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growing stock (stemwood) #21
Stemwood volume of living trees and shrubs (standing and lying) with a diameter at breast height (dbh) ≥12 cm with bark.

altitudinal vegetation belts (NaiS; 6 classes) #2633
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).

main tree species #90
Type of trees and shrubs ≥12 cm in diameter at breast height (dbh) with the ten most common species or species groups in Switzerland ('main tree species') categorised, and the classes 'other conifers' and 'other broadleaves' for the remaining species. The main tree species are: spruce (Picea spp.), fir (Abies spp.), pine (Pinus sylvestris, P. nigra, P. strobus, P. mugo subsp. uncinata), larch (Larix spp.), Arolla pine (Pinus cembra), beech (Fagus sylvatica), maple (Acer spp.), ash (Fraxinus spp.), oak (Quercus spp.) and chestnut (Castanea sativa). Reference: Field Survey (MID 50: Baumart)

canton #827
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.

accessible forest without shrub forest #434
Forest of which less than two-thirds is covered with shrubs that can be accessed on foot.

1.4 km grid, subgrids 1-5 #1746
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).

Estimates and standard error of the estimates

The results published in the NFI tables are estimates for variables in the Swiss forest (population parameters) whose true values are not known and must therefore be extrapolated (estimated) from the NFI sample data.

The extrapolations carry uncertainties. However, the accuracy of the extrapolations can be reliably estimated from the NFI sample, which is designed to be a random sample. To this end, all NFI tables include a second figure in addition to the estimate itself, namely the standard error of the estimate.

In most tables the percent standard error is reported (±%), but the absolute standard error (±) is also reported occasionally, especially for estimated percentages. The relationship between absolute and percent standard error is as follows:

percent standard error = absolute standard error / estimate × 100

absolute standard error = percent standard error × estimate / 100

Information on the forest road network is based on a full survey of all forest roads. In this case, there is no need to specify a standard error because there is no uncertainty caused by sampling.

Confidence interval of the estimate

With the estimate and the standard error of the estimate, the limits of the so-called confidence interval of the estimate can be calculated as:

lower limit = estimate – tQ × absolute standard error

upper limit = estimate + tQ × absolute standard error

If the simple standard error is used for the calculation (tQ = 1), then the 68% confidence interval is formed. In this case, the true value of the population parameter has a 68% probability of lying within this confidence interval of the estimate. If the double standard error is used (tQ = 2), then there is a 95% probability that the true value lies within this 95% confidence interval.

Significance of the estimate

The confidence interval can be used to statistically test whether the estimated population parameter is larger or smaller than a specific reference or target value, or whether two estimated population parameters truly differ (in the real population). For practical applications, proceed as follows: if a reference value lies outside the confidence interval, the estimated population value can be interpreted as being significantly different from it; if it lies within the confidence interval, the difference between the estimated population parameter and the reference value can be interpreted as random or not significant. When two population parameters are compared, they can be interpreted as differing significantly if their confidence intervals do not overlap.

Dealing with missing values

When calculating a results table, data are not always available for all combinations of characteristics^* of the classification variables and regional demarcation applied. In most cases, this indicates that the attribute estimated with the respective target variable does not occur or occurs only very rarely. Usually, the value 0 is used (imputed). However, as this value is not based on direct measurements, the associated standard error is represented with a full stop [.]. If the imputed value of 0 is referred to in the calculation, e.g. in the case of percentages or certain change estimates, no value can be entered. In this case, the estimated value and standard error are both represented with a full stop [.].

For example, no Arolla pines have been found and measured in the Swiss Plateau to date (growing stock of Arolla pines by production region). The values can be assumed to be missing because Arolla pine does not occur in the Swiss Plateau and therefore the growing stock there must be 0.

^* e.g. ‘Arolla pine’ characteristic of the classification variable ‘tree species’ and ‘Swiss plateau’ characteristic of the ‘regional demarcation’

Changes

There are two types of changes in the NFI:

The first type involves specific target variables relating to components of change, such as increment, fellings, mortality and losses. These target variables are only available for two consecutive inventory cycles, e.g. NFI3–NFI4. In the evaluation of components of change, the classification variable characteristic of the second inventory cycle is assigned to the first inventory cycle. These evaluations therefore do not take into account potential changes in a classification variable characteristic from the earlier to the later inventory (e.g. from private to public ownership).

