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Quantifying the Spatial Association between Land Use Change and Ecosystem Services Value: A Case Study in Xi’an, China

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  • Yajing Shao

    (School of Land Engineering, Chang’an University, Xi’an 710054, China
    Key Laboratory of Degraded and Unused Land Consolidation Engineering, Xi’an 710054, China
    School of Earth Science and Resources, Chang’an University, Xi’an 710054, China)

  • Xuefeng Yuan

    (School of Land Engineering, Chang’an University, Xi’an 710054, China
    Key Laboratory of Degraded and Unused Land Consolidation Engineering, Xi’an 710054, China)

  • Chaoqun Ma

    (School of Land Engineering, Chang’an University, Xi’an 710054, China
    Key Laboratory of Degraded and Unused Land Consolidation Engineering, Xi’an 710054, China)

  • Ruifang Ma

    (School of Land Engineering, Chang’an University, Xi’an 710054, China
    Key Laboratory of Degraded and Unused Land Consolidation Engineering, Xi’an 710054, China
    School of Earth Science and Resources, Chang’an University, Xi’an 710054, China)

  • Zhaoxia Ren

    (School of Land Engineering, Chang’an University, Xi’an 710054, China
    Key Laboratory of Degraded and Unused Land Consolidation Engineering, Xi’an 710054, China)

Abstract

The impact of land use and land cover (LULC) change on ecosystem services value (ESV) varies in different spatial locations. Although many studies have focused on quantifying the effect of LULC change on ESV, few have considered the spatial heterogeneity of the relationship between LULC change and ESV. Therefore, this study examines the relationship between ESV and LULC change from a spatial perspective in Xi’an City. We divide the study area into 10,522 grid cells, based on land cover data from 2000 to 2018, and we identify the spatial-temporal dynamics of LULC change. Next, we employ the Benefits Transfer Method (BTM) to evaluate the ESV, and the ESV is corrected by the normalized difference vegetation index (NDVI). A geographically weighted regression (GWR) model and ordinary least squares (OLS) regression model are used to assess the spatial association of LULC change and ESV. The results show that the total ESV loss is 6.57 billion yuan (Chinese yuan), and the loss rate is 12.18%. The distribution of ESV shows an obvious spatial heterogeneity, and the low-value area of ESV expands eastward from the main urban area. More than 50% of total ESV is provided by woodland. From 2000 to 2018, the land use pattern in Xi’an underwent a significant change with the developed land increasing by 64.09%, whereas farmland decreased by 12.49%. Based on the GWR model, the relationship between LULC change and ESV in Xi’an showed a significant negative association and spatial heterogeneity. Our study results provide a new way to effectively identify the relationship between LULC change and ESV, and in turn, to fully understand the ecological trends at the regional scale, laying a foundation for regional sustainable development.

Suggested Citation

  • Yajing Shao & Xuefeng Yuan & Chaoqun Ma & Ruifang Ma & Zhaoxia Ren, 2020. "Quantifying the Spatial Association between Land Use Change and Ecosystem Services Value: A Case Study in Xi’an, China," Sustainability, MDPI, vol. 12(11), pages 1-20, May.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:11:p:4449-:d:365019
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    References listed on IDEAS

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    2. Yuqing Zhao & Zenglin Han & Xiaolu Yan & Xuezhe Wang, 2022. "Integrating Spatial Heterogeneity into an Analysis between Ecosystem Service Value and Its Driving Factors: A Case Study of Dalian, China," IJERPH, MDPI, vol. 19(24), pages 1-18, December.
    3. Yuan Xiu & Ni Wang & Fangxu Peng & Quanxi Wang, 2022. "Spatial–Temporal Variations of Water Ecosystem Services Value and Its Influencing Factors: A Case in Typical Regions of the Central Loess Plateau," Sustainability, MDPI, vol. 14(12), pages 1-18, June.
    4. Jing Zhuge & Jie Zeng & Wanxu Chen & Chi Zhang, 2023. "Impacts of Land-Use Change on Ecosystem Services Value in the South-to-North Water Diversion Project, China," IJERPH, MDPI, vol. 20(6), pages 1-20, March.
    5. Syafri Syafri & Batara Surya & Ridwan Ridwan & Syamsul Bahri & Emil Salim Rasyidi & Sudarman Sudarman, 2020. "Water Quality Pollution Control and Watershed Management Based on Community Participation in Maros City, South Sulawesi, Indonesia," Sustainability, MDPI, vol. 12(24), pages 1-39, December.

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