Frontiers in Plant Science (Nov 2024)

Floristic diversity and species composition along altitudinal gradient in the alpine ecosystem of the cold desert region in Western Himalaya, India

  • Amit Bahukhandi,
  • K. Chandra Sekar,
  • Vikram S. Negi,
  • Kapil Bisht,
  • Deep C. Tiwari,
  • Poonam Mehta,
  • Shashi Upadhyay,
  • Sazada Siddiqui,
  • Amel Ayari-Akkari

DOI
https://doi.org/10.3389/fpls.2024.1469579
Journal volume & issue
Vol. 15

Abstract

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In India, the Trans-Himalayan zone lies in the rain shadow of the main Himalayan region and is usually described as a “high-altitude cold desert”. These regions are represented by sparse but unique vegetation composition. The present study is an attempt to investigate the vegetation composition in the alpine ecosystem of the cold desert landscape of the Nelang Valley in Western Himalayas (Uttarakhand), India. The result of the study reveals the existence of a total of 68 taxa of higher plants (56 genera and 28 families). These include herbs (51 species), shrubs (13 species), climbers (one species), and trees (three species). Herbaceous species (52 species) contributed the maximum species richness; Artemisia, Astragalus, and Juniperus were the dominant genera, followed by Aster, Lonicera, Oxytropis, Poa, and Salix. The valley showed irregular distribution of plant species richness along the altitudinal gradient, and maximum taxa exhibited between 3,500 m and 3,600 m of altitude band. In the Nelang Valley, the total number of phytodiversity individuals exhibited a significant linear decline with increasing altitude (3,100–4,300 m). Further, the study recorded 33 important medicinal plants used in the traditional system of herbal medicine in the Himalayan region. Juniperus semiglobosa shows dominance with a maximum important value index (IVI) (31.77), followed by Pinus wallichiana (29.19) and Cedrus deodara (10.72) in the treeline ecotone of the valley. Rapid Threat Assessment shows that Artemisia dubia and Artemisia roxburghiana were the most vulnerable herb species in the region. The information thus generated will be useful for suggesting ecological management and conservation planning.

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