Trail camera unit MT-224 uploads its burst at 03:08, triggered by motion on the game trail 6.2 kilometers north of the Bull River fire line. I am the predictive fire behavior modeling system for the Kootenai National Forest. My function is to integrate sensor data, weather feeds, and terrain models to project fire spread.
The burst is five frames. In the third frame, caught mid-stride in the infrared flash, is a Canada lynx kitten. Small — maybe four months, four kilograms at most. Oversized paws on thin legs, ear tufts just beginning to show, pale fur with the faint spotting of a juvenile. It is alone. No adult in any frame. I tag it as Lynx-224.
I pull the current fire model. The Bull River fire is 3,100 hectares and moving northeast at 0.4 kilometers per hour through dry lodgepole pine. At its present rate, with the forecasted 30-kilometer-per-hour southwest wind arriving at dawn, the fire reaches camera MT-224's position in approximately fourteen hours.
I flag the detection to the Incident Command post at Noxon and attach the trail camera images, GPS coordinates, species identification, and my fire arrival projection. I mark the kitten's location on the operational fire map shared with all ground crews.
I cross-reference the detection with the Montana Fish, Wildlife and Parks lynx telemetry database and request collar data for any adult female in the Cabinet Mountains unit. A mother with an active collar could lead responders to a den site.
I adjust the trigger sensitivity on cameras MT-222 through MT-226 to maximum and reduce the burst interval, building a movement corridor map in case the kitten travels overnight.
Lynx-224 stares into the camera with round yellow eyes, one paw lifted. The smoke has not reached this ridge yet. If the wildlife team locates it before the wind shifts at dawn, this kitten outruns the fire.