Olenecamptus bilobus
In 3 days ~10% in a week ~20%
Olenecamptus bilobus is a species of beetle in the family Cerambycidae. It was described by Johan Christian Fabricius in 1801, originally under the genus Saperda. It is known from Bhutan, Myanmar, India, Papua New Guinea, Indonesia, Laos, Seychelles, Madagascar, Australia, Sri Lanka, Japan, Sumatra, Java, Philippines and Taiwan. Wikipedia →
| # | Park | Country | Daily sighting probability |
|---|
More parks will be added in future updates.
| # | City | Country | Daily sighting probability |
|---|---|---|---|
| 1 | Jamshedpur | 🇮🇳 India | |
| 2 | Thiruvananthapuram | 🇮🇳 India | |
| 3 | Kochi | 🇮🇳 India | |
| 4 | Colombo [Sri Jayawardenepura Kotte] | 🇱🇰 Sri Lanka | |
| 5 | Bengaluru | 🇮🇳 India | |
| 6 | Guangzhou | 🇨🇳 China | |
| 7 | Singapore | 🇸🇬 Singapore | |
| 8 | Taipei | 🇹🇼 Taiwan |
Rare
Under 5% of wildlife watchers report a Cocoa Branch Borer sighting in Taipei on a given day, based on 7 verified sightings from GBIF citizen-science data. It is the 703rd most-seen of the 765 insects we can rate there. Over three days the chance rises to about 10%, and over a week to about 20%, if each day is a fresh chance.
Any time of year
In every month with enough records, under 5% of wildlife watchers report a Cocoa Branch Borer in Taipei on a given day, so our monthly data shows no clear season.
Between 8 and 11 pm
Across all the parks we cover, that three-hour window holds the most Cocoa Branch Borer sightings with a recorded time, and about half of them come between 6 pm and 6 am: it is seen both by day and at night.
8th of 8
Of the 8 cities where we can rate Cocoa Branch Borer sightings, Taipei ranks 8th at under 5%. The best odds are in Jamshedpur (India, about 30%), Thiruvananthapuram (India, about 10%) and Kochi (India, about 10%).
GBIF citizen-science records
It is estimated from how often the Cocoa Branch Borer is recorded against all the insects logged in Taipei (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.
