We included five main predictors: a) TPR - the size of the rural property; b) %AGRI = the proportion of the rural property occupied by permanent agriculture; c) FOR = the area of native vegetation on the rural property; d) %FOR = the proportion of the rural property occupied by native vegetation; e) %non_FOR = percentage of the property occupied by alternative land uses (agriculture and pastures); f) FIRE – average number of times the forest fragment on the property was burned between 1985 and 2022; g) cFIRE – number of fire outbreaks on the property in the last five years (2019-2023). The results indicated four predictors as important to explain the variation in NDVI of forest fragments on each property (%AGRI, FOR, %FOR, and cFIRE), explaining only 5% of these variables (r² = 0.05; p<0.05). Five predictors were important for explaining the variation in vegetation height in the fragments of each property (TPR, %AGRI, FOR, %FOR, and FIRE), explaining 16% of these variables (r² = 0.16; p<0.05). In the case of biomass, four predictors were important for explaining the variation in the data (%AGRI, FOR, %FOR, and FIRE), explaining 8% of these variables (r² = 0.08; p<0.05). These findings highlight the importance of considering the complexity of interactions between land use and the characteristics of rural properties for the conservation of forest remnants in the Amazon region. This research contributes to the understanding of environmental dynamics and supports policies and practices aimed at sustainability and preservation of the Eastern Amazon.