Engineer Sama Abdollahi Milani, Engineer Sama Rahmani, Doctor Javad Imani Shamloo,
Volume 8, Issue 4 (1-2021)
Abstract
Objective: The study aims to evaluate the ecological, environmental, and economic services provided by urban vegetation within the El-Goli green network in Tabriz. Specifically, it focuses on assessing the role of green infrastructure in mitigating urban environmental challenges through carbon sequestration, air pollution reduction, and surface runoff management. The research seeks to provide insights that support informed urban planning and the sustainable expansion of green spaces.
Methods: This study is a quantitative research that employed library-based methods (literature review, definitions of urban green infrastructure, and expert opinions) and field observations, combined with statistical analysis using i-Tree software for data collection. Data analysis was conducted using a descriptive-analytical approach, and the results are presented in tables.
Evaluation Parameters: The ecosystem services assessed in this study include carbon sequestration and storage, air pollution reduction, and stormwater management.Assessment Parameters: Key ecosystem services evaluated include carbon capture and storage, air pollution reduction, and surface runoff management.
Results: The El-Goli green network in Tabriz sequesters approximately 75.84 tons of carbon annually.
The green network removes about 2,077 tons of air pollutants per year.
Among the pollutants analyzed, ozone was the most effectively removed, while carbon monoxide showed the lowest removal rate.
The findings underscore the significant role of the El-Goli green network in improving urban air quality and contributing to climate change mitigation.
Conclusions:
This study used i-Tree Canopy 7.1 to assess the ecosystem services of El-Goli Park in Tabriz from ecological and economic perspectives. The vegetation area was measured, and trees and shrubs were counted to estimate carbon storage, air pollutant removal, and surface runoff mitigation. Results showed that the park annually sequesters 75.84 tons of carbon, removes 2,077 kg of air pollutants, and mitigates 1.92 liters of surface runoff. Considering the software’s limitations, it is recommended that ecosystem productivity in the park and other urban green spaces be enhanced through the protection of valuable trees, increasing effective plant species, developing dense vegetation cover, and implementing bioretention networks.
Ali Akbar Shamsipour, Faeze Shoja, Fatemeh Amrayi,
Volume 11, Issue 3 (12-2024)
Abstract
The purpose of this study is to investigate one of the supporting services of the ecosystem, called habitat quality, and to assess the spatial vulnerability of natural landscapes in the city of Khorramabad using the InVEST habitat quality module. To achieve this objective, it is essential to identify the sources of threats, the relative weight of each threat, the maximum distance of its effect in space, the types of habitats, and the sensitivity of each to the source of the threat. In addition, one of the most important inputs of InVEST is the land use/land cover (LULC) of the study area. The Local Climate Zone classification method has been used for the creation of this map. Finally, the model generates spatial distribution maps of habitat quality and degradation across the landscape by combining LULC and different threat sources. The findings indicated that the city, airport, and highway factors are the most destructive threat factors to all habitats with an average score of 0.51, 0.345, and 0.33, respectively. Compared to other LULC, water, dense trees, and scattered trees suffered the most destruction, with sensitivity ratings of 0.47, 0.39, and 0.36, respectively. The results also revealed that habitat quality in Khorramabad is at a medium to low level, and the habitat quality is in very good condition in only 3% of the landscape area.
