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Ecological Marine Units:
A 3-D Mapping of the Ocean Based on
NOAA’s World Ocean Atlas
EBM Tools Network/OpenChannels Webinar
May 17, 2017
Dawn Wright, Chief Scientist, Environmental Systems Research Institute (aka Esri)
Affiliated Professor, Oregon State University
Roger Sayre, USGS Senior Scientist for Ecosystems, Climate and Land Use Change
Sean Breyer, Esri ArcGIS Content Program Manager
GEOSS Task EC-01-C1 (2014) / GI-14 GECO (2016)
Global Ecosystem Classification and Mapping
• Develop a standardized, robust, and practical global ecosystems
classification and map for the planet’s terrestrial, freshwater,
and marine ecosystems.
• Dr. Roger Sayre, USGS, Task Lead
• Esri is a partner, engaged in producing and hosting the content
• Secretary Sally Jewell at the GEO 2015 Plenary in Mexico City:
“The US Geological Survey and Esri will develop a new map of
standardized global marine ecosystems”
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
Ecological Marine Units (EMUs)
Who wants one?
 GEO & GEOSS (GEO BON MBON, GECO)
 Global Ocean Refuge System (GLORES)
 IUCN, WWF, CI, Mission Blue Sylvia Earle
Alliance
 FAO and ICES
 OOI and IOOS/GOOS
 Essential Ocean Variables community (e.g.,
World Climate Research Program)
 Researchers
 Educators
 Local agencies who want the global context
 Natl science agencies
 Editors of textbooks
Why?
• Ecosystem Health, Resilience, Ecosystem Goods & Services;
Ecosystem Services Valuation
• Nature Conservation Reporting
• Conservation planning
• Ecosystem Classification
• Ecosystem Based Management
• Fisheries Management
• Marine Data Management
• Indicating Species Distributions
• Explaining and Understanding Nature
• Risk Reduction
• Context: Local related to Global
• System Connectivity
EMUs:
• cover all the ocean
• are 3D
• are based on best available data
• are independent of political,
social and economic influence
• Promote further understanding of
how the environment structures
biodiversity (including fisheries,
threatened species, etc.)
How is this different from what exists?
Graphic courtesy of Mark Costello et al., U. of Auckland, New Zealand
Based on NOAA’s World Ocean Atlas 2013 v. 2
Nitrate
Silicate
Phosphate
Temperature*
Salinity
Dissolved Oxygen
Apparent Oxygen Utilization
Percent Oxygen Saturation
0 m
-5500 m
500 m
100 m
5 m
10 m
25 m
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/
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
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
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
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
WebApp livingatlas.arcgis.com/emu
MobileApp App Store (iOS) or Google Play (Android)
Do Our Depth Findings Support
Traditional Ocean Zonation Concepts?
Figure courtesy of Paul R. Pinet, Invitation to Oceanography, 5th ed., Jones and Bartlett Publishers
Paper for peer-reviewed journal Oceanography
Full Title:
A Three-Dimensional Mapping of the Ocean Based on Environmental Data
Short title:
A 3D Mapping of the Global Oceans
Author List
Roger G. Sayre1, Dawn J. Wright2, Sean P. Breyer2, Kevin A. Butler2, Keith Van Graafeiland2, Mark J. Costello3,
Peter T. Harris4, Kathleen L. Goodin5, John M. Guinotte6, Zeenatul Basher1, Maria T. Kavanaugh7, Patrick N.
Halpin8, Mark E. Monaco9, Noel Cressie10, Peter Aniello2, Charles E. Frye2, and Drew Stephens2.
1Land Change Science Program, United States Geological Survey, Reston, Virginia, United States of America
2Esri, Redlands, California, United States of America
3Institute of Marine Science, University of Auckland, Auckland, New Zealand
4GRID-Arendal, Arendal, Norway
5NatureServe, Arlington, Virginia, United States of America
6United States Fish and Wildlife Service, Denver, Colorado, United States of America
7Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, United States of America
8Nicholas School of the Environment, Duke University, Durham, North Carolina, United States of America
9National Ocean Service, National Oceanic and Atmospheric Administration, Silver Spring, Maryland, United States of America
10National Institute for Applied Statistics Research Australia, University of Wollongong, Wollongong, Australia
Ecological Marine Units (EMUs) at Depth
-400m
0m
-1200m
-2400m
-200m
-800m
-1800m
-3800m
Visualizing EMUs (Video)
Dissolved Oxygen
Ocean Currents
Barnier et al. Ocean Dynamics, 56: 543-567, 2006.
www.esri.com/ecological-marine-units
www.esri.com/ecological-marine-units
geonet.esri.com/groups/ecological-marine-units
Next Stages
ADDITIONAL DATA
On the Surface
OBIS
More ocean color
In Water Column
**Seasonal TEMPORAL WOA data
Particulate Organic Carbon
OBIS
On the Seafloor
Reef/Vents features
Sediment sizes
**In Your Own Study Area with higher-rez data
TOOLS
Viewer Tools
3D Web Viewer
3D Cross Section (Fence)
Analysis Tools
Compare Multiple Locations
Multidimensional Range Slider
3D Kriging
3D Geo Enrichment
www.esri.com/ecological-marine-units
esriurl.com/emudata
geonet.esri.com/groups/ecological-marine-units
www.aag.org/cs/global_marine_ecosystems
Sayre et al., 2017, Oceanography, 30(1): 90-103.
