
Brazil forest
São Francisco de Paula National Forest
NairaRegisdeMoura · CC BY-SA 4.0
76% trees around it and 602 species recorded.
- trees within 3 km76%
- wild within 10 km88%
- species recorded602
- Altitude899 m
The forest around
76% trees.
Read like the rings of a cut trunk: from the centre out, the land within 1, 3, 6 and 10 km, coloured by what covers it.
Trees, ring by ring
- 0–1 km96%
- 1–3 km73%
- 3–6 km41%
- 6–10 km44%
What covers the land (1–3 km)
- Trees73%
- Grassland21%
- Water0%
- Cropland6%
ESA WorldCover 2021 (10 m, from Sentinel satellites), sampled every 120 m. A clearing, a road or a lake counts as what it is.
Who lives here
602 species recorded.
The plants, fungi, birds and mammals people have recorded here most often.
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VU
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Open records within 5 km (GBIF, licensed for any use). Busy places are better recorded than remote ones.
In numbers
The forest, measured.
Our own rating, from open data only: tree cover (40 points), wildness (20), species recorded (30) and protection or heritage (10).
- 76%Treesof the land within 3 km
- 88%Wildno towns or farmland within 10 km
- 602Speciesrecorded more than once within 5 km
- 899 mAltitudeabove the sea
When to walk
Best for walking in May and in August.
How good each month is for a walk: mild days and little rain make the bar taller.
- Jan17°141 mm
- Feb17°128 mm
- Mar16°127 mm
- Apr14°103 mm
- May10°124 mm
- Jun9°115 mm
- Jul8°144 mm
- Aug9°125 mm
- Sep10°160 mm
- Oct13°156 mm
- Nov14°125 mm
- Dec16°123 mm
- Bar: walking comfort; the number on top is the average maximum.
- Below: average minimum (NASA, 1991–2020).
- Rain: monthly total.
The place
São Francisco de Paula National Forest.
National forest in Rio Grande do Sul
São Francisco de Paula National Forest is a forest in Brazil, 899 m above the sea.
Seen from space, 76% of the land within 3 km is trees, and 88% of the land within 10 km has no towns or farmland.
602 species have been recorded around it: 175 plants, 88 fungi, 309 birds and 30 mammals.
The most recorded plants are: Candelabra Tree, Loblolly Pine and Yerba mate.
The best time to walk is in May and in August.

Get there and walk
- São Francisco de Paulanearest town · 19 km in a straight line
- Hugo Cantergiani Regional Airport (CXJ)nearest airport with scheduled flights · 82 km in a straight lineCar hire at CXJ airport (Caxias Do Sul)Discover Cars · sponsored link↗
Plan the visit
A guided walk, a bed nearby, a car.
Some links above are affiliate links: if you book through them we may earn a commission, at no extra cost to you. It never changes what the data on this page says.
From above
The forest and its surroundings.
The satellite image of the 6 × 6 km around the place, with the trails, notable trees, picnic sites and huts that OpenStreetMap shows.

Around, in OpenStreetMap
- 2viewpoints within 5 km
- marked trails within 5 km
- named and notable trees within 6 km
- picnic sites within 4 km
- shelters and huts within 6 km
- visitor centres within 6 km
- car parks within 3 km
- campsites within 10 km
- places to stay within 10 km
- restaurants and cafés within 3 km
Counted in OpenStreetMap, the map anyone can edit. A low number may just mean nobody has mapped it yet.
Photographs
The forest, as people saw it.
Where these figures come from
| Name and type | Wikidata (Q10282890) · CC0 |
|---|---|
| Land cover | ESA WorldCover 10 m 2021 v200 · © ESA WorldCover project / Copernicus Sentinel data · CC BY 4.0 |
| Species | 25,556 open records within 5 km (GBIF, CC0 and CC BY 4.0 only) |
| See these records | gbif.org |
| Names and photos | Wikidata (CC0); GBIF Backbone Taxonomy · CC BY 4.0; Wikimedia Commons |
| Altitude | Copernicus DEM GLO-30 · © DLR e.V., © Airbus Defence and Space GmbH, Copernicus/ESA |
| Temperature and rain | NASA POWER (CERES SYN1deg, 2001–2020; MERRA-2) |
| What is around | © OpenStreetMap contributors · ODbL |
| Images | EOX Sentinel-2 cloudless 2016 · CC BY 4.0; Wikimedia Commons |
Every figure is an average, an estimate or a count from a public dataset. Licences and methods: data sources.
The family
Do you prefer beaches, lakes, mountains, waterfalls, islands, rivers, canyons, caves, dark skies, viewpoints, birdwatching or forests?
Same idea, other landscapes: field atlases built on open data, in seven languages.


