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: 1000 n
evaluation area: accessible forest without shrub forest NFI4/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	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%
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	5780	12	1375	31	1458	33	4896	17	4281	15	4431	17	8947	13	4608	16	6210	13	2569	20	2410	21	9976	11	16463	8	5766	15	79170	4
	fir	7132	10	366	32	735	28	2970	17	1176	21	1203	22	4545	15	1516	21	696	26	1118	25	263	35	629	27	191	37	698	27	23238	6
	pine	203	35	74	62	39	100	123	60	93	68	0	.	383	57	0	.	200	64	226	79	65	100	2652	26	3330	24	181	60	7569	15
	larch	0	.	74	80	469	85	33	100	288	52	175	73	67	81	98	100	235	50	0	.	182	54	3274	14	1877	18	3281	17	10055	9
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	752	31	1745	27	49	74	2546	20
	other conifers	387	45	103	62	0	.	141	39	431	50	0	.	50	58	134	47	190	78	179	75	67	60	173	56	893	38	20	100	2768	18
	beech	7347	10	3192	16	1980	28	3035	16	4181	14	905	32	3829	13	2269	19	1549	24	632	27	1648	27	1469	27	641	25	6441	14	39119	5
	maple	2971	16	1056	25	738	43	841	25	1680	15	453	32	1277	27	1083	25	1729	20	385	31	486	41	1542	26	373	35	1353	28	15967	7
	ash	1162	22	821	29	550	34	499	30	1215	23	402	39	747	25	505	30	620	30	534	41	172	57	926	30	467	35	1660	22	10279	8
	oak	1128	43	193	45	516	42	129	43	201	42	39	71	15	100	0	.	123	87	18	100	35	100	805	35	15	100	1184	37	4403	17
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	131	77	18	100	7956	15	8105	15
	other broadleaves	2775	14	837	23	1166	23	1672	23	2521	17	1489	26	1716	19	1357	25	2224	22	1276	39	915	33	4674	14	4039	20	12384	11	39046	5
	indeterminable	141	44	0	.	0	.	17	100	33	70	54	58	68	50	86	45	73	50	0	.	18	100	90	45	181	37	110	41	871	15
	total	29024	5	8092	13	7651	15	14356	10	16100	8	9150	13	21643	8	11657	11	13850	10	6938	16	6262	15	27095	7	30234	7	41082	6	243136	2
21-30 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	3125	12	589	27	1164	27	2263	18	2914	15	3076	18	5476	12	3669	15	3257	14	1911	19	1513	22	5649	13	10227	8	3623	13	48458	4
	fir	4009	10	380	37	244	39	1595	19	781	23	768	27	2591	13	858	21	502	28	492	27	118	44	341	30	191	40	338	32	13208	6
	pine	408	36	190	41	52	74	151	69	144	44	0	.	278	79	0	.	70	61	164	51	101	74	2241	20	1267	22	52	58	5118	12
	larch	0	.	17	100	140	67	17	100	187	50	0	.	17	100	49	100	121	55	0	.	71	79	2335	16	1410	21	2796	15	7161	9
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	614	26	1284	22	16	100	1914	17
	other conifers	69	61	69	61	20	100	20	100	138	35	0	.	17	100	36	71	87	82	0	.	18	100	17	100	35	71	0	.	525	22
	beech	4742	10	1299	19	981	21	1196	15	2255	13	694	26	2667	15	1650	18	818	25	687	29	682	29	674	36	561	33	3994	16	22899	5
	maple	1572	13	522	24	282	32	260	33	1393	20	545	24	760	23	871	21	702	28	214	43	545	29	457	28	194	45	306	31	8625	7
	ash	514	25	349	31	289	33	208	33	485	23	305	34	496	34	722	26	247	39	187	37	202	43	417	38	278	66	710	31	5408	9
	oak	611	35	139	58	463	33	161	37	88	45	19	100	91	61	74	77	54	58	18	100	0	.	288	38	15	100	872	22	2894	13
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	37	71	15	100	4496	14	4549	14
	other broadleaves	793	24	314	29	330	32	467	30	1093	17	331	37	424	28	806	34	598	23	349	44	280	31	1384	19	1548	24	5085	12	13801	7
	indeterminable	54	58	0	.	0	.	0	.	17	100	22	100	67	51	0	.	15	100	0	.	0	.	36	71	75	62	18	100	305	26
	total	15897	5	3869	12	3964	13	6338	11	9497	8	5759	14	12884	8	8735	10	6472	10	4022	15	3530	16	14491	8	17100	7	22304	5	134863	2
31-40 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	2813	11	285	40	553	24	1023	18	1734	15	2067	16	3463	12	3028	12	2713	13	1132	20	839	22	3697	11	6059	8	2284	14	31690	3
	fir	1974	12	207	37	219	38	901	18	426	26	663	26	1355	15	616	22	300	27	320	35	109	39	312	35	144	31	283	31	7830	6
	pine	611	27	207	32	89	57	107	57	133	30	0	.	195	55	6	100	75	72	176	54	53	100	832	20	679	23	147	51	3311	11
