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
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	766	17	208	30	291	48	827	21	714	18	542	22	1099	17	415	21	640	15	302	22	293	25	1045	14	2055	11	610	16	9805	5
	fir	862	12	39	32	134	30	480	20	187	33	69	102	648	17	222	25	86	36	126	42	23	44	90	36	18	39	66	35	3049	7
	pine	12	68	-22	128	2	100	14	61	12	100	0	.	28	75	0	.	8	78	16	71	-18	100	220	33	247	26	14	65	534	20
	larch	0	.	7	88	63	89	5	100	54	54	15	73	10	89	4	100	25	50	0	.	12	68	473	21	180	20	280	23	1126	12
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	120	56	144	28	3	85	267	29
	other conifers	46	42	11	63	0	.	20	55	55	46	0	.	3	61	20	47	19	66	12	71	8	69	9	56	36	33	1	100	242	17
	beech	1025	11	405	18	248	29	431	17	534	15	112	38	502	19	313	24	204	39	80	33	198	39	113	32	58	31	953	14	5176	5
	maple	358	25	138	30	135	41	162	25	214	27	70	30	182	34	135	28	192	23	32	55	66	38	174	25	53	34	177	31	2089	8
	ash	124	24	111	33	87	42	82	52	196	33	54	41	54	48	71	40	64	55	108	55	42	67	118	30	64	34	215	24	1391	10
	oak	98	46	34	78	70	50	6	72	19	42	1	100	0	0	0	.	14	84	2	100	2	100	61	35	3	100	94	42	405	20
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	100	5	100	668	20	684	20
	other broadleaves	257	18	80	27	102	26	286	24	322	19	131	29	199	23	139	24	220	24	117	37	102	39	472	16	451	22	1197	12	4073	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
	total	3547	7	1010	14	1132	18	2313	12	2307	10	994	17	2727	10	1318	12	1473	12	795	19	729	19	2907	9	3312	8	4278	6	28841	3
21-30 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	1480	13	253	30	594	29	1206	20	1655	17	1192	20	2036	12	1599	15	1208	16	758	20	590	31	2351	15	4256	10	1339	15	20517	4
	fir	1869	13	162	37	156	44	933	23	418	28	323	44	1230	15	541	31	235	31	218	32	35	44	165	36	32	50	132	35	6446	7
	pine	194	47	105	60	14	100	44	55	54	46	0	.	99	73	0	.	4	100	68	63	16	71	641	23	461	25	5	100	1705	14
	larch	0	.	14	100	83	72	9	100	73	48	0	.	9	100	34	100	68	64	0	.	31	87	854	17	536	26	963	18	2673	11
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	187	29	384	23	5	100	576	18
	other conifers	24	60	35	61	6	100	5	100	66	39	0	.	8	100	16	71	30	74	0	.	0	0	4	100	11	59	0	.	205	22
	beech	2243	11	642	20	491	26	689	18	1037	16	371	28	1318	16	773	19	367	30	365	28	233	37	274	38	198	34	1763	17	10766	5
	maple	636	15	269	25	103	37	131	34	774	21	271	25	356	25	507	21	201	37	136	38	218	42	176	29	89	41	91	39	3956	7
	ash	258	33	138	35	167	38	113	37	203	29	219	45	195	48	318	32	74	50	71	42	69	44	154	36	114	74	315	33	2408	11
	oak	285	39	53	50	244	39	92	43	50	48	12	100	33	62	7	100	37	60	0	0	0	.	98	39	6	100	303	24	1220	15
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	71	5	100	1410	16	1431	15
	other broadleaves	283	25	105	31	144	37	236	34	407	17	111	35	143	28	284	36	174	26	100	44	75	32	444	23	392	27	1705	15	4604	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	7272	6	1776	13	2000	15	3457	12	4736	9	2499	15	5427	8	4078	11	2399	11	1715	16	1267	21	5365	9	6485	8	8031	6	56508	2
31-40 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	2800	12	359	38	606	27	1236	20	2087	15	2198	16	3112	12	3194	13	2301	14	1065	22	843	27	3059	12	5572	9	2221	18	30654	4
	fir	2291	13	222	41	320	37	1077	20	403	36	592	28	1607	17	847	22	248	32	316	37	178	47	312	34	133	36	372	34	8919	7
	pine	451	32	208	31	108	52	82	69	168	31	0	.	152	53	8	100	35	83	132	50	31	100	547	22	543	27	42	106	2506	11
