Scenario planning of Integrated Urban Landscape Ecology Network based on the improved Gravity model
(Case study: Northeast area of Tehran)
Subject Areas :
Environmental managment
Hossein Moosavi Fatemi
1
,
Farah Habib
2
,
Pooyan Shahabian
3
1 - Ph.D. student in Urban development, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
2 - Professor, Department of Urban Development, Science and Research Branch, Islamic Azad University, Tehran, Iran. *(Corresponding Author)
3 - Associate Professor, Urban Planning and Design Department, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
Received: 2023-03-16
Accepted : 2023-04-25
Published : 2023-03-21
Keywords:
Graph theory,
Gravity Model,
GIS,
Network analyses of corridors,
urban ecological landscape,
Abstract :
Background and Objective: The rapid development of cities has caused the unsustainability of the human urban environment and consequently fragmented the ecology of the urban landscape. Today, there is a need for a new conceptualization with which to approach ecological diversity, such as environmental planning and design for integrating the urban landscape ecology. The development of urban green networks is one of the essential factors to protect biodiversity and effectively prevent the isolation of populations and species. The purpose of this article is to connect ecological networks in the urban landscape and finally increase connectivity and provide ecosystem services in cities and presenting proposed potential corridors and their scenarios.Material and Methodology: We produced the proposed scenarios by using the improved Gravity model and network analysis in GIS software.Findings: We achieved the prioritize corridors in the northeast area of Tehran by using the cost layer, the impedance layer, and the core patches. In the final stage, three scenarios were developed in the studied area using corridor network analysis.Discussion and Conclusion: Based on the impedance layer, core patches, and cost layer, the functional prioritization of the proposed corridors was discussed to develop and analyze the proposed corridors. This map leads to decision-making strategies and achieving the integration of the ecological networks in the urban landscape. The output of this paper can be used as a basic map for the development and revitalization of urban ecological landscape structures.
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Sklar FH, Costanza R. The development of dynamic spatial models for landscape ecology: a review and prognosis. Ecological studies. 1991; 82: 239-88.
Wang F, Zhong D, Lu M, editors. Research on urban greenway planning in the old city of Jinan City based on GIS interpretation and Gravity model data. Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022); 2023: SPIE.
Zhao Y, Zhang G, Zhao H. Spatial network structures of urban agglomeration based on the improved Gravity Model: A case study in China’s two urban agglomerations. Complexity. 2021;2021:1-17.
Linehan J, Gross M, Finn J. Greenway planning: developing a landscape ecological network approach. Landscape and urban planning. 1995;33(1-3):179-93.
Kong F, Yin H, Nakagoshi N, Zong Y. Urban green space network development for biodiversity conservation: Identification based on graph theory and Gravity modeling. Landscape and urban planning. 2010;95(1-2):16-27.
Davies C, McGloin C, MacFarlane R, Roe M. Green infrastructure planning guide project. Final Report. 2006.
Hellmund P. Quabbin to Wachusett wildlife corridor study. Harvard Graduate School of Design, Cambridge, MA. 1989.
Management and planning organization of Tehran Statistical Yearbook of Tehran Province 2019. (In Persian)
Mousavi Fatemi S H, Habib F, Shahabian P. Gravity model, an automatic method for prioritizing urban landscape ecology corridors (Case study: Northeast area of Tehran). Haft Hesar Journal of Enviromental Studies. In-print. (In Persian)
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Wu J. Urban sustainability: an inevitable goal of landscape research. Springer; 2010. p. 1-4.
Steiner FR. The living landscape: an ecological approach to landscape planning: Island Press; 1991.
Bunn AG, Urban DL, Keitt TH. Landscape connectivity: a conservation application of graph theory. Journal of environmental management. 2000;59(4):265-78.
Harary F. Graph theory1969.
Cantwell MD, Forman RT. Landscape graphs: ecological modeling with graph theory to detect configurations common to diverse landscapes. Landscape Ecology. 1993;8(4):239-55.
Keitt TH, Urban DL, Milne BT. Detecting critical scales in fragmented landscapes. Conservation ecology. 1997;1.(1)
Moilanen A. On the limitations of graph-theoretic connectivity in spatial ecology and conservation. Journal of Applied Ecology. 2011:1543-7.
Correa Ayram CA, Mendoza ME, Etter A, Salicrup DRP. Habitat connectivity in biodiversity conservation: A review of recent studies and applications. Progress in Physical Geography. 2016;40(1):7-37.
Gobattoni F, Pelorosso R, Lauro G, Leone A, Monaco R. A procedure for mathematical analysis of landscape evolution and equilibrium scenarios assessment. Landscape and urban planning. 2011;103(3-4):289-302.
Zhang Z, Meerow S, Newell JP, Lindquist M. Enhancing landscape connectivity through multifunctional green infrastructure corridor modeling and design. Urban forestry & urban greening. 2019;38:305-17.
Wanghe K, Guo X, Wang M, Zhuang H, Ahmad S, Khan TU, et al. Gravity model toolbox: An automated and open-source ArcGIS tool to build and prioritize ecological corridors in urban landscapes. Global Ecology and Conservation. 2020;22:e01012.
Etherington TR, Penelope Holland E. Least-cost path length versus accumulated-cost as connectivity measures. Landscape Ecology. 2013;28(7):1223-9.
Zhang Z. Enhancing landscape connectivity in detroit through multifunctional green corridor modeling and design 2017.
Zandbergen PA. Python scripting for ArcGIS: Esri press Redlands, CA; 2013.
Sklar FH, Costanza R. The development of dynamic spatial models for landscape ecology: a review and prognosis. Ecological studies. 1991; 82: 239-88.
Wang F, Zhong D, Lu M, editors. Research on urban greenway planning in the old city of Jinan City based on GIS interpretation and Gravity model data. Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022); 2023: SPIE.
Zhao Y, Zhang G, Zhao H. Spatial network structures of urban agglomeration based on the improved Gravity Model: A case study in China’s two urban agglomerations. Complexity. 2021;2021:1-17.
Linehan J, Gross M, Finn J. Greenway planning: developing a landscape ecological network approach. Landscape and urban planning. 1995;33(1-3):179-93.
Kong F, Yin H, Nakagoshi N, Zong Y. Urban green space network development for biodiversity conservation: Identification based on graph theory and Gravity modeling. Landscape and urban planning. 2010;95(1-2):16-27.
Davies C, McGloin C, MacFarlane R, Roe M. Green infrastructure planning guide project. Final Report. 2006.
Hellmund P. Quabbin to Wachusett wildlife corridor study. Harvard Graduate School of Design, Cambridge, MA. 1989.
Management and planning organization of Tehran Statistical Yearbook of Tehran Province 2019. (In Persian)
Mousavi Fatemi S H, Habib F, Shahabian P. Gravity model, an automatic method for prioritizing urban landscape ecology corridors (Case study: Northeast area of Tehran). Haft Hesar Journal of Enviromental Studies. In-print. (In Persian)