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Crop Responses to Climate: Time-Series Models

  • David Lobell
Chapter
Part of the Advances in Global Change Research book series (AGLO, volume 37)

Abstract

Time series of annual crop production levels, at scales ranging from experimental trials to regional production totals, are widely available and represent a useful opportunity to understand crop responses to weather variations. This chapter discusses the main techniques of building models from time series and the tradeoffs involved in the many decisions required in the process. A worked example using United States maize production is used to illustrate key concepts.

Keywords

Time Series Time Series Model Maize Yield Climate Response Rainfed Crop 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • David Lobell
    • 1
  1. 1.Stanford UniversityStanfordUSA

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