DETECTING SECONDARY FOREST PERSISTENCE FROM 2008 TO 2022 IN THE STATE OF PARÁ - BRAZIL

Secondary forests (SF) are widespread across the Amazon and play a critical role in providing ecosystem services and supporting biodiversity restoration. Data derived from remote sensing can help estimate the persistence of SF fragments and link them to the local forest ecosystem context. The TerraClass system maps SF fragments across the Amazon and provides data for seven time periods from 2008 to 2022. This study aimed to estimate the persistence of SF fragments in Pará State (Brazil) using TerraClass data. The methodology involved concatenated spatial operations to track SF fragments over pre-defined mapping periods. Results were quantified and spatialized, revealing regions with a higher frequency of SF fragment detection and regions with a lower frequency. These findings were related to existing literature, suggesting associations with the distinct techno-productive systems in these areas. The study highlights the importance and need for annual data on secondary forests.