Cited by 55Climate change impacts on agricultureAgricultural risk and resilienceHydrology and Drought Analysis

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

Open access
Ashraf, Muhammad, Arshad, Adnan, Patel, Praharsh M., Khan, Adeel, Qamar, Huma, Siti-Sundari, Ristina, Ghani, Muhammad Usman, Amin, Ali +1 more·2021·Natural Hazards

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. Supplementary information The online version contains supplementary material available at 10.1007/s11069-021-04913-4.

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  • Water stress must be interpreted in relation to demand, because scarcity is shaped by reduced supply and by rising withdrawals from agriculture, industry, and urban growth.

    “The literature also emphasizes that water stress must be interpreted in relation to demand, because scarcity is shaped not only by reduced supply but also by rising withdrawals from agriculture, industry, and urban growth (Ashraf et al., 2021).”

    From Climate Security, Water Governance, and Resilience How Climate-Induced Water Stress and Migration Challenge State Capacity (2026) · cites this paper as Ashraf et al., 2021

    The Results and discussion sections on on-farm adaptation and empirical modeling link declining rainfall and increased agricultural groundwater extraction to water scarcity in Balochistan; they also mention population growth as a non-climatic factor. Our copy does not establish rising industrial or urban water withdrawals, or explicitly frame water stress as a measure relative to demand. The claim therefore extends beyond what this source supports. (LLM, conf=0.87)

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Research works printed but not linked: 26

  1. Abid M Schilling J Scheffran J Zulfiqar F Climate change vulnerability, adaptation and risk perceptions at farm level in Punjab, Pakistan Sci Total Environ 2016 10.1016/j.scitotenv.2015.11.125 26836405 · DOI
  2. Ahmad I Tang D Wang T Precipitation trends over time using Mann-Kendall and spearman’s Rho tests in swat river basin, Pakistan Adv Meteorol 2015 10.1155/2015/431860 · DOI
  3. Ahmed K Shahid S Harun S Wang X jun, Characterization of seasonal droughts in Balochistan Province, Pakistan Stoch Environ Res Risk Assess 2016 10.1007/s00477-015-1117-2 · DOI
  4. Ahmed Nomman M Schmitz M Economic assessment of the impact of climate change on the agriculture of Pakistan Bus Econ Horizons 2011 10.15208/beh.2011.1 · DOI
  5. Ali A Erenstein O Assessing farmer use of climate change adaptation practices and impacts on food security and poverty in Pakistan Clim Risk Manag 2017 10.1016/j.crm.2016.12.001 · DOI · Paper page
  6. Arshad A Ashraf M Sundari RS Vulnerability assessment of urban expansion and modelling green spaces to build heat waves risk resiliency in Karachi Int J Disast Risk Reduct 2020 10.1016/j.ijdrr.2019.101468 · DOI
  7. Ashraf M Routray JK Perception and understanding of drought and coping strategies of farming households in north-west Balochistan Int J Disast Risk Reduct 2013 10.1016/j.ijdrr.2013.05.002 · DOI
  8. Ashraf M Routray JK Spatio-temporal characteristics of precipitation and drought in Balochistan Province, Pakistan Nat Hazards 2015 10.1007/s11069-015-1593-1 · DOI
  9. Balogun AL Marks D Sharma R Assessing the potentials of digitalization as a tool for climate change adaptation and sustainable development in urban centres Sustain Cities Soc 2020 10.1016/j.scs.2019.101888 · DOI · Paper page
  10. Bandara JS Cai Y The impact of climate change on food crop productivity, food prices and food security in South Asia Econ Anal Policy 2014 10.1016/j.eap.2014.09.005 · DOI
  11. Beniston M Stephenson DB Christensen OB Future extreme events in European climate: an exploration of regional climate model projections Clim Change 2007 10.1007/s10584-006-9226-z · DOI
  12. Cisse A Arshad A Wang X Contrasting impacts of long-term application of biofertilizers and organic manure on grain yield of winter wheat in north China plain Agronomy 2019 10.3390/agronomy9060312 · DOI
  13. Geweke JF Keane MP Runkle DE Statistical inference in the multinomial multiperiod probit model J Econom 1997 10.1016/S0304-4076(97)00005-5 · DOI
  14. Hussain M Mahmud I pyMannKendall: a python package for non parametric Mann Kendall family of trend tests J Open Source Softw 2019 10.21105/joss.01556 · DOI
  15. Imran MA Ali A Ashfaq M Impact of Climate Smart Agriculture (CSA) practices on cotton production and livelihood of farmers in Punjab, Pakistan Sustain 2018 10.3390/su10062101 · DOI
  16. Jamro S Channa FN Dars GH Exploring the evolution of drought characteristics in Balochistan, Pakistan Appl Sci 2020 10.3390/app10030913 · DOI
  17. Kaushik G Sharma KC Climate change and rural livelihoods-adaptation and vulnerability in Rajasthan Glob Nest J 2015 10.30955/gnj.001376 · DOI
  18. Keshavarz M Maleksaeidi H Karami E Livelihood vulnerability to drought: a case of rural Iran Int J Disaster Risk Reduct 2017 10.1016/j.ijdrr.2016.12.012 · DOI
  19. Khan S, Mu J, Jamnani MAR, et al (2005) Modeling water futures using food security and environmental sustainability approaches. In: MODSIM05: International congress on modelling and simulation: advances and applications for management and decision making, proceedings
  20. Khan N Sachindra DA Shahid S Prediction of droughts over Pakistan using machine learning algorithms Adv Water Resour 2020 10.1016/j.advwatres.2020.103562 · DOI
  21. Lembi RC Cronemberger C Picharillo C Urban expansion in the Atlantic forest: applying the nature futures framework to develop a conceptual model and future scenarios Biota Neotrop 2020 10.1590/1676-0611-bn-2019-0904 · DOI
  22. Murthy CS Laxman B Sesha Sai MVR Geospatial analysis of agricultural drought vulnerability using a composite index based on exposure, sensitivity and adaptive capacity Int J Disaster Risk Reduct 2015 10.1016/j.ijdrr.2015.01.004 · DOI
  23. Naz F Dars GH Ansari K Drought trends in Balochistan Water 2020 10.3390/w12020470 · DOI
  24. Senyolo MP Long TB Blok V Omta O How the characteristics of innovations impact their adoption: an exploration of climate-smart agricultural innovations in South Africa J Clean Prod 2018 10.1016/j.jclepro.2017.06.019 · DOI
  25. Udmale P Ichikawa Y Manandhar S Farmers’ perception of drought impacts, local adaptation and administrative mitigation measures in Maharashtra State, India Int J Disaster Risk Reduct 2014 10.1016/j.ijdrr.2014.09.011 · DOI
  26. Yokomatsu M Ishiwata H Sawada Y A multi-sector multi-region economic growth model of drought and the value of water: a case study in Pakistan Int J Disaster Risk Reduct 2020 10.1016/j.ijdrr.2019.101368 · DOI

