IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i16p12287-d1215496.html
   My bibliography  Save this article

The Impact of Restoration and Protection Based on Sustainable Development Goals on Urban Wetland Health: A Case of Yinchuan Plain Urban Wetland Ecosystem, Ningxia, China

Author

Listed:
  • Xiaolan Wu

    (School of Geography and Planning, Ningxia University, Yinchuan 750014, China)

  • Xiaoyan Bu

    (School of Geography and Planning, Ningxia University, Yinchuan 750014, China)

  • Suocheng Dong

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Yushuang Ma

    (School of Geography and Planning, Ningxia University, Yinchuan 750014, China)

  • Yan Ma

    (School of Geography and Planning, Ningxia University, Yinchuan 750014, China)

  • Yarong Ma

    (School of Geography and Planning, Ningxia University, Yinchuan 750014, China)

  • Yulian Liu

    (School of Resource and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China)

  • Haixian Wang

    (School of Geography and Planning, Ningxia University, Yinchuan 750014, China)

  • Xiaomin Wang

    (School of Geography and Planning, Ningxia University, Yinchuan 750014, China)

  • Jiarui Wang

    (School of Geography and Planning, Ningxia University, Yinchuan 750014, China)

Abstract

Drawing heavily upon the Sustainable Development Goals (SDGs), an SDG–pressure–state–response (PSR)–ecological–economic–social (EES) model and an index system for wetland ecosystem health assessment were constructed from the three dimensions of environment, economy, and society. By using the Yinchuan Plain urban wetlands in the Yellow River Basin of China as a case study, their ecological health status from 2000 to 2020 was systematically evaluated by integrating information from remote sensing technology, geographic information technology, field sampling, information entropy (IE), a landscape index, and a Comprehensive Evaluation Index. The results show that the restoration and protection of wetland ecosystems have achieved remarkable results in the Yinchuan Plain. The wetland ecological health index has significantly increased from 0.26 to 0.67, which is an increase of 157.7%, and the health level increased from poor (II) to sub-healthy (IV). Factors restricting the healthy development of wetland ecology in the Yinchuan Plain include wetland construction, investment, population density, the number of tourists, and fertilizer use. The research results show that the wetland restoration and protection have achieved specific environmental, economic, and social results in the Yinchuan Plain. However, we also need to pay attention to increasing the investment in wetland environmental governance, strictly controlling the intensity of land use and the total amount of chemical fertilizer applied in various regions, scientifically carrying out wetland restoration and protection, reasonably coordinating the relationship between environment and society, and providing technical and decision-making support for wetland management and protection. This study provides a reference for the ecological governance and sustainable development of wetlands in large river basins worldwide.