With the second type of change, the difference in target variables, such as number of stems, growing stock or forest area, is used to assess the change between two inventory cycles. Target variables are generally used to represent states, such as that in NFI4, but can also indicate the net change between any two inventory cycles, e.g. NFI1–NFI4. In evaluations of change using these target variables, the change in a classification variable characteristic is considered in the analysis. Consequently, one can detect, for example, that the forest area without shrub forest increased between the two inventory cycles. This only has an effect on classification variables whose characteristic (class) can actually change, e.g. the affiliation with a forest area or the tree condition.

NFI5
growing stock (stemwood)
altitudinal vegetation belts (NaiS; 6 classes) · main tree species
regional demarcation: canton
unit: 1000 m³
evaluation area: accessible forest without shrub forest
grid: 1.4 km grid, subgrids 1-5
state 2018/26
		canton
		AG		AI		AR		BE		BL/BS		FR		GE		GL		GR		JU		LU		NE		NW		OW		SG		SH		SO		SZ		TG		TI		UR		VD		VS		ZG		ZH		Switzerland
altitudinal vegetation belts (NaiS; 6 classes)	main tree species	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%
n/a	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	fir	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	beech	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	maple	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	ash	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	other broadleaves	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
upper subalpine	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	451	32	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	196	54	0	.	0	.	163	42	0	.	0	.	811	23
	fir	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	238	38	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	89	79	0	.	0	.	57	87	0	.	0	.	384	32
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2782	17	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	344	37	0	.	0	.	1391	23	0	.	0	.	4517	13
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1482	19	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	899	25	0	.	0	.	2389	15
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	47	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	47
	beech	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	maple	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	ash	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	other broadleaves	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	59	0	.	0	.	6	80	0	.	0	.	14	44
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0
	total	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4980	14	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	640	33	0	.	0	.	2517	20	0	.	0	.	8138	10
subalpine	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	0	.	0	.	0	.	5309	18	0	.	166	100	0	.	850	48	13052	11	0	.	20	100	0	.	445	60	858	48	874	49	0	.	0	.	349	72	0	.	1903	25	716	46	750	34	5686	16	0	.	0	.	30976	7
	fir	0	.	0	.	0	.	10	100	0	.	0	.	0	.	55	100	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	100	0	.	0	.	89	67
	pine	0	.	0	.	0	.	78	50	0	.	0	.	0	.	0	.	176	30	0	.	0	.	0	.	4	100	217	83	0	.	0	.	0	.	13	87	0	.	0	.	0	.	0	.	92	49	0	.	0	.	580	34
	larch	0	.	0	.	0	.	23	100	0	.	0	.	0	.	0	.	3284	17	0	.	0	.	0	.	0	.	0	.	100	99	0	.	0	.	0	.	0	.	1880	20	0	.	49	100	3884	21	0	.	0	.	9220	11
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	289	42	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	183	39	0	.	0	.	472	30
	other conifers	0	.	0	.	0	.	35	97	0	.	0	.	0	.	0	.	25	45	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	5	100	0	.	0	.	0	.	0	.	8	82	0	.	0	.	73	50
