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

(281)
i
2018/26
(334)
i
2009/17
(187)
i
2004/07
(35)
i
1993/95
(20)
i
1983/85

Topic

(857)
i
Proportion of sample plots that meet the forest definition of NFI, i.e. are covered by "forest without shrub forest" or "shrub forest".
show more...

Classification

(31)
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 three classes. The variable represents a simplification of the NaiS altititudinal vegetation belts in six classes (NAISHSTKOMB6KL) in which the class «hyperinsubric and colline» is mearged with «submontane» to form the class «hyperinsubric, colline, submontane», the class «lower and upper montane» with «high montane» to form the class «montane» and the class «subalpine» with «upper subalpine» to form the class «subalpine». 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).
(176)
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).
(20)
i
Sample plots classified: «no», «one», «two» or «more than two» red wood ant-heaps in the 500 m² circle. Reference: Field Survey (MID 837: Ameisenhaufennummer)
(324)
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
(58)
i
Aspect, classified into the following five classes: North, East, South, West and indeterminate. «Indeterminate» means that the slope is ≤10%. Reference: Field Survey (MID 191: Azimut der Exposition)
show more...

region

(857)
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.
show more...

evaluation area

(54)
i
Area that meets the forest definition of the NFI, i.e. is «forest without shrub forest» or «shrub forest», and can be reached on foot.
(49)
i
Area accessible on foot that meets the NFI's definition of forest in both NFI4 (2009-2017) and NFI5 (2018-2026), i.e. was either «forest without shrub forest» or «shrub forest».
(202)
i
Forest of which less than two-thirds is covered with shrubs that can be accessed on foot.
(221)
i
Forest that was less than two-thirds covered with shrubs in the five inventories NFI1 (1983-1985), NFI2 (1993-1995), NFI3 (2004-2006), NFI4 (2009-2017) and NFI5 (2018-2026) and was accessible on foot.
(128)
i
Forest that was less than two-thirds covered with shrubs in both NFI4 (2009-2017) and NFI5 (2018-2026) and is accessible on foot.
show more...

grid

(590)
i
Sub-grids 1, 2, 3, 4 and 5 of the field surveys on the sampling grid with a mesh size of 1.4 km (base grid).
(267)
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: 857 entries on 48 pages
LFI5 2018/26
economic region
proportion of forest plots
ant-heaps
accessible forest without shrub forest
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
economic region
proportion of forest plots
ant-heaps
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
economic region
proportion of forest plots
ant-heaps
accessible forest without shrub forest NFI4/NFI5
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
economic region
proportion of forest plots
dry stone wall or pile of stones
accessible forest without shrub forest
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
economic region
proportion of forest plots
dry stone wall or pile of stones
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
economic region
proportion of forest plots
dry stone wall or pile of stones
accessible forest without shrub forest NFI4/NFI5
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
economic region
proportion of forest plots
extent of damage gaps (10 classes)
accessible forest without shrub forest
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
economic region
proportion of forest plots
extent of damage gaps (10 classes)
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
economic region
proportion of forest plots
extent of damage gaps (10 classes)
accessible forest without shrub forest NFI4/NFI5
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
economic region
proportion of forest plots
geomorphological object
accessible forest without shrub forest
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
economic region
proportion of forest plots
geomorphological object
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
economic region
proportion of forest plots
geomorphological object
accessible forest without shrub forest NFI4/NFI5
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
economic region
proportion of forest plots
human overuse and disturbance
accessible forest without shrub forest
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
economic region
proportion of forest plots
human overuse and disturbance
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
economic region
proportion of forest plots
human overuse and disturbance
accessible forest without shrub forest NFI4/NFI5
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
economic region
proportion of forest plots
inner edge
accessible forest without shrub forest
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
economic region
proportion of forest plots
inner edge
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
economic region
proportion of forest plots
inner edge
accessible forest without shrub forest NFI4/NFI5
1.4 km grid, subgrids 1-5
column total, %
search result: 857 entries on 48 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