GIS based tools for marine habitat determination and marine spatial planning Tiffany C. Vance NOAA/NMFS/Alaska Fisheries Science Center C.J. Beegle-Krause,

Slides:



Advertisements
Similar presentations
Ecosystem Processes ECOSYSTEM DEFINITION
Advertisements

Benthic Assessments One benthic ecologists concerns and suggestions Fred Nichols USGS, retired.
A Framework for Ecosystem Impacts Assessment Using an Indicator Approach Patricia A. Livingston 1, K. Aydin 1, J. Boldt 2, J. Ianelli 1, and J. Jurado-Molina.
Differential Impacts of Climate Change on Spawning Populations of Atlantic cod in U.S. Waters Lisa Kerr, Steve Cadrin (UMass School for Marine Science.
WHERE IS F3 IN MODELING LARVAL DISPERSAL? Satoshi Mitarai, David Siegel University of California, Santa Barbara, CA Kraig Winters Scripps Institution of.
US GLOBEC Before and After
Marine Corridor Planning. The underlying principles for terrestrial and marine biodiversity conservation and corridor planning are often similar. However,
D A Kiefer, D P Harrison, M G Hinton, S Kohin, E M Armstrong, S Snyder, F J O’Brien Pelagic Habitat Analysis Module (PHAM) for GIS Based Fisheries Decision.
Tiffany C. Vance (NOAA/NMFS Alaska Fisheries Science Center)
NCAR GIS Program : Bridging Gaps
2014 ESIP Summer Meeting July 8–11, 2014 | Frisco, Colorado Advancing Scientific Data Support in ArcGIS Nawajish Noman.
A SCALING TOOL TO ACCOUNT FOR INHERENT STOCHASTICITY IN LARVAL DISPERSAL Mitarai S., Siegel D. A., Warner R.R., Kendall B.E., Gaines S.D., Costello C.J.
1 Issue: Society Depends on Ecosystem Modeling to Predict Threats and Minimize Risk.
COASTAL ECOSYSTEM MANAGEMENT IN WELLFLEET HARBOR, MA: ADDRESSING SUSTAINABLE SHELLFISHING AND AQUACULTURE AnneMarie Cataldo, Earth, Environmental and Ocean.
Flow, Fish & Fishing A Biocomplexity Project
SIMULATION SETUP Modeled after conditions found in the central coast of California (CalCOFI line 70) during a typical July Domain is unstructured in alongshore.
Climate, Ecosystems, and Fisheries A UW-JISAO/Alaska Fisheries Science Center Collaboration Jeffrey M. Napp Alaska Fisheries Science Center NOAA Fisheries.
Christine White, Esri Growing OPeNDAP Support: Current ArcGIS Workflows and Future Directions Christine White, Esri
Fishing in a stirred ocean: sustainable harvest can increase spatial variation in fish populations Heather Berkley Bruce Kendall David Siegel.
Integrated Ecosystem Assessment for the Gulf of Mexico Becky Allee Gulf Coast Services Center.
Marine GIS Applications using ArcGIS Global Classroom training course Marine GIS Applications using ArcGIS Global Classroom training course By T.Hemasundar.
Barbara Muhling John Lamkin NMFS: Southeast Center.
Habitat Analysis in ArcGIS Use of Spatial Analysis to characterize used resources Thomas Bonnot
Effects of Climate Change on Marine Ecosystems David Mountain US CLIVAR Science Symposium 14 July 2008.
Megan Stachura and Nathan Mantua University of Washington School of Aquatic and Fishery Sciences September 8, 2012.
Ocean Acidification What Is It ? For UFA Juneau Feb 2010 Gary Freitag Marine Advisory Program Ketchikan Alaska Sea Grant Univ of AK Fairbanks Jeremy Mathis.
“IDEALIZED” WEST COAST SIMULATIONS Numerical domain Boundary conditions Forcings Wind stress: modeled as a Gaussian random process - Statistics (i.e.,
Keith Brander IMBER-GODAE 12 June 2007 Variability and shifts in marine ecosytems Keith Brander ICES/GLOBEC Coordinator.
Utilizing Ecosystem Information to Improve Decision Support for Central California Salmon Project Acronym: Salmon Applied Forecasting, Assessment and Research.
SPATIAL ASSESSMENT OF THE GULF OF MEXICO & CORAL REEF FISHERIES WITH AN EMPHASIS ON THE 2010 DEEPWATER HORIZON OIL SPILL Patrina Bly Educational Partnership.
North Pacific Climate Regimes and Ecosystem Productivity Changing climate, changing ecosystem: Current issues & results.
STOQS: The Spatial Temporal Oceanographic Query System Mike McCann Abstract Monterey Bay Aquarium Research Institute Architecture Postgres.
Spatial Fisheries Values in the Gulf of Alaska Matthew Berman Institute of Social and Economic Research University of Alaska Anchorage Ed Gregr Ryan Coatta.
Theme II: Fisheries Dynamics The CIMAS Program Jerry Ault Manoj Shivlani Monica Valle Jim Bohnsack Peter Ortner Bill Richards Contributors David Die Maria.
Animation of DSM2 Outputs in ArcMap Siqing Liu Bay Delta Office Department of Water Resources 2/17/2015.
Spatial fisheries management for conservation and profitability Christopher Costello* University of California and National Bureau of Economic Research.
Texas Bay and Estuary Study Program Cindy Loeffler Flows for the Future October 31, 2005.
The Science Requirements for Coastal and Marine Spatial Planning Dr. Robert B. Gagosian President and CEO Ocean Studies Board November 10, 2009.
Modeling physical environmental impacts on survival: the SHIRAZ model Ecosystem based management FISH 507.
SCCOOS Goals and Efforts Within COCMP, SCCOOS aims to develop products and procedures—based on observational data—that effectively evaluate and improve.
For the CoML Modeling and Visualization Workshop Jason Roberts and Ben Best 3-Feb-2009, Long Beach, CA.
Assessing Linkages between Nearshore Habitat and Estuarine Fish Communities in the Chesapeake Bay Donna Marie Bilkovic*, Carl H. Hershner, Kirk J. Havens,
Extent and Mask Extent of original data Extent of analysis area Mask – areas of interest Remember all rasters are rectangles.
Over the northern West Florida Shelf several reef fish species (with gag grouper being a key species) spawn near the outer shelf edge in winter and early.
The management of small pelagics. Comprise the 1/3 of the total world landings Comprise more than 50% of the total Mediterranean landings, while Two species,
Great Lakes Environmental Research Laboratory Review – Ann Arbor, MI November 15-18, Click to edit Master text styles –Second level Third level.
The Unified Access Framework for Gridded Data … the 1 st year focus of NOAA’s Global Earth Observation Integrated Data Environment (GEO-IDE) Steve Hankin,
WP220 – Marine ecosystems and fisheries Tony Beeching Cefas.
Great Lakes Environmental Research Laboratory Review – Ann Arbor, MI November 15-19, Click to edit Master text styles –Second level Third level.
The Science Requirements for Coastal and Marine Spatial Planning Dr. Robert B. Gagosian President and CEO September 24, 2009.
Hydrodynamic Connectivity in Marine Population Dynamics Satoshi Mitarai 1, David A. Siegel 1, Bruce E. Kendall 1, Robert R. Warner 1, Steven D. Gaines.
Ecosystem Research Initiative (ERI) for the Gulf of Maine Area (GoMA)
Eoin Howlett, Kelly Knee ASA Roy Mendelssohn, Cara Wilson NOAA/NMFS
Phil Hurvitz Avian Conservation Lab Meeting 8. March. 2002
GIS for Atmospheric Sciences and Hydrology By David R. Maidment University of Texas at Austin National Center for Atmospheric Research, 6 July 2005.
Structure and Function of Marine Ecosystems Steven Murawski Ph.D. Director, Office of Science & Technology National Marine Fisheries Service  Challenges.
Data Stewardship at the NOAA Data Centers Sub Topic - Value Added Products ESIP Federation Meeting, Washington, DC January 6-8, 2009.
1 Assessing Vulnerability of Living Marine Resources in a Changing Climate Roger Griffis Climate Change Coordinator, NOAA Fisheries Service.
OEAS 604: Final Exam Tuesday, 8 December 8:30 – 11:30 pm Room 3200, Research Innovation Building I Exam is cumulative Questions similar to quizzes with.
Distribution and connectivity between spawning and settling locations of Greenland halibut (Reinhardtius hippoglossoides) in the Bering Sea Dongwha Sohn.
North Pacific Climate Regimes and Ecosystem Productivity (NPCREP) NOAA Fisheries Ned Cyr NOAA Fisheries Service Office of Science and Technology Silver.
Illustrating NOAA’s Geospatial Role in Resilient Coastal Zones Joseph Klimavicz, NOAA CIO and Director of High Performance Computing and Communications.
Climate Impacts on Pelagic Ecosystems Phoebe Woodworth-Jefcoats Ecosystems and Oceanography Program Ecosystem Sciences Division PIFSC 5 April 2016.
Marine Science in Alaska: 2005 Symposium Vice Admiral Conrad C. Lautenbacher, Jr., U.S. Navy (Ret.) Under Secretary of Commerce for Oceans & Atmosphere.
US Army Engineer Research and Development Center
CEE 6440 GIS in Water Resources Fall 2004 Term Paper Presentation
Landscape Ecology in the Marine Environment
An Introduction to Ecology and the Biosphere
Clip & Convert to ASCII Program Kelly Knapp Spring 2010
Presentation transcript:

