Calibrating predicted diameter distribution with additional information

Forest Science

Volumn 46, Issue 3, 2000, Pages 390-396

  Kangas, Annika ^a   Maltamo, Matti ^a  

^a FINNISH FOREST RESEARCH INSTITUTE   (Finland)

Author keywords

Calibration estimation; Diameter distribution prediction; Goal programming; Linear programming; Nonlinear optimization; Percentiles; Weibull

Indexed keywords

EID: 0033859626     PISSN: 0015749X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (26)

1. BAILEY, R.L. AND T.R. DELL. 1973. Quantifying diameter distribution with the Weibull-function. For. Sci. 19: 97-104.
2. BAILEY, R.L., N.C. ABERNATHY, AND E.P. JONES. 1981. Diameter distributions models for repeatedly thinned slash pine plantations. USDA For. Serv. Gen. Tech. Rep. SO-34.
3. Borders, B.E., and W.D. Patterson. 1990. Projecting stand tables: A comparison of the Weibull diameter distribution method, a percentile-based projection method, and a basal area growth projection method. For. Sci. 36:413-424.
4. BORDERS, B.E., R.A. SOUTER, R.L. BAILEY, AND K.D. WARE. 1987. Percentile-based distributions characterize forest stand tables. For. Sci. 33:570-576.
5. BURK, T.E., AND J.D. NEWBERRY. 1984. A simple algorithm for moment-based recovery of Weibull distribution parameters. For. Sci. 30:329-332.
6. BURKHART, H.E., B.R. KNOEBEL, AND D.E. BECK. 1982. A growth and yield model for thinned stands of yellow-poplar. Paper presented at IUFRO subject group S4.01 meeting, Vienna, Austria.
7. CAO, Q.V., AND H.E. BURKHART. 1984. A segmented distribution approach for modelling diameter frequency data. For. Sci. 30:129-137.
8. CLUTTER, J.L., J.C. FORTSON, L.V. PIENAAR, G.H. BRISTER, AND R.L. BAILEY. 1983. Timber management: A quantitative approach. Wiley, New York. 333 p.
9. DEVILLE, J-C., AND C-E. SÄRNDAL. 1992. Calibration estimators in survey sampling. J. Am. Stat. Assoc. 87:376-382.
10. GOVE, J.H., AND G.P. PATIL. 1998. Modeling basal area-size distribution of forest stands: a compatible approach. For. Sci. 44:285-297.
11. GUSTAVSEN, H.G., P. ROIKO-JOKELA, AND M. VARMOLA. 1988. Kivennäismaiden talousmetsien pysyvät (INKA ja TINKA) kokeet: Suunnitelmat, mittausmenetelmät ja aineistojen rakenteet. Metsäntutkimuslaitoksen tiedonantoja 292. 212 p.
12. HAARA, A., M. MALTAMO, AND T. TOKOLA. 1997. The k-nearest-neighbour method for estimating basal area diameter distribution. Scand. J. For. Res. 12:200-208.
13. HAFLEY, W.L., AND H.T. SCHREUDER. 1977. Statistical distributions for fitting diameter and height data in even-aged stands. Can. J. For. Res. 7:481-487.
14. HYINK, D.M. 1980. Diameter distribution approaches to growth and yield modeling. P. 138-163 in Forecasting stand dynamics, Brown, K.M., and F.D. Clarke, eds. Sch. For., Lakehead Univ, Thunderbay, Ontario.
15. HYINK, D.M., AND J.W. MOSER. 1983. A generalized framework for projecting forest yield and stand structure using diameter distributions. For. Sci. 29:85-95.
16. KILKKI, P., M. MALTAMO, R. MYKKÄNEN, AND R. PÄIVINEN. 1989. Use of the Weibull function in estimating the basal-area diameter distribution. Silva Fennica 23:311-318.
17. LAASASENAHO, J. 1982. Taper curve and volume function for pine, spruce and birch. Commun. Inst. For. Fenn. 108:1-74.
18. LETHER, F.G. 1984. A FORTRAN implementation of Späth's interpolatory rational spline: Drawing a taut smooth curve through data points. Tech. Rep. WL 22, Dep. of Math., Univ. of Georgia, Athens. 15 p. + appendix.
19. LOETSCH, F., F. ZÖHRER, AND K.E. HALLER. 1973. Forest inventory 2. BLV. Verlagsgesellschaft, München. 469 p.
20. MALTAMO, M. 1998. Basal area diameter distribution in estimating the quantity and structure of growing stock. D. Sc. (Agric. and For.) thesis summary. Univ. of Joensuu. Metsätieteellisen tiedekunnan tiedonantoja 67. 43 p.
21. MALTAMO, M., AND A. KANGAS. 1998. Methods based on k-nearest neighbor regression in estimation of basal area diameter distribution. Can. J. For. Res. 28:1107-1115.
22. MALTAMO, M., A. KANGAS, J. UUTTERA, T. TORNIAINEN, AND J. SARAMÄKI. 2000. Comparison of percentile based prediction methods and Weibull distribution in describing diameter distribution of heterogenous Scots Pine stands. For. Ecol. Manage. (ms. accepted)
23. NEWBY, M. 1980. The properties of moment estimators for the Weibull distribution based on the sample coefficient of variation. Technometrics 22:187-194.
24. SIITONEN, M. 1993. Experiences in the use of forest management planning models. Silva Fennica 27:167-178.
25. SPÄTH, H. 1974. Spline algorithms forcurves and surfaces, Utilitas Mathematica Publishing, Inc., Winnipeg, Canada.
26. TAHA, H.A. 1997. Operations research. An introduction. Ed. 6. Prentice-Hall, NJ. 916 p.