Nature News feature, 3 January 2017
Dawn Wright, dwright@esri.com, @deepseadawn
Extra Slides
EMU Data Products
Open Access
Ecological Marine Unit Explorer Web App
(Mobile App too)
3D Point Mesh (Download)
3D EMU Clusters Optimized (Download)
2D TopEMU (Download)
2D BottomEMU (Download)
Data Dictionary (Download)
Explorer App Source Code (Download)
EMU Data Sheets (Download)
Peer Reviewed Journal Article
USGS/AAG Peer-Reviewed Tech Report
Esri Platform Users
Connected
3D Point Mesh – 52M
3D EMU Clusters Optimized – 3.9M
2D TopEMU – 700K
2D BottomEMU – 700K
Data Dictionary
EMU Data Sheets
Explorer App
Offline
Map Packages
ArcGIS Pro Project
Data Dictionary
EMU Data Sheets
Comparison of Ecosystems (Colors) with Biogeographic Realms (Lines)
Do our EMUs correspond with biogeographic units?
(green arrows YES, black arrows NOT REALLY)
AmeriGEOSS/MBON Contribution
A Pole-to-Pole Map of Americas Marine Ecosystems
“Data Wrangling”
• Unified multidimensional data model
• netCDF, GRIB, and HDF formats
• Each variable is a multidimensional array
- Temperature at multiple times or depths
- Salinity at multiple times or depths
- Wind at multiple times
• Can store many variables (measures) in one file
“Data Wrangling”
We are currently using the Multidimensional Mosaic Dataset
• Add multiple variables
• Add from multiple files
• Normalize time dimension
• Normalize vertical dimensions
Aggregate data spatial, time and vertical dimension
WOA “Data Wrangling”
• netCDFs easily loaded into Mosaics for quick publication to server
• Each variable published as a separate service: e.g., T, S, Diss O2,
Silicate, Phosphate, Nitrate
• Available at 101 Depth Levels (Surface to Seafloor), 0 to 5,500 m
• Depth slider works in ArcGIS Online.
• Each variable published as a separate service!
- Including multiple variables in a single NetCDF would simplify things.
• Lack of a good set of 3d interpretation tools to conflate dataset to a
common 3d mesh.
Pro
Con

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Ecological Marine Units: A 3-D Mapping of the Ocean Based on NOAA’s World Ocean Atlas

  • 1. Ecological Marine Units: A 3-D Mapping of the Ocean Based on NOAA’s World Ocean Atlas EBM Tools Network/OpenChannels Webinar May 17, 2017 Dawn Wright, Chief Scientist, Environmental Systems Research Institute (aka Esri) Affiliated Professor, Oregon State University Roger Sayre, USGS Senior Scientist for Ecosystems, Climate and Land Use Change Sean Breyer, Esri ArcGIS Content Program Manager
  • 2. GEOSS Task EC-01-C1 (2014) / GI-14 GECO (2016) Global Ecosystem Classification and Mapping • Develop a standardized, robust, and practical global ecosystems classification and map for the planet’s terrestrial, freshwater, and marine ecosystems. • Dr. Roger Sayre, USGS, Task Lead • Esri is a partner, engaged in producing and hosting the content • Secretary Sally Jewell at the GEO 2015 Plenary in Mexico City: “The US Geological Survey and Esri will develop a new map of standardized global marine ecosystems”
  • 3. 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
  • 4. Ecological Marine Units (EMUs) Who wants one?  GEO & GEOSS (GEO BON MBON, GECO)  Global Ocean Refuge System (GLORES)  IUCN, WWF, CI, Mission Blue Sylvia Earle Alliance  FAO and ICES  OOI and IOOS/GOOS  Essential Ocean Variables community (e.g., World Climate Research Program)  Researchers  Educators  Local agencies who want the global context  Natl science agencies  Editors of textbooks Why? • Ecosystem Health, Resilience, Ecosystem Goods & Services; Ecosystem Services Valuation • Nature Conservation Reporting • Conservation planning • Ecosystem Classification • Ecosystem Based Management • Fisheries Management • Marine Data Management • Indicating Species Distributions • Explaining and Understanding Nature • Risk Reduction • Context: Local related to Global • System Connectivity
  • 5. EMUs: • cover all the ocean • are 3D • are based on best available data • are independent of political, social and economic influence • Promote further understanding of how the environment structures biodiversity (including fisheries, threatened species, etc.) How is this different from what exists? Graphic courtesy of Mark Costello et al., U. of Auckland, New Zealand
  • 6. Based on NOAA’s World Ocean Atlas 2013 v. 2 Nitrate Silicate Phosphate Temperature* Salinity Dissolved Oxygen Apparent Oxygen Utilization Percent Oxygen Saturation 0 m -5500 m 500 m 100 m 5 m 10 m 25 m 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/
