Selection from the list of topics

?help

your basket basket(0)

display result tabledisplay mapSelect a result from the list by clicking on one of the table or map symbols.

add to basketIf you would like to display more than one table or map at once, add it to the basket by clicking on the basket symbol. Repeat this until all tables you are interested in are selected. Afterwards open the basket and choose show all.

Filter Results

You can further limit your Results with filters. Hoovering over the info symbol i will display additional information.
Remove the filter by clicking on the filter again.

Filter Results

Inventory

(342)
i
2009/17
show more...

Topic

area
basal area
forest plots

Classification

(30)
i
Altitude above sea level in classes of 400 m. Reference: Digital height model DHM 25 from Swisstopo
(180)
i
Altitudinal vegetation belts in the system used in the guidelines for monitoring the sustainability and performance of protection forests (NaiS; Frehner et al. 2005), reduced to six classes. The variable represents a simplification of the NaiS altitudinal vegetation belts with ten classes (NAISHSTKOMB) in which the classes «hyperinsubric» and «colline» are merged with «colline with beech» to form the class «hyperinsubric and colline» and the class «lower montane» with «upper montane» and «lower/upper montane» to form the class «lower and upper montane». The information is based on the altitudinal vegetation belts determined by experts (accessible forest sample plots of NFI4 on the 1.4-km network; Arge Frehner et al. 2020), as well as on the altitudinal vegetation belts modelled for the period 1981-2010 (other sample plots; Zischg et al. 2021).
(24)
i
Sample plots without/with gaps ≥100 m² from canopy edge to canopy edge that intersect with the interpretation area (50 × 50 m), classified according to the area of the largest gap into five classes. Reference: aerial photo interpretation
(18)
i
Measure of inter-tree crowding of the tree crowns in a stand. Reference: Field Survey (MID 266: Schlussgrad)
(36)
i
Proportion of the ground area covered by tree crowns according to the aerial photo interpretation – in five 20-percent classes. The percentage is calculated using the 25 grid points on the interpretation area (50 × 50 m). Reference: aerial photo interpretation
show more...

region

(57)
i
Demarcation of Switzerland into five regions (Jura, Plateau, Pre-Alps, Alps and Southern Alps) with relatively uniform growth and timber production conditions. The production regions were established by the Federal Office of Forestry long before the first National Forest Inventory (NFI1, 1983-1985). With a small exception along Lake Geneva, the boundaries of the production regions still follow the municipal boundaries of the time. Unlike the NFI, the Forestry Statistics of the Federal Statistical Office don't use the production regions as demarcation but rather the forestry zones, whose boundaries are somewhat different.
(57)
i
Division of Switzerland into 14 regions (2 in the Jura, 3 on the Plateau, 3 in the Pre-Alps, 5 in the Alps and 1 in the Southern Alps). The economic regions are a subdivision of the production regions according to economic-geographical criteria.
(57)
i
Demarcation of Switzerland used in NFI for protective forest analyses. The six protective forest regions were derived from the economic regions by combining individual regions according to natural and statistical criteria.
(57)
i
Regional demarcation with the cantons as a unit, with the two half-cantons, Basel-Land and Basel-Stadt, combined into one canton for statistical reasons.
(57)
i
Demarcation of Switzerland into six regions with similar flora and fauna. The six regions correspond to the basic categories in the publication «The Biogeographical Regions of Switzerland», which was published by FOEN in 2022.
show more...

evaluation area

(342)
i
Accessible forest without shrub forest («a.f.w.s.f.»), i.e. forest that is less than two-thirds covered with shrubs and can be accessed on foot, which is situated in a forest that the cantons designated «protective forest» in 2022 according to the harmonised criteria of SilvaProtect-CH (Losey & Wehrli 2013).
show more...

grid

(342)
i
NFI's sampling grid with a mesh size of 1.4 km. The 1.4-km grid is the grid size covering all the previous terrestrial Inventories, which is why it is also called the base grid.
search result: 342 entries on 19 pages
LFI4 2009/17
production region
forest area
altitude (in 400 m classes)
protective forest (2022): a.f.w.s.f.
1.4-km grid
column total, %
1000 ha
LFI4 2009/17
economic region
forest area
altitude (in 400 m classes)
protective forest (2022): a.f.w.s.f.
1.4-km grid
column total, %
1000 ha
LFI4 2009/17
protective forest region
forest area
altitude (in 400 m classes)
protective forest (2022): a.f.w.s.f.
1.4-km grid
column total, %
1000 ha
LFI4 2009/17
canton
forest area
altitude (in 400 m classes)
protective forest (2022): a.f.w.s.f.
1.4-km grid
column total, %
1000 ha
LFI4 2009/17
biogeographical region
forest area
altitude (in 400 m classes)
protective forest (2022): a.f.w.s.f.
1.4-km grid
column total, %
1000 ha
LFI4 2009/17
forest district (2023)
forest area
altitude (in 400 m classes)
protective forest (2022): a.f.w.s.f.
1.4-km grid
column total, %
1000 ha
LFI4 2009/17
production region
forest area
altitudinal vegetation belts (NaiS; 6 classes)
protective forest (2022): a.f.w.s.f.
1.4-km grid
column total, %
1000 ha
LFI4 2009/17
economic region
forest area
altitudinal vegetation belts (NaiS; 6 classes)
protective forest (2022): a.f.w.s.f.
1.4-km grid
column total, %
1000 ha
LFI4 2009/17
protective forest region
forest area
altitudinal vegetation belts (NaiS; 6 classes)
protective forest (2022): a.f.w.s.f.
1.4-km grid
column total, %
1000 ha
search result: 342 entries on 19 pages

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 NFI. Result tables and maps of the NFI surveys 1983–2022 (NFI1, NFI2, NFI3, NFI4, NFI5.1–5) on the internet. [Published online 30.05.2023] Available from the World Wide Web <http://www.lfi.ch/resultate/> . Birmensdorf, Swiss Federal Research Institute WSL
https://doi.org/10.21258/1769925