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How Does Topography Affect the Value of Ecosystem Services? An Empirical Study from the Qihe Watershed

Author

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  • Li Li

    (School of Government, Beijing Normal University, Beijing 100875, China
    Co-first author: These authors, Li Li and Yonghui Li, contributed equally to this work.)

  • Yonghui Li

    (Henan Provincial General Institute of Urban and Rural Planning and Design, Zhengzhou 450044, China
    Co-first author: These authors, Li Li and Yonghui Li, contributed equally to this work.)

  • Lan Yang

    (School of Government, Beijing Normal University, Beijing 100875, China)

  • Ying Liang

    (School of Government, Beijing Normal University, Beijing 100875, China)

  • Wenliang Zhao

    (School of Surveying and Planning, Shangqiu Normal University, Shangqiu 476000, China)

  • Guanyu Chen

    (School of Surveying and Planning, Shangqiu Normal University, Shangqiu 476000, China)

Abstract

Topographic position indices (TPIs) measure essential impacts on ecosystem service supply capacity. The identification of changes in ecosystem services and value metrics under varying TPIs has become a topical subject of global change research. Multidimensional changes in spatiotemporal and geographical aspects of ecosystem service values (ESVs) are assessed in this article using land cover/use data from 2000–2015. Effects of land-use/cover changes and topographic indices on ESVs are explored using the Chinese terrestrial unit area ecosystem service value equivalence table combined with topographic factors. A sensitivity index is introduced to quantify the robustness of total ESV to land-use/cover and topographic indices. The results show that: (1) The total ESV in the Qihe watershed declined with a change in land-use/cover during the period 2000–2015. The maximum ESV was CNY 1.984 billion in 2005 and the minimum was CNY 1.940 billion in 2010; (2) The response of ESV to land/use cover varied greatly across TPIs, with the most significant change in ESV occurring in the 0.6–0.8 TPI range and the greatest change in a single ecosystem service occurred in water areas; (3) The sensitivity indices of ESVs are all less than 1. The sensitivity indices of unused land and water tended to zero. Woodland sensitivity indices were the highest at 0.53, followed by those of arable land and grassland, owing to the large proportion of arable land and grassland areas in the overall area of land-use categories.

Suggested Citation

  • Li Li & Yonghui Li & Lan Yang & Ying Liang & Wenliang Zhao & Guanyu Chen, 2022. "How Does Topography Affect the Value of Ecosystem Services? An Empirical Study from the Qihe Watershed," IJERPH, MDPI, vol. 19(19), pages 1-16, September.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:11958-:d:921537
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    2. Wan-Jiun Chen & Jihn-Fa Jan & Chih-Hsin Chung & Shyue-Cherng Liaw, 2023. "Do Eco-Based Adaptation Measures Enhance Ecosystem Adaptation Services? Economic Evidence from a Study of Hillside Forests in a Fragile Watershed in Northeastern Taiwan," Sustainability, MDPI, vol. 15(12), pages 1-17, June.
    3. Fengjie Gao & Jinfang Cui & Si Zhang & Xiaohui Xin & Shaoliang Zhang & Jun Zhou & Ying Zhang, 2022. "Spatio-Temporal Distribution and Driving Factors of Ecosystem Service Value in a Fragile Hilly Area of North China," Land, MDPI, vol. 11(12), pages 1-20, December.
    4. Yan Li & Bin Ren & Feixue Li & Xinjie Shi & Penghui Jiang & Manchun Li, 2023. "Integrated Terrestrial and Marine Ecosystem Services Valuation and Result Variation Trends: A Case Study of Jiangsu Province, China," Land, MDPI, vol. 12(11), pages 1-30, October.

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