Preferences help
enabled [disable] Abstract
Number of results
2017 | 13 | 122-129
Article title

Predicting Basal Area Using Java Program in Akinyele Local Government Area, Ibadan, Oyo State, Nigeria

Title variants
Languages of publication
Individual tree growth models are important decision-making tools in forestry. This study evaluated the predictive ability for basal area, of a Java program derived from the algorithm of gamma distribution function. The input value was diameter at breast height. In generating and testing the program, a stratified random sampling technique was used to select four different age classes of teak plantation, namely: 11, 13, 22 and 59 years-old, respectively. Complete enumeration of trees (n = 433) was done for all the plots selected. Diameter at breast height (DBH) was measured with the aid of diameter girth tape, which was also used for basal area computation. Data obtained were processed into tree and stand levels. Parameters α and β for Gamma Distribution function (GDF) were estimated from growth data. The java program was then written based on the algorithm of Gamma distribution function for α, β and n parameters. Values of diameter at breast height fitted into the Java program shows that it was able to predict the basal area. Therefore, the predictive ability of the developed Java Program for basal area of individual and full stand teak trees demonstrates that it can be used for prediction of yield in forest stands.
Physical description
  • Department of Forestry and Wildlife, Delta State University, Asaba Campus, Nigeria
  • Department of Forest Resources Management, Faculty of Agriculture and Forestry, University of Ibadan, Ibadan, Nigeria
  • [1] Amaro, A., Reed, D., Soares, P. (2003). Modelling forest systems. Walling ford, Oxon, CAB International, 432.
  • [2] Andreassen K., Tomter S. M. (2003). Basal area growth models for individual trees of Norway spruce, Scots pine, birch and other broad leaves in Norway. Forest Ecology and Management, 180, 11-24.
  • [3] 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, 1461-1471.
  • [4] Change, D. S. and Tang, L. C. (1994). Graphical analysis for Birnbaun – Sanuders distribution. Microelectr. Relia. 34, 1722. Doi:10.1016/0026-271(94)90471-5
  • [5] Garcia O. (1994). The state space approach in growth modelling. Canadian Journal of Forest Research, 24, 1984-1903.
  • [6] Gizachew B., Brunner, A. (2011). Density-growth relationships in thinned and unthinned Norway spruce and scots pine stands in Norway. Scandinavian Journal of Forest Research, 26, 543-554.
  • [7] Hong-gang, S. Jian-guo, Ai-guo, D., Cai-yun H. (2007). A review of stand basal area growth models. Forest studies in China, 9, 85-94.
  • [8] Huuskonen, S. Miena, J. (2007). Stand level growth models for young scots pine stands in Finland. Forest Ecology and Management, 241, 49-61.
  • [9] Liu, C., Zhang, L., Davis, C. J., Solomon, D. S., and Grove, J. H. (2002). A finite mixture model for characterizing the diameter distribution of mixed forest stands. For. Sci. 48, 653-661.
  • [10] Monserud R. A., Sterba, H. (1996). A basal area increment model for individual trees growing in even and uneven aged forest stands in Austria. Forest ecology and Management, 80, 57-80.
  • [11] Piennar, I. V., Rheney, J. W. (1995). Modelling stand level growth and yield response to silvicultural treatments. Forest science 41, 629-438.
  • [12] Porte, A. Bartelink, H. H. (2002). Modelling mixed forest growth: a review of models for forest management. Ecological modelling 150, 141-185.
  • [13] Schroder, J., Soalleiro, R. R., Alonson, G. V. (2002). An aged independent basal area increment model for maritime pine trees in North Western Spain. Forest Ecology and Management 1 57, 55-64.
  • [14] Wanday, J. K. (1994). Modelling forest growth and yield. Oxon, CAB International, 312.
  • [15] Weisberg, S. (1985). Applied linear regression, 2nd Ed. J. Wiley and Sons Inc. New York 1985, xiv, 324 p
  • [16] Wykoff, W. R. (1990). A basal area increment model for individual conifers in the Northern Rocky Mountain. Forest Science, 36, 1077-1104.
Document Type
Publication order reference
YADDA identifier
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.