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.

Data

• Camera Trap ML Survey

Recommended Readings

For a curated collection of case studies, consider,

• Artificial Intelligence and Conservation

A high-level review of this problem space is,

• AI empowers conservation biology

Further examples of conservation agency led efforts include,

• Natural Solutions Toolkit from the Nature Conservancy

Talks on this subject include,

• Climate, biodiversity, and land: using ML to protect and restore ecosystems

Community

Journals and conferences

• PLOS Collections - Ecological Impacts of Climate Change