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Information Journal Paper

Title

Assessing biodiversity, composition, and distribution of the tree species in the urban forest (case study: Tabriz)

Pages

  87-105

Abstract

 This research attempted to assess and provide information about biodiversity and distribution of urban tree species by applying several biodiversity indices, including richness, per area estimates of number of species, Shannon-Wiener, Menhinick, Simpson diversity, Shannon-Wiener evenness indexes, evenness index and Sander’ s rarefaction technique and also analyzing native and exotic species using i-Tree Eco model both at the city scale and land use classes. Forty-eight species identified among the city. It is estimated that Tabriz had 192800 trees with the 9. 4% tree cover. There were 3. 6 trees per hectare. The Shannon-Wiener, Menhinick, Simpson diversity and Shannon-Wiener evenness indexes calculated as 2. 9, 1, 12 and 0. 8 for the whole city, respectively. The green space and agricultural lands had the highest richness. Commercial, transportation and industrial land (CTI) included the most species per hectare. Also, residential areas had the highest value of Shannon-Wiener and Menhinick diversity indexes. The 37. 5% of the species was endemic to Azerbaijan.

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  • Cite

    APA: Copy

    AMINI PARSA, V., SALEHI, E., & YAVRI, A.R.. (2020). Assessing biodiversity, composition, and distribution of the tree species in the urban forest (case study: Tabriz). FOREST RESEARCH AND DEVELOPMENT, 6(1 ), 87-105. SID. https://sid.ir/paper/387521/en

    Vancouver: Copy

    AMINI PARSA V., SALEHI E., YAVRI A.R.. Assessing biodiversity, composition, and distribution of the tree species in the urban forest (case study: Tabriz). FOREST RESEARCH AND DEVELOPMENT[Internet]. 2020;6(1 ):87-105. Available from: https://sid.ir/paper/387521/en

    IEEE: Copy

    V. AMINI PARSA, E. SALEHI, and A.R. YAVRI, “Assessing biodiversity, composition, and distribution of the tree species in the urban forest (case study: Tabriz),” FOREST RESEARCH AND DEVELOPMENT, vol. 6, no. 1 , pp. 87–105, 2020, [Online]. Available: https://sid.ir/paper/387521/en

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