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Topic
Classification
(10)
Altitude above sea level in classes of 400 m. Reference: Digital height model DHM 25 from Swisstopo
(24)
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). n/a: located above the forest boundary modelled by Zischg et al. and sometimes in the area of lakes, which were relatively roughly cut out by Zischg et al.
(8)
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)
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)
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)
region
(47)
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.
evaluation area
(47)
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 «protective forest» in 2022 according to the harmonised criteria of SilvaProtect-CH (Losey & Wehrli 2013).
grid
(47)
Sub-grids 1, 2, 3, 4 and 5 of 9 on the sampling grid with a mesh size of 1.4 km (base grid).
search result: 47 entries on 2 pages
12
LFI5 2018/26
production region
forest area
altitude (in 400 m classes)
protective forests (2022): forest NFI4/NFI5
1.4 km grid, subgrids 1–5 of 9
column total, %
1000 ha
LFI5 2018/26
production region
forest area
altitudinal vegetation belts (NaiS; 6 classes)
protective forests (2022): forest NFI4/NFI5
1.4 km grid, subgrids 1–5 of 9
column total, %
1000 ha
LFI5 2018/26
production region
forest area
forest type (12 classes)
protective forests (2022): forest NFI4/NFI5
1.4 km grid, subgrids 1–5 of 9
column total, %
1000 ha
LFI5 2018/26
production region
forest area
slope (in 20% classes)
protective forests (2022): forest NFI4/NFI5
1.4 km grid, subgrids 1–5 of 9
column total, %
1000 ha
LFI5 2018/26
production region
forest area
time of last treatment (in 10-year classes)
protective forests (2022): forest NFI4/NFI5
1.4 km grid, subgrids 1–5 of 9
column total, %
1000 ha
LFI5 2018/26
production region
forest area
altitudinal vegetation belts (NaiS; 6 classes)·degree of cover (aerial photo, 5 classes)
protective forests (2022): forest NFI4/NFI5
1.4 km grid, subgrids 1–5 of 9
column total, %
subtotal, %
1000 ha
LFI5 2018/26
production region
forest area
degree of cover (aerial photo, 5 classes)·altitudinal vegetation belts (NaiS; 6 classes)
protective forests (2022): forest NFI4/NFI5
1.4 km grid, subgrids 1–5 of 9
column total, %
subtotal, %
1000 ha
LFI5 2018/26
production region
forest area
slope (in 20% classes)·altitude (in 400 m classes)
protective forests (2022): forest NFI4/NFI5
1.4 km grid, subgrids 1–5 of 9
column total, %
subtotal, %
1000 ha
LFI5 2018/26
production region
forest area according to natural hazard / forest area
natural hazard
protective forests (2022): forest NFI4/NFI5
1.4 km grid, subgrids 1–5 of 9
column total, %
LFI5 2018/26
production region
proportion of forest plots
altitudinal vegetation belts (NaiS; 6 classes)·area of largest gap (5 classes)
protective forests (2022): forest NFI4/NFI5
1.4 km grid, subgrids 1–5 of 9
column total, %
subtotal, %
LFI5 2018/26
production region
proportion of forest plots
area of largest gap (5 classes)·altitudinal vegetation belts (NaiS; 6 classes)
protective forests (2022): forest NFI4/NFI5
1.4 km grid, subgrids 1–5 of 9
column total, %
subtotal, %
search result: 47 entries on 2 pages
12