Statistical Methods for Estimating Yield Changes Attributable to Climate Change

  • S. Niggol Seo


This chapter provides a review of the literature of statistical methods for estimating yield/productivity changes of major crops, plants, and other resources that are attributable to climate change. A host of statistical yield estimation techniques were developed as an effort to describe yield changes of staple crops of the world such as corn, wheat, rice, soybeans, and cotton. The statistical techniques were originated because climate researchers wanted to make use of the readily available national yield data such as the US agricultural census. In contrast to the field/laboratory experiments reviewed in the previous chapter, applications of the statistical techniques have resulted in the predictions of extremely severe losses of yields of grains caused by future climate changes. This chapter explains underlying factors that may explain the discrepancies between the predictions from this tradition and those from other traditions. The empirical results from the yield statistical studies were interpreted in the context of providing a rationale for the GCF’s funding allocations into vulnerable major crops.


Statistical methods Crop yields Staple crops Crop growth Field experiment GCF 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • S. Niggol Seo
    • 1
  1. 1.Muaebak Institute of Global Warming StudiesSeorim-dong, Gwanak-gu, SeoulKorea

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