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.

NFI1
total number of stems NFI1
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 1983/85
		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	57	15	41	32	54	22	65	19	65	16	159	16	94	12	85	15	78	13	102	19	81	23	85	12	98	9	24	15	72	4
	fir	49	10	11	36	27	32	42	18	13	19	33	24	43	11	23	17	15	28	40	30	13	38	6	35	3	29	5	34	23	5
	pine	2	35	10	63	6	93	2	82	2	39	0	.	5	66	0	.	3	87	9	55	0	.	42	21	21	24	1	69	8	13
	larch	0	100	1	70	1	100	0	100	1	51	0	.	0	.	0	.	1	74	0	.	3	71	27	17	8	22	15	20	5	11
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	33	7	24	0	.	1	19
	other conifers	1	40	7	68	0	100	2	42	3	55	0	.	0	.	1	44	0	100	3	74	2	72	1	100	1	78	0	.	1	23
	beech	69	9	87	14	53	17	49	11	48	11	29	30	52	13	47	17	32	24	47	30	43	24	13	34	9	26	54	15	44	4
	maple	14	15	15	25	5	49	5	31	12	20	16	25	9	19	12	24	18	28	10	36	20	38	5	38	1	57	2	32	9	7
	ash	10	25	10	34	17	29	6	29	14	18	18	35	12	34	19	27	8	38	8	39	15	57	4	36	4	67	8	27	10	9
	oak	8	37	3	40	38	39	5	41	3	29	4	63	1	51	1	70	3	61	1	99	0	.	4	36	0	100	11	38	5	17
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	72	0	.	72	15	8	15
	other broadleaves	17	18	17	28	25	37	15	32	24	17	24	26	16	23	27	28	20	21	41	47	19	34	25	18	18	23	75	11	27	6
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	227	5	201	11	226	11	189	9	185	7	283	11	233	6	216	9	178	9	262	13	196	15	216	7	169	6	267	6	215	2
21-30 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	30	10	23	28	53	20	36	14	30	13	85	15	62	11	71	14	59	14	75	18	66	25	55	11	70	9	21	17	48	4
	fir	28	11	7	33	12	41	29	16	11	19	22	27	24	12	18	18	7	29	23	36	9	35	3	41	1	40	1	48	14	6
	pine	4	33	5	50	6	52	1	55	2	34	0	.	2	62	0	.	2	76	13	42	0	.	20	20	12	20	1	55	5	11
	larch	0	100	1	70	1	73	1	85	1	53	0	.	0	.	0	.	1	57	0	.	3	78	20	17	10	18	10	21	4	10
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	28	6	29	0	.	1	21
	other conifers	0	.	1	70	1	100	0	100	1	50	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	35
	beech	46	9	59	14	35	18	30	14	27	12	16	26	25	15	37	16	20	19	19	29	25	23	5	40	5	31	22	16	26	4
	maple	8	15	8	27	1	76	4	29	10	19	5	45	5	21	11	21	10	29	9	36	18	27	1	50	1	48	0	58	6	7
	ash	6	21	9	35	14	31	6	23	8	19	3	54	4	31	13	23	4	42	7	71	7	58	1	49	2	64	1	50	5	9
	oak	5	26	6	39	11	26	5	25	5	25	1	99	0	70	1	100	0	100	1	99	0	.	1	64	0	.	4	34	3	11
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	100	22	18	3	17
	other broadleaves	5	22	7	30	12	45	5	29	9	19	2	53	2	38	7	32	4	37	5	39	7	41	3	32	3	52	20	15	7	8
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	133	4	125	10	145	9	118	7	104	6	134	10	124	6	157	8	109	9	151	11	134	13	114	7	109	6	103	6	121	2
31-40 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	23	10	16	22	44	18	34	12	31	10	59	14	44	9	46	12	50	13	50	20	34	18	32	11	44	8	14	16	34	3
	fir	18	10	8	33	8	39	20	13	9	15	12	26	15	14	15	16	6	29	11	34	5	38	2	46	1	31	2	34	9	5
	pine	4	25	10	28	8	39	3	39	7	24	0	.	1	49	0	71	1	71	3	59	0	.	5	21	7	21	1	67	4	10
	larch	0	.	1	76	1	72	1	54	1	40	0	.	0	.	0	.	1	52	0	.	0	.	13	14	10	16	6	21	3	9
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	2	37	4	24	0	.	1	20
	other conifers	0	.	0	.	0	100	1	69	0	81	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	45
	beech	26	8	26	14	22	20	22	13	12	14	8	33	16	15	20	18	7	26	7	38	16	26	1	56	2	34	6	18	13	5
	maple	3	19	6	29	1	83	1	48	2	29	2	62	2	42	5	26	2	38	2	56	6	38	0	100	0	72	0	77	2	10
	ash	2	29	3	33	4	34	3	30	7	17	1	75	2	33	3	34	2	47	1	71	2	59	0	100	0	100	0	84	2	10
	oak	2	32	3	35	6	33	2	33	3	26	0	.	0	100	0	100	0	.	0	99	0	.	0	.	0	72	2	37	1	13
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	70	0	100	5	21	1	20
	other broadleaves	2	27	5	34	5	36	1	39	2	27	0	100	0	63	1	44	4	38	1	99	3	43	1	45	1	54	4	25	2	11
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	79	4	77	9	99	9	86	6	75	6	83	11	80	6	90	7	73	9	76	14	66	12	58	7	70	6	41	8	73	2
