A simulation study on how the resource competition and anti-predator cooperation impact the motile-phytoplankton groups’ formation under predation stress
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DOI: 10.1016/j.ecolmodel.2018.10.019
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- William W Driscoll & Michael Travisano, 2017. "Synergistic cooperation promotes multicellular performance and unicellular free-rider persistence," Nature Communications, Nature, vol. 8(1), pages 1-10, August.
- William M. Durham & Eric Climent & Michael Barry & Filippo De Lillo & Guido Boffetta & Massimo Cencini & Roman Stocker, 2013. "Turbulence drives microscale patches of motile phytoplankton," Nature Communications, Nature, vol. 4(1), pages 1-7, October.
- 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.
- William C. Ratcliff & Matthew D. Herron & Kathryn Howell & Jennifer T. Pentz & Frank Rosenzweig & Michael Travisano, 2013. "Experimental evolution of an alternating uni- and multicellular life cycle in Chlamydomonas reinhardtii," Nature Communications, Nature, vol. 4(1), pages 1-7, December.
- El Saadi, N. & Bah, A., 2007. "An individual-based model for studying the aggregation behavior in phytoplankton," Ecological Modelling, Elsevier, vol. 204(1), pages 193-212.
- Hellweger, Ferdi L. & Bucci, Vanni, 2009. "A bunch of tiny individuals—Individual-based modeling for microbes," Ecological Modelling, Elsevier, vol. 220(1), pages 8-22.
- Jef Huisman & Nga N. Pham Thi & David M. Karl & Ben Sommeijer, 2006. "Reduced mixing generates oscillations and chaos in the oceanic deep chlorophyll maximum," Nature, Nature, vol. 439(7074), pages 322-325, January.
- Fritsch, Coralie & Harmand, Jérôme & Campillo, Fabien, 2015. "A modeling approach of the chemostat," Ecological Modelling, Elsevier, vol. 299(C), pages 1-13.
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- Bordj, Naziha & Saadi, Nadjia El, 2022. "Moment approximation of individual-based models. Application to the study of the spatial dynamics of phytoplankton populations," Applied Mathematics and Computation, Elsevier, vol. 412(C).
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Keywords
Individual-based model; Predator-induced aggregation; Chemosensory ability; Density-dependent birth–death process; Resource competition; Anti-predation cooperation;All these keywords.
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