Livelihood vulnerability approach to assessing climate change impacts on mixed agro-livestock smallholders around the Gandaki River Basin in Nepal |
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Authors: | Jeeban Panthi Suman Aryal Piyush Dahal Parashuram Bhandari Nir Y Krakauer Vishnu Prasad Pandey |
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Institution: | 1.The Small Earth Nepal (SEN),Kathmandu,Nepal;2.International Centre for Applied Climate Sciences, and Faculty of Business, Education, Law and Arts,University of Southern Queensland,Toowoomba,Australia;3.Central Department of Environmental Science,Tribhuvan University,Kirtipur, Kathmandu,Nepal;4.Department of Civil Engineering and NOAA-CREST,The City College of New York,New York,USA;5.Asian Institute of Technology and Management (AITM),Lalitpur/Patan,Nepal;6.Asian Institute of Technology (AIT),Klong Luang,Thailand |
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Abstract: | Climate change vulnerability depends upon various factors and differs between places, sectors and communities. People in developing countries whose subsistence livelihood depends mainly upon agriculture and livestock production are identified as particularly vulnerable. Nepal, where the majority of people are in a mixed agro-livestock system, is identified as the world’s fourth most vulnerable country to climate change. However, there is limited knowledge on how vulnerable mixed agro-livestock smallholders are and how their vulnerability differs across different ecological regions in Nepal. This study aims to test two vulnerability assessment indices, livelihood vulnerability index and IPCC vulnerability index, around the Gandaki River Basin of central Nepal. A total of 543 households practicing mixed agro-livestock were surveyed from three districts, namely Dhading, Syangja and Kapilvastu representing three major ecological zones: mountain, mid-hill and Terai (lowland). Data on socio-demographics, livelihood determinants, social networks, health, food and water security, natural disasters and climate variability were collected and combined into the indices. Both indices differed for mixed agro-livestock smallholders across the three districts, with Dhading scoring as the most vulnerable and Syangja the least. Substantial variation across the districts was observed in components, sub-components and three dimensions (exposure, sensitivity and adaptive capacity) of vulnerability. The findings help in designing site-specific intervention strategies to reduce vulnerability of mixed agro-livestock smallholders to climate change. |
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