SEARCH

SEARCH BY CITATION

References

  • Carr, J. A., P. D'Odorico, F. Laio, and L. Ridolfi (2012), On the temporal variability of the virtual water network, Geophys. Res. Lett., 39, L06404, doi:10.1029/2012GL051247.
  • Dalin, C., M. Konar, N. Hanasaki, A. Rinaldo, and I. Rodriguez-Iturbe (2012), Evolution of the global virtual water trade network, Proc. Natl. Acad. Sci., 109(16), 59895994, doi:10.1073/pnas.1203176109.
  • deFraiture, C., X. M. Cai, U. Amarasinghe, M. Rosegrant, and D. Molden (2004), Does international cereal trade save water? The impact of virtual water trade on global water use, IWMI Res. Rep. H035342, Int. Water Manage. Inst., Battaramulla, Sri Lanka.
  • D'Odorico, P., J. A. Carr, F. Laio, and L. Ridolfi (2012), Spatial organization and drivers of the virtual water trade: A community-structure analysis, Environ. Res. Lett., 7, 034007, doi:10.1088/1748-9326/7/3/034007.
  • FAO Aquastat (2010), Information System on Water and Agriculture, http://www.fao.org/nr/water/aquastat/main/index.stm, Rome.
  • Field, C., et al. (2012), Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation, Cambridge Univ. Press, Cambridge, U. K.
  • Food and Agriculture Organization of the United Nations (FAO) (2002), World agriculture: Towards 2015/2030, summary report, Rome.
  • Food and Agriculture Organization of the United Nations (FAO) (2010a), Faostat Detailed Trade Matrices, http://faostat.fao.org/site/291/default.aspx, Rome.
  • Food and Agriculture Organization of the United Nations (FAO) (2010b), Faostat Food Supply, http://faostat3.fao.org/home/index.html, Rome.
  • Food and Agriculture Organization of the United Nations (FAO) (2010c), Faostat Database, http://faostat3.fao.org/home/index.html, Rome.
  • Hanasaki, N., S. Kanae, T. Oki, K. Masuda, N. Shirakawa, Y. Shen, and K. Tanaka (2008), An integrated model for the assessment of global water resources—Part 1: Model description and input meteorological forcing, Hydrol. Earth Syst. Sci., 12, 10071025.
  • Intergovernmental Panel on Climate Change (2007), Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, edited by M. L. Parry et al., Cambridge Univ. Press, Cambridge, U. K.
  • Keutelian, H. (1991), The Kolmogorov-Smirnov test when parameters are estimated from data, Rep. CDF 1285, U.S. Dep. of Energy, Washington, D. C.
  • Konar, M., C. Dalin, S. Suweis, N. Hanasaki, A. Rinaldo, and I. Rodriguez-Iturbe (2011), Water for food: The global virtual water trade network, Water Resour. Res., 47, W05520, doi:10.1029/2010WR010307.
  • Konar, M., C. Dalin, N. Hanasaki, A. Rinaldo, and I. Rodriguez-Iturbe (2012), Temporal dynamics of blue and green virtual water trade networks, Water Resour. Res., 48, W07509, doi:10.1029/2012WR011959.
  • Lilliefors, H. W. (1967), On the kolmogorov-smirnov test for normality with mean and variance unknown, J. Am. Stat. Assoc., 62(318), 399402.
  • Meehl, G., C. Covey, T. Delworth, M. Latif, B. McAvaney, J. B. Mitchell, R. Stouffer, and K. Taylor (2007), The WCRP CMIP3 multimodel dataset: A new era in climate change research, Bull. Am. Meteorol. Soc., 88, 13831394.
  • Suweis, S., M. Konar, C. Dalin, N. Hanasaki, A. Rinaldo, and I. Rodriguez-Iturbe (2011), Structure and controls of the global virtual water trade network, Geophys. Res. Lett., 38, L10403, doi:10.1029/2011GL046837.
  • The World Bank (2012), The World Bank Databank, http://data.worldbank.org/indicator, Washington, D. C.
  • Yang, H., L. Wang, K. Abbaspour, and A. Zehnder (2006), Virtual water trade: An assessment of water use efficiency in the international food trade, Hydrol. Earth Syst. Sci., 10, 443454.