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Inventory

(108)
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1983/85
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Topic

(108)
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Number of forest sample plots (Plots).
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Classification

(36)
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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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Areas in higher and lower altitude zones classified according to the system used for altitudinal vegetation belts in the guidelines for monitoring the sustainability and performance of protection forests (NaiS; Frehner et al. 2005). The boundary between the higher and lower altitudes runs between the «upper montane» and «lower montane» levels on the Northern Alps and between the «high montane» and «upper/lower montane» levels to the Southern 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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Forest ownership, classified according to the two categories: 'public' and 'private'. Reference: Forest Service Survey (MID 365: Eigentum)

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.
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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.
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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

(36)
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Forest of which less than two-thirds is covered with shrubs that can be accessed on foot.
(36)
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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.
(36)
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Area that meets the NFI's definition of 'forest', i.e. is «a forest without shrub forest» or «a shrub forest».

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).
(72)
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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: 108 entries on 6 pages
LFI1 1983/85
production region
sample size (number of forest plots)
altitudinal vegetation belts (NaiS; 6 classes)
accessible forest without shrub forest
1.4-km grid
column total, %
LFI1 1983/85
production region
sample size (number of forest plots)
altitudinal vegetation belts (NaiS; 6 classes)
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
column total, %
LFI1 1983/85
production region
sample size (number of forest plots)
altitudinal vegetation belts (NaiS; 6 classes)
forest
1.4-km grid
column total, %
LFI1 1983/85
economic region
sample size (number of forest plots)
altitudinal vegetation belts (NaiS; 6 classes)
accessible forest without shrub forest
1.4-km grid
column total, %
LFI1 1983/85
economic region
sample size (number of forest plots)
altitudinal vegetation belts (NaiS; 6 classes)
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
column total, %
LFI1 1983/85
economic region
sample size (number of forest plots)
altitudinal vegetation belts (NaiS; 6 classes)
forest
1.4-km grid
column total, %
LFI1 1983/85
protection forest region
sample size (number of forest plots)
altitudinal vegetation belts (NaiS; 6 classes)
accessible forest without shrub forest
1.4-km grid
column total, %
LFI1 1983/85
protection forest region
sample size (number of forest plots)
altitudinal vegetation belts (NaiS; 6 classes)
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
column total, %
LFI1 1983/85
protection forest region
sample size (number of forest plots)
altitudinal vegetation belts (NaiS; 6 classes)
forest
1.4-km grid
column total, %
search result: 108 entries on 6 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