IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v264y2013icp37-47.html
   My bibliography  Save this article

Modeled phytoplankton diversity and productivity in the California Current System

Author

Listed:
  • Goebel, N.L.
  • Edwards, C.A.
  • Zehr, J.P.
  • Follows, M.J.
  • Morgan, S.G.

Abstract

We explore the phytoplankton community structure and the relationship between phytoplankton diversity and productivity produced by a self-emergent ecosystem model that represents a large number of phytoplankton type and is coupled to a circulation model of the California Current System. Biomass of each modeled phytoplankton type, when averaged over the uppermost model level and for 5-years, spans 7 orders of magnitude; 13 phytoplankton types contribute to the top 99.9% of community biomass, defining modeled species richness. Instantaneously, modeled species richness ranges between 1 and 17 while the Shannon index reaches values of 2.3. Diversity versus primary productivity shows large scatter with low species richness at both high and low productivity levels and a wide range of values including the maximum at intermediate productivities. Highest productivity and low diversity is found in the nearshore upwelling region dominated by fast growing diatoms; lowest productivity and low diversity occurs in deep, light-limited regions; and intermediate productivity and high diversity characterize offshore, oligotrophic surface waters. Locally averaged diversity and productivity covary in time with the sign of correlation dependent on geographic region as representing portions of the diversity-productivity scatter.

Suggested Citation

  • Goebel, N.L. & Edwards, C.A. & Zehr, J.P. & Follows, M.J. & Morgan, S.G., 2013. "Modeled phytoplankton diversity and productivity in the California Current System," Ecological Modelling, Elsevier, vol. 264(C), pages 37-47.
    • Handle: RePEc:eee:ecomod:v:264:y:2013:i:c:p:37-47
    DOI: 10.1016/j.ecolmodel.2012.11.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380012005455
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2012.11.008?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. Kishi, Michio J. & Kashiwai, Makoto & Ware, Daniel M. & Megrey, Bernard A. & Eslinger, David L. & Werner, Francisco E. & Noguchi-Aita, Maki & Azumaya, Tomonori & Fujii, Masahiko & Hashimoto, Shinji & , 2007. "NEMURO—a lower trophic level model for the North Pacific marine ecosystem," Ecological Modelling, Elsevier, vol. 202(1), pages 12-25.
    2. Ng, Yew-Kwang, 1980. "Macroeconomics with Non-Perfect Competition," Economic Journal, Royal Economic Society, vol. 90(3593), pages 598-610, September.
    3. 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.
    4. Martin Edwards & Anthony J. Richardson, 2004. "Impact of climate change on marine pelagic phenology and trophic mismatch," Nature, Nature, vol. 430(7002), pages 881-884, August.
    Full references (including those not matched with items on IDEAS)

    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. 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).
    2. Mukai, Daiki & Kishi, Michio J. & Ito, Shin-ichi & Kurita, Yutaka, 2007. "The importance of spawning season on the growth of Pacific saury: A model-based study using NEMURO.FISH," Ecological Modelling, Elsevier, vol. 202(1), pages 165-173.
    3. Hongsheng Bi & Rubao Ji & Hui Liu & Young-Heon Jo & Jonathan A Hare, 2014. "Decadal Changes in Zooplankton of the Northeast U.S. Continental Shelf," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-12, January.
    4. Richard Holt & J. Barkley Rosser & David Colander, 2011. "The Complexity Era in Economics," Review of Political Economy, Taylor & Francis Journals, vol. 23(3), pages 357-369.
    5. Terui, Takeshi & Kishi, Michio J., 2008. "Population dynamics model of Copepoda (Neocalanus cristatus) in the northwestern subarctic Pacific," Ecological Modelling, Elsevier, vol. 215(1), pages 77-88.
    6. 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.
    7. 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.
    8. Barbara Annicchiarico & Alessandra Pelloni, 2014. "Productivity growth and volatility: how important are wage and price rigidities?," Oxford Economic Papers, Oxford University Press, vol. 66(1), pages 306-324, January.
    9. Liqiang Yang & Xiaotong He & Shaoguo Ru & Yongyu Zhang, 2024. "Herbicide leakage into seawater impacts primary productivity and zooplankton globally," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    10. Fujii, Masahiko & Yamanaka, Yasuhiro & Nojiri, Yukihiro & Kishi, Michio J. & Chai, Fei, 2007. "Comparison of seasonal characteristics in biogeochemistry among the subarctic North Pacific stations described with a NEMURO-based marine ecosystem model," Ecological Modelling, Elsevier, vol. 202(1), pages 52-67.
    11. Ratté-Fortin, Claudie & Plante, Jean-François & Rousseau, Alain N. & Chokmani, Karem, 2023. "Parametric versus nonparametric machine learning modelling for conditional density estimation of natural events: Application to harmful algal blooms," Ecological Modelling, Elsevier, vol. 482(C).
    12. Whitehouse, George A. & Aydin, Kerim Y., 2020. "Assessing the sensitivity of three Alaska marine food webs to perturbations: an example of Ecosim simulations using Rpath," Ecological Modelling, Elsevier, vol. 429(C).
    13. Gretta Pecl & Tim Ward & Zoë Doubleday & Steven Clarke & Jemery Day & Cameron Dixon & Stewart Frusher & Philip Gibbs & Alistair Hobday & Neil Hutchinson & Sarah Jennings & Keith Jones & Xiaoxu Li & Da, 2014. "Rapid assessment of fisheries species sensitivity to climate change," Climatic Change, Springer, vol. 127(3), pages 505-520, December.
    14. Rui Xia & Yuan Zhang & Andrea Critto & Jieyun Wu & Juntao Fan & Zhirong Zheng & Yizhang Zhang, 2016. "The Potential Impacts of Climate Change Factors on Freshwater Eutrophication: Implications for Research and Countermeasures of Water Management in China," Sustainability, MDPI, vol. 8(3), pages 1-17, March.
    15. 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.
    16. Shi, He-ling, 1992. "Continuum of Equilibria and Business Cycles: A Dynamic Model of Mesoeconomics," American Economic Review, American Economic Association, vol. 82(2), pages 372-378, May.
    17. Xing, Lei & Zhang, Chongliang & Chen, Yong & Shin, Yunne-Jai & Verley, Philippe & Yu, Haiqing & Ren, Yiping, 2017. "An individual-based model for simulating the ecosystem dynamics of Jiaozhou Bay, China," Ecological Modelling, Elsevier, vol. 360(C), pages 120-131.
    18. Yin, Xriangkang, 1997. "A micro-macroeconomic analysis of the Chinese economy with imperfect competition," China Economic Review, Elsevier, vol. 8(1), pages 31-51.
    19. Yoshie, Naoki & Yamanaka, Yasuhiro & Rose, Kenneth A. & Eslinger, David L. & Ware, Daniel M. & Kishi, Michio J., 2007. "Parameter sensitivity study of the NEMURO lower trophic level marine ecosystem model," Ecological Modelling, Elsevier, vol. 202(1), pages 26-37.
    20. Cheung, Kee-Nam, 1998. "Monopolistic Competition, Trading Externality, and the Multiplier," Journal of Macroeconomics, Elsevier, vol. 20(3), pages 615-624, July.

    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:264:y:2013:i:c:p:37-47. 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.