Multilevel nonlinear mixed-effects models for the modeling of earlywood and latewood microfibril angle

Forest Science

Volumn 51, Issue 4, 2005, Pages 357-371

  Jordan, Lewis ^a   Daniels, Richard F ^a   Clark III, Alexander ^b   He, Rechun ^a  

^a UNIVERSITY OF GEORGIA   (United States)

^b USDA FOREST SERVICE   (United States)

Author keywords

Loblolly pine; Microfibril angle; Mixed effects models; Nonlinear models; Repeated measurements

Indexed keywords

FORESTRY; FUNCTION EVALUATION; LINEAR EQUATIONS; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; REGRESSION ANALYSIS; STATISTICS;

AKAIKE INFORMATION CRITERION (AIC); BAYESIAN INFORMATION CRITERION (BIC); LIKELIHOOD RATIO TESTS (LRT); LINEAR FUNCTIONS;

WOOD;

EQUATIONS; FORESTRY; MATHEMATICAL MODELS; REGRESSION ANALYSIS; STATISTICS; WOOD;

PINUS TAEDA;

EID: 23244457360     PISSN: 0015749X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (24)

1. ADDIS, T., A.H. BUCHANAN, AND J.C.F. WALKER. 1995. A comparison of density and stiffness for predicting wood quality. Or density: The lazy man's guide to wood quality. Journal of the Institute of Wood Science 13(6):539-543.
2. BAILEY, R.L., AND J.L. CLUTTER. 1974. Base-age invariant polymorphic site curves. For. Sci. 20:155-159.
3. BOX, G.E.P., G.M. JENKINS, AND G.C. REINSEL. 1994. Time series analysis: Forecasting and control, 3rd ed., Holden-Day, San Francisco.
4. CAVE, I.D., AND J.C. F WALKER. 1994. Stiffness of wood in fast-grown plantation softwoods: The influence of microfibril angle. Forest Products Journal 44(5):43-48 p.
5. CLARK, A., B. BORDERS, AND R. DANIELS. 2004. Impact of vegetation control and annual fertilization on properties of loblolly pine wood at age 12. Fors. Prod. J. 54(12):90-96 p.
6. CLUTTER, J.L. 1961. The development of compatible analytic models for growth and yield of loblolly pine. PhD dissertation, Duke University, Durham, NC.
7. DANIELS, R.F., R. HE, A. CLARK III, AND R. SOUTER. 2002. Predicting wood properties of loblolly pine from stump to tip and pith to bark. In Proceedings of the fourth workshop. Connection between forest resources and wood quality: Modelling approaches and simulation software, Nepveu, G. (ed.). IUFRO working party S5.01-04. Harrison Hot Springs, B.C. CA. Sept 8-14, 2002. INRA-Centre de Recherches de Nancy, France.
8. DAVIDIAN, M., AND D. M. GILTINAN. 1995. Nonlinear models for repeated measurement data. Chapman and Hall, London, UK.
9. FANG, Z., AND R.L. BAILEY. 2001. Nonlinear mixed effects modeling for slash pine dominant height growth following intensive silvicultural treatments. For. Sci. 47(3):287-300.
10. GREGOIRE, T.G., O. SCHABENBERGER, AND J.P. BARRETT. 1995. Linear modeling of irregularly spaced, unbalanced, longitudinal data from permanent-plot measurements. Can. J. For. Res. 25:137-156.
11. HALL, D.B., AND M. CLUTTER. 2004. Multivariate multilevel non-linear mixed effects models for timber yield predictions. Biometrics 60:16-24.
12. KELLOGG, R.M., E. THYKESON, AND W.G. WARREN. 1975. The influence of wood and fiber properties on kraft converting-paper quality. Tappi 58(12):113-116.
13. KOZAK, A., AND R. KOZAK. 2003. Does cross validation provide additional information in evaluation of regression models? Can. J. For. Res. 33:976-987.
14. LAPPI, J., AND R.L. BAILEY. 1988. A height prediction model with random stand and tree parameters: An alternative to traditional site index methods. For. Sci. 38(2):409-429.
15. LARSON, P.R., D.E. KRETSCHMANN, E. DAVID, A. CLARK, AND J.G. ISEBRANDS. 2001. Formation and properties of juvenile wood in southern pines: A synopsis. Gen. Tech. Rep. FPL-GTR-129. USDA Forest Service, Forest Products Lab., Madison, WI. 42 p.
16. LICHTENEGGER, H., A. REITERER, S.E. STANZL-TSCHEGG, AND P. FRATZL. 1999. Variation of cellulose microfibril angles in softwoods and hardwoods - A possible strategy of mechanical optimization. J. Struct. Biol. 128:257-269.
17. MACDONALD, E., AND J. HUBERT. 2002. A review of the effects of silviculture on timber quality of Sitka spruce. Forestry 75(2):107-138.
18. MEGRAW, R.A. 1985. Wood quality factors in loblolly pine. The influence of tree age, position in tree, and cultural practice on wood specific gravity, fiber length, and fibril angle. Tappi Press, Atlanta, GA. 88 p.
19. MEGRAW, R.A., D. BREMER, G. LEAF, AND J. ROERS. 1999. Stiffness in loblolly pine as a function of ring position and height, and its relationship to microfibril angle and specific gravity. Proceedings of the third workshop - Connection between silviculture and wood quality through modeling approaches. IU-FRO S5.01-04:341-349.
20. PILLOW, M.Y., B.Z. TERRELL, AND C.H. HILLER. 1953. Patterns of variation in fibril angles in loblolly pine. Mimeo, D1953. USDA Forest Service, Washington, DC. 11 p.
21. PINHEIRO, J.C., AND D.M. BATES. 2000. Mixed-effects models in S and S-PLUS. Springer, New York. 528 p.
22. WATSON, A.J., AND H.E. DADSWELL. 1964. Influence of fibre morphology on paper properties. 4. Micellar spiral angle. Appita 17:151-156.
23. WEAR, D.N., AND J.G. GREIS. 2002. Southern forest resource assessment: Summary of findings. J. For. 100(7):6-14.
24. YING, L., D.E. KRETSCHMANN, AND B.A. BENDTSEN. 1994. Longitudinal shrinkage in fast-grown loblolly pine plantation wood. Forest Products Journal 44(1):58-62.