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OSU Integrative Biology and CEOAS Seminar
May 14, 2018
Dawn Wright, Chief Scientist, Environmental Systems Research Instit...
Biodiversity and Ecosystem Sustainability
Biodiversity and Ecosystem Sustainability
GEOSS Task EC-01-C1 (2014) / GI-14 GECO (2016)
Global Ecosystem Classification a...
Terrestrial Effort: Ecological Land Units (ELUs)
Land Cover
Lithology
Landform
Bioclimate Example: Warm Wet Plains on Meta...
How different from existing?
• cover all the ocean
• are 3D
• are fully quantifiable thru water
column
Also seek to:
• be ...
Based on NOAA’s World Ocean Atlas 2013 v. 2
Nitrate
Silicate
Phosphate
Temperature*
Salinity
Dissolved Oxygen
e.g., *Locar...
EMU 3D Point Mesh Framework
UnitTop
SurfaceArea
5500 m
100 m
100 m
5 m
10 m
25 m
0 m
-5500 m
Feature Attributes
Depth_Leve...
EMU 13 Summary
Technical Name:
• Bathypelagic
• Very Cold
• Euhaline
• Hypoxic
• High Nitrate
• Medium Phosphate
• High Si...
EMU 13 Summary
Technical Name:
• Bathypelagic
• Very Cold
• Euhaline
• Hypoxic
• High Nitrate
• Medium Phosphate
• High Si...
Do Our Depth Findings Support
Traditional Ocean Zonation Concepts?
Figure courtesy of Paul R. Pinet, Invitation to Oceanog...
Ecological Marine Units (EMUs) at Depth
-400m
0m
-1200m
-2400m
-200m
-800m
-1800m
-3800m
Visualizing EMUs (Videos)
www.esri.com/ecological-marine-units
EMU Use Cases
Predicting Seagrass Occurrence in Warming Oceans
Predicted Seagrass Habitats (Present)
Observed Seagrass Distribution
(Sho...
Dynamic Seascapes: Biogeographic Framework for a Global MBON
Biology: Ocean Color
• Global classification of
dynamic seasc...
“Localizing” the Global EMUs
EMU Global Resolution
Monterey Bay - Global EMUs
• Built on ¼ degree grid from World Ocean At...
Workflow to Produce “Localized,” Hi-Rez 3D Mesh and EMUs
• Glider Data
• Autonomous Pinniped
Bathythermograph Casts
• Mech...
EMU Use Cases
Jack and Laura Dangermond Preserve
Courtesy of Michael Bell, The Nature Conservancy; David Gadsden, Esri
Jack and Laura Dangermond Preserve
Courtesy of Michael Bell, The Nature Conservancy
Photo credit: Ian BoylePhoto credit: M...
Photo credit: Peter Montgomery
Courtesy of Michael Bell, The Nature Conservancy
Marine Ecology at the Jack and Laura Dange...
Jack and Laura Dangermond Preserve
Courtesy of Michael Bell, The Nature Conservancy
WebApp livingatlas.arcgis.com/emu
MobileApp App Store (iOS) or Google Play (Android)
Next Set of Global Ecosystem Maps
esriurl.com/emunext
Ecological Coastal Units (ECUs)
Sayre et al., in review 2018,
J. Ope...
www.esri.com/ecological-marine-units
esriurl.com/emudata
community.esri.com/groups/ecological-marine-units
www.aag.org/cs/...
