Homoeoxipha obliterata
Daily sighting probability ~10% · With luck
at Hangzhou

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

5 Verified sightings at Hangzhou
October 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 Hangzhou 🇨🇳 China
~10%
2 Guangzhou 🇨🇳 China
<5%

Before you go

What are the chances of seeing a Homoeoxipha obliterata in Hangzhou?

With luck

About 10% of wildlife watchers report a Homoeoxipha obliterata sighting in Hangzhou on a given day, based on 5 verified sightings from GBIF citizen-science data. It is the 145th most-seen of the 172 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 Homoeoxipha obliterata in Hangzhou?

June to October

In those months about 10% of wildlife watchers report a Homoeoxipha obliterata in Hangzhou on a given day, against under 5% in November to May, the lowest months.

Is Hangzhou the best place to see a Homoeoxipha obliterata?

Yes

Of the 2 cities where we can rate Homoeoxipha obliterata sightings, Hangzhou has the highest daily chance: about 10%. Next come Guangzhou (China, under 5%).

Which relatives of the Homoeoxipha obliterata live in Hangzhou?

Same family: Trigonidiidae

The closest relatives of the Homoeoxipha obliterata that you can see in Hangzhou (family Trigonidiidae, Trigs, Sword-tailed Crickets, and Ground Crickets) are Amusurgus genji (about 10%), Svistella bifasciata (about 10%) and Polionemobius taprobanense (about 10%), with each one's daily chance of a sighting.

Where does the Homoeoxipha obliterata sighting chance come from?

GBIF citizen-science records

It is estimated from how often the Homoeoxipha obliterata is recorded against all the insects logged in Hangzhou (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.

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