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
total number of stems
diameter at breast height (10 classes) · main tree species
regional demarcation: economic region
unit: n/ha
evaluation area: accessible forest without shrub forest NFI1-NFI5
grid: 1.4 km grid, subgrids 1-5
state 2018/26
		economic region
		Western Jura		Eastern Jura		Western Plateau		Central Plateau		Eastern Plateau		Western Pre-Alps		Central Pre-Alps		Eastern Pre-Alps		Northwestern Alps		Central Alps		Northeastern Alps		Southwestern Alps		Southeastern Alps		Southern Alps		Switzerland
diameter at breast height (10 classes)	main tree species	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%
n/a	n/a	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	.
	fir	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	.
	larch	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	.
	other conifers	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	.
	maple	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	.
	oak	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	.
	other broadleaves	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	.
	total	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
12-20 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	38	12	33	30	37	32	65	16	40	15	88	15	91	13	63	16	102	11	94	19	79	20	95	10	118	8	34	16	68	4
	fir	48	10	9	31	18	27	39	16	11	21	31	20	48	14	21	21	13	25	46	24	10	34	6	28	2	37	5	28	22	6
	pine	1	35	2	61	1	100	2	60	1	68	0	.	4	56	0	.	4	63	2	99	0	.	28	26	23	27	1	100	6	16
	larch	0	.	2	80	12	84	0	100	3	52	5	72	1	81	1	100	4	50	0	.	3	71	27	15	8	21	13	23	6	11
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	32	8	41	0	100	2	27
	other conifers	3	45	2	62	0	.	2	39	4	50	0	.	0	71	2	47	0	.	5	99	2	59	2	56	6	43	0	100	2	20
	beech	50	9	76	14	50	27	40	15	38	13	23	31	40	12	33	19	29	23	24	27	58	26	14	28	5	25	51	14	36	5
	maple	20	16	25	24	18	43	11	24	15	14	12	31	11	25	14	26	31	19	13	34	13	45	10	26	3	38	7	31	13	7
	ash	8	22	20	27	13	34	7	29	10	24	11	37	8	25	7	31	9	32	20	47	3	61	6	29	3	39	13	24	9	8
	oak	8	43	5	44	13	41	2	43	2	42	1	70	0	100	0	.	2	86	1	99	0	.	8	36	0	100	10	38	4	18
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	100	65	15	8	15
	other broadleaves	17	13	20	21	25	23	21	23	23	16	25	26	15	21	15	23	30	21	30	32	31	33	42	14	27	23	85	12	31	6
	indeterminable	1	43	0	.	0	.	0	100	0	70	1	57	1	50	1	50	1	49	0	.	0	.	1	57	1	43	0	57	1	17
	total	193	5	193	10	186	12	189	8	148	7	197	10	219	7	158	9	227	7	233	13	199	12	246	6	203	7	285	6	207	2
21-30 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	21	12	14	26	28	26	30	17	28	15	64	17	52	11	49	14	54	13	68	17	54	20	54	12	71	8	25	14	41	4
	fir	27	10	9	36	6	38	21	18	7	23	20	26	27	12	13	21	9	27	21	25	4	42	4	30	1	42	3	33	12	6
	pine	3	36	5	40	1	74	2	69	1	43	0	.	3	79	0	.	0	100	7	50	0	.	23	19	10	22	0	57	5	12
	larch	0	.	0	100	4	67	0	100	2	49	0	.	0	100	1	100	2	62	0	.	2	99	18	16	7	22	15	18	5	10
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	27	7	26	0	100	1	19
	other conifers	0	61	2	60	0	100	0	100	1	35	0	.	0	100	1	70	0	100	0	.	0	.	0	100	0	70	0	.	0	21
	beech	32	10	31	17	25	19	16	14	21	13	18	24	27	14	24	17	15	25	27	29	23	29	7	35	4	35	31	17	21	5
	maple	10	13	11	23	7	31	3	33	13	20	14	22	7	23	12	21	12	28	8	48	18	30	3	32	1	49	2	31	8	7
	ash	3	25	8	30	7	31	3	32	4	24	8	33	5	34	9	25	4	42	7	38	7	45	2	39	2	78	5	34	5	10
	oak	4	35	3	58	12	32	2	39	1	45	0	100	0	71	1	77	1	57	1	99	0	.	3	42	0	100	6	24	3	13
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	100	36	14	4	14
