Gazalina transversa
In 3 days ~20% in a week ~50%
Gazalina transversa is a moth of the family Notodontidae first described by Frederic Moore in 1879. It is found in Sikkim in India and in China. Wikipedia →
| # | Park | Country | Daily sighting probability |
|---|---|---|---|
| 1 | Khao Yai National Park | 🇹🇭 Thailand |
More parks will be added in future updates.
With luck
About 10% of wildlife watchers report a Gazalina transversa sighting in Khao Yai National Park on a given day, based on 6 verified sightings from GBIF citizen-science data from 2019 to 2026. It is the 149th most-seen of the 221 insects we can rate there. Over three days the chance rises to about 20%, and over a week to about 50%, if each day is a fresh chance.
September
In that month about 40% of wildlife watchers report a Gazalina transversa in Khao Yai National Park on a given day, against under 5% in November to August, the lowest months. That is one of Khao Yai National Park's wettest months, with about 330 mm of rain against 15 mm in December.
Between 7 and 10 am
Across all the parks we cover, that three-hour window holds the most Gazalina transversa 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 Khao Yai National Park, in our data
Khao Yai National Park is the only park on Wallace's Line with enough records to rate Gazalina transversa sightings: about 10% of wildlife watchers there report one on a given day.
Same order: Lepidoptera
The closest relatives of the Gazalina transversa that you can see in Khao Yai National Park (order Lepidoptera, Butterflies and Moths) are Magpie Crow Butterfly (about 40%), Paris Peacock Swallowtail (about 40%) and Common Bluebottle (about 30%), with each one's daily chance of a sighting.
GBIF citizen-science records
It is estimated from how often the Gazalina transversa is recorded against all the insects logged in Khao Yai 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.
