South American Coati

South American Coati

Nasua nasua

Least ConcernNear ThreatenedVulnerableEndangeredCritically Endangered
Insufficient data
overall probability at Serra da Canastra National Park

📅 Monthly Probability

📊

Fewer than 5 records of South American Coati at Serra da Canastra 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 Iguazú National Park 🇦🇷 Argentina
80–90%
2 Iguaçu National Park 🇧🇷 Brazil
80–90%
3 Tijuca National Park 🇧🇷 Brazil
40–50%
4 Podocarpus National Park 🇪🇨 Ecuador
20–30%
5 Serra dos Órgãos National Park 🇧🇷 Brazil
20–30%
6 Yasuní National Park 🇪🇨 Ecuador
10–20%
7 Tambopata National Reserve 🇵🇪 Peru
10–20%
8 Manu National Park 🇵🇪 Peru
0–10%
9 Cuyabeno Wildlife Reserve 🇪🇨 Ecuador
0–10%
10 Canaima National Park 🇻🇪 Venezuela
Insufficient data
11 Brownsberg Nature Park 🇸🇷 Suriname
Insufficient data
12 El Impenetrable National Park 🇦🇷 Argentina
Insufficient data
13 Parque Estadual Encontro das Águas 🇧🇷 Brazil
Insufficient data
14 Serra da Canastra National Park 🇧🇷 Brazil
Insufficient data
15 Sierra de la Macarena National Park 🇨🇴 Colombia
Insufficient data
16 Itatiaia National Park 🇧🇷 Brazil
Insufficient data
17 Madidi National Park 🇧🇴 Bolivia
Insufficient data
18 Chapada Diamantina National Park 🇧🇷 Brazil
Insufficient data
19 Los Nevados National Natural Park 🇨🇴 Colombia
Insufficient data
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