What are the chances of seeing a Long-Tailed Metalmark in Guatemala City?
With luck
About 10% of wildlife watchers report a Long-Tailed Metalmark sighting in Guatemala City on a given day, based on 5 verified sightings from GBIF citizen-science data. It is the 68th most-seen of the 87 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.
When is the best time to see a Long-Tailed Metalmark in Guatemala City?
January
In that month about 20% of wildlife watchers report a Long-Tailed Metalmark in Guatemala City on a given day, against under 5% in February–April, June–July and September–December, the lowest months. That is one of Guatemala City's driest months, with about 5 mm of rain against 240 mm in September.
What time of day is best to see a Long-Tailed Metalmark?
Between 10 am and 1 pm
Across all the parks we cover, that three-hour window holds the most Long-Tailed Metalmark sightings with a recorded time, and about 9 in 10 of them come between 6 am and 6 pm: it is a daytime animal.
Is Guatemala City the best place to see a Long-Tailed Metalmark?
7th of 9
Of the 9 cities where we can rate Long-Tailed Metalmark sightings, Guatemala City ranks 7th at about 10%. The best odds are in Tegucigalpa (Honduras, about 20%), Cali (Colombia, about 20%) and San Pedro Sula (Honduras, about 10%).
Which relatives of the Long-Tailed Metalmark live in Guatemala City?
Same order: Lepidoptera
The closest relatives of the Long-Tailed Metalmark that you can see in Guatemala City (order Lepidoptera, Butterflies and Moths) are Monarch (about 50%), Zebra Longwing (about 30%) and Black Witch (about 20%), with each one's daily chance of a sighting.
Where does the Long-Tailed Metalmark sighting chance come from?
GBIF citizen-science records
It is estimated from how often the Long-Tailed Metalmark is recorded against all the insects logged in Guatemala City (5 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.