Dr. Harold Burkhart

B.S., Oklahoma State University (1965); M.S., University of Georgia (1967); Ph.D., University of Georgia (1969)

 Modeling forest stand dynamics, growth and yield; applying quantitative analysis techniques to forestry problems.  

  • FREC 5224 Forest Biometry
  • FREC 5494 Natural Resource Research Procedures

Cooperative Research Program in Growth and Yield of Managed Stands of Loblolly Pine (Twenty industrial forestry firms plus Virginia Department of Forestry and USDA Forest Service, 1979-present): The objective of this Cooperative is to develop loblolly pine tree growth and stand development models sufficiently flexible to account for the effects of intensive cultural practices, with output sufficiently detailed to allow for analyses of a full range of utilization options. The Cooperative maintains three large field studies: (1) a set of designed spacing trials, (2) growth plots in cloned plantings, (3) a region-wide set of growth plots in intensively managed plantations, and (4) two pruning experiments and is part of the NSF Center for Advanced Forestry Systems as well as the regional PINEMAP project.

  • Arias-Rodil, M., U. Diéguez-Aranda, and H.E. Burkhart. 2017. Effects of measurement error in total tree height and upper-stem diameter on stem volume prediction. For. Sci. 63:250-260.
  • Burkhart, H.E., A.M. Brunner, B.J. Stanton, R.A. Shuren, R.L. Amateis, and J.L. Creighton. 2017. An assessment of potential of hybrid poplar for planting in the Virginia Piedmont. New Forests 48:479-490.
  • Scolforo, H.F., J.R.S. Scolforo, J.L. Stape, J.P. McTague, H.E. Burkhart, J. McCarter, F. Castro Neto, R.A. Loos, and R.C. Sartório. 2017. Incorporating rainfall data to better plan eucalyptus clones deployment in eastern Brazil. For. Ecol. and Manage. 391:145-153.
  • Scolforo, H.F., J.R.S. Scolforo, C.R. Thiersch, M.F. Tiersch, J.P. McTague, H.E. Burkhart, A.C. Ferraz Filho, J.M Mello, and J. Roise. 2017. A new model of tropical tree diameter growth rate and its application to identify fast-growing native tree species.  For. Ecol. and Manage. 400:578-586.
  • Yang, S. and H.E. Burkhart. 2017. Estimation of carrying capacity in loblolly pine (Pinus taeda L.). For. Ecol. and Manage. 385:167-176.
  • Scolforo, H.F., F. Castro Neto, J.R.S. Scolforo, H.E. Burkhart, J.P. McTague, M.R. Raimundo, R.A. Loos, S. Foneeca, and R.C. Sartório. 2016. Modeling dominant height growth of eucalyptus plantations with parameters conditioned to climate variations. For. Ecol. and Manage. 380:182-195.
  • Thapa, R., H.E. Burkhart, J. Li, and Y. Hong. 2016. Modeling clustered survival times of loblolly pine with time-dependent covariates and shared frailties. J. Agric., Biol., and Env. Stat. 21:92-110.
  • Allen, M.G. and H.E. Burkhart. 2015. A comparison of alternative data sources for modeling site index in loblolly pine plantations. Can. J. For. Res. 45:1026-1033.
  • Gyawali, N. and H.E. Burkhart. 2015. General response functions to silvicultural treatments in loblolly pine plantations. Can. J. For. Res. 45:252-265.
  • Li, J., Y. Hong, R. thaps and H.E. Burkhart. 2015. Survival analysis of loblolly pine trees with spatially correlated random effects. Jour. Am. Stat. Assoc. 110(510):486-502.
  • Sabatia, C.O. and H.E. Burkhart. 2015. On the use of upper stem diameters to localize a segmented taper equation to new trees. For. Sci. 61:411-423.
  • Thapa, R. and H.E. Burkhart. 2015. Modeling stand-level mortality of loblolly pine (Pinus taeda L.) using stand, climate and soil variables. For. Sci. 61-834-846.
  • Sabatia, C.O. and H.E. Burkhart. 2014. Predicting site index of plantation loblolly pine from biophysical variables. For. Ecol. and Manage. 326:142-156.