	beech	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	100	0	.	0	.	0	.	0	.	0	.	24	100
	maple	0	.	0	.	0	.	10	100	0	.	0	.	0	.	16	100	26	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	46	92	0	.	24	91	10	100	0	.	0	.	131	44
	ash	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	other broadleaves	0	.	0	.	0	.	64	60	0	.	0	.	0	.	0	.	33	61	0	.	0	.	0	.	1	100	4	100	7	72	0	.	0	.	0	.	0	.	28	43	7	85	1	100	82	44	0	.	0	.	228	26
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	0
	total	0	.	0	.	0	.	5527	18	0	.	166	100	0	.	921	48	16885	10	0	.	20	100	0	.	454	60	1081	45	981	45	0	.	0	.	366	68	0	.	3880	18	722	46	825	35	9965	13	0	.	0	.	41793	6
high-montane	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	0	.	0	.	0	.	6400	16	0	.	2085	31	0	.	1059	53	19147	9	0	.	790	43	3	100	92	71	1730	31	1086	40	0	.	0	.	1237	33	0	.	3117	22	2416	30	3066	25	8394	13	0	0	0	.	50624	5
	fir	0	.	0	.	0	.	1293	33	0	.	108	100	0	.	0	.	1032	32	0	.	0	.	0	.	-7	100	211	59	0	0	0	.	0	.	36	75	0	.	561	43	141	77	821	50	1036	32	0	.	0	.	5231	15
	pine	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	2032	21	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	57	100	0	.	58	62	169	74	0	.	1248	24	0	.	0	.	3567	15
	larch	0	.	0	.	0	.	17	94	0	.	0	.	0	.	0	.	3026	17	0	.	0	.	0	.	0	.	0	.	51	100	0	.	0	.	0	.	0	.	1894	25	0	.	172	53	4330	18	0	.	0	.	9490	11
	Arolla pine	0	.	0	.	0	.	12	100	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	90
	other conifers	0	.	0	.	0	.	9	85	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	7	100	0	.	1	100	0	.	0	.	17	60
	beech	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	65	55	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	145	62	29	100	0	.	22	97	0	.	0	.	261	39
	maple	0	.	0	.	0	.	212	37	0	.	23	71	0	.	17	100	218	38	0	.	12	100	0	.	22	79	14	71	0	.	0	.	0	.	5	71	0	.	36	94	4	61	79	51	201	32	0	.	0	.	844	17
	ash	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	204	49	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	65	78	0	.	1	100	237	42	0	.	0	.	513	29
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	76	0	.	0	.	14	76
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	36	72	0	.	0	.	0	.	0	.	0	.	36	72
	other broadleaves	0	.	0	.	0	.	83	38	0	.	0	0	0	.	9	100	1135	27	0	.	16	62	0	.	1	100	0	0	9	59	0	.	0	.	9	84	0	.	194	39	27	76	27	75	707	27	0	.	0	.	2218	17
	indeterminable	0	.	0	.	0	.	0	0	0	.	0	0	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	0	0	0	0	0	0	0	0	.	0	.	0	0
	total	0	.	0	.	0	.	8036	15	0	.	2216	30	0	.	1085	52	26862	8	0	.	818	43	3	100	109	72	1955	31	1146	39	0	.	0	.	1345	32	0	.	6107	16	2793	29	4166	24	16188	10	0	0	0	.	72829	4
lower and upper montane	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	132	61	2795	30	2096	30	13705	10	335	57	5646	18	0	.	1714	27	3545	21	1779	28	5308	16	4320	16	1183	44	1446	32	8737	14	441	47	913	32	3915	20	801	40	2018	58	1146	38	7887	12	1050	34	1039	37	2969	22	74923	4
	fir	181	59	609	41	1551	36	11746	10	347	53	2063	26	0	.	501	48	948	35	2870	22	4478	17	4265	18	371	56	894	42	4200	17	98	75	892	28	2094	25	170	55	765	37	556	37	5284	14	571	47	333	49	1578	23	47365	5
	pine	74	100	0	.	0	.	681	38	30	79	28	100	0	.	0	.	213	56	304	44	18	100	73	72	0	.	0	.	152	50	44	61	215	41	8	100	126	56	4	100	9	100	94	76	229	59	0	.	309	38	2612	15
	larch	70	106	0	.	0	.	98	63	27	71	6	100	0	.	50	100	212	46	0	.	19	74	41	100	0	.	0	.	86	84	8	100	0	.	57	100	27	100	825	30	0	.	43	71	95	56	40	100	48	73	1752	18
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	other conifers	21	74	0	.	14	74	283	58	0	.	0	.	0	.	3	100	0	.	11	74	277	86	8	100	0	.	8	100	358	94	0	.	57	58	4	100	0	.	0	.	0	.	43	48	4	100	0	.	60	57	1150	39
	beech	609	41	323	48	494	36	9688	11	1022	31	2027	24	0	.	935	31	1826	23	2469	19	2017	23	1130	19	486	42	1366	30	5016	16	696	39	2854	19	1803	25	411	37	5060	14	640	41	4672	13	739	35	194	53	1814	21	48292	4
