https://www.selleckchem.com/pr....oducts/pf-03084014-p
This work mainly focused on deforestation susceptibility (DS) assessment and its prediction based on statistical models (FR, LR AHP) in the Saranda forest, India. Also, efforts had been made to quantify the effect of mining on deforestation. We had considered twenty-five (twenty present and five predicted) causative variables of deforestation, including climate, natural or geomorphological, forestry, topographical, environmental, and anthropogenic. The predicted variables have been generated from different simulatio