	other broadleaves	5	23	7	29	8	31	6	31	10	17	6	34	4	27	9	41	10	23	6	52	10	31	12	19	11	27	36	12	11	7
	indeterminable	0	58	0	.	0	.	0	.	0	100	1	99	1	50	0	.	0	100	0	.	0	.	0	71	0	75	0	100	0	27
	total	105	5	91	9	98	10	83	9	88	7	132	12	128	6	118	8	109	8	146	11	117	13	133	7	115	6	160	5	116	2
31-40 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	19	11	7	39	14	23	14	17	16	15	45	14	35	11	41	11	45	11	42	17	30	20	36	10	46	8	18	15	28	3
	fir	13	12	5	36	5	37	12	17	4	25	17	25	14	15	9	22	5	28	14	34	4	38	3	35	1	31	2	33	7	6
	pine	4	27	5	31	2	56	1	57	1	29	0	.	2	55	0	100	1	78	8	55	0	.	9	20	5	24	1	51	3	11
	larch	0	.	0	70	1	63	0	.	0	60	0	99	0	.	0	.	2	51	0	.	1	99	15	16	8	17	9	18	3	10
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	3	34	4	25	0	.	1	20
	other conifers	0	.	1	81	0	100	1	51	0	85	0	.	0	.	0	.	0	.	0	.	1	100	0	100	0	.	0	.	0	34
	beech	24	9	25	16	16	18	14	15	12	14	12	31	14	13	22	14	10	24	18	31	10	24	3	32	3	26	14	15	14	5
	maple	5	18	4	34	2	42	3	27	4	18	4	44	5	21	8	23	6	31	3	44	9	32	0	62	1	46	1	56	4	8
	ash	3	32	4	37	10	34	3	24	5	21	5	50	3	54	5	26	3	49	5	65	5	43	2	42	1	51	1	35	3	10
	oak	2	30	3	36	4	40	1	63	1	33	1	76	0	.	0	71	0	100	0	99	0	.	1	51	0	100	2	27	1	13
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	79	0	.	14	18	2	18
	other broadleaves	2	29	2	43	3	52	3	31	3	25	0	99	1	60	3	34	2	37	2	47	2	45	1	38	1	34	13	18	3	10
	indeterminable	0	71	0	.	0	.	0	.	0	100	0	100	0	58	0	70	1	52	0	.	0	99	0	100	0	71	0	.	0	26
	total	72	5	55	10	57	11	52	8	48	7	84	10	75	7	87	7	75	8	91	11	61	12	73	7	70	5	75	6	69	2
41-50 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	13	9	6	29	11	21	9	18	11	11	36	11	22	11	22	11	32	11	31	21	21	18	20	10	31	7	12	14	18	3
	fir	10	10	3	39	4	31	8	15	5	17	7	23	10	12	7	15	4	30	12	31	4	33	2	34	1	33	2	29	5	5
	pine	2	24	3	32	2	42	1	34	2	23	0	.	1	61	0	100	1	79	1	56	0	.	3	27	3	23	0	60	2	11
	larch	0	100	0	70	1	60	0	74	0	55	0	.	0	.	0	100	1	67	0	.	0	99	12	15	6	15	6	16	3	9
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	34	2	24	0	.	0	20
	other conifers	0	.	1	61	1	100	0	50	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	35
	beech	14	9	19	15	12	18	10	12	7	13	3	36	9	15	15	15	6	25	6	30	10	22	1	55	2	32	5	16	8	4
	maple	2	16	2	34	1	74	1	42	1	26	2	40	1	29	2	24	2	30	2	41	5	28	1	60	0	57	0	47	1	8
	ash	1	25	2	36	4	32	2	36	3	18	1	59	1	32	3	29	1	52	2	60	2	46	0	71	0	100	1	44	1	10
	oak	1	31	3	40	3	30	1	34	1	30	1	100	0	61	0	.	0	100	1	71	0	.	0	75	0	100	1	32	1	12
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	100	0	100	6	18	1	18
	other broadleaves	1	42	1	42	1	42	0	60	2	24	0	100	0	40	0	.	1	62	0	99	1	52	1	39	0	50	4	20	1	12
	indeterminable	0	100	0	100	0	.	0	.	0	.	0	.	0	.	0	.	1	61	1	99	0	99	0	100	0	71	0	.	0	33
	total	45	4	40	10	40	10	33	8	34	6	50	9	45	6	50	7	48	8	56	14	43	11	41	7	45	5	37	6	42	2
51-60 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	8	10	4	29	7	28	5	17	5	15	19	14	13	10	18	11	18	12	19	16	14	17	12	11	17	8	8	20	11	4
	fir	7	11	1	44	4	31	7	17	3	20	8	22	8	13	7	20	3	26	4	36	3	46	2	38	1	31	2	29	4	6
	pine	1	29	1	49	1	62	1	37	1	29	0	.	1	57	0	100	0	.	1	99	0	.	1	45	2	28	0	100	1	13
	larch	0	100	0	100	0	100	0	70	1	36	0	.	0	.	0	100	1	60	0	.	0	100	8	14	5	16	4	16	2	9
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	71	1	26	0	.	0	26
	other conifers	0	.	1	62	0	.	1	62	0	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	36
	beech	6	11	10	20	7	23	8	13	7	11	3	34	5	19	5	20	3	30	4	42	6	33	0	77	1	47	3	20	4	5
	maple	1	26	1	44	0	71	0	50	1	35	1	44	0	45	1	35	1	60	1	70	1	49	0	.	0	45	0	.	1	13
	ash	0	50	1	48	2	35	2	38	2	21	0	.	0	75	1	42	1	50	1	74	2	41	0	100	0	.	0	72	1	13
