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Understanding vulnerability of agricultural production system to climatic stressors in North Indian Plains: a meso-analysis

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  • Bishwa Bhaskar Choudhary

    (ICAR-Indian Grassland and Fodder Research Institute)

  • Smita Sirohi

    (ICAR-National Dairy Research Institute)

Abstract

The present study has mapped the hot spots vulnerable to changing climate and identified the underlying driving indicators in subtropical Trans and Upper Gangetic plains (TUGP) of India. The long-term trends indicate that the area between latitude 25 and 28° N has been more exposed to adverse climatic changes especially rise in maximum summer/monsoon and minimum winter temperatures. The more predominant correlates of vulnerability in the region come not from the exposure to adverse meteorological conditions but from prevailing socio-economic conditions (adaptive capacity) and the increased environmental pressure (sensitivity). Among the top 40 most vulnerable districts in the TUGP, in about two-third, the exposure was at moderate to low level, but sensitivity was high and adaptive capacity very weak. Among the sensitivity indicators, the factor loadings, obtained through modified principal component technique, were high for average size of landholdings, Temperature Humidity Index load and productivity of paddy and wheat crops. Irrigation intensity, farm mechanization, cropping intensity, livestock density, proportion of milch animals stock, rural literacy rate and veterinary institutions were the critical factors in determining the adaptive capacity of a district. The study outlines range of research and policy imperatives for enhancing resilience of crop–livestock production system.

Suggested Citation

  • Bishwa Bhaskar Choudhary & Smita Sirohi, 2022. "Understanding vulnerability of agricultural production system to climatic stressors in North Indian Plains: a meso-analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 13522-13541, December.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:12:d:10.1007_s10668-021-01997-7
    DOI: 10.1007/s10668-021-01997-7
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    1. Raj bahadur Singh Chandel & Aftab Khan & Xiaojing Li & Xianli Xia, 2022. "Farm-Level Technical Efficiency and Its Determinants of Rice Production in Indo-Gangetic Plains: A Stochastic Frontier Model Approach," Sustainability, MDPI, vol. 14(4), pages 1-16, February.

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