Monitoring the changes in forest-cover and understanding the dynamics of the forest is becoming increasingly important for the sustainable management of forest ecosystems. This paper uses temporal MODIS Vegetation Continuous Field (MODIS-VCF) to monitor the tree cover change in the Indian region over a period of 6 years (2000–2005). Pixel-based linear regression model is developed to identify rate of deforestation and fragmentation at landscape level. The regression parameters viz., slope, offset and variance are used to identify threshold between forest and non-forest classes.

Global sustainability strategies require assessing whether countries’ development trajectories are sustainable over time. However, sustainability assessments are limited because losses of natural capital and its ecosystem services through deforestation have not been comprehensively incorporated into national accounts. We update the national accounts of 80 nations that underwent tropical deforestation from 2000 to 2012 and evaluate their development trajectories using weak and strong sustainability criteria.

The dependence of smallholder farmers on forest resources for their sustenance and livelihoods is a major driver of deforestation and degradation of forest resources in tropical countries. Understanding the socio-economic drivers that aggravate the extraction and overexploitation of forest products is vital for designing effective forest conservation and restoration measures. This particularly holds with regard to the importance of two fundamentally opposing motivations of smallholder forest exploitation, which we label “wood extraction for need” vs. “wood extraction for greed”.