CMI researchers at the Colorado School of Mines conducted the research that led to this highlight
- Modified an existing methodology to assess the long-run availability of mineral resources, which reconciles differences between the two major schools of thought about resource availability.
- Applied the method to copper resources
Significance and Impact
- Demonstrates that differences between the two approaches can be reconciled
- Finds that, when applied to copper, peak production and use are pushed farther into the future than most recent assessments
Peak models, based on physical stocks and flows, and cumulative-availability-curve approaches, based on opportunity costs, can be reconciled to develop improved assessments of long-run resource availability - by taking advantage of aspects common to both approaches and incorporating demand.