Simena luctifera
In 3 days ~20% in a week ~50%
| # | Park | Country | Daily sighting probability |
|---|---|---|---|
| 1 | Cerro Azul Meámbar National Park | 🇭🇳 Honduras | |
| 2 | Monteverde Cloud Forest Reserve | 🇨🇷 Costa Rica | |
| 3 | Tapantí-Macizo de la Muerte National Park | 🇨🇷 Costa Rica |
With luck
About 10% of wildlife watchers report a Simena luctifera sighting in Monteverde Cloud Forest Reserve on a given day, based on 23 verified sightings from GBIF citizen-science data from 2019 to 2026. It is the 116th most-seen of the 506 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 and October
In those months about 20% of wildlife watchers report a Simena luctifera in Monteverde Cloud Forest Reserve on a given day, against under 5% in January, the lowest month. Those are among Monteverde Cloud Forest Reserve's wettest months, with about 400 mm of rain a month against 45 mm in March.
Between 7 and 10 pm
Across all the parks we cover, that three-hour window holds the most Simena luctifera sightings with a recorded time, and about 8 in 10 of them come between 6 pm and 6 am: it is mostly seen at night.
Among the best
Of the 3 parks where we can rate Simena luctifera sightings, Monteverde Cloud Forest Reserve ranks 2nd at about 10%, level with the leaders once rounded. The best odds are in Cerro Azul Meámbar National Park (Honduras, about 10%).
Same family: Geometridae
The closest relatives of the Simena luctifera that you can see in Monteverde Cloud Forest Reserve (family Geometridae, Geometer Moths) are Oxydia trychiata (about 40%), Synnomos firmamentaria (about 30%) and Oospila venezuelata (about 30%), with each one's daily chance of a sighting.
GBIF citizen-science records
It is estimated from how often the Simena luctifera is recorded against all the insects logged in Monteverde Cloud Forest Reserve (23 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.