	larch	0	.	14	71	52	64	0	.	45	60	9	100	0	.	0	.	119	52	0	.	74	73	1627	15	1186	16	1622	15	4748	8
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	342	31	648	24	0	.	1000	19
	other conifers	0	.	31	81	7	100	59	51	41	85	0	.	0	.	0	.	7	100	0	.	15	100	17	100	0	.	0	.	177	33
	beech	3563	10	1060	17	619	20	1094	16	1237	14	474	32	1352	14	1503	15	526	24	390	33	340	28	291	32	324	27	1762	15	14535	4
	maple	779	18	173	33	60	42	249	27	473	19	147	45	511	21	548	23	314	32	142	55	258	31	64	48	118	42	187	42	4024	8
	ash	383	32	150	38	390	35	233	25	512	21	182	51	287	54	319	27	194	43	110	66	122	44	190	38	124	46	169	32	3364	10
	oak	262	30	128	37	143	41	92	63	146	33	29	77	0	.	16	71	9	100	7	100	0	.	114	43	7	100	313	27	1266	13
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	87	62	0	.	1646	18	1733	17
	other broadleaves	289	28	87	44	139	53	208	30	322	24	9	100	69	60	180	35	113	38	51	48	52	46	142	30	163	33	1823	16	3648	10
	indeterminable	34	71	0	.	0	.	0	.	17	100	6	100	21	58	14	71	58	52	0	.	7	100	7	100	41	61	19	100	224	25
	total	10709	6	2343	13	2273	14	3966	10	5085	8	3584	13	7254	8	6230	9	4437	10	2329	15	1868	15	7722	8	9493	7	10256	6	77548	2
41-50 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	1957	9	249	29	452	22	698	19	1153	12	1469	13	2318	11	1719	12	1893	13	722	23	647	19	2046	11	3998	8	1575	13	20895	3
	fir	1522	10	145	40	159	32	595	16	496	17	265	24	916	12	530	16	198	31	298	30	113	33	181	34	95	33	184	29	5699	5
	pine	251	24	115	33	61	43	68	34	237	23	0	.	127	61	7	100	35	66	37	54	21	100	310	27	385	23	41	52	1697	10
	larch	7	100	14	70	29	61	21	74	47	55	0	.	0	.	7	100	36	68	0	.	35	82	1277	15	965	14	912	14	3350	8
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	140	32	262	22	0	.	402	18
	other conifers	0	.	28	61	21	100	27	50	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	90	35
	beech	2006	9	785	16	492	20	771	13	773	13	136	36	941	17	1046	16	347	26	149	31	308	23	77	55	208	33	679	15	8716	4
	maple	347	16	90	35	23	75	48	43	138	26	63	41	112	29	168	24	106	31	48	42	131	29	56	60	41	55	44	47	1414	8
	ash	220	25	82	36	175	33	164	36	353	18	40	60	90	32	184	30	41	53	45	61	51	47	27	71	7	100	66	44	1544	9
	oak	186	31	119	40	131	32	95	33	155	29	19	100	34	61	7	100	8	100	25	72	0	.	21	75	12	100	173	29	985	12
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	0	.	16	71	6	100	721	18	750	18
	other broadleaves	176	42	56	43	56	39	30	60	224	24	6	100	45	41	0	.	79	53	6	100	37	52	67	37	56	57	524	18	1362	11
	indeterminable	8	100	7	100	0	.	0	.	0	.	0	.	0	.	0	.	41	52	14	100	7	100	7	100	21	58	0	.	105	30
	total	6679	5	1690	12	1599	13	2518	9	3582	7	1999	12	4583	8	3669	9	2789	11	1344	17	1352	14	4225	8	6056	6	4926	6	47010	2
51-60 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	1161	10	146	30	283	29	367	18	570	15	775	16	1270	11	1390	12	1021	14	426	20	404	19	1145	12	2194	9	1025	20	12178	4
	fir	981	11	35	44	159	33	511	18	297	20	298	23	797	14	485	20	175	26	106	36	69	47	167	37	105	32	197	28	4383	6
	pine	105	29	31	50	47	62	67	37	135	29	0	.	49	57	17	100	7	100	22	74	7	100	78	46	220	27	21	74	808	13
	larch	7	100	7	100	8	100	14	71	63	36	0	.	0	.	14	100	35	53	0	.	12	100	843	14	657	16	580	14	2240	8
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	63	51	149	27	0	.	212	24
	other conifers	0	.	42	62	0	.	47	62	28	80	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	124	36
	beech	891	11	440	21	263	25	573	14	700	12	111	35	531	19	364	20	156	30	102	38	170	35	34	63	65	47	317	20	4717	5
	maple	116	26	35	44	18	72	28	50	70	35	38	45	40	45	105	34	31	60	12	70	27	50	0	.	52	41	0	.	571	12
	ash	28	50	45	49	95	36	124	38	237	21	0	.	31	75	52	42	28	50	18	74	44	42	7	100	0	.	40	63	751	12
	oak	63	37	30	60	56	56	99	30	163	24	0	.	0	.	0	.	0	.	6	100	0	.	8	100	27	81	57	41	509	14
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	6	100	337	24	352	23
	other broadleaves	23	75	28	61	75	49	45	54	45	41	0	.	6	100	39	52	57	61	6	100	18	74	23	57	25	71	57	42	447	17