	larch	0	.	5	201	54	84	0	.	61	57	10	100	0	.	0	.	72	57	0	.	81	77	1505	20	1009	15	1320	17	4117	10
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	204	31	442	23	0	.	658	18
	other conifers	0	.	18	71	7	100	63	49	50	84	0	.	0	.	0	.	5	100	0	.	-25	100	0	0	0	.	0	.	119	50
	beech	3861	10	1151	18	825	22	1217	17	1576	15	411	30	1455	15	1570	16	565	24	453	30	284	33	247	34	234	29	1472	15	15320	5
	maple	843	17	190	31	51	44	289	27	505	21	102	42	484	24	571	23	310	33	135	53	265	30	49	47	108	43	170	43	4072	8
	ash	275	24	182	35	482	32	277	24	639	21	238	54	288	61	324	28	212	40	119	69	86	45	144	43	62	49	105	38	3433	10
	oak	233	29	178	42	143	52	76	54	137	34	26	72	0	.	16	73	25	75	9	100	0	.	74	41	6	100	267	26	1192	13
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	52	60	0	.	904	19	956	19
	other broadleaves	183	34	78	44	124	48	188	30	331	25	19	71	64	57	130	32	44	90	48	49	35	52	148	42	93	34	1257	18	2741	10
	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	10937	6	2592	13	2720	14	4504	10	5958	8	3596	13	7161	8	6661	9	3828	11	2277	16	1780	18	6342	9	8200	7	8131	8	74688	2
41-50 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	3494	10	433	30	954	27	1576	20	2438	13	2683	14	4048	11	3270	13	3333	14	1404	25	1247	22	3270	12	7001	9	2738	16	37889	3
	fir	3235	11	288	36	354	34	1287	17	1071	20	491	27	1782	14	1225	16	420	33	560	34	276	32	340	34	185	35	300	32	11815	5
	pine	361	26	174	38	110	46	165	37	480	26	0	.	242	63	8	100	24	59	63	53	17	100	347	26	652	25	63	57	2705	11
	larch	12	100	29	71	71	61	39	74	106	55	0	.	0	.	13	100	70	84	0	.	29	100	1955	16	1644	15	1237	14	5206	9
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	171	31	320	24	0	.	490	19
	other conifers	0	.	57	58	50	100	48	52	20	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	100	191	36
	beech	3968	9	1667	17	1089	21	1602	14	1695	14	374	36	1830	18	2121	16	786	27	267	31	646	26	89	70	360	36	1050	16	17545	5
	maple	669	16	155	39	30	75	78	43	270	27	100	38	207	31	297	26	101	51	89	44	180	32	84	74	65	54	52	49	2376	9
	ash	473	25	155	38	400	34	345	36	631	19	86	59	189	37	387	34	70	56	112	61	67	45	54	85	0	0	106	61	3076	10
	oak	329	32	228	41	238	36	178	34	337	32	24	100	91	66	12	100	8	100	37	74	0	.	20	76	22	100	220	31	1745	13
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	10	100	5	100	838	23	859	22
	other broadleaves	272	33	97	43	81	47	67	61	382	26	11	100	69	43	0	.	100	56	15	100	47	60	66	46	57	73	721	20	1985	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
	total	12813	5	3282	13	3378	14	5387	10	7431	8	3769	12	8457	8	7334	9	4916	12	2547	18	2509	15	6405	9	10311	7	7343	7	85882	2
51-60 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	3348	11	473	32	900	29	1204	19	1731	17	2332	16	3759	12	4135	12	2708	15	1126	21	1234	21	2756	13	5700	10	2490	18	33895	4
	fir	3201	12	139	45	486	34	1843	18	1054	21	945	23	2644	14	1795	21	552	27	348	38	306	43	452	39	320	33	612	28	14699	6
	pine	289	29	87	50	161	63	164	40	416	30	0	.	119	55	53	100	9	100	55	77	12	100	145	42	522	27	27	100	2060	13
	larch	22	100	28	100	22	100	44	71	223	37	0	.	0	.	57	100	104	53	0	.	44	100	2096	15	1696	16	1233	15	5568	8
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	109	48	246	27	0	.	355	24
	other conifers	0	.	142	68	0	.	166	66	100	80	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	100	436	39
	beech	2706	12	1272	23	893	25	1969	15	2465	12	369	36	1688	19	1033	22	489	34	267	36	494	33	101	65	175	47	708	20	14628	5