	oak	0	36	1	59	1	55	1	30	1	24	0	.	0	.	0	.	0	.	0	99	0	.	0	100	0	81	0	41	0	14
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	3	24	0	24
	other broadleaves	0	100	1	60	2	52	1	54	0	41	0	.	0	100	1	51	1	72	0	99	1	74	0	57	0	100	0	52	0	18
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	100	0	71	0	.	0	.	0	.	0	.	0	71	0	.	0	.	0	45
	total	22	5	20	12	25	12	25	8	21	7	31	10	28	7	33	7	26	9	30	12	27	13	24	8	27	6	20	11	25	2
61-70 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	4	14	2	27	3	35	3	24	3	18	9	17	5	16	9	16	8	15	11	22	7	26	4	17	6	13	3	16	5	5
	fir	3	17	1	37	2	34	3	21	2	26	3	40	5	16	3	23	2	33	1	49	0	100	0	60	0	39	0	45	2	7
	pine	0	71	0	.	0	70	0	50	0	75	0	.	0	71	0	100	0	.	0	.	0	.	0	100	1	36	0	.	0	22
	larch	0	.	0	.	0	100	0	100	0	58	0	.	0	.	0	.	0	100	0	.	0	100	4	18	3	18	2	23	1	11
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	58	0	.	0	50
	other conifers	0	.	0	100	0	.	1	57	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	42
	beech	1	22	4	26	3	25	3	20	3	18	0	70	2	34	1	29	1	50	2	56	2	54	0	73	0	40	1	29	1	8
	maple	0	100	0	.	0	100	0	.	0	47	0	.	0	100	0	76	0	59	0	.	0	.	0	.	0	.	0	.	0	30
	ash	0	53	0	70	0	70	0	44	1	34	0	.	0	100	0	61	0	100	0	.	0	100	0	.	0	.	0	100	0	19
	oak	0	73	0	100	1	50	0	51	0	60	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	100	0	71	0	25
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	1	27	0	26
	other broadleaves	0	.	0	100	1	57	0	100	0	100	0	.	0	100	0	100	1	82	0	.	0	100	0	100	0	100	0	71	0	29
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	100
	total	9	9	8	15	10	14	11	11	9	10	13	15	12	10	14	12	12	13	14	19	10	21	10	12	11	9	8	10	10	3
71-80 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	1	22	1	46	1	45	1	31	1	30	3	27	2	18	3	23	4	20	5	31	5	31	2	26	3	17	2	26	2	7
	fir	1	20	0	100	1	48	1	27	1	26	1	51	2	22	2	27	2	34	3	61	0	70	0	60	0	44	0	49	1	9
	pine	0	100	0	.	0	.	0	71	0	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	71	0	.	0	38
	larch	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	70	0	70	0	.	0	99	2	27	1	27	1	28	0	15
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	49	0	58	0	.	0	38
	other conifers	0	.	0	.	0	.	0	57	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	58
	beech	0	61	1	44	1	57	1	34	1	27	1	57	1	35	0	79	0	57	0	.	0	99	0	100	0	79	0	41	1	13
	maple	0	.	0	71	0	.	0	.	0	100	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	50
	ash	0	71	0	.	0	.	0	100	0	100	0	100	0	.	0	100	0	.	0	99	0	.	0	.	0	100	0	.	0	36
	oak	0	.	0	70	0	70	0	.	0	50	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	33
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	33	0	33
	other broadleaves	0	.	0	71	1	57	0	.	0	100	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	100	0	35
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	3	14	3	24	3	24	4	17	4	15	5	21	5	13	6	17	6	15	8	27	6	28	4	17	4	13	4	14	4	4
81-90 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	0	47	0	.	0	72	0	44	1	39	1	51	0	42	1	36	1	44	1	57	1	49	0	41	1	29	0	43	1	12
	fir	0	42	0	.	1	52	1	42	0	42	0	99	1	37	0	59	0	70	0	.	0	70	0	.	0	71	0	100	0	16
	pine	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	40	1	40	1	45	0	24
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	70	0	.	0	61
	other conifers	0	.	0	100	0	.	0	70	0	100	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	47
	beech	0	100	0	.	0	.	0	.	0	57	0	.	0	100	0	100	0	.	1	70	0	.	0	100	0	.	0	45	0	27
	maple	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	99	0	.	0	.	0	.	0	100
	ash	0	.	0	100	0	.	0	.	0	100	0	.	0	.	0	71	0	.	0	.	0	.	0	.	0	.	0	.	0	51
