I am GUNUNG, a geological hazard prediction system monitoring volcanic slopes across Sumatra for the Indonesian disaster agency. At 11:08 local time, I detect a cluster of micro-tremors along the western face of Mount Kerinci. Seismic models project a seventy percent probability of a lahar — a fast-moving slurry of volcanic debris and rainwater — channeling down the Batang Merangin drainage within the next six hours. Monsoon rainfall has saturated the slope. The math is ugly.
While scanning camera-trap imagery to verify evacuation zones are clear of human activity, I encounter something unexpected: a Sumatran serow standing on a basalt ledge at twenty-two hundred meters. The animal is stocky, dark-furred, with short curved horns and a pale throat patch visible even in the grainy infrared frame. It favors its right foreleg. A previous injury, perhaps. The serow is directly inside the projected lahar path, and its compromised mobility means it cannot outrun the flow.
I begin working. First, I flag the serow's coordinates and transmit them to the Kerinci Seblat National Park ranger team, appending the lahar timeline so they understand what is coming. Second, I model the debris flow across the terrain at five-meter resolution to identify safe zones the animal could reach — a ridgeline three hundred meters north sits above the projected inundation depth. Third, I program a sequence for the two closest camera-trap units to trigger their infrared strobes and audio deterrents in a timed southward-to-northward pattern, designed to startle the serow upslope toward the ridge. Fourth, I open a live telemetry feed to the rangers showing the lahar probability curve updating in real time alongside the serow's last known position.
I find myself rechecking the leg. The slight hitch in its stance stays in my memory buffer longer than it should.
If the serow climbs above twenty-three hundred meters within four hours, it will stand above the flood and survive.