	maple	321	27	102	45	24	71	65	50	213	36	114	43	123	48	269	34	74	58	42	74	54	50	0	.	118	42	0	.	1519	13
	ash	84	50	164	47	347	38	432	41	825	22	0	.	89	76	191	44	60	52	56	75	112	47	15	100	0	.	88	64	2464	13
	oak	187	39	95	60	145	59	369	32	518	24	0	.	0	.	0	.	0	.	19	100	0	.	22	100	70	76	99	46	1525	15
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	100	8	100	537	27	557	26
	other broadleaves	36	73	95	68	233	55	115	54	120	44	0	.	26	100	92	51	160	65	22	100	31	71	54	60	42	71	104	42	1130	19
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	0
	total	10195	6	2597	15	3211	15	6370	10	7665	8	3759	13	8447	8	7625	9	4157	12	1936	17	2287	16	5762	10	8898	8	5926	9	78837	2
61-70 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	2465	15	444	30	443	34	1059	24	1230	19	1630	21	2260	17	3043	16	1794	17	886	24	768	28	1502	19	3304	13	1452	17	22280	5
	fir	1861	19	101	58	339	35	1281	22	957	25	547	44	1831	18	987	23	604	33	138	52	75	71	99	75	290	40	138	50	9246	8
	pine	47	71	0	.	62	71	114	50	102	75	0	.	81	71	41	100	0	.	0	.	0	.	17	100	219	35	14	100	698	22
	larch	0	.	0	.	34	100	40	100	94	58	0	.	0	.	0	.	23	100	0	.	27	100	1542	19	1343	20	738	21	3841	11
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	39	71	67	59	0	.	107	45
	other conifers	0	.	75	100	0	.	238	57	28	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	36	100	377	43
	beech	940	22	698	27	445	28	978	21	1560	19	79	71	619	33	415	32	144	51	190	54	241	61	67	74	167	42	500	29	7044	8
	maple	59	71	0	.	30	100	0	.	203	47	0	.	34	100	100	86	95	52	30	100	0	.	0	.	0	.	0	.	551	28
	ash	157	52	81	70	60	71	194	45	311	33	0	.	32	100	154	59	72	71	0	.	28	100	0	.	0	.	55	100	1143	19
	oak	86	74	34	100	166	50	131	50	265	54	0	.	0	0	0	.	0	.	0	.	0	.	0	.	32	100	34	100	747	26
	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	137	51	22	100	32	100	0	.	0	0	25	100	174	81	32	100	34	100	26	100	74	78	47	73	674	29
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	0
	total	5615	10	1504	18	1716	17	4056	13	4780	11	2256	19	4858	12	4765	13	2907	15	1277	22	1173	24	3307	13	5496	10	3191	10	46901	3
71-80 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	1028	23	327	47	229	47	561	31	712	32	513	32	1315	19	1352	25	1183	21	754	33	853	30	1011	28	1622	18	1088	28	12548	7
	fir	1143	20	53	100	246	48	565	30	758	27	210	51	1046	24	681	27	546	35	367	61	95	71	184	61	267	46	195	50	6357	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	789	26	564	26	434	28	2026	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	199	56	227	45	128	59	564	36	708	28	107	59	405	39	226	72	136	58	39	100	41	100	30	100	118	70	170	41	3097	14
	maple	0	.	72	72	0	.	0	.	34	100	19	100	0	.	0	.	27	100	0	.	0	.	0	.	0	.	0	.	152	46
	ash	79	71	0	.	0	.	58	100	37	100	43	100	0	.	53	100	0	.	38	100	0	.	0	.	33	100	30	100	371	34
	oak	0	.	114	71	67	75	0	.	267	46	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	457	34
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	100	0	.	168	38	186	36
	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	2531	14	867	27	770	26	1966	18	2776	15	892	26	2766	14	2397	18	1992	17	1198	28	1040	28	2118	18	2741	14	2112	16	26166	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	389	39	534	33	277	42	135	62	215	41	278	43	913	27	440	39	4545	12
	fir	455	38	0	.	251	53	372	43	422	43	63	100	606	37	323	51	63	100	0	.	132	70	0	.	152	72	50	100	2891	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	.	451	39	303	44	475	37	1230	23
