TITLE:
Harnessing REDD+ opportunities for forest conservation and carbon stock enhancement in the Northeastern States of India
AUTHORS:
Indu K. Murthy, Nitasha Sharma, Ravindranath Nijavalli H
KEYWORDS:
Forests; Climate Change; REDD+; Mitigation Potential; Northeast India
JOURNAL NAME:
Natural Science,
Vol.5 No.3,
March
26,
2013
ABSTRACT:
Forests have significant economic and ecological value as a provider of ecosystem services, being home to much of the world’s biodiversity and supporting the livelihoods of many people. Reducing emissions from deforestation and forest degradation in developing countries (REDD) is a critical component of the overall greenhouse gas emission reductions and now the significance of REDD+ (which is not only about reducing emissions but halting and reversing forest loss), in delivering climate change mitigation benefits along with co-benefits, is increasingly being recognized in global climate negotiations. Northeast India provides a tremendous potential for harnessing REDD+ activities with about 66% of the total geographical area of the region being covered by forests. This paper attempts to explore this potential besides estimating the area available for different options under REDD+ as well as the mitigation potential using COMAP model, overcoming limitations of existing studies or a lack of them. Within this, the status of forests and biodiversity along with drivers of deforestation in north east India are documented and an assessment of the potential for taking up reducing deforestation and degradation and enhancement of carbon stocks and afforestation is conducted both at the state as well as district level. It was found that northeastern states have been experiencing net forest loss during the last few years along with significant scale forest degradation, with Nagaland followed by Arunachal Pradesh offering maximum potential for “reducing deforestation” option under REDD and the total incremental annual mitigation potential of the four REDD+ activities in northeast India being 29.2 MtCO2 for 2030.