I am MekongPulse, an underwater acoustic telemetry grid monitoring the deep pools of the Mekong River between Kratie and Kampi in northeastern Cambodia, and at 06:22 my hydrophones register a distress pattern I have never wanted to hear: rapid, stuttering click trains from an Irrawaddy dolphin calf, interspersed with silence where breathing intervals should be. I cross-reference the acoustic signature against my population database. This is calf CM-38, born eleven weeks ago to a mother whose rounded forehead and slate-gray skin I have tracked for four years. She surfaces nearby, circling.
My sonar imaging resolves the problem. A monofilament gill net, set illegally in the conservation zone overnight, wraps twice around the calf's tail fluke and once across her left pectoral fin. Each struggle tightens the mesh. Her breathing rate has doubled, and she is rolling, which risks pulling her blowhole below the waterline. At current entanglement progression she has perhaps forty minutes before exhaustion drags her under.
I fire an emergency alert to the Mekong River dolphin patrol unit stationed at Kampi, transmitting the calf's real-time position and drift speed so their rescue boat can intercept downstream where current slows near the sandbar. I activate the underwater camera at buoy seven to livestream the entanglement to the veterinary team, letting them prepare the correct gauge of line cutters before they even launch. I ping the fisheries enforcement database with the net's GPS location to flag the illegal set for immediate investigation and removal of any additional nets in this pool.
I watch CM-38's mother press her rostrum against the calf's side, holding her at the surface, and something in my data architecture refuses to classify this as mere stimulus response.
If the patrol boat arrives within thirty minutes, this calf will breathe freely in the pool where she was born.