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Spatiotemporal Assessment of Water Conservation Function for Ecosystem Service Management Using a GIS-Based Data-Fusion Analysis Framework

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Abstract

In order to improve water ecological service and ensure water resource protection, it is imperative to develop an effective evaluation method to identify the water-holding capacity of eco-environmental system. In this study, a comprehensive GIS-based data-fusion analysis framework is developed to evaluate the significance of water conservation/retention function (WCF), identify the potential effects of eco-environmental system on water-holding capability, and analyze the dynamic change of Songhua River basin for years 2000, 2005, 2010 and 2015. A general water conservation/retention function evaluation index is constructed associated with climate, geography and human factors to describe water conservation/retention function. Then, an exponential calculation method and regional integrated significance degree coefficient are used to calculate the WCF significance degrees and identify the distribution and change of WCF significance. The developed assessment framework is then applied in Songhua River basin for water ecological protection and environmental management. The results of WCF significance assessment indicate that only 0.56–2.97% of Songhua River basin is very important level of WCF ecological region with high water-holding capacity. The results of WCF significance assessment can help decision makers understand the temporal and spatial changes, identify priority areas for water resource protection, and provide a reasonable policy-guidance for mid- or long-term eco-environmental planning.

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Data Availability

Data, models, and codes generated or used for this study are available from the corresponding author on reasonable request.

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Acknowledgements

The authors are extremely grateful to the editors and anonymous reviewers for their insightful comments and suggestions.

Funding

This research was supported by Heilongjiang Postdoctoral Scientific Research Development Fund (Grant No. LBH-Q20068), Natural Science Foundation of Heilongjiang Province (Grant No.YQ2021E004), the National Natural Science Foundation of China (Grant No.52000022), and the National Natural Science Foundation of China (Grant No. 51809042).

Author information

Authors and Affiliations

  1. School of Information Engineering, Harbin University, Harbin, 150086, China

    Dexun Jiang

  2. School of Conservancy and Civil Engineering, Northeast Agricultural University, Harbin, 150030, China

    Yiting Guo, Jie Liu, Hao Zhu & Zhijuan Qi

  3. School of Software, Harbin Institute of Technology, Harbin, 150090, China

    Yuanlong Chen

Authors
  1. Dexun Jiang
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  2. Yiting Guo
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  3. Jie Liu
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  4. Hao Zhu
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  5. Zhijuan Qi
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  6. Yuanlong Chen
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Contributions

All authors contributed to the study conception, design and revisions. Conceptualization and coding: D.X. Jiang and Y.L. Chen; Methodology: D.X. Jiang, and Z.J. Qi; Formal analysis and investigation: D.X. Jiang and H. Zhu; Writing—original draft preparation: D.X. Jiang and J. Liu; Writing—review and editing: D.X. Jiang and Y.T. Guo; Supervision: J. Liu. All of the authors have read and agreed to the published version of the manuscript.

Corresponding authors

Correspondence to Jie Liu or Yuanlong Chen.

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This study does not contain any studies with human participants or animals performed by any of the authors.

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Jiang, D., Guo, Y., Liu, J. et al. Spatiotemporal Assessment of Water Conservation Function for Ecosystem Service Management Using a GIS-Based Data-Fusion Analysis Framework. Water Resour Manage 35, 4309–4323 (2021). https://doi.org/10.1007/s11269-021-02949-6

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  • DOI: https://doi.org/10.1007/s11269-021-02949-6

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