Data and Results for Biodiversity Conservation Paper

Informatics technologies are revolutionizing wildlife conservation by addressing the critical challenges posed by climate change, habitat fragmentation, and biodiversity loss. This bibliometric review examines the global research landscape on leveraging informatics tools—such as machine learning, remote sensing, geographic information systems (GIS), and big data analytics—to support wildlife conservation and biodiversity management. Using Scopus as the primary database, the study analyzed 643 publications from 1993 to 2024, identifying trends, collaborations, and thematic focuses within the field