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Assessment of Deforestation in Mbaav 1 Forest Reserve in Gwer East Local Government Area of Benue State, Nigeria

Verinumbe, I, Ancha PU, Imeh ST, Umaru PM

Abstract

The study investigates the ongoing issue of deforestation in Mbaav1 Forest Reserve, located in Gwer East Local Government Area (LGA), Benue State, Nigeria. Deforestation in the reserve is exacerbated by socio-economic factors such as agricultural expansion, population growth, logging, and development projects. Understanding these drivers is crucial for effective policy formulation and sustainable forest management. The primary aim of this study is to assess changes in forest cover in Mbaav1 Forest Reserve between 1989 and 2019, with particular emphasis on the socio-economic factors driving deforestation. The study specifically examines the socio-economic characteristics of local communities, land use changes, the extent of deforestation, and the key drivers of these changes. Data were collected using both primary and secondary methods. Primary data were gathered through semi-structured questionnaires and interviews with 387 community members, while secondary data were obtained from Landsat satellite imagery (1989, 2009, and 2019), For socio-economic analysis, simple descriptive statistics were used to present data on respondents' characteristics, including income, age, education, occupation, and household size. To examine the influence of socio- economic factors on deforestation, a binary logistic regression model was adopted. Landsat satellite imageries were analyzed using Geographic Information Systems (GIS) and remote sensing tools. The supervised and unsupervised classification methods were used to detect and classify land cover changes. The Normalized Difference Vegetation Index (NDVI) was also used to map vegetation changes. The results of analysis revealed significant relationships between deforestation and factors such as income, population growth, developmental projects, and land-use activities. Notably, income had the highest influence on deforestation, with a unit increase in income leading to a 1.35 increase in de

Keywords

DeforestationForest DegradationMbaav1 Forest ReserveLand-use ChangeRemote Sensing and GIS.

References

Ancha P.U, Verinumbe I, Jande JA, Abakpa S.O. (2021) Assessment of the impact of urbanization on forest resources in Otukpo local government area Benue State, Nigeria. Journal of Research in Forestry, Wildlife & Environment. ;13(4):137–49. Anderson, I. C. and Levine, J. S.: (1976), ‘Relative Rates of Nitric Oxide and Nitrous Oxide Production by Nitrifiers, Denitrifiers and Nitrate Respirers’, Appl. and Environ. Microbiol. 51, 938–945.Google Scholar Bali (2007) Climate Change Conference - December 2007, 3 Dec - 14 Dec 2007. Ekhuemelo, D. O., Tsembe, E. I., and Amonum, J. I., (2017) Investigation of Charcoal Production in Gwer West and Gwer East Local Government Areas of Benue State, Nigeria. Department of Forest Production and Products, University of Agriculture, Makurdi, Benue State, 970001, Nigeria. Complete Peer review History:http://www.sciencedomain.org/review-history/19498Received 25th May 2017 Essoka, P., Uquetan, U., Atan, O.E., Osang, J.E., Bawan, A.M., (2016) A Case study of the effects of oil pollution on soil properties and growth of tree crops in Cross River State, Nigeria. International Journal of Science and Engineering Research,-7(1):1145-1155 FAO. (2006). Global Forest Resources Assessment 2005 Main Report. Progress Towards Sustainable Forest Management. FAO Forestry Paper 147. Rome FAO (2000.). State of the World’s Forests. Food and Agriculture Organization, Rome. FAO, (2010).The state of the world forest. Forest pathways to Sustainable Development. Rome: Food and Agricultural Organization. FAO, (2010a). Global Forestry Resources Assessment, Terms and Definition. Forest Department. FAO, (2010b). Global Forest Resources Assessment, main report. FAO Forestry Paper N0 163. www.fao.org/docrep/o13/i1757e/e00.htm. FAO. (2010). State of the World's Forests. A global forest resource assessment report of the United Nation Food and Agriculture Organization. FAO 2010 Quarterly Bulletins on Forestry and Environment; 20-45. Food and Agriculture Organization (2010), “Criteria and Indicators for Sustainable wood fuels”, in FAO Forestry, Paper 160, Electronic Publishing Policy and Support Branch, VialeDelleTerme di Caracalla, I-00100 Rome, Italy, pp. 5, 10 and 11. Gibbs H.K. and Brown S. (2007)b Geographical distribution of biomass carbon in tropical southeast Asian forests: an updated database for Available at http://cdiac.ornl.gov/epubs/ndp/ndp068/ndp068b.html from the Carbon Dioxide Information Center, Oak Ridge National Laboratory, Oak Ridge, TN Ikyaagba, E. T., Jande J. A., and Mercy K.A. (2020) NigeriaEffects of Land Use and Land Cover Change on TseGavar Forest Reserve, Vandeikya Local Government Area, Benue State, Nigeria. University of Agriculture, Makurdi, East African Journal of Forestry and Agroforestry, Volume 2, Issue 1, 2020Article DOI: https://doi.org/10.37284/eajfa.2.1.12734 Jande, J. A., Kwaghkohol, G. T. &Ikyaagba, E. T. (2018). Assessing the status of Yandev forest reserve using remote sensing and Geographic Information System (GIS)Techniques. Asian Journal of research in Agriculture and Fishery, 2(2), 1-13 Jande, J. A., Nsofor, G.N. and Abdulkadir, A. (2019) Assessment Of Land Use And Land Cover Changes And Urban Expansion Using Remote Sensing And GIS In Gboko, Benue State, Nigeria Department of Social and Environmental Forestry, Federal University of Agriculture Makurdi, Benue State Journal of Research in Forestry, Wildlife & Environment Vol. 11(3) September, 2019 NPC Report of National Population Commission on the 2006 Nigerian census result. (Retrieved on 22 October 2014) Available:http://www.population.gov.ng/fact sandfigures.htm. Ray D.J., Alfredo R.H. (1991) Interpreting Vegetation indices: Volume 11, Issues 3-4, December 1991, pages 185-200 Sheyin, G. A. (2008). The use of GIS and Remote Sensing in Accessing Land Cover Changes in the Kagoro Forest. An Undergraduate Project, Department of Geography, Ahmadu Bello University, Zaria. Singh, A. (1989), Digital change detection techniques using remotely sensed data, International Journal of Remote Sensing,10(6), 989-1003. WorldFactBook; www.cia/gov/library/publication/theworldfactbook/fields/2212.html. Retrieved on 20th May, 2022