Yusuf Usman Oladimeji, Yusuf O, Sani A A, Iyanda A S
  AGRISE,Vol 20, No 3 (2020),  253-264  
Viewed : 28 times


The extent of degraded and impoverished lands suitable for agriculture production in Nigeria is highly uncertain and cannot be established without due consideration of current land use and land tenure. The objective of this study was to assess the effect of land degradation on smallholder farmers’ food security and poverty status nexus livelihood diversification in north central Nigeria. Primary data with the aid of structured questionnaire was employed to collect the relevant data. A multistage random farming household survey resulted in five Local Government Areas, eleven villages, 330 farmers which were filtered to 142 and 188 land graded farmers (LDF) and non-degraded farmers (NDF) respectively. Descriptive statistics, land degradation perception index, food security and poverty indices, dichotomous regression models were used to achieve the aims of the study. The result indicates that 86.97% of the sampled farmers identified erosion as the most severe land degradation with perception index of 4.2. Only 12.0% of LDF were food secured while 40.0% of NDF were food secured. The poverty status revealed that only 7.04% of LDF fall under the threshold of 0.00-20.00 category implying non-poor while 46.3% of NDF fall under the threshold. The results showed that the factors that affected food security and poverty status of LDF had variation from those that affected NDF and where it was the same, not by the same magnitude and direction. The average livelihood security composite index of LDF and NDF were 0.27 and 0.64 respectively implying that NDF had a low diversification as value of one means no diversification. The factors influencing livelihood diversification to non-farm activities by LDF and NDF also differs in magnitudes, coefficients and directions. The results revealed that intercropping and mixed cropping are the most common strategy adopted by farmers in mitigating land degradation with mean index of 4.82.


Food security; land degraded farmers (LDF); mitigating strategies; poverty depth

Full Text:



Abdelfattah, M. A. (2009), Land degradation indicators and management options in the desert environment of Abu Dhabi, United Arab Emirates. Soil Survey Horizons, 50, 3-10.

Ajao, A. M., Oladimeji, Y. U., Babatunde, S. K. and Obembe, A. (2014). Morphological characteristics of Apis mellifera L. (Hymenoptera: Apidae) in Kwara State, Nigeria. International Journal of Agricultural Science, 4(4), 171-175.

Bai, Z. G., Dent, D. L., Olsson, L., and Schaepman, M .E. (2008). Global assessment of land degradation and improvement 1: identification by remote sensing. Report 2008/01, FAO/ISRIC - Rome / Wageningen.

Davis, J. and Bezemer, D. (2004). The development of the rural non-farm economy in developing countries and transition economies: key emerging and conceptual issues. Chatham, UK: NRI.

Ellis, P.W. (2019): Reduced-impact logging for climate change mitigation (RIL-C) can halve selective logging emissions from tropical forests. Forest Ecology Managt., 438, 255–266,

Food and Agriculture Organisation, (2018). Land and Water. http//www/fao.org land & water.

Foley, J. A. (2005). Global consequences of land use. Science, 309, 570-574,

Foley, J. A. (2011). Solutions for a cultivated planet. Nature, 478, 337-342, doi:10.1038/nature10452.

Foster, J. J., Greer, J. and Thorbecke, E. (1984). A class of decomposable poverty measures. Econometrica, 52, 761-765.

Henry, B., Murphy, B. and Cowie, A. (2018). Sustainable Land Management for Environmental Benefits and Food Security. A synthesis report for the GEF. Washington DC, USA, 127 pp.

Fashina, A. O. (2019). Analysis of Food Security Status of Ginger Farming Households of Kaduna State, Nigeria: a Multidimensional Approach. An Unpublished Masters Dissertation Submitted to School of Postgraduate Studies, Ahmadu Bello University, Zaria, Nigeria. 130pp.

Idi, A. S. Damisa, M. A., Ahmed, B., Edekhogregor, O. I. and Oladimeji, Y. U. (2019). Macro-credit utilization and as impact on farmers maize output and household food security in Kaduna State, Nigeria. Journal of Agric. and Environment, 15(1), 19-31.

Kosmas, C., Kairis, Ch., Karavitis, Ch., and Christian P. (2014). Evaluation and selection of indicators for land degradation and desertification monitoring: methodological approach. Environmental Management, 54(5), 951-970.

Kyaw, D. (2009). Rural households, food security and coping strategies to food insecurity in Myammar. Asian Journal of Agricultural Research, 5, 51-54.

Lindenberg, M. (2002). Measuring household livelihood security at the family and community level in the developing world. World Development, 30(2), 301-318.

National Population Commission, NPC, (2006). Population Census of the Federal Republic of Nigeria. Analytical Report at the National Population Commission, Abuja, Nigeria.

Oladimeji, Y. U., Abdulsalam, Z. and Abdullahi, A. N. (2015). Determinants of participation of rural farm households in non-farm activities in kwara state, Nigeria: a paradigm of poverty alleviation. Ethiopian J. of Environmental Studies and Management, 8(6), 635 - 649.

Olorunsanya, E. O. and Omotesho, O. A. (2011). A gender analysis of poverty profile of rural farming households in North Central, Nigeria. Int. J. of Agric. Econs. and Rural Dev, 4(2), 11-27.

Olsson, L. (2019). Land Degradation. In: Climate Change and Land: an IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems [P.R. Shukla et al., (eds.)].

Vilanculos, M. F. (1994). Interlinkages of soil and land use using remote sensing and GIS, a case study of the Ping Valley, Chiang Mai, Thailand. MSc Thesis. ITC, Enschede, the Netherlands.

World Bank, (2010). African Development Indicators. New York, Oxford University Press.

DOI: https://doi.org/10.21776/ub.agrise.2020.020.3.9


  • There are currently no refbacks.

Copyright (c) 2020 Yusuf Usman Oladimeji

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.