Author
Listed:
- Kenzhe Erzhanova
(Faculty of Agrobiology, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan)
- Sagynbay Kaldybaev
(Faculty of Agrobiology, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan)
- Raushan Ramazanova
(U.U. Uspanov Kazakh Research Institute of Soil Science and Agrochemistry, Almaty 050060, Kazakhstan)
- Beybit Nasiyev
(Institute of Veterinary and Agrotechnology, Zhangir Khan West Kazakhstan Agrarian-Technical University, Uralsk 090009, Kazakhstan)
- Iliyas Bekmukhamedov
(National Center for Space Research and Technology, Almaty 050010, Kazakhstan)
- Konstantin Pachikin
(U.U. Uspanov Kazakh Research Institute of Soil Science and Agrochemistry, Almaty 050060, Kazakhstan)
- Askhat Naushabayev
(Faculty of Agrobiology, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan)
- Kanat Kulymbet
(U.U. Uspanov Kazakh Research Institute of Soil Science and Agrochemistry, Almaty 050060, Kazakhstan)
- Ayan Abay
(Faculty of Agrobiology, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan)
- Niyet Abdirakhymov
(Faculty of Agrobiology, Kazakh National Agrarian Research University, Almaty 050010, Kazakhstan)
- Ilyas Abdrakhmanov
(BAUYR Ltd. Company, Almaty 050045, Kazakhstan)
- Galymzhan Saparov
(U.U. Uspanov Kazakh Research Institute of Soil Science and Agrochemistry, Almaty 050060, Kazakhstan)
Abstract
Solonetz and Solonetzic rangelands are widespread in arid regions of Central Kazakhstan, where pasture degradation is often difficult to assess because surface vegetation patterns do not always reflect subsurface soil constraints. This study aimed to evaluate degradation patterns in Solonetz pasture ecosystems of the Ulytau region by integrating field soil-profile descriptions, laboratory analyses, vegetation observations, forage productivity data and Sentinel-2A-derived MSAVI. Ten monitoring soil profiles were examined for particle-size distribution, soluble salts, ionic composition, exchangeable cations, available N, P and K, vegetation cover and forage yield. USDA textural classification, salt-distribution analysis, Pearson correlation, PCA, RDA and MSAVI-based mapping were used to link soil-profile properties with vegetation and spectral response. The first two PCA axes explained 65.5% of the total variance, while selected soil profile constrains accounted for 58% of the variation in vegetation cover, forage yield and MSAVI in the RDA analyses. The results showed strong profile heterogeneity, with clay enrichment, subsurface salt accumulation, alkalinity and Na- or Mg-related exchange–complex imbalance associated with several degradation pathways. Surface horizons were often weakly saline, whereas deeper layers contained stronger chemical and physical limitations. MSAVI values were low across the monitoring sites and reflected vegetation–soil surface conditions rather than salinity or sodicity directly. MSAVI ranged from 0.0888 to 0.2148, with a mean value of 0.1248. Combining soil-profile diagnostics with Sentinel-2A MSAVI improved the reliability of interpreting spatial degradation patterns and provides a practical framework for monitoring spatially heterogeneous Solonetz rangelands, supporting sustainable rangeland management under arid conditions.
Suggested Citation
Kenzhe Erzhanova & Sagynbay Kaldybaev & Raushan Ramazanova & Beybit Nasiyev & Iliyas Bekmukhamedov & Konstantin Pachikin & Askhat Naushabayev & Kanat Kulymbet & Ayan Abay & Niyet Abdirakhymov & Ilyas , 2026.
"Soil-Profile Constraints Shape Spectral–Thermal Degradation Patterns in Arid Solonetz Rangelands of Central Kazakhstan: Implications for Sustainable Rangeland Management,"
Sustainability, MDPI, vol. 18(14), pages 1-32, July.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:14:p:7255-:d:1992093
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