Skip to main content
Log in

Juvenile diameter distributions of loblolly pine characterized by the two-parameter Weibull function

  • Published:
New Forests Aims and scope Submit manuscript

Abstract

Diameter distributions of juvenile loblolly pine (Pinus taeda L.) were characterized utilizing a two-parameter Weibull distribution to aid in forecasting and simulation of young stands. Juvenile diameter distributions were studied to gain insight into the effects of various stand-level factors. Results show that diameter distributions in juvenile loblolly pine stands can be successfully characterized with the two-parameter Weibull function. Repeated measures analysis detected significant planting density, age, and age by planting density interaction effects for the scale and shape parameter estimates from the two-parameter Weibull distribution. Using parameter recovery techniques, estimated diameter distributions were derived from easily attainable stand-level characteristics (i.e. basal area per hectare, planting density, age, and quadratic mean diameter). A thorough understanding of juvenile diameter distributions should prove especially useful for operational planning of stands on short rotations that require estimates of productivity at early ages.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Amateis R.L., Burkhart H.E. and Zedaker S.M. 1988. Experimental design and early analyses for a set of loblolly pine spacing trials. USDA Forest Service General Technical Report NC-120 North Central Forest Experimental. Station, pp. 1058–1065.

  2. R.L. Bailey T.R. Dell (1973) ArticleTitleQuantifying diameter distributions with the Weibull function For. Sci. 19 97–104

    Google Scholar 

  3. R.L. Bailey T.M. Burgan E.J. Jokela (1989) ArticleTitleFertilized midrotation-aged slash pine plantations – stand structure and yield prediction models South. J. Appl. For. 13 76–80

    Google Scholar 

  4. Baldwin V.C. and Feduccia D.P. 1987. Loblolly pine growth and yield prediction for managed West Gulf plantations. USDA Forest Service Research Paper SO-236 South. Southern Forest Experimental Station, 27 p.

  5. J.R. Brooks B.E. Borders R.L. Bailey (1992) ArticleTitlePredicting diameter distributions for site-prepared loblolly and slash pine plantations South. J. Appl. For. 16 130–133

    Google Scholar 

  6. T.E. Burk J.D. Newberry (1984) ArticleTitleA simple algorithm for moment-based recovery of Weibull distribution parameters For. Sci. 30 329–332

    Google Scholar 

  7. Burkhart H.E., Farrar K.D., Amateis R.L. and Daniels R.F. 1987. Simulation of individual tree growth and stand development in loblolly pine plantations on cutover, site-prepared areas. School of Forestry and Wildlife Resources, Virginia Polytechnic Institute and State University, Publication FWS-3-72, 47 p.

  8. Q.V. Cao H.E. Burkhart (1984) ArticleTitleA segmented distribution approach for modeling diameter frequency data For. Sci. 30 129–137

    Google Scholar 

  9. R.B. D’Agostino M.A. Stephens (Eds) (1986) Goodness-of-Fit Techniques Marcel Dekker New York, NY

    Google Scholar 

  10. W.L. Hafley H.T. Schreuder (1977) ArticleTitleStatistical distributions for fitting diameter and height data in even-aged stands Can. J. For. Res. 7 481–487

    Google Scholar 

  11. D.M. Hyink J.W. Moser (1983) ArticleTitleA generalized framework for projecting forest yield and stand structure using diameter distributions For. Sci. 29 85–95

    Google Scholar 

  12. J.D. Lenhart (1988) ArticleTitleDiameter-distribution yield-prediction system for unthinned loblolly and slash pine plantations on non-old-fields in East Texas South. J. Appl. For. 12 239–242

    Google Scholar 

  13. C. Lin P.M. Morse (1975) ArticleTitleA compact design for spacing experiments Biometrics 31 661–671

    Google Scholar 

  14. C.G. Lorimer A.G. Krug (1983) ArticleTitleDiameter distributions in even-aged stands of shade-tolerant and midtolerant tree species Am. Midland Naturalist 109 331–345

    Google Scholar 

  15. J.P. McTague R.L. Bailey (1987) ArticleTitleCompatible basal area and diameter distribution models for thinned loblolly pine plantations in Santa CatarinaBrazil For. Sci. 33 43–51

    Google Scholar 

  16. D.N.P. Murthy M. Xie R. Jiang (2004) Weibull Models John Wiley & Sons Hoboken, NJ

    Google Scholar 

  17. P.J. Radtke H.E. Burkhart (1999) ArticleTitleBasal area growth and crown closure in a loblolly pine spacing trial For. Sci. 45 35–44

    Google Scholar 

  18. K. Rennolls D.N. Geary T.J.D. Rollinson (1985) ArticleTitleCharacterizing diameter distributions by the use of the Weibull distribution Forestry 58 57–66

    Google Scholar 

  19. O. Schabenberger F.J. Pierce (2002) Contemporary Statistical Models for the Plant and Soil Sciences CRC Press Boca Raton, FL

    Google Scholar 

  20. M. Sharma H.E. Burkhart R.L. Amateis (2002) ArticleTitleModeling the effect of density on the growth of loblolly pine trees South. J. Appl. For. 26 124–133

    Google Scholar 

  21. A. Zellner (1962) ArticleTitleAn efficient method of estimating seemingly unrelated regressions and tests for aggregation bias J. Am. Stat. Assoc. 57 348–368

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bronson P. Bullock.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bullock, B.P., Burkhart, H.E. Juvenile diameter distributions of loblolly pine characterized by the two-parameter Weibull function. New Forest 29, 233–244 (2005). https://doi.org/10.1007/s11056-005-5651-5

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11056-005-5651-5

Keywords

Navigation