Metriolagria affinis

Metriolagria affinis

Metriolagria affinis

Daily sighting probability <5% · Rare
at Melbourne

In 3 days ~10% in a week ~20%

11 Verified sightings at Melbourne
17 In all 2 parks From 2019 to 2026
February Best month
☀️ Diurnal When it's spotted

Global Distribution

Parks Where Found

# Park Country Daily sighting probability
1 Grampians National Park 🇦🇺 Australia
~10%
2 Great Otway National Park 🇦🇺 Australia
~10%

Cities Where Found

# City Country Daily sighting probability
1 Melbourne 🇦🇺 Australia
<5%

Before you go

What are the chances of seeing a Metriolagria affinis in Melbourne?

Rare

Under 5% of wildlife watchers report a Metriolagria affinis sighting in Melbourne on a given day, based on 11 verified sightings from GBIF citizen-science data. It is the 640th most-seen of the 875 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.

When is the best time to see a Metriolagria affinis in Melbourne?

Any time of year

In every month with enough records, under 5% of wildlife watchers report a Metriolagria affinis in Melbourne on a given day, so our monthly data shows no clear season.

What time of day is best to see a Metriolagria affinis?

Between 11 am and 2 pm

Across all the parks we cover, that three-hour window holds the most Metriolagria affinis sightings with a recorded time, and about 9 in 10 of them come between 6 am and 6 pm: it is a daytime animal.

Where else can you see a Metriolagria affinis?

Only Melbourne, in our data

Melbourne is the only city on Wallace's Line with enough records to rate Metriolagria affinis sightings: under 5% of wildlife watchers there report one on a given day.

Where does the Metriolagria affinis sighting chance come from?

GBIF citizen-science records

It is estimated from how often the Metriolagria affinis is recorded against all the insects logged in Melbourne (11 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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