A Dynamic Evaluation Method of Urban Ecological Networks Combining Graphab and the FLUS Model

Hao Li, Hongyu Chen, Minghao Wu, Kai Zhou, Xiang Zhang and Zhicheng Liu ()
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Hao Li: School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
Hongyu Chen: School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
Minghao Wu: School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
Kai Zhou: School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
Xiang Zhang: Beijing Engineering Co., Ltd., Beijing 100024, China
Zhicheng Liu: School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China

Land, 2022, vol. 11, issue 12, 1-15

Abstract: Rapid urbanization has led to landscape fragmentation and habitat loss. As an organic structure integrating green space, an urban ecological network can effectively reduce ecological risks and protect biodiversity if its landscape connectivity is maintained. Chaoyang District in Beijing is facing the challenge of transformational development due to excessive urbanization. Taking this district as the study area, this study assessed the environmental impact of different development scenarios on landscape connectivity indices and explored the most relevant strategies for important green space patches by combining ecological network modeling (Graphab) and scenario simulation techniques (FLUS model). The results show that under the urban expansion scenario, the probability of connectivity (PC) decreases by 59.7%, while under the master plan scenario, it increases by 102.1%. Even under the ideal ecological scenario, the ecological network structure of the region faces structural problems. Patches and corridors with high delta probabilities of connectivity (dPC) are concentrated in the north, with no effective connection between the north and south. Finally, planning strategies and priorities for important patches under different urban development goals are proposed through a strategy matrix. Overall, this study proposes a framework for decision-makers to solve planning conflicts between urban expansion and biodiversity conservation, especially for cities in transition.

Keywords: ecological network; landscape connectivity; scenario simulation; graph theory; urban planning (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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