IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v225y2012icp19-27.html
   My bibliography  Save this article

Modeling the influence from ocean transport, mixing and grazing on phytoplankton diversity

Author

Listed:
  • Adjou, Mohamed
  • Bendtsen, Jørgen
  • Richardson, Katherine

Abstract

Phytoplankton diversity, whether defined on the basis of functional groups or on the basis of numbers of individual species, is known to be heterogeneous throughout the global ocean. The factors regulating this diversity are generally poorly understood, although access to limiting nutrients and light is known to influence distributions for certain groups of phytoplankton. Here, we develop a simple box model of biomasses and a limiting nutrient to describe the composition of phytoplankton communities in the euphotic zone. In addition to analyzing the relative importance of nutrient availability in generating and maintaining diversity, we apply the model to quantify the potential role of zooplankton grazing and ocean transport for the coexistence of competing species and phytoplankton diversity. We analyze the sensitivity of phytoplankton biomass distributions to different types of grazing functional responses and show that preferential grazing on abundant species, for example as formulated by the Holling type III grazing function, is a key factor for maintaining species’ coexistence. Mixing and large-scale advection are shown to potentially have a significant impact on the distribution of phytoplankton species and, in general, enhance phytoplankton diversity. Based on the model solutions, we argue that ocean transports of phytoplankton cells can have a significant influence on species composition and that even transports at horizontal spatial scales of up to at least 102km and vertical scales of 102m can be expected to be important for sustaining phytoplankton diversity. The model is applied in a multi-species simulation (n=200) and model simulations suggest that global patterns of phytoplankton biodiversity are determined by a few dominating species within each group. This finding is shown to be in accordance with ecological observations.

Suggested Citation

  • Adjou, Mohamed & Bendtsen, Jørgen & Richardson, Katherine, 2012. "Modeling the influence from ocean transport, mixing and grazing on phytoplankton diversity," Ecological Modelling, Elsevier, vol. 225(C), pages 19-27.
  • Handle: RePEc:eee:ecomod:v:225:y:2012:i:c:p:19-27
    DOI: 10.1016/j.ecolmodel.2011.11.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380011005254
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2011.11.005?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. Jef Huisman & Franz J. Weissing, 1999. "Biodiversity of plankton by species oscillations and chaos," Nature, Nature, vol. 402(6760), pages 407-410, November.
    2. 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.
    3. Victor Smetacek, 2001. "A watery arms race," Nature, Nature, vol. 411(6839), pages 745-745, June.
    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. Withrow, Frances G. & Roelke, Daniel L. & Muhl, Rika M.W. & Bhattacharyya, Joydeb, 2018. "Water column processes differentially influence richness and diversity of neutral, lumpy and intransitive phytoplankton assemblages," Ecological Modelling, Elsevier, vol. 370(C), pages 22-32.
    2. 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).
    3. Bhattacharyya, Joydeb & Roelke, Daniel L. & Muhl, Rika M.W. & Withrow, Frances G., 2018. "Exploitative competition of invaders differentially influences the diversity of neutral, lumpy and intransitive phytoplankton assemblages in spatially heterogeneous environments," Ecological Modelling, Elsevier, vol. 370(C), pages 59-66.