	indeterminable	0	.	0	.	0	.	0	.	0	.	6	100	13	71	0	.	0	.	0	.	0	.	14	71	0	.	0	.	34	45
	total	3376	6	839	14	1003	14	1874	10	2305	8	1229	13	2738	8	2466	9	1511	11	699	16	753	16	2392	9	3500	7	2639	10	27325	2
61-70 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	573	14	97	28	106	36	213	24	269	19	397	19	581	16	680	16	444	16	247	25	192	28	444	17	800	13	423	16	5466	5
	fir	432	17	49	37	98	35	256	21	189	25	117	41	426	16	197	23	120	34	36	45	6	100	26	60	59	39	37	45	2047	7
	pine	15	71	0	.	14	71	27	50	20	75	0	.	17	72	7	100	0	.	0	.	0	.	7	100	65	37	7	100	179	21
	larch	0	.	0	.	7	100	7	100	20	58	0	.	0	.	0	.	7	100	0	.	6	100	452	18	357	19	222	21	1078	11
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	71	22	58	0	.	36	45
	other conifers	0	.	14	100	0	.	40	57	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	69	42
	beech	213	21	160	26	109	26	191	21	306	20	14	71	149	35	100	30	28	50	42	57	46	54	20	73	41	41	151	28	1570	8
	maple	15	71	0	.	7	100	0	.	41	47	0	.	6	100	27	76	35	52	8	100	0	.	0	.	0	.	0	.	140	27
	ash	39	53	14	70	14	71	36	45	70	34	0	.	7	100	28	61	17	71	0	.	12	100	0	.	0	.	10	100	247	19
	oak	19	73	7	100	30	50	32	51	53	53	0	.	7	100	0	.	0	.	0	.	0	.	0	.	6	100	15	71	170	25
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	71	0	.	98	27	114	25
	other broadleaves	0	.	14	100	27	50	7	100	9	100	0	.	7	100	8	100	31	82	8	100	6	100	7	100	18	72	15	71	158	26
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	0	.	7	100
	total	1306	9	355	17	411	16	808	13	985	11	528	17	1200	11	1048	13	682	14	341	22	269	23	993	12	1367	10	987	9	11281	3
71-80 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	190	22	49	47	37	46	86	32	113	30	132	28	254	17	224	24	246	20	109	33	153	31	200	25	323	17	217	25	2335	7
	fir	204	19	7	100	42	49	112	28	131	26	35	52	172	23	120	27	87	35	56	62	13	71	37	60	34	45	30	49	1080	9
	pine	7	100	0	.	0	.	14	71	14	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	71	0	.	48	38
	larch	7	100	0	.	0	.	0	.	0	.	0	.	0	.	15	71	14	71	0	.	7	100	180	26	117	26	93	27	433	15
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	50	21	58	0	.	50	38
	other conifers	0	.	0	.	0	.	20	58	21	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	41	58
	beech	35	53	45	41	20	58	94	34	119	28	22	58	78	35	38	65	18	57	6	100	9	100	6	100	25	79	44	41	560	13
	maple	0	.	16	71	0	.	0	.	7	100	6	100	0	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	36	45
	ash	15	71	0	.	0	.	10	100	7	100	8	100	0	.	7	100	0	.	6	100	0	.	0	.	6	100	6	100	65	34
	oak	0	.	18	70	14	71	0	.	37	45	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	76	32
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	104	33	112	31
	other broadleaves	0	.	16	71	21	58	0	.	7	100	0	.	0	.	0	.	6	100	0	.	0	.	0	.	0	.	7	100	56	35
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	458	14	150	25	135	25	336	17	455	15	202	23	505	13	404	17	378	16	177	28	182	29	460	17	548	13	502	14	4892	4
81-90 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	47	47	0	.	17	72	33	44	53	39	32	52	55	39	79	34	43	41	23	58	36	45	43	41	141	26	88	33	691	11
	fir	51	42	0	.	33	53	49	42	50	42	9	100	72	37	39	51	15	71	0	.	12	70	0	.	15	71	7	100	352	16
	pine	0	.	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	81	37	63	40	95	37	239	22
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	71	15	71	0	.	43	52
	other conifers	0	.	7	100	0	.	13	71	14	100	0	.	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	41	47
	beech	8	100	0	.	0	.	0	.	20	58	0	.	7	100	8	100	0	.	15	71	0	.	7	100	0	.	37	45	102	27
	maple	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	0	.	8	100
	ash	0	.	7	100	0	.	0	.	9	100	0	.	0	.	17	72	0	.	0	.	0	.	0	.	0	.	0	.	33	51
	oak	0	.	0	.	0	.	0	.	29	50	0	.	0	.	8	100	0	.	10	100	0	.	0	.	0	.	0	.	47	41
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	53	47	53	47
