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Characterizing uncertainty in climate impact projections: a case study with seven marine species on the North American continental shelf

Citation

Morley, James; Froelicher, Thomas; Pinsky, Malin (2020), Characterizing uncertainty in climate impact projections: a case study with seven marine species on the North American continental shelf , Dryad, Dataset, https://doi.org/10.5061/dryad.44j0zpcbc

Abstract

Projections of climate change impacts on living resources are being conducted frequently, and the goal is often to inform policy. Species projections will be more useful if uncertainty is effectively quantified. However, few studies have comprehensively characterized the projection uncertainty arising from greenhouse gas scenarios, Earth system models, and both structural and parameter uncertainty in species distribution modeling. Here we conducted 8964 unique 21st century projections for shifts in suitable habitat for seven economically important marine species including American lobster, Pacific halibut, Pacific ocean perch, and summer flounder. For all species, both the Earth system model used to simulate future temperatures and the niche modeling approach used to represent species distributions were important sources of uncertainty, while variation associated with parameter values in niche models was minor. Greenhouse gas emissions scenario contributed to uncertainty for projections at the century scale. The characteristics of projection uncertainty differed among species and also varied spatially, which underscores the need for improved multi-model approaches with a suite of Earth system models and niche models forming the basis for uncertainty around projected impacts. Ensemble projections show the potential for major shifts in future distributions. Therefore, rigorous future projections are important for informing climate adaptation efforts.

Methods

For a full description of methodology, please refer to our published article "Characterizing uncertainty in climate impact projections: a case study with seven marine species on the North American continental shelf" published in ICES Journal of Marine Science.

Usage Notes

NOTE: If you use these data, please cite the article "Characterizing uncertainty in climate impact projections: a case study with seven marine species on the North American continental shelf" published in ICES Journal of Marine Science.

Data files are packaged as ".RData" files, to be used with R computing software.

Filenames indicate scientific name of species (7 total species are modeled); Ocean (Pac = Pacific, Atl = Atlantic); Representative Concentration Pathway (i.e. RCP 2.6, 4.5, or 8.5); Season of the year (i.e. "jas" is July-August-September); Type of species distribution model (GLM, GAM, or BRT).   

Each .RData file contains projection output for a probability of occurence based niche model (pred.agg_PA) and a delta-biomass based niche model (pred.agg_biom).

Each .RData file has 21 columns. 'year-range' indicates the aggregated 21st century time range; 'latitude' and 'longitude' indicate geographic position of a grid cell; 'mean1' through 'mean18' indicate projected values of habitat suitability for 18 Earth System Models (ESM). These ESMs are: c('bcc-csm1-1-m', 'bcc-csm1-1', 'CanESM2', 'CCSM4', 'CESM1-CAM5', 'CNRM-CM5', 'GFDL-CM3', 'GFDL-ESM2M', 'GFDL-ESM2G', 'GISS-E2-R', 'GISS-E2-H', 'HadGEM2-ES', 'IPSL-CM5A-LR', 'IPSL-CM5A-MR', 'MIROC-ESM', 'MIROC5', 'MPI-ESM-LR', 'NorESM1-ME')