Keywords
Allometry
Prediction Equations
Aboveground
Belowground
How to Cite
Abstract
Sustainable management of plantations can increase carbon sequestration potentials and contribute to climate change mitigation. However, carbon stock estimates are scarce in most tropical forests. This study estimated above- and belowground biomass and developed biomass equations for stock estimation in three age series of Tectona grandis, using an inventory approach. Sample plots (20m x 20m) were laid in 5-, 10-, and 15-year old Tectona grandis plantations. All the trees within the plots were enumerated for total height and diameter at breast height (DBH). The DBH of two trees in each age series of Teak stand that was closest to the mean DBH were selected for destructive sampling to estimate the biomass. Thus, samples of roots, leaves as well as stem discs were collected at the base, DBH, middle point and merchantable height and were oven-dried to determine the moisture content and dry weight. Inventory and biomass data were analysed using descriptive and inferential statistics at p< 0.05 level of significance. The biomass equations were also developed using regression analysis. The growth variables increased with age, with mean DBH of 4.43cm, 18.02cm and 21.12cm for the 5, 10 and 15 year-old stands, respectively. Similarly, the mean heights were 4.02m, 15.99m and 17.57m. Carbon stocks increased in the 5, 10 and 15-year-old stands with 81.18C/ha, 476.58C/ha and 864.88C/ha estimated respectively. The models: LogB = -3.805 + 2.618LogDBH; and LogB = -34.009 + 2.316LogDBH gave the best fits for the 5 and 15-year-old stands, while LogB = -2.410 + 0.481LogDBH + 2.185LogH gave the best fit for the 10-year-old stand. Hence, DBHand height parameters are suitable variables for developing allometric equations and predicting biomass of Tectona grandis in plantations.
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