Your search found 5 records
1 Ojha, H. R.; Sulaiman, R. V.; Sultana, P.; Dahal, K.; Thapa, D.; Mittal, N.; Thompson, P.; Bhatta, G. D.; Ghimire, L.; Aggarwal, P.. 2014. Is South Asian agriculture adapting to climate change?: evidence from the Indo-Gangetic Plains. Agroecology and Sustainable Food Systems, 38:505-531. [doi: https://doi.org/10.1080/21683565.2013.841607]
Climate change ; Weather hazards ; Adaptation ; Agriculture ; Cropping systems ; Farmers ; Technological changes ; Socioeconomic environment ; Case studies / South Asia / India / Pakistan / Bangladesh / Nepal / Punjab / Indo-Gangetic Plains
(Location: IWMI HQ Call no: e-copy only Record No: H047253)
https://vlibrary.iwmi.org/pdf/H047253.pdf
(0.35 MB)
Despite growing scientific consensus that agriculture is affected by climate change and variability, there is still limited knowledge on how agricultural systems respond to climate risks under different circumstances. Drawing on three case studies conducted in the Indo-Gangetic Plains, covering Nepal, Bangladesh, and the Indian state of Punjab, this article analyzes agricultural adaptation practices to climate change. In particular, we examine how farmers and other agricultural actors understand and respond to climate change. We identify a variety of adaptation practices related to changes in cropping system, technological innovations, and institutional changes. We also explore key challenges related to such emerging adaptive innovation processes in the region.

2 Corner-Dolloff, C.; Aggarwal, P.; Forch, W.; Rodriguez, A.-M., L.; Rosenstock, T.; Girvetz, E.; Frid-Nielsen, S.; Lacombe, Guillaume; Millan, A. 2016. National planning. In Dinesh, D. (Ed). Adaptation measures in agricultural systems: messages to SBSTA 44 Agriculture Workshops. Copenhagen, Denmark: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) pp.19-28. (CCAFS Working Paper 145)
Climate change ; Adaptation ; Decision making ; Investment ; Farming systems ; Capacity building ; Planning ; Natural resources ; Resilience ; Sustainability ; Case studies / Mali / Latin America / Uruguay
(Location: IWMI HQ Call no: e-copy only Record No: H047658)
https://cgspace.cgiar.org/rest/bitstreams/66936/retrieve
https://vlibrary.iwmi.org/pdf/H047658.pdf
(9 MB)

3 Amarnath, Giriraj; Alahacoon, Niranga; Smakhtin, V.; Aggarwal, P.. 2017. Mapping multiple climate-related hazards in South Asia. Colombo, Sri Lanka: International Water Management Institute (IWMI). 41p. (IWMI Research Report 170) [doi: https://doi.org/10.5337/2017.207]
Climate change adaptation ; Natural disasters ; Weather hazards ; Mapping ; Flooding ; Drought ; Rain ; Erosion ; Temperature ; Sea level ; Water levels ; Coastal area ; Sloping land ; Tsunamis ; Agriculture ; Impact assessment ; Population ; Risk management ; Socioeconomic environment ; Land cover / South Asia / India / Bangladesh / Sri Lanka / Pakistan / Nepal / Bhutan
(Location: IWMI HQ Call no: IWMI Record No: H048140)
http://www.iwmi.cgiar.org/Publications/IWMI_Research_Reports/PDF/pub170/rr170.pdf
(6.07 MB)
This Research Report presents the first comprehensive overview of the multiple climate hazard risks, and the proposed key issues and challenges facing the South Asian region. This report suggests methods for mapping such risks and estimating their impacts on people and agriculture in South Asia. Regional, country-wise and sub-national assessment of five climate-related risks – floods, droughts, extreme rainfall, extreme temperature and sea-level rise – is carried out. The approach involves overlaying climate hazard, sensitivity and adaptive capacity maps, and follows the vulnerability assessment framework of the Intergovernmental Panel on Climate Change (IPCC). A combined index based on hazard, exposure and adaptive capacity is introduced to identify areas susceptible to extreme risk. There is a lack of a systematic and comprehensive risk assessment capturing multiple climate hazards for the entire South Asian region and the need for a common framework for risk assessment. While this approach is well grounded in theories and integration of various spatial data including remote sensing data to derive hazard information, there is a clear need for linking additional elements from the ground at a finer scale among various sectors in developing comprehensive risk assessment information for a disaster risk management plan and promoting risk financing strategies.

4 Amarnath, Giriraj; Yoshimoto, Shuhei; Goto, O.; Fujihara, M.; Smakhtin, V.; Aggarwal, P.; Ravan, S. 2017. Global trends in water-related disasters using publicly available database for hazard and risk assessment. In Japan Rainwater Catchment Systems Association (Ed). Proceedings of the 24th Japan Rainwater Catchment Systems Association Annual Congress, Kyoto, Japan, 29-30 October 2016. Kyoto, Japan: Japan Rainwater Catchment Systems Association. pp.79-82.
Waterborne diseases ; Risk assessment ; Health hazards ; Flooding ; Agricultural production ; Databases ; Economic aspects ; Socioeconomic environment
(Location: IWMI HQ Call no: e-copy only Record No: H048407)
https://publications.iwmi.org/pdf/H048407.pdf
(832 MB)

5 Prathapar, S. A.; Rajmohan, N.; Sharma, Bharat R.; Aggarwal, P.. 2018. Vertical drains to minimize duration of seasonal waterlogging in Eastern Ganges Basin flood plains: a field experiment. Natural Hazards, 92(1):1-17. [doi: https://doi.org/10.1007/s11069-018-3188-0]
Waterlogging ; Water levels ; Water table ; Groundwater ; Aquifers ; Floodplains ; River basins ; Seasonal changes ; Agricultural land ; Vertical movement ; Drainage ; Farmers ; Infiltration ; Soil sampling ; Monsoon climate ; Rain ; Fluctuations ; Canals ; Flow discharge / Tibet / Nepal / India / Bangladesh / Bihar / Vaishali District / Mukundpur Village / Ganges Basin
(Location: IWMI HQ Call no: e-copy only Record No: H048907)
https://vlibrary.iwmi.org/pdf/H048907.pdf
In the Ganges basin, 8268.6 km2 of irrigation command area is waterlogged following monsoon rains. In this study, vertical drain (VD) (L × D, 7 × 1 m) filled with drainage gravel (6.5 m) and coarse sand (0.5 m) is installed in farmer’s agricultural field to minimize the duration of seasonal waterlogging and tested in Mukundpur village, Vaishalli District, Bihar, India. At the experimental site, inundation of rainfall and runoff from surrounding areas along with the seepage from an earthen canal start in September and remain till February, every year which prevents timely planting of wheat in November-end/December. Drainage due to percolation and recharge to groundwater is constrained by 6.4-m thick clay layer, below 0.5-m root-zone, and the groundwater level, which rises to the surface level. VDs were installed to provide a path and allow inundated water to recharge the aquifer, as groundwater level recedes. Groundwater level drop, floodwater infiltration rate, groundwater discharge, and VD capability were estimated through field data. Results show that VDs connected the floodwater to groundwater and transferred the floodwater to the aquifer when groundwater level started to recede. The site was fully drained by the end of December, permitting farmers to plant wheat in January providing cool nights at germination, thus increasing yields.

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