Shuaibu, Rabi Binta.2023-12-112023-12-112015-09-26Ajit S. (2010): Estimation and Validation Methods in Tree Volume and Biomass modeling: Statistical Concept. National Research Centre for Agroforestry. Jhansi. India pp. IS Available at www.iasri .res. i n/nct/t mg/index .him Ball. J.B., Pandey. D., and Hirai. S. (1999): Global Overview of Teak Plantation. In Regional Seminar site, technology and Productivity of Teak plantations, Chiang Mai. Thailand. 26-29. January- 1999, pp. 11-34 Birger Hjelm, (2011): Taper and Volume Equations for Poplar Trees Growing on Farmland in Sweden Licentiate Thesis Swedish University of Agricultural Sciences Uppsala 2011 ISSN 1654-9406 ISBN 97S- 91-576-9035-7 Byme. J.C. and D.D. Reed (19S6): Complex Compatible Taper and Volume Estimation Systems for Red and Loblolly Pine. Forest Science 32(2): 423 - 443. Clutter. J.L., J.C. Fortson, L.V. Pienaar, G.H. Brister, and R.L. Bailey (I9S3): Timber Management: A Quantitative Approach, Wiley, New York. FAO. (2003): State of the World's Forests, 2003. Food and Agriculture Organization of the United Nations, Rome, 151 pp. H.R. (1956): The Form and Taper of Forest Tree Imperial Forestry Institute Paper. NO. 32 London, University of Oxford. 79 pp. Huang. S., Y. Yang, and Y. Wang (2003': A Criticd Look at Procedures for Validation Growth and Yield Models, p. 271-294 in Modeling Forest Systems. Kozak, A.. Munro, D D. & Smith, J.H.G. (1969): Taper Functions and their Applications in Fores; Inventory. The Forestry Chronicle 45, 27S-2S3. __ O (2009): Developing Volume and Taper Equations for Styrax tonkinensis in Laos. A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Forestry Science University of Canterbury New Zealand, p.https://keffi.nsuk.edu.ng/handle/20.500.14448/3104Stem taper equations were developed for Teclona grandis Iteak) plantalionjn Ztrrr:::zz^ purposely selected to ensure coverage of a full range of tree sices. Four ^0, stent requaum« compared for bias and precision using regression techniques. The data const f • ., .■ . ranted from 11.6 to along the stem; and total height of individual tree. The dbh ranged from -J* .0 to ■ cm, art of each model to predict a 20.6m. SPSS was used to generate the equations. Various criteria were use, 1J°f'™™j20+0.869(Df+0.081(liM)-O.H9(liV/H); specified dependent variable. The four taper equations generated \ ■ o~-n oqa d:=0.162+0.S01(D:)+ 0.069(h/H-1)+0.090(lr/H:-l); lnd=0.156-0.926ln(D)+0.453-h\-0.23J;\nand -n were 0.928 In (D2)+1.183\nCj:-l)-0.597]nC-1). The correlation coefficients of the four models developed 0.97. 0.95. 0.98 and 0.98 respectively, while the coefficients of determination (R-) were 947c. 91% 967c and 967c respectively The F-ratio was significant (p<0.05) with small SEE (0.01. 0.01. 0.02 and 0.05 for the models, respectively). The equation developed was fitted to the data, and the resulting equations possessed desirable statistical properties and model behaviors. Therefoie, aei*. opui0 tnese equations for effective and sustainable management of Teak stands is imperative.enData, Stem Profile, and Taper Equations.Article