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Inventory

(80)
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2018/26
(80)
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2009/17
(80)
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2004/06

Topic

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Proportion of sample plots that meet the forest definition of NFI, i.e. are covered by "forest without shrub forest" or "shrub forest".
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Classification

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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).
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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
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Sample plots with/without current recreational use within a radius of 100 m around the sample plot centre, classified according to visitor frequency as a measure of the intensity of recreational use. No recreational use: <10 persons/year; very low intensity: <1 person/day; low: 1-10 persons/day; moderate: 11-100 persons/day; high: 101-500 persons/day; very high: >500 persons/day based on the entire year or the relevant season, taking into account all types of recreational use. Reference: Forest Service Survey (MID 330: Intensität der aktuellen Erholungsnutzung)
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Area in/outside a forest that provides protection against avalanches which the cantons designated «protection forest» according to the harmonised criteria of SilvaProtect-CH in 2022. Reference: GIS data from FOEN, 2024
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Area in/outside a forest that provides protection against channel processes which the cantons designated «protection forest» according to the harmonised criteria of SilvaProtect-CH in 2022. Reference: GIS data from FOEN, 2022
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region

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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.
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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.
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Demarcation of Switzerland used in NFI for protection forest analyses. The six protection forest regions were derived from the economic regions by combining individual regions according to natural and statistical criteria.
(48)
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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.
(48)
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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.

evaluation area

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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.
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grid

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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).
(160)
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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: 240 entries on 14 pages
LFI5 2018/26
production region
proportion of forest plots
intensity of recreational use
accessible forest
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
economic region
proportion of forest plots
intensity of recreational use
accessible forest
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
protection forest region
proportion of forest plots
intensity of recreational use
accessible forest
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
canton
proportion of forest plots
intensity of recreational use
accessible forest
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
biogeographical region
proportion of forest plots
intensity of recreational use
accessible forest
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
production region
proportion of forest plots
seasonality of recreational use
accessible forest
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
economic region
proportion of forest plots
seasonality of recreational use
accessible forest
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
protection forest region
proportion of forest plots
seasonality of recreational use
accessible forest
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
canton
proportion of forest plots
seasonality of recreational use
accessible forest
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
biogeographical region
proportion of forest plots
seasonality of recreational use
accessible forest
1.4 km grid, subgrids 1-5
column total, %
LFI5 2018/26
production region
proportion of forest plots
altitudinal vegetation belts (NaiS; 6 classes)·area of largest gap (5 classes)
accessible forest
1.4 km grid, subgrids 1-5
column total, %
subtotal, %
LFI5 2018/26
economic region
proportion of forest plots
altitudinal vegetation belts (NaiS; 6 classes)·area of largest gap (5 classes)
accessible forest
1.4 km grid, subgrids 1-5
column total, %
subtotal, %
LFI5 2018/26
protection forest region
proportion of forest plots
altitudinal vegetation belts (NaiS; 6 classes)·area of largest gap (5 classes)
accessible forest
1.4 km grid, subgrids 1-5
column total, %
subtotal, %
LFI5 2018/26
canton
proportion of forest plots
altitudinal vegetation belts (NaiS; 6 classes)·area of largest gap (5 classes)
accessible forest
1.4 km grid, subgrids 1-5
column total, %
subtotal, %
search result: 240 entries on 14 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