Biodiversity

Changes in climate are increasingly affecting the distribution and composition of ecosystems. This has profound implications for global biodiversity, as well as agriculture, disease, and natural resources such as wood and fish. Machine learning can help by supporting efforts to monitor ecosystems and biodiversity.

Background Readings

• Artificial Intelligence and Conservation: A curated collection of case studies.

• AI empowers conservation biology: A high-level overview of this problem space.

• Natural Solutions Toolkit: Example in-the-field implementations.

• Climate, biodiversity, and land: using ML to protect and restore ecosystems: An overview talk, with pointers to practical starting points.

Community

Journals and conferences

• PLOS Collections - Ecological Impacts of Climate Change

Data

• Camera Trap ML Survey