Ecological vs. climate uncertainty in future marine ecosystems: lessons learned from krill in a major upwelling region
Data files
Dec 16, 2025 version files 125.31 MB
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krill_superensemble_rcp85_2000-2100.nc
125.31 MB
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README.md
4.18 KB
Abstract
Krill is a central organism in the food web of many marine ecosystems and eastern boundary current upwelling regions specifically. Here, a superensemble of climate and ecological models is used to determine drivers of future change, variability, and uncertainty in krill abundance for the California Current. While krill is projected to slowly decrease throughout the 21st century, the long-term trend consistently exceeds natural variability only under extreme warming. Similarly, unprecedented low krill years are expected to progressively increase, but their frequency of occurrence will depend on background abundances tied to low-frequency climate variability. The relative contributions of warming rate and model formulation to projected uncertainty are comparable and reflect latitudinal changes in the magnitude of climate forcing and availability of empirical data to parameterize krill models, thereby warranting a more pragmatic incorporation of anthropogenic and ecological uncertainty sources when projecting the fate of marine ecosystems in a changing climate.
Dataset DOI: 10.5061/dryad.3xsj3txtp
Description of the data and file structure
This dataset is a subset of an ensemble of downscaled regional climate projections for krill in the central California Current upwelling system for 2000-2100. The ensemble consists of 9 members that include 3 rates of warming (Lo8.5, Av8.5, and Hi8.5) representative of the RCP8.5 high emissions scenario and 3 functionally different krill model formulations (NPD, an Eulerian nutrient-phytoplankton-zooplankton model; GA, a Lagrangian growth-advection nutrient-phytoplankton-zooplankton model; and SDM, a statistical distribution model). For all projections, the underlying physical model is an implementation of the Regional Ocean Modelling System (ROMS; www.myroms.org) at 1/10° (~10 km) resolution.
Files and variables
File: krill_superensemble_rcp85_2000-2100.nc
Description: A subset of variables were extracted for the central California Current region (34-43N, 127-120W) from the monthly model output and averaged annually over the upwelling season (May-Aug) using Ferret V7.1 (http://ferret.pmel.noaa.gov/Ferret). The dataset is in NetCDF4 format (CF-1.4 compliant) with metadata describing each variable name and associated units on the native ROMS grid.
Variables names and units:
tauy_lo85: meridional surface wind stress (N m-2) for lower warming rate
zeta_lo85: sea surface height (m) for lower warming rate
temp_lo85: sea surface temperature (deg. C) for lower warming rate
no3_lo85: surface nitrate concentration (mmol N m-3) for lower warming rate
phyto_lo85: surface phytoplankton concentration (mmol N m-3) for lower warming rate
krill_npz_lo85: surface krill abundance (mmol N m-3) from NPD model for lower warming rate
krill_ga_lo85: surface krill abundance (mmol C m-3) from GA model for lower warming rate
krill_sdm_lo85: surface krill abundance (CPUE) from SDM model for lower warming rate
tauy_av85: meridional surface wind stress (N m-2) for average warming rate
zeta_av85: sea surface height (m) for average warming rate
temp_av85: sea surface temperature (deg. C) for average warming rate
no3_av85: surface nitrate concentration (mmol N m-3) for average warming rate
phyto_av85: surface phytoplankton concentration (mmol N m-3) for average warming rate
krill_npz_av85: surface krill abundance (mmol N m-3) from NPD model for average warming rate
krill_ga_av85: surface krill abundance (mmol C m-3) from GA model for average warming rate
krill_sdm_av85: surface krill abundance (CPUE) from SDM model for average warming rate
tauy_hi85: meridional surface wind stress (N m-2) for higher warming rate
zeta_hi85: sea surface height (m) for higher warming rate
temp_hi85: sea surface temperature (deg. C) for higher warming rate
no3_hi85: surface nitrate concentration (mmol N m-3) for higher warming rate
phyto_hi85: surface phytoplankton concentration (mmol N m-3) for higher warming rate
krill_npz_hi85: surface krill abundance (mmol N m-3) from NPD model for higher warming rate
krill_ga_hi85: surface krill abundance (mmol C m-3) from GA model for higher warming rate
krill_sdm_hi85: surface krill abundance (CPUE) from SDM model for higher warming rate
Code/software
No code or software was shared. Content of the NetCDF data file can be visualized using publicly available software, such as Panoply (https://www.giss.nasa.gov/tools/panoply), Ncview (https://cirrus.ucsd.edu/ncview), HDFView (https://www.hdfgroup.org/download-hdfview), or other programing platforms (Python, R, Ferret).
Access information
Other publicly accessible locations of the data:
- Model output can also be obtained by contacting Prof. Jerome Fiechter (fiechter@ucsc.edu) at the University of California, Santa Cruz.
Data was derived from the following sources:
- Ensemble of downscaled regional climate projections for the California Current upwelling system.