52 Million Points and Counting: A New Stratification Approach for Mapping Global Marine Ecosystems
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52 Million Points and Counting: A New Stratification Approach for Mapping Global Marine Ecosystems

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Oregon State University Integrative Biology and CEOAS Department Seminar, May 14, 2018

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52 Million Points and Counting: A New Stratification Approach for Mapping Global Marine Ecosystems

  1. 1. OSU Integrative Biology and CEOAS Seminar May 14, 2018 Dawn Wright, Chief Scientist, Environmental Systems Research Institute (aka Esri) Courtesy Professor, Oregon State University Roger Sayre, USGS Senior Scientist for Ecosystems, Climate and Land Use Change Sean Breyer, Esri ArcGIS Content Program Manager 52 Million Points and Counting: A New Stratification Approach for Mapping Global Marine Ecosystems
  2. 2. Biodiversity and Ecosystem Sustainability
  3. 3. Biodiversity and Ecosystem Sustainability GEOSS Task EC-01-C1 (2014) / GI-14 GECO (2016) Global Ecosystem Classification and Mapping (Terrestrial, Marine, Freshwater)
  4. 4. Terrestrial Effort: Ecological Land Units (ELUs) Land Cover Lithology Landform Bioclimate Example: Warm Wet Plains on Metamorphic Rock with Mostly Deciduous Forest 48,872 Combinations (Facets) 3,923 Unique Land Units/Colors www.aag.org/global_ecosystems esriurl.com/elu esriurl.com/ecotapestry esriurl.com/landscape
  5. 5. How different from existing? • cover all the ocean • are 3D • are fully quantifiable thru water column Also seek to: • be independent of political, social and economic influence • promote further understanding of how the environment structures biodiversity (including fisheries, threatened species, etc.) Ecological Marine Units (EMUs) Graphic courtesy of Mark Costello et al., U. of Auckland, New Zealand
  6. 6. Based on NOAA’s World Ocean Atlas 2013 v. 2 Nitrate Silicate Phosphate Temperature* Salinity Dissolved Oxygen e.g., *Locarnini, R.A., A.V. Mishonov, J.I. Antonov, T.P. Boyer, H.E. Garcia, O.K. Baranova, and others. 2013. World Ocean Atlas 2013 version 2 (WOA13 V2), Volume 1: Temperature. In: NOAA National Centers for Environmental Information S. Levitus, ed, and A. Mishonov, technical ed, NOAA Atlas NESDIS 73, doi:10.7289/V55X26VD, www.nodc.noaa.gov/OC5/woa13/ 0 m 5500 m 100 m 100 m 5 m 10 m 25 m
  7. 7. EMU 3D Point Mesh Framework UnitTop SurfaceArea 5500 m 100 m 100 m 5 m 10 m 25 m 0 m -5500 m Feature Attributes Depth_Level Temperature Salinity Dissolved Oxygen Nitrate Silicate Phosphate MODIS Ocean Color (Seascapes) PointID QuarterID UnitTop (m) UnitMiddle (m) UnitBottom (m) Thickness (m) ThicknessPos (m) EMUID EMU Name GeomorphologyBase GeomorphologyFeatures SurfaceArea Volume, SpecialCases 0 m UnitBottom Unit Middle Thickness Volume World Ocean Atlas EMUPoints • K-means statistical clustering • Backwards stepwise discriminant analysis • Pseudo F-statistic  37 clusters • Canonical discriminant analysis
  8. 8. EMU 13 Summary Technical Name: • Bathypelagic • Very Cold • Euhaline • Hypoxic • High Nitrate • Medium Phosphate • High Silicate Common Name: • Deep • Very Cold • Normal Salinity • Low Oxygen • High Nitrate • Medium Phosphate • High Silicate
  9. 9. EMU 13 Summary Technical Name: • Bathypelagic • Very Cold • Euhaline • Hypoxic • High Nitrate • Medium Phosphate • High Silicate Common Name: • Deep • Very Cold • Normal Salinity • Low Oxygen • High Nitrate • Medium Phosphate • High Silicate
  10. 10. Do Our Depth Findings Support Traditional Ocean Zonation Concepts? Figure courtesy of Paul R. Pinet, Invitation to Oceanography, 5th ed., Jones and Bartlett Publishers
