Articles | Volume 18, issue 3
https://doi.org/10.5194/nhess-18-889-2018
https://doi.org/10.5194/nhess-18-889-2018
Research article
 | 
20 Mar 2018
Research article |  | 20 Mar 2018

The effect of soil moisture anomalies on maize yield in Germany

Michael Peichl, Stephan Thober, Volker Meyer, and Luis Samaniego

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Cited articles

Agriculture Risk Management Team: Weather Index Insurance for Agriculture: Guidance for Development Practitioners, Tech. Rep. November, The World Bank, Washington, 2011.
Akaike, H.: Information theory and an extension of the maximum likelihood principle, in: International Symposium on Information Theory, 267–281, Springer New York, https://doi.org/10.1016/j.econlet.2011.12.027, 1973.
Andresen, J. A., Alagarswamy, G., Rotz, C. A., Ritchie, J. T., and LeBaron, A. W.: Weather impacts on maize, soybean, and alfalfa production in the Great Lakes region, 1895–1996, Agron. J., 93, 1059–1070, https://doi.org/10.2134/agronj2001.9351059x, 2001.
Angrist, J. D. and Pischke, J.-S.: Mostly harmless econometrics: an empiricist's companion, March, Princeton Univers. Press, https://doi.org/10.1057/be.2009.37, 2008.
Annan, F. and Schlenker, W.: Federal Crop Insurance and the Disincentive to Adapt to Extreme Heat, Am. Econ. Rev., 105, 262–266, https://doi.org/10.1257/aer.p20151031, 2015.
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Short summary
Crop yields are routinely derived from meteorological variables, especially temperature. However, the primary water source for plant growth (soil moisture) is neglected. In this study, the predictability of maize yield is investigated using soil moisture or meteorological variables in Germany. The effects of soil moisture dominate those of temperature and are time-dependent. For example, comparatively moist soil conditions in June reduce crop yields, while in August they increase yields.
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