KEY WORDS: MRV, REDD+, community forests, linear regress model and biomass change ABSTRACT:Measurement, reporting and verification (MRV) is included in the Cancun, Mexico, in 2010 under climate change agreements, as one of the most critical elements necessary for the successful implementation of any reducing of emissions from deforestation and forest degradation and the role of conservation, sustainable management of forests and enhancement of forest carbon stocks in developing countries (REDD+) mechanism. Community forestry is recognised as a successful model for conserving forests, raising awareness among local people and decentralising the forest governance practices. In the world, Nepal is considered as a leader in community-based forest management. This study conducted in 16 community forests (2384.76 ha) of Kayar Khola watershed (8002 ha) of Chitwan district, Nepal. In this paper, satellite images IKONOS-2 (2002) and GeoEye-1 (2009GeoEye-1 ( & 2012 were used which have 1 m and 0.5 m ground spatial distance (GSD) respectively. Geographic information system (GIS) participatory approach was embraced for the boundaries delineation of community forests. Geographic object-based image analysis (GEOBIA) classification technique was performed and overall accuracy 94% with 92.91% producer's and 96. show the forest of the study area is not mature and has capacity to sequestrate more and more carbon in coming years. A linear regress model obtained (AGB = 0.0543*CPA -62.078 with R² = 0.76) by plotting the delineated crowns from satellite image and field based biomass values at 1ha grid. The present study was conducted in order to analyse, the performance of community forestry to achieve REDD+ goals by considering a sample of pilot project site in Nepal.* Corresponding author. This is useful to know for communication with the appropriate person in cases with more than one author.

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