Mapping of household vulnerability and identification of adaptation strategies in dryland systems of South Asia
Views
0% 0
Downloads
0 0%
![CC-BY-NC-4.0 CC-BY-NC-4.0](https://licensebuttons.net/l/by-nc/4.0/88x31.png)
Open access
Citation
Suhas Wani, Kuppannan Palanisami, Kakumanu Krishna Reddy, CR Ranganathan, Amare Haileslassie. (1/9/2015). Mapping of household vulnerability and identification of adaptation strategies in dryland systems of South Asia. Hyderabad, India: International Crops Research Institute for the Semi-Arid Tropics (ICRISAT).
Abstract
Low amount and high variability of rainfall in South Asian dryland production system have
affected the livelihood of small and marginal households. Therefore, a marginal change in the
climate could challenge the livelihood resilience of millions of farmers and affect the healthy
ecosystem function in South Asia. The CGIAR Consortium Research Program on Dryland Systems
(DS) focuses on DS across the world in order to tackle these problems. The overall emphasis of
the research involves understanding the problem, identifying and demonstrating technologies
and searching for mechanisms to promote the adoption of promising technologies. In South
Asia, the program selected six districts in Andhra Pradesh (Anantapur and Kurnool), Karnataka
(Bijapur) and Western Rajasthan (Jaisalmer, Barmer, and Jodhpur) as action sites.
The overall objectives of the present study are to map the vulnerability at household level and
examine the level of coping strategies adopted by them and to investigate the impact of different
adaptation strategies in reducing the level of vulnerability in the South Asian DS action sites. The
study covers all the six districts as mentioned earlier, and the data was collected from farmers in 15
villages located in the action districts. A total of 1019 farmers were randomly selected, and the survey
was executed during 2012-13 and the data collected was related to the production year of 2011-12.
Permanent link
DOI
Other URI
Author(s) ORCID(s)
Palanisami, Kuppannan https://orcid.org/0000-0001-7330-7431
Krishna Reddy, Kakumanu https://orcid.org/0000-0002-8177-1610
Haileslassie, Amare https://orcid.org/0000-0001-5237-9006
Krishna Reddy, Kakumanu https://orcid.org/0000-0002-8177-1610
Haileslassie, Amare https://orcid.org/0000-0001-5237-9006