Long-term prediction of climate change impact on the productivity of grain crops in Ukraine using satellite data

  • O. Tarariko -
  • T. Ilienko -
  • T. Kuchma -
  • V. Velychko -
Keywords: Grain crops yield, satellite data, productivity, NDVI, temperature, precipitation, gross grain collec- tion, long-term prediction, climate change impact

Abstract

Aim. To analyze and predict the climate change impact on the crop structure, yield and gross collections of grain crops in short-term (2025), mid-term (2050) and long-term perspective. Methods. Analysis of long-term series of climatic parameters based on satellite data, climatic modeling, statistical analysis of crop yield and gross collection of grain crops. Results. The positive effect of historical and current climate change on grain crop yields in Ukraine is demonstrated. It is predicted that the preservation of this pattern and the implementation of an integrated system of measures for adapting agroecosystems to warming will promote further increase in the grain crop yield and thus its gross collection. Conclusions. According to the analysis of satellite data and climatic models, further climate warming is predicted and its positive impact on grain crop productivity is forecasted. In case of developing and implementing the measures to adapt agroecosystems to climate change, the grain yield in Ukraine may increase by 25 % in 2025 compared with the current period (2015) and by 29–30 % in 2050; the gross collection of grain crops will reach 75.0 million tons (in 2025) and 79.0–80.0 million tons (in 2050). On condition of effi cient material and technical, scientifi c and informational support, further development of technical means, the reproduction of soil fertility and the improvement of irrigation technologies in the long-term perspective (by 2100), the gross grain collection may reach 92–95 million tons.
Published
2017-07-15
How to Cite
Tarariko, O., Ilienko, T., Kuchma, T., & Velychko, V. (2017). Long-term prediction of climate change impact on the productivity of grain crops in Ukraine using satellite data. Agricultural Science and Practice, 4(2), 3-13. https://doi.org/10.15407/agrisp4.02.003