Landscape Connectivity as a Tool in Green Space Evaluation and Optimization of the Haidan District, Beijing

Shiyi Guo, Kaoru Saito, Weida Yin and Chang Su
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Shiyi Guo: School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
Kaoru Saito: Graduate School of Frontier Science, The University of Tokyo, Kashiwa 277-8563, Japan
Weida Yin: School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
Chang Su: Graduate School of Horticulture, Chiba University, Matsudo 271-8510, Japan

Sustainability, 2018, vol. 10, issue 6, 1-14

Abstract: The demand for urban construction has placed growing pressure on biodiversity conservation. In China, landscape fragmentation caused by rapid urbanization has resulted in an immense amount of damage to the ecological system. Taking the Haidian District of Beijing as the study area, this study distinguishes the vital patches and corridors for landscape connectivity maintenance through morphological spatial pattern analysis (MSPA), the probability of connectivity (PC), and the least-cost path analysis. Although we adopted and combined these methods from the existing research about landscape modeling, we went deeper into two parameters: the resistance value and the distance threshold. In order to get a species-specific result, we selected two focal species: the ring-necked pheasant ( Phasianus colchius ) and the raccoon dog ( Nyctereutes procyonoides ), whose biological characteristics and habitat types are assumed to represent most of the habitats in Beijing. The result shows the different habitats and corridors for two species. Then, the results of two simulated scenarios are overlaid to obtain the final landscape pattern. Based on this case study, we propose a paradigm of ecological network identification of multiple species, which may contribute to landscape modeling and green space planning.

Keywords: green space; landscape connectivity; focal species; least-cost path; morphological spatial pattern analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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