Past crops yield dynamics reconstruction from tree-ring chronologies in the forest-steppe zone based on low- and high-frequency components

Int J Biometeorol. 2018 May;62(5):861-871. doi: 10.1007/s00484-017-1488-9. Epub 2017 Dec 15.

Abstract

Interrelations of the yield variability of the main crops (wheat, barley, and oats) with hydrothermal regime and growth of conifer trees (Pinus sylvestris and Larix sibirica) in forest-steppes were investigated in Khakassia, South Siberia. An attempt has been made to understand the role and mechanisms of climatic impact on plants productivity. It was found that amongst variables describing moisture supply, wetness index had maximum impact. Strength of climatic response and correlations with tree growth are different for rain-fed and irrigated crops yield. Separated high-frequency variability components of yield and tree-ring width have more pronounced relationships between each other and with climatic variables than their chronologies per se. Corresponding low-frequency variability components are strongly correlated with maxima observed after 1- to 5-year time shift of tree-ring width. Results of analysis allowed us to develop original approach of crops yield dynamics reconstruction on the base of high-frequency variability component of the growth of pine and low-frequency one of larch.

Keywords: Climate; Crops yield; Reconstruction model; South Siberia; Tree-ring width.

MeSH terms

  • Climate*
  • Crops, Agricultural / growth & development*
  • Forests
  • Models, Theoretical*
  • Siberia
  • Trees / growth & development*