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Controls on the diversity–productivity relationship in a marine ecosystem model

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  • Prowe, A.E. Friederike
  • Pahlow, Markus
  • Oschlies, Andreas

Abstract

Species diversity influences the productivity of ecosystems across habitats, and may influence their susceptibility to environmental changes. More diverse communities are often found to be more productive because selection and complementarity effects allow more efficient use of available resources. However, which principles promote coexistence in pelagic model ecosystems is only beginning to be understood as are controls on the diversity–productivity relationship. Here we show that the diversity–productivity relationship of phytoplankton in a global self-assembling ocean ecosystem model depends on the simulated nutrient supply. Increasing productivity with increasing diversity can be found in regions with high nutrient supply. Using a simple idealized model we show that a more diverse community can be more productive if different phytoplankton types utilize complementary niches, here created by preferential zooplankton grazing, thereby increasing resource use. In our model context, total nutrient supply determines a maximum diversity sustained by the ecosystem. Systems with a low nutrient supply cannot sustain high productivity of more diverse communities and produce a neutral or even negative diversity–productivity relationship. Our model results suggest links between diversity, productivity and export production in marine pelagic ecosystems, with the potential for feedbacks of diversity on productivity in response to expected future environmental changes.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ecomod:v:225:y:2012:i:c:p:167-176
    DOI: 10.1016/j.ecolmodel.2011.11.018
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    References listed on IDEAS

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    1. Dominique Gravel & Thomas Bell & Claire Barbera & Thierry Bouvier & Thomas Pommier & Patrick Venail & Nicolas Mouquet, 2011. "Experimental niche evolution alters the strength of the diversity–productivity relationship," Nature, Nature, vol. 469(7328), pages 89-92, January.
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    3. Michael J. Behrenfeld & Robert T. O’Malley & David A. Siegel & Charles R. McClain & Jorge L. Sarmiento & Gene C. Feldman & Allen J. Milligan & Paul G. Falkowski & Ricardo M. Letelier & Emmanuel S. Bos, 2006. "Climate-driven trends in contemporary ocean productivity," Nature, Nature, vol. 444(7120), pages 752-755, December.
    4. Bradley J. Cardinale, 2011. "Biodiversity improves water quality through niche partitioning," Nature, Nature, vol. 472(7341), pages 86-89, April.
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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. Su, Bei & Pahlow, Markus & Prowe, A. E. Friederike, 2018. "The role of microzooplankton trophic interactions in modelling a suite of mesocosm ecosystems," Ecological Modelling, Elsevier, vol. 368(C), pages 169-179.
    3. Castellani, Marco & Rosland, Rune & Urtizberea, Agurtzane & Fiksen, Øyvind, 2013. "A mass-balanced pelagic ecosystem model with size-structured behaviourally adaptive zooplankton and fish," Ecological Modelling, Elsevier, vol. 251(C), pages 54-63.

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