GIS-Based Ecological Vulnerability Assessment in a Mountainous Region: the Charvak Reservoir, Uzbekistan

Authors

  • Khasan Magdiev Ulugh Beg Astronomical Institute of the Uzbekistan Academy of Sciences, Tashkent, 100052; Ministry of Economy and Finance of the Republic of Uzbekistan, Tashkent, 100017
    Uzbekistan
    https://orcid.org/0009-0005-1651-4297
  • Dilbarkhon Fazilova Ulugh Beg Astronomical Institute of the Uzbekistan Academy of Sciences, Tashkent, 100052; Tashkent State Technical University named after Islam Karimov, Tashkent, 100095
    Uzbekistan
    https://orcid.org/0000-0002-7002-189X
  • Mirshodjon Makhmudov Ulugh Beg Astronomical Institute of the Uzbekistan Academy of Sciences, Tashkent, 100052
    Uzbekistan
    https://orcid.org/0009-0001-2618-2258
  • Aziz Kazakov Ulugh Beg Astronomical Institute of the Uzbekistan Academy of Sciences, Tashkent, 100052; Tashkent State Technical University named after Islam Karimov, Tashkent, 100095
    Uzbekistan
    https://orcid.org/0000-0001-9862-6594

DOI:

https://doi.org/10.23917/forgeo.13377

Keywords:

Anthropogenic Disturbance, Shoreline Dynamics, Built-Up Expansion, Landsat Trend Analysis, Multi-criteria Decision Analysis

Abstract

Mountain reservoirs in steep terrain face geomorphic, hydrological, and development pressures, yet vulnerability maps can be hard to interpret in terms of drivers. An ecological vulnerability index (EVI) is developed for the Charvak Reservoir basin (Uzbekistan) from three subindices: topographic–geological risk index (TGRI; slope, lithological resistance, soil organic carbon, and distance to active faults), hydrological–ecological risk index (HERI; shoreline proximity and normalized difference water index (NDWI) trend risk, excluding the trend term in a nearshore band to reduce shoreline artifacts), and climatic–anthropogenic risk index (CARI; trends in the normalized difference vegetation index [NDVI], normalized difference built-up index [NDBI], and land surface temperature [LST], plus proximity to infrastructure). May–August Landsat Collection 2 composites (2000–2023) yield trends; indicators are scaled to 0–1 and aggregated using analytic hierarchy process (AHP) weights. Hotspots cluster on reservoir-facing slopes and access valleys; the subindices separate topographic controls from shoreline and corridor pressures. Changes in 2018–2023 show limited class transitions, whereas a 2030 scenario (extrapolated NDVI/NDBI plus shoreline and infrastructure stressors) increases high–very high vulnerability by ~39 km2 (~3.2 percentage points), mainly in shoreline belts and development corridors. The framework supports zoning and planning in reservoir basins.

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