PL EN


Preferences help
enabled [disable] Abstract
Number of results
2018 | 16 | 144-154
Article title

Individual tree basal area equation for a young Tectona Grandis (Teak) plantation in Choba, Port Harcourt, Rivers State, Nigeria

Content
Title variants
Languages of publication
EN
Abstracts
EN
Individual Tree Basal Area Equation was developed for a Young Tectona grandis plantation of the Department of Forestry and Wildlife Management, Faculty of Agriculture, University of Port Harcourt (UNIPORT) Choba, Rivers State; using diameter at breast height (dbh), diameter at the base (db), crown diameter (CD), and crown projection area (CPA) as predictor variables. The individual basal area estimates were obtained from data collected from 437 trees in the 5 years old plantation of dimensional area of 2737.5m2.The individual trees were measured for dbh, CD, and db using traditional measuring techniques while individual Basal Area (BA) and CPA were estimated from the data sets. The data collected were further subjected to descriptive, correlation and regression analyses with different empirical models using STATISTICA statistical package. The results of the descriptive analyses produced a mean values of DBH of 7.89±0.0097 cm, BA with the mean value of 0.0052±0.0001 m2, DB with 32.64±0.397 cm, CD of 3.1004±0.041 m and CPA with a mean value of 8.1268±0.215 m2. The results of regression analyses and modelling with empirical non-linear basal area equations fitted with Quadratic model, Exponential model, Linear Fit model and Polynomial model on STATISTICA produced best fits estimates with residual analyses and fit indices such as Mean Prediction Residual (MPR), Standard Error of Estimate (SEE), Residual Coefficient Variation (RCV) and Prediction Sum of Squares (PRESS). The Quadratic equation (BA = bo + biCPA + DB2; R2 - 0.8959; SEE - 0.0004) after the evaluation procedures gave the most robust fit indices for the individual basal area, and thus adjudged the best individual basal area equation for Tectona grandis plantation in the study area. This study has shown that the selected model can be effectively used for predicting individual tree basal area of Tectona grandis both within the study area and in any other Tectona grandis plantations for making timber harvest decision and management.
Discipline
Year
Volume
16
Pages
144-154
Physical description
References
  • [1] Andreassen K., Tomter S.M. (2003). Basal area growth models for individual trees of Norway spruce, Scots pine, birch and other broadleaves in Norway. Forest Ecology and Management, 180: 11-24
  • [2] Anta M.B., Dorado F.C., Dieguez-Aranda U., Gonzalez J.G.A., Parresol B.R., Soalleiro R.R. (2006). Development of a basal area growth system for maritime pine in northwestern Spain using the generalized algebraic difference approach. Canadian Journal of Forest Research, 36: 1461-1474
  • [3] Avery, T. E. and H. E. Burkhart, (2002). Forest Measurements. Fifth Edition. McGraw-Hill, New York, USA. 456 p.
  • [4] Qi Chen, Peng Gong, Dennis Baldocchi, and Yong Q. Tian (2007). Estimating Basal Area and Stem Volume for Individual Trees from Lidar Data. Pp. 1365.
  • [5] Colbert J.J., M. Schuckers., D. Fekedulegn, J. Pentch., M. Maesinurtain. and Kurt Gottschalk (2004). Individual Tree Basal-area Growth Parameter Estimates for Four Models. Ecological Modelling. 115-126 pp.
  • [6] Gyawali, A., R.P. Sharma and S.K. Bhandari (2015): Individual tree basal area growth models for Chir pine (Pinus roxberghii Sarg.) in western Nepal. J. For. Sci. 6, 535-543.
  • [7] FAO, (2004). Tree Planting Practice in Tropical Africa. Rome, Italy. 302 pp.
  • [8] Hein S. and Dhôte J.F., (2006). Effect of species composition, stand density and site index on the basal area increment of oak trees (Quercus sp.) in mixed stands with beech (Fagus sylvatica L.) in Northern France, Ann. For. Sci. 63, 457-467.
  • [9] ITTO, (2001). Plantations on the March. Tropical Forestry Update Vol. 11, No. 3.
  • [10] Martin G.L. and Ek A.R. (1984). A comparison of competition measures and growth models for predicting plantation red pine diameter and height growth. Forest Science, 30, 731–743.
  • [11] Monserud R. A. and H.Sterba (1996): A Basal Area Increment Model for Individual Trees growing in Even- and Uneven-aged Forest Stands in Austria. Forest Ecology and Management 80, 57- 80p.
  • [12] Nadrowski k. Wirth, C and Scherer-Lorenze, M. (2010): .Is a Forest Diversity Driving Ecosystem Function and Service? Current Opinion in Environmental Sustainability, 2, 75-79.
  • [13] NDES, (2001). Biological Environmental Research Report, Rivers State University of Science and Technology (RSUST), Port Harcourt, Vol. 46, 251.
  • [14] Palmer, J. and T.J. Synnott (1992). The Management of Natural Forests. In: Sharma, N.P. (Editor) Managing the World’s Forests, 337 73. Kendall/ Hunt Publishing Co, Dubuque, Iowa. 337 p.
  • [15] Roland Camirand, (2002): Guidelines for Forest Plantation Establishment and Management in Jamiaca. 2-52 pp.
  • [16] Schröder J., Soalleiro R.R. and Alonso G.V. (2002): An age independent basal area increment model for maritime pine trees in northwestern Spain. Forest Ecology and Management, 157: 55-64.
  • [17] Smith, W.R., Farrar, R.M; JR., Murphy, P.A., Yeiser, J.L., Meldahl, R.S., and Kush. (1992). Crown and Basal Area of Open-grown Southern Pines for Modelling Composition and Growth. Can j. For. Res 22, 341-347.
  • [18] Uzoh F.C.C. and Oliver W.W. (2008). Individual tree diameter increment model for managed even-aged stands of ponderosa pine throughout the western United States using a multilevel linear mixed effects model. Forest Ecology and Management, 256: 438-445.
  • [19] Wagles B.H. and Sharma R.P. (2012). Modelling individual tree basal area growth of Blue pine (Pinus wallichiana) for Mustang district in Nepal. Forest Science and Technology, 8: 21-27.
  • [20] Woollons R.C. and Hayward W.J. (1985). Revision of a growth and yield model for radiata pine in New Zealand. For. Ecol. Management. 11, 191-202.
Document Type
article
Publication order reference
YADDA identifier
bwmeta1.element.psjd-e744c1af-f337-4afc-bdb7-35fd8296d2a7
Identifiers
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.