Biodiversity
This page is about the intersection of ecosystems and machine learning in the context of climate change adaptation. For an overview of biodiversity monitoring as a whole, please see the Wikipedia page on this topic.
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.
Machine Learning Application Areas
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.
Online Courses and Course Materials
Community
Journals and conferences
- PLOS Collections - Ecological Impacts of Climate Change