DETERMINATION OF CARBON SEQUESTRATION, CARBON ESTIMATION AND STORAGE CAPACITY OF TREES IN OMO BIOSPHERE RESERVE, NIGERIA USING REMOTE SENSING AND GIS

Volume 1, Issue 1, October 2016     |     PP. 24-38      |     PDF (596 K)    |     Pub. Date: December 14, 2016
DOI:    361 Downloads     3655 Views  

Author(s)

Pelemo O. J., Remote Sensing/GIS – Forestry Research Institute of Nigeria
Oshati T, National Productivity Centre, Ibadan.
Adewoye O.R, Remote Sensing/GIS – Forestry Research Institute of Nigeria
Ogoliegbune O. M, Remote Sensing/GIS – Forestry Research Institute of Nigeria
Olatoye T. A, Remote Sensing/GIS – Forestry Research Institute of Nigeria

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.

References

[ 1 ] Achard, F; DeFries, R; Eva, H; Hansen, M; Mayaux, P; Stibig, H-J (2007) Pan-tropical monitoring of deforestation. Environ. Res. Lett. 2: 045022 (11pp).
[ 2 ] Ahern, F. J., A. C. Janetos, and E. Langham. 1998. Global Observation of Forest Cover: one component of CEOS’ Integrated Global Observing Strategy. Pages 1-5. 27th International Symposium on Remote Sensing of Environment, Tromsø, Norway.
[ 3 ] Brown S, Pearson T, Slaymaker D, Ambagis S, Moore N, Novelo D and Sabido W 2005 Creating a virtual tropical forest from three-dimensional aerial imagery: application for estimating carbon stocks Ecol. Appl. 15 1083–95 Oecologia 145 (1): 87-99.
[ 4 ] Brown, K.: 1997, 'The Utility of Remote Sensing Technology in Monitoring Carbon Sequestration Agroforestry Projects' report for Winrock International Institute for Agricultural Development; Arlington, Virgina.
[ 5 ] Brown S and Gaston G 1995 Use of forest inventories and geographic information systems to estimate biomass density of tropical forests: applications to tropical Africa Environ. Monit. Assess. 38 157–68
[ 6 ] Chave, J., Andalo, C., Brown, S., Cairns, M.A., Chambers, J.Q., Eamus, D., Fölster, H., Fromard, F., Higuchi, N., Kira, T., Lescure, J.P., Nelson, B.W., Ogawa, H., Puig, H., Riéra, B. and Yamakura, T. 2005 Tree allometry and improved estimation of carbon stocks and balance in tropical forests.
[ 7 ] Cohen, W. B., M. E. Harmon, D. O. Wallin, and M. Fiorella. 1996. Two decades of carbon flux from forests of the Pacific Northwest. Bioscience 46: 836-844.
[ 8 ] DeFries R S, Asner G, Achard F, Justice C, Laporte N, Price K, Small C and Townshend J 2005 Monitoring tropical deforestation for emerging carbon markets Tropical Deforestation and Climate Change ed P Moutino and S Schwartzman (Belem: IPAM and Environmental Defense) pp 35–44
[ 9 ] Food and Agricultural Organization (FAO) of the United Nations. 1997a. Forest Resources Assessment 1990: Survey of Tropical Forest Cover and Study of Change Processes.
[ 10 ] FAO (Food and Agriculture Organization): 2005, The State of the World’s Forests, FAO, Rome.
[ 11 ] IPCC (2006): Chapter 4: Forest Lands. Pp. 4.1 4.83 in Eggleston, S., Buendia, L., Miwa, K., Ngara, T., & Tanebe, K. (eds.): 2006 IPCC Guidelines for National Greenhouse Gas Inventories. Hayama, Japan, Institute for Global Environmental Strategies (IGES).
[ 12 ] Keller M, Palace M and Hurtt G 2001 Biomass estimation in the Tapajos National Forest, Brazil: examination of sampling and allometric uncertainties Forest Ecol. Manag. 154 371–82
[ 13 ] MacDicken, KG (1997) a guide to monitoring carbon storage in forestry and agro-forestry projects. Arlington, USA: Winrock International
[ 14 ] Nguyen, N. T. (2010). Estimation and mapping of above ground biomass for the assessment and mapping of carbon stocks in tropical forest using SAR data: a case study in Afram Headwaters Forest, Ghana. Unpublished MSc. Thesis, ITC, Enschede
[ 15 ] Pearson T, Brown S, Petrova S, Moore N and Slaymaker D 2005b Application of multispectral three-dimensional aerial digital imagery for estimating carbon stocks in a closed tropical forest Report to The Nature Conservancy Winrock International.
[ 16 ] Running, S. W., D. D. Baldocchi, D. P. Turner, S. T. Gower, P. S. Bakwin, and K. A. Hibbard. 1999. A global terrestrial monitoring network integrating tower fluxes, flask sampling, ecosystem modeling and EOS data. Remote Sensing of Environment 70: 108-127.
[ 17 ] Sierra, C. A., del Valle, J. L., Orrego, S. A., Moreno, F.H., Harmon, M. E., Zapata, M., et al. (2007). Total carbon stocks in a tropical forest landscape of the Porce region, Colombia. [Article]. Forest Ecology and Management, 243(2-3), pp 299-309.
[ 18 ] Springate-Baginski, O; Wollenberg, E (eds.) (2010) REDD, forest governance and rural livelihoods: the emerging agenda. CIFOR, Bogor, Indonesia. (pp 173–194).