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Inventory

(104)
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2009/17–2018/26
(100)
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2004/06–2009/17
(100)
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1993/95–2004/06

Topic

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Stemwood volume of all trees and shrubs with a diameter at breast height (dbh) ≥12 cm with bark that died naturally between two inventories (e.g. due to windthrow or insects) or disappeared (e.g. due to avalanches), but that were not harvested. Mortality is the sum of natural losses and the remaining mortality.
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Classification

(36)
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Altitude above sea level in classes of 400 m. Reference: Digital height model DHM 25 from Swisstopo
(12)
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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).
(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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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)
(14)
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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

(304)
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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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evaluation area

(152)
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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.
(50)
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Forest that was less than two-thirds covered with shrubs and accessible on foot in both NFI2 (1993-1995) and NFI3 (2004-2006).
(50)
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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.
(52)
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Forest that was less than two-thirds covered with shrubs in both NFI4 (2009-2017) and NFI5 (2018-2026) and is accessible on foot.

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).
(100)
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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: 304 entries on 17 pages
LFI4–LFI5 2009/17–2018/26
protection forest region
mortality
altitude (in 400 m classes)
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
m³/ha/year
1000 m³/year
LFI4–LFI5 2009/17–2018/26
protection forest region
mortality
altitude (in 400 m classes)
accessible forest without shrub forest NFI4/NFI5
1.4 km grid, subgrids 1-5
m³/ha/year
1000 m³/year
LFI4–LFI5 2009/17–2018/26
protection forest region
mortality
altitudinal vegetation belts (NaiS; 10 classes)
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
m³/ha/year
1000 m³/year
LFI4–LFI5 2009/17–2018/26
protection forest region
mortality
altitudinal vegetation belts (NaiS; 10 classes)
accessible forest without shrub forest NFI4/NFI5
1.4 km grid, subgrids 1-5
m³/ha/year
1000 m³/year
LFI4–LFI5 2009/17–2018/26
protection forest region
mortality
altitudinal vegetation belts (NaiS; 6 classes)
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
m³/ha/year
1000 m³/year
LFI4–LFI5 2009/17–2018/26
protection forest region
mortality
altitudinal vegetation belts (NaiS; 6 classes)
accessible forest without shrub forest NFI4/NFI5
1.4 km grid, subgrids 1-5
m³/ha/year
1000 m³/year
LFI4–LFI5 2009/17–2018/26
protection forest region
mortality
conifers and broadleaves
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
m³/ha/year
1000 m³/year
LFI4–LFI5 2009/17–2018/26
protection forest region
mortality
conifers and broadleaves
accessible forest without shrub forest NFI4/NFI5
1.4 km grid, subgrids 1-5
m³/ha/year
1000 m³/year
LFI4–LFI5 2009/17–2018/26
protection forest region
mortality
degree of mixture (terrestrial)
accessible forest without shrub forest NFI1-NFI5
1.4 km grid, subgrids 1-5
column total, %/year
m³/ha/year
search result: 304 entries on 17 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