DOI: 10.5061/dryad.bg08269
title: Data from: Response of marine communities to local temperature changes

description: 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.
description: Northeast US Continental
 Shelf Bottom Trawl Data 1963-2015Data 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.NMFS-Northeast-US-Bottom-trawl-data-1963-2015.csvUS continental shelf benthic marine species' modeled thermal preferencesModeled 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.US-continental-shelf-benthic-marine-species-thermal-preferences.csvScientific-and-common-names-of-trawl-speciesScientific 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.