Spatial statistical analysis for delineating timber species diversity hotspots at compartment level

Loss of biodiversity due to rapid deforestation has been a major concern for conservation biologists. Even though biodiversity hotspots are identified at global scale, methods for identification of biodiversity hotspots at lower administrative units are missing. In this paper, a novel technique using remote sensing, geographical information system and spatial statistical analytical tools has been demonstrated for delineating timber species diversity hotspots within a selected reserve forest. Even though, the whole reserve forest is believed to be rich in timber species diversity, only 23 percent of the reserve forest has been found to be covered under timber species diversity hotspots. Among three major forest types, moist deciduous forest type found to contribute highest towards timber species diversity. Positive correlation of timber species diversity with canopy density has been observed. Among different elevation levels, 500700 MSL has maximum areas under timber species diversity hotspots. This approach of identification of hotspots within a reserve forest is expected to help in optimal decision making for timber harvesting and in situ conservation planning.