	other broadleaves	0	.	0	.	8	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	105	30	14	70	58	39	95	28	182	22	41	46	142	25	151	25	58	35	48	41	56	35	160	26	233	20	280	20	1624	7
91-100 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	15	71	0	.	0	.	7	100	13	71	27	58	6	100	0	.	38	45	0	.	36	45	22	58	49	43	25	59	238	18
	fir	29	50	0	.	0	.	7	100	7	100	0	.	6	100	6	100	0	.	7	100	7	100	0	.	0	.	25	58	95	28
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	7	100
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	36	45	18	72	7	100	61	36
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	58	0	.	0	.	22	58
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	beech	0	.	0	.	0	.	0	.	32	52	0	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	0	.	39	46
	maple	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	0	.	6	100
	ash	0	.	0	.	0	.	10	100	8	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	71
	oak	0	.	0	.	0	.	7	100	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	71
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	45	53	53	48
	other broadleaves	0	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	44	41	0	.	7	100	30	50	66	34	27	58	12	71	14	71	38	45	7	100	49	38	87	29	73	35	103	32	558	12
>100 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	14	71	0	.	7	100	7	100	0	.	7	100	14	71	21	58	7	100	0	.	14	71	7	100	30	50	18	72	147	22
	fir	15	71	0	.	0	.	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	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	.	15	71	14	100	29	61
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	7	100	0	.	14	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	.	16	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	100
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	51	50	51
	other broadleaves	0	.	0	.	7	100	7	100	13	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	27	61
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	28	50	0	.	14	71	14	71	30	71	7	100	21	57	21	58	7	100	0	.	14	71	14	71	51	38	83	39	306	17
total	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	15675	8	2791	22	4077	20	9593	13	11101	11	12413	13	22385	9	15418	10	15873	10	7139	16	6246	17	23230	9	40283	7	15045	11	201267	3
	fir	16347	7	1190	28	1690	22	6995	12	3553	14	3357	21	10888	10	4367	15	2093	21	2434	22	711	27	1693	24	835	26	1800	23	57954	4
	pine	1601	23	618	26	302	40	557	33	783	21	0	.	1049	52	37	55	386	48	626	43	247	78	6120	19	5968	19	450	46	18744	10
	larch	21	58	127	51	705	64	92	48	650	36	184	73	85	84	184	81	567	35	0	.	388	54	10107	11	6665	11	9621	11	29394	6
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	2010	22	4153	20	65	79	6237	15
	other conifers	455	39	293	49	47	72	367	28	686	37	0	.	75	46	170	40	284	78	179	75	100	56	208	56	927	37	44	70	3835	15
	beech	18804	7	6981	12	4464	17	6954	10	9623	9	2357	24	9554	11	6986	13	3442	19	2022	24	3204	22	2579	27	1863	23	13424	12	92257	3
	maple	5799	12	1892	18	1128	33	1426	19	3803	13	1252	23	2706	20	2803	17	2924	17	810	27	1461	25	2119	24	778	29	1890	25	30791	5
	ash	2362	18	1468	21	1513	24	1283	19	2894	14	936	30	1658	26	1835	20	1147	28	900	32	603	32	1567	27	882	42	2661	22	21709	6
	oak	2268	30	634	29	1354	30	616	23	894	17	106	50	147	46	106	62	194	68	85	57	35	100	1236	31	91	72	2614	24	10380	11
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	0	.	311	67	45	72	15506	12	15870	12
	other broadleaves	4056	14	1352	18	1836	21	2436	20	4233	14	1835	24	2267	17	2391	24	3108	19	1697	37	1309	29	6297	13	5848	20	19895	9	58559	5
	indeterminable	237	33	7	100	0	.	17	100	67	50	88	44	170	30	101	40	188	33	14	100	31	71	162	33	319	27	146	40	1546	11
	total	67625	4	17353	10	17115	11	30335	7	38288	6	22527	11	50983	6	34396	8	30221	8	15906	13	14336	13	57640	6	68657	5	83161	4	548544	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. 1358384. Birmensdorf, Swiss Federal Research Institute WSL

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