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Diel light cycle as a key factor for modelling phytoplankton biogeography and diversity

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  • Tsakalakis, Ioannis
  • Pahlow, Markus
  • Oschlies, Andreas
  • Blasius, Bernd
  • Ryabov, Alexey B.

Abstract

Understanding the mechanisms driving species biogeography and biodiversity remains a major challenge in phytoplankton ecology. Using a model of two phytoplankton species with a gleaner-opportunist trade-off and competing for light and a limiting nutrient, we show that the diel light cycle may be an essential factor to explain large-scale ecological patterns. When only the seasonal light cycle is considered (control scenario) the model predicts that, independently of the nutrient supply, gleaners should dominate across all latitudes and opportunists can obtain a temporal niche only at high latitudes. However, the diel light cycle makes the competition outcome also a function of nutrient supply by affecting the amplitude of diel nutrient oscillations, with gleaners dominating when nutrient supply is low, opportunists when nutrient supply is high, and both species coexisting at intermediate levels of nutrient supply. The combined effects of seasonal and diel light cycles (diel scenario) shape a latitudinal diversity gradient with decreasing diversity towards higher latitudes and a unimodal dependence of diversity on nutrient supply and, therefore, on ecosystem productivity. The proposed mechanism can help interpret the biogeography of major phytoplankton functional groups in the global ocean and link them with large-scale biodiversity patterns.

Suggested Citation

  • Tsakalakis, Ioannis & Pahlow, Markus & Oschlies, Andreas & Blasius, Bernd & Ryabov, Alexey B., 2018. "Diel light cycle as a key factor for modelling phytoplankton biogeography and diversity," Ecological Modelling, Elsevier, vol. 384(C), pages 241-248.
  • Handle: RePEc:eee:ecomod:v:384:y:2018:i:c:p:241-248
    DOI: 10.1016/j.ecolmodel.2018.06.022
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    1. Brewin, Robert J.W. & Sathyendranath, Shubha & Hirata, Takafumi & Lavender, Samantha J. & Barciela, Rosa M. & Hardman-Mountford, Nick J., 2010. "A three-component model of phytoplankton size class for the Atlantic Ocean," Ecological Modelling, Elsevier, vol. 221(11), pages 1472-1483.
    2. S. M. Vallina & M. J. Follows & S. Dutkiewicz & J. M. Montoya & P. Cermeno & M. Loreau, 2014. "Global relationship between phytoplankton diversity and productivity in the ocean," Nature Communications, Nature, vol. 5(1), pages 1-10, September.
    3. Prowe, A.E. Friederike & Pahlow, Markus & Oschlies, Andreas, 2012. "Controls on the diversity–productivity relationship in a marine ecosystem model," Ecological Modelling, Elsevier, vol. 225(C), pages 167-176.
    4. Xabier Irigoien & Jef Huisman & Roger P. Harris, 2004. "Global biodiversity patterns of marine phytoplankton and zooplankton," Nature, Nature, vol. 429(6994), pages 863-867, June.
    5. Christopher A. Klausmeier & Elena Litchman & Tanguy Daufresne & Simon A. Levin, 2004. "Optimal nitrogen-to-phosphorus stoichiometry of phytoplankton," Nature, Nature, vol. 429(6988), pages 171-174, May.
    6. Kevin R. Arrigo, 2005. "Marine microorganisms and global nutrient cycles," Nature, Nature, vol. 437(7057), pages 349-355, September.
    7. Maayke Stomp & Jef Huisman & Floris de Jongh & Annelies J. Veraart & Daan Gerla & Machteld Rijkeboer & Bas W. Ibelings & Ute I. A. Wollenzien & Lucas J. Stal, 2004. "Adaptive divergence in pigment composition promotes phytoplankton biodiversity," Nature, Nature, vol. 432(7013), pages 104-107, November.
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