  • Amateis, R.L. and H.E. Burkhart. 2013. Relating quantity, quality and value of lumber to planting density for loblolly pine plantations. South. J. Appl. For. 37:97-101.
  • Amateis, R.L., H.E. Burkhart and G.Y. Jeong. 2013. Modulus of elasticity declines with decreasing planning density for loblolly pine (Pinus taeda) plantations. Ann. For. Sci. 70:743-750.
  • Burkhart, H.E. 2013. Comparison of maximum size-density relationships based on alternate stand attributes for predicting tree numbers and stand growth. For. Ecol. and Manag. 289:404-408.
  • Sabatia, C.O. and H.E. Burkhart. 2013. Modeling height development of loblolly pine genetic varieties. For. Sci. 59:267-277.
  • Sabatia, C.O. and H.E. Burkhart. 2013. Height and diameter relationships and
    distributions in loblolly pine stands of enhanced genetic material. For. Sci. 59:278-289.
  • Sabatia, C.O., T.R. Fox and H.E. Burkhart. 2013. Extending a model system to predict biomass in mixed-species Southern Appalachian forests. South.J. Appl. For. 37:122-126.
  • Amateis, R L. and H.E. Burkhart. 2012. Rotation - age results from a loblolly pine spacing trial. South. J. Appl. For. 36:11-18.
  • Antón-Fernández, C., H.E. Burkhart and R.L. Amateis. 2012. Modeling the effects of initial spacing on stand basal area development of loblolly pine. For. Sci. 58:95-105.
  • Russell, M.B., H.E. Burkhart, R.L. Amateis and S.P. Prisley. 2012. Regional locale and its influence on the prediction of loblolly pine diameter distributions. South J. Appl. For. 36:198-203.
  • Sabatia, C.O., and H.E. Burkhart. 2012. Competition among loblolly pine trees: does genetic variability of the trees in a stand matter? For. Ecol. and Manage. 263:122-130.
  • VanderSchaaf, C.L. and H.E. Burkhart. 2012. Development of density-specific density management diagrams for loblolly pine. South. J. Appl. For. 36:126-129.
  • Amateis, R. L. and H. E. Burkhart. 2011. Growth of young loblolly pine trees following pruning.  Forest Ecol. Manage. 262:2338-2343.
  • Antón-Fernández, C., H.E. Burkhart, M.R. Strub and R.L. Amateis. 2011. Effects of initial spacing on height development of loblolly pine. For. Sci. 57:201-211.
  • Garcia, O., H. E. Burkhart and R. L. Amateis. 2011. A biologically-consistent stand growth model for loblolly pine in the Piedmont physiographic region, USA. Forest Ecol. Manage. 262:2035-2041.
  • Served as Chairman, Blue Ridge Chapter; Chairman, Virginia Division; Regional Technology Coordinator; Chairman, Biometrics Working Group; Member of various committees, SAF
  • Leader, IUFRO S4.01 Mensuration, Growth and Yield; Deputy Leader, IUFRO Division 4; Deputy Leader S4.11 Statistical Methods, Mathematics and Computers
  • Past Editor of Southern Journal of Applied Forestry and Forest Science
  • International Union of Forestry Research Organizations Scientific Achievement Award
  • J. Shelton Horsley Research Award, Virginia Academy of Science
  • Virginia Tech Alumni Award for Research Excellence
  • Virginia Tech Alumni Award for Excellence in Graduate Advising
  • State Council of Higher Education for Virginia Outstanding Faculty Award
  • Distinguished Service to Forestry Award, Appalachian SAF
  • Barrington Moore Memorial Award, SAF
  • Distinguished Agriculture Alumnus Award, Oklahoma State University
  • Distinguished Statistical Ecologist Award, INTECOL
  • Forest Champion of the year, Forest Landowners Association 2013
  • Virginia Outstanding Scientist 2013
  • Elected a Fellow in the American Association for the Advancement of Science and the Society of American Foresters

Dr. Harold Burkhart

Dr. Harold Burkhart
Dr. Harold Burkhart
  • 540-231-6952
  • burkhart@vt.edu
  • 319 Cheatham Hall
    310 West Campus Dr.
    Blacksburg, VA 24061