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Volume 5, Issue 2 (summer 2024)
Abstract

Goals: The emergence of new issues in various economic, social and political fields, physical and environmental issues in cities, forces urban management to respond effectively and actively. Extensive developments in the Tehran metropolis have led to more attention to urban green space as green infrastructure , and planning for managing the development and protection of urban green areas has been put on the agenda. Therefore, the development policy of this field or use in the future has been in the focus of attention. Therefore, with the aim of identifying the driving forces affecting the future of Tehran's green spaces, this research tries to take an effective step in this direction by using the intellectual base of future research and foresight.
Methods: This study is analytical and exploratory in nature and uses the environmental scanning method based on the STEEP model, document study, holding brainstorming sessions and distributing questionnaires among experts and elites.
Findings: In this research, 32driving forces affecting the future of Tehran's green space in 6 categories, including 3 driving forces in the technological field, 6 driving forces in the demographic and social field, 8 driving forces in the environmental field, 6 driving forces in the economic field, 4driving forces in the political-institutional field and 5 drivers were identified in the field of physical and urban development.
Conclusion: The results of this research show that the environmental, economic and demographic and social axes have a more effective role in the future of the green space of Tehran.

Shadieh Mohammadi, Soheil Eagdari, Hadi Pourbagher, Ata Moloudi,
Volume 9, Issue 4 (11-2020)
Abstract

In this study, the morphological variation of Oxynoemacheilus bergianus was studied in the different rivers of the Namak Lake and Caspian Sea basins using traditional morphometric method. For this purpose, a total of 76 specimens were collected from eight river systems and after fixation into 4% buffered formalin, transfered to the laboratory, a total of 31 morphological characteristics were measured using digital calipers. After standardization, the morphometric data were analyzed using multivariate analysis including principal component analysis (PCA), canonical variate analysis with p-value obtained from MANOVA (MANOVA/CVA) and cluster analysis (CA). The results showed significant differences in 24 traits between the studied populations (P<0.05), which anal fin depth and the ventral-anal fin distances were main discriminative ones. CVA analysis was able to separate the studied populations. Also, CA placed the Gharesu and Sefid populations in a clade and separate from other populations. The observed differences may be related to phenotype plasticity in response to environmental conditions.


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