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Research progress on ecological models in the field of water eutrophication: CiteSpace analysis based on data from the ISI web of science database

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  • Hu, Wen
  • Li, Chun-hua
  • Ye, Chun
  • Wang, Ji
  • Wei, Wei-wei
  • Deng, Yong

Abstract

Eco-models have shown great potential in the field of water eutrophication research. We use the information visualization technology of CiteSpace to present a systematic review of published literature on the application of eco-models to eutrophication from 1968-2018. In total, 2099 references from the Web of Science (WoS) Core Collection were analyzed using the CiteSpace software, bibliometric methods, and documents combing methods to determine the hotspots, frontiers, and development trends in the application of eco-models to eutrophication. According to our analysis, ecological models in the field of water eutrophication are applied to the Baltic Sea, agricultural phosphorus use, particulate nitrogen input, risk assessment, net ecosystem production, competition patterns, biological factors, semi-enclosed marine systems, chlorophyll fluorescence parameters, evolving conceptual models, and nutrient transfer. The eco-models range from dimension-models to time-dependent dynamic models. Moreover, the recent trend of close coupling between modeling and the acquisition of new types of experimental data (i.e., remote sensing, high-frequency field sensors) provides a higher prediction ability of ecological models.

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  • Hu, Wen & Li, Chun-hua & Ye, Chun & Wang, Ji & Wei, Wei-wei & Deng, Yong, 2019. "Research progress on ecological models in the field of water eutrophication: CiteSpace analysis based on data from the ISI web of science database," Ecological Modelling, Elsevier, vol. 410(C), pages 1-1.
    • Handle: RePEc:eee:ecomod:v:410:y:2019:i:c:1
    DOI: 10.1016/j.ecolmodel.2019.108779
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    References listed on IDEAS

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    Cited by:

    1. Jinbo Guo & Jianhui Xue & Jianfeng Hua & Lei Xuan & Yunlong Yin, 2022. "Research Status and Trends of Underwater Photosynthesis," Sustainability, MDPI, vol. 14(8), pages 1-18, April.
    2. Haizhen Cao & Hongxiang Ou & Weiyi Ju & Mengli Pan & Honglai Xue & Fang Zhu, 2023. "Visual Analysis of International Environmental Security Management Research (1997–2021) Based on VOSviewer and CiteSpace," IJERPH, MDPI, vol. 20(3), pages 1-18, January.
    3. Yuguo Jiang & Min Li & Asante Dennis & Xin Liao & Enock Mintah Ampaw, 2022. "The Hotspots and Trends in the Literature on Cleaner Production: A Visualized Analysis Based on Citespace," Sustainability, MDPI, vol. 14(15), pages 1-18, July.
    4. Nosipho Zwane & Henerica Tazvinga & Christina Botai & Miriam Murambadoro & Joel Botai & Jaco de Wit & Brighton Mabasa & Siphamandla Daniel & Tafadzwanashe Mabhaudhi, 2022. "A Bibliometric Analysis of Solar Energy Forecasting Studies in Africa," Energies, MDPI, vol. 15(15), pages 1-23, July.
    5. Lin, Boqiang & Su, Tong, 2020. "Mapping the oil price-stock market nexus researches: A scientometric review," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 133-147.

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