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Thoughts on Algorthmic Approaches to Reveal Marine Geomorphology as a Proxy for Habitat

Thoughts on Algorthmic Approaches to Reveal Marine Geomorphology as a Proxy for Habitat. Dawn Wright Dept. of Geosciences, Oregon State University Will Heyman Department of Geography, Texas A&M University. Presentation IT13B-01 2010 Ocean Sciences Meeting Portland, OR.

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Thoughts on Algorthmic Approaches to Reveal Marine Geomorphology as a Proxy for Habitat

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  1. Thoughts on Algorthmic Approaches to Reveal Marine Geomorphology as a Proxy for Habitat Dawn Wright Dept. of Geosciences, Oregon State University Will Heyman Department of Geography, Texas A&M University Presentation IT13B-01 2010 Ocean Sciences Meeting Portland, OR

  2. Primary Data Acquisition: Visual NOAA CRED Hawaii Undersea Research Lab

  3. Primary Data Acquisition: “Shallow” Ikonos satellite (Image from SatMagazine) R/V Acoustic Habitat Investigator w/ RESON 8101, NOAA Portable, pole-mounted EM3000 Multibeam sonar, 200 m and shallower Ikonos, shoreline to 15 m

  4. Primary Data Acquisition: “Deep” Image from Lost City Expedition (2003) Multibeam sonar, regional scale, 200 m and deeper

  5. Algorithmic Approaches

  6. Algorithmic Approaches

  7. Shape: Bathymetric Position Index Broad scale Fine scale (from TPI, Jones et al., 2000; Weiss, 2001; Iampietro & Kvitek, 2002)

  8. Zone and Structure Flow Chart Emily Lundblad, OSU Thesis

  9. Structure Classification Decision Tree Emily Lundblad, OrSt M.S. Thesis

  10. http://dusk.geo.orst.edu/djl/samoa Benthic Terrain Modeler

  11. Ecosystem-Based Mgmt Tools Network www.ebmtools.org

  12. Roughness: Rugosity Measure of how rough or bumpy a surface is, how convoluted and complex Ratio of surface area to planar area Surface area based on elevations of 8 neighbors 3D view of grid on the left Center pts of 9 cells connected To make 8 triangles Portions of 8 triangles overlapping center cell used for surface area Graphics courtesy of Jeff Jenness, Jenness Enterprises, and Pat Iampietro, CSU-MB

  13. Benthic Complexity Ardron and Wallace, in Wright and Scholz, Place Matters: Geospatial Tools for Marine Science… 2005

  14. Benthic Complexity Ardron and Wallace, in Wright and Scholz, Place Matters: Geospatial Tools for Marine Science… 2005

  15. Ecological Habitat Modeling GLM, GAM, classification/regression trees, etc. Iampietro, Kvitek et al., Marine Geodesy, 2008

  16. Bayesian Approaches Simons and Snellen, Applied Acoustics, 2009

  17. Classification Schemes: CMECS Coastal and Marine Ecological Classification Standard Madden et al., NatureServe, NOAA

  18. EUNIS eunis.eea.europa.net EEA/European Environmental Information Observation Network

  19. EUSeaMap EUNIS classification is a common language for habitat. Propose modifications to EUNIS where appropriate (Baltic or Med) Natalie Coltman, JNCC, UK, www.jncc.gov.uk/EUSeaMap

  20. EUSeaMap Methodology O2/POC/Chl Ice cover Natalie Coltman, JNCC, UK, www.jncc.gov.uk/EUSeaMap

  21. Geoscience Australia Heap, Nichol et al., AAG, 2008

  22. geohab.org

  23. marinecoastalgis.net

  24. Concluding Thoughts

  25. Thank you…

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