Data and code to next-generation ensemble projections reveal higher climate risks for marine ecosystems
Authors/Creators
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Derek P. Tittensor1
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Camilla Novaglio2
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Cheryl S. Harrison3
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Ryan F. Heneghan4
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Nicolas Barrier5
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Daniele Bianchi6
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Laurent Bopp7
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Andrea Bryndum-Buchholz1
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Gregory L. Britten8
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Matthias Büchner9
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William W. L. Cheung10
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Villy Christensen10
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Marta Coll11
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John P. Dunne12
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Tyler D. Eddy13
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Jason D. Everett14
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Jose A. Fernandes-Salvador15
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Elizabeth A. Fulton16
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Eric D. Galbraith17
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Didier Gascuel18
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Jerome Guiet6
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Jasmin G. John12
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Jason S. Link19
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Heike K. Lotze1
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Olivier Maury5
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Kelly Ortega-Cisneros20
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Juliano Palacios-Abrantes10
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Colleen M. Petrik21
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Hubert du Pontavice18
- Jonathan Rault5
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Anthony J. Richardson14
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Lynne Shannon20
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Yunne-Jai Shin5
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Jeroen Steenbeek22
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Charles A. Stock12
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Julia L. Blanchard2
- 1. Department of Biology, Dalhousie University, Halifax, Nova Scotia, Canada
- 2. Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia
- 3. School of Earth, Environmental and Marine Science, University of Texas Rio Grande Valley, Port Isabel, TX, USA
- 4. School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia
- 5. MARBEC, IRD, Univ Montpellier, Ifremer, CNRS, Sète/Montpellier, France
- 6. Department of Atmospheric and Oceanic Sciences, University of California Los Angeles, Los Angeles, CA, USA
- 7. LMD/IPSL, CNRS, Ecole Normale Supérieure, Université PSL, Sorbonne Université, Ecole Polytechnique, Paris, France
- 8. Program in Atmospheres, Oceans, and Climate, Massachusetts Institute of Technology, Cambridge, MA, USA
- 9. Potsdam-Institute for Climate Impact Research (PIK), Potsdam, Germany
- 10. Institute for the Oceans and Fisheries, The University of British Columbia, Vancouver, British Columbia, Canada
- 11. Institute of Marine Science (ICM-CSIC), Barcelona, Spain
- 12. NOAA/OAR Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
- 13. Centre for Fisheries Ecosystems Research, Fisheries and Marine Institute, Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada
- 14. School of Mathematics and Physics, The University of Queensland, St. Lucia, Queensland, Australia
- 15. AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Sukarrieta (Bizkaia), Spain
- 16. Commonwealth Scientific and Industrial Research Organisation (CSIRO) Oceans and Atmosphere, Hobart, Tasmania, Australia
- 17. Department of Earth and Planetary Science, McGill University, Montreal, Quebec, Canada
- 18. UMR Ecology and Ecosystems Health (ESE), Institut Agro, Inrae, Rennes, France
- 19. NOAA Fisheries, Woods Hole, MA, USA
- 20. Department of Biological Sciences, University of Cape Town, Cape Town, South Africa
- 21. Department of Oceanography, Texas A&M University, College Station, TX, USA
- 22. Ecopath International Initiative Research Association, Barcelona, Spain
Description
Data products: Tittensor et al. (2021). Next-generation ensemble projections reveal higher climate risks for marine ecosystems, Nature Climate Change. DOI: https://doi.org/10.1038/s41558-021-01173-9
This data was produced using R scripts available on the GitHub repository https://github.com/Fish-MIP/CMIP5vsCMIP6, and was used for analysis and plotting in Tittensor et al. (2021). These R scripts are also available here as CMIP5vsCMIP6_code.zip
Data_CMIP5.Rdata and Data_CMIP6.RData include all data used to produce global maps of percentage change in total consumer biomass.
Data_trends_CMIP5.Rdata and Data_trends_CMIP6.RData include all data used to produce temporal trends of percentage change in total consumer biomass.
Data_inputs_CMIP5.Rdata and Data_trends_CMIP6.RData include all data used to produce global maps of percentage change in phytoplankton biomass, zooplankton biomass, net primary production and sea surface temperature.
Data_trends_inputs_CMIP5.Rdata and Data_trends_CMIP6.RData include all data used to produce temporal trends of percentage change in phytoplankton biomass, zooplankton biomass, net primary production and sea surface temperature.
The suffix _reducedModelSet refers to the case when only the subset of Fish-MIP models in Lotze et al. (2019) - Global ensemble projections reveal trophic amplification of ocean biomass declines with climate change, PNAS, DOI: https://doi.org/10.1073/pnas.1900194116 - are considered. This data was used to produce some of the supplementary figures in Tittensor et al. (2021).
Please contact Derek Tittensor (derek.tittensor@dal.ca), Camilla Novaglio (camilla.novaglio@gmail.com), or Julia Blanchard (julia.blanchard@utas.edu.au) for data interpretation and use.
Files
CMIP5vsCMIP6_code.zip
Files
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