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      Adaptation of land management in the Mediterranean under scenarios of irrigation water use and availability

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          Abstract

          Meeting the growing demand for food in the future will require adaptation of water and land management to future conditions. We studied the extent of different adaptation options to future global change in the Mediterranean region, under scenarios of water use and availability. We focused on the most significant adaptation options for semiarid regions: implementing irrigation, changes to cropland intensity, and diversification of cropland activities. We used Conversion of Land Use on Mondial Scale (CLUMondo), a global land system model, to simulate future change to land use and land cover, and land management. To take into account future global change, we followed global outlooks for future population and climate change, and crop and livestock demand. The results indicate that the level of irrigation efficiency improvement is an important determinant of potential changes in the intensity of rain-fed land systems. No or low irrigation efficiency improvements lead to a reduction in irrigated areas, accompanied with intensification and expansion of rain-fed cropping systems. When reducing water withdrawal, total crop production in intensive rain-fed systems would need to increase significantly: by 130% without improving the irrigation efficiency in irrigated systems and by 53% under conditions of the highest possible efficiency improvement. In all scenarios, traditional Mediterranean multifunctional land systems continue to play a significant role in food production, especially in hosting livestock. Our results indicate that significant improvements to irrigation efficiency with simultaneous increase in cropland productivity are needed to satisfy future demands for food in the region. The approach can be transferred to other similar regions with strong resource limitations in terms of land and water.

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          The online version of this article (10.1007/s11027-017-9761-0) contains supplementary material, which is available to authorized users.

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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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            Climate change mitigation: A spatial analysis of global land suitability for clean development mechanism afforestation and reforestation

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              Uncertainty in simulating wheat yields under climate change

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                Author and article information

                Contributors
                +31 20 59 88710 , z.malek@vu.nl
                Journal
                Mitig Adapt Strateg Glob Chang
                Mitig Adapt Strateg Glob Chang
                Mitigation and Adaptation Strategies for Global Change
                Springer Netherlands (Dordrecht )
                1381-2386
                1573-1596
                10 September 2017
                10 September 2017
                2018
                : 23
                : 6
                : 821-837
                Affiliations
                [1 ]ISNI 0000 0004 1754 9227, GRID grid.12380.38, Institute for Environmental Studies (IVM), , VU University Amsterdam, ; De Boelelaan 1085, 1081HV Amsterdam, The Netherlands
                [2 ]ISNI 0000 0001 2259 5533, GRID grid.419754.a, Swiss Federal Institute for Forest Snow and Landscape Research, ; WSL Zürcherstrasse 111, 8903 Birmensdorf, Switzerland
                Author information
                http://orcid.org/0000-0002-6981-6708
                Article
                9761
                10.1007/s11027-017-9761-0
                6054018
                abac54e2-1756-49bf-9a1a-a5130b37ed0c
                © The Author(s) 2017

                Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 21 April 2017
                : 25 August 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004963, Seventh Framework Programme;
                Award ID: 603542
                Award ID: 308393
                Funded by: FundRef http://dx.doi.org/10.13039/501100000781, European Research Council;
                Award ID: 311819
                Award Recipient :
                Categories
                Original Article
                Custom metadata
                © Springer Nature B.V. 2018

                agricultural intensification,global change,irrigation efficiency,land management,land systems,multifunctionality,water resources

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