41-50 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	16	8	13	24	22	16	23	12	19	10	33	12	27	8	30	10	33	11	28	15	27	16	17	10	25	8	9	14	21	3
	fir	8	11	2	32	4	42	10	13	6	17	6	22	12	11	10	17	5	26	4	37	3	40	2	33	1	39	2	31	6	5
	pine	2	22	3	35	4	41	3	27	5	21	0	.	1	62	1	64	1	64	0	99	0	.	2	35	3	24	0	100	2	10
	larch	0	100	1	74	0	100	0	100	1	35	0	.	0	100	0	100	1	49	0	99	0	70	9	13	6	15	4	16	2	8
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	46	1	28	0	.	0	24
	other conifers	0	.	0	.	1	100	1	62	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	54
	beech	10	10	14	17	6	22	11	16	8	13	2	41	8	19	7	19	3	30	5	35	9	26	0	59	2	32	3	21	6	5
	maple	1	29	1	37	0	70	0	70	1	34	1	50	0	59	1	45	1	39	1	70	2	40	0	.	0	57	0	.	1	13
	ash	1	32	1	37	2	38	1	51	2	22	0	.	1	50	1	36	0	100	1	99	1	51	0	.	0	.	0	72	1	12
	oak	1	32	1	45	3	51	1	41	2	26	0	.	0	.	0	.	0	.	0	99	0	.	0	.	0	76	0	51	1	16
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	100	3	22	0	21
	other broadleaves	0	60	1	70	1	70	0	44	1	42	0	.	0	58	0	71	1	52	1	57	0	70	0	52	0	100	1	44	0	16
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	38	5	37	11	43	10	50	7	46	6	42	10	49	6	49	7	45	9	40	12	42	12	31	7	39	5	21	8	40	2
51-60 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	8	11	3	29	9	21	9	13	8	14	13	18	12	11	15	13	14	14	13	21	12	22	8	13	12	10	4	16	9	4
	fir	3	17	0	70	1	38	5	19	2	23	4	34	5	17	3	21	3	31	5	36	2	43	1	46	0	43	0	49	2	7
	pine	1	35	0	100	1	50	1	50	1	28	0	.	0	76	0	.	0	.	0	.	0	.	0	44	1	32	0	71	1	15
	larch	0	100	0	100	0	100	0	.	0	41	0	.	0	71	0	100	1	42	1	99	1	70	5	16	3	18	2	21	1	10
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	71	1	33	0	.	0	30
	other conifers	0	.	0	.	0	100	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	73
	beech	2	18	7	20	2	39	3	19	3	18	1	49	4	25	2	30	2	29	2	52	2	49	0	100	0	52	1	30	2	8
	maple	0	66	0	100	0	.	0	100	0	41	0	100	0	.	0	74	0	70	0	.	0	.	0	.	0	100	0	.	0	26
	ash	0	58	0	.	1	50	0	70	1	32	0	100	0	100	0	100	0	100	0	.	0	.	0	.	0	100	0	.	0	21
	oak	0	60	1	46	1	60	0	74	1	27	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	20
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	1	28	0	27
	other broadleaves	0	100	1	57	0	70	0	100	0	61	0	.	0	100	0	.	1	59	0	.	1	100	0	74	0	.	0	57	0	23
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	14	8	13	14	15	13	19	9	17	8	18	15	21	8	21	10	21	11	21	18	18	17	14	9	18	7	9	10	16	3
61-70 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	2	18	1	51	3	26	2	26	2	21	4	25	3	17	4	20	3	24	6	30	6	35	2	28	3	16	2	26	3	6
	fir	1	22	0	100	0	70	1	33	0	38	0	100	2	22	1	40	0	57	0	.	0	.	0	71	0	100	0	58	1	12
	pine	0	100	0	100	0	.	0	100	0	50	0	.	0	100	0	100	0	.	0	.	0	.	0	.	0	50	0	.	0	29
	larch	0	.	0	.	0	.	0	100	0	100	0	.	0	.	0	71	0	100	0	.	0	99	2	25	1	25	1	33	0	15
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	62	0	.	0	53
	other conifers	0	.	0	.	0	.	0	100	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	71
	beech	0	35	2	41	1	61	1	39	2	28	0	70	1	46	0	71	1	50	0	99	0	99	0	100	0	52	0	38	1	13
	maple	0	.	1	49	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	50
	ash	0	100	0	100	0	100	0	.	0	71	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	43
	oak	0	.	0	100	0	.	0	100	0	58	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	42
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	43	0	43
	other broadleaves	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	100	0	100	0	.	0	.	0	100	0	.	0	100	0	45
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	3	14	4	24	5	23	4	17	5	14	5	25	7	12	6	18	5	19	7	28	7	33	4	18	5	12	4	16	5	5
71-80 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	1	31	0	100	1	52	1	40	0	42	1	49	1	35	3	30	1	34	1	70	2	46	1	34	1	21	1	38	1	10
	fir	1	33	0	100	0	100	0	58	0	50	0	.	1	27	0	71	0	100	1	99	0	100	0	.	0	70	0	60	0	16
	pine	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	71
	larch	0	100	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	31	0	37	0	45	0	21
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	52	0	71	0	.	0	43
