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Introducing Global Biodiversity and Conservation Hexagons

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08-07-2025 01:59 PM
LisaBerry
Esri Contributor
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Achieving the conservation targets of 30×30 is an ambitious goal, and one that needs to be guided by data and stakeholder input. The Living Atlas is a great place to start that process with contributions from organizations like the U.N. World Conservation Monitoring Centre, Conservation International, and iNaturalist that can inform biodiversity and conservation planning.

And now that process is a bit easier.

Esri is applying a geographic approach to some key biodiversity and conservation data and information that were contributed to the Living Atlas by the GIS community.  Over 20 of the datasets are now summarized into 55 fields using multiscale, nested H3 hexagons. This StoryMap provides some more detail on them.

H3, developed by Uber, is a standard for mapping information, as it provides consistent and repeatable geographic units at multiple scales. Seven hexagons nest into the next largest level, and Esri processed 4 scale levels of summary information on these geographic units.

HexZoom.gif

The Global Hexagons for Biodiversity and Conservation group layer provides data at levels 2-5, which range from ~87,000 to 250 sq km. What datasets were used for the summaries?

World Database of Protected AreasSBTN Conservation Hotspots
Ocean Conservation PrioritiesBiodiversity Hotspots
Biodiversity IntactnessIUCN Red List
iNaturalist ObservationsEsri Sentinel-2 Land Use/Land Cover
World Seafloor GeomorphologyWorld Terrestrial Ecosystems
Land Cover Vulnerability to Change 2050Tree Canopy Height
Irrecoverable CarbonAbove and Below Ground Carbon Biomass
Terrain – Elevation, Slope, RoughnessGlobal Fishing Watch
Global Forest WatchWorldPop Population

 

Hexagonal Sources.png

For the full blog by @DanPisut and @KeithVanGraafeiland, visit this link.

Contributors
About the Author
I work as a Senior GIS Engineer and Evangelist for the ArcGIS Living Atlas of the World team. I work with demographic datasets in order to create useful, understandable, and detailed demographic maps available through the online platform. I specialize in ArcGIS Online cartography, Arcade, python, and smart mapping.