IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v269y2013icp21-36.html
   My bibliography  Save this article

Individual-based model of the phenology of egg-bearing copepods: Application to Eurytemora affinis from the Seine estuary, France

Author

Listed:
  • Dur, Gaël
  • Jiménez-Melero, Raquel
  • Beyrend-Dur, Delphine
  • Hwang, Jiang-Shiou
  • Souissi, Sami

Abstract

This study presents a non-spatial and temperature-dependent population model to better understand the population dynamics of the copepod Eurytemora affinis in the Seine estuary. The proposed individual-based model (IBM) allows each life-stage, or group of stages, to be represented and considers the differences in development rates and mortality caused by temperature and predation. The biological functions of the model were selected and calibrated to ensure realistic development at the temperatures recorded in the Seine estuary. The effect of temperature on development time and clutch size (CS) were obtained indirectly by fitting equations to the durations of stages observed in the laboratory at various temperatures and to CSs observed in the field. The degree-day approach was used to consider temperature variations. Mortality from predation was parameterized using the observed abundance of key predators. The proposed model successfully reproduces the life-history timing of the E. affinis population observed in the Seine estuary. The IBM approach was also used to simulate the development of the E. affinis population over several years at various temperatures with unlimited food conditions and no density dependence. The results confirm that the proposed model captures the role of temperature and predation in driving the seasonal population dynamics of E. affinis in the Seine estuary. This tool could be applied to any other egg-bearing copepods or could be used to test various E. affinis development scenarios in estuaries. This study also provides examples showing increasing temperatures and predation pressure shifts.

Suggested Citation

  • Dur, Gaël & Jiménez-Melero, Raquel & Beyrend-Dur, Delphine & Hwang, Jiang-Shiou & Souissi, Sami, 2013. "Individual-based model of the phenology of egg-bearing copepods: Application to Eurytemora affinis from the Seine estuary, France," Ecological Modelling, Elsevier, vol. 269(C), pages 21-36.
  • Handle: RePEc:eee:ecomod:v:269:y:2013:i:c:p:21-36
    DOI: 10.1016/j.ecolmodel.2013.08.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380013003992
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2013.08.006?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. M. D. Ohman & H.-J. Hirche, 2001. "Density-dependent mortality in an oceanic copepod population," Nature, Nature, vol. 412(6847), pages 638-641, August.
    2. Beaudouin, Rémy & Monod, Gilles & Ginot, Vincent, 2008. "Selecting parameters for calibration via sensitivity analysis: An individual-based model of mosquitofish population dynamics," Ecological Modelling, Elsevier, vol. 218(1), pages 29-48.
    3. Dur, Gael & Souissi, Sami & Devreker, David & Ginot, Vincent & Schmitt, François G. & Hwang, Jiang-Shiou, 2009. "An individual-based model to study the reproduction of egg bearing copepods: Application to Eurytemora affinis (Copepoda Calanoida) from the Seine estuary, France," Ecological Modelling, Elsevier, vol. 220(8), pages 1073-1089.
    4. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
    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. Takahashi, Amane & Ban, Syuhei & Papa, Rey Donne S. & Tordesillas, Dino T. & Dur, Gaël, 2023. "Cumulative reproduction model to quantify the production of the invasive species Arctodiaptomus dorsalis (Calanoida, Copepoda)," Ecological Modelling, Elsevier, vol. 482(C).
    2. Dur, Gaël & Won, Eun-Ji & Han, Jeonghoon & Lee, Jae-Seong & Souissi, Sami, 2021. "An individual-based model for evaluating post-exposure effects of UV-B radiation on zooplankton reproduction," Ecological Modelling, Elsevier, vol. 441(C).

