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
growing stock (stemwood)
diameter at breast height (10 classes) · main tree species
regional demarcation: economic region
unit: 1000 m³
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	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	.
	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	748	17	208	30	291	48	823	21	713	18	393	26	1068	17	382	22	546	17	239	26	270	27	966	15	1775	12	477	18	8898	5
	fir	853	12	39	32	134	30	477	20	187	33	64	109	648	17	218	26	86	36	110	47	23	44	89	36	18	39	64	36	3011	7
	pine	12	68	-22	128	2	100	14	61	12	100	0	.	28	75	0	.	8	78	4	100	0	.	220	33	190	29	8	100	477	21
	larch	0	.	7	88	63	89	5	100	54	54	15	73	10	89	4	100	20	56	0	.	2	75	332	28	82	28	161	34	755	17
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	114	59	89	40	3	100	206	37
	other conifers	46	42	11	63	0	.	20	55	55	46	0	.	3	74	20	47	0	.	7	100	8	69	9	56	28	40	1	100	209	19
	beech	1021	11	397	18	248	29	427	17	503	15	110	39	502	19	309	24	203	39	72	36	192	40	108	33	58	31	894	15	5045	6
	maple	379	23	132	31	131	42	162	25	201	28	70	30	137	31	120	30	184	24	19	85	49	44	120	30	49	36	109	38	1862	9
	ash	122	24	111	33	86	43	82	52	184	35	54	41	54	48	66	42	47	71	97	60	5	76	74	34	51	39	197	26	1228	11
	oak	98	46	34	78	70	50	6	72	19	42	1	100	0	0	0	.	14	84	2	100	0	.	61	35	3	100	93	43	401	20
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	5	100	664	20	669	20
	other broadleaves	229	17	80	27	85	29	273	24	309	19	74	29	150	26	106	24	148	26	57	32	75	48	393	18	350	25	1026	14	3355	6
	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	3509	7	997	14	1110	18	2288	12	2235	10	782	19	2600	10	1225	13	1258	13	605	22	625	21	2487	10	2697	9	3697	7	26115	3
21-30 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	1435	14	253	30	573	30	1206	20	1655	17	898	22	1809	13	1437	16	1044	17	567	24	581	32	2106	16	3417	11	1098	17	18078	4
	fir	1835	13	162	37	156	44	922	23	418	28	323	44	1230	15	541	31	235	31	203	33	35	44	165	36	32	50	105	36	6360	7
	pine	194	47	105	60	14	100	44	55	54	46	0	.	99	73	0	.	0	0	68	63	0	.	628	24	446	26	5	100	1657	14
	larch	0	.	14	100	83	72	9	100	73	48	0	.	9	100	34	100	61	71	0	.	26	100	610	19	217	27	690	23	1825	12
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	169	31	284	27	5	100	458	20
	other conifers	24	60	35	61	6	100	5	100	66	39	0	.	8	100	16	71	10	100	0	.	0	.	4	100	8	73	0	.	182	23
	beech	2234	11	629	21	491	26	670	18	1038	16	371	28	1255	16	773	19	354	31	302	32	212	40	274	38	178	36	1643	18	10424	5
	maple	620	15	232	25	103	37	131	34	756	22	264	26	294	28	492	22	193	39	102	47	199	45	139	34	76	44	80	42	3681	8
	ash	258	33	138	35	167	38	113	37	186	31	219	45	195	48	287	34	51	57	63	46	69	44	78	42	90	90	300	35	2215	12
	oak	285	39	53	50	244	39	81	47	50	48	12	100	18	77	7	100	19	68	0	0	0	.	75	44	6	100	270	26	1119	16
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	100	5	100	1376	16	1389	16
	other broadleaves	246	25	95	33	144	37	236	34	387	18	72	38	136	29	219	44	153	27	50	59	64	35	329	21	317	32	1365	17	3814	8
	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
	total	7132	6	1717	13	1979	15	3416	12	4681	9	2157	16	5053	8	3806	12	2120	12	1356	18	1186	22	4586	10	5077	9	6937	7	51203	2
31-40 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	2697	12	359	38	597	27	1236	20	2060	15	1785	17	3004	13	2958	13	1919	14	908	24	716	29	2814	13	5038	10	2097	19	28188	4
	fir	2269	13	222	41	320	37	1103	19	403	36	579	28	1555	17	774	22	248	32	295	39	124	52	312	34	133	36	357	36	8695	7
	pine	451	32	208	31	108	52	82	69	168	31	0	.	152	53	8	100	28	100	132	50	0	.	547	22	519	28	42	106	2444	12
	larch	0	.	5	201	54	84	0	.	61	57	10	100	0	.	0	.	72	57	0	.	23	100	1150	20	780	18	986	21	3140	11
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	174	34	356	25	0	.	542	20
	other conifers	0	.	18	71	7	100	63	49	50	84	0	.	0	.	0	.	0	.	0	.	-25	100	0	0	0	.	0	.	114	52
