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OAS accession Detail for 0131198, meta_version: 4. Current meta_version is: 17
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| accessions_id: | 0131198 | archive |
|---|---|
| Title: | Vulnerability assessment of California current food webs and economics to ocean acidification |
| Abstract: | Here we evaluate the likely economic and ecological outcomes of ocean acidification in the California Current. Specifically, we have archived netcdf output files from simulations that accomplish the following: -Use a Regional Ocean Modeling System (ROMS) to predict present and future spatial projections of ocean acidification, as well as salinity, currents, and upwelling. ROMS was coupled to global circulation models (GFDL ESM2M) and IPCC CO2 scenarios. -Build on previous literature reviews and ongoing experiments to develop scenarios for the biological response of calcifying benethic organisms (e.g. mollusks, clams, brittle stars) to pH. -Use an Atlantis ecosystem model to project these direct impacts of acidification on lower trophic levels, the resulting food web-mediated response of harvested and protected stocks, and catches by US West Coast fisheries. Atlantis is driven by dynamic, spatially explicit fields from ROMS. See "Technical Documentation" here: http://www.nwfsc.noaa.gov/research/divisions/cb/ecosystem/marineecology/aem.cfm Four separate netcdf output files from Atlantis are provided here. They are 50 year projections of ecosystem model dynamics. These are 1) 2010sConditionsNopHResponse, which repeats or loops ocean conditions during the 2010s,with no effect of pH on organism biology 2) 2060sConditionsNopHResponse, which repeats or loops ocean conditions during the 2060s,with no effect of pH on organism biology 3) 2010sConditionsWithpHResponse, which repeats or loops ocean conditions during the 2010s, but with effect of pH on organism biology of calcifying benthic groups 4) 2060sConditionsWithpHResponse, which repeats or loops ocean conditions during the 2010s,with no effect of pH on organism biology |
| Date received: | 20150831 |
| Start date: | 20130101 |
| End date: | 20531231 |
| Seanames: | North Pacific Ocean |
| West boundary: | -155.5 |
| East boundary: | -133.75 |
| North boundary: | 51 |
| South boundary: | 27 |
| Observation types: | model output |
| Instrument types: | Not applicable |
| Datatypes: | AMMONIA (NH3), CHLOROPHYLL A, FISH BIOMASS, NITRATE, pH, silicate, species abundance |
| Submitter: | Kaplan, Isaac C. |
| Submitting institution: | US DOC; NOAA; NMFS; Northwest Fisheries Science Center |
| Collecting institutions: | US DOC; NOAA; NMFS; Northwest Fisheries Science Center |
| Contributing projects: | |
| Platforms: | |
| Number of observations: | |
| Supplementary information: | Basics of understanding variable names: Biological variables for living organisms have the suffix "N", "Nums","ResN", or "StructN". "N" is nitrogen concentration in mg N/m^3, within each model polygon and timestep. Note that this is a proxy for biomass -- if you want to know how many tons of fish you have, you translate from N concentration to fish biomass. Nitrogen is reported for all living groups (as a proxy for biomass). Invertebrates are only modeled in terms of biomass or Nitrogen, not as indivividuals. All vertebrates are modeled in terms of numbers in each age class. In each variable name, "1" indicates the first age class, "2" the second, up to "10" which is the oldest age class. Since vertebrates are modeled as number per age class, we have variables (for each polygon and timestep) which represent "Nums" (numbers of individuals), "ResN" (weight of meat and soft tissue"), "StructN" (weight of bones and hard parts). One exception is invertebrates that live in the sediment (clams, worms etc.) which are in units of mg N/m2. Physical variables for water volume or flux are m3, depth variables are in m, habitat types (reef, flat, soft, canyon, and "cover") are in proportion, salt is ppt. pH is in log(H) units as is expected. |
| Availability date: | |
| Metadata version: | 4 |
| Keydate: | 2015-08-31 14:08:24+00 |
| Editdate: | 2015-10-05 18:07:00+00 |