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Assessment of Ecosystem Service Quality and Its Correlation with Landscape Patterns in Haidian District, Beijing

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  • Boya Wang

    (Beijing Laboratory of Urban and Rural Ecological Environment, Beijing Municipal Education Commission, School of Landscape Architecture, Beijing Forestry University, 35 Tsinghua East Rd., Haidian District, Beijing 100083, China)

  • Zhicheng Liu

    (Beijing Laboratory of Urban and Rural Ecological Environment, Beijing Municipal Education Commission, School of Landscape Architecture, Beijing Forestry University, 35 Tsinghua East Rd., Haidian District, Beijing 100083, China)

  • Yuting Mei

    (Beijing Laboratory of Urban and Rural Ecological Environment, Beijing Municipal Education Commission, School of Landscape Architecture, Beijing Forestry University, 35 Tsinghua East Rd., Haidian District, Beijing 100083, China)

  • Wenjie Li

    (Orirent Landscape, IT Industrial Park, 104 Floor, 10 Courtyard Electronic City, Jiuxianqiao North Road, Chaoyang District, Beijing 100015, China)

Abstract

Landscape architecture with urban green space as the main research object is an evidence-based science. It is an important issue to optimize green space systems from the point of view of ecosystem services. In this paper, high-resolution (1.5 m resolution) remote sensing images are combined with data-processing software, such as ENVI, ArcGIS, and Fragstats, to evaluate ecosystem service quality and compute the landscape pattern in the Haidian District (Beijing, China), so that the relationship between the ecosystem service quality and landscape pattern can be quantitatively studied and a strategy can be provided for green space optimization in cities. The following conclusions are drawn: (1) for the evaluated quality of 14 ecosystem services in Haidian District (refer to Section Analysis of the Association of the Percentage of Patches (PLAND) Index of Forest Land and Quality of Ecosystem Service in Haidian District). Forest land is the main provider of the ecosystem service in Haidian District, while construction land only provides cultural services; (2) on the whole, the spatial distribution of the ecosystem services in Haidian District gradually decreases from the west to the east, which basically matches with the spatial distribution of the forest land. The regulating service and supporting service are matched with the distribution of the urban green space. The cultural service is closely associated with history resource points; and (3) the analysis results of the association between landscape pattern and ecosystem service quality show that the percentage of patches (PLAND) index for forest land has a significant logarithmic relationship with the regulating service and supporting service. The critical value of the PLAND index is 30. Besides the Xishan area with the most coverage of forest land, the landscape shape index (LSI) of the brushwood has a logarithmic relationship with the ecosystem service quality. The critical value of the LSI value is 50. Finally, this paper proposes an area optimization strategy of green space in Haidian District from the view of the ecosystem system service. The Xishan area is classified into the ecosystem red line to control city expansion. The regulating and supporting services can be enhanced in the north flat area by improving the patch shape index. The ecosystem service capabilities can be improved by adding the forest land in the existing green space for the southeast urban areas.

Suggested Citation

  • Boya Wang & Zhicheng Liu & Yuting Mei & Wenjie Li, 2019. "Assessment of Ecosystem Service Quality and Its Correlation with Landscape Patterns in Haidian District, Beijing," IJERPH, MDPI, vol. 16(7), pages 1-34, April.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:7:p:1248-:d:220814
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    References listed on IDEAS

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    Cited by:

    1. Shuiyu Yan & Jun Tang, 2021. "Optimization of Green Space Planning to Improve Ecosystem Services Efficiency: The Case of Chongqing Urban Areas," IJERPH, MDPI, vol. 18(16), pages 1-16, August.
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    3. Giulio Senes & Chiara Parretta & Natalia Fumagalli & Patrizia Tassinari & Daniele Torreggiani, 2023. "Soft Mobility Network for the Enhancement and Discovery of the Rural Landscape: Definition of a Masterplan for Alto Ferrarese (Italy)," Land, MDPI, vol. 12(3), pages 1-24, February.

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