Soil-Profile Constraints Shape Spectral–Thermal Degradation Patterns in Arid Solonetz Rangelands of Central Kazakhstan: Implications for Sustainable Rangeland Management

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.

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Journal
Sustainability
Published
2026-07-16
DOI
https://doi.org/10.3390/su18147255
Primary Topic
Soil Geostatistics and Mapping
Type
article
Field-Weighted Citation Impact
0.00

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article

Soil-Profile Constraints Shape Spectral–Thermal Degradation Patterns in Arid Solonetz Rangelands of Central Kazakhstan: Implications for Sustainable Rangeland Management

Abebe Abay, Galymzhan Saparov, Канат Кулымбет, Konstantin Pachikin et al.
Sustainability
Soil Geostatistics and Mapping
article

Soil-Profile Constraints Shape Spectral–Thermal Degradation Patterns in Arid Solonetz Rangelands of Central Kazakhstan: Implications for Sustainable Rangeland Management

Abebe Abay, Galymzhan Saparov, Канат Кулымбет, Konstantin Pachikin, Raushan Ramazanova, Кенже Ержанова, Beybit Nasiyev, Ilyas Abdrakhmanov, Iliyas Bekmukhamedov, Sagynbay Kaldybaev, Niyet Abdirakhymov, Askhat Naushabayev
article en

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.

SustainabilityVol. 18(14)
National Center of Space Research and Technology (KZ), Kazakh National Agrarian Research University (KZ), Zhangir Khan West Kazakhstan Agrarian Technical University (KZ), Kazakh German University (KZ)
Ministry of Agriculture of the Republic of Kazakhstan
Life in Land
Openalex Percentile: Top 14%
Soil Geostatistics and Mapping
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