Last Update: 06/03/2026 at 4:25 AM EST
Forest Carbon Risk Underestimated
Coverage from University of Utah Biology Faculty News, EurekAlert!, and others
Articles
3
Latest Article
05/22
Active Days
3
Executive Summary
Research led by University of Utah scientists finds that U.S. forest carbon markets are undercounting the risk that stored carbon will be lost to wildfire, drought, and insect outbreaks intensified by climate change. The analysis maps higher-risk areas, especially in California and the Intermountain West, and suggests current buffer pools are too small to cover likely losses. The findings matter because forest offsets are widely used in climate policy, and their credibility depends on how well they account for long-term carbon permanence.
Basic Facts
- What: Unknown based on available details here
- Where: Unknown based on available details here
- Why: Unknown based on available details here
- Who: Unknown based on available details here
- When: Unknown based on available details here
Key Points
- The central finding is that forest carbon protocols do not fully account for climate-amplified carbon loss risk in U.S. forests.
- Wildfire emerges as the largest climate-sensitive threat to long-term carbon durability, with drought and insect outbreaks also contributing.
- Risk is not evenly distributed; the highest projected losses are concentrated in California and the Intermountain West.
- The study estimates current buffer pools would need to be roughly six times larger to cover expected losses over a century for studied projects.
- The analysis combines forest plot data, satellite observations, and machine learning to produce carbon-loss risk maps.
- The work points to a policy adjustment problem rather than rejection of forest offsets, arguing that better science could improve project siting and reserve design.
Featured Article
University of Utah and UC Santa Barbara researchers in Nature report climate-informed modeling of 100-year forest carbon reversal risks in U.S. regions, finding carbon credits may undercount losses.
