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      Constraints and potentials of future irrigation water availability on agricultural production under climate change

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          Significance

          Freshwater availability is relevant to almost all socioeconomic and environmental impacts of climate and demographic change and their implications for sustainability. We compare ensembles of water supply and demand projections driven by ensemble output from five global climate models. Our results suggest reasons for concern. Direct climate impacts to maize, soybean, wheat, and rice involve losses of 400–2,600 Pcal (8–43% of present-day total). Freshwater limitations in some heavily irrigated regions could necessitate reversion of 20–60 Mha of cropland from irrigated to rainfed management, and a further loss of 600–2,900 Pcal. Freshwater abundance in other regions could help ameliorate these losses, but substantial investment in infrastructure would be required.

          Abstract

          We compare ensembles of water supply and demand projections from 10 global hydrological models and six global gridded crop models. These are produced as part of the Inter-Sectoral Impacts Model Intercomparison Project, with coordination from the Agricultural Model Intercomparison and Improvement Project, and driven by outputs of general circulation models run under representative concentration pathway 8.5 as part of the Fifth Coupled Model Intercomparison Project. Models project that direct climate impacts to maize, soybean, wheat, and rice involve losses of 400–1,400 Pcal (8–24% of present-day total) when CO 2 fertilization effects are accounted for or 1,400–2,600 Pcal (24–43%) otherwise. Freshwater limitations in some irrigated regions (western United States; China; and West, South, and Central Asia) could necessitate the reversion of 20–60 Mha of cropland from irrigated to rainfed management by end-of-century, and a further loss of 600–2,900 Pcal of food production. In other regions (northern/eastern United States, parts of South America, much of Europe, and South East Asia) surplus water supply could in principle support a net increase in irrigation, although substantial investments in irrigation infrastructure would be required.

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          Most cited references45

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          An Overview of CMIP5 and the Experiment Design

          The fifth phase of the Coupled Model Intercomparison Project (CMIP5) will produce a state-of-the- art multimodel dataset designed to advance our knowledge of climate variability and climate change. Researchers worldwide are analyzing the model output and will produce results likely to underlie the forthcoming Fifth Assessment Report by the Intergovernmental Panel on Climate Change. Unprecedented in scale and attracting interest from all major climate modeling groups, CMIP5 includes “long term” simulations of twentieth-century climate and projections for the twenty-first century and beyond. Conventional atmosphere–ocean global climate models and Earth system models of intermediate complexity are for the first time being joined by more recently developed Earth system models under an experiment design that allows both types of models to be compared to observations on an equal footing. Besides the longterm experiments, CMIP5 calls for an entirely new suite of “near term” simulations focusing on recent decades and the future to year 2035. These “decadal predictions” are initialized based on observations and will be used to explore the predictability of climate and to assess the forecast system's predictive skill. The CMIP5 experiment design also allows for participation of stand-alone atmospheric models and includes a variety of idealized experiments that will improve understanding of the range of model responses found in the more complex and realistic simulations. An exceptionally comprehensive set of model output is being collected and made freely available to researchers through an integrated but distributed data archive. For researchers unfamiliar with climate models, the limitations of the models and experiment design are described.
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            The representative concentration pathways: an overview

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              The next generation of scenarios for climate change research and assessment.

              Advances in the science and observation of climate change are providing a clearer understanding of the inherent variability of Earth's climate system and its likely response to human and natural influences. The implications of climate change for the environment and society will depend not only on the response of the Earth system to changes in radiative forcings, but also on how humankind responds through changes in technology, economies, lifestyle and policy. Extensive uncertainties exist in future forcings of and responses to climate change, necessitating the use of scenarios of the future to explore the potential consequences of different response options. To date, such scenarios have not adequately examined crucial possibilities, such as climate change mitigation and adaptation, and have relied on research processes that slowed the exchange of information among physical, biological and social scientists. Here we describe a new process for creating plausible scenarios to investigate some of the most challenging and important questions about climate change confronting the global community.
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                Author and article information

                Journal
                Proceedings of the National Academy of Sciences
                Proc. Natl. Acad. Sci. U.S.A.
                Proceedings of the National Academy of Sciences
                0027-8424
                1091-6490
                March 04 2014
                December 16 2013
                March 04 2014
                : 111
                : 9
                : 3239-3244
                Affiliations
                [1 ]University of Chicago Computation Institute, Chicago, IL 60637;
                [2 ]Math and Computer Science Division, Argonne National Laboratory, Lemont, IL 60439;
                [3 ]Columbia University Center for Climate Systems Research, New York, NY 10025;
                [4 ]Tyndall Center for Climate Change Research, University of East Anglia, Norwich NR4 7TJ, United Kingdom;
                [5 ]Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany;
                [6 ]Department of the Geophysical Sciences, University of Chicago, Chicago, IL 60637;
                [7 ]Center for Environmental Systems Research, University of Kassel, 34109 Kassel, Germany;
                [8 ]Department of Physical Geography, Utrecht University, 3584 CS, Utrecht, The Netherlands;
                [9 ]The City College of New York, New York, NY 10031;
                [10 ]Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland;
                [11 ]University of Nottingham, Nottingham NG7 2RD, United Kingdom;
                [12 ]Norwegian Water Resources and Energy Directorate, N-0301 Oslo, Norway;
                [13 ]Ecosystems Services and Management Program (ESM), International Institute for Applied Systems Analysis (IIASA), 2361 Laxenburg, Austria;
                [14 ]Wageningen University and Research Centre, 6708 PB, Wageningen, The Netherlands;
                [15 ]National Institute for Environmental Studies, Tsukuba 305-8506, Japan;
                [16 ]Lund University, 223 62 Lund, Sweden;
                [17 ]National Aeronautics and Space Administration Goddard Institute for Space Studies, New York, NY 10025;
                [18 ]University of Tokyo, Tokyo 153-8505, Japan;
                [19 ]University of Natural Resources and Life Sciences, 1180 Vienna, Austria;
                [20 ]Max Planck Institute for Meteorology, 20146 Hamburg, Germany;
                [21 ]Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; and
                [22 ]Center for Development Research, University of Bonn, 53113 Bonn, Germany
                Article
                10.1073/pnas.1222474110
                3948288
                24344283
                6317a6b7-2f39-4a74-b711-09daaee5a1fd
                © 2014
                History

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