Volume equations and their validation for irrigated plantations of eucalyptus camaldulensis in the hot desert of India

Journal of Tropical Forest Science

Volumn 15, Issue 1, 2003, Pages 136-146

  Tewari, V P ^a   Kumar, V S K ^a  

^a ARID FOREST RESEARCH INSTITUTE   (India)

Author keywords

Fit and validation; Model construction; Model fitting; Volume estimates

Indexed keywords

IRRIGATION; PLANTS (BOTANY); STATISTICAL METHODS; WOOD;

IRRIGATED PLANTATIONS;

FORESTRY;

DESERTS; EUCALYPTUS ROSTRATA; PLANTATIONS;

EUCALYPTUS; EUCALYPTUS CAMALDULENSIS;

EID: 0037229414     PISSN: 01281283     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (16)

1. AVERY, T. E. & BUKHART, H. E. 1994. Forest Measurements. McGraw-Hill, New York. 408 pp.
2. BI, H. 1999. Predicting stem volume to any limit for native tree species in southern New South Wales and Victoria. New Zealand Journal of Forestry Science 20: 318-331.
3. BI, H. 2000. Trigonometric variable-form taper equations for Australian eucalypts. Forest Science 46: 397-409.
4. BI, H. & HAMILTON, F. 1998. Stem volume equations for native tree species in southern New South Wales and Victoria. Australian Forestry 61: 275-286.
5. CAO, Q. V., BURKHART, H. E. & MAX, T. A. 1980. Evaluation of two methods for cubic volume prediction for loblolly pine to any merchantable limit. Forest Science 26: 71-80.
6. CLUTTER, J. L., FORTSON, J. C., PIENAAR, L.V., BRISTER, G. H. & BAILEY, R. L. 1983. Timber Management: A Quantitative Approach. John Wiley and Sons, New York. 333 pp.
7. CORNELL, J. A. & BERGER, R. D. 1987. Factors that influence the value of the coefficient of determination in simple linear and nonlinear regression models. Phytopathology 77: 63-70.
8. FONWEBAN, J. N., MAYAKA, T. B. & SEUKEP, J. B. 1995. Construction and validation of tree volume equations for Eucalyptus saligna in Cameroon. Commonwealth Forestry Review 74: 355-360.
9. FURNIVAL, G.M. 1961. An index for comparing equations in constructing volume tables. Forest Science 7: 337-341.
10. GOULDING, C.J. 1979. Validation of growth models used in forest management. New Zealand Journal of Forestry 24: 108-124.
11. LOETSCH, F., ZOHRER, F. & HALLER, K. E. 1973. Forest Inventory. Volume II. BLV Verlagsgesellschaft, Munchen. 469 pp.
12. PHILIP, M. S. 1994. Measuring Trees and Forests. CAB International, Wallingford. 310 pp.
13. REYNOLDS, M. R. & CHUNG, J. 1986. Regression methodology for estimating model prediction error. Canadian Journal of Forest Research 16: 931-938.
14. REYNOLDS, M. R., BURKHART, H. E. & DANIELS, R. F. 1981. Procedures for statistical validation of stochastic simulation models. Forest Science 27: 349-364.
15. SPURR, S. H. 1952. Forest Inventory. John Wiley and Sons, NewYork. 476 pp.
16. WILLIAMS, M. S. 1997. A regression technique accounting for heteroscedastic and asymmetric errors. Journal of Agricultural, Biological and Environmental Statistics 2: 108-129.