object(stdClass)#4409 (1) { ["family"]=> string(0) "" } Landslide Susceptibility Mapping for Subalpine Grassland Using Frequency Ratio and Landslide Index Model (Case Study: Masoleh Watershed, Iran) | Journal of Rangeland Science

Landslide Susceptibility Mapping for Subalpine Grassland Using Frequency Ratio and Landslide Index Model (Case Study: Masoleh Watershed, Iran)

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  • Mohammad Hasan Jouri1,
  • Mohammad Zare2,
  • Diana Askarizadeh3,
  • Mona FakhreGhazi4,
  • Tina Salarian5,
  • 6,
  • Soodeh Miarrostami6,
  1. Depatment of Range and Watershed Management Faculty of Natural Resources College of Agriculture and Natural Resources, Nour Branch, Islamic Azad University Mazandran, Iran
  2. Faculty of natural Resources, University of Tehran.
  3. University of Tehran, Iran.
  4. Rangeland Management, Islamic Azad University, Nour Branch
  5. Rangeland Science, Science and Research Branch, Islamic Azad University, Tehran, Iran
  6. Range Land Management,Natural Resources Faculty, Islamic Azad University of Science and Research Branch

Published in Issue 2024-01-30

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Abstract

Subalpine ecosystems are highly fragile as compared to biological and environmental factors. Landslide is one of the ruinous upshots of this ecosystem. One of the impressionable areas in the cause of natural factor is Masoleh watershed in western Alborz Mt, (Iran). In order to landslide hazard zonation, landslide index and frequency ratio method based on twelve causative factors such as slope, slope aspect, land use, lithology, distance from faults, distance from road, distance from stream, rainfall, range condition, Stream Power Index (SPI), Component Topographic Index (CTI) and elevation Receiver Operator Characteristic (ROC) curve analysis method was also used to evaluate the model. The results showed that geological, physiographical and grassland conditions have an important role in landslide area. Overgrazing, grazing in forth of season, early grazing, late term egression, and excess livestock are considered as direct affecting factors on vegetation, so that they have simultaneous role to make the landslide risk. The verification results via ROC curve showed that the landslide index model (85%) performed slightly better than the frequency ratio model (82%). It was concluded that managers and protectors of this ecosystem can inhibit and conserve the landslide by decreasing the amount of livestock, and short-term exclosure on critical area, and biomechanical dams in landslide-occurred area.

Keywords

  • Frequency Ratio,
  • GIS,
  • landslide index,
  • Masoleh. Iran,
  • Subalpine ecosystems
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