Welcome to my website!
I am mainly interested in vegetation modeling and in understanding the impact of disturbances on terrestrial ecosystems and forest carbon sequestration at various spatial and temporal scales. Recent evidences of frequent and severe disturbances on different ecosystems suggest unprecedented impacts from the increasing human population and climate change. My research studies aim at early detection of future vegetation risks and quantification of ecosystem conditions and carbon for alternate management and climate scenarios. In my studies, I mostly use geospatial methods, remote sensing, process-based models, and machine learning approaches.
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Life Stage and Neighborhood-Dependent Survival of Longleaf Pine after Prescribed Fire in Forests.
Understanding the spatial pattern and driving factors associated with timberland ownership change in the Northern United States in Journal of Forestry.
Canopy tree density and identity influence tree regeneration patterns and woody species diversity in a longleaf pine forest in Forest Ecology and Management.
Modeling forest stand volume and forest carbon sequestration for alternate silvicultural management and climate scenarios.
Explore pathways for post-harvest forest products to understand fate and longevity of carbon stored in various forest products.
Impacts of stand-replacing disturbances (natural and anthropogenic) on forest ecosystem across the United States.
Modeling forest diseases in southeastern United States for current and future climate scenarios.
Post-fire GPP trends for shrubland dominated ecosystem based on ED model and MODIS
Department of Forestry and Environmental Resources
North Carolina State University
Google scholar profile