Ram P. Sharma, PhD (recognized among the world's top 2% scientists in 2025)
Also known as: Ramu
Institute of Forestry, Tribhuwan University, Česká Zemědělská Univerzita v Praze Fakulta Lesnická a Dřevařská, Norwegian University of Life Sciences
0000-0002-8623-6211
About
I am a silviculturist with specialization in forest growth and site productivity modelling, and interested in large data assimilation and modelling, ecological modelling, modelling forest growth, site productivity, site indices, forest biomass, carbon sequestration, climate change, REDD+, enhanced carbon storage, stand disturbances, competition indices, diversity indices, regeneration, mortality, dendrochronology, species mixing effects, community forestry, remote sensing, LiDAR, and so on. Currently I am an Editor of Forest Ecology and Management; Trees Forests and People; Remote Sensing; Forests; and Associate Editor of Frontiers (Forest and Global changes, plant sciences)
Employment
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Institute of Forestry, Tribhuwan University Professor (Adjunct)2020 - Present
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Česká Zemědělská Univerzita v Praze Fakulta Lesnická a Dřevařská Postdoc/Senior Researcher2015 - 2019
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Norwegian University of Life Sciences Research Fellow2005 - 2013
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Institute of Forestry, Tribhuwan University Assistant Lecturer2003 - 2005
Education
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Norwegian University of Life Sciences MSc2001 - 2003
Projects & Funding
Projects & funding information is unavailable.
Publications (127)
- Modelling diameter distribution of spruce-fir broad-leaved mixed forest with parametric and nonparametric methods Save
- Integrating Multi-Season Sentinel-1/2 and Topographic Features to Improve Tree Species Diversity Estimation Accuracy Save
- Effects of Topographic Factors on Moso Bamboo Stand Characteristics, Soil Nutrient Concentrations and Stoichiometry Save
- Developing mixed-effects mortality model using stand characteristics and environmental data for Moso bamboo in southern China Save
- Integrating environmental drivers and forest structure for regional prediction of aboveground carbon storage in Moso bamboo forests Save
- Assessing Forest Degradation and Restoration Pathways on the Qinghai-Tibet Plateau: Implications for Sustainable Forest Management and Policy Save
- Key drivers and nonlinear controls of Moso bamboo aboveground biomass revealed by machine learning models Save
- Combining unmanned aerial vehicle and ground LiDAR for biomass estimation: Canopy complexity effects in diverse forests Save
- Developing Mixed-Effects Height-Diameter Model Using Stand and Environmental Factors for Mixed Forests in Northern China Save
- Environmental contingency of forest-cloud interactions: Contrasting atmospheric enhancement and suppression mechanisms across Chinese climate gradients Save