Rufous-bellied Niltava

Rufous-bellied Niltava

Niltava sundara

Least ConcernNear ThreatenedVulnerableEndangeredCritically Endangered
Insufficient data
overall probability at Kaziranga National Park
4 Verified records at Kaziranga National Park
🌅 Crepuscular When it's active at dawn and dusk

The rufous-bellied niltava (Niltava sundara) is a species of bird in the family Muscicapidae. It is found in Bangladesh, Bhutan, China, India, Laos, Myanmar, Nepal, Pakistan, Thailand, and Vietnam. Its natural habitats are subtropical or tropical moist lowland forest and subtropical or tropical moist montane forest. Rufous-bellied niltava measures 15–18 cm and weighs 19–24 g. It is a large, stocky and brightly coloured flycatcher with rounded head shape, fairly short tail and broad-based bill. Wikipedia →

📅 Monthly Probability

📊

Fewer than 5 records of Rufous-bellied Niltava at Kaziranga National Park — not enough to chart months honestly.

🌅 When They're Spotted

Most active at dawn and dusk · across all parks (global)

🌅Crepuscular
☀️🌙🌙12am6am12pm6pm12am

Global Distribution

Where this species is recorded worldwide. Restricted to human observations from 2019 onwards — the same kind of record and the same period the probabilities on this page are built from, so collar-tracking studies, camera-trap arrays and museum specimens are excluded. Around Santa Rosa that removes 5,924 GPS fixes from a handful of tagged jaguars.

where this species is recorded (GBIF density — it tracks where observers go, not how likely a sighting is)  ·  parks where it occurs — tap a pin for the sighting probability there

Parks Where Found

# Park Country Probability
1 Langtang National Park 🇳🇵 Nepal
10–20%
2 Khangchendzonga National Park 🇮🇳 India
10–20%
3 Doi Inthanon National Park 🇹🇭 Thailand
10–20%
4 Jim Corbett National Park 🇮🇳 India
5–10%
5 Namdapha National Park 🇮🇳 India
5–10%
6 Royal Manas National Park 🇧🇹 Bhutan
<5%
7 Hemis National Park 🇮🇳 India
<5%
8 Royal Bardia National Park 🇳🇵 Nepal
Insufficient data
9 Kaziranga National Park 🇮🇳 India
Insufficient data
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