From Australian Oceans Data Network
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CMIP6 simulated zooplankton dynamics: grazing, mortality and other data streams

Created 13/03/2025

Updated 13/03/2025

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We compare the formulation and emergent dynamics of 11 CMIP6 IPCC marine biogeochemical models. We find that the largest source of uncertainty across model simulations of marine carbon cycling is grazing pressure (i.e. the phytoplankton specific loss rate to grazing). Variability in grazing pressure is driven by large differences in zooplankton specific grazing rates, which are not sufficiently compensated for by offsetting differences in zooplankton specific mortality rates. Models instead must tune the turnover rate of the phytoplankton population to balance large differences in top-down grazing pressure and constrain net primary production. We then run a controlled sensitivity experiment in a global, coupled ocean-biogeochemistry model to test the sensitivity of marine carbon cycling to this uncertainty and find that even when tuned to identical net primary production, export and secondary production remain extremely sensitive to grazing, likely biasing predictions of future climate states and food security.

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Title CMIP6 simulated zooplankton dynamics: grazing, mortality and other data streams
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/123bf3a5-6c0b-4399-b4dd-fa8535a19462
Contact Point
CSIRO Oceans & Atmosphere
tyler.rohr@utas.edu.au
Reference Period 01/09/2022 - 07/09/2023
Data Portal data.gov.au

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This dataset was originally found on data.gov.au "CMIP6 simulated zooplankton dynamics: grazing, mortality and other data streams". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/cmip6-simulated-zooplankton-dynamics-grazing-mortality-and-other-data-streams

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