Suggested Citation

  • Xiaolan Wu & Xiaoyan Bu & Suocheng Dong & Yushuang Ma & Yan Ma & Yarong Ma & Yulian Liu & Haixian Wang & Xiaomin Wang & Jiarui Wang, 2023. "The Impact of Restoration and Protection Based on Sustainable Development Goals on Urban Wetland Health: A Case of Yinchuan Plain Urban Wetland Ecosystem, Ningxia, China," Sustainability, MDPI, vol. 15(16), pages 1-19, August.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12287-:d:1215496
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/16/12287/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/16/12287/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Augusiak, Jacqueline & Van den Brink, Paul J. & Grimm, Volker, 2014. "Merging validation and evaluation of ecological models to ‘evaludation’: A review of terminology and a practical approach," Ecological Modelling, Elsevier, vol. 280(C), pages 117-128.
    2. Karl M. Wantzen & Carlos Bernardo Mascarenhas Alves & Sidia Diaouma Badiane & Raita Bala & Martín Blettler & Marcos Callisto & Yixin Cao & Melanie Kolb & G. Mathias Kondolf & Marina Fernandes Leite & , 2019. "Urban Stream and Wetland Restoration in the Global South—A DPSIR Analysis," Sustainability, MDPI, vol. 11(18), pages 1-48, September.
    3. Marwa M. Waly & Slobodan B. Mickovski & Craig Thomson & Kingsley Amadi, 2022. "Impact of Implementing Constructed Wetlands on Supporting the Sustainable Development Goals," Land, MDPI, vol. 11(11), pages 1-14, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ziyu Zhang & Biao Zeng, 2024. "Low Residents’ Satisfaction with Wetland Leisure Demand in Typical Urban Areas of the Semi-Arid Region in Western China: Spatial Variations and Their Causes," Land, MDPI, vol. 13(6), pages 1-12, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lorscheid, Iris & Meyer, Matthias, 2016. "Divide and conquer: Configuring submodels for valid and efficient analyses of complex simulation models," Ecological Modelling, Elsevier, vol. 326(C), pages 152-161.
    2. Grimm, Volker & Berger, Uta, 2016. "Robustness analysis: Deconstructing computational models for ecological theory and applications," Ecological Modelling, Elsevier, vol. 326(C), pages 162-167.
    3. Ahmed Laatabi & Nicolas Marilleau & Tri Nguyen-Huu & Hassan Hbid & Mohamed Ait Babram, 2018. "ODD+2D: An ODD Based Protocol for Mapping Data to Empirical ABMs," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(2), pages 1-9.
    4. Watson, Joseph W & Boyd, Robin & Dutta, Ritabrata & Vasdekis, Georgios & Walker, Nicola D. & Roy, Shovonlal & Everitt, Richard & Hyder, Kieran & Sibly, Richard M, 2022. "Incorporating environmental variability in a spatially-explicit individual-based model of European sea bass✰," Ecological Modelling, Elsevier, vol. 466(C).
    5. Grimm, Volker & Berger, Uta, 2016. "Structural realism, emergence, and predictions in next-generation ecological modelling: Synthesis from a special issue," Ecological Modelling, Elsevier, vol. 326(C), pages 177-187.
    6. Boult, Victoria L. & Quaife, Tristan & Fishlock, Vicki & Moss, Cynthia J. & Lee, Phyllis C. & Sibly, Richard M., 2018. "Individual-based modelling of elephant population dynamics using remote sensing to estimate food availability," Ecological Modelling, Elsevier, vol. 387(C), pages 187-195.
    7. Braun, A. & Rosner, H.-J. & Hagensieker, R. & Dieball, S., 2015. "Multi-method dynamical reconstruction of the ecological impact of copper mining on Chinese historical landscapes," Ecological Modelling, Elsevier, vol. 303(C), pages 42-54.
    8. Honkaniemi, Juha & Ojansuu, Risto & Kasanen, Risto & Heliövaara, Kari, 2018. "Interaction of disturbance agents on Norway spruce: A mechanistic model of bark beetle dynamics integrated in simulation framework WINDROT," Ecological Modelling, Elsevier, vol. 388(C), pages 45-60.
    9. Kjelland, Michael E. & Piercy, Candice D. & Swannack, Todd M., 2017. "Beyond graphs and tables: Enhancing explanatory power of complex environmental simulations through 3D printed model output," Ecological Modelling, Elsevier, vol. 360(C), pages 244-251.
    10. Ayllón, Daniel & Railsback, Steven F. & Vincenzi, Simone & Groeneveld, Jürgen & Almodóvar, Ana & Grimm, Volker, 2016. "InSTREAM-Gen: Modelling eco-evolutionary dynamics of trout populations under anthropogenic environmental change," Ecological Modelling, Elsevier, vol. 326(C), pages 36-53.
    11. Robert Huber & Hang Xiong & Kevin Keller & Robert Finger, 2022. "Bridging behavioural factors and standard bio‐economic modelling in an agent‐based modelling framework," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 35-63, February.
    12. Zhang, Jingjing & Dennis, Todd E. & Landers, Todd J. & Bell, Elizabeth & Perry, George L.W., 2017. "Linking individual-based and statistical inferential models in movement ecology: A case study with black petrels (Procellaria parkinsoni)," Ecological Modelling, Elsevier, vol. 360(C), pages 425-436.
    13. Fitts, Lucia A. & Fraser, Jacob S. & Miranda, Brian R. & Domke, Grant M. & Russell, Matthew B. & Sturtevant, Brian R., 2023. "An iterative site-scale approach to calibrate and corroborate successional processes within a forest landscape model," Ecological Modelling, Elsevier, vol. 477(C).
    14. MacPherson, Brian & Gras, Robin, 2016. "Individual-based ecological models: Adjunctive tools or experimental systems?," Ecological Modelling, Elsevier, vol. 323(C), pages 106-114.
    15. Singer, Alexander & Johst, Karin & Banitz, Thomas & Fowler, Mike S. & Groeneveld, Jürgen & Gutiérrez, Alvaro G. & Hartig, Florian & Krug, Rainer M. & Liess, Matthias & Matlack, Glenn & Meyer, Katrin M, 2016. "Community dynamics under environmental change: How can next generation mechanistic models improve projections of species distributions?," Ecological Modelling, Elsevier, vol. 326(C), pages 63-74.
    16. Marcelia Castro Cardoso & Helionora da Silva Alves & Izaura Cristina Nunes Pereira Costa & Thiago Almeida Vieira, 2021. "Anthropogenic Actions and Socioenvironmental Changes in Lake of Juá, Brazilian Amazonia," Sustainability, MDPI, vol. 13(16), pages 1-15, August.
    17. Erickson, Richard A. & Eager, Eric A. & Brey, Marybeth K. & Hansen, Michael J. & Kocovsky, Patrick M., 2017. "An integral projection model with YY-males and application to evaluating grass carp control," Ecological Modelling, Elsevier, vol. 361(C), pages 14-25.
    18. Boyd, Robin & Roy, Shovonlal & Sibly, Richard & Thorpe, Robert & Hyder, Kieran, 2018. "A general approach to incorporating spatial and temporal variation in individual-based models of fish populations with application to Atlantic mackerel," Ecological Modelling, Elsevier, vol. 382(C), pages 9-17.
    19. Crouse, Kristin N. & Desai, Nisarg P. & Cassidy, Kira A. & Stahler, Erin E. & Lehman, Clarence L. & Wilson, Michael L., 2022. "Larger territories reduce mortality risk for chimpanzees, wolves, and agents: Multiple lines of evidence in a model validation framework," Ecological Modelling, Elsevier, vol. 471(C).
    20. Troost, Christian & Huber, Robert & Bell, Andrew R. & van Delden, Hedwig & Filatova, Tatiana & Le, Quang Bao & Lippe, Melvin & Niamir, Leila & Polhill, J. Gareth & Sun, Zhanli & Berger, Thomas, 2023. "How to keep it adequate: A protocol for ensuring validity in agent-based simulation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 159, pages 1-21.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12287-:d:1215496. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.