A predictive model of golden eagle distribution in Idaho and Montana, developed using a Resource Selection Functions approach. The model is based on satellite telemetry data from 6 eagles tracked between 1996 and 1998, created by SCIOPS from 5 environmental data layers. All analysis was completed in ArcView 3.3 using MARS and CART algorithms.
Use Cases
- Predicting golden eagle habitat suitability based on environmental layers like aspect, slope, and distance to rivers.
- Analyzing the influence of human infrastructure on eagle distribution using the derived road distance feature.
- Validating and refining the preliminary Resource Selection Function model with newer telemetry data.
- Assessing potential habitat overlap or conflict with land-use planning initiatives in the region.
Strengths
- Model integrates data from 5 distinct environmental data layers from authoritative sources like USGS and state GAP programs.
- Based on empirical movement data from 6 golden eagles tracked over a 3-year period (1996-1998).
Limitations
- Very small sample size of 6 individual eagles limits statistical power and generalizability.
- Model is described as preliminary and created at a relatively low spatial resolution.
- Data is temporally stale, with the last update in 1998, potentially not reflecting current conditions.
Provenance
- Source
- SCIOPS, utilizing data from state GAP programs, USGS, Snake River Field Station, and ESRI.
- Collection Method
- Satellite telemetry tracking of eagles, with environmental layers reformatted and merged in GIS.
- Time Range
- 1996-1998
- Freshness
- 1998-12-31
- Geography
- Idaho and Montana, USA