Beekeepers occasionally face acute emergencies that demand fast, structured decisions: a sudden pile of dead bees at the hive entrance, a fast-spreading brood disease, or a colony that simply empties out over a few weeks. This simulation models three distinct emergency signatures around a 3D apiary so you can see how each one actually looks and how quickly a response matters.
A dead-bee pile of a few dozen at the entrance within a day or two is a strong pesticide-poisoning signal, while true Colony Collapse Disorder is defined partly by the absence of dead bees — the workers simply never return.
A 3D apiary that lets you trigger and compare three real acute beekeeping emergencies — pesticide poisoning, sudden disease outbreak and colony collapse disorder — then apply an emergency response and watch the outcome change.
Each scenario drives a different population-transition model: fast paralysis-and-die-off with a visible dead-bee pile for poisoning, slower bee-to-bee spread for disease, and silent, pile-free vanishing for colony collapse — matching how field responders actually distinguish these cases.
Pick a scenario and severity, watch the colony respond in real time, then toggle "Apply emergency response" to see how quickly intervention slows losses versus doing nothing. Reset to rerun with different settings.
A sudden pile of dozens of dead bees at the entrance is the classic acute-pesticide signature, while true Colony Collapse Disorder is defined in part by the near-total absence of dead bees — the workers simply never come home.