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A simple plankton model for the Oregon upwelling ecosystem: Sensitivity and validation against time-series ocean data

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  • Ruzicka, James J.
  • Wainwright, Thomas C.
  • Peterson, William T.

Abstract

Simple plankton models serve as useful platforms for testing our understanding of the mechanisms underlying ecosystem dynamics. A simple, one-dimensional plankton model was developed to describe the dynamics of nitrate, ammonium, two phytoplankton size-classes, meso-zooplankton, and detritus in the Oregon upwelling ecosystem. Computational simplicity was maintained by linking the biological model to a one-dimensional, cross-shelf physical model driven by the daily coastal upwelling index. The model sacrificed resolution of regional-scale and along-shore (north to south) processes and assumed that seasonal productivity is primarily driven by local cross-shelf Ekman transport of surface waters and upwelling of nutrient-rich water from depth.

Suggested Citation

  • Ruzicka, James J. & Wainwright, Thomas C. & Peterson, William T., 2011. "A simple plankton model for the Oregon upwelling ecosystem: Sensitivity and validation against time-series ocean data," Ecological Modelling, Elsevier, vol. 222(6), pages 1222-1235.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:6:p:1222-1235
    DOI: 10.1016/j.ecolmodel.2011.01.001
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    References listed on IDEAS

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    1. 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.
    2. Wainwright, Thomas C. & Feinberg, Leah R. & Hooff, Rian C. & Peterson, William T., 2007. "A comparison of two lower trophic models for the California Current System," Ecological Modelling, Elsevier, vol. 202(1), pages 120-131.
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    Cited by:

    1. Liu, Zhi-bin & Liu, Shu-tang & Tian, Da-dong & Wang, Da, 2021. "Stability analysis of the plankton community with advection," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    2. Ruzicka, James J. & Brink, Kenneth H. & Gifford, Dian J. & Bahr, Frank, 2016. "A physically coupled end-to-end model platform for coastal ecosystems: Simulating the effects of climate change and changing upwelling characteristics on the Northern California Current ecosystem," Ecological Modelling, Elsevier, vol. 331(C), pages 86-99.
    3. Ertürk, Ali & Sakurova, Ilona & Zilius, Mindaugas & Zemlys, Petras & Umgiesser, Georg & Kaynaroglu, Burak & Pilkaitytė, Renata & Razinkovas-Baziukas, Artūras, 2023. "Development of a pelagic biogeochemical model with enhanced computational performance by optimizing ecological complexity and spatial resolution," Ecological Modelling, Elsevier, vol. 486(C).

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