Published March 7, 2023 | Version V1
Dataset Open

Data and code to next-generation ensemble projections reveal higher climate risks for marine ecosystems

  • 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. 

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CMIP5vsCMIP6_code.zip

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