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Quantifying climate-induced drought risk to livelihood and mitigation actions in Balochistan

Author

Listed:
  • Muhammad Ashraf

    (University of Balochistan)

  • Adnan Arshad

    (China Agricultural University)

  • Praharsh M. Patel

    (The Pennsylvania State University)

  • Adeel Khan

    (TERI School of Advanced Studies)

  • Huma Qamar

    (Ayub Agricultural Research Institute)

  • Ristina Siti-Sundari

    (Perjuangan University)

  • Muhammad Usman Ghani

    (Lanzhou University)

  • Ali Amin

    (Hagler Bailly)

  • Jamilur Rehman Babar

    (University of Balochistan)

Abstract

Climate change-induced disasters show the highest risk for agriculture and livelihoods in rural areas of developing countries. Due to changing rainfall pattern, the arid and semiarid region of Pakistan faces frequent droughts. Farming communities affected by drought disasters are causing serious threats to livelihood, global food crises, environmental migration, and sustainable development. The existing study was designed to quantify two key components through (1) analysis of agrometeorological data (1981–2017) with exploratory data analysis and Mann–Kendall trend analysis; (2) extensive field survey (200 households). The multivariate probit model has been run to detect determinants of coping and adaptive strategies by farmers. Our results showed that the farmers supposed that temperature and rainfall were highly fluctuating in recent years equally. Farmers adopted different coping and adaptive measures that include crop diversification, input adjustment, water management, asset depletion, income diversification, and migration to sustain their livelihood during stress periods. The agrometeorological data analysis revealed that the agricultural vulnerability to drought risks increased significantly, and the survey results projected that 64.7% of the population is exposed to drought directly or indirectly. Sen’s slope quantification resulted in (0.025 °C) rise in temperature, (− 2.936 mm) decline in rainfall year−1. Modeling future scenarios resulted in an increase in temperature up to 0.7 °C, 1.2 °C, and a decrease in precipitation up to 161.48 mm, 103.5 mm in 2040 and 2060. The study evaluated a huge gap in the provision of drought risk resilience services, crop insurance, and climate-smart training practices to build capacities among farmers to cope with the impacts of extreme weather conditions. Our research might provide the groundwork to upgrade actions to drought prevention and early warning in water scarcity areas.

Suggested Citation

  • Muhammad Ashraf & Adnan Arshad & Praharsh M. Patel & Adeel Khan & Huma Qamar & Ristina Siti-Sundari & Muhammad Usman Ghani & Ali Amin & Jamilur Rehman Babar, 2021. "Quantifying climate-induced drought risk to livelihood and mitigation actions in Balochistan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(3), pages 2127-2151, December.
    • Handle: RePEc:spr:nathaz:v:109:y:2021:i:3:d:10.1007_s11069-021-04913-4
    DOI: 10.1007/s11069-021-04913-4
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    References listed on IDEAS

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    1. Geweke, John F. & Keane, Michael P. & Runkle, David E., 1997. "Statistical inference in the multinomial multiperiod probit model," Journal of Econometrics, Elsevier, vol. 80(1), pages 125-165, September.
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    Cited by:

    1. Jiangnan Li & Jieming Chou & Weixing Zhao & Yuan Xu & Yidan Hao & Yuanmeng Li, 2022. "Future Drought and Flood Vulnerability and Risk Prediction of China’s Agroecosystem under Climate Change," Sustainability, MDPI, vol. 14(16), pages 1-25, August.

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