CMIP6 simulated zooplankton dynamics: grazing, mortality and other data streams
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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Identification info
- Alternate title
- Data accompanying publication: Rohr et al 2023 Communications Earth and Environment
- Date (Publication)
- 2023-05-17T00:00:00
- Citation identifier
-
doi:10.25959/B7XN-W655
- Title
- Information and documentation - Digital object identifier system
- Date (Publication)
- 2023-05-17
- Citation identifier
- ISO 26324:2012
- Citation identifier
- https://doi.org/10.25959/B7XN-W655
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Author
Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS) - Rohr, Tyler
Private Bag 129
Hobart
TAS
7001
Australia
- Status
- Completed
Author
- Topic category
-
- Oceans
Temporal extent
- Time period
- 2022-09-01 2023-09-07
- Maintenance and update frequency
- Not planned
- Global Change Master Directory Earsh Science Keywords, Version 8.5
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- Data, products and services from IMAS are provided "as is" without any warranty as to fitness for a particular purpose.
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https://licensebuttons.net/l/by/4.0/88x31.png
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- Creative Commons Attribution 4.0 International License
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- CC-BY
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- 4.0
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https://creativecommons.org/licenses/by/4.0/
License Text
- Other constraints
- Cite data as: Rohr, T. (2023). CMIP6 simulated zooplankton dynamics: grazing, mortality and other data streams [Data set]. Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS). https://doi.org/10.25959/B7XN-W655
- Language
- English
- Character encoding
- UTF8
- Supplemental Information
- Publication: Zooplankton grazing is the largest source of uncertainty for marine carbon cycling in CMIP6 IPCC models
Content Information
- Content type
- Physical measurement
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- OnLine resource
- README - data file descriptor [PDF]
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- Browse all available files for download
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- Download full zipped data package
Resource lineage
- Statement
- All data is model output. Either created in simulations run on NCI or publicly hosted (but further processed) CMIP6 data. Please see linked manuscript [to be added soon] and attached ReadMe file for full documentation on model files and methodology.
- Hierarchy level
- Dataset
- Hierarchy level
- Dataset
mdb:MD_Metadata
- Metadata identifier
- urn:uuid/d84b6bfb-6254-4fa5-8391-bf48db1c889e
- Language
- English
- Character encoding
- UTF8
Distributor
IMAS Data Manager - Data Officer
Institute for Marine and Antarctic Studies
Private Bag 129
Hobart
Tasmania
7001
Australia
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- Dataset
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- IMAS Dataset level record
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https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/d84b6bfb-6254-4fa5-8391-bf48db1c889e
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- Date info (Creation)
- 2023-05-17T00:00:00
- Date info (Revision)
- 2023-05-17T00:00:00
Metadata standard
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- ISO 19115-3:2018