Simulating Marine Ecosystem Dynamics and Biogeochemical Cycling With Multiple Plankton Functional Types

Yu, Jun; Krumhardt, Kristen M.; Keith Moore, J.; Letscher, Robert T.; Wang, Shanlin; Wiseman, Nicola A.; Long, Matthew C.; Lindsay, Keith; Levy, Michael; Petrik, Colleen M.; Martiny, Adam C.

doi:10.1029/2024MS004521

Simulating Marine Ecosystem Dynamics and Biogeochemical Cycling With Multiple Plankton Functional Types

Journal Article · Mon Jul 21 00:00:00 EDT 2025 · Journal of Advances in Modeling Earth Systems

DOI:https://doi.org/10.1029/2024MS004521· OSTI ID:3009645

^[1]; ^[2]; Keith Moore, J. ^[1]; ^[3]; ^[4]; Wiseman, Nicola A. ^[5]; ^[2]; Lindsay, Keith ^[2]; ^[2]; ^[6]; ^[1]

Univ. of California, Irvine, CA (United States)
National Center for Atmospheric Research (NCAR), Boulder, CO (United States)
Univ. of New Hampshire, Durham, NH (United States)
Xiamen Univ. (China)
Univ. of Bristol (United Kingdom)
Univ. of California, San Diego, CA (United States). Scripps Inst. of Oceanography

Current representations of marine ecosystems in Earth System Models are greatly simplified, neglecting key interactions between dynamic food webs, biogeochemistry, and climate change. We use the Marine Biogeochemistry Library code base within the Community Earth System Model 2.2.2 to create an expanded ecosystem model with eight phytoplankton groups and four zooplankton size classes (MARBL-8P4Z). Incorporating more specific plankton types and size classes has the potential to capture a wider range of possible behaviors of the ecosystem, its complex interactions with biogeochemistry, and its feedback to climate change. It also permits stronger observational constraints, including in situ group-specific biomass and various observational estimates of plankton community composition. MARBL-8P4Z broadly captures observed global-scale patterns in biomass and community composition for both phytoplankton and zooplankton, with a good performance in simulating broad biogeochemistry fields. The model shows comparable spatial patterns and magnitudes to the observed picophytoplankton biomass (Prochlorococcus, Synechococcus, picoeukaryotes), and captures the seasonal cycle of mesozooplankton biomass. Picophytoplankton groups and microzooplankton dominate biomass and production in oligotrophic, subtropical regions, while nano-phytoplankton, diatoms and the larger zooplankton groups prevail at higher latitudes and within upwelling zones. The model simulates reasonable energy transfer efficiency through the food web, with tight linkages between the phytoplankton community composition, zooplankton grazing, and carbon export, with the potential to link to fisheries models. Thus, MARBL-8P4Z has the potential to account for key climate-driven ecological shifts in the plankton that will modify ocean biogeochemistry in the future.

View Accepted Manuscript (DOE)

Research Organization:: Univ. of California, Irvine, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Grant/Contract Number:: SC0021267; SC0022177; SC0025329

Other Award/Contract Number:: 101813‐Z7554214
NA20OAR4310438
NA20OAR4310441
NA20OAR4310442
80NSSC20K1289

OSTI ID:: 3009645

Alternate ID(s):: OSTI ID: 3024417

Journal Information:: Journal of Advances in Modeling Earth Systems, Journal Name: Journal of Advances in Modeling Earth Systems Journal Issue: 7 Vol. 17; ISSN 1942-2466

Publisher:: American Geophysical Union (AGU)Copyright Statement

Country of Publication:: United States

Language:: English

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model data from MARBL-8P4Z Yu, Jun Zenodo https://doi.org/10.5281/zenodo.14908346	dataset	January 2025
modified code for 8P4Z model Yu, Jun Zenodo https://doi.org/10.5281/zenodo.15540287	model	January 2025

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54 ENVIRONMENTAL SCIENCES
MARBL
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