	beech	3861	10	1127	19	825	22	1177	17	1549	15	411	30	1391	15	1539	17	516	25	399	32	234	34	247	34	234	29	1407	16	14918	5
	maple	843	17	175	33	51	44	277	28	505	21	102	42	484	24	547	23	310	33	71	43	244	32	34	60	79	46	94	62	3813	8
	ash	275	24	182	35	482	32	277	24	625	22	238	54	288	61	324	28	150	48	119	69	86	45	121	50	44	57	102	39	3314	11
	oak	233	29	178	42	143	52	76	54	137	34	26	72	0	.	16	73	8	100	9	100	0	.	53	50	6	100	251	27	1138	14
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	33	74	0	.	897	19	931	19
	other broadleaves	154	36	78	44	124	48	171	32	315	26	10	100	64	57	130	32	44	90	48	49	35	52	49	44	81	37	1094	19	2396	11
	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
	total	10783	6	2553	13	2711	14	4462	11	5874	9	3160	14	6938	8	6296	9	3308	11	1980	17	1437	19	5534	9	7268	8	7329	8	69632	2
41-50 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	3359	10	416	30	816	26	1576	20	2435	13	2456	15	3605	12	2882	14	2992	15	1316	26	958	21	3116	13	6491	9	2532	17	34950	4
	fir	3200	11	288	36	354	34	1272	17	1071	20	491	27	1782	14	1128	17	420	33	503	37	242	35	340	34	185	35	300	32	11577	6
	pine	361	26	174	38	110	46	165	37	480	26	0	.	242	63	8	100	17	72	38	60	0	.	333	26	618	26	57	63	2603	12
	larch	12	100	29	71	71	61	39	74	106	55	0	.	0	.	13	100	70	84	0	.	0	0	1710	18	1269	16	1041	16	4361	9
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	126	36	287	26	0	.	413	21
	other conifers	0	.	57	58	50	100	48	52	20	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	100	191	36
	beech	3949	9	1667	17	1089	21	1502	14	1695	14	363	36	1611	17	2079	16	692	29	247	33	598	27	89	70	360	36	949	16	16890	5
	maple	645	17	155	39	30	75	78	43	270	27	100	38	207	31	287	27	101	51	89	44	173	34	84	74	38	59	52	49	2307	9
	ash	431	25	120	39	400	34	345	36	590	19	86	59	189	37	387	34	70	56	112	61	57	50	54	85	0	0	106	61	2946	11
	oak	329	32	228	41	238	36	166	36	318	33	24	100	91	66	0	.	8	100	37	74	0	.	20	76	22	100	192	34	1674	14
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	10	100	5	100	838	23	859	22
	other broadleaves	235	35	97	43	81	47	67	61	369	26	11	100	69	43	0	.	87	63	15	100	47	60	56	51	17	71	663	21	1815	12
	indeterminable	0	0	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	0	0	0	0	0	0	.	0	0
	total	12520	5	3230	13	3240	14	5258	10	7355	8	3531	13	7795	8	6784	10	4462	13	2358	19	2073	16	5937	10	9293	7	6746	7	80585	2
51-60 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	3192	11	473	32	843	30	1171	19	1706	17	2050	17	3584	12	3644	13	2452	16	1107	21	1188	21	2703	13	5272	11	2375	19	31761	4
	fir	3142	12	139	45	486	34	1824	18	990	22	916	24	2644	14	1751	21	533	28	326	40	244	47	432	40	320	33	593	29	14340	6
	pine	289	29	87	50	161	63	164	40	416	30	0	.	119	55	53	100	0	.	39	100	0	.	145	42	498	28	27	100	1999	13
	larch	22	100	28	100	22	100	44	71	223	37	0	.	0	.	57	100	88	60	0	.	44	100	1950	16	1532	17	1049	16	5057	9
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	69	68	246	27	0	.	315	26
	other conifers	0	.	142	68	0	.	166	66	100	80	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	100	436	39
	beech	2542	12	1244	23	893	25	1883	16	2465	12	369	36	1605	20	977	22	489	34	189	45	494	33	71	82	175	47	686	21	14082	5
	maple	321	27	102	45	24	71	65	50	213	36	104	46	123	48	242	36	74	58	42	74	54	50	0	.	101	46	0	.	1465	13
	ash	84	50	164	47	347	38	432	41	788	22	0	.	89	76	191	44	60	52	56	75	112	47	15	100	0	.	73	74	2412	13
	oak	187	39	95	60	145	59	331	34	480	25	0	.	0	.	0	.	0	.	19	100	0	.	22	100	70	76	99	46	1450	15
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	537	27	545	27
	other broadleaves	14	100	95	68	212	59	115	54	120	44	0	.	26	100	92	51	140	73	22	100	31	71	54	60	20	100	79	51	1020	21
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	0
	total	9793	6	2570	15	3134	15	6196	10	7501	8	3439	13	8190	9	7007	10	3837	13	1801	18	2167	17	5462	10	8243	8	5545	10	74883	2