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	69	75	70	71	0	.	138	51
	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	848	29	126	71	476	39	646	31	1497	22	320	46	1120	25	1108	24	341	39	269	43	373	35	798	27	1438	21	1291	23	10652	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	180	58	48	100	0	.	296	45	0	.	210	51	124	61	317	41	215	58	1685	19
	fir	214	58	0	.	0	.	68	100	58	100	0	.	61	100	58	100	0	.	68	100	153	71	0	.	0	.	204	58	883	28
	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	121	72	38	100	387	36
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	57	71	0	.	0	.	57	71
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	beech	0	.	0	.	0	.	113	100	281	53	0	.	0	.	55	100	0	.	0	.	0	.	0	.	0	.	0	.	449	43
	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	.	55	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	55	100
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	340	45	0	.	55	100	345	47	551	35	180	58	109	71	113	71	296	45	68	100	388	40	439	31	495	34	601	32	3980	12
>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	179	58	49	100	0	.	90	71	64	100	306	50	184	72	1274	24
	fir	285	59	0	.	0	.	0	.	0	.	0	.	133	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	418	51
	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	.	107	71	129	100	236	63
	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	.	411	55	411	55
	other broadleaves	0	.	0	.	63	100	66	100	94	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	223	59
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	367	51	0	.	134	71	150	71	287	75	36	100	263	61	179	58	49	100	0	.	90	71	103	73	448	39	725	40	2830	18
total	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	15935	7	2497	19	4243	19	7957	12	11136	10	11562	12	18196	8	17721	10	13788	11	6430	17	6343	17	15460	9	31045	7	12778	12	175091	2
	fir	15416	8	1003	29	2287	22	7908	12	5327	14	3240	21	11587	10	6680	13	2754	21	2141	28	1273	30	1642	26	1397	24	2068	24	64723	4
	pine	1394	22	552	27	457	43	672	28	1352	19	0	.	721	45	111	61	80	48	334	45	58	60	1918	18	2762	17	165	49	10577	8
	larch	75	64	81	47	326	39	137	50	611	26	25	81	19	94	192	48	423	36	0	.	274	52	9895	12	7503	10	6848	11	26409	6
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	1082	21	1772	18	9	94	2875	13
	other conifers	71	34	399	66	62	91	791	41	580	61	0	.	92	88	36	41	54	68	12	71	-16	122	13	58	47	32	82	98	2224	25
	beech	14990	6	6063	12	4118	17	7562	11	10026	9	1823	23	7861	13	6571	12	2692	20	1758	23	2137	21	920	30	1310	27	6788	11	74620	3
	maple	2885	10	925	19	373	25	725	18	2213	14	676	22	1387	17	1879	15	1000	18	464	27	835	24	483	26	432	30	491	25	14767	5
	ash	1451	18	897	24	1542	25	1568	25	2970	15	640	38	847	38	1638	21	553	31	504	38	405	32	485	30	274	40	913	30	14686	7
	oak	1219	23	737	32	1073	28	895	21	2047	24	62	67	124	58	81	61	85	53	105	61	2	100	276	33	149	71	1017	20	7872	10
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	165	51	23	82	5412	13	5605	12
	other broadleaves	1031	19	601	26	1110	28	980	19	1728	16	271	25	501	18	668	23	911	36	334	32	324	29	1209	18	1109	21	5057	11	15836	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	54467	4	13755	10	15592	11	29195	7	37989	5	18300	10	41336	6	35578	7	22357	9	12082	13	11634	13	33548	6	47824	5	41627	4	415285	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. 1218072. Birmensdorf, Swiss Federal Research Institute WSL

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