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Driving Factor Analysis of Ecosystem Service Balance for Watershed Management in the Lancang River Valley, Southwest China

Author

Listed:
  • Shiliang Liu

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
    These authors contributed equally to this work.)

  • Yongxiu Sun

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)

  • Xue Wu

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)

  • Weiqiang Li

    (State Key Laboratory of Cotton Biology, Henan Joint International Laboratory for Crop Multi-Omics Research, School of Life Sciences, Henan University, 85 Minglun Street, Kaifeng 475001, China)

  • Yixuan Liu

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)

  • Lam-Son Phan Tran

    (Institute of Research and Development, Duy Tan University, 3 Quang Trung, Da Nang 550000, Vietnam
    Institute of Genomics for Crop Abiotic Stress Tolerance, Department of Plant and Soil Science, Texas Tech University, Lubbock, TX 79409, USA
    These authors contributed equally to this work.)

Abstract

Revealing the spatio-temporal change of the supply, demand and balance of ecosystem services (ESs) associated with human activities and land-use changes is of great significance for watershed ecosystem management. Taking the Lancang river valley as a case, we explicitly studied the ES spatial characteristics, using the land use/land cover (LULC) matrix model, Optimized Hot Spot Analysis and landscape pattern analysis. Furthermore, we screened out the dominant explanatory variables that had significant influence on the ES supply, demand and balance by means of the Geographical Weighted Regression (GWR) method at pixel scale. The results showed that the ES demand intensity varied little throughout the watershed, while the downstream ES supply capacity and balance values were greater than upstream ones. Meanwhile, the hotspots of ES supply and demand were mainly distributed in the south part with coldspots in the north part. Human activity factors integrating landscape pattern variables were verified to have a negative impact on the ES balance in general. Among them, the Largest Patch Index (LPI) had a negative influence on the majority of pixels, while the Gross Domestic Product (GDP), cultivated land ratio and Area Weighted Average Patch Fractal Dimension (AWAPFD) had positive effects on a few pixels. This study will provide scientific support for regional ecosystem service trade-off and regulation at multiple scales.

Suggested Citation

  • Shiliang Liu & Yongxiu Sun & Xue Wu & Weiqiang Li & Yixuan Liu & Lam-Son Phan Tran, 2021. "Driving Factor Analysis of Ecosystem Service Balance for Watershed Management in the Lancang River Valley, Southwest China," Land, MDPI, vol. 10(5), pages 1-17, May.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:5:p:522-:d:554149
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    References listed on IDEAS

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    Cited by:

    1. Yabo Zhao & Weiwei Zhang & Cansong Li & Shifa Ma & Xiwen Zhang & Haiyan Jiang, 2022. "Disturbances Brought about by Human Activities in Relation to the Eco-Environment of the Main Stream of the Tarim River, 2000–2020," Land, MDPI, vol. 11(3), pages 1-18, March.
    2. Haoran Wang & Mengdi Zhang & Chuanying Wang & Kaiyue Wang & Chen Wang & Yang Li & Xiuling Bai & Yunkai Zhou, 2022. "Spatial and Temporal Changes of Landscape Patterns and Their Effects on Ecosystem Services in the Huaihe River Basin, China," Land, MDPI, vol. 11(4), pages 1-19, April.
    3. 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.

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