IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v250y2013icp269-278.html
   My bibliography  Save this article

Ecological and social modeling for migration and adhesion pattern of a benthic diatom

Author

Listed:
  • Cao, Shan
  • Wang, Jiadao
  • Li, Dangguo
  • Chen, Darong

Abstract

A biofilm is an aggregation of microorganisms that involves the adhesion of cells to each other on a surface. Because of their ecological advantages and disadvantages, it is important to understand the rules that govern the formation and evolution of diatom biofilms. In this paper, the cell migration of the benthic diatom Navicula sp. was quantitatively investigated, and the results show that the cumulative migration angles and step lengths can be fitted with a normal distribution and an exponential distribution, respectively. These statistical parameters were used to simulate the adhesion pattern of the diatoms in the NetLogo platform to better understand the cellular interactions and formation of the diatom biofilm. Variance-to-mean ratio (VMR) was used as an index of dispersion, and an analysis of the significance in the differences of VMR between the in vitro measurements and the simulated results was conducted. By comparing the simulation results and observed experiments, the parameters characterizing cellular interactions were adjusted. As a conclusion, the clustered pattern shown in the in vitro experiments is verified to be caused by both the cellular interactions and the cell reproduction.

Suggested Citation

  • Cao, Shan & Wang, Jiadao & Li, Dangguo & Chen, Darong, 2013. "Ecological and social modeling for migration and adhesion pattern of a benthic diatom," Ecological Modelling, Elsevier, vol. 250(C), pages 269-278.
    • Handle: RePEc:eee:ecomod:v:250:y:2013:i:c:p:269-278
    DOI: 10.1016/j.ecolmodel.2012.11.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380012005546
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2012.11.016?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. Railsback, Steven F. & Johnson, Matthew D., 2011. "Pattern-oriented modeling of bird foraging and pest control in coffee farms," Ecological Modelling, Elsevier, vol. 222(18), pages 3305-3319.
    2. David A. Hutchins & Amy E. Witter & Alison Butler & George W. Luther, 1999. "Competition among marine phytoplankton for different chelated iron species," Nature, Nature, vol. 400(6747), pages 858-861, August.
    3. Laurent Golé & Charlotte Rivière & Yoshinori Hayakawa & Jean-Paul Rieu, 2011. "A Quorum-Sensing Factor in Vegetative Dictyostelium Discoideum Cells Revealed by Quantitative Migration Analysis," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-9, November.
    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. Serôdio, João & Bastos, Alexandra & Morelle, Jérôme & Frankenbach, Silja, 2023. "Light niche construction: Motility of sediment-inhabiting diatoms determines the experienced light environment," Ecological Modelling, Elsevier, vol. 481(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. 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.
    2. Ascensão, Fernando & Clevenger, Anthony & Santos-Reis, Margarida & Urbano, Paulo & Jackson, Nathan, 2013. "Wildlife–vehicle collision mitigation: Is partial fencing the answer? An agent-based model approach," Ecological Modelling, Elsevier, vol. 257(C), pages 36-43.
    3. Sánchez-Clavijo, Lina M. & Hearns, Jessica & Quintana-Ascencio, Pedro F., 2016. "Modeling the effect of habitat selection mechanisms on population responses to landscape structure," Ecological Modelling, Elsevier, vol. 328(C), pages 99-107.
    4. Radchuk, Viktoriia & Johst, Karin & Groeneveld, Jürgen & Grimm, Volker & Schtickzelle, Nicolas, 2013. "Behind the scenes of population viability modeling: Predicting butterfly metapopulation dynamics under climate change," Ecological Modelling, Elsevier, vol. 259(C), pages 62-73.
    5. McLane, Adam J. & Semeniuk, Christina & McDermid, Gregory J. & Tomback, Diana F. & Lorenz, Teresa & Marceau, Danielle, 2017. "Energetic behavioural-strategy prioritization of Clark’s nutcrackers in whitebark pine communities: An agent-based modeling approach," Ecological Modelling, Elsevier, vol. 354(C), pages 123-139.
    6. 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).
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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).
    13. 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.
    14. 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.
    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. Fenintsoa Andriamasinoro & Raphael Danino-Perraud, 2021. "Use of artificial intelligence to assess mineral substance criticality in the French market: the example of cobalt," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 34(1), pages 19-37, April.

    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:250:y:2013:i:c:p:269-278. 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.