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	beech	0	.	0	99	0	100	0	71	0	51	0	.	0	71	0	100	0	100	0	.	0	.	0	100	0	.	0	100	0	27
	maple	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	1	72	0	.	0	.	0	.	0	60
	ash	0	.	0	.	0	100	0	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	59
	oak	0	.	0	.	0	100	0	72	0	50	0	.	0	.	0	.	0	.	0	99	0	.	0	.	0	.	0	.	0	36
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	1	50	0	47
	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	1	23	1	57	2	34	2	24	1	23	1	44	2	21	3	27	2	33	2	52	3	36	3	20	2	17	2	24	2	7
81-90 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	0	71	0	100	0	71	0	57	0	.	0	99	0	100	0	58	0	70	0	99	2	46	0	70	0	45	0	71	0	18
	fir	0	100	0	.	0	.	0	.	0	.	0	.	0	41	0	100	0	100	0	.	0	.	0	100	0	.	0	72	0	29
	pine	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	70	0	57	0	.	0	45
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	100
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	beech	0	.	0	99	0	100	0	58	0	100	0	.	0	.	0	.	0	.	0	99	0	.	0	.	0	70	0	.	0	33
	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	100	0	100	0	.	0	57	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	45
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	50	0	50
	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	58	1	57	1	49	1	48	0	50	0	99	1	37	0	50	0	57	1	70	2	46	0	40	1	31	1	35	0	13
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	100	0	.	0	100	0	.	0	100	0	100	0	.	0	99	1	57	0	.	0	58	0	.	0	28
	fir	0	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	70
	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	71	0	.	0	100	0	58
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	100
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	beech	0	.	0	.	0	100	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	71
	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	51	0	51
	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	50	0	.	0	70	0	.	0	58	0	.	0	100	0	100	0	.	0	99	1	57	0	57	0	58	0	46	0	20
>100 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	0	.	0	.	0	.	0	.	0	.	0	99	0	.	0	.	0	100	0	.	0	.	0	71	0	.	0	100	0	45
	fir	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	73
	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	71
	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	.	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	49	0	49
	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	100	0	.	0	.	0	.	0	.	0	99	0	.	0	.	0	100	0	.	0	.	0	57	0	71	1	38	0	26
total	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	137	8	97	20	186	13	169	10	155	8	355	10	242	7	255	9	239	9	277	14	230	15	198	9	253	6	76	11	189	2
	fir	107	8	28	26	53	25	106	12	42	12	78	20	103	8	69	12	36	21	85	26	33	28	14	28	8	25	11	27	54	4
	pine	13	20	28	27	24	36	10	29	18	16	0	.	9	52	1	57	7	58	26	43	0	.	70	18	45	17	3	51	20	9
	larch	0	55	3	41	4	62	2	59	5	29	0	.	0	72	1	58	5	36	1	99	8	56	78	10	39	11	38	14	17	7
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	12	23	19	19	0	.	3	15
	other conifers	1	40	8	66	3	70	4	35	4	46	0	.	0	100	1	44	0	100	3	74	2	76	1	85	1	78	0	.	2	20
	beech	153	6	195	10	119	14	116	9	101	8	57	21	105	11	113	13	64	18	80	25	94	19	19	31	18	23	87	14	92	3
	maple	26	11	31	17	8	40	10	24	25	15	24	25	17	15	30	16	31	22	21	30	46	25	6	37	3	36	3	32	17	6
	ash	19	19	24	26	38	22	16	19	33	13	23	33	19	27	35	20	15	32	17	40	25	48	5	31	5	61	9	25	18	7
	oak	15	27	14	24	58	29	13	23	14	15	4	56	2	48	2	59	3	64	3	58	0	.	5	38	1	75	17	27	10	11
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	60	0	100	105	13	12	13
	other broadleaves	25	15	30	20	43	29	21	25	37	15	26	25	19	20	35	25	30	20	47	43	30	29	30	18	22	23	100	10	36	5
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	496	3	458	6	536	6	469	4	433	4	567	7	516	4	543	5	432	6	560	8	468	10	440	5	414	4	449	4	473	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. 1344365. Birmensdorf, Swiss Federal Research Institute WSL

back