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Response of Ecosystem Service Value to Spatio-Temporal Pattern Evolution of Land Use in Typical Heavy Industry Cities: A Case Study of Taiyuan City, China

Author

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  • Xue Ding

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China
    Key Laboratory of Tourism and Resources and Environment in Shandong Province, Taishan University, Tai’an 271000, China)

  • Weijun Zhao

    (Key Laboratory of Tourism and Resources and Environment in Shandong Province, Taishan University, Tai’an 271000, China)

  • Tingting Yan

    (School of Civil and Architectural Engineering, Shandong University of Technology, Zibo 255000, China)

  • Lan Wang

    (Piesat Information Technology Co., Ltd., Beijing 100195, China)

Abstract

Ecosystem services value (ESV) has been one index of quantitative evaluation for the ecological livability of heavy industry cities in the new era, which is intimately relevant to patterns of spatio-temporal changes in land use. This study aims to reveal the response of ecosystem service value in heavy industrial cities to the spatial-temporal evolution structure of land use and to analyze the cold and hot spots and sensitivity. In this study, Taiyuan was taken as an example, and Landsat images were adopted as the basic data. This study used intensity analysis, revised ESV, fishing nets, sensitivity analysis, and the methods of hotspot analysis and spatial overlay. The results showed as follows, (1) The characteristics of land use structure evolution mainly focus on the increase of construction land in the early and the rapid development stage of heavy industry cities. All land use types were partly transferred to construction land, but farmland was the main source, with the largest change intensity in the rapid development stage in Taiyuan; (2) The low-value zones of ESV were mostly distributed in the main urban area for construction and farmland, while the high-value zones were primarily distributed in the forestland and grassland. They were distributed in the Fenhe River valley, western and northern mountainous and hilly areas of Taiyuan. The total ESV continued to decline from 2003 to 2018, with a loss amount of RMB 29 million; (3) The patches of land use change were more and more broken, and the spatial distribution of the cold and hot spots was more and more dispersed. The cold and hot spots of ESV were concentrated in the eastern main urban area and its surrounding areas and expanded to the north and south; (4) The forestland was the most sensitive land factor of ESV. The study provides a theoretical method for land use planning, environmental governance, and ecological restoration in heavy industry cities in the new era.

Suggested Citation

  • Xue Ding & Weijun Zhao & Tingting Yan & Lan Wang, 2022. "Response of Ecosystem Service Value to Spatio-Temporal Pattern Evolution of Land Use in Typical Heavy Industry Cities: A Case Study of Taiyuan City, China," Land, MDPI, vol. 11(11), pages 1-16, November.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:11:p:2035-:d:971634
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    References listed on IDEAS

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    1. Omaid Najmuddin & Zhihui Li & Rabnawaz Khan & Weiqing Zhuang, 2022. "Valuation of Land-Use/Land-Cover-Based Ecosystem Services in Afghanistan—An Assessment of the Past and Future," Land, MDPI, vol. 11(11), pages 1-32, October.
    2. Robert Gilmore Pontius & Yan Gao & Nicholas M. Giner & Takashi Kohyama & Mitsuru Osaki & Kazuyo Hirose, 2013. "Design and Interpretation of Intensity Analysis Illustrated by Land Change in Central Kalimantan, Indonesia," Land, MDPI, vol. 2(3), pages 1-19, July.
    3. Long, Kaisheng & Omrani, Hichem & Pijanowski, Bryan C., 2020. "Impact of local payments for ecosystem services on land use in a developed area of China: A qualitative analysis based on an integrated conceptual framework," Land Use Policy, Elsevier, vol. 96(C).
    4. Liu, Yong & Li, Jinchang & Zhang, Hong, 2012. "An ecosystem service valuation of land use change in Taiyuan City, China," Ecological Modelling, Elsevier, vol. 225(C), pages 127-132.
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    1. Jing Li & Jian Qiu & Majid Amani-Beni & Yuyang Wang & Mian Yang & Juewen Chen, 2023. "A Modified Equivalent Factor Method Evaluation Model Based on Land Use Changes in Tianfu New Area," Land, MDPI, vol. 12(7), pages 1-22, July.

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