Selection from the list of topics

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
volume of bolewood (HG 2010)
type of assortment · 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
type of assortment	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	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	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	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	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	.	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	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	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	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	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	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	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	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	.	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	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
coniferous wood	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	.	10	100	290	90	0	.	427	69	0	.	0	.	448	56	0	.	0	.	0	.	10	100	0	.	375	56	0	.	0	.	0	.	17	100	28	100	0	.	0	.	259	59	0	.	0	.	1864	29
	fir	0	.	0	.	0	.	79	72	0	.	130	100	0	.	0	.	0	.	0	.	0	.	0	.	18	100	0	.	42	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	269	55
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	65	68	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	14	100	0	.	0	.	89	53
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	53	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	78	80	0	.	0	.	141	59
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	94	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	94
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	77	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	77
	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	.	10	100	369	82	0	.	557	58	0	.	0	.	598	44	0	.	0	.	0	.	28	100	0	.	417	52	0	.	0	.	0	.	36	100	28	100	0	.	0	.	352	57	0	.	0	.	2395	25
coniferous shortwood	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	2054	21	2104	32	1590	31	23044	7	390	42	5287	16	1	100	3550	22	30166	6	68	85	6304	14	23	100	1174	39	2887	22	7616	14	988	30	1271	23	5205	16	1759	23	6517	19	4106	20	7037	13	11607	10	984	36	4525	15	130256	3
	fir	1004	30	376	41	1097	39	10322	10	204	39	1438	29	0	.	476	44	1707	23	166	67	4518	15	226	100	265	58	676	31	2690	19	128	69	1077	23	1921	24	960	34	1144	29	953	31	3114	19	743	34	341	41	1582	21	37128	5
	pine	143	55	0	.	0	.	691	29	240	41	30	72	72	100	0	.	2273	16	26	100	159	62	0	.	4	100	205	82	67	63	270	39	296	32	86	71	331	43	188	48	239	51	62	56	1864	18	0	.	749	22	7996	8
	larch	211	39	0	.	0	.	193	45	8	100	0	.	0	.	23	100	6696	9	0	.	20	59	0	.	0	.	14	100	127	51	10	100	16	100	40	100	45	72	3415	13	0	.	111	55	6920	11	28	100	187	40	18065	6
	Arolla pine	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	1423	18	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	928	22	0	.	0	.	2369	14
	other conifers	188	51	0	.	10	74	424	41	269	100	0	.	0	.	2	100	70	36	0	.	109	76	0	.	0	.	6	100	378	90	65	100	43	58	9	75	3	73	75	99	9	100	30	51	23	62	0	.	55	50	1766	28
	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	.	0	.	0	0	0	0	0	0	0	0	0	.	0	0	0	0
