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Modeled phytoplankton diversity and productivity in the California Current System

Author

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  • 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
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    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.
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