Mochlotona phasmatias
In 3 days ~10% in a week ~30%
Mochlotona is a monotypic moth genus in the family Geometridae. Its only species, Mochlotona phasmatias, is known from Australia. Both the genus and species were first described by Edward Meyrick in 1892. Wikipedia →
| # | Park | Country | Daily sighting probability |
|---|---|---|---|
| 1 | Blue Mountains National Park | 🇦🇺 Australia |
More parks will be added in future updates.
Rare
Under 5% of wildlife watchers report a Mochlotona phasmatias sighting in Blue Mountains National Park on a given day, based on 6 verified sightings from GBIF citizen-science data from 2019 to 2026. It is the 611th most-seen of the 789 insects we can rate there. Over three days the chance rises to about 10%, and over a week to about 30%, if each day is a fresh chance.
November to January
In those months about 10% of wildlife watchers report a Mochlotona phasmatias in Blue Mountains National Park on a given day, against under 5% in February to October, the lowest months.
Between 3 and 6 pm
Across all the parks we cover, that three-hour window holds the most Mochlotona phasmatias sightings with a recorded time, and about 7 in 10 of them come between 6 am and 6 pm: it is most active around dawn and dusk.
Only Blue Mountains National Park, in our data
Blue Mountains National Park is the only park on Wallace's Line with enough records to rate Mochlotona phasmatias sightings: under 5% of wildlife watchers there report one on a given day.
Same family: Geometridae
The closest relatives of the Mochlotona phasmatias that you can see in Blue Mountains National Park (family Geometridae, Geometer Moths) are Apple Looper (about 20%), Black Geometrid (about 10%) and Plantain Moth (about 10%), with each one's daily chance of a sighting.
GBIF citizen-science records
It is estimated from how often the Mochlotona phasmatias is recorded against all the insects logged in Blue Mountains National Park (6 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.
