Dr. Sheng-I Yang

Dr. Sheng-I Yang
Dr. Sheng-I Yang

Assistant Professor of Forest Biometrics

 

 

 

Address

Warnell 4-505

Assistant Professor of Forest Biometrics

Dr. Sheng-I Yang’s research focuses on modeling forest growth, diversity, structure, and function for planted and natural forests in order to advance forest science and inform sustainable forest management decisions. He develops and improves quantitative methods at the individual tree, stand, and system levels. He has worked on multiple research projects for a variety of forest types, including southern pine monocultures as well as mixed-species forests in temperate and pantropical regions (e.g., Caribbean). Particularly, he is interested in (1) estimating stand carrying capacity, (2) modeling stem taper and bark thickness, (3) characterizing tree allometric relationships and growth, (4) assessing forest carbon, and (5) improving forest inventory and model projections. In addition to research, he is devoted to forest biometrics, applied statistics, and geospatial education. Dr. Yang is a faculty member in the UGA Plantation Management Research Cooperative (PMRC) and a faculty fellow at the UGA Institute of Artificial Intelligence (IAI). Dr. Yang currently serves as a Coordinator of 4.01.03 Instruments and Methods in Forest Mensuration in the International Union of Forest Research Organizations (IUFRO) and as an Associate Editor for the Journal of Forestry and Forest Ecosystems.

Curriculum Vitae (CV)


Education

Ph.D. Forest Biometrics. Virginia Tech. Blacksburg, VA. 2019
M.S. Statistics. Virginia Tech. Blacksburg, VA. 2019
M.S. Forest Biometrics. Virginia Tech. Blacksburg, VA. 2016
B.S. Forestry. National Taiwan University. Taipei, Taiwan. 2013

Awards & Honors

Nov. 2024: 2024 Early Career Achievement Award, Northeastern and Southern Mensurationists Conference, Vermont, USA.

Aug. 2024: Forests 2023 Early Career Investigator Award, Forests, Basel, Switzerland.

Apr. 2020: Teaching and Learning Innovation Teaching Support Award, University of Tennessee, TN, USA.

Jan. 2020: Spring Semester Research Assistant Award, University of Tennessee, TN, USA.

Areas of Expertise

Areas of Specialty

Research Areas

Current Research Projects

  • Developing quantitative methodology for predicting tree growth and stand carrying capacity for pantropical island forests. Funded by USDA Forest Service, Forest Inventory and Analysis (FIA)
  • Evaluating and proposing a site productivity estimation methodology for Caribbean forests. Funded by USDA Forest Service, Forest Inventory and Analysis (FIA)
  • Integrating SAE methods with stand-level forest inventory and growth projection for southern pine plantations. Funded by NCASI Foundation, USDA Forest Service and Center for Advanced Forestry Systems
  • Evaluating the differences of growth and yield projections between the Forest Vegetation Simulator (FVS) and commonly-used models for pine plantations in the southeastern U.S. Funded by NCASI Foundation
Publications

Select Peer-Review Articles

  • V´azquez-Veloso A., Yang S., Bullock B. P. and Bravo Oviedo F. (2025) One model to rule them all: A nationwide height diameter model for 91 Spanish forest species . Forest Ecology and Management. 595: 122981.
  • Yang S., Brandeis T.J., and Skiba T. (2025) Comparison of stand-level carbon among national forests and parks in southern Appalachian mountains. Journal of Forestry. 123: 653–674.
  • Yang S., Brandeis T.J., and Helmer H.E., and Marcano-Vega H. (2025) Predicting species-specific diameter growth rate for Caribbean trees using mixed-effects extreme gradient boosting. Forest Ecology and Management. 580: 122520
  • Senevirathne D. M., Yang S., Brandeis C., and Hodges, D.G. (2024) Predicting time-to-harvest in mixed-species forests using a random survival forest algorithm. Forest Ecosystems. 11: 100236.
  • Yang S., and Qiao Y. (2024) Quantifying Bark Thickness and Bark Volume with Alternative Modeling Procedures for Eight Species in the Southeastern US. Forest Ecology and Management. 553(1): 121631.
  • Jha S., Yang S., Brandeis T.J., Kuegler O., and Marcano-Vega H. (2023) Evaluation of Regression Methods and Competition Indices in Characterizing Height-diameter Relationships for Temperate and Pantropical trees. Frontiers in Forests and Global Change. 6: 1282297.
  • Yang S., and Green P.C. (2022) Comparison of Data Grouping Strategies on Prediction Accuracy of Tree-stem Taper for Six Common Species in the Southeastern US. Forests. 13(2) 156.
Teaching
  • FORS 4620/6620 Timber Management
  • FANR 5630/7630 Statistical Software for Natural Resource Management
  • FORS 329 Forest Resource Inventory (University of Tennessee)
  • FWF 313 Measurements and Sampling (University of Tennessee)
  • FORS 593 Forest Biometrics/Inventory (University of Tennessee)
  • FWF 430/530 Introduction to Geographic Information Systems (GIS) for Natural Resources (University of Tennessee)
Labs, Centers, Committees

Harley Langdale Jr. Center for Forest Business

Plantation Management Research Cooperative (PMRC)

News & Announcements

Forest Landowners Association Forest Policy Institute
Forestry student with turkey

Serving the forest business community

The Center for Forest Business serves the forest business community through education, research and service.

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