  • 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 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. 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. 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
  • 11. MobileApp App Store (iOS) or Google Play (Android)
  • 12. Do Our Depth Findings Support Traditional Ocean Zonation Concepts? Figure courtesy of Paul R. Pinet, Invitation to Oceanography, 5th ed., Jones and Bartlett Publishers
  • 13. Paper for peer-reviewed journal Oceanography Full Title: A Three-Dimensional Mapping of the Ocean Based on Environmental Data Short title: A 3D Mapping of the Global Oceans Author List Roger G. Sayre1, Dawn J. Wright2, Sean P. Breyer2, Kevin A. Butler2, Keith Van Graafeiland2, Mark J. Costello3, Peter T. Harris4, Kathleen L. Goodin5, John M. Guinotte6, Zeenatul Basher1, Maria T. Kavanaugh7, Patrick N. Halpin8, Mark E. Monaco9, Noel Cressie10, Peter Aniello2, Charles E. Frye2, and Drew Stephens2. 1Land Change Science Program, United States Geological Survey, Reston, Virginia, United States of America 2Esri, Redlands, California, United States of America 3Institute of Marine Science, University of Auckland, Auckland, New Zealand 4GRID-Arendal, Arendal, Norway 5NatureServe, Arlington, Virginia, United States of America 6United States Fish and Wildlife Service, Denver, Colorado, United States of America 7Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, United States of America 8Nicholas School of the Environment, Duke University, Durham, North Carolina, United States of America 9National Ocean Service, National Oceanic and Atmospheric Administration, Silver Spring, Maryland, United States of America 10National Institute for Applied Statistics Research Australia, University of Wollongong, Wollongong, Australia
  • 14. Ecological Marine Units (EMUs) at Depth -400m 0m -1200m -2400m -200m -800m -1800m -3800m
  • 17. Ocean Currents Barnier et al. Ocean Dynamics, 56: 543-567, 2006.
  • 21. Next Stages ADDITIONAL DATA On the Surface OBIS More ocean color In Water Column **Seasonal TEMPORAL WOA data Particulate Organic Carbon OBIS On the Seafloor Reef/Vents features Sediment sizes **In Your Own Study Area with higher-rez data TOOLS Viewer Tools 3D Web Viewer 3D Cross Section (Fence) Analysis Tools Compare Multiple Locations Multidimensional Range Slider 3D Kriging 3D Geo Enrichment
  • 22. www.esri.com/ecological-marine-units esriurl.com/emudata geonet.esri.com/groups/ecological-marine-units www.aag.org/cs/global_marine_ecosystems Sayre et al., 2017, Oceanography, 30(1): 90-103. Nature News feature, 3 January 2017 Dawn Wright, dwright@esri.com, @deepseadawn
  • 24. EMU Data Products Open Access Ecological Marine Unit Explorer Web App (Mobile App too) 3D Point Mesh (Download) 3D EMU Clusters Optimized (Download) 2D TopEMU (Download) 2D BottomEMU (Download) Data Dictionary (Download) Explorer App Source Code (Download) EMU Data Sheets (Download) Peer Reviewed Journal Article USGS/AAG Peer-Reviewed Tech Report Esri Platform Users Connected 3D Point Mesh – 52M 3D EMU Clusters Optimized – 3.9M 2D TopEMU – 700K 2D BottomEMU – 700K Data Dictionary EMU Data Sheets Explorer App Offline Map Packages ArcGIS Pro Project Data Dictionary EMU Data Sheets
  • 25.
  • 26. Comparison of Ecosystems (Colors) with Biogeographic Realms (Lines) Do our EMUs correspond with biogeographic units? (green arrows YES, black arrows NOT REALLY)
  • 27. AmeriGEOSS/MBON Contribution A Pole-to-Pole Map of Americas Marine Ecosystems
  • 28. “Data Wrangling” • Unified multidimensional data model • netCDF, GRIB, and HDF formats • Each variable is a multidimensional array - Temperature at multiple times or depths - Salinity at multiple times or depths - Wind at multiple times • Can store many variables (measures) in one file
  • 29. “Data Wrangling” We are currently using the Multidimensional Mosaic Dataset • Add multiple variables • Add from multiple files • Normalize time dimension • Normalize vertical dimensions Aggregate data spatial, time and vertical dimension
  • 30. WOA “Data Wrangling” • netCDFs easily loaded into Mosaics for quick publication to server • Each variable published as a separate service: e.g., T, S, Diss O2, Silicate, Phosphate, Nitrate • Available at 101 Depth Levels (Surface to Seafloor), 0 to 5,500 m • Depth slider works in ArcGIS Online. • Each variable published as a separate service! - Including multiple variables in a single NetCDF would simplify things. • Lack of a good set of 3d interpretation tools to conflate dataset to a common 3d mesh. Pro Con