Eucereon coenobita
In 3 days ~80% in a week >90%
Eucereon coenobita is a moth of the subfamily Arctiinae. It was described by Heinrich Benno Möschler in 1886. It is found on Jamaica. Wikipedia →
| # | Park | Country | Daily sighting probability |
|---|---|---|---|
| 1 | Blue and John Crow Mountains National Park | 🇯🇲 Jamaica |
More parks will be added in future updates.
Likely
About 40% of wildlife watchers report a Eucereon coenobita sighting in Blue and John Crow Mountains National Park on a given day, based on 7 verified sightings from GBIF citizen-science data from 2019 to 2026. It is the 5th most-seen of the 11 insects we can rate there. Over three days the chance rises to about 80%, and over a week to over 90%, if each day is a fresh chance.
March
In that month about 70% of wildlife watchers report a Eucereon coenobita in Blue and John Crow Mountains National Park on a given day, against under 5% in February, the lowest month.
Between 7 and 10 pm
Across all the parks we cover, that three-hour window holds the most Eucereon coenobita sightings with a recorded time, and about 9 in 10 of them come between 6 pm and 6 am: it is mostly seen at night.
Only Blue and John Crow Mountains National Park, in our data
Blue and John Crow Mountains National Park is the only park on Wallace's Line with enough records to rate Eucereon coenobita sightings: about 40% of wildlife watchers there report one on a given day.
Same family: Erebidae
The closest relatives of the Eucereon coenobita that you can see in Blue and John Crow Mountains National Park (family Erebidae, Underwing, Tiger, Tussock, and Allied Moths) are Horama grotei (about 50%), Hypercompe nigriplaga (about 50%) and Cosmosoma auge (about 40%), with each one's daily chance of a sighting.
GBIF citizen-science records
It is estimated from how often the Eucereon coenobita is recorded against all the insects logged in Blue and John Crow Mountains National Park (7 verified sightings from 2019 to 2026), calibrated against known sighting rates. Figures are rounded to the nearest 10% because citizen-science data supports honest approximations, not decimals, and months with records from fewer than five people show "—". How it works.
