Habitat Selection Data for Four European Large Herbivore Species

Training data for habitat selection models integrates animal tracking, environmental variables, and predator presence for European bison, moose, red deer, and roe deer. The dataset includes median greenness, forest disturbance history, and infrastructure metrics to model species-environment interactions. Columns suggest it supports analysis of how factors like temperature, land cover, and carnivore presence influence habitat use.

Use Cases

• Modeling habitat preference based on variables like greenness, tree cover, and ruggedness.
• Assessing the impact of forest disturbance agents and patch size on herbivore presence.
• Analyzing the influence of predator presence (wolf, bear, lynx) on herbivore occurrence.
• Investigating seasonal habitat use patterns using month and temperature (bio10, bio11) data.
• Evaluating the role of human factors like population density and transportation infrastructure.

Strengths

• Contains data for four distinct large herbivore species, enabling comparative analysis.
• Includes a detailed set of over 20 environmental and anthropogenic predictor variables.
• Licensed under CC-BY-4.0, permitting wide reuse with attribution.

Limitations

• The exact row count is not specified, making data scale unclear.
• Spatial coverage is limited to unspecified study sites within Europe.
• Metadata lacks information on the temporal range of the animal tracking recordings.

Provenance

Source

Julian Oeser

Collection Method

Likely derived from animal telemetry or tracking studies combined with remote sensing and GIS data.

Freshness

Last updated on 2026-03-19.

Geography

European study sites (specific locations not named).