61-70 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	2406	15	444	30	443	34	1022	25	1230	19	1438	22	2067	18	2814	17	1701	18	886	24	737	29	1381	20	2966	14	1372	18	20906	5
	fir	1861	19	101	58	339	35	1281	22	905	25	547	44	1831	18	956	23	604	33	111	60	39	100	99	75	290	40	138	50	9101	8
	pine	47	71	0	.	62	71	114	50	102	75	0	.	81	71	41	100	0	.	0	.	0	.	17	100	219	35	0	.	684	22
	larch	0	.	0	.	34	100	40	100	94	58	0	.	0	.	0	.	23	100	0	.	27	100	1453	20	1343	20	669	22	3683	12
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	100	67	59	0	.	88	51
	other conifers	0	.	75	100	0	.	238	57	28	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	36	100	377	43
	beech	878	24	653	28	445	28	915	21	1408	19	79	71	619	33	415	32	144	51	190	54	241	61	67	74	167	42	475	30	6697	8
	maple	26	100	0	.	30	100	0	.	203	47	0	.	34	100	100	86	62	58	0	.	0	.	0	.	0	.	0	.	454	32
	ash	157	52	81	70	60	71	194	45	311	33	0	.	32	100	154	59	32	100	0	.	28	100	0	.	0	.	55	100	1103	19
	oak	86	74	34	100	166	50	131	50	238	59	0	.	0	0	0	.	0	.	0	.	0	.	0	.	32	100	34	100	721	27
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	100	0	.	178	33	194	31
	other broadleaves	0	.	72	100	103	60	22	100	32	100	0	.	0	0	25	100	174	81	0	.	34	100	26	100	20	100	47	73	553	33
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	0
	total	5460	10	1459	19	1682	17	3956	13	4550	11	2064	19	4665	12	4505	14	2741	16	1187	23	1106	24	3079	14	5103	11	3002	11	44559	3
71-80 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	981	23	327	47	229	47	487	33	712	32	513	32	1223	20	1352	25	988	24	677	34	780	32	917	30	1557	19	984	30	11727	7
	fir	1094	21	53	100	246	48	565	30	689	28	210	51	1046	24	681	27	546	35	367	61	95	71	184	61	267	46	195	50	6238	10
	pine	41	100	0	.	0	.	89	71	72	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	62	71	0	.	264	38
	larch	41	100	0	.	0	.	0	.	0	.	0	.	0	.	84	71	62	71	0	.	50	100	718	28	505	27	404	29	1864	15
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	87	50	65	58	0	.	151	38
	other conifers	0	.	0	.	0	.	129	58	148	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	277	60
	beech	175	62	172	50	128	59	564	36	708	28	107	59	405	39	183	85	136	58	0	.	41	100	30	100	118	70	170	41	2936	14
	maple	0	.	72	72	0	.	0	.	34	100	19	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	126	52
	ash	79	71	0	.	0	.	58	100	37	100	43	100	0	.	53	100	0	.	38	100	0	.	0	.	33	100	0	.	341	36
	oak	0	.	114	71	67	75	0	.	192	50	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	383	35
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	168	38	168	38
	other broadleaves	0	.	74	71	100	59	0	.	42	100	0	.	0	.	0	.	38	100	0	.	0	.	0	.	0	.	27	100	281	36
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	2411	15	812	28	770	26	1892	18	2633	16	892	26	2674	15	2354	18	1770	18	1083	30	966	30	1934	19	2617	14	1948	17	24755	5
81-90 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	345	48	0	.	155	71	151	58	454	39	257	52	344	42	405	36	219	46	135	62	159	50	278	43	763	31	333	48	4000	13
	fir	392	42	0	.	251	53	372	43	422	43	63	100	606	37	227	60	63	100	0	.	132	70	0	.	152	72	50	100	2731	16
	pine	0	.	0	.	0	.	0	.	49	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	49	100
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	398	42	303	44	270	51	972	26
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	46	100	70	71	0	.	116	58
	other conifers	0	.	61	100	0	.	122	71	113	100	0	.	81	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	376	46
	beech	48	100	0	.	0	.	0	.	169	58	0	.	44	100	65	100	0	.	96	71	0	.	0	0	0	.	171	45	593	29
	maple	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	27	100	0	.	0	.	0	.	27	100
	ash	0	.	66	100	0	.	0	.	76	100	0	.	0	.	140	71	0	.	0	.	0	.	0	.	0	.	0	.	282	50
	oak	0	.	0	.	0	.	0	.	215	51	0	.	0	.	45	100	0	.	37	100	0	.	0	.	0	.	0	.	298	42
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	153	46	153	46
	other broadleaves	0	.	0	.	70	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	70	100
