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Volume estimation model of forty-five years Nauclea diderrichii Plantation in Area J4, Omo Forest Reserve, Nigeria

Author Affiliations

  • 1Department of Forestry and Wildlife Management, Federal University of Agriculture, PMB 2240 Abeokuta, Ogun State Nigeria
  • 2Institute of Agriculture Research and Training, Obafemi Awolowo University, Moor Plantation Ibadan, Nigeria
  • 3Dept. of Environmental Modeling and Biometrics, Forestry Research Institute of Nigeria, P.M.B. 5054, Jericho, Ibadan, Oyo State, Nigeria
  • 4Department of Forestry and wood Technology, Federal University of Technology, Akure, Ondo State, Nigeria
  • 5Department of Forestry and Wildlife Management, Federal University of Agriculture, PMB 2240 Abeokuta, Ogun State Nigeria
  • 6Department of Forestry and Wildlife Management, Federal University of Agriculture, PMB 2240 Abeokuta, Ogun State Nigeria

Res. J. Agriculture & Forestry Sci., Volume 8, Issue (2), Pages 32-39, April,8 (2020)


This study was carried out to determine volume estimation model for Nauclea diderrichii stands in Area J4, Omo forest reserve, Ogun State using fifteen temporary sample plots. Data acquired were analyzed using summary statistics and ordinary least regression analysis (using linear, quadratic, power, exponential and reciprocal model). The results revealed that trees/hectare was 235/ha; the Basal Area was 23.78/ha while mean Dbh (cm) and mean total height were 35cm and 19.32m respectively. Volume was directly correlated with all other parameter in the order; volume α height (0.934) > dbh (0.878) > Basal area (0.872). The results of the regression analysis indicated that the power model gave the most parsimonious model to predict volume of Nauclea didderichi in a plantation. The Durbin-Watson statistics in addition returned for the power model were also about the most preferable (1.804 - 1.329). The volume – height relationship model of the power form was equally the best among others of the power form.


  1. Cailliez, F., & Alder, D. (1980)., Forest volume estimation and yield prediction (Vol. 1)., Food and agriculture Organization of the United Nations. P. 108.
  2. Mugasha, W.A., Mwakalukwa, E.E., Luoga, E., Malimbwi, R.E., Zahabu, E., Silayo, D.S., Sola, G., Crete, P., Henry, M. and Kashindye, A. (2016)., Allometric Models for Estimating Tree Volume and Aboveground Biomass in Lowland Forests of Tanzania., International Journal of Forestry Research, Article ID 8076271:,13pp.
  3. Avery and Burkhart (2001)., Forest measurements., New York U.S.A: Mc Graw Hill. 5th Edition 456pp.
  4. Bienert, A., Hess, C., Maas, H. G., & Von Oheimb, G. (2014)., A Voxel-Based Technique to Estimate the Volume of Trees from Terrestrial Laser Scanner Data., International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 45.
  5. Kelly, J. F. (1987)., A comparison of tree volume estimation models for forest inventory (Vol. 233)., United States Department of Agriculture, Forest Service, Southern Forest Experiment Station. US Government Printing Office, 987 -761 -0 86/ 60 0 32
  6. Husch, B., Beers, T.W. and Kershaw Jr., J.A. (2003)., Forest Mensuration., 4th Edn. New Jersey: John Wiley and Sons Inc., USA., 949 pp
  7. Ader, H.J. (2008). Modelling in Ader, H.J. and Mellenberg, G.J. (eds)., Advising on Research method: A consultant´s companion., Huzen, the Netherland: Johannes Van Kessel Publishing, pp 271 - 304.
  8. Alder, D. and Abayomi, J.O. (1994)., Assessment of data requirement for sustained yield calculations., A consultancy report prepared for the Nigerian Tropical Action Plan. FORMECU, Federal Department of Forestry, Ibadan, 105 pp.
  9. McCullagh, P., & Nelder, J. A. (1989)., Generalized linear models., Routledge. London: Chapman and Hall, 592 pp.
  10. McCullagh, P. (2002)., What is Statistical Model?, Annals of Statistics, 30(5), 1225 - 1310.
  11. Subasinghe, Upul. (2016)., Attempts of modelling forest tree volume and biomass in Sri Lanka., Indian Forester. 142. 68.
  12. Giri, K., Pandey, R., Jayaraj, R. S. C., Nainamalai, R., & Ashutosh, S. (2019)., Regression equations for estimating tree volume and biomass of important timber species in Meghalaya, India., Current Science, 116(1), 75-81.
  13. Lumbres, R.I.C., Young, J.L., Yeon, O.S., Sung, H.K. Jung, K.C. and Woo, K.L. (2011)., Development and Validation of Nonlinear Height-DBH models for Major coniferous tree Species in Korea., Forest Science and Technology, 7(3), 117 - 125.
  14. Shamaki S. B. Akindele, S. O., Isah, A. D and Mohammed I. (2016)., Height-diameter Relationship Models for Teak (Tectona grandis) Plantation in Nimbia Forest Reserve, Nigeria., Asian Journal of Environment & Ecology, 1(1): 1-7, 2016; Article no.AJEE.30635
  15. Farebrother, R. W. (1980)., Algorithm AS 153: Pan, Journal of the Royal Statistical Society. Series C (Applied Statistics), 29(2), 224-227.
  16. Breusch, T. S., & Pagan, A. R. (1979)., A simple test for heteroscedasticity and random coefficient variation., Econometrica: Journal of the Econometric Society, 1287-1294.
  17. Adekunle, V. A. J. (2007)., Non-linear regression models for timber volume estimation in natural forest ecosystem, southwest Nigeria., Research Journal of Forestry, 1(2), 40-54.
  18. Abayomi, J. A. (1983)., Volume tables for Nauclea diderrichii in Omo forest reserve, Nigeria., Nigerian Journal of Forestry, 13(1-2), 56-62.
  19. Mugasha, W. A., Bollandsås, O. M., & Eid, T. (2013)., Relationships between diameter and height of trees in natural tropical forest in Tanzania., Southern Forests: a Journal of Forest Science, 75(4), 221-237.
  20. Adegbehin, J. O. (1985)., Growth prediction in some plantations of exotic tree species in the Northern Guinea and Derived savanna zones of Nigeria (Doctoral dissertation).,
  21. Nokoe. E. (1980): Demonstrating the Flexibility of Gompertz function as a yield in Man and Biosphere series Volume 6, 181-207.
  22. Laiho, O., E. A. Lahde, Y. Norokorpi and T. Saksa (1995):, Stand structure and the associated terminologies., In: Recent advances in forest mensuration and growth and yield research. Proceedings from 3 sessions of subject group S4-01, 20th World congress of IUFRO, Tampere, Finland (Editors: J. P. Skovsgaard and H. E . Burkhart) p88-96 Lanly, J.P. (1982): Tropical Forest Resources. FAO Forestry Paper No. 30 (FAO Rome).