GIS based tools for marine habitat determination and marine spatial planning Tiffany C. Vance NOAA/NMFS/Alaska Fisheries Science Center C.J. Beegle-Krause, David Steube ASA / Applied Science Associates Sharon M. Mesick NOAA National Oceanographic Data Center / Coastal Data Development Center Why look at habitat? • Climate studies look at societal impacts – habitat loss/gain/change is analogous for organisms • Legislative mandate to identify critical habitat • As ecosystem forecasting develops, need for tools to integrate climate impacts • Element of marine spatial planning – identifying critical areas and activities that can occur there • Ecosystem forecasting Defining Habitat • Habitat crucial to survival of organisms • Habitat can be 2.5 or 3D • Determining habitat parameters for organisms, e.g. temperature ranges, altitudes or substrate types • Data gathering vs habitat modeling Using GIS to Delineate Marine Habitat • Seagrass is a typical 2D habitat • Species interact with the surface • Bottom type, slope and currents define ‘best’ habitat • GIS provides many tools to delineate and model benthic habitats • Open ocean fish experience a multidimensional environment • Species interact with water column • Optimal pelagic habitat varies by life stage and is multivariate • Traditional GIS tools inadequate to integrate diverse time series data Walleye Pollock in Shelikof Strait • • • Walleye Pollock produce the largest catch of any single species inhabiting the 200-mile U.S. Exclusive Economic Zone. Key forage fish in the ecosystem One spawning aggregation is in Shelikof Strait. - Larvae transported down the Strait. - Favorable nursery areas assumed to be inshore - Larval dispersal studied using sampling, drifters and models EcoFOCI Forecast Horizon Years: INPUT: OUTPUT : EXAMPLES : 1 50 Indices Qualitative Scenario ROMS/NPZ IPCC Scenario Quantitative Prediction Quantitative Prediction Ecosystems FOCI Recruitment Considerations Predictions Chapter Stabeno et al., (2008) EcoFOCI = Ecosystems and Fisheries Oceanography Coordinated Investigations Work in Process (Recruitment, Dominant Species Energy Flow) NPCREP = North Pacific Climate Regimes and Ecosystem Productivity HabitatSpace • Pelagic habitat – 3D • Using in situ data, ocean models and biological data to define habitats • Interactive not static display • User can define parameter ranges for organism, iterative • Statistics to compare habitats Software Elements • • • • • • ArcGIS – extension and standalone tool IDV - for analysis and visualization netCDF files in a THREDDS server EDC - Environmental Data Connector ASA COASTMAP Statistics toolbox – Python System Architecture Data Sources • Ocean Models - NCOM, ROMS Data Server Northern Gulf Institute Ecosystem Data Assembly Center Clients • ESRI ArcGIS ext standalone tool • IDV client • Physical data - temperature, salinity • Visualization: • Data Ingest -Integrate data to define habitats - ASCII • Meteorological data - NetCDF - Shapefiles - Wind speed, insolation • Biological data -Fish catch abundance • Larval track -Modeled using ROMS currents data or -User defined, iterative parameter ranges -Path of organism through habitat • Transformation -From source to standard formats • Data Service - THREDDS - ESRI FGDB • Statistical Analysis - Hot spot analysis - Kriging - Mean center ASA-IDV Data Connector • Ocean Model Data (ROMS) • Curvilinear grid • Single file • netCDF CF compliant • Works ‘out of the box’ ESRI Data Connections Physical • Feature data readily ingested • Point, line & poly Meteorological • Raster data readily ingested Biological • Users specify data rendering with customized menus • Select and name variables Particle (Larval) Track • Name and save project files Ancillary (grid) Analysis Capabilities • Shape characterization • Statistics – Landscape metrics – Fractal dimension – Mean center • Path of organism through habitat Conclusions • Habitat determination is important for marine spatial planning and in determining climate impacts • GIS can provide tools to describe and model habitats in 3-D • IDV can be modified to provide visualization and analysis of habitats • Statistical tools for landscape metrics in 3-D still under development For additional information contact: Tiffany.C.Vance@noaa.gov Guide to the ASA IDV plugin available in the back. Plugin available at www.asascience.com Terrestrial Habitat for Ducklings http://www.ducks.ca/aboutduc/news/archives/2004/040531. html