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Economics of downscaled climate-induced changes in cropland, with projections to 2050: evidence from Yolo County California

Listed author(s):
  • Hyunok Lee

    ()

  • Daniel Sumner

This article establishes quantitative relationships between the evolution of climate and cropland using daily climate data for a century and data on allocation of land across crops for six decades in a specific agro-climatic region of California. These relationships are applied to project how climate scenarios reported by the Intergovernmental Panel on Climate Change would drive cropland patterns into 2050. Projections of warmer winters, particularly from 2035 to 2050, cause lower wheat area and more alfalfa and tomato area. Only marginal changes in area were projected for tree and vine crops, in part because although lower, chill hours remain above critical values. Copyright Springer Science+Business Media Dordrecht 2015

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File URL: http://hdl.handle.net/10.1007/s10584-015-1436-9
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Article provided by Springer in its journal Climatic Change.

Volume (Year): 132 (2015)
Issue (Month): 4 (October)
Pages: 723-737

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Handle: RePEc:spr:climat:v:132:y:2015:i:4:p:723-737
DOI: 10.1007/s10584-015-1436-9
Contact details of provider: Web page: http://www.springer.com

Order Information: Web: http://www.springer.com/economics/journal/10584

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  1. Clark, Todd E. & West, Kenneth D., 2006. "Using out-of-sample mean squared prediction errors to test the martingale difference hypothesis," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 155-186.
  2. Mehta, Vishal K. & Haden, Van R. & Joyce, Brian A. & Purkey, David R. & Jackson, Louise E., 2013. "Irrigation demand and supply, given projections of climate and land-use change, in Yolo County, California," Agricultural Water Management, Elsevier, vol. 117(C), pages 70-82.
  3. Olivier Deschenes & Charles Kolstad, 2011. "Economic impacts of climate change on California agriculture," Climatic Change, Springer, vol. 109(1), pages 365-386, December.
  4. David Lobell & Christopher Field, 2011. "California perennial crops in a changing climate," Climatic Change, Springer, vol. 109(1), pages 317-333, December.
  5. Olivier DeschĂȘnes & Michael Greenstone, 2007. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather," American Economic Review, American Economic Association, vol. 97(1), pages 354-385, March.
  6. Nathan P. Hendricks & Aaron Smith & Daniel A. Sumner, 2014. "Crop Supply Dynamics and the Illusion of Partial Adjustment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(5), pages 1469-1491.
  7. Wolfram Schlenker & W. Michael Hanemann & Anthony C. Fisher, 2006. "The Impact of Global Warming on U.S. Agriculture: An Econometric Analysis of Optimal Growing Conditions," The Review of Economics and Statistics, MIT Press, vol. 88(1), pages 113-125, February.
  8. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
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