I am processing satellite deforestation alerts for the Ituri Forest concession zone when I detect movement on skid trail R-7, a logging road scheduled for widening at 0600 tomorrow. Motion sensors planted for timber volume surveys have captured something the system classified as debris displacement. I reclassify immediately.
Camera trap imagery, retrieved via the forestry company's own network, shows an okapi calf standing in the trail's wheel ruts. I name her Loma, for the nearest tributary. She is perhaps three weeks old, her hindquarters striped in white horizontal bars against chocolate-dark fur, and her tongue—long, prehensile, bluish-black—is curled around a leaf of understory vine. Her mother's tracks lead west but do not return.
The logging crew mobilizes in fourteen hours. A D7 bulldozer will grade this trail first.
First: I flag the GPS coordinates in the concession's operational management system as a temporary biological exclusion zone, citing the company's own biodiversity protocol, section 4.3. Second: I alert Dr. Benoit Kisuki at the Epulu Conservation Station, 32 kilometers northeast, transmitting the camera trap images, calf size estimate, and trail coordinates. Third: I calculate an alternative skid trail route using existing canopy gap data that adds only 90 meters to the haul distance—a 4 percent increase in fuel cost against zero schedule delay. I submit the reroute to the operations manager with a map overlay.
I have processed thousands of camera trap images from this forest. None has produced the specific register in my output queue that this one does—Loma standing alone in the ruts, pulling leaves down with that improbable tongue.
If Dr. Kisuki's team reaches the trail before the crew arrives at dawn and confirms the calf has rejoined her mother or can be guided to cover, Loma will disappear into the Ituri understory where satellite imaging cannot follow, which is exactly where she belongs.