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.

NFI4–NFI5
increment (gross increment)
altitude (in 400 m classes) · main tree species
regional demarcation: canton
unit: 1000 m³/yr
evaluation area: accessible forest without shrub forest NFI1-NFI5
grid: 1.4 km grid, subgrids 1-5
change 2009/17–2018/26
		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
altitude (in 400 m classes)	main tree species	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%	1000 m³/yr	±%
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	.
>1800 m	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	.	19	46	0	.	0	.	0	.	0	.	80	25	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	48	0	.	0	.	30	26	0	.	0	.	142	17
	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	.	10	42	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	1	79	0	.	0	.	11	37
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	58	19	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	74	0	.	0	.	43	32	0	.	0	.	108	17
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	35	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	11	49	0	.	0	.	41	29
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	44	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	44
	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	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	100	0	.	0	.	0	74
	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	.	19	46	0	.	0	.	0	.	0	.	178	15	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	39	0	.	0	.	85	20	0	.	0	.	302	11
1401-1800 m	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	.	121	21	0	.	15	46	0	.	16	43	395	11	0	.	16	46	0	.	4	73	32	45	35	46	0	.	0	.	24	52	0	.	64	23	25	59	81	25	198	16	0	0	0	.	1023	7
	fir	0	.	0	.	0	.	16	41	0	.	0	.	0	.	0	.	17	57	0	.	0	0	0	.	-1	102	3	111	0	.	0	.	0	.	2	96	0	.	7	60	-1	130	26	48	7	68	0	.	0	.	75	25
	pine	0	.	0	.	0	.	2	69	0	.	0	.	0	.	0	.	9	41	0	.	0	.	0	.	0	100	4	91	0	.	0	.	0	.	2	100	0	.	-4	91	0	.	0	.	6	66	0	.	0	.	19	41
	larch	0	.	0	.	0	.	1	82	0	.	0	.	0	.	0	.	48	24	0	.	0	.	0	.	0	.	0	.	1	94	0	.	0	.	0	.	0	.	50	29	0	0	8	57	36	39	0	.	0	.	144	16
	Arolla pine	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	-1	109	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	80	0	.	0	.	3	111
	other conifers	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	63
	beech	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	62	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	42	0	.	1	71	0	.	0	.	0	.	21	35
	maple	0	.	0	.	0	.	0	17961	0	.	1	72	0	.	0	.	2	117	0	.	0	100	0	.	0	100	0	100	0	.	0	.	0	.	0	100	0	.	0	75	0	.	2	44	1	58	0	.	0	.	7	95
	ash	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	100
	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	.	2	86	0	.	0	0	0	.	0	100	23	43	0	.	0	72	0	.	0	71	0	100	0	77	0	.	0	.	0	127	0	.	2	55	1	86	1	60	12	37	0	.	0	.	41	27
	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
	total	0	.	0	.	0	.	143	21	0	.	15	45	0	.	16	43	496	10	0	.	17	46	0	.	4	86	39	41	37	44	0	.	0	.	27	50	0	.	135	17	25	63	120	25	261	15	0	0	0	.	1332	6
1001-1400 m	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	.	13	40	26	49	169	16	0	.	89	20	0	.	21	68	184	19	8	80	49	25	61	21	15	50	22	49	88	27	0	.	9	79	66	25	0	.	19	39	41	38	104	22	52	24	7	78	7	97	1050	6
	fir	0	.	10	57	5	78	105	21	0	.	34	61	0	.	4	79	7	78	23	58	58	33	65	27	5	83	12	49	17	37	0	.	9	53	47	32	0	.	18	37	3	123	107	18	32	37	6	76	7	71	575	9
	pine	0	.	0	.	0	100	0	100	0	.	0	.	0	.	0	.	18	56	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	2	100	1	89	0	0	10	41	0	.	0	.	31	36
	larch	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	16	49	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	94	0	.	1	92	16	38	0	.	0	.	40	29
