Global Marine Species Patterns (55km)
Global patterns of richness and average rarity for marine species, derived from habitat suitability indices from species distribution models. Cells have been clipped to GADM 3.6 coastline, and grid cells without ocean are not included.
This feature layer shows global patterns of richness and rarity for marine mammals and fishes. Values are summarized within an equal-area grid, with a grid cell area of ~3,025 km2 (approximately 55 km x 55 km in the tropics). This cell size represents the finest resolution at which currently available range map data can be used to accurately infer species presence without further habitat modeling (Hurlbert & Jetz, 2007).
Species rarity in this case refers to “average range-size rarity”, also called “range size rarity.” It is the average of the inverse global range sizes of species predicted to occur in a grid cell. Here rarity is expressed as a percentile (1-100%) from low to high.
Species richness is the number of species ranges estimated to overlap in each cell. Counts of species by taxa occurring in each grid cell are expressed as a percentile (1-100%) from low to high.
Layer attributes include average rarity of marine fish (Species rarity: fish) and mammal (Species rarity: mammals) species, marine fish (Species richness: fish) and mammal (Species richness: mammals) species richness, and average rarity (Species richness: all taxa) and richness (Species richness: all taxa) for both taxonomic groups. All values are expressed as percentiles (1-100%) from low to high.
Datasets available for download
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Global_Marine_Species_Patterns_(55km)Feature Layer
Layer 0 via ArcGIS REST API
Additional Info
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| Last Updated | March 24, 2026, 21:07 (UTC) |
| Created | March 24, 2026, 21:07 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Title
Title for the Dataset.
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Global Marine Species Patterns (55km) |
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Description
A description of the dataset.
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Global patterns of richness and average rarity for marine species, derived from habitat suitability indices from species distribution models. Cells have been clipped to GADM 3.6 coastline, and grid cells without ocean are not included. This feature layer shows global patterns of richness and rarity for marine mammals and fishes. Values are summarized within an equal-area grid, with a grid cell area of ~3,025 km2 (approximately 55 km x 55 km in the tropics). This cell size represents the finest resolution at which currently available range map data can be used to accurately infer species presence without further habitat modeling (Hurlbert & Jetz, 2007). Species rarity in this case refers to “average range-size rarity”, also called “range size rarity.” It is the average of the inverse global range sizes of species predicted to occur in a grid cell. Here rarity is expressed as a percentile (1-100%) from low to high. Species richness is the number of species ranges estimated to overlap in each cell. Counts of species by taxa occurring in each grid cell are expressed as a percentile (1-100%) from low to high. Layer attributes include average rarity of marine fish (Species rarity: fish) and mammal (Species rarity: mammals) species, marine fish (Species richness: fish) and mammal (Species richness: mammals) species richness, and average rarity (Species richness: all taxa) and richness (Species richness: all taxa) for both taxonomic groups. All values are expressed as percentiles (1-100%) from low to high. |
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Tags / Keywords
Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
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Dataset Size
Dataset size in megabytes.
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684520.0 |
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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Published Date
Published date of the dataset.
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2021-03-25 |
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Time Period Data Span (start date)
Start date of the data in the dataset.
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Time Period Data Span (end date)
End date of time data in the dataset.
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GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
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Identifier
Unique identifier for the dataset.
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bf2862f403b94411ac2428dc9c9bce03 |
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Language
Language(s) of the dataset
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English |
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Link to dataset description
A URL to an external document describing the dataset.
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https://climate.esri.ca/datasets/bf2862f403b94411ac2428dc9c9bce03 |
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Persistent Identifier
Data is identified by a persistent identifier.
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Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
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Contains data about individuals
Does the data hold data about individuals?
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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Portal Type
Platform type of the source portal.
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Version
Version of the datatset
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None |
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Source
Source of the dataset.
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None |
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Version notes
Version notes about the dataset.
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Is version of another dataset
Link to dataset that it is a version of.
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Other versions
Link to datasets that are versions of it.
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Provenance Text
Provenance Text of the data.
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Provenance URL
Provenance URL of the data.
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Temporal resolution
Describes how granular the date/time data in the dataset is.
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GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
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GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
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Community Permission
Community permission (who gave permission).
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
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Number of data rows
If tabular dataset, total number of rows.
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121187 |
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Number of data columns
If tabular dataset, total number of unique columns.
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20 |
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Number of data cells
If tabular dataset, total number of cells with data.
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2423740 |
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Number of data relations
If RDF dataset, total number of triples.
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Number of entities
If RDF dataset, total number of entities.
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Number of data properties
If RDF dataset, total number of unique properties used by the triples.
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Data quality
Describes the quality of the data in the dataset.
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Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
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