Spatiotemporal Dynamics of Agricultural Land Loss in Offa LGA: Implications for Food Security

Kolade Victor Otokiti¹ , Paul Onibaba² , Kayode Nelson Adeniji³ , Opemipo Akinola⁴ , Olufemi Samson Adesina⁵ , Deborah Olawuni⁶ , Bashira Omobukola Oladipupo⁷

Section:Research Paper, Product Type: Journal-Paper
Vol.8 , Issue.2 , pp.12-17, Jun-2020

Online published on Jun 30, 2020

Copyright © Kolade Victor Otokiti, Paul Onibaba, Kayode Nelson Adeniji, Opemipo Akinola, Olufemi Samson Adesina, Deborah Olawuni, Bashira Omobukola Oladipupo . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
In developing countries, urban sprawl is one of the primary drivers of agricultural land loss. In the long term, increasing urbanization and rising population pose a significant risk to food security and sustainable agriculture. This study therefore assesses and presents the spatiotemporal dynamics of agricultural land loss in Offa Local Government Area of Kwara State, Nigeria using Geographic Information System (GIS) and Remote Sensing (RS) tools. Also, it discusses the impact of urban sprawl on food security, as it concerns the study area. Changes in agricultural land cover were detected using Landsat images. The research findings show a significant increase in agricultural land loss as a result of urbanization in the past three decades where built-up areas were discovered to increase rapidly while agricultural land cover declined as a consequence. In total, over 23sqkm of agricultural land was lost in the study area over the study period. Thus, food production and the livelihood of producers are currently put at risk. In response, innovative agricultural approaches as well as efficient development control mechanisms were recommended to promote food security in the face of growing agricultural land loss and population increase.

Key-Words / Index Term :
Urbanization, Food security, Landsat images, Land cover change, GIS

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