Summary
Coyotes pose a unique challenge at airports. Unlike most wildlife species, they are masters at navigating fences, learning patterns, and adapting to deterrents — and will follow vehicles directly through access gates. The danger is not primarily human-coyote conflict; it is the elevated risk of bird strikes from coyotes driving waterfowl and other birds onto runways during approach and landing windows.
Following years of standard management practices — hazing, trapping, and reactive removal — that produced little measurable improvement while continuously consuming budget, our team was engaged to develop and implement a fundamentally different program.
The Problem with Standard Approaches
Traditional airport coyote management is reactive: an animal is spotted, dispatch responds, an attempt is made to remove it. The cycle repeats. This model fails for several reasons:
- Coyotes are territorial. Remove a resident animal and transients move in within weeks.
- Hazing desensitizes. Animals quickly learn that pyrotechnics and vehicles represent no real threat.
- Perimeter fencing is never static. Airports have thousands of vehicle access points, drainage structures, and fence transitions that shift over time.
- No data means no trend. Without understanding population structure, you cannot distinguish between a manageable resident family group and an influx of transients.
Our Approach: Data First
The program we designed is built on population understanding, not reactive removal.
Phase 1 — Population Assessment
We deployed a camera network across the airport perimeter and airside to map coyote movement corridors, identify resident individuals, and understand denning locations and seasonal patterns. Sign surveys and systematic transects completed the picture.
This data revealed that the airport had a semi-stable resident coyote population using predictable corridors — and that several repeat fence-breach locations were responsible for the majority of airside incursions.
Phase 2 — Root Cause Mitigation
Rather than targeting animals, we addressed the structural vulnerabilities first. Culverts, drainage channels, and fence interface points were assessed and modified. Several high-traffic breach points were permanently closed.
Resident coyotes became predictable once their corridors were understood. Territory maps allowed the operations team to anticipate movement and schedule proactive checks during high-risk periods.
Phase 3 — Targeted Intervention Protocol
When a specific individual is confirmed as a repeat airside risk — through camera identification, not assumption — our predator team dispatches quickly and humanely removes that animal. The intervention is data-justified, documented, and does not trigger the territory vacuum that makes reactive removal counterproductive.
The Impact
The program has operated successfully for multiple years. Key outcomes:
- Airside coyote incursions reduced significantly within the first operating season
- Budget predictability improved — the program cost is consistent and auditable, versus the open-ended cost of reactive dispatch
- Operations staff gained capacity — trained in reading camera data and applying the tiered response protocol, reducing dependence on emergency contractor calls
- The methodology is exportable — we are working to make this program framework available to additional airports across Canada
A Note on Disclosure
Client and location details are protected under our contract terms. We are happy to discuss the general methodology, data architecture, and program structure in detail for qualified prospects.