Your search found 30 records
1 Agarwal, A.; Narain, S. (Eds.) 1997. Dying wisdom: Rise, fall and potential of India's traditional water harvesting systems. New Delhi, India: Centre for Science and Environment. 404p. (State of India's environment: A citizens' report 4)
(Location: IWMI-SA Call no: 631.7 G635 AGA Record No: H020553)
2 Horiuchi, H.; Tsubota, K. (Eds.) 1998. The 4th JIRCAS International Symposium: Sustainable agricultural development compatible with environmental conservation in Asia. Tsukuba, Japan: JIRCAS. v, 225p. (JIRCAS international symposium series no.6)
(Location: IWMI-HQ Call no: 338.1 G696 HOR Record No: H022515)
3 Pande, S.; Maji, A. K.; Johansen, C.; Bantilan, F. T. (Eds.) 2000. GIS application in cropping system analysis - Case studies in Asia: Proceedings of the International Workshop on Harmonization of Databases for GIS Analysis of Cropping Systems in the Asia Region, 18-29 August 1997, ICRISAT, Patancheru, India. Patancheru, India: ICRISAT. 91p.
(Location: IWMI-HQ Call no: 006 G570 PAN Record No: H027621)
4 Gupta, R. K.; Naresh, R. K.; Hobbs, P. R.; Ladha, J. K. 2002. Adopting conservation agriculture in the rice-wheat system of the Indo-Gangetic Plains: new opportunities for saving water. In Bouman, B. A. M.; Hengsdijk, H.; Hardy, B.; Bindraban, P. S.; Tuong, T. P.; Ladha, J. K. (Eds.), Water-wise rice production. Los Baños, Philippines: International Rice Research Institute (IRRI). pp.207-222.
(Location: IWMI-HQ Call no: 631.7.2 G000 BOU Record No: H032430)
(3 MB)
5 Tyagi, N. K.; Sharma, D. K. 2003. Improving wheat productivity in Indo-Gangetic Plains: Constraints and technological options. Unpublished report, Central Soil Salinity Research Institute, Karnal, India. 41p.
(Location: IWMI-HQ Call no: P 6481 Record No: H032787)
(Location: IWMI-HQ Call no: P 6914 Record No: H035081)
(Location: IWMI-HQ Call no: P 7351 Record No: H037080)
8 Dwivedi, R. S. 1992. Monitoring and the study of the effects of image scale on delineation of salt-affected soils in the Indo-Gangetic Plains. International Journal of Remote Sensing, 13(8):1527-1536.
(Location: IWMI-HQ Call no: P 7680 Record No: H039452)
9 Dwivedi, R. S.; Sreenivas, K. 1998. Image transforms as a tool for the study of soil salinity and alkalinity dynamics. International Journal of Remote Sensing, 19(4):605-619.
(Location: IWMI-HQ Call no: P 7681 Record No: H039453)
10 Bandyopadhyay, J. 2006. Integrated water systems management in South Asia: A framework for research. Calcutta, India: Indian Institute of Management Calcutta. 40p. (CDEP occasional paper 9)
(Location: IWMI HQ Call no: 333.91 G570 BAN Record No: H040143)
11 Sengupta, N. 2003. Salinization and the importance of rainwater harvesting. In Chopra, K.; Hanumantha Rao, C. H.; Sengupta, R. (Eds.). Water resources, sustainable livelihoods and eco-system services. New Delhi, India: Concept publishing Company, for Indian Society for Ecological Economics. pp.135-158.
