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<p>Toposequence analysis is essential for optimizing land use, improving soil and water management, enhancing crop productivity, and promoting climate-resilient agriculture. This study employs an Integrated Toposequence Analysis (ITA) framework to evaluate how variations in topography influence soil characteristics, fertility patterns, and cropping systems in Bankura district, located along the fringe of the Chhota Nagpur Plateau in West Bengal. The landscape was classified into upland, midland, and lowland zones using the weighted sum method, based on elevation, relative relief, and slope. Local soil classifications were further associated with the major Indian soil groups of red and yellow soil, lateritic soil, and alluvial soils. Soil chemical properties were analyzed, and a Soil Fertility (SF) map was generated using logistic regression, while Weaver’s crop combination method was applied to identify dominant cropping patterns. The results reveal a distinct fertility gradient across toposequence units: lowlands exhibit high fertility, uplands show moderate fertility, and midlands demonstrate relatively low fertility. Irrigation availability is most favorable in lowland agricultural fields, whereas upland regions remain predominantly mono-cropped with paddy. However, improved water management, diversification of cropping patterns, and modification of the crop calendar could significantly enhance yield potential in upland areas. The study highlights the importance of incorporating toposequence-based planning into agricultural decision-making and demonstrates that strategic interventions can strengthen soil productivity and food security. Overall, the findings contribute to sustainable agricultural development and support the achievement of UN Sustainable Development Goal 2 (Zero Hunger).</p>

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Integrated toposequence-based assessment for sustainable agriculture in the vulnerable region of Bankura district, West Bengal: a GIS approach for food security and policy pathways

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年6月15日

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  • Indrajit Chowdhuri,
  • Subodh Chandra Pal,
  • Chaitanya Baliram Pande,
  • Aznarul Islam,
  • Abu Reza Md. Towfiqul Islam,
  • Edris Alam,
  • Md Kamrul Islam

摘要

Toposequence analysis is essential for optimizing land use, improving soil and water management, enhancing crop productivity, and promoting climate-resilient agriculture. This study employs an Integrated Toposequence Analysis (ITA) framework to evaluate how variations in topography influence soil characteristics, fertility patterns, and cropping systems in Bankura district, located along the fringe of the Chhota Nagpur Plateau in West Bengal. The landscape was classified into upland, midland, and lowland zones using the weighted sum method, based on elevation, relative relief, and slope. Local soil classifications were further associated with the major Indian soil groups of red and yellow soil, lateritic soil, and alluvial soils. Soil chemical properties were analyzed, and a Soil Fertility (SF) map was generated using logistic regression, while Weaver’s crop combination method was applied to identify dominant cropping patterns. The results reveal a distinct fertility gradient across toposequence units: lowlands exhibit high fertility, uplands show moderate fertility, and midlands demonstrate relatively low fertility. Irrigation availability is most favorable in lowland agricultural fields, whereas upland regions remain predominantly mono-cropped with paddy. However, improved water management, diversification of cropping patterns, and modification of the crop calendar could significantly enhance yield potential in upland areas. The study highlights the importance of incorporating toposequence-based planning into agricultural decision-making and demonstrates that strategic interventions can strengthen soil productivity and food security. Overall, the findings contribute to sustainable agricultural development and support the achievement of UN Sustainable Development Goal 2 (Zero Hunger).