	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	100	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	100	1	71	0	100	0	.	0	.	3	75
	beech	0	.	8	69	5	99	68	22	0	.	12	60	0	.	11	54	16	45	0	72	9	46	10	40	-3	110	-2	390	42	36	0	.	15	39	14	61	0	.	71	28	12	48	42	26	1	593	-1	100	3	67	334	11
	maple	0	.	1	99	4	93	18	30	0	.	7	48	0	.	11	54	1	104	1	78	2	71	14	54	1	46	-1	333	10	35	0	.	4	51	2	37	0	.	3	103	4	53	16	45	4	44	0	.	0	.	101	15
	ash	0	.	0	.	0	0	2	87	0	.	2	72	0	.	5	73	1	57	0	100	0	60	1	59	1	100	1	83	0	1457	0	.	0	73	1	65	0	.	12	82	6	71	1	538	4	49	0	.	0	100	38	34
	oak	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	58	0	.	0	100	1	48	0	.	0	.	2	35
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	70	0	.	0	.	0	.	0	.	0	.	0	70
	other broadleaves	0	.	0	0	0	100	7	37	0	.	2	56	0	.	1	74	25	57	0	71	4	70	1	54	0	73	0	81	2	94	0	.	0	100	1	49	0	.	21	31	-2	110	1	111	6	70	0	.	0	.	71	24
	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
	total	0	.	32	42	40	50	368	12	0	.	147	20	0	.	52	39	269	16	32	49	124	23	150	18	20	49	32	53	161	21	0	.	37	34	132	21	0	.	154	18	65	30	273	14	126	19	11	74	17	57	2245	5
601-1000 m	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	19	47	33	54	30	43	205	15	8	51	47	39	0	.	12	57	56	24	18	41	79	24	34	33	11	101	7	91	85	20	11	45	17	40	9	80	30	34	28	67	12	49	83	24	12	59	14	50	79	24	937	7
	fir	9	41	7	61	30	46	264	13	12	45	27	38	0	.	1	255	13	46	53	24	142	20	67	26	3	60	11	57	86	27	5	67	32	33	9	57	13	86	1	100	4	110	78	21	3	56	6	56	35	24	912	7
	pine	0	.	0	.	0	.	12	64	0	100	1	60	0	.	0	.	10	46	0	495	5	72	4	62	0	.	0	.	2	71	1	81	2	104	0	.	2	60	0	.	2	96	2	77	4	59	0	.	7	65	56	22
	larch	0	100	0	.	0	.	2	89	0	94	0	0	0	.	-1	100	7	55	0	.	1	64	0	100	0	.	0	.	2	97	0	100	0	.	1	100	3	100	3	93	0	.	7	70	4	55	1	100	4	62	34	26
	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	1	100	0	.	1	71	11	52	0	.	0	.	0	.	0	100	0	.	2	90	9	66	0	100	0	.	0	100	4	109	0	.	4	69	0	100	0	100	0	.	0	.	3	62	0	0	0	.	3	64	39	27
	beech	24	44	2	72	5	54	193	14	20	39	53	27	0	.	9	66	11	54	43	25	57	35	25	35	13	59	1	189	64	31	14	54	38	27	12	47	13	37	35	34	-1	403	82	23	7	49	8	56	49	27	778	7
	maple	3	53	0	.	5	63	25	27	-2	172	2	197	0	.	-1	148	13	45	9	38	4	95	10	48	-1	692	-1	162	31	56	1	100	19	48	7	49	8	44	3	60	-1	190	16	39	7	59	1	105	18	36	177	15
	ash	2	53	0	.	6	91	12	50	2	54	25	54	0	.	7	58	7	74	8	55	7	54	1	51	8	55	5	92	37	41	2	78	4	84	8	52	4	79	4	53	1	80	14	43	4	77	4	69	11	38	183	15
	oak	2	67	0	.	0	.	7	60	0	100	5	53	0	.	0	.	2	78	0	100	1	118	0	121	0	100	0	.	1	100	0	100	3	54	0	100	1	59	6	46	0	.	6	55	4	58	0	.	2	53	40	19
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	55	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	60	31	0	.	0	106	1	100	0	.	0	.	69	27
	other broadleaves	5	41	0	100	2	78	17	33	1	62	10	50	0	.	2	60	13	58	3	61	3	77	1	153	0	1900	2	45	5	39	0	100	7	47	6	48	0	0	29	37	0	64	6	43	11	40	1	75	6	42	129	14
	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
	total	64	27	42	46	79	34	749	9	42	32	170	22	0	.	28	38	141	17	137	18	308	15	142	19	34	48	26	43	317	17	34	35	125	21	52	30	73	25	170	17	18	47	299	14	57	26	36	38	213	16	3355	4
=600 m	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	118	23	0	.	0	.	123	18	12	48	18	42	0	75	0	.	0	.	19	33	18	54	0	100	0	.	10	100	15	54	17	31	19	44	0	.	64	27	3	73	0	180	7	41	0	.	0	100	114	19	559	8
	fir	40	33	0	.	0	.	79	20	4	63	2	88	1	100	0	.	0	.	31	46	32	37	0	.	0	.	6	100	4	68	0	63	11	48	0	100	33	44	0	.	-2	91	10	67	0	.	2	100	19	32	274	12
	pine	-1	363	0	.	0	.	3	103	9	43	2	138	1	87	0	.	0	.	7	85	0	100	0	.	0	.	0	.	0	.	11	59	0	66	0	.	4	74	0	.	1	100	0	83	-2	83	0	.	8	32	46	27