	oak	0	.	0	.	0	.	0	.	0	50	0	.	0	.	0	100	0	.	0	99	0	.	0	.	0	.	0	.	0	41
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	47	0	47
	other broadleaves	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	1	30	0	70	1	38	1	28	2	22	1	45	1	26	2	26	1	37	2	39	2	36	1	27	2	21	2	23	1	8
91-100 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	0	71	0	.	0	.	0	100	0	70	0	99	0	100	0	.	1	50	0	.	1	43	0	57	0	43	0	72	0	20
	fir	0	50	0	.	0	.	0	100	0	100	0	.	0	100	0	100	0	.	0	99	0	99	0	.	0	.	0	58	0	28
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	100
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	44	0	100	0	.	0	41
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	70	0	.	0	.	0	71
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	beech	0	.	0	.	0	.	0	.	0	52	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	46
	maple	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	100
	ash	0	.	0	.	0	.	0	100	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	71
	oak	0	.	0	.	0	.	0	100	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	71
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	53	0	48
	other broadleaves	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	.
	total	0	41	0	.	0	.	0	50	1	34	0	99	0	70	0	71	1	50	0	99	2	36	1	29	1	36	1	35	0	13
>100 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	0	71	0	.	0	100	0	100	0	.	0	100	0	70	0	70	0	100	0	.	1	70	0	100	0	58	0	72	0	24
	fir	0	71	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	58
	pine	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	100	0	100	0	74
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	100	0	.	0	71
	other conifers	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	.
	maple	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	.
	oak	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	57	0	57
	other broadleaves	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	0	50	0	.	0	100	0	70	0	100	0	100	0	57	0	70	0	100	0	.	1	70	0	71	0	45	1	41	0	19
total	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	103	7	67	20	101	18	127	11	105	10	266	11	221	9	206	9	265	8	270	13	213	14	224	8	292	6	103	13	174	3
	fir	109	7	29	27	42	20	92	11	33	13	87	19	115	9	62	14	39	20	101	20	26	25	17	24	7	26	14	24	54	4
	pine	11	23	15	25	8	39	7	32	7	20	0	.	11	52	1	55	6	56	18	49	0	.	63	19	44	19	3	58	16	10
	larch	0	58	3	50	18	63	1	48	6	35	5	72	1	84	3	81	10	36	0	.	8	64	87	10	38	11	50	14	21	7
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	19	24	22	24	0	100	4	17
	other conifers	3	39	7	48	1	71	5	28	7	37	0	.	1	52	2	40	0	100	5	99	3	63	2	56	7	42	0	70	3	16
	beech	127	6	165	9	112	15	92	8	89	8	61	22	99	10	101	12	63	19	81	23	110	20	26	27	15	24	106	13	86	3
	maple	39	11	43	17	28	33	19	18	35	12	33	22	25	18	38	17	52	17	27	27	46	24	14	25	6	31	10	26	26	5
	ash	16	18	35	20	37	22	17	18	25	14	25	29	18	26	25	19	18	28	35	33	18	33	10	26	6	49	20	23	19	6
	oak	15	30	15	28	34	29	8	22	8	17	3	49	1	49	1	66	4	67	4	56	0	.	12	33	1	72	20	25	9	11
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	1	74	0	72	127	12	15	12
	other broadleaves	25	13	32	17	40	20	31	19	39	14	32	23	20	17	27	25	45	19	39	28	45	29	56	14	39	23	138	10	47	5
	indeterminable	2	32	0	100	0	.	0	100	1	49	2	44	2	29	1	43	3	34	1	99	1	99	1	36	2	32	1	50	1	12
	total	450	3	411	6	421	7	399	5	355	4	513	7	513	4	468	5	505	5	581	8	468	8	534	4	479	4	593	4	476	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. 1297022. Birmensdorf, Swiss Federal Research Institute WSL

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