Articles | Volume 18, issue 3
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

Related authors

Machine-learning methods to assess the effects of a non-linear damage spectrum taking into account soil moisture on winter wheat yields in Germany
Michael Peichl, Stephan Thober, Luis Samaniego, Bernd Hansjürgens, and Andreas Marx
Hydrol. Earth Syst. Sci., 25, 6523–6545,,, 2021
Short summary

Related subject area

Risk Assessment, Mitigation and Adaptation Strategies, Socioeconomic and Management Aspects
Multisectoral analysis of drought impacts and management responses to the 2008–2015 record drought in the Colorado Basin, Texas
Stephen B. Ferencz, Ning Sun, Sean W. D. Turner, Brian A. Smith, and Jennie S. Rice
Nat. Hazards Earth Syst. Sci., 24, 1871–1896,,, 2024
Short summary
Simulating multi-hazard event sets for life cycle consequence analysis
Leandro Iannacone, Kenneth Otárola, Roberto Gentile, and Carmine Galasso
Nat. Hazards Earth Syst. Sci., 24, 1721–1740,,, 2024
Short summary
Analysis of the effects of urban micro-scale vulnerabilities on tsunami evacuation using an agent-based model – case study in the city of Iquique, Chile
Rodrigo Cienfuegos, Gonzalo Álvarez, Jorge León, Alejandro Urrutia, and Sebastián Castro
Nat. Hazards Earth Syst. Sci., 24, 1485–1500,,, 2024
Short summary
Factors of influence on flood risk perceptions related to Hurricane Dorian: an assessment of heuristics, time dynamics, and accuracy of risk perceptions
Laurine A. de Wolf, Peter J. Robinson, W. J. Wouter Botzen, Toon Haer, Jantsje M. Mol, and Jeffrey Czajkowski
Nat. Hazards Earth Syst. Sci., 24, 1303–1318,,, 2024
Short summary
Anticipating a risky future: long short-term memory (LSTM) models for spatiotemporal extrapolation of population data in areas prone to earthquakes and tsunamis in Lima, Peru
Christian Geiß, Jana Maier, Emily So, Elisabeth Schoepfer, Sven Harig, Juan Camilo Gómez Zapata, and Yue Zhu
Nat. Hazards Earth Syst. Sci., 24, 1051–1064,,, 2024
Short summary

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,, 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,, 2001.
Angrist, J. D. and Pischke, J.-S.: Mostly harmless econometrics: an empiricist's companion, March, Princeton Univers. Press,, 2008.
Annan, F. and Schlenker, W.: Federal Crop Insurance and the Disincentive to Adapt to Extreme Heat, Am. Econ. Rev., 105, 262–266,, 2015.
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.
Final-revised paper