IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v443y2021ics0304380021000284.html
   My bibliography  Save this article

Research progress and hotspot analysis for reactive nitrogen flows in macroscopic systems based on a CiteSpace analysis

Author

Listed:
  • Zhang, Xiaolin
  • Zhang, Yan
  • Wang, Yifan
  • Fath, Brian D.

Abstract

Human activities have significantly changed the global nitrogen cycle and its underlying processes. Many scholars have studied flows of reactive nitrogen at a range of spatial and temporal scales. However, due to the complexity of the research subject, the diversified research content and methods, and the wide range of research scales, there has been no systematic synthesis of the research in this field. To provide that synthesis, we performed a literature search in the Web of Science core collection, then used the CiteSpace bibliometric visualization software to summarize the evolution of this field of research from 1962 to March 2020 and visualize both the evolution of and the relationships within these data. We found that the number of publications in the field of reactive nitrogen flows in macroscopic systems exploded after 1990. The co-occurrence author cooperation network (1194 scholars) showed a distribution with many groups, and Cornell University's research team (R.W. Howarth, D.P. Swaney, and E.W. Boyer) has been among the biggest contributors to the field due to the team's large number of publications. Cluster analysis showed that "urban metabolism", "denitrification", "atmospheric deposition", and "nitrogen budget" are not only research hotspots, but also important knowledge bases. In addition, based on our analysis, we predict that the impact of urbanization on the flows of reactive nitrogen, a single process with clearer flow links and more detailed accounting parameters, and relevant studies serving the goal of efficient and low-pollution management of reactive nitrogen will become hotspots. Our results provide a historical reference and suggest new frontiers for future research in the field of reactive nitrogen flows.

Suggested Citation

  • Zhang, Xiaolin & Zhang, Yan & Wang, Yifan & Fath, Brian D., 2021. "Research progress and hotspot analysis for reactive nitrogen flows in macroscopic systems based on a CiteSpace analysis," Ecological Modelling, Elsevier, vol. 443(C).
  • Handle: RePEc:eee:ecomod:v:443:y:2021:i:c:s0304380021000284
    DOI: 10.1016/j.ecolmodel.2021.109456
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380021000284
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2021.109456?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Schramski, J.R. & Gattie, D.K. & Patten, B.C. & Borrett, S.R. & Fath, B.D. & Whipple, S.J., 2007. "Indirect effects and distributed control in ecosystems: Distributed control in the environ networks of a seven-compartment model of nitrogen flow in the Neuse River Estuary, USA—Time series analysis," Ecological Modelling, Elsevier, vol. 206(1), pages 18-30.
    2. Shweta Singh & Christopher Kennedy, 2018. "The Nexus of Carbon, Nitrogen, and Biodiversity Impacts from Urban Metabolism," Journal of Industrial Ecology, Yale University, vol. 22(4), pages 853-867, August.
    3. Zhang, Yan & Lu, Hanjing & Fath, Brian D. & Zheng, Hongmei, 2016. "Modelling urban nitrogen metabolic processes based on ecological network analysis: A case of study in Beijing, China," Ecological Modelling, Elsevier, vol. 337(C), pages 29-38.
    4. Whipple, Stuart J. & Borrett, Stuart R. & Patten, Bernard C. & Gattie, David K. & Schramski, John R. & Bata, Seth A., 2007. "Indirect effects and distributed control in ecosystems: Comparative network environ analysis of a seven-compartment model of nitrogen flow in the Neuse River estuary, USA—Time series analysis," Ecological Modelling, Elsevier, vol. 206(1), pages 1-17.
    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. Wu, Dongdong & Zhang, Yan & Zhang, Xiaolin & Fath, Brain D., 2023. "Research progress of urban nitrogen cycle and metabolism," Ecological Modelling, Elsevier, vol. 486(C).
    2. Leng Liu & Congjie Cao & Wei Song, 2023. "Bibliometric Analysis in the Field of Rural Revitalization: Current Status, Progress, and Prospects," IJERPH, MDPI, vol. 20(1), pages 1-18, January.
    3. Tingting Yang & Jinning Liu & Hongfei Zhu & Lei Zhu & Tao Kong & Shanshan Tai, 2023. "The Bibliometric Analysis of Microplastics in Soil Environments: Hotspots of Research and Trends of Development," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    4. Bo Liu & Wei Song & Qian Sun, 2022. "Status, Trend, and Prospect of Global Farmland Abandonment Research: A Bibliometric Analysis," IJERPH, MDPI, vol. 19(23), pages 1-30, November.

