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Plankton energy flows using a global size-structured and trait-based model

View ORCID ProfileGabriela Negrete-García, View ORCID ProfileJessica Y. Luo, View ORCID ProfileMatthew C. Long, View ORCID ProfileKeith Lindsay, View ORCID ProfileMichael Levy, Andrew D. Barton
doi: https://doi.org/10.1101/2022.02.01.478546
Gabriela Negrete-García
aScripps Institute of Oceanography, University of California San Diego, La Jolla, CA
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  • ORCID record for Gabriela Negrete-García
  • For correspondence: g1negret@ucsd.edu
Jessica Y. Luo
bClimate & Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO
cGeophysical Fluid Dynamics Laboratory, National Oceanic and Atmospheric Administration, Princeton NJ
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Matthew C. Long
bClimate & Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO
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  • ORCID record for Matthew C. Long
Keith Lindsay
bClimate & Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO
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Michael Levy
bClimate & Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO
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Andrew D. Barton
aScripps Institute of Oceanography, University of California San Diego, La Jolla, CA
dSection of Ecology, Behavior and Evolution, University of California, San Diego, CA, USA
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Abstract

Plankton community models are critical tools for understanding the processes that shape marine plankton communities, how plankton communities impact biogeochemical cycles, and the feedbacks between community structure and function. Here, using the flexible Marine Biogeochemistry Library (MARBL), we present the Size-based Plankton Ecological TRAits (MARBL-SPECTRA) model, which is designed to represent a diverse plankton community while remaining computationally tractable. MARBL-SPECTRA is composed of nine phytoplankton and six zooplankton size classes represented using allometric scaling relationships for physiological traits and interactions within multiple functional types. MARBL-SPECTRA is embedded within the global ocean component of the Community Earth System Model (CESM) and simulates large-scale, emergent patterns in phytoplankton growth limitation, plankton phenology, plankton generation time, and trophic transfer efficiency. The model qualitatively reproduces observed global patterns of surface nutrients, chlorophyll biomass, net primary production, and the biogeographies of a range of plankton size classes. In addition, the model simulates how predator:prey dynamics and trophic efficiency vary across gradients in total ecosystem productivity. Shorter food chains that export proportionally more carbon from the surface to the ocean interior occur in productive regions, whereas in oligotrophic regions, the food chains are relatively long and export less organic matter from the surface. The union of functional type modelling with size-resolved, trait-based modelling approaches allows MARBL-SPECTRA to capture both large-scale elemental cycles and the structure of planktonic food webs affecting trophic transfer efficiency.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Email addresses: jessica.luo{at}noaa.gov (Jessica Y. Luo)

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted February 01, 2022.
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Plankton energy flows using a global size-structured and trait-based model
Gabriela Negrete-García, Jessica Y. Luo, Matthew C. Long, Keith Lindsay, Michael Levy, Andrew D. Barton
bioRxiv 2022.02.01.478546; doi: https://doi.org/10.1101/2022.02.01.478546
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Plankton energy flows using a global size-structured and trait-based model
Gabriela Negrete-García, Jessica Y. Luo, Matthew C. Long, Keith Lindsay, Michael Levy, Andrew D. Barton
bioRxiv 2022.02.01.478546; doi: https://doi.org/10.1101/2022.02.01.478546

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