You are viewing Version 3, the most recent version of this dataset.
3 version(s) available
Date of publication: December 8, 2022

Version 3

Date of publication: December 8, 2022

Type of change: Metadata

Description: update co-creator

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Habitat availability for African great apes

by Jessica Junker

This first continent-wide analysis models suitable environmental conditions (SEC) for African great ape survival over a 20-year period, assesses the relative importance of factors influencing SEC distribution, and quantifies rates of SEC loss over time. SEC is defined as a measure of environmental and human impact variables, including human population density, poverty, distance to roads, precipitation, temperature, distance to rivers, forest cove ...(continue reading)

DOI 10.25829/f2rdp4
Citation
Junker, J., Kühl, H. (2022). Habitat availability for African great apes (Version 3) [Dataset]. German Centre for Integrative Biodiversity Research. https://doi.org/10.25829/f2rdp4

ApesAfrica

7
The title of the dataset. Habitat availability for African great apes
The date on which this version of the data was created in YYYY-MM-DD format.
A paragraph describing the dataset.
Hover to see a suggestion for a good description. Allowed:
This first continent-wide analysis models suitable environmental conditions (SEC) for African great ape survival over a 20-year period, assesses the relative importance of factors influencing SEC distribution, and quantifies rates of SEC loss over time. SEC is defined as a measure of environmental and human impact variables, including human population density, poverty, distance to roads, precipitation, temperature, distance to rivers, forest cover and distance to forest nearby.
Provide the DOI number of associated publications. Click Plus to add DOIs.
https://doi.org/
10.1111/ddi.12005
The method of production of the original data.
Hover to see a suggestion for a minimum description. We extracted 15,051 presence localities collected between 1995 and 2010 from 68 different areas surveyed across the African ape range. We combined a maximum entropy algorithm and logistic regression to relate ape presence information to environmental and human impact variables from the 1990s with a resolution of 5x5 km across the entire ape range. We then made SEC projections for the 2000s using updated human impact variables.
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. jessica.junker@idiv.de
jessica.junker@idiv.de
The names of the co-creators responsible for creating this data. Click Plus to add co-creators.
Select between Creative Commons (CC) or Non-CC license.
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
degree
southWest lat: -9.1, lon: -16.3
northEast lat: 14.3, lon: 32.9

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