Timandra comae
In 3 days ~10% in a week ~30%
The blood-vein (Timandra comae) is a moth of the family Geometridae. The species was first described by Anton Schmidt in 1931. Wikipedia →
| # | Park | Country | Daily sighting probability |
|---|---|---|---|
| 1 | Białowieża National Park | 🇵🇱 Poland | |
| 2 | Wadden Sea National Park | 🇩🇪 Germany | |
| 3 | Bavarian Forest National Park | 🇩🇪 Germany | |
| 4 | Pyrénées National Park | 🇫🇷 France |
Rare
Under 5% of wildlife watchers report a Blood Vein sighting in Pyrénées National Park on a given day, based on 13 verified sightings from GBIF citizen-science data from 2019 to 2026. It is the 610th most-seen of the 1277 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.
April–May and July–September
In those months about 10% of wildlife watchers report a Blood Vein in Pyrénées National Park on a given day, against under 5% in June and October–March, the lowest months.
Between 11 pm and 2 am
Across all the parks we cover, that three-hour window holds the most Blood Vein sightings with a recorded time, and about half of them come between 6 pm and 6 am: it is seen both by day and at night.
4th of 4
Of the 4 parks where we can rate Blood Vein sightings, Pyrénées National Park ranks 4th at under 5%. The best odds are in Białowieża National Park (Poland, about 10%), Wadden Sea National Park (Germany, about 10%) and Bavarian Forest National Park (Germany, about 10%).
Same family: Geometridae
The closest relatives of the Blood Vein that you can see in Pyrénées National Park (family Geometridae, Geometer Moths) are Latticed Heath (about 10%), Common Heath (about 10%) and Willow Beauty (about 10%), with each one's daily chance of a sighting.
GBIF citizen-science records
It is estimated from how often the Blood Vein is recorded against all the insects logged in Pyrénées National Park (13 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.
