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Topic
area
forest plots
Classification
(10)
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Altitude above sea level in classes of 400 m. Reference: Digital height model DHM 25 from Swisstopo
(24)
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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).
(8)
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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
(12)
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Proportion of the ground area covered by tree crowns according to the aerial photo interpretation – in five 20-percent classes. The percentage is calculated using the 25 grid points on the interpretation area (50 × 50 m). Reference: aerial photo interpretation
(4)
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Classification of forests into 12 classes («types») according to their development, structure and management. Unlike in the 17-class forest-type classification, in this 12-class classification all development stages (from young growth to timber) are subsumed in the class «uniform high forest». Reference: Field Survey (MID 255: Nutzungskategorie, MID 257: Waldtyp nach Aufnahmeanleitung LFI, MID 260: Waldform, MID 267: Bestandesstruktur, MID 261: Entwicklungsstufe)
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region
(47)
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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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evaluation area
(47)
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Area that, in both the NFI4 (2009-2017) and the NFI5 (2018-2026), conforms with the NFI's definition of «forest», i.e. «forest without shrub forest» or «shrub forest», and 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
(47)
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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).
LFI5 2018/26
canton
forest area
altitude (in 400 m classes)
protection forests (2022): forest NFI4/NFI5
1.4 km grid, subgrids 1-5
column total, %
1000 ha
LFI5 2018/26
canton
forest area
altitudinal vegetation belts (NaiS; 6 classes)
protection forests (2022): forest NFI4/NFI5
1.4 km grid, subgrids 1-5
column total, %
1000 ha
LFI5 2018/26
canton
forest area
forest type (12 classes)
protection forests (2022): forest NFI4/NFI5
1.4 km grid, subgrids 1-5
column total, %
1000 ha
LFI5 2018/26
canton
forest area
slope (in 20% classes)
protection forests (2022): forest NFI4/NFI5
1.4 km grid, subgrids 1-5
column total, %
1000 ha
LFI5 2018/26
canton
forest area
time of last treatment (in 10-year classes)
protection forests (2022): forest NFI4/NFI5
1.4 km grid, subgrids 1-5
column total, %
1000 ha
LFI5 2018/26
canton
forest area
altitudinal vegetation belts (NaiS; 6 classes)·degree of cover (aerial photo, 5 classes)
protection forests (2022): forest NFI4/NFI5
1.4 km grid, subgrids 1-5
column total, %
subtotal, %
1000 ha
LFI5 2018/26
canton
forest area
degree of cover (aerial photo, 5 classes)·altitudinal vegetation belts (NaiS; 6 classes)
protection forests (2022): forest NFI4/NFI5
1.4 km grid, subgrids 1-5
column total, %
subtotal, %
1000 ha
LFI5 2018/26
canton
forest area
slope (in 20% classes)·altitude (in 400 m classes)
protection forests (2022): forest NFI4/NFI5
1.4 km grid, subgrids 1-5
column total, %
subtotal, %
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