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

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 thr...

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Autores principales: Ashraf, Muhammad, Arshad, Adnan, Patel, Praharsh M., Khan, Adeel, Qamar, Huma, Siti-Sundari, Ristina, Ghani, Muhammad Usman, Amin, Ali, Babar, Jamilur Rehman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8300988/
https://www.ncbi.nlm.nih.gov/pubmed/34334949
http://dx.doi.org/10.1007/s11069-021-04913-4
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author Ashraf, Muhammad
Arshad, Adnan
Patel, Praharsh M.
Khan, Adeel
Qamar, Huma
Siti-Sundari, Ristina
Ghani, Muhammad Usman
Amin, Ali
Babar, Jamilur Rehman
author_facet Ashraf, Muhammad
Arshad, Adnan
Patel, Praharsh M.
Khan, Adeel
Qamar, Huma
Siti-Sundari, Ristina
Ghani, Muhammad Usman
Amin, Ali
Babar, Jamilur Rehman
author_sort Ashraf, Muhammad
collection PubMed
description 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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spelling pubmed-83009882021-07-26 Quantifying climate-induced drought risk to livelihood and mitigation actions in Balochistan Ashraf, Muhammad Arshad, Adnan Patel, Praharsh M. Khan, Adeel Qamar, Huma Siti-Sundari, Ristina Ghani, Muhammad Usman Amin, Ali Babar, Jamilur Rehman Nat Hazards (Dordr) Original Paper 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. Springer Netherlands 2021-07-23 2021 /pmc/articles/PMC8300988/ /pubmed/34334949 http://dx.doi.org/10.1007/s11069-021-04913-4 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Ashraf, Muhammad
Arshad, Adnan
Patel, Praharsh M.
Khan, Adeel
Qamar, Huma
Siti-Sundari, Ristina
Ghani, Muhammad Usman
Amin, Ali
Babar, Jamilur Rehman
Quantifying climate-induced drought risk to livelihood and mitigation actions in Balochistan
title Quantifying climate-induced drought risk to livelihood and mitigation actions in Balochistan
title_full Quantifying climate-induced drought risk to livelihood and mitigation actions in Balochistan
title_fullStr Quantifying climate-induced drought risk to livelihood and mitigation actions in Balochistan
title_full_unstemmed Quantifying climate-induced drought risk to livelihood and mitigation actions in Balochistan
title_short Quantifying climate-induced drought risk to livelihood and mitigation actions in Balochistan
title_sort quantifying climate-induced drought risk to livelihood and mitigation actions in balochistan
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8300988/
https://www.ncbi.nlm.nih.gov/pubmed/34334949
http://dx.doi.org/10.1007/s11069-021-04913-4
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