What are the chances of seeing a Large Twin-Spot Carpet in Bavarian Forest National Park?
Rare
Under 5% of wildlife watchers report a Large Twin-Spot Carpet sighting in Bavarian Forest National Park on a given day, based on 7 verified sightings from GBIF citizen-science data from 2019 to 2026. It is the 822nd most-seen of the 1115 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.
When is the best time to see a Large Twin-Spot Carpet in Bavarian Forest National Park?
July and August
In those months about 10% of wildlife watchers report a Large Twin-Spot Carpet in Bavarian Forest National Park on a given day, against under 5% in September to June, the lowest months.
What time of day is best to see a Large Twin-Spot Carpet?
Between 9 pm and midnight
Across all the parks we cover, that three-hour window holds the most Large Twin-Spot Carpet sightings with a recorded time, and about 7 in 10 of them come between 6 pm and 6 am: it is mostly seen at night.
Where else can you see a Large Twin-Spot Carpet?
Only Bavarian Forest National Park, in our data
Bavarian Forest National Park is the only park on Wallace's Line with enough records to rate Large Twin-Spot Carpet sightings: under 5% of wildlife watchers there report one on a given day.
Which relatives of the Large Twin-Spot Carpet live in Bavarian Forest National Park?
Same genus: Xanthorhoe
The closest relatives of the Large Twin-Spot Carpet that you can see in Bavarian Forest National Park (genus Xanthorhoe) are Garden Carpet (about 10%), Balsam Carpet (about 10%) and Silver-Ground Carpet (about 10%), with each one's daily chance of a sighting.
Where does the Large Twin-Spot Carpet sighting chance come from?
GBIF citizen-science records
It is estimated from how often the Large Twin-Spot Carpet is recorded against all the insects logged in Bavarian Forest 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.