Abstract
The study examined the methods applied in the estimation of forest woody biomass and its carbon content according to main tree parameters on the forest stand scale in Omo Biosphere Reserve Southwest, Nigeria and were analysed. Twenty-two (22) sample plots (30m by 30m) of tree species greater than 20cm at DBH and their heights were collected respectively. The mean carbon stock in above-ground tree biomass per unit area was estimated based on field measurements and remote sensing techniques using representative random sampling. Tree attributes were measured and converted into carbon estimates using allometric relationship and remote sensing techniques for normalized-difference vegetation index (NDVI). Techniques such as simple linear regression and correlation techniques were used to analyse the data and the results were presented in tables, charts and maps. Through the analysis of the samples of tree species, the total carbon contents of carbon in dry matter of biomass were determined for Omo Biosphere Reserve, Nigeria. The above-ground biomass was estimated at 10,412.92 metric tons/ha. Carbon-dioxide (CO2) sequestered 8,400,800.44 tCO2-e ha-1, carbon dioxide emitted was found to be 38,215.41 tCO2-e ha-1. The regression analysis showed that CO2 sequestered and CO2 emitted had a correlation of determination which is R2 0.8473 while the correlation ranged between 0.92 to 1. The price per dollar ($) of CO2 sequestered (metric tons per hectare) revealed the total cost of $252,024,013.20. The regression analysis indicated that NDVI and AGB had a value of 0.7342. The study showed that Omo Biosphere Reserve trees stored high carbon content per tree, due to tree sizes, higher wood density and tree maturity. The study concluded that the environmental and socio-economic values of woody biomass estimation of a country’s forest resources are important for strategic planning of its judicious use. It then becomes expedient to apply adaptation measure, substantial planting of trees, sustainable forest management, and urgent development of existing forest and game reserves with a view to mitigating grave environmental hazard.

Keywords
Carbon sequestration, Carbon estimation, Omo Biosphere Reserve, Remote sensing and GIS, NDVI

Cite this paper
Pelemo O. J., Oshati T, Adewoye O.R, Ogoliegbune O. M, Olatoye T. A, DETERMINATION OF CARBON SEQUESTRATION, CARBON ESTIMATION AND STORAGE CAPACITY OF TREES IN OMO BIOSPHERE RESERVE, NIGERIA USING REMOTE SENSING AND GIS , SCIREA Journal of Forestry. Volume 1, Issue 1, October 2016 | PP. 24-38.

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