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