	total	3599	17	2480	31	2697	28	34684	6	1111	32	6755	15	73	100	4051	21	42335	5	260	65	11110	12	249	100	1443	34	3786	19	10879	12	1461	26	2703	16	7261	15	3098	19	11346	12	5308	18	10355	12	22085	7	1354	34	7098	13	197580	2
coniferous mediumwood	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	11	100	0	.	0	.	1271	26	181	68	468	56	0	.	0	.	438	44	259	55	653	38	61	76	362	71	737	47	1319	33	60	100	68	59	0	.	198	74	212	61	0	.	477	51	1860	25	0	.	271	55	8906	11
	fir	124	100	0	.	0	.	1721	27	174	52	0	.	0	.	0	.	123	65	66	73	1134	29	65	100	27	100	233	59	396	40	0	.	116	46	0	.	34	100	23	100	0	.	346	41	616	43	0	.	86	67	5282	13
	pine	0	.	0	.	0	.	109	52	11	100	18	71	0	.	0	.	85	77	58	100	34	100	77	76	0	.	0	.	78	71	21	100	53	60	0	.	0	.	0	.	0	.	8	100	92	68	0	.	40	82	686	23
	larch	0	.	0	.	0	.	23	100	0	.	23	100	0	.	0	.	204	68	0	.	0	.	0	.	0	.	0	.	114	71	16	73	0	.	0	.	0	.	303	48	0	.	92	57	536	47	0	.	0	.	1312	26
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	10	81
	other conifers	0	.	0	.	0	.	40	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	1	100	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	48	85
	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	0	.	0	.	0	0
	total	135	92	0	.	0	.	3165	22	366	53	509	52	0	.	0	.	857	39	382	47	1822	29	208	54	389	71	971	45	1908	29	97	77	238	43	0	.	232	71	538	42	0	.	922	34	3107	22	0	.	397	42	16242	9
coniferous longwood	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	392	63	349	72	342	68	2788	18	133	87	1695	30	2	100	0	.	99	100	1880	25	52	100	4052	15	0	.	185	100	630	54	312	70	287	94	0	.	506	47	0	.	0	.	4193	15	711	52	0	.	531	47	19139	7
	fir	299	60	113	100	237	89	2552	18	145	99	715	39	3	100	0	.	0	.	3329	20	51	100	3400	17	0	.	295	100	435	51	28	100	102	72	0	.	167	61	0	.	0	.	2718	17	104	91	0	.	107	52	14799	8
	pine	0	.	0	.	0	.	531	53	15	100	251	66	12	100	0	.	0	.	211	45	0	.	41	100	0	.	0	.	0	.	7	100	0	.	0	.	14	100	0	.	0	.	127	66	0	.	0	.	0	.	1210	29
	larch	0	.	0	.	0	.	0	.	12	100	45	80	0	.	0	.	12	100	16	100	0	.	29	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	166	45	16	75	0	.	12	100	307	30
	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	.	2	71	0	.	0	.	0	.	0	.	0	.	8	74	187	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	63	87	0	.	0	.	1	100	261	75
	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	0	0	.	0	.	0	.	0	0
	total	691	50	462	71	579	61	5874	15	305	89	2706	25	17	77	0	.	110	100	5444	17	290	100	7522	12	0	.	480	100	1065	42	346	65	389	73	0	.	688	43	0	.	0	.	7266	12	831	47	0	.	651	45	35717	6
broadleaf roundwood	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	4334	15	274	47	424	34	12476	9	2411	19	2874	19	0	.	869	29	1786	22	2900	17	3479	16	1216	18	441	42	1281	30	5485	14	1878	21	4386	15	1754	23	1538	20	4862	12	964	34	6218	12	920	28	299	44	3860	13	66928	3
	maple	584	22	16	72	224	41	2111	12	438	26	449	23	2	100	362	28	417	27	486	20	427	20	502	28	160	31	205	48	1560	17	86	53	679	21	305	26	456	38	353	27	186	36	1097	16	417	25	95	48	1105	17	12723	5
	ash	702	30	0	.	238	46	1239	21	285	40	963	28	10	100	320	43	366	38	807	30	520	45	76	47	443	59	57	60	1198	21	179	45	430	26	484	35	679	25	707	27	146	52	1137	22	417	28	85	61	1070	20	12558	7
	oak	554	33	0	.	0	.	567	21	143	54	184	42	312	56	0	.	136	60	248	45	223	50	71	59	4	100	0	.	85	52	145	47	173	38	14	100	752	45	855	20	71	67	905	23	202	34	10	100	491	25	6143	9
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	402	45	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4575	12	0	.	4	100	148	54	0	.	0	.	5129	11