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 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 Walleye Pollock in Shelikof Strait

EcoFOCI Forecast Horizon Years: 1 50 INPUT: Indices ROMS/NPZ IPCC Scenario OUTPUT : Qualitative Quantitative Quantitative Scenario Prediction Prediction EXAMPLES : Ecosystems FOCI Recruitment Work in Process Considerations Predictions (Recruitment, Chapter Dominant Stabeno et al., Species (2008) Energy Flow) EcoFOCI = Ecosystems and Fisheries Oceanography Coordinated Investigations 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 SourcesData ServerClients Ocean Models - NCOM, ROMS Physical data - temperature, salinity Meteorological data - Wind speed, insolation Biological data - Fish catch abundance Larval track - Modeled using ROMS currents data Northern Gulf Institute Ecosystem Data Assembly Center Visualization: -Integrate data to define habitats ESRI ArcGIS ext or standalone tool IDV client Statistical Analysis - Hot spot analysis - Kriging - Mean center - User defined, iterative parameter ranges - Path of organism through habitat Data Ingest - ASCII - NetCDF - Shapefiles Transformation - From source to standard formats Data Service - THREDDS - ESRI FGDB

ASA-IDV Data Connector Ocean Model Data (ROMS) Curvilinear grid Single file netCDF CF compliant Works ‘out of the box’

ESRI Data Connections Physical Meteorological Biological Particle (Larval) Track Ancillary (grid) Feature data readily ingested Point, line & poly Raster data readily ingested Users specify data rendering with customized menus Select and name variables Name and save project files

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: Guide to the ASA IDV plugin available in the back. Plugin available at

Terrestrial Habitat for Ducklings html