You are viewing the Initial Version, the most recent version of this dataset.
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Date of publication: February 28, 2024

Version 1

Date of publication: February 28, 2024

Type of change:

Description:

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Americas species richness by macrogroup

by Lea Schulte

This dataset focuses on the Americas. Specifically, Southern Canada to South America. Maps show species richness per macrogroup in the Americas, utilizing terrestrial ecosystem data on macrogroup level and Area of Habitat (AOH) data for mammals and birds. Four maps available with values per macrogroup: (1) total species (2) threatened species (3) macrogroup-associated species (4) Conservation Priorization Index ...(continue reading)

Data: netCDF (85.55GB)
Metadata: ACDD (JSON) | EML (XML)

HabitatsSouth AmericaNorth AmericaCentral AmericaHabitat assessment

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The title of the dataset. Americas species richness by macrogroup
The date on which this version of the data was created in YYYY-MM-DD format.
A paragraph describing the dataset.
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This dataset focuses on the Americas. Specifically, Southern Canada to South America. Maps show species richness per macrogroup in the Americas, utilizing terrestrial ecosystem data on macrogroup level and Area of Habitat (AOH) data for mammals and birds. Four maps available with values per macrogroup: (1) total species (2) threatened species (3) macrogroup-associated species (4) Conservation Priorization Index
Provide the DOI number of associated publications. Click Plus to add DOIs.

N/A

The method of production of the original data.
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This dataset covers Southern Canada to South America. Natural terrestrial ecosystem types were defined at the macrogroup level according to the International Vegetation Classification (IVC), utilizing (~2010) data (Comer et al. 2020). Area of Habitat (AOH) data for birds and mammals was obtained from Lumbierres et al. (2022). The obtained AOH maps were overlaid with the macrogroup ecosystem maps to associate the data spatially to determine the average species richness for each ecosystem type. Macrogroup-association of species, was defined as a minimum of 50% of their AOH being in one macrogroup. Threatened species were determined using International Union for Conservation (IUCN) Red List data. Further, data on protected areas, obtained from the World Database of Protected Areas (WDPA), was overlayed with macrogroup data, to determine the average protection of each macrogroup. Projected land-use change of each macrogroup until 2030 was estimated using projections of future land-use of Chen et al. 2020. Finally, a Conservation Index was created, based on (1) threatened species (2) macrogroup-associated species (3) percent protection (4) projected land-use change.
The coverage content type describes the general content type of the resource (multiple selection possible).
The name of the Project.
The URL from the project website. N/A
The name of the person or other creator type principally responsible for creating this data.
The email of the person or other creator type principally responsible for creating this data. jose.valdez@idiv.de
jose_w.valdez@idiv.de
The names of the co-creators responsible for creating this data. Click Plus to add co-creators.
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Please select the CC license from the list. We recommend the use of CC BY 4.0

Essential Biodiversity Variables

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Genetic composition
Intraspecific genetic diversity
Genetic differentiation
Effective population size
Inbreeding
Other
Species populations
Species distributions
Species abundances
Other
Species traits
Morphology
Physiology
Phenology
Movement
Other
Community composition
Community abundance
Taxonomic and phylogenetic diversity
Trait diversity
Interaction diversity
Other
Ecosystem functioning
Primary productivity
Ecosystem phenology
Ecosystem disturbances
Other
Ecosystem structure
Live cover fraction
Ecosystem distribution
Ecosystem Vertical Profile
Other
Ecosystem services
Pollination
Other
Cross-cutting

Biological entity

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Species
Communities
Ecosystems
Other
None
A description of the range of taxa or ecosystem types addressed in the dataset. E.g. "300 species of mammals”, “Forests”, etc.
The reference as a URL. N/A

Metric

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Scenario

Spatial domain

Global
Continental/Regional
National
Sub-national/Local
Name of the continent/region/country/area, separated by comma
degree
southWest lat: -56.4, lon: -137.9
northEast lat: 65.2, lon: -22.7

Temporal domain

The targeted time period between each value in the dataset.
decadal
annually
monthly
weekly
daily
Other
Irregular
Single time
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When the dataset represents a Single time, then use the same start and end date.
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Environmental domain *

Terrestrial
Marine
Freshwater
Miscellaneous information about the data, not captured elsewhere. N/A