Designed to structure and implement a long-term ecological monitoring program in the Campos Ferruginosos National Park (PNCF), focusing on the mosaic of natural environments in Carajás (canga, forest, and cavities), the proposal is in line with the parameters of the Long-Term Ecological Research Program (PELD-CNPq). This is the first project of its kind to be funded by a private initiative and is part of the international network of RAPELD modules, a system developed in Brazil that makes it possible to bring together biodiversity surveys in different landscapes quickly and collaboratively. At the end of the project, the researchers want to generate robust, standardized, and integrated data on biodiversity and ecosystem services in the region, supporting strategic decisions on impact, management, compensation, restoration, and conservation.
The program is motivated by the urgency of understanding and protecting biodiversity in the face of growing pressures from mining and climate change. The loss of species and the degradation of habitats compromise ecosystem services and human well-being. In the context of the Amazon, where there are major knowledge gaps, especially in environments such as cangas and cavities, the generation of reliable scientific data is essential to guide public policies, licensing processes, and corporate sustainability strategies. The project also responds to the need to integrate ecological, genetic, and functional data into statistical models capable of estimating extinction risks and guiding mitigation actions.
The proposal relies on technological and methodological advances, such as the use of eDNA, camera traps, autonomous recorders, drones, LiDAR, and artificial intelligence to identify species. It also provides for the construction of databases and images, the use of genetic barcodes and the collection of functional and phenological data. Data standardization follows international protocols such as Darwin Core and Essential Biodiversity Variables (EBVs), guaranteeing interoperability with global databases such as GBIF and SpeciesLink.







