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Department of Natural Resource Ecology and Management

NREM Faculty - Thomas B. Lynch

Professor

Contact
017 Agricultural Hall (office)
008C Agricultural Hall (address)
Stillwater, OK 74078
(405) 744-5447
tom.lynch@okstate.edu

Educational Background
BS: Virginia Polytechnic Inst. and State Univ. 1975, Forestry
MS: Purdue University, 1980, Statistics; Virginia Polytechnic Inst. and State Univ., 1977, Forestry
PhD: Purdue University, 1982, Forestry

Links

Teaching

  • NREM 2103: Forest Measurements I
  • NREM 3063: Natural Resource Biometrics
  • NREM 3102: Forest Measurements II
  • NREM 5133*: Advance Topics in Forest Biometrics

 

Research Interests:

  • Modeling growth and development of naturally-occurring shortleaf pine forests

  • Sampling and monitoring trees and shrubs in great plains riparian ecosystems

  • Evaluation of restoration of shortleaf pine - bluestem forest type (pre-settlement forest type)

  • Polyareal plot sampling and growth estimation from permanently established sample points

  • Distance sampling for forest inventory

  • Estimation of volume, product yield, weight, center of gravity and moment of inertia for individual tree-length stems and logs

  • Growth and development of intensively managed loblolly pine plantations

Honors and Awards

  • 2017 Southern Mensutationists Achievement Award
  • Forestry Science Research Award, Ouachita Society of American Foresters, 2008

  • USDA Certificate of Appreciation for contributions to shortleaf pine growth and yield research, awarded July 28, 1993

  • USDA Certificate of Appreciation for contributions to the peer review process for Forest Science, awarded August 8, 2003

  • Certificate of Appreciation for service to the Society of American Foresters as Associate Editor for Forest Measurements of the Southern Journal of Applied Forestry 1996-2002, awarded July 30, 2002

  • Certified Forester No. 1141 (CF), Society of American Foresters, 2002, recertified 2005

  • Certified Toastmaster (CTM), Toastmasters International, 1991

Professional Memberships

  • Society of American Foresters, Certified Forester (CF)

  • Xi Sigma Pi

  • Gamma Sigma Delta

  • Phi Sigma Society

  • Fellowship of Christian Faculty and Staff

  • Sigma Xi, The Scientific Research Society, President, OSU Chapter 2005-2006

  • American Statistical Association

  • Associate Editor for Forest Science 2003-2012

Recent Publications (since 2015)

1. Lynch, T.B., Zhao, D., Harges, W., and J.P. McTague.  2017.  Deriving compatible taper functions from volume ratio equations based on upper-stem height.  Can. Jour. For. Res. dx.doi.org/10.1139/cjfr-2017-0108

2. Lynch, T.B.  2017.  Optimal sample size and plot size or point sampling factor based on cost-plus-loss using the Fairfield Smith relationship for plot size.  Forestry 2017; 90,697-709 doi:10.1093/forestry/cpx024

3. Lynch, T.B.  2017.  Optimal plot size or point sample factor for  a fixed total cost using the Fairfield Smith relation of plot size to variance.  Forestry 2017; 90, 211-218, doi:10.1093/forestry/cpw038

4. Lynch, T.B., Saud, P., Dipesh, K.C., and Will, R.E.  2016.  Plantation site index comparisons for shortleaf pine and loblolly pine in Oklahoma, USA. For. Sci. 62(5): 546-552. http://dx.doi.org/10.5849/forsci.15-140

5. Saud, P., Lynch, T.B., Anup, K.C., and Guldin, J.M.  2016.  Using quadratic mean diameter and relative spacing index to enhance height –diameter and crown ratio models fitted to longitudinal data.  Forestry 2016;. 89,215-229,  doi: 10.1093/forestry/cpw004

6. Stevenson, D.J., Lynch, T.B., Saud, P. Heinemann, R. Holeman, R. Wilson, D, Anderson, K, Cerny, C. and Guldin, J.M., 2016.  Winter in the Ouachitas - a Severe Winter Storm Signature in Pinus echinata in the Ouachita Mountains of Oklahoma and Arkansas, USA.  Dendrochronologia. 37(2016):107-115.

7. Lynch, T.B.  2015.  Voronoi polygons quantify bias when sampling the nearest plant.  Can. Jour. For. Res. 45:1853-1859.

8. Lynch, T.B.  2015.   Effects of measurement error on Monte Carlo integration estimators of tree volume: sample diameters measured at random upper-stem heights.  Can. Jour. For. Res. 45:471-479.

9. Lynch, T.B.  2015.  Effects of measurement error on Monte Carlo integration estimators of tree volume: critical height sampling and vertical Monte Carlo methods.  Can. Jour. For. Res. 45:463-470.

10. Dipesh, K.C., Will, R.E., Hennessey, T.C., Lynch, T.B., Heinemann, R. and Holeman, R.  2015.  Effects of simulated ice storm damage on mid-rotation loblolly pine stands.  For. Sci. 61:774-749.

