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Inventory

(4)
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2018/26
(4)
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2009/17
(4)
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2004/07

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

(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), 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).
(12)
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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

region

(12)
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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

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Accessible forest without shrub forest («a.f.w.s.f.»), i.e. forest that is less than two-thirds covered with shrubs and can be accessed on foot, which is situated in a forest that the cantons designated «protection forest» in 2022 according to the harmonised criteria of SilvaProtect-CH (Losey & Wehrli 2013).
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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).
(8)
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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: 12 entries on 1 page
LFI5 2018/26
protection forest region
proportion of forest plots
altitudinal vegetation belts (NaiS; 6 classes)·area of largest gap (5 classes)
protection forest (2022): a.f.w.s.f.
1.4 km grid, subgrids 1-5
column total, %
subtotal, %
LFI5 2018/26
protection forest region
proportion of forest plots
area of largest gap (5 classes)·altitudinal vegetation belts (NaiS; 6 classes)
protection forest (2022): a.f.w.s.f.
1.4 km grid, subgrids 1-5
column total, %
subtotal, %
LFI4 2009/17
protection forest region
proportion of forest plots
altitudinal vegetation belts (NaiS; 6 classes)·area of largest gap (5 classes)
protection forest (2022): a.f.w.s.f.
1.4-km grid
column total, %
subtotal, %
LFI4 2009/17
protection forest region
proportion of forest plots
area of largest gap (5 classes)·altitudinal vegetation belts (NaiS; 6 classes)
protection forest (2022): a.f.w.s.f.
1.4-km grid
column total, %
subtotal, %
LFI3 2004/07
protection forest region
proportion of forest plots
altitudinal vegetation belts (NaiS; 6 classes)·area of largest gap (5 classes)
protection forest (2022): a.f.w.s.f.
1.4-km grid
column total, %
subtotal, %
LFI3 2004/07
protection forest region
proportion of forest plots
area of largest gap (5 classes)·altitudinal vegetation belts (NaiS; 6 classes)
protection forest (2022): a.f.w.s.f.
1.4-km grid
column total, %
subtotal, %
search result: 12 entries on 1 page

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