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BIOAGRICA 2021, 37 pages - Article ID: Article ID : BioAgrica-2003312112245




Study of Environmental Characteristics of wild Pistacia sp. Habitats (Case Study: Markazi Province)


Authors

Javad Varvani 1, Reza Jafarinia 1, Hojjatollah Zahedipour 2, Hamid Reza Torabi 3


Research Center of Applied Plant Science, Islamic Azad University, Arak Branch, Arak, Iran
Agriculture and natural resources research center of Markazi Province, Arak, Iran
Fars Agricultural and natural resources research and education cente, Aliabad Kamin educational unit
ABSTRACT

Considering the appropriate adaptability of different wild species of Pistachio in different arid and semi-arid environments of the country as well as its high values from the point of view of Resin and other chemical production, oil, and different pharmacological consumption of their seeds, finding their habitats in the different Provinces of Iran seems to be important. In this project, the basic information including topographic, soil, climate, geologic, and land use map of the area with a 1/50000 scale of the Markazi Province of Iran was first prepared and digitized. Then all the areas covered by wild Pistachio were visited, recorded, and digitized by GPS. To study the quality and quantity characteristics of the species, some samples were taken from 1600m2 in some important areas covered by wild Pistachio species according to different climatic conditions of the Province. The parameters, such as the number of trees in the samples, trees’ height, trees width, the time of flowering, the time of leaf appearance, the number of seeds, etc. were recorded in sampling areas. After establishing the DEM of the areas, aspect and slope maps were also produced using dfdx and dfdy filters in the Ilwis academic GIS program Package. Based on this investigation the following results were obtained: 20 polygons of wild species of Pistachio with total areas of 2216 ha were recognized in Markazi Province of Iran, The species-environment relationship was determined using maps integrating and data overlying.


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