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Inventory

(230)
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2004/06–2009/17

Topic

(230)
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Stemwood volume of all trees and shrubs with a diameter at breast height (dbh) ≥12 cm with bark that were harvested, died or disappeared between two inventories.
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Classification

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Altitude above sea level in classes of 400 m. Reference: Digital height model DHM 25 from Swisstopo
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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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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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Proportions of conifers and broadleaves making up the stand structure, classified according to their proportional basal areas into four classes: pure conifer forest: 91-100 % conifers, mixed conifer forest: 51-90 % conifers, mixed broadleaved forest: 11-50 % conifers and pure broadleaved forest: 0-10 % conifers. Reference: Field Survey (MID 265: Mischungsgrad)
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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.
(46)
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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.

evaluation area

(230)
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Forest that was less than two-thirds covered with shrubs in both NFI3 (2004-2006) and NFI4 (2009-2017) and could be reached on foot.
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grid

(230)
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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: 230 entries on 13 pages
LFI3–LFI4 2004/06–2009/17
production region
fellings and mortality
altitude (in 400 m classes)
accessible forest without shrub forest NFI3/NFI4
1.4-km grid
m³/ha/year
1000 m³/year
LFI3–LFI4 2004/06–2009/17
economic region
fellings and mortality
altitude (in 400 m classes)
accessible forest without shrub forest NFI3/NFI4
1.4-km grid
m³/ha/year
1000 m³/year
LFI3–LFI4 2004/06–2009/17
protection forest region
fellings and mortality
altitude (in 400 m classes)
accessible forest without shrub forest NFI3/NFI4
1.4-km grid
m³/ha/year
1000 m³/year
LFI3–LFI4 2004/06–2009/17
canton
fellings and mortality
altitude (in 400 m classes)
accessible forest without shrub forest NFI3/NFI4
1.4-km grid
m³/ha/year
1000 m³/year
LFI3–LFI4 2004/06–2009/17
biogeographical region
fellings and mortality
altitude (in 400 m classes)
accessible forest without shrub forest NFI3/NFI4
1.4-km grid
m³/ha/year
1000 m³/year
LFI3–LFI4 2004/06–2009/17
production region
fellings and mortality
altitudinal vegetation belts (NaiS; 10 classes)
accessible forest without shrub forest NFI3/NFI4
1.4-km grid
m³/ha/year
1000 m³/year
LFI3–LFI4 2004/06–2009/17
economic region
fellings and mortality
altitudinal vegetation belts (NaiS; 10 classes)
accessible forest without shrub forest NFI3/NFI4
1.4-km grid
m³/ha/year
1000 m³/year
LFI3–LFI4 2004/06–2009/17
protection forest region
fellings and mortality
altitudinal vegetation belts (NaiS; 10 classes)
accessible forest without shrub forest NFI3/NFI4
1.4-km grid
m³/ha/year
1000 m³/year
LFI3–LFI4 2004/06–2009/17
canton
fellings and mortality
altitudinal vegetation belts (NaiS; 10 classes)
accessible forest without shrub forest NFI3/NFI4
1.4-km grid
m³/ha/year
1000 m³/year
search result: 230 entries on 13 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