No abstract

Wheat is an important global food security commodity. Kazakhstan is currently a producer and exporter of high-quality wheat to global markets. The most important wheat-growing regions, which lie in the northern part of Kazakhstan, are based on spring-sown rain-fed cultivation and are susceptible to climate change and drought. Using the monthly surface air temperature and precipitation data from 1950 to 2020 from 110 meteorological stations over Kazakhstan and in addition wheat cultivation data, the research aims to analyze climate change, drought occurrence, and wheat cultivation trends in Kazakhstan in recent 70 years and investigate relationships between wheat productivity and drought. The linear method and two drought indices (Standardized Precipitation Index and Standardized Precipitation Evapotranspiration Index) and in addition, Pearson's correlation coefficient have been used to characterise the climate change trends and vulnerability of agriculture in Kazakhstan to drought. The geographic information system (GIS) was applied to display climate change, drought, and wheat referenced information. The research has shown that the 70-year (1950–2020) linear rates of annual mean surface temperature in Kazakhstan have significantly increased (on average 0.31 °C per decade) with the precipitation trends are not obvious and fluctuated trends of drought. The wheat yield demonstrates strong internal variability and wheat yields were significantly correlated with 3-month June and July drought indices over the period of 1950–2020. The results underline the potential susceptibility of wheat yields in Kazakhstan to any future reductions in precipitation and increase in drought occurrence and intensity.

No abstract

In such drought-prone regions as Kazakhstan, research on regional drought characteristics and their formation conditions is of paramount importance for actions to mitigate drought risks caused by climate change. This paper presents the results of research on the spatio-temporal patterns of atmospheric droughts as one of the most important factors hindering the formation of crop yields. The influence of several potential predictors characterizing teleconnection in the coupled “atmosphere–ocean” system and cosmic-geophysical factors affecting their formation is analyzed. The spatial relationships between atmospheric aridity at the individual stations of the investigated area and the wheat yield in Kazakhstan as well as its relationships with potential predictors were determined using econometric methods. High correlation was shown between wheat yield fluctuations and Multivariate El-Niño–Southern Oscillation (ENSO), galactic cosmic radiation, solar activity, and atmospheric drought expressed through the soil moisture index, which in turn depends on precipitation levels and temperatures. The model could be modified further so that the individual components could be forecasted into the future using various time series in an ARIMA model. The resulting integration of these forecasts would allow the prediction of wheat yields in the future. The obtained results can be used in the process of creating effective mechanisms for adaptation to climate change and droughts based on their early diagnosis.

The article presents the results of a study on the assessment of modern space–time trends of extreme values of air temperature and precipitation in 42 meteorological stations throughout Kazakhstan for the period from 1971 to 2020. Spatial and temporal analysis of the distribution of specialized climatic indices was recommended by the WMO climatology commission and an assessment of their trends was carried out. Spatial heterogeneity was revealed in terms of the degree of manifestation of changes and trends. Temperature indices are shown to confirm the overall warming trend. The division of the territory of Kazakhstan by the degree of manifestation of climate change into the southwestern and northeastern half was revealed. Extreme trends are most pronounced in the southwestern half, where a significant trend has been identified both for an increase in extremely high daytime and extremely low night temperatures. The calculated trends in temperature indices are generally significant, but the significance is mainly not ubiquitous; the trends are significant only in certain parts of Kazakhstan. WSDI and CSDI trends were found to confirm a widespread increase in the overall duration of heat waves and a reduction in the overall duration of cold waves. No significant extreme effects were found in the sediments. It is confirmed that Kazakhstan has weak, statistically insignificant, positive and negative trends in the maximum duration of the non-traveling period. Precipitation index trends, unlike temperature ones, are statistically insignificant in most of the country.