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Authors
Ashraf, M., Arshad, A., Patel, P. M., Khan, A., Qamar, H., Siti-Sundari, R., Ghani, M. U., Amin, A., & Babar, J. R.
Affiliations
  • University of Balochistan (PK)
  • China Agricultural University (CN)
  • Pennsylvania State University (US)
  • TERI University (IN)
  • Ayub Agriculture Research Institute (PK)
  • State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems (CN)
Corresponding author
  • Ashraf, Muhammad
  • Arshad, Adnan
Venue
Natural Hazards
Published
2021-07-23
Volume
109
Issue
3
Pages
2127-2151
ISSN
  • 0921-030X (ISSN-L)
  • 1573-0840
OpenAlex
W3183580065
Cited by
55
References
1
Citations by year
2026: 13 · 2025: 18 · 2024: 10 · 2023: 7 · 2022: 6 · 2021: 1
FWCI
4.45
Type
journal article
Language
en
Open access
Locations
  • Natural Hazards (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Lanzhou University Institutional Repository (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
National Defense Medical College
Topics
  • Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Climate change impacts on agriculture
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Agricultural risk and resilience
  • Physical Sciences › Environmental Science › Global and Planetary Change › Hydrology and Drought Analysis
Keywords
drought risk, climate change impacts, farmer livelihoods, coping strategies, adaptation strategies, agricultural vulnerability, rainfall decline, temperature rise, crop diversification, water management, climate-smart agriculture, drought early warning, Balochistan, rural households

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