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Global relationship between phytoplankton diversity and productivity in the ocean

Author

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  • S. M. Vallina

    (Earth, Atmospheric and Planetary Sciences, MIT
    Institute of Marine Sciences, CSIC)

  • M. J. Follows

    (Earth, Atmospheric and Planetary Sciences, MIT)

  • S. Dutkiewicz

    (Earth, Atmospheric and Planetary Sciences, MIT)

  • J. M. Montoya

    (Institute of Marine Sciences, CSIC)

  • P. Cermeno

    (Institute of Marine Sciences, CSIC)

  • M. Loreau

    (Station d’Ecologie Expérimentale, CNRS)

Abstract

The shape of the productivity–diversity relationship (PDR) for marine phytoplankton has been suggested to be unimodal, that is, diversity peaking at intermediate levels of productivity. However, there are few observations and there has been little attempt to understand the mechanisms that would lead to such a shape for planktonic organisms. Here we use a marine ecosystem model together with the community assembly theory to explain the shape of the unimodal PDR we obtain at the global scale. The positive slope from low to intermediate productivity is due to grazer control with selective feeding, which leads to the predator-mediated coexistence of prey. The negative slope at high productivity is due to seasonal blooms of opportunist species that occur before they are regulated by grazers. The negative side is only unveiled when the temporal scale of the observation captures the transient dynamics, which are especially relevant at highly seasonal latitudes. Thus selective predation explains the positive side while transient competitive exclusion explains the negative side of the unimodal PDR curve. The phytoplankton community composition of the positive and negative sides is mostly dominated by slow-growing nutrient specialists and fast-growing nutrient opportunist species, respectively.

Suggested Citation

  • 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.
  • Handle: RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms5299
    DOI: 10.1038/ncomms5299
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    Cited by:

    1. 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.
    2. Joseph George Ray & Prasanthkumar Santhakumaran & Santhoshkumar Kookal, 2021. "Phytoplankton communities of eutrophic freshwater bodies (Kerala, India) in relation to the physicochemical water quality parameters," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 259-290, January.
    3. Mortoja, Sk Golam & Panja, Prabir & Paul, Ayan & Bhattacharya, Sabyasachi & Mondal, Shyamal Kumar, 2020. "Is the intermediate predator a key regulator of a tri-trophic food chain model?: An illustration through a new functional response," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    4. Chase C. James & Andrew D. Barton & Lisa Zeigler Allen & Robert H. Lampe & Ariel Rabines & Anne Schulberg & Hong Zheng & Ralf Goericke & Kelly D. Goodwin & Andrew E. Allen, 2022. "Influence of nutrient supply on plankton microbiome biodiversity and distribution in a coastal upwelling region," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    5. Moscoso, Jordyn E. & Bianchi, Daniele & Stewart, Andrew L., 2022. "Controls and characteristics of biomass quantization in size-structured planktonic ecosystem models," Ecological Modelling, Elsevier, vol. 468(C).
    6. Vallina, S.M. & Cermeno, P. & Dutkiewicz, S. & Loreau, M. & Montoya, J.M., 2017. "Phytoplankton functional diversity increases ecosystem productivity and stability," Ecological Modelling, Elsevier, vol. 361(C), pages 184-196.

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