Aelia acuminata
In 3 days ~10% in a week ~30%
Aelia acuminata, common name bishop's mitre, is a species of shield bug belonging to the family Pentatomidae. Wikipedia →
| # | Park | Country | Daily sighting probability |
|---|---|---|---|
| 1 | Mercantour National Park | 🇫🇷 France | |
| 2 | Sierra Nevada National Park | 🇪🇸 Spain | |
| 3 | Cévennes National Park | 🇫🇷 France | |
| 4 | Bavarian Forest National Park | 🇩🇪 Germany | |
| 5 | Wadden Sea National Park | 🇩🇪 Germany | |
| 6 | Pyrénées National Park | 🇫🇷 France |
With luck
About 10% of wildlife watchers report a Bishop's Mitre Shield Bug sighting in Leeds on a given day, based on 8 verified sightings from GBIF citizen-science data. It is the 195th most-seen of the 284 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.
May and June
In those months about 10% of wildlife watchers report a Bishop's Mitre Shield Bug in Leeds on a given day, against under 5% in July to April, the lowest months.
Between 3 and 6 pm
Across all the parks we cover, that three-hour window holds the most Bishop's Mitre Shield Bug sightings with a recorded time, and about 8 in 10 of them come between 6 am and 6 pm: it is a daytime animal.
Among the best
Of the 27 cities where we can rate Bishop's Mitre Shield Bug sightings, Leeds ranks 17th at about 10%, level with the leaders once rounded. The best odds are in Birmingham (United Kingdom, about 10%), Lyon (France, about 10%) and Berlin (Germany, about 10%).
Same family: Pentatomidae
The closest relatives of the Bishop's Mitre Shield Bug that you can see in Leeds (family Pentatomidae, Stink Bugs) are Green Shield Bug (about 30%), Forest Bug (about 20%) and Sloe Bug (about 10%), with each one's daily chance of a sighting.
GBIF citizen-science records
It is estimated from how often the Bishop's Mitre Shield Bug is recorded against all the insects logged in Leeds (8 verified sightings), 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.
