Predicting the lumber volume recovery of Picea mariana using parametric and non-parametric regression methods

Scandinavian Journal of Forest Research

Volumn 21, Issue 2, 2006, Pages 158-166

  Zhang, S Y ^a   Liu, Chuangmin ^a  

^a FORINTEK CANADA CORP   (Canada)

Author keywords

Black spruce; Local regression; Product recovery; Sawing simulation; Tree characteristics

Indexed keywords

COMPUTER SIMULATION; MATHEMATICAL MODELS; POLYNOMIAL APPROXIMATION; REGRESSION ANALYSIS;

LOCAL REGRESSION; PRODUCT RECOVERY; SAWING SIMULATION; TREE CHARACTERISTICS;

PLANTS (BOTANY);

MATHEMATICAL MODELS; PICEA MARIANA; PLANTS; REGRESSION ANALYSIS; SIMULATION;

PICEA MARIANA;

EID: 33745686113     PISSN: 02827581     EISSN: 16511891     Source Type: Journal    
DOI: 10.1080/02827580500531791     Document Type: Article

References (35)

1. Aubry, C. A., Adams, W. T. & Fahey, T. D. (1998). Determination of relative economic weights for multitrait selection in coastal Douglas-fir. Canadian Journal of Forest Research, 28, 1164-1170.
2. Beauregard, R. L., Gazo, R. & Ball, R. D. (2002). Grade recovery, value, and return-to-log for the production of NZ visual grades (cuttings and framing) and Australian machine stress grades. Wood and Fiber Science, 34, 485-502.
3. Briggs, D. G. (1989). Tree value system: Description and assumptions (General Tech. Rep. PNW-GTR-239). Pacific Northwest Research Station, USDA Forest Service.
4. CCFM (1996). Forest Regeneration in Canada 1975-1992. Ottawa, Ontario, Canada.
5. Clark, A. III, Saucier, J. R., Baldwin, V. C. & Bower, D. R. (1994). Effect of initial spacing and thinning on lumber grade, yield and strength of loblolly pine. Forest Products Journal, 44, 14-20.
6. Cleveland, W. S. (1979). Robust locally weighted regression and smoothing scatterplots. Journal of the American Statistical Association, 74, 829-836.
7. Cleveland, W. S. & Devlin, S. J. (1988). Locally weighted regression: An approach to regression analysis by local fitting. Journal of the American Statistical Association, 74, 829-836.
8. Cleveland, W. S. & Grosse, E. (1991). Computational methods for local regression. Statistics and Computing, 1, 47-62.
9. Cleveland, W. S., Devlin, S. J. & Grosse, E. (1988). Regression by local fitting. Journal of Econometrics, 37, 87-114.
10. Ernst, S. & Hann, D. W. (1984). Volume and value prediction for young-growth true fir trees. Forest Science, 30, 871-882.
11. Fahey, T. D. (1980). Grading second-growth Douglas-fir by basic tree measurements. Journal of Forestry, 4, 206-206.
12. Forintek Canada Corporation (1994). Optitek: User's guide. Sainte-Foy, Quebec: Forintek Canada Corporation.
13. Harless, T. E. G., Wagner, F. G., Steele, P. H., Taylor, F. W., Yadama, V. & MiMillin, C. W. (1991). Methodology for locating defects within hardwood logs and determining their impacts on lumber-value yield. Forest Products Journal, 41 (4), 25-30.
14. Howard, A. F. & Gasson, R. (1989). Model for predicting yields of grade lumber from lodgepole pine sawlogs. Forest Products Journal, 39(4), 51-56.
15. Husch, B., Miller, C. I. & Beers, T. W. (1982). Forest mensuration (3rd ed.) New York: John Wiley and Sons.
16. Kellogg, R. M. & Warren, W. G. (1984). Evaluating western hemlock stem characteristics in terms of lumber value. Wood and Fiber Science, 16, 583-597.
17. Leduc, D. J., Matney, T. G., Belli, K. L. & Baldwin, V. C., Jr (2001). Predicting diameter distributions of longleaf pine plantations: A comparison between artificial neural networks and other accepted methodologies (Research Paper SRS-25). USDA Forest Service, Southern Research Station.
