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A spatially explicit approach to assess the suitability for rice cultivation in an inland valley in central Benin

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  • Danvi, Alexandre
  • Jütten, Thomas
  • Giertz, Simone
  • Zwart, Sander J.
  • Diekkrüger, Bernd

Abstract

The selection of optimal areas for specific cultivation systems is an important step in achieving increased, sustainable rice production in Benin. This study aims to determine suitable areas for rice production in the inland valley of Tossahou using a GIS-based approach that evaluates and combines biophysical factors such as climate, hydrology, soil and landscape, following the FAO parameter method and guidelines for land evaluation. Soil and landscape suitability was assessed for three different rice cultivation systems: rainfed bunded (RB), cultivation under natural flooding (NF), and irrigated cultivation (RI). The results show that in the inland valley (mostly including the hydromorphic zones and the valley bottom) 52% of the area is suitable for irrigated cultivation, 18% for cultivation under natural flood and 1.2% for rainfed bunded rice. Precipitation and temperature were limiting factors for all cultivation systems. Flooding was the most limiting factor for NF while RI and RB were mostly limited by steep slopes and soil texture respectively. As a first attempt in Benin, this study can play an important role in achieving optimised rice production in inland valleys, and additional studies including socio-economic aspects, carried out in the same area, or in areas under similar conditions, are relevant to close the yield gap and improve the selection approach.

Suggested Citation

  • Danvi, Alexandre & Jütten, Thomas & Giertz, Simone & Zwart, Sander J. & Diekkrüger, Bernd, 2016. "A spatially explicit approach to assess the suitability for rice cultivation in an inland valley in central Benin," Agricultural Water Management, Elsevier, vol. 177(C), pages 95-106.
    • Handle: RePEc:eee:agiwat:v:177:y:2016:i:c:p:95-106
    DOI: 10.1016/j.agwat.2016.07.003
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    Cited by:

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    3. Xiaoyi Wang & Lifu Chai & Sidong Zeng & Jianbin Su & Bin Ye & Haishen Lü & Changqing Chen & Junfu Gong & Mingwen Liu & Xiaoqing Wang & Shiliang Zhou, 2024. "Evaluating Cultivated Reserved Land Resources in a Highly Urbanized Region of China: A Case Study in Haishu District, Ningbo City," Land, MDPI, vol. 13(9), pages 1-20, September.
    4. Hillary Mugiyo & Vimbayi G. P. Chimonyo & Mbulisi Sibanda & Richard Kunz & Cecilia R. Masemola & Albert T. Modi & Tafadzwanashe Mabhaudhi, 2021. "Evaluation of Land Suitability Methods with Reference to Neglected and Underutilised Crop Species: A Scoping Review," Land, MDPI, vol. 10(2), pages 1-24, January.
    5. Thaddaeus Obaji Ariom & Elodie Dimon & Eva Nambeye & Ndèye Seynabou Diouf & Oludotun Olusegun Adelusi & Sofiane Boudalia, 2022. "Climate-Smart Agriculture in African Countries: A Review of Strategies and Impacts on Smallholder Farmers," Sustainability, MDPI, vol. 14(18), pages 1-32, September.
    6. Akpoti, Komlavi & Dossou-Yovo, Elliott R. & Zwart, Sander J. & Kiepe, Paul, 2021. "The potential for expansion of irrigated rice under alternate wetting and drying in Burkina Faso," Agricultural Water Management, Elsevier, vol. 247(C).
    7. Danvi, Alexandre & Giertz, Simone & Zwart, Sander J. & Diekkrüger, Bernd, 2017. "Comparing water quantity and quality in three inland valley watersheds with different levels of agricultural development in central Benin," Agricultural Water Management, Elsevier, vol. 192(C), pages 257-270.
    8. Shouqiang Yin & Jing Li & Jiaxin Liang & Kejing Jia & Zhen Yang & Yuan Wang, 2020. "Optimization of the Weighted Linear Combination Method for Agricultural Land Suitability Evaluation Considering Current Land Use and Regional Differences," Sustainability, MDPI, vol. 12(23), pages 1-25, December.

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