A Maxent model predicted critical habitat for the Prairie Warbler in Eastern Georgian Bay, Ontario, using six standardized environmental variables. The model showed good performance, with distance to water and terrain ruggedness identified as primary contributors to habitat suitability. This dataset was created by Iris Dong and last updated in May 2026.
Use Cases
- Prioritizing conservation areas based on predicted habitat suitability for the Prairie Warbler.
- Analyzing the influence of landscape variables like distance to water and terrain ruggedness on species distribution.
- Creating habitat distribution maps to inform ecological protection and management policies.
- Comparing the relative contribution of greenness indices versus landscape features in habitat models.
Strengths
- Model is based on six specific environmental variables: distance to water, terrain ruggedness index, distances to road, NDVI standard deviation, green density, and land cover classification.
- All variables were standardized for extent, spatial resolution, and sample size using ArcGIS Pro.
- The study provides a clear finding that landscape variables had a dominant role over greenness variables in predicting suitability.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and spatial resolution are unknown, which may limit suitability assessment.
- The description does not specify the temporal coverage of the species presence or environmental data used.
Provenance
- Source
- Borealis Harvested Dataverse
- Collection Method
- Maximum Entropy Model (MaxEnt) applied to species presence data and environmental variables.
- Freshness
- Last updated 2026-05-02 04:11:11; freshness should be verified.
- Geography
- Eastern Georgian Bay, Ontario, Canada