International negotiations aimed at reducing emissions from tropical forest deforestation and degradation (REDD+) through carbon trading are gathering momentum, with numerous pilot projects around the world currently at the design or early-implementation stage. Polluters investing in REDD+ projects to offset carbon emissions will seek assurances that emissions reductions are genuine, requiring the development of robust and transparent monitoring systems to evaluate the effectiveness of interventions. Emissions Reductions will be calculated by comparing actual emissions during an implementation period with the predicted emissions, based on models of how much carbon would have been emitted under a business-as-usual scenario. Surprisingly, little thought has been given to how the predictive models should be structured. Our consortium is well placed to make advances in this area because we have a track record of involvement in carbon projects (Plant Sciences), international policy development (UNEP-WCMC) and tropical forest conservation (RSPB).
Other CCI-funded projects in Gola Forest related to this one include:
- A framework for assessing livelihood impacts of forest conservation programmes
- Integrating socio-economic data to improve the design and impact of REDD+ schemes
This project was funded by the CCI Collaborative Fund for Conservation.