EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Testifying SALTMED model using field data in Almaty region, South-east Kazakhstan

Baktybek Duisebek1, Maria Shahgedanova, Andrew Wade, and Ragab Ragab2
Baktybek Duisebek et al.
  • 1Reading University , school of archaeology geography and environmental science , geography and environmental science , United Kingdom of Great Britain and Northern Ireland (
  • 2Center for Ecology & Hydrology, Wallingford, United Kingdom of Great Britain

South-eastern Kazakhstan is located in the foothills of the Northern Tien Shan Mountains. It has favourable conditions for growing diverse crops but many depend on irrigation. Water is provided by the melt of seasonal snow pack and glaciers.  Crop production in this region is relatively vulnerable to climate change. This study carried experimental measurement with modelling approach to assess and determine how climate change will impact major crop production in the region. The SALTMED crop model was tested for its ability to simulate soil water content (SWC), and final grain yield (Y) for rain-fed winter wheat and irrigated spring maize in 2017 and 2019 respectively. SALTMED is able to simulate SWC with a high degree of accuracy in both field. Simulating maize yield is fairly well, and if an adjustment was made for the locust effect for wheat, simulation would be better. Therefore, since SALTMED does not include the effect of pest on crop yield, a fairer test of the model would estimate the yield without the pest effect. Generally, SALTMED can be applicable in the region.

How to cite: Duisebek, B., Shahgedanova, M., Wade, A., and Ragab, R.: Testifying SALTMED model using field data in Almaty region, South-east Kazakhstan, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7705,, 2020