Data from: Response of marine communities to local temperature changes
Flanagan, Patrick H., Rutgers University
Jensen, Olaf P., Rutgers University
Morley, James W., Rutgers University
Pinsky, Malin L., Rutgers University
Published Oct 19, 2018 on Dryad.
Cite this dataset
Flanagan, Patrick H.; Jensen, Olaf P.; Morley, James W.; Pinsky, Malin L. (2018). Data from: Response of marine communities to local temperature changes [Dataset]. Dryad. https://doi.org/10.5061/dryad.bg08269
As global climate change and variability drive shifts in species’ distributions, ecological communities are being reorganized. One approach to understand community change in response to climate change has been to characterize communities by a collective thermal preference, or Community Temperature Index (CTI), and then to compare changes in CTI with changes in temperature. However, important questions remain about whether and how responsive communities are to changes in their local thermal environments. We used CTI to analyze changes in 160 marine assemblages (fish and invertebrates) across the rapidly-changing Northeast U.S. Continental Shelf Large Marine Ecosystem and calculated expected community change based on historical relationships between species presence and temperature from a separate training dataset. We then compared interannual and long-term temperature changes with expected community responses and observed community responses over both temporal scales. For these marine communities, we found that community composition as well as composition changes through time could be explained by species associations with bottom temperature. Individual species had non-linear responses to changes in temperature, and these nonlinearities scaled up to a nonlinear relationship between CTI and temperature. On average, CTI increased by 0.36 ºC (95 % CI: 0.34-0.38 ºC) for every 1 °C increase in bottom temperature, but the relationship between CTI and temperature also depended on community composition. In addition, communities responded more strongly to interannual variation than to long-term trends in temperature. We recommend that future research into climate-driven community change accounts for nonlinear responses and examines ecological responses across a range of temporal and geographical scales.
Northeast US Continental Shelf Bottom Trawl Data 1963-2015
Data from the US National Marine Fisheries Service's biannual (spring and fall) stratified random bottom trawl survey, from 1963-2015. Data has been cleaned using the trawlData package (ver. 0.4.0) in R (for details on the cleaning process, see https://github.com/rBatt/trawlData/).
From this dataset, columns used for Flanagan et al. (2018) include: stratum (Numbered survey strata defined by the Northeast Fisheries Science Center), year, season, lat, lon, depth, bottom temperature [btemp], corrected weight of catch per unit effort [wtcpue] and species [spp]. See README for more details on this and related files.
US continental shelf benthic marine species' modeled thermal preferences
Modeled thermal preferences for species found in the US National Marine Fisheries Service biannual (spring and fall) bottom trawl surveys. Modeled preferences were generated using survey data from the North American continental shelf from the Gulf of Mexico to Newfoundland. Models included all spring and fall surveys from 1963-2015, excluding trawls from the Northeast US (North Carolina to Maine) from 1990-2015. See README for details on column headings.
Scientific names, common names, and species ID codes from the Northeast Fisheries Science Center's biannual bottom trawl survey, provided by M. Fogarty and S. Lucey. See README for details on related files.