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	785	30	126	71	476	39	646	31	1497	22	320	46	1075	26	883	27	282	42	269	43	318	39	723	29	1287	23	978	27	9667	8
91-100 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	127	71	0	.	0	.	54	100	115	71	57	100	48	100	0	.	233	50	0	.	210	51	124	61	317	41	154	71	1438	20
	fir	214	58	0	.	0	.	68	100	58	100	0	.	61	100	58	100	0	.	68	100	78	100	0	.	0	.	204	58	807	29
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	57	100	0	.	57	100
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	228	45	48	100	0	.	276	41
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	100	0	.	0	.	30	100
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	beech	0	.	0	.	0	.	0	.	281	53	0	.	0	.	55	100	0	.	0	.	0	.	0	.	0	.	0	.	337	47
	maple	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	100	0	.	0	.	0	.	25	100
	ash	0	.	0	.	0	.	67	100	52	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	119	71
	oak	0	.	0	.	0	.	44	100	45	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	89	71
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	29	100	0	.	145	59	174	52
	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	340	45	0	.	0	.	233	50	551	35	57	100	109	71	113	71	233	50	68	100	312	43	412	32	422	35	502	36	3352	13
>100 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	81	100	0	.	71	100	84	100	0	.	36	100	130	71	129	71	49	100	0	.	90	71	64	100	224	58	184	72	1141	25
	fir	174	72	0	.	0	.	0	.	0	.	0	.	133	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	307	60
	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	.	52	100	129	100	182	77
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	39	100	36	100	0	.	75	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	.	194	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	194	100
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	374	60	374	60
	other broadleaves	0	.	0	.	0	.	66	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	66	100
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	255	59	0	.	71	100	150	71	194	100	36	100	263	61	129	71	49	100	0	.	90	71	103	73	312	46	687	42	2338	20
total	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	15371	7	2480	19	4018	20	7809	12	11079	10	9882	13	16882	8	16003	10	12141	12	5836	18	5689	18	14470	10	27821	7	11606	13	161087	3
	fir	15034	8	1003	29	2287	22	7884	12	5142	14	3193	22	11535	10	6336	13	2735	22	1984	30	1010	32	1621	26	1397	24	2006	24	63168	4
	pine	1394	22	552	27	457	43	672	28	1352	19	0	.	721	45	111	61	54	61	281	52	0	.	1891	19	2609	18	138	56	10232	8
	larch	75	64	81	47	326	39	137	50	611	26	25	81	19	94	192	48	396	38	0	.	174	58	8549	12	6131	12	5398	12	22114	6
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	874	24	1499	20	8	100	2393	15
	other conifers	71	34	399	66	62	91	791	41	580	61	0	.	91	89	36	41	10	100	7	100	-16	122	13	58	35	40	82	98	2163	26
	beech	14708	6	5889	12	4118	17	7138	11	9817	9	1810	23	7432	12	6395	13	2536	21	1494	25	2012	21	886	31	1290	27	6395	12	71921	3
	maple	2833	10	868	20	369	25	713	18	2181	15	659	22	1280	17	1788	16	923	18	322	30	770	26	376	31	342	28	336	30	13760	5
	ash	1407	18	862	25	1541	25	1568	25	2847	15	640	38	847	38	1602	21	410	34	485	39	356	35	342	35	219	47	832	32	13959	7
	oak	1219	23	737	32	1073	28	835	22	1889	25	62	67	108	65	69	69	49	57	105	61	0	.	231	38	149	71	939	21	7465	10
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	97	52	23	82	5330	13	5456	12
	other broadleaves	878	19	591	27	920	28	950	20	1573	16	166	26	445	19	571	25	785	41	192	36	286	32	906	17	805	26	4300	12	13369	6
	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	52988	4	13463	10	15173	11	28496	7	37072	6	16438	11	39361	6	33103	7	20058	9	10707	15	10280	13	30257	7	42320	6	37372	5	387089	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. 1218052. Birmensdorf, Swiss Federal Research Institute WSL

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