18. Malinen, J., Maltamo, M. & Verkasalo, E. (2003). Predicting the internal quality and value of Norway spruce trees by using non-parametric nearest neighbor methods. Forest Products Journal, 53 (4), 85-94.
19. Middleton, G. R. & Munro, B. D. (1989). Log and lumber yields. In R. M. Kellogg (Ed.), Second-growth Douglas-fir: Its management and conversion value (Special Publication SP-32). Vancouver, BC: Forintek Canada Corporation.
20. Middleton, G. R., Jozsa, L. A., Palka, L. C., Munro, B. D. & Sen, P. (1996). Lodgepole pine product yields related to differences in stand density (Western Lab. Special Publication SP-41). Vancouver, BC: Forintek Canada Corporation.
21. Nagubadi, R. V., Fight, R. D. & Barbour, R. J. (2003). Value a log: Alternative approaches (Research Note PNW-RN-541). USDA Forest Service.
22. Oberg, J. C. (1989). Impacts on lumber and panel products. Proceedings of Southern Plantation Wood Quality Workshop, Athens, GA, USA, 6-7 June 1989.
23. SAS Institue. (1999). SAS/STAT user's guide (Version 8). Cary, NC: SAS Institute.
24. Shi, R., Steele, P. H. & Wagner, F. G. (1990). Influence of log length and taper on estimation of hardwood BOF position. Wood and Fiber Science, 22, 142-148.
25. Steele, P. H. (1984). Factors determining lumber recovery in sawmilling (General Technical Report FPL-39). Madison, WI: Forest Products Laboratory.
26. Steele, P. H., Harless, T. E. G., Wagner, F. G., Kumar, L. & Taylor, F. W. (1994). Increased lumber value from optimum orientation of internal defects with respect to sawing pattern in hardwood sawlogs. Forest Products Journal, 44 (3), 69-72.
27. Stevens, J. A. & Barbour, R. J. (2000). Managing the stands of the future based on the lessons of the past: Estimating western timber species product recovery by using historical data (Research Note PNW-RN-528). USDA Forest Service.
28. Wagner, F. G. & Taylor, F. W. (1993). Lower lumber recovery at southern pine sawmills may be due to misshapen sawlogs. Forest Products Journal, 43 (3), 53-55.
29. Zhang, S. Y. & Chauret, G. (2001). Impact of initial spacing on tree and wood characteristics, product quality and value recovery in black spruce (Picea mariana) (CFS Rep. No. 35). Sainte-Foy, Quebec: Forintek Canada Corporation.
30. Zhang, S. Y. & Tong, Q. J. (2005). Modeling lumber recovery in relation to selected tree characteristics in jack pine using sawing simulator Optitek. Annals of Forest Science, 62, 219-228.
31. Zhang, S. Y., Corneau, Y. & Chauret, G. (1998). Impact of precommercial thinning on tree and wood characteristics, product quality and value in balsam fir (CFS Rep. No. 39). Sainte-Foy, Quebec: Forintek Canada Corporation.
32. Zhang, S. Y., Chauret, G. & Swift, E. (2001). Maximizing the value of jack pine through intensive forest management (CFS Rep. No. 3171), Sainte-Foy, Quebec, Canada: Forintek Canada Corporation.
33. Zhang, S. Y., Chauret, G., Ren, H. Q. & Desjardins, R. (2002). Impact of plantation black spruce initial spacing on lumber grade yield, bending properties and MSR yield. Wood and Fiber Science, 34, 460-475.
34. Zhang, S. Y., Lei, Y. C. & Bowling, C. (2005). Modelling tree growth and stem quality in relation to initial spacing in black spruce. Northern Journal of Applied Forestry, 22, 85-93.
35. Zheng, Y., Wagner, F. G., Steele, P. H. & Ji, Z. D. (1989). Two-dimensional geometric theory for maximizing lumber yield from logs. Wood and Fiber Science, 21, 91-100.