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

Описание

Тип публикации: статья из журнала

Год издания: 2018

Идентификатор DOI: 10.1007/s00484-017-1488-9

Ключевые слова: Crops yield, Tree-ring width, South Siberia, Climate, Reconstruction model

Аннотация: 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 pПоказать полностьюroductivity. 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.

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Издание

Журнал: INTERNATIONAL JOURNAL OF BIOMETEOROLOGY

Выпуск журнала: Vol. 62, Is. 5

Номера страниц: 861-871

ISSN журнала: 00207128

Место издания: NEW YORK

Издатель: SPRINGER

Персоны

  • Babushkina Elena A. (Siberian Fed Univ, Khakass Tech Inst, 27 Shchetinkina St, Abakan 655017, Russia)
  • Belokopytova Liliana V. (Siberian Fed Univ, Khakass Tech Inst, 27 Shchetinkina St, Abakan 655017, Russia)
  • Shah Santosh K. (Birbal Sahni Inst Palaeosci, 53 Univ Rd, Lucknow 226007, Uttar Pradesh, India)
  • Zhirnova Dina F. (Siberian Fed Univ, Khakass Tech Inst, 27 Shchetinkina St, Abakan 655017, Russia)