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<p>The Indian Himalayan Region (IHR), a geomorphologically and ecologically sensitive zone, is highly prone to soil erosion due to steep terrain, uneven rainfall distribution, and heterogeneous land use and land cover (LULC). The primary objective of this research is to quantify the rate of soil erosion in the entire IHR using the Revised Universal Soil Loss Equation (RUSLE) model. The model uses factors like erosivity caused by rainfall (R), soil erodibility (K), length and steepness of the slope (LS), vegetation coverage (C), and the existing management practices (P) to estimate soil erosion. The analysis indicated that the IHR is prone to extremely severe soil erosion, with an average rate of 118.74&#xa0;Mg/ha/yr. The Jammu &amp; Kashmir state had the largest geographical area under extreme severity (40.50% of the total geographic area), with a mean erosion rate of 303.46&#xa0;Mg/ha/yr. LULC-based analysis showed that the largest area experiencing extreme erosion severity was found in forested regions (9.94%), followed by bare lands (7.14%). In contrast, the lowest areas under extreme severity were recorded in shrublands (0.18%) and plantations (1.02%). The findings reveal vulnerable land cover classes and demonstrate geospatial modeling's value in guiding sustainable soil conservation and land management.</p>

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Analyzing soil loss dynamics in the Indian Himalayan Region using geospatial approach

  • 期刊论文

  • 发表日期：

    2026年1月7日

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  • Arvind Dhaloiya,
  • Swadhina Koley,
  • Manjar Alam,
  • Soora Naresh Kumar

摘要

The Indian Himalayan Region (IHR), a geomorphologically and ecologically sensitive zone, is highly prone to soil erosion due to steep terrain, uneven rainfall distribution, and heterogeneous land use and land cover (LULC). The primary objective of this research is to quantify the rate of soil erosion in the entire IHR using the Revised Universal Soil Loss Equation (RUSLE) model. The model uses factors like erosivity caused by rainfall (R), soil erodibility (K), length and steepness of the slope (LS), vegetation coverage (C), and the existing management practices (P) to estimate soil erosion. The analysis indicated that the IHR is prone to extremely severe soil erosion, with an average rate of 118.74 Mg/ha/yr. The Jammu & Kashmir state had the largest geographical area under extreme severity (40.50% of the total geographic area), with a mean erosion rate of 303.46 Mg/ha/yr. LULC-based analysis showed that the largest area experiencing extreme erosion severity was found in forested regions (9.94%), followed by bare lands (7.14%). In contrast, the lowest areas under extreme severity were recorded in shrublands (0.18%) and plantations (1.02%). The findings reveal vulnerable land cover classes and demonstrate geospatial modeling's value in guiding sustainable soil conservation and land management.