Ontologia

Commune · FRA

Dangeul

France

CfbTemperate, no dry season, warm summer(100 %)

Area

14,3km²

Ecological tissue

Graphe en cours d’indexation

Calcul du tissu écologique de cette entité.

Le graphe apparaîtra automatiquement dès que le calcul est terminé (rafraîchissement toutes les 2s).

Species present

Computing species observations from GBIF…

Densité d'observations

0 obs · 0 cellules

Source : GBIF — observations agrégées par hexagones 0.2° × 0.2° (~22km), filtre précision coordonnée < 10 km. Fond carte : OpenFreeMap · © OpenStreetMap.

Climate

Mean T°

11,3°C

Annual rain

734mm

Warmest m°

23,3°C

Coldest m°

1,6°C

Elevation: 78 m on average (min 63 m, max 90 m)

Bioclimatic detailsExpert
Annual mean temp.
11,3°C
Annual rain
734mm
Warmest month
23,3°C
Coldest month
1,6°C
Mean alt.
78m
Min
63m
Max
90m
Std. dev.
7m
Köppen-Geiger (dominant)
CfbTemperate, no dry season, warm summer(100 %)Temperate

CHELSA BIO 1-19 v2.1 · ETOPO DEM 60s · Köppen-Geiger 1991-2020 (Beck et al. 2018)

Soil & lithology

pH H₂O

6,4

Org. C

25,6g/kg

Clay

24,4%

Sand

34,9%

Silt

40,7%

Average over 0-30 cm. Per-depth details in expert panel.

Dominant lithology: scGLiMaggregated to Sarthe

3 soil depths detailedExpert
0–5 cm
pH H₂O
6,3
Org. C
40,8g/kg
Clay
23,8%
Sand
35,3%
Silt
40,9%
5–15 cm
pH H₂O
6,5
Org. C
20,3g/kg
Clay
24,1%
Sand
34,8%
Silt
41,0%
15–30 cm
pH H₂O
6,5
Org. C
15,6g/kg
Clay
25,3%
Sand
34,5%
Silt
40,2%

SoilGrids 250m (ISRIC, 2017) · GLiM v1.0 (Hartmann & Moosdorf 2012)

Land cover

Forest5.5%
Crops75.5%
Built-up0.9%
Bare soil0.7%
Other (grassland, water…)17.5%

Copernicus Global Land Cover 100m (Buchhorn et al. 2020)

Hydrology

Computing basins, lakes, rivers…

Human pressure

Pop. density

0hab/km²

Built-up

87,2%

Pesticides

44,0kg/km²

GHSL POP/Built 2020 · VIIRS lumière nocturne · PEST-CHEMGRIDS 2020 (Maggi et al.)

France-specific data (Phase 2)

ZNIEFF, Natura 2000, INPN protected spaces, BNV-D pesticides, Naïades water quality, SAFRAN fine climate, BRGM lithology — Layer FR to load in Phase 2.