Kapok Longhorned Borer

Kapok Longhorned Borer

Glenea cantor

Daily sighting probability ~10% · With luck
at Guangzhou

In 3 days ~20% in a week ~30%

21 Verified sightings at Guangzhou
July Best month

About the Kapok Longhorned Borer

Glenea cantor is a species of beetle in the family Cerambycidae. It was described by Johan Christian Fabricius in 1787. It is known from the Philippines, Cambodia, Laos, Hong Kong, India, Bangladesh, Thailand, China, and Vietnam. Wikipedia →

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 Hong Kong 🇨🇳 China
~10%
2 Tuen Mun 🇨🇳 China
~10%
3 Guangzhou 🇨🇳 China
~10%

Before you go

What are the chances of seeing a Kapok Longhorned Borer in Guangzhou?

With luck

About 10% of wildlife watchers report a Kapok Longhorned Borer sighting in Guangzhou on a given day, based on 21 verified sightings from GBIF citizen-science data. It is the 139th most-seen of the 482 insects we can rate there. Over three days the chance rises to about 20%, and over a week to about 30%, if each day is a fresh chance.

When is the best time to see a Kapok Longhorned Borer in Guangzhou?

February, June–July and September–November

In those months about 10% of wildlife watchers report a Kapok Longhorned Borer in Guangzhou on a given day, against under 5% in March–May, August and December–January, the lowest months.

Is Guangzhou the best place to see a Kapok Longhorned Borer?

Among the best

Of the 3 cities where we can rate Kapok Longhorned Borer sightings, Guangzhou ranks 3rd at about 10%, level with the leaders once rounded. The best odds are in Hong Kong (China, about 10%) and Tuen Mun (China, about 10%).

Where does the Kapok Longhorned Borer sighting chance come from?

GBIF citizen-science records

It is estimated from how often the Kapok Longhorned Borer is recorded against all the insects logged in Guangzhou (21 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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