According to 3030 target, it is aims at protecting 30% of the earth’s land and sea through ecologically representative, well-connected and equitably governed systems. How can we reach that target through the tech of AI/ML?
AI can aid in biodiversity conservation by investigating data on species populations, habitats, and threats. This can help inform conservation strategies and improve our understanding of the complex relationships between different species and their environments.
Artificial Intelligence (AI) and Machine Learning (ML) contribute significantly to conservation planning, particularly in protected area expansion. AI analyzes ecological data for species distribution modeling, habitat suitability assessment, and corridor design optimization. It aids in identifying and monitoring threats through real-time data analysis and supports decision-making by integrating diverse datasets. ML models also analyze animal behavior, predict human-wildlife conflicts, and assess climate change impacts. These technologies enhance the precision and effectiveness of conservation efforts, enabling planners to prioritize and expand protected areas with a data-driven approach.