You are viewing the Initial Version, the most recent version of this dataset.
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Date of publication: June 28, 2023

Version 1

Date of publication: June 28, 2023

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Tropical Andes species richness by macrogroup

by Jose Valdez

This dataset focuses on the Tropical Andes region, specifically Colombia, Peru, Ecuador, and Bolivia, aiming to analyze species richness by macrogroup habitat type. The methodology involved utilizing recent (~2010) distribution maps of terrestrial ecosystem types as indicators for the study area. Natural terrestrial ecosystem types were defined at the macrogroup level according to the International Vegetation Classification (IVC). Species richnes ...(continue reading)

DOI 10.25829/8md3v9
Citation
Valdez, J. (2023). Tropical Andes species richness by macrogroup (Version 1) [Dataset]. German Centre for Integrative Biodiversity Research. https://doi.org/10.25829/8md3v9

Key Biodiversity AreasTAOIVCIUCN Species Richness

67
The title of the dataset. Tropical Andes 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 Tropical Andes region, specifically Colombia, Peru, Ecuador, and Bolivia, aiming to analyze species richness by macrogroup habitat type. The methodology involved utilizing recent (~2010) distribution maps of terrestrial ecosystem types as indicators for the study area. Natural terrestrial ecosystem types were defined at the macrogroup level according to the International Vegetation Classification (IVC). Species richness data for all birds, amphibians, and mammals were obtained, including counts for both overall species richness and threatened species within these groups, obtained from the International Union for Conservation of Nature (IUCN). The obtained species richness maps were overlaid with the macrogroup ecosystem maps to associate the data spatially. Zonal analyses were then conducted to determine the average species richness for each ecosystem type.
Provide the DOI number of associated publications. Click Plus to add DOIs.

N/A

The method of production of the original data.
Hover to see a suggestion for a minimum description. Natural terrestrial ecosystem types were defined at the macrogroup level (level 5) based on the International Vegetation Classification (IVC) system. Next, species richness maps were obtained from the International Union for Conservation of Nature (IUCN) spatial downloads available at https://www.iucnredlist.org/resources/other-spatial-downloads. These species richness maps were overlaid with the macrogroup ecosystem maps to establish spatial associations between the datasets. Zonal analyses were then conducted to calculate the average species richness for each ecosystem type.
The name of the Project.
The URL from the project website. https://geobon.org/about/projects/tao-tropical-andes-observatory/
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
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Please select the CC license from the list. We recommend the use of CC BY 4.0

Essential Biodiversity Variables

Select the EBV class and the EBV name for the dataset. For cross-cutting use the comment at the bottom of the page for further information.
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.
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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
meter
southWest lat: 1042823.3, lon: -2414939.5
northEast lat: 4923533.3, lon: 257160.5

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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__

Environmental domain *

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