Dr. Krishna Poudel

Güner, S. T., Maria, D. J., Poudel, K. P., Çömez, A., Özçelik, R. 2022. Employing artificial neural network for effective biomass prediction: An alternative approach. Computers and Electronics in Agriculture 192(106596).

Dahal, B., Poudel, K. P., Renninger, H. J., Granger, J. J., Leininger, T. D., Gardiner, E. S., Souter, R. A., Rousseau, R. J. 2022. Aboveground biomass equations for black willow (Salix nigra Marsh.) and eastern cottonwood (Populus deltoides Bartr. ex Marsh.). Trees, Forests and People 7(100195).

Ulak, S., Ghimire, K., Gautam, R., Bhandari, S. K., Poudel, K. P., Timilsina, Y. P., Pradhan, D., Subedi, T. 2022. Predicting the upper stem diameters and volume of a tropical dominant tree species. Journal of Forestry Research 5(s11676).

Huy, B., Truong, N. Q., Khiem, N. Q., Poudel, K. P., Temesgen, H. 2022. Deep learning models for improved reliability of tree aboveground biomass prediction in the tropical evergreen broadleaf forests. Forest Ecology and Management 508(120031).

Kyaw, T., Siegert, C. M., Dash, P., Poudel, K. P., Pitts, J. J., Renninger, H. J. 2022. Using hyperspectral leaf reflectance to estimate photosynthetic capacity and nitrogen content across eastern cottonwood and hybrid poplar taxa. PLOS One 17:e0264780.

Huy, B., Truong, N. Q., Khiem, N. Q., Poudel, K. P. 2022. Stand growth modeling system for planted teak (Tectona grandis Lf) in tropical highlands. Trees, Forests and People 9:100308.

Dettmann, G. T., MacFarlane, D. W., Radtke, P. J., Weiskittel, A. R., Affleck, D. L., Poudel, K. P., Westfall, J. 2022. Testing a generalized leaf mass estimation method for diverse tree species and climates of the continental United States. Ecological Applications

Lamichhane, S., Sun, C., Gordon, J. S., Grado, S. C., Poudel, K. P. 2021. Spatial dependence and determinants of conservation easement adoptions in the United States. Journal of Environmental Management 296(113164).

Poudel, K. P., Avery, S. C., Granger, J. J. 2021. Live Crown Ratio Models for Loblolly Pine (Pinus taeda) with Beta Regression. Forests 12(10):1409.

Bankston, J. B., Sabatia, C. O., Poudel, K. P. 2021. Effects of Sample Plot Size and Prediction Models on Diameter Distribution Recovery. Forest Science 67(3):245-255.

Poudel, K. P., Özçelik, R., Yavuz, H. 2020. Differences in Stem Taper of Black Alder (Alnus glutinosa Gaertn subsp. Barbata) by Origin. Canadian Journal of Forest Research 50(6).

Huy, B., Nam, L. C., Poudel, K. P., Temesgen, H. 2020. Individual tree diameter growth modeling system for Dalat pine (Pinus dalatensis Ferré) of the upland mixed tropical forests. Forest Ecology and Management 480.

Yang, J., Ren, W., Ouyang, Y., Feng, G., Tao, B., Granger, J., Poudel, K. P. 2019. Projection of 21st century irrigation water requirement across the Lower Mississippi Alluvial Valley. Agricultural Water Management 217:60-72.

Poudel, K. P., Temesgen, H., Radtke, P. J., Gray, A. N. 2019. Estimating Individual Tree Aboveground Biomass of Tree Species in the Western USA. Canadian Journal of Forest Research 49(6).

Huy, B., Tinh, N. T., Poudel, K. P., Frank, B. M., Temesgen, H. 2019. Taxon-specific modeling systems for improving reliability of tree aboveground biomass and its components estimates in tropical dry dipterocarp forests. Forest Ecology and Management 437:156-174.

Huy, B., Thanh, G. T., Poudel, K. P., Temesgen, H. 2019. Individual Plant Allometric Equations for Estimating Aboveground Biomass and Its Components for a Common Bamboo Species (Bambusa procera A. Chev. and A. Camus) in Tropical Forests. Forests 10(4):316.

Poudel, K. P., Temesgen, H., Gray, A. N. 2018. Estimating upper stem diameters and volume of Douglas-fir and Western hemlock trees in the Pacific northwest. Forest Ecosystems 5(1).

Poudel, K. P., Flewelling, J., Temesgen, H. 2018. Predicting Volume and Biomass Change from Multi-Temporal Lidar Sampling and Remeasured Field Inventory Data in Panther Creek Watershed, Oregon, USA. Forests 9(1):28.

Huff, S., Poudel, K. P., Ritchie, M., Temesgen, H. 2018. Quantifying aboveground biomass for common shrubs in northeastern California using nonlinear mixed effect models. Forest Ecology and Management 424:154-163.