Siberian Stonechat

Siberian Stonechat

Saxicola maurus

Silhouette: PhyloPic

Daily sighting probability ~10% · With luck
at Bandhavgarh National Park

In 3 days ~30% in a week ~60%

176 Verified sightings at Bandhavgarh National Park From 2019 to 2026
6,247 In all 17 parks
January Best month
☀️ Diurnal When it's spotted

About the Siberian Stonechat

The Siberian stonechat or Asian stonechat (Saxicola maurus) is a recently validated species of the Old World flycatcher family (Muscicapidae). Like the other thrush-like flycatchers, it was often placed in the Turdidae in the past. It breeds in the East Palearctic including in easternmost Europe and winters in the Old World tropics.

The Siberian stonechat was formally described in 1773 as Muscicapa maura by the German naturalist Peter Simon Pallas based on a specimen collected at Karassum near the Ishim River in western Siberia. The specific epithet is from Latin maura meaning "African" or "Moorish" (i.e. "black" or "dark"). The Siberian stonechat is now placed in the genus Saxicola that was introduced in 1802 by the German naturalist Johann Matthäus Bechstein. The genus name combines the Latin saxum, saxi meaning "stone" with -cola meaning "dweller" from colere meaning "to inhabit".

Six subspecies are recognised: Wikipedia →

Sounds

Call0:38

Kazakhstan · 2023

© Ding Li Yong · XC809429 · CC BY-NC-ND 4.0

Alarm call0:45

Mongolia · 2019

© Oscar Campbell · XC495371 · CC BY-NC-SA 4.0

Song1:24

Kazakhstan · 2014

© R. Martin · XC236691 · CC BY-NC-SA 4.0

Global Distribution

Parks Where Found

# Park Country Daily sighting probability
1 Kaziranga National Park 🇮🇳 India
~50%
2 Manas National Park 🇮🇳 India
~50%
3 Chitwan National Park 🇳🇵 Nepal
~40%
4 Jim Corbett National Park 🇮🇳 India
~30%
5 Royal Bardia National Park 🇳🇵 Nepal
~30%
6 Kanha National Park 🇮🇳 India
~20%
7 Satpura National Park 🇮🇳 India
~20%
8 Namdapha National Park 🇮🇳 India
~20%
9 Bandhavgarh National Park 🇮🇳 India
~10%
10 Keoladeo National Park 🇮🇳 India
~10%
11 Langtang National Park 🇳🇵 Nepal
~10%
12 Royal Manas National Park 🇧🇹 Bhutan
~10%
13 Ranthambore National Park 🇮🇳 India
~10%
14 Hemis National Park 🇮🇳 India
~10%
15 Gir National Park 🇮🇳 India
~10%
16 Periyar National Park 🇮🇳 India
<5%
17 Sundarbans National Park 🇮🇳 India
<5%

Cities Where Found

# City Country Daily sighting probability
1 Vasai-Virar 🇮🇳 India
~50%
2 Shymkent 🇰🇿 Kazakhstan
~40%
3 Chattogram 🇧🇩 Bangladesh
~30%
4 Kalyan-Dombivli 🇮🇳 India
~30%
5 Kathmandu 🇳🇵 Nepal
~30%
6 Novosibirsk 🇷🇺 Russia
~20%
7 Nashik 🇮🇳 India
~20%
8 Indore 🇮🇳 India
~10%
9 Almaty 🇰🇿 Kazakhstan
~10%
10 Bhopal 🇮🇳 India
~10%

Before you go

What are the chances of seeing a Siberian Stonechat in Bandhavgarh National Park?

With luck

About 10% of wildlife watchers report a Siberian Stonechat sighting in Bandhavgarh National Park on a given day, based on 176 verified sightings from GBIF citizen-science data from 2019 to 2026. It is the 100th most-seen of the 241 birds we can rate there. Over three days the chance rises to about 30%, and over a week to about 60%, if each day is a fresh chance.

When is the best time to see a Siberian Stonechat in Bandhavgarh National Park?

January–March and November

In those months about 20% of wildlife watchers report a Siberian Stonechat in Bandhavgarh National Park on a given day, against under 5% in April–June and September, the lowest months. Those are among Bandhavgarh National Park's driest months, with about 15 mm of rain a month against 400 mm in August.

What time of day is best to see a Siberian Stonechat?

Between 8 and 11 am

Across all the parks we cover, that three-hour window holds the most Siberian Stonechat 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 does the Siberian Stonechat sighting chance come from?

GBIF citizen-science records

It is estimated from how often the Siberian Stonechat is recorded against all the birds logged in Bandhavgarh National Park (176 verified sightings from 2019 to 2026), 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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