(Location: IWMI HQ Call no: 333.91 G635 CHO Record No: H040950)
12 Pal, D. K.; Bhattacharyya, T.; Chandran, P.; Ray, S. K. 2009. Tectonics-climate-linked natural soil degradation and its impact in rainfed agriculture: Indian experience. In Wani, S. P.; Rockstrom, J.; Oweis, T. (Eds.). Rainfed agriculture: unlocking the potential. Wallingford, UK: CABI; Patancheru, Andhra Pradesh, India: International Crops Research Institute for the Semi-Arid Tropics (ICRISAT); Colombo, Sri Lanka: International Water Management Institute (IWMI) pp.54-72. (Comprehensive Assessment of Water Management in Agriculture Series 7)
(Location: IWMI HQ Call no: IWMI 631.586 G000 WAN Record No: H041993)
(Location: IWMI HQ Call no: 633.18 G570 PAL Record No: H043799)
(10.04 MB) (10.0MB)
(Location: IWMI HQ Call no: e-copy only Record No: H044601)
(0.64 MB)
In this study, an attempt has been made to derive the spatial patterns of temporal trends in phenology metrics and productivity of crops grown, at disaggregated level in Indo-Gangetic Plains of India (IGP), which are helpful in understanding the impact of climatic, ecological and socio-economic drivers. The NOAA-AVHRR NDVI PAL dataset from 1981 to 2001 was stacked as per the crop year and subjected to Savitzky-Golay filtering. For crop pixels, maximum and minimum values of normalized difference vegetation index (NDVI), their time of occurrence and total duration of kharif (June-October) and rabi (November–April) crop seasons were derived for each crop year and later subjected to pixel-wise regression with time to derive the rate and direction of change. The maximum NDVI value showed increasing trends across IGP during both kharif and rabi seasons indicating a general increase in productivity of crops. The trends in time of occurrence of peak NDVI during kharif dominated with rice showed that the maximum vegetative growth stage was happening early with time during study period across most of Punjab, North Haryana, Parts of Central and East Uttar Pradesh and some parts of Bihar and West Bengal. Only central parts of Haryana showed a delay in occurrence of maximum vegetative stage with time. During rabi, no significant trends in occurrence of peak NDVI were observed in most of Punjab and Haryana except in South Punjab and North Haryana where early occurrence of peak NDVI with time was observed. Most parts of Central and Eastern Uttar Pradesh, North Bihar and West Bengal showed a delay in occurrence of peak NDVI with time. In general, the rice dominating system was showing an increase in duration with time in Punjab, Haryana, Western Uttar Pradesh, Central Uttar Pradesh and South Bihar whereas in some parts of North Bihar and West Bengal a decrease in the duration with time was also observed. During rabi season, except Punjab, the wheat dominating system was showing a decreasing trend in crop duration with time.
(Location: IWMI HQ Call no: 631.7.5 G635 NAR Record No: H044743)
(0.32 MB)
16 Amarnath, Giriraj. 2012. Large-scale flood event: global and regional assessment. In Centre for Space Science and Technology Education in Asia and the Pacific (CSSTEAP). International Training Course: Application of Space Technology for Disaster Risk Reduction. Lecture notes. Dehradun, India: Centre for Space Science and Technology Education in Asia and the Pacific (CSSTEAP). pp.187-202.
(Location: IWMI HQ Call no: IWMI Record No: H044891)
(1.04 MB)
(Location: IWMI HQ Call no: e-copy only Record No: H045487)
(305.5KB)
18 Vincent, K.; Cull, T.; Kapoor, A.; Aggarwal, Pramod; Bhatta, Gopal Datt; Lau, C.; Kristjanson, P.; Phartiyal, P.; Parvin, G.; Bisht, S.; Nilormee, S. 2013. Gender, climate change, agriculture and food security: a CCAFS Training-of-Trainers (TOT) manual to prepare South Asian rural women to adapt to climate change. Copenhagen, Denmark: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) 126p.
(Location: IWMI HQ Call no: e-copy only Record No: H046067)
(2.06 MB) (2.06MB)
(Location: IWMI HQ Call no: e-copy only Record No: H046907)
In this paper, the climate change scenarios of A2 and B2 for 2070-2100 time scale (denoted as 2080) for several key locations of India and its impact on rice and wheat crops based on regional climate model (PRECIS) were described. The PRECIS projects an increase in temperature over most parts of India especially in the IGP (Indo-Gangetic Plains), the region that presently experiences relatively low temperatures. Extreme high temperature episodes and rainfall intensity days are projected to become more frequent and the monsoon rainfall is also projected to increase. Rabi (mid Nov-March) season is likely to experience higher increase in temperature which could impact and hence become threat to the crops which really require low temperature for their growth. Climatic variability is also projected to increase in both A2 and B2 scenarios. All these projected changes are likely to reduce the wheat and rice yields in Indo-Gangetic plains of India. It is likely that there will be more number of years with low yields occurs towards the end of the century. Such yield reductions in rice and wheat crops due to climate change are mediated through reduction in crop duration, grain number and grain filling duration. The yield loss will be more in A2 scenario compared to B2. These quantitative estimates still have uncertainties associated with them, largely due to uncertainties in climate change projections, future technology growth, availability of inputs such as water for irrigation, changes in crop management and genotype. These projections nevertheless provide a direction of likely change in crop productivity in future climate change scenarios.
20 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]
(Location: IWMI HQ Call no: e-copy only Record No: H047253)
(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.
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