11. Dipesh, KC, Will, R.E., Lynch, T.B. Heinemann, R. and Holeman, R.  2015.  Comparison of loblolly, shortleaf, and pitch x loblolly pine plantations growing in Oklahoms.  Forest Sci. 61:540-547.

Recent Publications (since 2005)

  • Lynch, T.B. and J.H. Gove.  2014.  The unbiasedness of a generalized mirage boundary correction method for Monte Carlo integration estimators of volume.  Can. Jour. For. Res 44:810-819.

  • Lynch, T.B.  2014.  Use of an antithetic variate for better location of upper-stem height measurements with critical height and importance sampling in horizontal line sampling.  For. Sci. 60(1): 288-297.   http://dx.doi.org/10.5849/forsci.12-149.

  • Lynch, T.B. and J.H. Gove.  2013.  An antithetic variate to facilitate upper-stem height measurements for critical height sampling with importance sampling.  Can. Jour. For. Res. 43:1151-1161. dx.doi.org/10.1139/cjfr-2013-0279

  • Lynch, T.B., Budhathoki, C. and R.F. Wittwer.  2012.  Relationships between height, diameter and crown for eastern cottonwood (Populus deloides) in a Great Plains riparian ecosystem.  West. Jour Appl. For. 27(4):176-186.

  • Lynch, T.B.  2012. A mirage boundary correction method for distance sampling.  Can. Jour. For. Res. 42(2): 272-278.

  • Lynch, T.B.  2012.  On moments of inertia for logs and tree segments.  For. Sci. 58(4):399-404.

  • Zhang, D., Huebschmann, M.M., Lynch, T.B., and J.M. Guldin.  2012.  Growth projection and valuation of restoration of the shortleaf pine-bluestem grass ecosystem.  Forest Policy and Econ. 20(2012):20-15.

  • Lynch, T.B. and D. Zhang. In press. On relative maxima of diameter growth, basal area growth, volume growth and mean annual increment for individual trees. For. Sci.

  • DeSantis, R.D., Hallgren, S.W., Lynch, T.B., Burton, J.A., and M.W. Palmer. 2010. Long-term directional changes in upland Quercus forests throughout Oklahoma, USA. J. Vegetation Sci. 21:606-615.

  • Will, R.E., Hennessey, T.C., Lynch, T.B., Heinemann, B. and R. Holeman.  2010.  Effects of planting density and seed source on loblolly pine stands in southeastern Oklahoma.  For. Sci. 56(5):437-443

  • Lynch, T.B., Will, R.E., Hennessey, T.C., Heinemann, R. A. and R.T. Holeman. 2010. Relationships among dbh and loblolly pine attributes from local and non-local seed-sources near the western edge of its natural range. South. Jour Appl For. 34 (4):149-153.

  • Lynch, T.B. 2009. Note on the variance of radial sampling strategies with random versus purposively-located pivot-points. For. Sci. 55 (5):467-470.

  • Sabatia, C.O., Will, R.E. and T.B. Lynch. 2009. Effect of thinning on aboveground biomass accumulation and distribution in naturally regenerated shortleaf pine. South. Jour. Appl. For. 33(4):188-192.

  • Sabatia, C.O., Lynch, T.B. and R.E. Will.  2008.  Tree biomass equations for naturally regenerated shortleaf pine.  South. Jour. Appl. For.  32(4):163-167.

  • Lynch, T.B. 2008. Variance reduction for radial line sampling coverage estimators. For. Sci. 54(2):148-157

  • Budhathoki, C., Lynch, T.B., and J.M. Guldin. 2008. Nonlinear Mixed Modeling of Basal Area Growth for Shortleaf Pine. For. Ecol. And Manage. For. Ecol. and Manage. 255:3440-3446.

  • Budhathoki, C., Lynch, T.B., and J.M. Guldin. 2008. A Mixed-Effects Model for the Dbh-Height Relationship of Shortleaf Pine (Pinus echinata Mill.). South. Jour. Appl. For. 32(1):5-11.

  • Lynch, T.B., Wittwer, R.F., Stevenson, D.J. and M.M Huebschmann. 2007. A maximum size-density relationship between Lorey’s mean height and trees per hectare. For. Sci. 53(4):478-485.

  • Lynch, T.B. 2006. Variance reduction for sector sampling. For. Sci. 52(3):251-261.

  • Lynch, T.B. 2006. Horizontal line sampling for riparian forests without land area estimation. For. Sci. 52( 2): 119-126.

  • Lynch, T.B., Holley, A.G., and D.J. Stevenson. 2005. A random parameter dbh-height model for cherrybark oak. South. Jour. Appl. For. 29(1):22-26.

  • Clark, S.L., Hallgren, S.W., Stahle, D.W. and T.B. Lynch. 2005. Characteristics of the Keystone Ancient Forest Preserve, an old-growth forest in the Cross Timbers of Oklahoma, USA. Natural Areas Jour. 25(2):165-175.