Erythromma najas
In 3 days ~20% in a week ~40%
Erythromma najas, the red-eyed damselfly, is a member of the Coenagrionidae family of damselflies. Wikipedia →
| # | Park | Country | Daily sighting probability |
|---|---|---|---|
| 1 | Biebrza National Park | 🇵🇱 Poland | |
| 2 | Bavarian Forest National Park | 🇩🇪 Germany | |
| 3 | Wadden Sea National Park | 🇩🇪 Germany |
| # | City | Country | Daily sighting probability |
|---|---|---|---|
| 1 | Novosibirsk | 🇷🇺 Russia | |
| 2 | Leeds | 🇬🇧 United Kingdom | |
| 3 | Birmingham | 🇬🇧 United Kingdom | |
| 4 | Brussels | 🇧🇪 Belgium | |
| 5 | Moscow | 🇷🇺 Russia | |
| 6 | Minsk | 🇧🇾 Belarus | |
| 7 | Rotterdam [The Hague] | 🇳🇱 Netherlands | |
| 8 | Copenhagen | 🇩🇰 Denmark | |
| 9 | Amsterdam | 🇳🇱 Netherlands | |
| 10 | Manchester | 🇬🇧 United Kingdom |
With luck
About 10% of wildlife watchers report a Red-Eyed Damselfly sighting in Brussels on a given day, based on 45 verified sightings from GBIF citizen-science data. It is the 99th most-seen of the 337 insects we can rate there. Over three days the chance rises to about 20%, and over a week to about 40%, if each day is a fresh chance.
May
In that month about 20% of wildlife watchers report a Red-Eyed Damselfly in Brussels on a given day, against under 5% in September to April, the lowest months.
Between 9 am and noon
Across all the parks we cover, that three-hour window holds the most Red-Eyed Damselfly sightings with a recorded time, and about 9 in 10 of them come between 6 am and 6 pm: it is a daytime animal.
Among the best
Of the 20 cities where we can rate Red-Eyed Damselfly sightings, Brussels ranks 4th at about 10%, level with the leaders once rounded. The best odds are in Novosibirsk (Russia, about 10%), Leeds (United Kingdom, about 10%) and Birmingham (United Kingdom, about 10%).
GBIF citizen-science records
It is estimated from how often the Red-Eyed Damselfly is recorded against all the insects logged in Brussels (45 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.