	other broadleaves	553	23	0	.	65	67	1202	15	181	30	398	35	14	55	153	45	1563	16	460	39	233	26	78	38	70	55	48	48	526	24	31	49	268	35	264	34	516	37	3558	11	211	36	1364	28	929	16	7	63	598	25	13289	6
	indeterminable	0	.	0	.	1	100	16	91	12	93	0	.	0	.	0	.	46	54	1	100	1	100	0	.	0	.	1	100	2	100	0	.	4	100	0	.	1	100	4	58	0	.	24	61	1	100	0	.	5	100	118	29
	total	6726	13	289	47	952	30	17611	7	3469	17	4868	16	338	55	1704	23	4716	13	4902	14	4882	15	1944	15	1118	35	1591	26	8856	12	2319	20	5940	13	2821	20	3942	17	14914	6	1578	27	10749	10	3035	14	496	41	7129	11	116888	2
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	2457	20	2453	29	1941	28	27393	7	703	33	7878	13	3	75	3550	22	31150	6	2206	22	7010	13	4136	15	1546	34	3809	19	9941	12	1360	27	1627	25	5205	16	2480	20	6757	18	4106	20	11706	10	14437	9	984	36	5327	14	160166	2
	fir	1427	26	489	39	1334	36	14674	8	523	36	2283	22	3	100	476	44	1830	22	3561	19	5703	13	3691	17	310	51	1203	32	3562	16	156	59	1295	21	1921	24	1161	30	1167	28	953	31	6178	12	1462	26	341	41	1775	19	57477	4
	pine	143	55	0	.	0	0	1332	26	266	38	299	56	84	87	0	.	2424	16	296	39	193	54	118	60	4	100	205	82	146	48	298	36	349	28	86	71	355	40	188	48	239	51	197	46	1971	17	0	.	789	21	9981	8
	larch	211	39	0	.	0	.	216	42	20	72	68	63	0	.	23	100	6964	9	16	100	20	59	29	100	0	.	14	100	241	43	26	59	16	100	40	100	55	61	3718	12	0	.	369	30	7551	11	28	100	199	38	19824	6
	Arolla pine	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	1459	18	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	930	22	0	.	0	.	2407	13
	other conifers	188	51	0	.	10	74	466	39	269	100	0	.	0	.	2	100	74	34	8	74	296	69	6	100	0	.	7	87	379	89	65	100	43	58	9	75	3	73	75	99	9	100	93	61	23	62	0	.	56	49	2079	26
	beech	4334	15	274	47	424	34	12476	9	2411	19	2874	19	0	.	869	29	1786	22	2900	17	3479	16	1216	18	441	42	1281	30	5485	14	1878	21	4386	15	1754	23	1538	20	4862	12	964	34	6218	12	920	28	299	44	3860	13	66928	3
	maple	584	22	16	72	224	41	2111	12	438	26	449	23	2	100	362	28	417	27	486	20	427	20	502	28	160	31	205	48	1560	17	86	53	679	21	305	26	456	38	353	27	186	36	1097	16	417	25	95	48	1105	17	12723	5
	ash	702	30	0	.	238	46	1239	21	285	40	963	28	10	100	320	43	366	38	807	30	520	45	76	47	443	59	57	60	1198	21	179	45	430	26	484	35	679	25	707	27	146	52	1137	22	417	28	85	61	1070	20	12558	7
	oak	554	33	0	.	0	.	567	21	143	54	184	42	312	56	0	.	136	60	248	45	223	50	71	59	4	100	0	.	85	52	145	47	173	38	14	100	752	45	855	20	71	67	905	23	202	34	10	100	491	25	6143	9
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	402	45	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4575	12	0	.	4	100	148	54	0	.	0	.	5129	11
	other broadleaves	553	23	0	0	65	67	1202	15	181	30	398	35	14	55	153	45	1563	16	460	39	233	26	78	38	70	55	48	48	526	24	31	49	268	35	264	34	516	37	3558	11	211	36	1364	28	929	16	7	63	598	25	13289	6
	indeterminable	0	0	0	.	1	100	16	91	12	93	0	0	0	.	0	0	46	54	1	100	1	100	0	0	0	0	1	100	2	100	0	.	4	100	0	0	1	100	4	58	0	0	24	61	1	100	0	.	5	100	118	29
	total	11151	11	3232	28	4237	23	61703	5	5249	16	15396	10	428	52	5755	18	48616	5	10989	12	18104	10	9923	11	2978	25	6829	17	23124	9	4223	18	9269	12	10082	13	7995	13	26826	6	6886	16	29293	7	29409	6	1849	30	15275	9	368822	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. 1261831. Birmensdorf, Swiss Federal Research Institute WSL

back