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NFI5
biomass of stumps
altitudinal vegetation belts (NaiS; 10 classes)
regional demarcation: canton
unit: million kg
evaluation area: accessible forest without shrub forest
grid: 1.4 km grid, subgrids 1-5
state 2018/26
canton
AGAIARBEBL/BSFRGEGLGRJULUNENWOWSGSHSOSZTGTIURVDVSZGZHSwitzerland
altitudinal vegetation belts (NaiS; 10 classes)million kg±%million kg±%million kg±%million kg±%million kg±%million kg±%million kg±%million kg±%million kg±%million kg±%million kg±%million kg±%million kg±%million kg±%million kg±%million kg±%million kg±%million kg±%million kg±%million kg±%million kg±%million kg±%million kg±%million kg±%million kg±%million kg±%
n/a0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.
upper subalpine0.0.0.0.0.0.0.0.54220.0.0.0.0.0.0.0.0.0.4430.0.27360.0.8418
subalpine0.0.0.50290.0.0.671177150.0.0.0.4693760.0.01000.1935658647136190.0.40810
high-montane0.0.0.113210.14400.373386120.17532.1100144248510.0.14510.523125433132132163.0.8578
upper montane (N)0.18422536255131.79300.41394236173577271181710513245131240.2642129250.0.1841147192556194666512156
lower montane (N)20491.205436417375366300.4035643682610224622875128541172519397025175829400.271130207511449771813037
lower/upper montane (S)0.0.0.0.0.0.0.0.7530.0.0.0.0.0.0.0.0.0.21260.0.0.0.0.2724
submontane (N)165140.0.18614512442250.0.13403931872214410.77441423127422556473180.37476288474871151810045
colline with beech (S)0.0.0.0.0.0.0.0.0940.0.0.0.0.0.0.0.0.0.57290.0.0.0.0.5729
colline0.0.0.0.0.0.5600.3600.0.0.0.0.0.0.0.0.1.7870.27311330.2973227
hyperinsubric (S)0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.0.14590.0.0.0.0.1459
total185131940463196888926201165609024688812317284131951417368526341155022138161662110317174155425393113461041302011250013
© WSL, Swiss National Forest Inventory, 21.05.2024 #1245283/427033

Table citation

Abegg, M.; Ahles, P.; Allgaier Leuch, B.; Cioldi, F.; Didion, M.; Düggelin, C.; Fischer, C.; Herold, A.; Meile, R.; Rohner, B.; Rösler, E.; Speich, S.; Temperli, C.; Traub, B.,
2023: Swiss national forest inventory - Result table No. 1245283. Birmensdorf, Swiss Federal Research Institute WSL
https://doi.org/10.21258/1839125

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