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Inventory

(468)
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1993/95
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Topic

(468)
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Sum of the stem cross-sectional areas at a height of 1.3 m (level for measuring diameter at breast height [dbh]) of living trees and shrubs (standing and lying) with a dbh ≥12 cm.
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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) – in ten classes, whereby the classes «hyperinsubric», «colline» and «colline with beech» and «lower and upper montane» only occur in the Southern Alps (S), the classes «submontane», «lower montane», «upper montane» only in the Northern Alps (N) and the classes «high montane», «subalpine» and «upper subalpine» on both sides of the Alps. 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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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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Aspect, classified into the following nine classes: North, North-East, East, South-East, South, South-West, West, North-West and indeterminate. «Indeterminate» means that the slope is ≤10%. Reference: Field Survey (MID 191: Azimut der Exposition)
(96)
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Type of trees and shrubs ≥12 cm in diameter at breast height (dbh) in two classes (conifers or broadleaves). Reference: Field Survey (MID 50: Baumart)
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Stage of stand development, defined by the dominant diameter at breast height (dbhdom = dbh of the 100 largest [thickest] trees per hectare). Young growth/thicket: dbhdom <12 cm, pole timber: dbhdom 12-30 cm, young timber: dbhdom 31-40 cm, medium timber : dbhdom 41-50 cm, old timber: dbhdom >50 cm, mixed: trees of different development stages, no development stage predominant or groups of different development stages covering < 500 m². Reference: Field Survey (MID 261: Entwicklungsstufe)
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region

(78)
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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.
(78)
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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 protective forest analyses. The six protective forest regions were derived from the economic regions by combining individual regions according to natural and statistical criteria.
(78)
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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.
(78)
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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.
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evaluation area

(234)
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Forest of which less than two-thirds is covered with shrubs that can be accessed on foot.
(234)
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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.

grid

(234)
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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).
(234)
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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: 468 entries on 26 pages
LFI2 1993/95
production region
basal area
altitudinal vegetation belts (NaiS; 10 classes)
accessible forest without shrub forest
1.4-km grid
LFI2 1993/95
production region
basal area
altitudinal vegetation belts (NaiS; 10 classes)
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
LFI2 1993/95
economic region
basal area
altitudinal vegetation belts (NaiS; 10 classes)
accessible forest without shrub forest
1.4-km grid
LFI2 1993/95
economic region
basal area
altitudinal vegetation belts (NaiS; 10 classes)
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
LFI2 1993/95
protective forest region
basal area
altitudinal vegetation belts (NaiS; 10 classes)
accessible forest without shrub forest
1.4-km grid
LFI2 1993/95
protective forest region
basal area
altitudinal vegetation belts (NaiS; 10 classes)
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
LFI2 1993/95
canton
basal area
altitudinal vegetation belts (NaiS; 10 classes)
accessible forest without shrub forest
1.4-km grid
LFI2 1993/95
canton
basal area
altitudinal vegetation belts (NaiS; 10 classes)
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
LFI2 1993/95
biogeographical region
basal area
altitudinal vegetation belts (NaiS; 10 classes)
accessible forest without shrub forest
1.4-km grid
LFI2 1993/95
biogeographical region
basal area
altitudinal vegetation belts (NaiS; 10 classes)
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
LFI2 1993/95
forest district (2023)
basal area
altitudinal vegetation belts (NaiS; 10 classes)
accessible forest without shrub forest
1.4-km grid
LFI2 1993/95
forest district (2023)
basal area
altitudinal vegetation belts (NaiS; 10 classes)
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
LFI2 1993/95
production region
basal area
altitudinal vegetation belts (NaiS; 6 classes)
accessible forest without shrub forest
1.4-km grid
LFI2 1993/95
production region
basal area
altitudinal vegetation belts (NaiS; 6 classes)
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
LFI2 1993/95
economic region
basal area
altitudinal vegetation belts (NaiS; 6 classes)
accessible forest without shrub forest
1.4-km grid
LFI2 1993/95
economic region
basal area
altitudinal vegetation belts (NaiS; 6 classes)
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
LFI2 1993/95
protective forest region
basal area
altitudinal vegetation belts (NaiS; 6 classes)
accessible forest without shrub forest
1.4-km grid
LFI2 1993/95
protective forest region
basal area
altitudinal vegetation belts (NaiS; 6 classes)
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
search result: 468 entries on 26 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