    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. Borrett, Stuart R. & Sheble, Laura & Moody, James & Anway, Evan C., 2018. "Bibliometric review of ecological network analysis: 2010–2016," Ecological Modelling, Elsevier, vol. 382(C), pages 63-82.
    2. Yang, Jin & Chen, Bin, 2016. "Energy–water nexus of wind power generation systems," Applied Energy, Elsevier, vol. 169(C), pages 1-13.
    3. Zhai, Mengyu & Huang, Guohe & Liu, Lirong & Zheng, Boyue & Guan, Yuru, 2020. "Inter-regional carbon flows embodied in electricity transmission: network simulation for energy-carbon nexus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    4. Schramski, J.R. & Patten, B.C. & Kazanci, C. & Gattie, D.K. & Kellam, N.N., 2009. "The Reynolds transport theorem: Application to ecological compartment modeling and case study of ecosystem energetics," Ecological Modelling, Elsevier, vol. 220(22), pages 3225-3232.
    5. Borrett, S.R. & Freeze, M.A. & Salas, A.K., 2011. "Equivalence of the realized input and output oriented indirect effects metrics in Ecological Network Analysis," Ecological Modelling, Elsevier, vol. 222(13), pages 2142-2148.
    6. Hines, David E. & Borrett, Stuart R., 2014. "A comparison of network, neighborhood, and node levels of analyses in two models of nitrogen cycling in the Cape Fear River Estuary," Ecological Modelling, Elsevier, vol. 293(C), pages 210-220.
    7. Yang, Zhifeng & Mao, Xufeng, 2011. "Wetland system network analysis for environmental flow allocations in the Baiyangdian Basin, China," Ecological Modelling, Elsevier, vol. 222(20), pages 3785-3794.
    8. Borrett, S.R. & Freeze, M.A., 2011. "Reconnecting environs to their environment," Ecological Modelling, Elsevier, vol. 222(14), pages 2393-2403.
    9. Zhang, Yan & Zheng, Hongmei & Fath, Brian D., 2015. "Ecological network analysis of an industrial symbiosis system: A case study of the Shandong Lubei eco-industrial park," Ecological Modelling, Elsevier, vol. 306(C), pages 174-184.
    10. Duan, Cuncun & Chen, Bin & Feng, Kuishuang & Liu, Zhu & Hayat, Tasawar & Alsaedi, Ahmed & Ahmad, Bashir, 2018. "Interregional carbon flows of China," Applied Energy, Elsevier, vol. 227(C), pages 342-352.
    11. Zhang, Yan & Yang, Zhifeng & Yu, Xiangyi, 2009. "Ecological network and emergy analysis of urban metabolic systems: Model development, and a case study of four Chinese cities," Ecological Modelling, Elsevier, vol. 220(11), pages 1431-1442.
    12. Bata, Seth A. & Borrett, Stuart R. & Patten, Bernard C. & Whipple, Stuart J. & Schramski, John R. & Gattie, David K., 2007. "Equivalence of throughflow- and storage-based environs," Ecological Modelling, Elsevier, vol. 206(3), pages 400-406.
    13. Li, Y. & Yang, Z.F., 2011. "Quantifying the sustainability of water use systems: Calculating the balance between network efficiency and resilience," Ecological Modelling, Elsevier, vol. 222(10), pages 1771-1780.
    14. Lu, Jingzhao & Lu, Hongwei & Wang, Weipeng & Feng, SanSan & Lei, Kaiwen, 2021. "Ecological risk assessment of heavy metal contamination of mining area soil based on land type changes: An information network environ analysis," Ecological Modelling, Elsevier, vol. 455(C).
    15. Whipple, Stuart J. & Patten, Bernard C. & Borrett, Stuart R., 2014. "Indirect effects and distributed control in ecosystems," Ecological Modelling, Elsevier, vol. 293(C), pages 161-186.
    16. Jordán, Ferenc & Okey, Thomas A. & Bauer, Barbara & Libralato, Simone, 2008. "Identifying important species: Linking structure and function in ecological networks," Ecological Modelling, Elsevier, vol. 216(1), pages 75-80.
    17. Zhang, Yan & Lu, Hanjing & Fath, Brian D. & Zheng, Hongmei, 2016. "Modelling urban nitrogen metabolic processes based on ecological network analysis: A case of study in Beijing, China," Ecological Modelling, Elsevier, vol. 337(C), pages 29-38.
    18. Matamba, L. & Kazanci, C. & Schramski, J.R. & Blessing, M. & Alexander, P. & Patten, B.C., 2009. "Throughflow analysis: A stochastic approach," Ecological Modelling, Elsevier, vol. 220(22), pages 3174-3181.
    19. Li, Y. & Chen, B. & Yang, Z.F., 2009. "Ecological network analysis for water use systems—A case study of the Yellow River Basin," Ecological Modelling, Elsevier, vol. 220(22), pages 3163-3173.
    20. Mao, Xufeng & Cui, Lijuan & Wang, Changhai, 2013. "Exploring the hydrologic relationships in a swamp-dominated watershed—A network-environ-analysis based approach," Ecological Modelling, Elsevier, vol. 252(C), pages 273-279.

    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:eee:ecomod:v:443:y:2021:i:c:s0304380021000284. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    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.