The Tech4Nature Costa Rica satellite applies a technology driven approach to support the long-term conservation of the Great Green Macaw through enhanced species monitoring and spatial analysis. The project deploys passive acoustic monitoring using AudioMoth devices installed at strategically selected locations across key landscapes within the species’ range. These devices continuously record environmental soundscapes, enabling the detection of Great Green Macaw vocalizations across different seasons and habitat types.
Acoustic data are processed using artificial intelligence-based algorithms to efficiently identify species specific signals and manage large volumes of recordings. Confirmed detections are integrated with geographic information systems (GIS) and complementary spatial datasets to generate maps and analytical outputs describing patterns of presence, activity, and habitat use throughout the year.
This technology pipeline enables the identification of critical sites for the species at different stages of its annual cycle, including key nesting areas during the breeding season and important roosting or movement areas during migratory periods. By revealing temporal and spatial patterns that are difficult to capture through conventional field methods, the project supports the refinement of habitat models and the prioritisation of areas for conservation and restoration. Overall, the initiative demonstrates how scalable, cost-effective digital technologies can strengthen ecological knowledge and inform evidence-based conservation actions for threatened species.