    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. Banas, Neil S., 2011. "Adding complex trophic interactions to a size-spectral plankton model: Emergent diversity patterns and limits on predictability," Ecological Modelling, Elsevier, vol. 222(15), pages 2663-2675.
    2. Rashleigh, Brenda & DeAngelis, Donald L., 2007. "Conditions for coexistence of freshwater mussel species via partitioning of fish host resources," Ecological Modelling, Elsevier, vol. 201(2), pages 171-178.
    3. Pavão, D.C. & Elias, R.B. & Silva, L., 2019. "Comparison of discrete and continuum community models: Insights from numerical ecology and Bayesian methods applied to Azorean plant communities," Ecological Modelling, Elsevier, vol. 402(C), pages 93-106.
    4. Sergey Bartsev & Andrey Degermendzhi, 2023. "The Evolutionary Mechanism of Formation of Biosphere Closure," Mathematics, MDPI, vol. 11(14), pages 1-22, July.
    5. Doyeong Ku & Yeon-Ji Chae & Yerim Choi & Chang Woo Ji & Young-Seuk Park & Ihn-Sil Kwak & Yong-Jae Kim & Kwang-Hyeon Chang & Hye-Ji Oh, 2022. "Optimal Method for Biomass Estimation in a Cladoceran Species, Daphnia Magna (Straus, 1820): Evaluating Length–Weight Regression Equations and Deriving Estimation Equations Using Body Length, Width an," Sustainability, MDPI, vol. 14(15), pages 1-10, July.
    6. Marten Scheffer & Remi Vergnon & Egbert H van Nes & Jan G M Cuppen & Edwin T H M Peeters & Remko Leijs & Anders N Nilsson, 2015. "The Evolution of Functionally Redundant Species; Evidence from Beetles," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-10, October.
    7. Anna Y. Alekseeva & Anneloes E. Groenenboom & Eddy J. Smid & Sijmen E. Schoustra, 2021. "Eco-Evolutionary Dynamics in Microbial Communities from Spontaneous Fermented Foods," IJERPH, MDPI, vol. 18(19), pages 1-19, September.
    8. Hairong Lin & Chunhua Wang & Fei Yu & Jingru Sun & Sichun Du & Zekun Deng & Quanli Deng, 2023. "A Review of Chaotic Systems Based on Memristive Hopfield Neural Networks," Mathematics, MDPI, vol. 11(6), pages 1-18, March.
    9. López-Ruiz, Ricardo & Fournier-Prunaret, Danièle, 2009. "Periodic and chaotic events in a discrete model of logistic type for the competitive interaction of two species," Chaos, Solitons & Fractals, Elsevier, vol. 41(1), pages 334-347.
    10. Jean-Éric Tremblay & Dominique Robert & Diana Varela & Connie Lovejoy & Gérald Darnis & R. Nelson & Akash Sastri, 2012. "Current state and trends in Canadian Arctic marine ecosystems: I. Primary production," Climatic Change, Springer, vol. 115(1), pages 161-178, November.
    11. Trobia, José & de Souza, Silvio L.T. & dos Santos, Margarete A. & Szezech, José D. & Batista, Antonio M. & Borges, Rafael R. & Pereira, Leandro da S. & Protachevicz, Paulo R. & Caldas, Iberê L. & Iaro, 2022. "On the dynamical behaviour of a glucose-insulin model," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    12. Mulderij, Gabi & Van Nes, Egbert H. & Van Donk, Ellen, 2007. "Macrophyte–phytoplankton interactions: The relative importance of allelopathy versus other factors," Ecological Modelling, Elsevier, vol. 204(1), pages 85-92.
    13. Sudakov, Ivan & Vakulenko, Sergey A. & Bruun, John T., 2022. "Stochastic physics of species extinctions in a large population," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).
    14. Malay Banerjee & Nayana Mukherjee & Vitaly Volpert, 2018. "Prey-Predator Model with a Nonlocal Bistable Dynamics of Prey," Mathematics, MDPI, vol. 6(3), pages 1-13, March.
    15. Silverman, B. David, 2007. "Modeling the effect of growth rate and survivability trade-offs on species coexistence and spatial topology at a traveling invasive wave-front," Ecological Modelling, Elsevier, vol. 202(3), pages 454-464.
    16. Masuda, Yoshio & Yamanaka, Yasuhiro & Hirata, Takafumi & Nakano, Hideyuki & Kohyama, Takashi S., 2020. "Inhibition of competitive exclusion due to phytoplankton dispersion: a contribution for solving Hutchinson's paradox," Ecological Modelling, Elsevier, vol. 430(C).
    17. Šajna, Nina & Kušar, Primož, 2014. "Modeling species fitness in competitive environments," Ecological Modelling, Elsevier, vol. 275(C), pages 31-36.
    18. Ren, Lujie & Mou, Jun & Banerjee, Santo & Zhang, Yushu, 2023. "A hyperchaotic map with a new discrete memristor model: Design, dynamical analysis, implementation and application," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
    19. S. Kartal & M. Kar & N. Kartal & F. Gurcan, 2016. "Modelling and analysis of a phytoplankton–zooplankton system with continuous and discrete time," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 22(6), pages 539-554, November.
    20. Ranjan, Ravi & Bagchi, Sumanta, 2016. "Functional response and body size in consumer–resource interactions: Unimodality favors facilitation," Theoretical Population Biology, Elsevier, vol. 110(C), pages 25-35.

    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:225:y:2012:i:c:p:19-27. 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.