AI, Forests and Climate Solutions
Natural Climate Solutions Initiative
The Natural Climate Solutions Initiative at the Stanford Woods Institute of the Environment aims to help unleash the full potential of natural climate solutions. Finding practical ways to fund their implementation; negotiating policy roadblocks; and ensuring that climate and co- benefits are durable and accurately accounted for are all part of the puzzle.
The initiative aims to help identify when and where to invest in natural climate solutions in order to creative incentives for more effective resource management; develop rigorous methods to verify the implementation of a solution and properly account for its full life-cycle impact; develop appropriate financing mechanisms; ensure governance recommendations are context-sensitive; and insure against potential risks.
Learn more about our work in this Fact Sheet.
Natural Climate Solutions News
-
A Stanford report and preprint study reveals that uncertainty about risk and liability is stopping reforestation carbon credits from scaling up. Its findings point to possible solutions, such as clear risk allocation frameworks, expanded insurance options, and enhanced transparency.
-
White paper details how research institutions can support methodological evolutions in forest carbon
Uncommon Dialogue workshop focused on advancing interoperable Measurement, Reporting, Verification (MRV) systems.
-
Testing and comparing AI models can verify and build trust in their ability to measure and map carbon stored in forests, according to findings of researchers at Stanford University, Brown University, and Planet Labs. The breakthrough could transform how companies and countries track — and pay for — nature’s help with combatting climate change.
In Print
“Additionality, Baselines, and the Proper Accounting for Land-Based Climate Change Mitigation Efforts”, Oxford Open Climate Change, no. 1 (July 17, 2024). Nolan, Connor, Cecilia Van Paasschen, and Christopher Field. https://doi.org/https://doi.org/10.1093/oxfclm/kgae012.
Featured Event
Related Scholars
