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Quantifying the Estimation and Abundance of Plant Diversity of Shigar Valley, Gilgit -Baltistan, Pakistan

Saif Ullah , Muhammad Zaman , Liu Jiaqi , Yaseen Khan , Shakir Ullah , Tian Gang*

The studies were carried out from July 2017 to March 2018 in Shigar valley different Union Councils. The area lies between 7444 feet to 11694 feet from Above sea level in the Alpine zone including, Niali Nallah, Laxar Nallah, Nallah, Markuja union, Marapi union, Chorkah union, Gulapur. The study sites were randomly selected based on (1) herbs or shrubs land on the field periphery, (2) open grassland and arable land associated with sparse vegetation on rocks, stones, (3) forest land and open lands associated with sparse tree vegetation catchment of river and (4) forest land and arable land associated with dunes and rocky terrain. The quadrate method was used to record of vegetation from the selected study sites. A total of 59 plants species both medicinally and economically important were recorded at four study sites of CKNP and revealed that 30 herbs followed by 14 trees, 11 kinds of grass, and 4 shrubs respectively the dominant tree species recorded from all habitat types were Juniper sexcelsa, Elaeagnus ambulate, Morus alba, Salix Wilhelmina and Populus nigra. The most common herbs recorded were Artimisa brevifolia, Tanacetum, Echinops echinatus, Capparis sponsia, Ephedra intermedia, Peganum harmala, Daucus carota, Medicago sativa, Typha lotifuliya and Astragalus rhizanthus. The dominant shrubs were Rosa webbina, Hippophae rhamnoides, Sophora Molis and Myricaria germanica. The grasses recorded in the study area were Poa Alpina, Setaria Viridis, Hetropogon contortus, Cynodon dactylon, Taraxacum oritinlis, Trifolium repens and Cascuta reflexa. These plants are also used by local communities for fuelwood and timber. This study will be beneficial for locals and governments for the protection and conservation of this indigenous flora as well as fauna in the future.

Isenção de responsabilidade: Este resumo foi traduzido usando ferramentas de inteligência artificial e ainda não foi revisado ou verificado