    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. David, Viviane & Joachim, Sandrine & Tebby, Cleo & Porcher, Jean-Marc & Beaudouin, Rémy, 2019. "Modelling population dynamics in mesocosms using an individual-based model coupled to a bioenergetics model," Ecological Modelling, Elsevier, vol. 398(C), pages 55-66.
    2. Dur, Gaël & Won, Eun-Ji & Han, Jeonghoon & Lee, Jae-Seong & Souissi, Sami, 2021. "An individual-based model for evaluating post-exposure effects of UV-B radiation on zooplankton reproduction," Ecological Modelling, Elsevier, vol. 441(C).
    3. Haythorne, Sean & Skabar, Andrew, 2013. "An improved pattern-guided evolution approach for the development of adaptive individual-based ecological models," Ecological Modelling, Elsevier, vol. 252(C), pages 72-82.
    4. Halsey, Samniqueka J. & Miller, James R., 2018. "A spatial agent-based model of the disease vector Ixodes scapularis to explore host-tick associations," Ecological Modelling, Elsevier, vol. 387(C), pages 96-106.
    5. Smajgl, Alex & House, Alan P.N. & Butler, James R.A., 2011. "Implications of ecological data constraints for integrated policy and livelihoods modelling: An example from East Kalimantan, Indonesia," Ecological Modelling, Elsevier, vol. 222(3), pages 888-896.
    6. Portell, Xavier & Gras, Anna & Ginovart, Marta, 2014. "INDISIM-Saccha, an individual-based model to tackle Saccharomyces cerevisiae fermentations," Ecological Modelling, Elsevier, vol. 279(C), pages 12-23.
    7. Tardy, Olivia & Lenglos, Christophe & Lai, Sandra & Berteaux, Dominique & Leighton, Patrick A., 2023. "Rabies transmission in the Arctic: An agent-based model reveals the effects of broad-scale movement strategies on contact risk between Arctic foxes," Ecological Modelling, Elsevier, vol. 476(C).
    8. Vimercati, Giovanni & Hui, Cang & Davies, Sarah J. & Measey, G. John, 2017. "Integrating age structured and landscape resistance models to disentangle invasion dynamics of a pond-breeding anuran," Ecological Modelling, Elsevier, vol. 356(C), pages 104-116.
    9. Jagadish, Arundhati & Dwivedi, Puneet & McEntire, Kira D. & Chandar, Mamta, 2019. "Agent-based modeling of “cleaner” cookstove adoption and woodfuel use: An integrative empirical approach," Forest Policy and Economics, Elsevier, vol. 106(C), pages 1-1.
    10. Hinker, Jonas & Hemkendreis, Christian & Drewing, Emily & März, Steven & Hidalgo Rodríguez, Diego I. & Myrzik, Johanna M.A., 2017. "A novel conceptual model facilitating the derivation of agent-based models for analyzing socio-technical optimality gaps in the energy domain," Energy, Elsevier, vol. 137(C), pages 1219-1230.
    11. Tianran Ding & Wouter Achten, 2023. "Coupling agent-based modeling with territorial LCA to support agricultural land-use planning," ULB Institutional Repository 2013/359527, ULB -- Universite Libre de Bruxelles.
    12. Jascha-Alexander Koch & Jens Lausen & Moritz Kohlhase, 2021. "Internalizing the externalities of overfunding: an agent-based model approach for analyzing the market dynamics on crowdfunding platforms," Journal of Business Economics, Springer, vol. 91(9), pages 1387-1430, November.
    13. Crevier, Lucas Phillip & Salkeld, Joseph H & Marley, Jessa & Parrott, Lael, 2021. "Making the best possible choice: Using agent-based modelling to inform wildlife management in small communities," Ecological Modelling, Elsevier, vol. 446(C).
    14. Ulfia A. Lenfers & Julius Weyl & Thomas Clemen, 2018. "Firewood Collection in South Africa: Adaptive Behavior in Social-Ecological Models," Land, MDPI, vol. 7(3), pages 1-17, August.
    15. 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.
    16. Moritz Kersting & Andreas Bossert & Leif Sörensen & Benjamin Wacker & Jan Chr. Schlüter, 2021. "Predicting effectiveness of countermeasures during the COVID-19 outbreak in South Africa using agent-based simulation," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-15, December.
    17. Meli, Mattia & Auclerc, Apolline & Palmqvist, Annemette & Forbes, Valery E. & Grimm, Volker, 2013. "Population-level consequences of spatially heterogeneous exposure to heavy metals in soil: An individual-based model of springtails," Ecological Modelling, Elsevier, vol. 250(C), pages 338-351.
    18. Groeneveld, Jürgen & Johst, Karin & Kawaguchi, So & Meyer, Bettina & Teschke, Mathias & Grimm, Volker, 2015. "How biological clocks and changing environmental conditions determine local population growth and species distribution in Antarctic krill (Euphausia superba): a conceptual model," Ecological Modelling, Elsevier, vol. 303(C), pages 78-86.
    19. Henzler, Julia & Weise, Hanna & Enright, Neal J. & Zander, Susanne & Tietjen, Britta, 2018. "A squeeze in the suitable fire interval: Simulating the persistence of fire-killed plants in a Mediterranean-type ecosystem under drier conditions," Ecological Modelling, Elsevier, vol. 389(C), pages 41-49.
    20. Kanapaux, William & Kiker, Gregory A., 2013. "Development and testing of an object-oriented model for adaptively managing human disturbance of least tern (Sternula antillarum) nesting habitat," Ecological Modelling, Elsevier, vol. 268(C), pages 64-77.

    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:269:y:2013:i:c:p:21-36. 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.