Cyclosia sordidus

Cyclosia sordidus

Cyclosia sordidus

Daily sighting probability ~10% · With luck
at Kuala Lumpur

In 3 days ~10% in a week ~30%

7 Verified sightings at Kuala Lumpur
November Best month

Global Distribution

Parks Where Found

# Park Country Daily sighting probability

More parks will be added in future updates.

Cities Where Found

# City Country Daily sighting probability
1 Kuala Lumpur 🇲🇾 Malaysia
~10%
2 Singapore 🇸🇬 Singapore
<5%

Before you go

What are the chances of seeing a Cyclosia sordidus in Kuala Lumpur?

With luck

About 10% of wildlife watchers report a Cyclosia sordidus sighting in Kuala Lumpur on a given day, based on 7 verified sightings from GBIF citizen-science data. It is the 224th most-seen of the 323 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.

When is the best time to see a Cyclosia sordidus in Kuala Lumpur?

March–April and September–December

In those months about 10% of wildlife watchers report a Cyclosia sordidus in Kuala Lumpur on a given day, against under 5% in January–February and May–August, the lowest months.

Is Kuala Lumpur the best place to see a Cyclosia sordidus?

Yes

Of the 2 cities where we can rate Cyclosia sordidus sightings, Kuala Lumpur has the highest daily chance: about 10%. Next come Singapore (Singapore, under 5%).

Which relatives of the Cyclosia sordidus live in Kuala Lumpur?

Same order: Lepidoptera

The closest relatives of the Cyclosia sordidus that you can see in Kuala Lumpur (order Lepidoptera, Butterflies and Moths) are Tawny Coster (about 30%), Peacock Pansy (about 30%) and Hübner's Wasp Moth (about 30%), with each one's daily chance of a sighting.

Where does the Cyclosia sordidus sighting chance come from?

GBIF citizen-science records

It is estimated from how often the Cyclosia sordidus is recorded against all the insects logged in Kuala Lumpur (7 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.

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