IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v247y2012icp286-301.html
   My bibliography  Save this article

Modelling of biogeochemical processes in fish earth ponds: Model development and calibration

Author

Listed:
  • Serpa, Dalila
  • Ferreira, Pedro Pousão
  • Caetano, Miguel
  • da Fonseca, Luís Cancela
  • Dinis, Maria Teresa
  • Duarte, Pedro

Abstract

The biogeochemistry of fish earth ponds is a complex subject due to the interactions between several water column and sediment compounds, particularly nutrient species. Models can improve our ability to understand such complexity. This study combines existing knowledge on biogeochemical processes in earth ponds into a model that calculates the concentration of the compounds that are more likely to negatively affect fish production and cause undesirable environmental impacts, such as nitrogen, phosphorus and oxygen. Aside from inorganic nutrient forms, organic compounds were included in the model due to their relevance for the nutrient cycles in aquatic systems. The model couples the pelagic and benthic compartments, due to the importance of sediment–water interactions in shallow systems. In this first approach in modelling the fishpond environment, the feedbacks between cultivated species and the environment were not accounted for the model, to reduce its complexity and easily identify the interactions between water column and sediment variables and processes. The model was calibrated for an earth pond without fish, using data sets collected during a 2-year trial. The variability of water column compounds was generally well predicted (p<0.01), however the model could not fully reproduce ammonium and dissolved organic phosphorus concentrations. In sediments, organic phosphorus was accurately simulated (p<0.05) while nitrogen and carbon pools were occasionally over or underestimated. Model limitations regarding sediment variables are most likely related to the effects of benthic primary producers and macrofauna activity in earth ponds biogeochemistry. Upcoming applications of the model developed herein include its coupling to a fish Dynamic Energy Budget model to be used as a predictive tool for fishpond management. Nevertheless, the model may also be applied to other aquatic systems such as coastal systems or wastewater treatment ponds.

Suggested Citation

  • Serpa, Dalila & Ferreira, Pedro Pousão & Caetano, Miguel & da Fonseca, Luís Cancela & Dinis, Maria Teresa & Duarte, Pedro, 2012. "Modelling of biogeochemical processes in fish earth ponds: Model development and calibration," Ecological Modelling, Elsevier, vol. 247(C), pages 286-301.
    • Handle: RePEc:eee:ecomod:v:247:y:2012:i:c:p:286-301
    DOI: 10.1016/j.ecolmodel.2012.08.021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380012004322
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2012.08.021?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. 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.
    2. Peng, Jian-Feng & Wang, Bao-Zhen & Song, Yong-Hui & Yuan, Peng, 2007. "Modeling N transformation and removal in a duckweed pond: Model development and calibration," Ecological Modelling, Elsevier, vol. 206(1), pages 147-152.
    3. Piedecausa, M.A. & Aguado-Giménez, F. & Cerezo-Valverde, J. & Hernández-Llorente, M.D. & García-García, B., 2010. "Simulating the temporal pattern of waste production in farmed gilthead seabream (Sparus aurata), European seabass (Dicentrarchus labrax) and Atlantic bluefin tuna (Thunnus thynnus)," Ecological Modelling, Elsevier, vol. 221(4), pages 634-640.
    Full references (including those not matched with items on IDEAS)

    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. Liu, Yang & Chen, Xiaoyi & Wang, Xinhui & Fang, Yang & Zhang, Yin & Huang, Mengjun & Zhao, Hai, 2019. "The influence of different plant hormones on biomass and starch accumulation of duckweed: A renewable feedstock for bioethanol production," Renewable Energy, Elsevier, vol. 138(C), pages 659-665.
    2. Małgorzata Krzywonos & Zdzisława Romanowska-Duda & Przemysław Seruga & Beata Messyasz & Stanisław Mec, 2023. "The Use of Plants from the Lemnaceae Family for Biofuel Production—A Bibliometric and In-Depth Content Analysis," Energies, MDPI, vol. 16(4), pages 1-24, February.
    3. Peng, Jian-feng & Wang, Bao-zhen & Song, Yong-hui & Yuan, Peng, 2007. "Modeling N transformation and removal in a duckweed pond: Model application," Ecological Modelling, Elsevier, vol. 206(3), pages 294-300.
    4. 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).
    5. Jørgensen, Sven Erik, 2010. "A review of recent developments in lake modelling," Ecological Modelling, Elsevier, vol. 221(4), pages 689-692.
    6. Tsagaraki, Tatiana M. & Petihakis, George & Tsiaras, Kostas & Triantafyllou, George & Tsapakis, Manolis & Korres, Gerasimos & Kakagiannis, George & Frangoulis, Constantin & Karakassis, Ioannis, 2011. "Beyond the cage: Ecosystem modelling for impact evaluation in aquaculture," Ecological Modelling, Elsevier, vol. 222(14), pages 2512-2523.
    7. Benjamín García García & Caridad Rosique Jiménez & Felipe Aguado-Giménez & José García García, 2016. "Life Cycle Assessment of Gilthead Seabream ( Sparus aurata ) Production in Offshore Fish Farms," Sustainability, MDPI, vol. 8(12), pages 1-19, November.
    8. Benjamín García García & Caridad Rosique Jiménez & Felipe Aguado-Giménez & José García García, 2019. "Life Cycle Assessment of Seabass ( Dicentrarchus labrax ) Produced in Offshore Fish Farms: Variability and Multiple Regression Analysis," Sustainability, MDPI, vol. 11(13), pages 1-21, June.
    9. Sah, Leena & Rousseau, Diederik P.L. & Hooijmans, Christine M. & Lens, Piet N.L., 2011. "3D model for a secondary facultative pond," Ecological Modelling, Elsevier, vol. 222(9), pages 1592-1603.

    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:247:y:2012:i:c:p:286-301. 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.