Modeling Water Management and Food Security in India under Climate Change

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cg.contributor.crpClimate Change, Agriculture and Food Securityen_US
cg.coverage.countryIndiaen_US
cg.coverage.iso3166-alpha2INen_US
cg.coverage.regionAsiaen_US
cg.coverage.regionSouthern Asiaen_US
cg.howPublishedFormally Publisheden_US
cg.identifier.doihttps://doi.org/10.2134/advagricsystmodel5.c11en_US
cg.isbn978-0-89118-344-0en_US
cg.issn2163-2790en_US
cg.subject.ccafsCLIMATE-SMART TECHNOLOGIES AND PRACTICESen_US
dc.contributor.authorIslam Aen_US
dc.contributor.authorShirsath, Paresh Bhaskaren_US
dc.contributor.authorKumer SNen_US
dc.contributor.authorSubash Nen_US
dc.contributor.authorSikka, Alok Kumaren_US
dc.contributor.authorAggarwal, Pramod K.en_US
dc.date.accessioned2015-09-16T16:51:34Zen_US
dc.date.available2015-09-16T16:51:34Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/68149en_US
dc.titleModeling Water Management and Food Security in India under Climate Changeen_US
dcterms.abstractClimate change and variability will impact water availability and the food security of India. Trend analyses of historical data indicate an increase in temperature and changes in rainfall pattern in different parts of the country. The general circulation models (GCMs) also project increased warming and changes in precipitation patterns over India. This chapter presents examples of model applications in water management and crop yield simulation in India, focusing on climate change impact assessment. Simulation models have been successfully applied for rotational water allocation, deficit irrigation scheduling, etc. in different canal commands. Application of a universal soil loss equation in a distributed parametric modeling approach by partitioning watershed into erosion response units suggests that by treating only 14% of the watershed area, a 47% reduction in soil loss can be achieved. Simulation studies conducted using different hydrological models with different climate change projections and downscaling approaches showed varied hydrological responses of different river basins to the future climate change scenarios, depending on the hydrological model, climate change scenarios, and downscaling approaches used. Crop yield modeling showed decreases in irrigated and rainfed rice (Oryza sativa L.) yields under the future climate change scenarios, but the decrease is marginal for rainfed rice. Maize (Zea mays L.) yields in monsoon may be adversely affected by a rise in atmospheric temperature, but increased rain can partly offset those losses. Wheat (Triticum aestivum L.) yields are likely to be reduced by 6 to 23% and 15 to 25% during the 2050s and 2080s, respectively. A combined bottom-up participatory process and top-down integrated modeling tool could provide valuable information for locally relevant climate change adaptation planning.en_US
dcterms.accessRightsLimited Accessen_US
dcterms.available2015-10-26en_US
dcterms.bibliographicCitationIslam A, Shirsath PB, Kumar SN, Subash N, Sikka AK, Aggarwal PK. 2014. Modeling Water Management and Food Security in India under Climate Change. In: Practical Applications of Agricultural System Models to Optimize the Use of Limited Water. Advances in Agricultural Systems Modeling p. 267–316. American Society of Agronomy, Inc., Crop Science Society of America, Inc., and Soil Science Society of America, Inc.en_US
dcterms.extentp. 267-315en_US
dcterms.issued2014en_US
dcterms.languageenen_US
dcterms.publisherWileyen_US
dcterms.subjectclimate changeen_US
dcterms.subjectagricultureen_US
dcterms.subjectfood securityen_US
dcterms.subjectwater availabilityen_US
dcterms.subjectcrop yielden_US
dcterms.subjectwater managementen_US
dcterms.typeBook Chapteren_US

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