Dataset for Gelatinous zooplankton-mediated carbon flows in the global oceans: A data-driven modeling study
Creators
- 1. NOAA Geophysical Fluid Dynamics Laboratory
- 2. Young Scientist Academy
- 3. King Abdullah University of Science and Technology
- 4. National Oceanography Centre Southampton
- 5. Australian Rivers Institute and Griffith School of Environment
- 6. Hatfield Marine Science Center, Oregon State University
Description
Gridded dataset of gelatinous zooplankton (GZ) biomass (mg C m-3) and numeric density (individuals m-3), time-averaged, in a 1-degree grid. Data are separated by phyla: Cnidaria, Ctenophora, and Chordata (pelagic tunicates). Original data compiled as part of the Jellyfish Database Initiative Project (JeDI; Condon et al. 2015, doi:10.1575/1912/7191) and converted to carbon biomass units for Lucas et al. 2014.
Cnidarian additions to this dataset include records from the northern California Current (Brodeur et al., 2014) and Gulf of Mexico (Robinson et al., 2015). Chordata additions include salps from the Bermuda Atlantic Time Series (BATS; Stone & Steinberg, 2014), Western Antarctic Peninsula (WAP; Steinberg et al., 2015), and Southern Ocean, from KRILLBASE (Atkinson et al., 2017). Note that we excluded the KRILLBASE records from the WAP region that to prevent double-counting. See Methods in Luo et al. (2020) for details on biometric conversions to carbon biomass.
Data were averaged by time (season, then year), and then within each 1-degree grid cell.
Code for the model using this dataset is available at: https://github.com/jessluo/gz_biogeochem_pub
Luo, Jessica Y., Condon, R. H., Stock, C. A., Duarte, C. M., Lucas, C. H., Pitt, K. A., & Cowen, R. K. (2020). Gelatinous zooplankton‐mediated carbon flows in the global oceans: A data‐driven modeling study. Global Biogeochemical Cycles, 34, e2020GB006704. https://doi.org/10.1029/2020GB006704
Files
Gridded_Biomass.csv
Files
(362.6 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:9416ad30c7887d5b470b8f693b712657
|
362.6 kB | Preview Download |
Additional details
Related works
- Is cited by
- Journal article: 10.1029/2020GB006704 (DOI)
References
- Atkinson, A., Hill, S. L., Pakhomov, E. A., Siegel, V., Anadon, R., Chiba, S., et al. (2017). KRILLBASE: A circumpolar database of Antarctic krill and salp numerical densities, 1926-2016. Earth System Science Data. https://doi.org/10.5194/essd-9-193-2017
- Brodeur, R. D., Barcelo, C., Robinson, K. L., Daly, E. A., & Ruzicka, J. J. (2014). Spatial overlap between forage fishes and the large medusa Chrysaora fuscescens in the northern California Current region. Marine Ecology Progress Series, 510, 167–181. https://doi.org/10.3354/meps10810
- Condon, R. H., Lucas, C. H., Duarte, C. M., Pitt, K. A., D., H. S. H., Madin, L. P., et al. (2015). Jellyfish Database Initiative (JeDI). https://doi.org/10.1575/1912/7191
- Lucas, C. H., Jones, D. O. B., Hollyhead, C. J., Condon, R. H., Duarte, C. M., Graham, W. M., et al. (2014). Gelatinous zooplankton biomass in the global oceans: geographic variation and environmental drivers. Global Ecology and Biogeography, 23(7), 701–714. https://doi.org/10.1111/geb.12169
- Robinson, K. L., Ruzicka, J. J., Hernandez, F. J., Graham, W. M., Decker, M. B., Brodeur, R. D., & Sutor, M. (2015). Evaluating energy flows through jellyfish and gulf menhaden (Brevoortia patronus) and the effects of fishing on the northern Gulf of Mexico ecosystem. ICES Journal of Marine Science. https://doi.org/10.1093/icesjms/fsv088
- Steinberg, D. K., Ruck, K. E., Gleiber, M. R., Garzio, L. M., Cope, J. S., Bernard, K. S., et al. (2015). Long-term (1993–2013) changes in macrozooplankton off the Western Antarctic Peninsula. Deep Sea Research Part I: Oceanographic Research Papers, 101, 54–70. https://doi.org/http://dx.doi.org/10.1016/j.dsr.2015.02.009
- Stone, J. P., & Steinberg, D. K. (2014). Long-term time-series study of salp population dynamics in the Sargasso Sea. Marine Ecology Progress Series, 510, 111–127. https://doi.org/10.3354/meps10985