EDP Sciences logo
Search
Menu
All issues Volume 61 / No 5 (July-August 2004) Ann. For. Sci., 61 5 (2004) 439-448 References
Free Access
Issue
Ann. For. Sci.
Volume 61, Number 5, July-August 2004
Page(s) 439 - 448
DOI https://doi.org/10.1051/forest:2004037
References of Ann. For. Sci. 61 439-448
  1. Avila O.B., Burkhart H.E., Modelling survival of loblolly pine trees in thinned and unthinned plantations, Can. J. For. Res. 22 (1992) 1878-1882.
  2. Bailey R.L., Borders B.E., Ware K.D., Jones E.P., A compatible model for slash pine plantation survival to density, age, site index and type and intensity of thinning, For. Sci. 31 (1985) 180-189.
  3. Barclay H.J., Layton C.R., Growth and mortality in managed Douglas-fir: relation to a competition index, For. Ecol. Manage. 36 (1990) 187-204.
  4. Belcher D.W., Holdaway M.R., Brand G.J., A description of STEMS. The stand and tree evaluation and modelling system, Gen. Tech. Rep. NC-79, USDA Forest Service, North Central Forest Experimental Station, 1982.
  5. Brendenkamp B.V., The estimation of mortality in stands of Eucalyptus grandis, Festschr. Fac. For. Stellenbosch (1988) 1-15.
  6. Burnham K.P., Anderson D.R., Model selection and inference. A practical information-theoretic approach, Springler-Verlag, New York, 1998.
  7. Clutter J.L., Jones E.P., Prediction of growth after thinning in old-field slash pine plantations, USDA For. Serv. Pap. SE-217, 1980.
  8. Clutter J.L., Fortson J.C., Pienaar L.V., Brister G.H., Bailey R.L., Timber management. A quantitative approach, John Wiley & Sons, New York, 1983.
  9. Cox D.R., Snell E.J., Analysis of binary data, 2nd ed., London, Chapman and Hall, 1989.
  10. Eid T., Tuhus E., Models for individual tree mortality in Norway, For. Ecol. Manage. 154 (2001) 69-84.
  11. Eid T., Øyen B.H., Models for prediction of mortality in even-aged forest, Scand. J. For. Res. 18 (2003) 64-77.
  12. Fridman J., Ståhl G., A three-step approach for modelling tree mortality in Swedish forests, Scand. J. For. Res. 16 (2001) 455-466.
  13. Gadow K.v., Hui G., Modelling Forest Development, Kluwer Academic Publishers, 1999.
  14. García O., Growth modelling - A (re)view, New Zealand Forestry 33 (1988) 14-17.
  15. Hamilton D.A., Brickell J.E., Modeling methods for a two-stage system with continuous responses, Can. J. For. Res. 13 (1983) 1117-1121.
  16. Hann D.W., Development and evaluation of even-aged and uneven-aged ponderosa pine /Arizona fescue stand simulator, USDA For. Serv. Res. Pap. INT-267, 1980.
  17. Hartley H.O., The modified Gauss-Newton method for the fitting of nonlinear regression functions by least squares, Technometrics 3 (1961) 269-280 [MathSciNet].
  18. Hosmer D.W., Lemeshow S., Applied Logistic Regression, 2nd ed., Wiley, New York, 2000.
  19. Lee J.Y., Predicting mortality for even-aged stands of lodgepole pine, For. Chron. 47 (1971) 29-32.
  20. López C.A., Gorgoso J., Castedo F., Rojo A., Rodríguez R., Álvarez J.G., Sánchez F., A height-diameter model for Pinus radiata D. Don in Galicia (Northwest Spain), Ann. For. Sci. 60 (2003) 237-245 [EDP Sciences] [CrossRef].
  21. Lynch T.B., Huebschmann M.M., Murphy P.A., A survival model for individual shortleaf pine trees in even-aged natural stands, in: Proceedings of international conference on integrated resource inventories, Boise, Idaho, 1998, pp. 533-538.
  22. Lynch T.B., Gering L.R., Huebschmann M.M., Murphy P.A., A survival model for shortleaf pine trees growing in uneven-aged stands, in: Proceedings of tenth biennial Southern Silvicultural Research Conference, Shreveport, L.A., 1999, pp. 531-535.
  23. Lynch T.B., Hitch K.L., Huebschmann M.M., Murphy P.A., An individual-tree growth and yield prediction system for even-aged natural shortleaf forests, South. J. Appl. For. 23 (1999) 203-211.
  24. Matney T.G., Sullivan A.D., Compatible stand and stock tables for thinned and unthinned loblolly pine stands, For. Sci. 28 (1982) 161-171.
  25. Monserud R.A., Simulation of forest tree mortality, For. Sci. 22 (1976) 438-444.
  26. Monserud R.A., Sterba H., Modeling individual tree mortality for Austrian forest species, For. Ecol. Manage. 113 (1999) 109-123.
  27. Nagelkerke N.J.D., A note on a general definition of the coefficient of determination, Biometrika 78 (1991) 691-692 [MathSciNet].
  28. Peet R.K., Christensen N.L., Competition and tree death, Bioscience 37 (1987) 586-595.
  29. Peng C., Growth and yield models for uneven-aged stands: past, present and future, For. Ecol. Manage. 132 (2000) 259-279.
  30. Pienaar L.V., Shiver B.D., Survival functions for site-prepared slash pine plantations in the flatwoods of Georgia and northern Florida, South. J. Appl. For. 5 (1981) 59-62.
  31. Pienaar L.V., Page H., Rheney J.W., Yield prediction for mechanically site-prepared slash pine plantations, South. J. Appl. For. 14 (1990) 104-109.
  32. Rennols K., Peace A., Flow models of mortality and yield for unthinned forest stands, Forestry 59 (1986) 47-58.
  33. Sánchez Rodríguez F., Estudio de la calidad de estación, crecimiento, producción y selvicultura de Pinus radiata D. Don en Galicia, Ph.D. thesis, Escuela Politécnica Superior de Lugo, Universidad de Santiago de Compostela, 2001.
  34. SAS Institute Inc., SAS/STAT User's Guide, version 8 edition, SAS Institute Inc., Cary, N.C., 2000.
  35. Tomé M., Falcao A., Amaro A., Globulus V1.0.0: A regionalised growth model for eucalypt plantations in Portugal, in: Ortega A., Gezan S. (Eds.), Proceedings of the 5-7 September IUFRO Conference: Modelling growth of fast-grown tree species, 1997, pp. 138-145.
  36. Van Laar A., Akça A., Forest Mensuration, Cuvillier Verlag, Göttingen, 1997.
  37. Vanclay J.K., Modelling forest growth and yield. Applications to mixed tropical forests, CAB International, Wallingford, 1994.
  38. Weber L., Ek A., Droessler T., Comparison of stochastic and deterministic mortality estimation in an individual tree based stand growth model, Can. J. For. Res. 16 (1986) 1139-1141.
  39. Woollons R.C., Even-aged stand mortality estimation through a two-step regression process, For. Ecol. Manage. 105 (1998) 189-195.
  40. Yao X., Titus S., MacDonald S.E., A generalized logistic model of individual tree mortality for aspen, white spruce and lodgepole pine in Alberta mixedwood forests, Can. J. For. Res. 31 (2001) 283-291 [CrossRef].
  41. Zunino C.A., Ferrando M.T., Modelación del crecimiento y rendimiento de plantaciones de Eucalyptus en Chile. Una primera etapa, in: Ortega A., Gezan S. (Eds.), Proceedings of the 5-7 September IUFRO Conference: Modelling growth of fast-grown tree species, 1997, pp. 155-164.