Ruddy Shelduck
Ruddy ShelduckRuddy ShelduckRuddy ShelduckRuddy Shelduck

Ruddy Shelduck

Tadorna ferruginea

Least ConcernNear ThreatenedVulnerableEndangeredCritically Endangered
Insufficient data
overall probability at Langtang National Park
1 Verified records at Langtang National Park
☀️ Diurnal When it's active during daytime hours (6am–6pm)

The ruddy shelduck (Tadorna ferruginea) is a bird species in the family Anatidae. It is a distinctive waterfowl, 58 to 70 cm (23 to 28 in) in length with a wingspan of 110 to 135 cm (43 to 53 in). It has orange-brown body plumage with a paler head, while the tail and the flight feathers in the wings are black, contrasting with the white wing-coverts. It is a migratory bird, wintering in the Indian subcontinent and breeding in southeastern Europe and central Asia, though there are small resident populations in North Africa. It has a loud honking call. The ruddy shelduck mostly inhabits inland water-bodies such as lakes, reservoirs and rivers. Wikipedia →

Closest Relatives at Langtang National Park

Mallard
LC

Mallard

☀️ Diurnal Bird

Anas platyrhynchos

Insufficient data
Common Teal
LC

Common Teal

☀️ Diurnal Bird

Anas crecca

Insufficient data
Northern Pintail
LC

Northern Pintail

☀️ Diurnal Bird

Anas acuta

Insufficient data
Bar-headed Goose
LC

Bar-headed Goose

☀️ Diurnal Bird

Anser indicus

Insufficient data

📅 Monthly Probability

📊

Fewer than 5 records of Ruddy Shelduck at Langtang National Park — not enough to chart months honestly.

☀️ When They're Spotted

Most active during daytime hours (6am–6pm) · across all parks (global)

☀️Diurnal
☀️🌙🌙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 Chitwan National Park 🇳🇵 Nepal
40–50%
2 Keoladeo National Park 🇮🇳 India
40–50%
3 Kaziranga National Park 🇮🇳 India
40–50%
4 Bale Mountains National Park 🇪🇹 Ethiopia
30–40%
5 Ranthambore National Park 🇮🇳 India
20–30%
6 Royal Bardia National Park 🇳🇵 Nepal
20–30%
7 Gobi Gurvansaikhan National Park 🇲🇳 Mongolia
20–30%
8 Sierra de Guadarrama National Park 🇪🇸 Spain
10–20%
9 Satpura National Park 🇮🇳 India
10–20%
10 Jim Corbett National Park 🇮🇳 India
5–10%
11 Hemis National Park 🇮🇳 India
5–10%
12 Bavarian Forest National Park 🇩🇪 Germany
<5%
13 Fertő-Hanság National Park 🇭🇺 Hungary
<5%
14 Bandhavgarh National Park 🇮🇳 India
<5%
15 Wadden Sea National Park 🇩🇪 Germany
<5%
16 Royal Manas National Park 🇧🇹 Bhutan
<5%
17 Doñana National Park 🇪🇸 Spain
<5%
18 Kanha National Park 🇮🇳 India
<5%
19 Pyrénées National Park 🇫🇷 France
<5%
20 Khangchendzonga National Park 🇮🇳 India
Insufficient data
21 Jiuzhaigou National Park 🇨🇳 China
Insufficient data
22 Hortobágy National Park 🇭🇺 Hungary
Insufficient data
23 Namdapha National Park 🇮🇳 India
Insufficient data
24 Langtang National Park 🇳🇵 Nepal
Insufficient data
25 Sundarbans National Park 🇮🇳 India
Insufficient data
26 Biebrza National Park 🇵🇱 Poland
Insufficient data
27 Monfragüe National Park 🇪🇸 Spain
Insufficient data
28 Vatnajokull National Park 🇮🇸 Iceland
Insufficient data
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