A spatial assessment of land suitability for maize farming in Kenya

Abstract

Many developing nations are faced with severe food insecurity partly because of their overdependence on rainfed agriculture. In Kenya, climate system variations that impact staple food crops like maize ultimately threaten the nation’s food security. This study applied analytical hierarchy process, a multi-criteria decision-making technique, and remote sensing, performed within a Geographic Information Systems framework, in developing a land suitability model for maize farming in Kenya under the changing climatic conditions. Levels of suitability were delineated using soil, climate and topographic variables. Local farmers’ knowledge was also incorporated to propose context-specific climate change adaptation practices in agriculture. The study revealed that majority (55.6%) of the land is marginally suitable. Significant changes in weather and climate were also revealed, and these generally translated to lower maize crop yields. Finally, diversification, proper timing, soil fertility retention and restoration and better-quality seeds were found to be the most practical adaptation measures.

Keywords:

• Maize farming
• GIS and land suitability analysis
• climate change adaptation
• Analytical Hierarchy Process
• Kenya

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

1 Read more at http://www.cgiar.org/consortium-news/feeding-the-world-2014-sustainable-solutions-for-a-global-crisis/

2 Kenya profile found at http://www.fao.org/nr/water/aquastat/countries_regions/KEN/

Additional information

Funding

This work was supported by the Department of Geography and Office of Sponsored Programs – Graduate Research Program at the University of North Alabama.