	maple	109	68	25	75	266	42	1626	14	234	46	485	26	0	.	399	37	196	50	440	24	477	24	558	29	131	47	256	52	1677	17	40	100	515	26	334	28	292	58	172	45	169	42	811	19	206	47	85	52	518	23	10019	6
	ash	67	94	0	.	254	55	780	32	59	66	548	38	0	.	262	44	91	67	447	33	176	33	47	58	511	59	116	76	1087	24	43	100	231	36	342	44	225	43	48	54	208	59	568	34	171	60	26	100	767	32	7075	10
	oak	57	69	0	.	0	.	70	60	0	.	52	79	0	.	0	.	100	73	65	100	59	75	18	100	5	100	0	.	2	100	0	.	80	74	19	100	45	81	38	53	0	.	144	47	52	55	12	100	116	42	934	19
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	70	70	0	.	0	.	0	.	0	.	0	.	70	70
	other broadleaves	186	65	0	.	75	69	675	22	80	48	167	33	0	.	146	49	259	32	313	41	169	36	53	38	88	52	44	44	356	24	12	100	181	54	239	37	0	0	1347	23	125	57	411	33	116	49	7	63	243	45	5293	9
	indeterminable	0	.	0	.	0	0	0	0	0	0	0	0	0	.	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	.	0	.	0	0	0	.	0	0	0	0	0	.	0	0	0	0
	total	1505	33	3751	28	4750	24	39352	7	2134	29	11022	14	0	.	4009	21	7390	15	8698	15	12997	12	10515	12	2775	29	4130	24	21673	10	1381	34	5937	16	8816	15	2098	29	10346	16	2854	26	19957	9	3234	23	1737	33	8423	15	199485	2
submontane	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	2485	22	0	.	0	.	4037	17	434	45	773	41	0	.	0	.	180	67	460	39	912	30	333	62	0	.	139	100	141	61	947	36	915	40	19	100	1770	24	0	.	181	71	826	29	0	.	0	.	2822	19	17376	7
	fir	1218	31	0	.	0	.	3410	19	202	44	88	63	0	.	0	.	125	74	1020	45	1866	26	326	45	0	.	153	100	41	94	86	94	535	35	33	100	1189	37	0	.	191	88	943	30	0	.	65	100	476	35	11968	10
	pine	68	54	0	.	0	.	589	45	267	37	304	60	0	.	0	.	116	57	79	62	229	58	50	100	0	.	0	.	0	.	286	44	105	49	0	.	278	56	0	.	86	70	87	48	0	.	0	.	498	28	3042	15
	larch	216	42	0	.	0	.	133	76	0	.	91	73	0	.	0	.	89	74	22	100	9	100	0	.	0	.	18	100	82	71	28	71	20	100	0	.	43	75	0	.	0	.	233	48	0	.	0	.	237	43	1221	19
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	other conifers	178	55	0	.	0	.	241	66	252	100	0	.	0	.	0	.	0	.	0	.	75	99	0	.	0	.	0	.	-15	138	66	100	0	.	0	.	5	72	0	.	0	.	62	91	0	.	0	.	14	88	879	38
	beech	3994	17	0	.	0	.	4368	15	1503	25	1338	31	0	.	0	.	117	57	947	35	1741	26	174	43	0	.	0	0	708	35	1463	25	1959	25	225	66	1270	25	0	.	393	54	2152	24	148	68	120	75	2496	19	25117	6
	maple	527	22	0	.	0	.	634	25	250	31	68	70	0	.	0	.	82	59	68	104	72	52	41	89	0	.	0	.	128	95	61	58	215	41	53	81	183	39	0	.	45	100	322	29	50	86	25	100	780	26	3606	10
	ash	676	31	0	.	0	.	585	31	284	49	795	39	0	.	0	.	50	85	322	52	400	69	52	71	0	.	0	.	411	55	188	52	274	38	280	63	546	34	0	.	10	100	797	29	24	60	89	72	512	29	6296	11
	oak	762	36	0	.	0	.	633	22	189	52	179	50	0	.	0	.	0	.	268	50	246	57	69	71	0	.	0	.	97	57	210	47	132	50	0	.	911	48	0	.	86	72	838	29	45	78	0	.	426	32	5090	13
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	93	77	0	.	0	.	104	70
	other broadleaves	498	23	0	.	0	.	731	23	128	42	354	42	0	.	0	.	65	63	81	48	128	45	6	132	0	.	2	100	165	60	28	54	198	44	69	82	590	33	0	.	86	58	1047	38	92	57	0	.	460	31	4727	12
	indeterminable	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	0	0	.	0	.	0	0	0	.	0	.	0	0	0	0
	total	10622	12	0	.	0	.	15363	10	3509	20	3991	22	0	.	0	.	829	37	3265	24	5679	18	1050	38	0	.	312	70	1759	32	3362	22	4354	19	679	53	6787	16	0	.	1078	48	7313	15	452	43	300	71	8722	12	79426	4
hyperinsubric and colline	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	0	.	0	.	0	.	0	.	0	.	0	.	4	75	0	.	11	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	203	46	0	.	0	.	167	58	0	.	-4	100	381	35
	fir	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	100	34	100	0	.	0	.	15	65	0	.	0	.	70	56
	pine	0	.	0	.	0	.	0	.	0	.	0	.	67	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	291	40	0	.	33	100	391	35
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	100	0	.	0	.	195	69	0	.	0	.	209	64
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	82	98	0	.	0	.	1	100	0	.	0	.	83	98
