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To effectively manage species and habitats at multiple scales, land managers require rapid information on wildlife use of managed areas and responses to landscape conditions and management actions. Global positioning system (GPS) tracking studies of wildlife are particularly informative to species ecology, habitat use, and conservation. Combining GPS data with administrative data, would more comprehensively inform how animals interact with and utilize habitats and ecosystems. Our goal was to create a conceptual model for a system that would accomplish this – the ‘Automated Interactive Monitoring System (AIMS) for Wildlife’. Our first objective was to develop a Customized Wildlife Report (CWR) - the first AIMS for...
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