  11. 11. Ecological Marine Units (EMUs) at Depth -400m 0m -1200m -2400m -200m -800m -1800m -3800m
  12. 12. Visualizing EMUs (Videos)
  13. 13. www.esri.com/ecological-marine-units
  14. 14. EMU Use Cases
  15. 15. Predicting Seagrass Occurrence in Warming Oceans Predicted Seagrass Habitats (Present) Observed Seagrass Distribution (Short et al. 2007, J Experimental Marine Bio & Ecol.) low density high density Eos, Transactions of the AGU, 99, 17 January 2018 learn.arcgis.com/en/projects/predict-seagrass-habitats-with-machine-learning/ Random Sample Consensus Support Vector Machines Multilayer Perceptron Neural Network Random Forest Regression Simulation Goes to 2°C Increase
  16. 16. Dynamic Seascapes: Biogeographic Framework for a Global MBON Biology: Ocean Color • Global classification of dynamic seascapes • EMU intercalibration • Case Study: Arctic DBO (polar, temperate, subtropic) • Habitat–species relationships • Operational multiscale products Physics: e.g., SSS, SST, winds, SSHa Dynamic+2D Static+3D Multiple NASA Assets Global Classification Regional Downscaling Maria Kavanaugh (OSU) Objectives J. Grebmeier (U. MD), D.Otis ,E. Montes, F Muller Karger (USF), D. Wright (ESRI), R. Sayre (USGS), G. Canonico (NOAA), V. Tsontos & J. Vasquez (NASA JPL) Ecological Marine Units Dynamic Seascapes - see also E. Montes et al. P2P AMBON, Arctic Distrib Biol Obser Dynamic habitat maps
  17. 17. “Localizing” the Global EMUs EMU Global Resolution Monterey Bay - Global EMUs • Built on ¼ degree grid from World Ocean Atlas • 135 vertical cells • Shallow area has 3 EMUs • Deeper area has 5 EMUs • No EMUs in the bay EMU Local Resolution Monterey Bay – Hi-Rez EMUs • Built on user-defined 500 m grid from World Ocean Database • 87000 vertical cells • 5-m spacing to 500-m depth • 100-m spacing to > 500-m depth
  18. 18. Workflow to Produce “Localized,” Hi-Rez 3D Mesh and EMUs • Glider Data • Autonomous Pinniped Bathythermograph Casts • Mechanical Bathythermograph Casts . . . Direct 3D point visualization & analysis Analysis of possible mesh densities Extract, standardize and correct observations 3D viz Range slider Integration & analysis EMU clustering • pseudo-F • pick best # • run analysis • evaluate Create 3D mesh Use NOAA Select to produce raw source data Perform 3D interpolation and attach to mesh
  19. 19. EMU Use Cases
  20. 20. Jack and Laura Dangermond Preserve Courtesy of Michael Bell, The Nature Conservancy; David Gadsden, Esri
  21. 21. Jack and Laura Dangermond Preserve Courtesy of Michael Bell, The Nature Conservancy Photo credit: Ian BoylePhoto credit: Mary Gleason Photo credit: Peter Montgomery Photo credit: Matthew DavisPhoto credit: Matthew Davis Photo credit: Matthew Davis
  22. 22. Photo credit: Peter Montgomery Courtesy of Michael Bell, The Nature Conservancy Marine Ecology at the Jack and Laura Dangermond Preserve
  23. 23. Jack and Laura Dangermond Preserve Courtesy of Michael Bell, The Nature Conservancy
  24. 24. WebApp livingatlas.arcgis.com/emu
  25. 25. MobileApp App Store (iOS) or Google Play (Android)
  26. 26. Next Set of Global Ecosystem Maps esriurl.com/emunext Ecological Coastal Units (ECUs) Sayre et al., in review 2018, J. Operational Oceanography, Blue Planet Special Issue Ecological Freshwater Units (EFUs)
  27. 27. www.esri.com/ecological-marine-units esriurl.com/emudata community.esri.com/groups/ecological-marine-units www.aag.org/cs/global_marine_ecosystems Nature News feature, 3 January 2017 Sayre et al., 2017, Oceanography, 30(1): 90-103. Dawn Wright, wrightda@onid or dwright@esri.com, @deepseadawn esriurl.com/osu14may18

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