	beech	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	53	100	840	28	0	.	0	.	11	100	0	.	0	.	926	26
	maple	0	.	0	.	0	.	0	.	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	147	45	0	.	0	.	16	54	0	.	0	.	167	40
	ash	0	.	0	.	0	.	0	.	0	.	0	.	9	100	0	.	11	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	718	36	0	.	2	100	54	51	0	.	0	.	801	32
	oak	0	.	0	.	0	.	0	.	0	.	0	.	384	58	0	.	85	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	943	21	0	.	207	60	165	48	0	.	43	71	1834	19
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	510	44	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4814	14	0	.	0	.	71	62	0	.	0	.	5395	13
	other broadleaves	0	.	0	.	0	.	0	.	0	.	0	.	14	65	0	.	412	45	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2686	15	0	.	27	96	206	40	0	.	11	100	3356	13
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	0	0	.	0	.	0	.	0	0
	total	0	.	0	.	0	.	0	.	0	.	0	.	485	54	0	.	1061	34	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	86	100	10472	9	0	.	236	58	1192	26	0	.	83	77	13615	7
total	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	2617	21	2795	30	2096	30	29451	7	769	35	8671	14	4	75	3623	23	36387	6	2239	23	7030	14	4655	15	1721	34	4173	20	10839	13	1388	28	1829	26	5520	16	2572	21	7436	19	4459	20	12529	10	15460	9	1039	37	5788	14	175091	2
	fir	1398	28	609	41	1551	36	16459	9	549	37	2259	24	4	100	555	44	2105	23	3889	20	6344	14	4592	17	368	56	1259	34	4242	17	184	59	1427	22	2163	24	1377	32	1360	27	888	32	7047	13	1642	26	398	44	2054	20	64723	4
	pine	143	58	0	.	0	.	1350	28	297	35	331	55	67	100	0	.	2776	17	383	37	246	54	123	59	4	100	217	83	152	50	330	39	320	32	78	75	404	42	151	52	265	53	181	46	1918	18	0	.	840	22	10577	8
	larch	286	41	0	.	0	.	271	45	27	71	97	69	0	.	50	100	9404	9	22	100	28	59	41	100	0	.	18	100	319	45	36	59	20	100	57	100	70	60	4948	13	0	.	497	31	9895	12	40	100	285	37	26409	6
	Arolla pine	0	.	0	.	0	.	12	100	0	.	0	.	0	.	0	.	1773	18	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	1082	21	0	.	0	.	2875	13
	other conifers	198	50	0	.	14	74	568	40	252	100	0	.	0	.	3	100	47	32	11	74	352	71	8	100	0	.	9	91	344	98	66	100	57	58	9	72	5	72	82	98	7	100	105	57	13	58	0	.	75	49	2224	25
	beech	4603	16	323	48	494	36	14057	9	2525	19	3366	19	0	.	935	31	2029	21	3416	17	3758	17	1304	18	486	42	1366	30	5724	15	2159	21	4813	15	2029	23	1734	20	6069	12	1062	31	6824	12	920	30	314	43	4310	14	74620	3
	maple	636	22	25	75	266	42	2481	12	484	27	576	24	3	100	431	34	522	26	508	24	561	21	600	27	153	42	269	49	1805	17	101	53	730	22	392	26	476	39	401	29	218	39	1237	15	483	26	110	46	1299	18	14767	5
	ash	743	29	0	.	254	55	1372	23	343	42	1343	28	9	100	262	44	356	35	770	29	575	49	99	46	511	59	116	76	1498	23	231	46	505	26	622	37	779	27	830	32	218	56	1369	22	485	30	115	60	1279	22	14686	7
	oak	819	34	0	.	0	.	703	20	189	52	231	43	384	58	0	.	185	61	332	45	305	48	87	60	5	100	0	.	99	56	210	47	212	42	19	100	963	45	981	20	86	72	1188	24	276	33	12	100	585	25	7872	10
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	515	44	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4920	13	0	.	6	100	165	51	0	.	0	.	5605	12
	other broadleaves	684	24	0	.	75	69	1553	15	208	32	521	31	14	65	155	46	1908	19	393	34	313	27	59	37	91	51	50	39	537	24	39	48	378	35	317	33	590	33	4259	12	245	37	1514	28	1209	18	7	63	715	25	15836	6
	indeterminable	0	.	0	.	0	0	0	0	0	0	0	0	0	.	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	0
	total	12128	11	3751	28	4750	24	68278	5	5643	16	17394	11	485	54	6015	18	58007	5	11963	12	19513	10	11568	11	3339	26	7478	17	25559	9	4744	18	10291	12	11207	13	8970	13	31445	6	7447	17	32496	7	33548	6	2036	30	17228	9	415285	1

Table 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 - Result table No. 1372344. Birmensdorf, Swiss Federal Research Institute WSL

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