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Lithuania Lithuania forest

Dainava Forest

Hugo.arg · Public domain

92% trees around it and 1 species recorded.

  • trees within 3 km92%
  • wild within 10 km97%
  • species recorded1
  • Altitude144 m

The forest around

92% 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 94%Grassland 6%Trees 92%Grassland 5%Wetland 3%Water 1%Trees 83%Grassland 11%Wetland 2%Water 3%Cropland 2%Trees 85%Grassland 8%Wetland 2%Water 2%Cropland 3%92%trees · 3 km

Trees, ring by ring

  • 0–1 km94%
  • 1–3 km92%
  • 3–6 km83%
  • 6–10 km85%

What covers the land (1–3 km)

  • Trees92%
  • Grassland5%
  • Wetland3%
  • Water1%
  • Cropland0%

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

1 species recorded.

The plants, fungi, birds and mammals people have recorded here most often.

Trommsdorffia maculata
Trommsdorffia maculataTrommsdorffia maculata3 recordsHerbarium of the University of Coimbra (COI) · CC BY 4.0

Open records within 5 km (GBIF, licensed for any use). Busy places are better recorded than remote ones.

In numbers

The forest, measured.

63out of 100

Our own rating, from open data only: tree cover (40 points), wildness (20), species recorded (30) and protection or heritage (10).

  • 92%Treesof the land within 3 km
  • 97%Wildno towns or farmland within 10 km
  • 1Speciesrecorded more than once within 5 km
  • 144 mAltitudeabove the sea

When to walk

Best for walking in May and in September.

How good each month is for a walk: mild days and little rain make the bar taller.

  1. Jan-3°-9°50 mm
  2. Feb-2°-8°40 mm
  3. Mar4°-4°42 mm
  4. Apr12°2°44 mm
  5. May18°8°70 mm
  6. Jun22°12°75 mm
  7. Jul24°14°93 mm
  8. Aug24°13°78 mm
  9. Sep18°8°52 mm
  10. Oct11°3°63 mm
  11. Nov4°0°53 mm
  12. Dec-1°-5°52 mm
  • Bar: walking comfort; the number on top is the average maximum.
  • Below: average minimum (NASA, 1991–2020).
  • Rain: monthly total.

The place

Dainava Forest.

Forest in Lithuania

Dainava Forest is a forest in Lithuania.

Seen from space, 92% of the land within 3 km is trees, and 97% of the land within 10 km has no towns or farmland.

1 species have been recorded around it: 1 plants, 0 fungi, 0 birds and 0 mammals.

The best time to walk is in May and in September.

Pelkėtas miškas, Musteikos apylinkės
Hugo.arg · Public domain

Get there and walk

  • Бераставіца (Смалакурня)campsite · 3.4 km · 31 within 10 km
  • Мини домик в лесуplace to stay · 4.4 km · 13 within 10 km
  • Ostrynanearest town · 17 km in a straight line
  • Vilnius International Airport (VNO)nearest airport with scheduled flights · 108 km in a straight lineCar hire at VNO airport (Vilnius)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.

Dainava Forest seen from above (Sentinel-2)
Seen from above: Sentinel-2 cloudless 2016 (EOX, CC BY 4.0), 6 × 6 km, north up. Points © OpenStreetMap contributors.

Around, in OpenStreetMap

  • 1shelters and huts within 6 km
  • 31campsites within 10 kmБераставіца (Смалакурня), Хуторок, На Берштах and 28 more
  • 13places to stay within 10 kmМини домик в лесу, Мини домик у озера, Домик у озера в д.Бершты and 10 more
  • marked trails within 5 km
  • named and notable trees within 6 km
  • picnic sites within 4 km
  • viewpoints within 5 km
  • visitor centres within 6 km
  • car parks within 3 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.

In our other atlases

Around Dainava Forest.

The mountains, lakes, rivers, waterfalls and canyons around this forest, the viewpoints above it, the birds and the night sky, in the family's atlases.

Lakeyas8 lakes within 15 km
Bierštaŭskaje1.4 km² · 3.9 kmOzero Beljasjka0.2 km² · 6.0 kmAntvoziera0.4 km² · 6.7 kmGrūda1.1 km² · 10 kmVieraŭskaje1.0 km² · 10 kmMaločnaje0.7 km² · 13 kmOzero Lokno0.3 km² · 14 kmBielaje6.7 km² · 15 km

Figures from the sister sites' databases (Wikidata, HydroATLAS, GeoNames, OpenStreetMap). Links open when each site is online.

Photographs

The forest, as people saw it.

Dainavos giria001
Hugo.arg · CC BY-SA 4.0
Varene springs
JonasS at Lithuanian Wikipedia · CC BY-SA 3.0
Išrūginio upelis, 2021
User:Hugo.arg · Public domain

Other forests nearby.

Dainava Forest

Lithuania

  • 63Forestyas Score
  • 92%Trees
  • 97%Wild
  • 1Species

Hrodzenskaja pušča

Belarus · 19 km

  • 74Forestyas Score
  • 72%Trees
  • 99%Wild
  • 122Species

See the guide

Augustów Primeval Forest

Belarus · 65 km

  • 79Forestyas Score
  • 90%Trees
  • 99%Wild
  • 93Species

See the guide

Rūdininkai Forest

Lithuania · 76 km

  • 79Forestyas Score
  • 98%Trees
  • 95%Wild
  • 127Species

See the guide

Where these figures come from

Name and typeWikidata (Q4154079) · CC0
Land coverESA WorldCover 10 m 2021 v200 · © ESA WorldCover project / Copernicus Sentinel data · CC BY 4.0
Species6 open records within 5 km (GBIF, CC0 and CC BY 4.0 only)
See these recordsgbif.org
Names and photosWikidata (CC0); GBIF Backbone Taxonomy · CC BY 4.0; Wikimedia Commons
AltitudeCopernicus DEM GLO-30 · © DLR e.V., © Airbus Defence and Space GmbH, Copernicus/ESA
Temperature and rainNASA POWER (CERES SYN1deg, 2001–2020; MERRA-2)
What is around© OpenStreetMap contributors · ODbL
ImagesEOX Sentinel-2 cloudless 2016 · CC BY 4.0; Wikimedia Commons
Sister atlasesLakeyas, Birdyas

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.