The Korean Journal of Ecology

The Ecological Society of Korea (한국생태학회)
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Prediction of Stand Structure Dynamics for Unthinned Slash Pine Plantations

  • Lee, Young-Jin (Department of Forestry, Kyungpook National University) ;
  • Cho, Hyun-Je (Department of Forest Resources, Taegu Polytechnic Collage) ;
  • Hong, Sung-Cheon (Department of Forestry, Kyungpook National University)
  • Published : 2000.12.01
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Abstract

Diameter distributions describe forest stand structure information. Prediction equations for percentiles of diameter distribution and parameter recovery procedures for the Weibull distribution function based on four percentile equations were applied to develop prediction system of even-aged slash pine stand structure development in terms of the number of stems per diameter class changes. Four percentiles of the cumulative diameter distribution were predicted as a function of stand characteristics. The predicted diameter distributions were tested against the observed diameter distributions using the Kolmogorov-Smirnov two sample test at the ${\alpha}$=0.05 level. Statistically, no significant differences were detected based on the data from 236 evaluation data sets. This stand level diameter distribution prediction system will be useful in slash pine stand structure modeling and in updating forest inventories for the long-term forest management planning.

Keywords

References

  1. Forest Measurement(4th ed.) Avery,T.E.;H.E.Burkhart
  2. For. Sci v.19 Quantifying diameter distributions with Weibull function Bailey,R.L.;T.R.Dell
  3. Proc. 1st Bienn. South. Silv. Res. Conf. Diameter distribution models for respeatedly thinned slash pine plantation Bailey,R.L.;N.C.Abernethy;E.P.Jones,Jr
  4. South. J. Appl. For. v.13 Fertilized midrotation-aged slash pine plantations stand structure and yield prediction models Bailey,R.L.;T.M.Burgan;E.J.Jokela
  5. For. Sci. v.10 A log-normal approach to diameter distributions in evenaged stands Bliss,C.I.;K.A.Reinker
  6. For. Sci. v.33 Percentile-based distributions characterize forest stand tables Borders,B.E.;R.A.Souter;R.L.Bailey;K.D.Ware
  7. South. J. Appl. For. v.16 Predicting diameter distributions for siteprepared loblolly and slash pine plantations Brooks,J.R.;B.E.Borders;R.L.Bailey
  8. For. Sci. v.30 A segmented distribution approach for modeling diameter frequency data Cao,Q.C.;H.E.Burkhart
  9. Timber Management: A Quan-titative Approach Clutter,J.L.;J.C.Fortson;L.V.Pienaar;G.H.Brister;R.L.Bailey
  10. Ph.D. Diss. University of Georgia Dynamics of stand structure in fertilized slash pine plantations Da Silva;J.A.A.
  11. Technometrics v.9 Some percentile estimators for Weibull parameters Dubey,S.D.
  12. Can. J. For. Res. v.7 Statistical distributions for fitting diameter and height data in even-aged stands Hafley,W.L.;H.T.Schreuder
  13. For. Sci. v.29 A generalized framework for projecting forest yield and stand structure using diameter distributions Hyink,D.M.;J.W.Moser,Jr.
  14. Biometrika v.36 Bivariate distributions based on simple translation systems Johnson,N.L.
  15. Biometrics v.47 A bivariate distribution approach to modeling forest diameter distributions at two points in time Knoebel,B.R.;H.E.Burkhart
  16. Ph.D. Diss. University of Georgia Yield of old-field loblolly pine plantations in the Georgia Piedmont Lenhart,J.D.
  17. South. J. Appl. For. v.12 Diameter distribution yield prediction system for unthinned loblolly and slash pine plantations on non-ols-fields in east Texas Lenhart,J.D.
  18. Can. J. For. Res. v.13 Weibull diameter distributions for mixed stands of western conifers Little,S.N.
  19. USDA For. Serv. Res. Pap. v.SO-96 Yield tables and stand structure for loblolly pine plantations in Tennessee, Alabama, and Georgia highlands Smally,G.W.;R.L.Bailey
  20. Can. J. For. Res. v.4 Coniferous stands characterized with the Weibull distribution Schreuder,H.T.;W.T.Swank
  21. J. Stat. Comp. Simulation v.9 A Simulation study of some simple estimators for the three-parameter Weibull distribution Zanakis,S.H.
  22. For. Sci. v.31 An evaluation of percentile and maximum likelihood estimators of Weibull parameters Zarnoch,S.J.;T.R.Dell