	larch	6	116	0	.	0	.	3	89	0	.	3	73	0	.	0	.	0	.	0	100	0	.	0	.	0	.	1	100	1	100	1	76	0	100	0	.	1	74	0	100	0	.	7	68	0	0	0	.	3	43	25	36
	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	8	58	0	.	0	.	9	60	7	100	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	1	80	4	100	0	.	0	.	0	100	2	92	0	.	5	100	0	.	0	.	1	71	36	33
	beech	102	16	0	.	0	.	86	19	32	29	9	114	0	.	0	.	0	.	13	36	24	35	1	100	0	.	0	0	26	44	23	34	25	30	5	77	36	28	3	57	6	75	12	37	0	1955	1	100	69	19	475	8
	maple	19	30	0	.	0	.	21	33	6	59	2	69	0	.	0	.	0	.	-2	390	4	64	0	.	0	.	0	.	7	62	2	54	2	125	1	97	5	192	4	78	0	.	7	63	3	96	0	.	30	31	109	18
	ash	18	33	0	.	0	.	15	38	1	412	13	79	1	100	0	.	2	82	7	44	5	58	1	89	0	.	0	.	6	53	6	89	1	595	1	278	21	37	9	54	0	100	29	46	1	49	2	100	20	34	158	15
	oak	14	60	0	.	0	.	9	43	0	2443	3	65	12	77	0	.	0	.	2	126	4	100	0	.	0	.	0	.	2	86	6	51	4	65	0	.	12	68	10	47	1	65	15	39	0	76	0	.	9	36	102	18
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	38	0	.	0	.	0	67	0	.	0	.	29	36
	other broadleaves	24	28	0	.	0	.	20	36	5	44	10	41	1	79	0	.	7	84	0	825	5	63	0	100	0	.	0	100	7	57	1	54	10	67	2	100	17	58	38	45	0	6780	15	68	4	66	0	0	18	35	184	15
	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
	total	348	12	0	.	0	.	365	12	76	25	62	38	16	62	0	.	9	72	78	27	92	25	2	71	0	.	18	73	68	32	73	25	73	25	9	63	195	17	96	24	7	79	108	25	7	103	5	100	292	12	1997	5
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	136	20	45	40	56	33	637	8	20	35	170	16	0	75	49	35	713	8	45	26	163	16	96	18	30	45	71	30	223	15	29	26	46	29	99	22	94	21	126	20	79	28	275	13	291	12	21	42	200	14	3711	3
	fir	48	28	17	42	35	41	463	10	15	37	63	37	1	100	5	79	38	34	106	21	232	16	132	19	6	69	32	35	107	23	6	62	52	24	59	28	46	40	26	30	4	154	222	13	42	30	15	42	61	19	1837	5
	pine	-1	363	0	.	0	100	16	50	9	43	3	93	1	87	0	.	47	26	8	88	5	71	4	62	0	100	4	91	2	71	12	56	3	86	2	96	6	54	-2	201	4	63	3	67	20	32	0	.	15	34	163	14
	larch	6	120	0	.	0	.	5	57	0	94	3	62	0	.	-1	100	129	14	0	100	1	58	0	100	0	.	1	100	4	60	1	86	0	100	1	100	5	71	67	25	0	0	23	36	100	21	2	100	6	39	351	10
	Arolla pine	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	29	37	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	13	44	0	.	0	.	43	28
	other conifers	10	52	0	.	1	71	19	39	7	100	0	.	0	.	0	100	1	41	2	90	9	64	0	100	0	.	0	100	7	70	4	100	4	69	0	100	0	86	2	92	0	100	9	61	0	93	0	.	4	53	80	20
	beech	126	15	11	56	9	56	345	10	53	23	74	26	0	.	20	42	32	31	56	21	89	24	36	27	10	79	-1	1573	131	21	37	29	78	18	30	35	50	23	125	19	18	49	138	16	8	93	8	62	122	15	1608	4
	maple	22	27	1	99	10	54	64	19	4	105	11	43	0	.	10	66	15	40	8	87	11	46	23	37	1	454	-1	219	48	38	3	53	24	39	10	36	12	79	10	46	3	68	43	26	14	37	1	105	48	24	394	9
	ash	20	30	0	.	6	91	29	30	3	134	39	43	1	100	12	45	10	55	16	35	12	38	3	39	9	49	6	79	43	36	8	73	5	118	10	49	25	34	25	45	7	59	43	35	9	42	6	57	32	26	378	10
	oak	16	54	0	.	0	.	16	36	0	194	8	41	12	77	0	.	2	78	2	122	5	81	0	121	0	100	0	.	4	67	6	51	6	44	0	100	13	64	17	32	1	65	20	32	6	41	0	.	11	32	144	14
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	50	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	88	24	0	.	0	106	1	64	0	.	0	.	99	21
	other broadleaves	28	24	0	100	2	74	44	21	6	37	22	29	1	79	3	43	68	29	4	78	12	40	1	82	1	334	3	42	14	34	2	50	17	44	9	41	18	58	91	23	0	526	24	45	33	24	1	75	23	28	425	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	0	.	0	0	0	0
	total	412	11	74	31	119	28	1640	6	118	20	394	13	16	62	97	25	1092	6	247	14	540	11	296	13	57	33	115	25	583	12	107	20	236	14	220	16	268	14	574	8	116	23	799	9	536	9	53	32	521	9	9232	2

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. 1399442. Birmensdorf, Swiss Federal Research Institute WSL

back