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Theoretical and Applied Climatology

, Volume 134, Issue 3–4, pp 1005–1014 | Cite as

Predictive value of Keetch-Byram Drought Index for cereal yields in a semi-arid environment

  • Nasrin Salehnia
  • Hossein Zare
  • Sohrab Kolsoumi
  • Mohammad Bannayan
Original Paper

Abstract

Meteorological drought indices associated with soil moisture status have potential for varying applications including predictive power for crop yields estimation. The Keetch-Byram Drought Index (KBDI) was initially developed to estimate forest flammability, based on quantification of the moisture deficiency in upper soil layer as a function of daily precipitation and maximum air temperature. In this study, we characterized the utility of KBDI to accurately trace and monitor vegetation change and crop yield fluctuation in a semi-arid environment. It is tried to find any temporal association for both the 16-day MODIS-derived NDVI and KBDI from 2002 to 2012 and the correlation between KBDI and wheat and barley yield from 1984 to 2010. Correlation between KBDI and NDVI showed a general seasonal pattern with strongest correlation in mid-growing season, but this varied across study locations. Warmer locations with very sparse vegetation showed weaker association between KBDI and NDVI. Although a robust correlation between KBDI and winter cereal crop yield was not achieved based on winter (wet and cold season) data, spring cereal crop yield was correlated with KBDI.

Notes

Acknowledgements

We would like to thank K. Grace Crummer (Institute for Sustainable Food Systems, University of Florida) for editing the manuscript to improve the language.

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Copyright information

© Springer-Verlag GmbH Austria, part of Springer Nature 2017

Authors and Affiliations

  1. 1.Faculty of AgricultureFerdowsi University of MashhadMashhadIran

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