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OAS accession Detail for 0288322
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| accessions_id: | 0288322 | archive |
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| Title: | Predicted probability of occupancy and abundance under a doubling of carbon dioxide using simulations from GFDL CM2.6 on 2019-03-05 (NCEI Accession 0288322) |
| Abstract: | This dataset contains biological and physical data collected in the New York Bight and North Atlantic Ocean on 2019-03-05. These data include biomass, taxon, and water temperature. These data were collected by Malin Pinsky of Rutgers University as part of the "Adaptations of fish and fishing communities to rapid climate change (CC Fishery Adaptations)" project. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) submitted these data to NCEI on 2019-04-08. The following is the text of the dataset description provided by BCO-DMO: Dataset Description: Predicted probability of occupancy and abundance under a doubling of carbon dioxide using simulations from GFDL CM2.6. These data were published in Selden (2018). The "Get Data" button on this page provides a tabular version of this dataset. These data are also available in the following R Datafile containing a DataFrame named “projected.” https://datadocs.bco-dmo.org/data/305/CC_Fishery_Adaptations/753188/1/data/projected.RData Related dataset: "Observed and modeled presence 1968-2014": https://www.bco-dmo.org/dataset/753142 |
| Date received: | 20190408 |
| Start date: | 20190305 |
| End date: | 20190305 |
| Seanames: | New York Bight, North Atlantic Ocean, Stellwagen Bank National Marine Sanctuary |
| West boundary: | -75.75 |
| East boundary: | -65.75 |
| North boundary: | 44.25 |
| South boundary: | 35.25 |
| Observation types: | biological, physical |
| Instrument types: | |
| Datatypes: | SPONGE SPECIES IDENTIFICATION, TAXONOMIC CODE, WATER TEMPERATURE |
| Submitter: | |
| Submitting institution: | Biological and Chemical Oceanography Data Management Office |
| Collecting institutions: | Rutgers, The State University of New Jersey |
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| Supplementary information: | Acquisition Description: To evaluate how future warming may affect species overlap, we examined projections of ocean temperature from experimental runs of CM2.6—a high-resolution global climate model developed by the National Oceanographic and Atmospheric Administration’s Geophysical Fluid Dynamics Laboratory. The climate model simulates an annual 1% increase in atmospheric CO2 over the course of 80-years, reaching a doubling of CO2 by year 70. Under the IPCC’s RCP 8.5 emissions scenario, CO2 is predicted to approximately double by 2075 (van Vuuren et al., 2011). The CM2.6 model projects temperature as the change in temperature from the initial year, such that projections are in relative units (ΔºC). We use ΔºC projections for surface and bottom waters for the spring months of March, April and May. To convert projected temperature change (ΔºC) to absolute temperatures (ºC), projected temperature changes were added to the long-term mean climatology in each 0.25°latitude x 0.25°longitude grid cell. The fitted species distribution models were then projected with the CM2.6 sea bottom and sea surface temperatures for each simulated time step (t). Projections were made for each 0.25°latitude x 0.25°longitude grid cell j in the study region while holding species biomass constant at its overall mean and using the mean depth and substrate for each grid cell. Projections were also made with average biomass set equal to 50% and 150% of the historical mean to explore the effect of abundance on projected species occupancy. |
| Availability date: | |
| Metadata version: | 1 |
| Keydate: | 2024-02-02 15:25:05+00 |
| Editdate: | 2024-02-02 15:26:30+00 |