Assessing Soil Erosion Risk in Kazakhstan:A RUSLE-Based Approach for Land Rehabilitation

Soil degradation is increasing in Kazakhstan, leading to severe losses in land productivity.The Almaty region, the country's leading agricultural and industrial province, is among the most affected areas.The objective of this study is to evaluate, for the first time, the applicability of the revised model of the Universal Soil Loss Equation (USLE) for estimating the rate of soil erosion and identifying areas susceptible to soil erosion in the Almaty region.The revised USLE (RUSLE) factors, including rainfall erosivity, soil erodibility, slope length, and steepness, were represented using data on soil, topography, and land use/vegetation cover from the region.Using the RUSLE model's algorithms, we generated an erosion risk map, emphasizing areas with a high potential for erosion.The results show higher soil erosion rates in agricultural areas with steep slopes and inadequate environmental practices -annual soil losses in the region are as high as 26,279 t/ha/year in high-risk areas.On average, approximately 88% of the region's territory loses up to 103 t/ha/year, while 9% loses about three times as much.Such potential soil erosion risks warrant the implementation of efficient soil conservation strategies in the region to protect soils, ensure desired agricultural productivity, and support the journey in achieving the Sustainable Development Goal (SDG) 15.

Authors

Publication Details

Journal
Polish Journal of Environmental Studies
Published
2024-12-30
DOI
https://doi.org/10.15244/pjoes/187595
Citations
1
Primary Topic
Agricultural Development and Policies
Type
article
Field-Weighted Citation Impact
0.57
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing Soil Erosion Risk in Kazakhstan:A RUSLE-Based Approach for Land Rehabilitation

Manzoor Qadir, Aigul Тokbergenova, Kanat Zulpykharov, Damira Kaliyeva et al.
1 citations
Polish Journal of Environmental Studies
Agricultural Development and Policies
0.57
article

Assessing Soil Erosion Risk in Kazakhstan:A RUSLE-Based Approach for Land Rehabilitation

Manzoor Qadir, Aigul Тokbergenova, Kanat Zulpykharov, Damira Kaliyeva, Omirzhan Taukebayev, Alisher Mirzabaev, Sanim Bissenbayeva
article en
1 citations

Abstract

Soil degradation is increasing in Kazakhstan, leading to severe losses in land productivity.The Almaty region, the country's leading agricultural and industrial province, is among the most affected areas.The objective of this study is to evaluate, for the first time, the applicability of the revised model of the Universal Soil Loss Equation (USLE) for estimating the rate of soil erosion and identifying areas susceptible to soil erosion in the Almaty region.The revised USLE (RUSLE) factors, including rainfall erosivity, soil erodibility, slope length, and steepness, were represented using data on soil, topography, and land use/vegetation cover from the region.Using the RUSLE model's algorithms, we generated an erosion risk map, emphasizing areas with a high potential for erosion.The results show higher soil erosion rates in agricultural areas with steep slopes and inadequate environmental practices -annual soil losses in the region are as high as 26,279 t/ha/year in high-risk areas.On average, approximately 88% of the region's territory loses up to 103 t/ha/year, while 9% loses about three times as much.Such potential soil erosion risks warrant the implementation of efficient soil conservation strategies in the region to protect soils, ensure desired agricultural productivity, and support the journey in achieving the Sustainable Development Goal (SDG) 15.

Polish Journal of Environmental StudiesVol. 34(3)
Life in Land
Openalex Percentile: Top 26%
Agricultural Development and Policies
0.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.