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Systematic bibliographic research on eutrophication-based ecological modelling of aquatic ecosystems through the lens of science mapping

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  • Dash, Siddhant
  • Kalamdhad, Ajay S.

Abstract

The present study provides a scientific investigation of a detailed review of the published works in the domain of eutrophication-based ecological modelling till the year 2020. A total of 399 articles were extracted for final analyses, which were subjected to a three-step hierarchical procedure; Bibliographic examination, scientometric investigation, and qualitative assessment. The bibliographic test filtered 320 samples, based on which the article samples were subjected to several scientometric analyses, such as identifying the most influential and productive journals, researchers, articles, and countries. Keyword analysis revealed the most frequently used keywords in the research domain and amongst scholars around the world. The scientometric studies were followed by a qualitative assessment wherein the current trends in research were discussed. This was followed by identifying the critical gaps in research to provide future direction. Thus, this research offers a more comprehensive and holistic approach towards the critical review of the published literature, thereby providing essential insights to the researchers regarding the existing practices of developing eutrophication-based ecological models and the future prospects lying ahead.

Suggested Citation

  • Dash, Siddhant & Kalamdhad, Ajay S., 2022. "Systematic bibliographic research on eutrophication-based ecological modelling of aquatic ecosystems through the lens of science mapping," Ecological Modelling, Elsevier, vol. 472(C).
    • Handle: RePEc:eee:ecomod:v:472:y:2022:i:c:s0304380022001855
    DOI: 10.1016/j.ecolmodel.2022.110080
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    1. Xu, Yanhong & Peng, Hong & Yang, Yinqun & Zhang, Wanshun & Wang, Shuangling, 2014. "A cumulative eutrophication risk evaluation method based on a bioaccumulation model," Ecological Modelling, Elsevier, vol. 289(C), pages 77-85.
    2. Weiping, Hu & Jørgensen, Sven Erik & Fabing, Zhang & Yonggen, Chen & Zhixin, Hu & Longyuan, Yang, 2011. "A model on the carbon cycling in Lake Taihu, China," Ecological Modelling, Elsevier, vol. 222(16), pages 2973-2991.
    3. Das, Tanaya & Chakraborti, Saranya & Mukherjee, Joydeep & Sen, Goutam Kumar, 2018. "Mathematical modelling for phytoplankton distribution in Sundarbans Estuarine System, India," Ecological Modelling, Elsevier, vol. 368(C), pages 111-120.
    4. Langmead, Olivia & McQuatters-Gollop, Abigail & Mee, Laurence D. & Friedrich, Jana & Gilbert, Alison J. & Gomoiu, Marian-Traian & Jackson, Emma L. & Knudsen, Ståle & Minicheva, Galina & Todorova, Vale, 2009. "Recovery or decline of the northwestern Black Sea: A societal choice revealed by socio-ecological modelling," Ecological Modelling, Elsevier, vol. 220(21), pages 2927-2939.
    5. Hu, Weiping, 2016. "A review of the models for Lake Taihu and their application in lake environmental management," Ecological Modelling, Elsevier, vol. 319(C), pages 9-20.
    6. Magnea, Ulrika & Sciascia, Roberta & Paparella, Francesco & Tiberti, Rocco & Provenzale, Antonello, 2013. "A model for high-altitude alpine lake ecosystems and the effect of introduced fish," Ecological Modelling, Elsevier, vol. 251(C), pages 211-220.
    7. Taguchi, Koichi & Nakata, Kisaburo, 2009. "Evaluation of biological water purification functions of inland lakes using an aquatic ecosystem model," Ecological Modelling, Elsevier, vol. 220(18), pages 2255-2271.
    8. Xu, F. & Yang, Z.F. & Chen, B. & Zhao, Y.W., 2013. "Impact of submerged plants on ecosystem health of the plant-dominated Baiyangdian Lake, China," Ecological Modelling, Elsevier, vol. 252(C), pages 167-175.
    9. Toby Tyrrell, 1999. "The relative influences of nitrogen and phosphorus on oceanic primary production," Nature, Nature, vol. 400(6744), pages 525-531, August.
    10. Mukherjee, B. & Mukherjee, D. & Nivedita, M., 2008. "Modelling carbon and nutrient cycling in a simulated pond system at Ranchi," Ecological Modelling, Elsevier, vol. 213(3), pages 437-448.
    11. He, Guojian & Fang, Hongwei & Bai, Sen & Liu, Xiaobo & Chen, Minghong & Bai, Jing, 2011. "Application of a three-dimensional eutrophication model for the Beijing Guanting Reservoir, China," Ecological Modelling, Elsevier, vol. 222(8), pages 1491-1501.
    12. Jeong, Hanseok & Adamowski, Jan, 2016. "A system dynamics based socio-hydrological model for agricultural wastewater reuse at the watershed scale," Agricultural Water Management, Elsevier, vol. 171(C), pages 89-107.
    13. Prokopkin, I.G. & Barkhatov, Y.V. & Khromechek, E.B., 2014. "A one-dimensional model for phytoflagellate distribution in the meromictic lake," Ecological Modelling, Elsevier, vol. 288(C), pages 1-8.
    14. Li-kun, Yang & Sen, Peng & Xin-hua, Zhao & Xia, Li, 2017. "Development of a two-dimensional eutrophication model in an urban lake (China) and the application of uncertainty analysis," Ecological Modelling, Elsevier, vol. 345(C), pages 63-74.
    15. Zouiten, Hala & Díaz, César Álvarez & Gómez, Andrés García & Cortezón, José Antonio Revilla & Alba, Javier García, 2013. "An advanced tool for eutrophication modeling in coastal lagoons: Application to the Victoria lagoon in the north of Spain," Ecological Modelling, Elsevier, vol. 265(C), pages 99-113.
    16. McCullough, Ian M. & Dugan, Hilary A. & Farrell, Kaitlin J. & Morales-Williams, Ana M. & Ouyang, Zutao & Roberts, Derek & Scordo, Facundo & Bartlett, Sarah L. & Burke, Samantha M. & Doubek, Jonathan P, 2018. "Dynamic modeling of organic carbon fates in lake ecosystems," Ecological Modelling, Elsevier, vol. 386(C), pages 71-82.
    17. Zhang, Weitao & Watson, Sue B. & Rao, Yerubandi R. & Kling, Hedy J., 2013. "A linked hydrodynamic, water quality and algal biomass model for a large, multi-basin lake: A working management tool," Ecological Modelling, Elsevier, vol. 269(C), pages 37-50.
    18. Trolle, Dennis & Skovgaard, Henrik & Jeppesen, Erik, 2008. "The Water Framework Directive: Setting the phosphorus loading target for a deep lake in Denmark using the 1D lake ecosystem model DYRESM–CAEDYM," Ecological Modelling, Elsevier, vol. 219(1), pages 138-152.
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