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 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 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	823	21	714	18	539	22	1096	17	415	21	635	15	291	23	293	25	1040	14	2014	11	610	16	9734	5
	fir	862	12	39	32	134	30	477	20	187	33	69	102	648	17	222	25	86	36	126	42	23	44	90	36	18	39	66	35	3046	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	20	56	0	.	12	68	393	24	147	21	263	24	993	13
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	117	57	144	28	3	85	263	30
	other conifers	46	42	11	63	0	.	20	55	55	46	0	.	3	61	20	47	11	87	12	71	8	69	9	56	34	34	1	100	233	17
	beech	1021	11	405	18	248	29	427	17	534	15	112	38	502	19	309	24	204	39	80	33	197	39	113	32	58	31	934	14	5144	5
	maple	358	25	138	30	135	41	162	25	211	27	70	30	182	34	135	28	192	23	30	58	63	40	173	25	53	34	176	31	2078	8
	ash	124	24	111	33	87	42	82	52	196	33	54	41	54	48	71	40	64	55	108	55	16	61	112	31	64	34	215	24	1358	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	94	27	275	24	314	19	127	29	182	23	139	24	194	24	117	37	86	44	466	16	449	22	1181	12	3958	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	3544	7	1010	14	1124	18	2290	12	2296	10	987	17	2706	10	1314	12	1431	12	781	19	680	19	2806	9	3236	8	4224	6	28430	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	1182	21	2033	12	1599	15	1200	16	733	21	590	31	2316	15	4071	10	1339	15	20250	4
	fir	1869	13	162	37	156	44	922	23	418	28	323	44	1230	15	541	31	235	31	218	32	35	44	165	36	32	50	132	35	6435	7
	pine	194	47	105	60	14	100	44	55	54	46	0	.	99	73	0	.	4	100	68	63	16	71	641	23	455	26	5	100	1699	14
	larch	0	.	14	100	83	72	9	100	73	48	0	.	9	100	34	100	68	64	0	.	31	87	771	17	429	27	949	18	2469	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	8	73	0	.	202	23
	beech	2243	11	642	20	491	26	670	18	1037	16	371	28	1318	16	773	19	367	30	331	30	233	37	274	38	198	34	1733	17	10682	5
	maple	636	15	269	25	103	37	131	34	774	21	264	26	338	26	507	21	201	37	123	41	218	42	170	30	89	41	91	39	3912	7
	ash	258	33	138	35	167	38	113	37	203	29	219	45	195	48	318	32	74	50	71	42	69	44	137	39	114	74	315	33	2391	11
	oak	285	39	53	50	244	39	92	43	50	48	12	100	33	62	7	100	19	68	0	0	0	.	98	39	6	100	303	24	1201	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	95	38	136	29	284	36	174	26	100	44	68	33	428	24	392	27	1679	16	4532	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	3427	12	4736	9	2466	15	5398	8	4078	11	2373	12	1643	16	1260	21	5207	9	6183	8	7961	6	55779	2
31-40 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	2779	12	359	38	606	27	1236	20	2087	15	2128	17	3095	12	3194	13	2236	14	1056	22	740	28	3033	12	5572	9	2221	18	30344	4
	fir	2291	13	222	41	320	37	1103	19	403	36	592	28	1607	17	774	22	248	32	316	37	124	52	312	34	133	36	372	34	8817	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	528	27	42	106	2491	12
	larch	0	.	5	201	54	84	0	.	61	57	10	100	0	.	0	.	72	57	0	.	81	77	1290	18	947	16	1320	17	3839	10
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	204	31	438	23	0	.	654	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	1177	17	1576	15	411	30	1446	15	1570	16	540	24	399	32	284	33	247	34	234	29	1459	15	15180	5
	maple	843	17	190	31	51	44	277	28	505	21	102	42	484	24	571	23	310	33	135	53	265	30	49	47	108	43	159	45	4048	8
	ash	275	24	182	35	482	32	277	24	639	21	238	54	288	61	324	28	202	41	119	69	86	45	144	43	62	49	105	38	3423	10
	oak	233	29	178	42	143	52	76	54	137	34	26	72	0	.	16	73	8	100	9	100	0	.	74	41	6	100	267	26	1175	14
	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	10	100	64	57	130	32	44	90	48	49	35	52	137	45	93	34	1246	18	2710	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	10916	6	2592	13	2720	14	4479	10	5958	8	3516	13	7135	8	6588	9	3712	11	2215	16	1622	18	6090	9	8120	7	8095	8	73757	2
41-50 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	3407	10	433	30	816	26	1576	20	2438	13	2610	15	4023	11	3270	13	3285	14	1393	25	1059	20	3260	12	6958	9	2691	16	37221	3
	fir	3235	11	288	36	354	34	1272	17	1071	20	491	27	1782	14	1175	17	420	33	546	35	257	33	340	34	185	35	300	32	11716	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	627	26	63	57	2681	11
	larch	12	100	29	71	71	61	39	74	106	55	0	.	0	.	13	100	70	84	0	.	29	100	1924	17	1612	15	1237	14	5143	9
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	157	33	320	24	0	.	476	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	1502	14	1695	14	374	36	1823	19	2082	16	702	29	252	32	646	26	89	70	360	36	975	16	17225	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	431	25	155	38	400	34	345	36	631	19	86	59	189	37	387	34	70	56	112	61	57	50	54	85	0	0	106	61	3022	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	235	35	97	43	81	47	67	61	382	26	11	100	69	43	0	.	87	63	15	100	47	60	66	46	57	73	721	20	1936	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	12647	5	3282	13	3240	14	5271	10	7431	8	3696	13	8426	8	7246	9	4772	12	2507	18	2290	15	6351	9	10212	7	7221	7	84590	2
51-60 cm	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	3284	11	473	32	843	30	1171	19	1731	17	2136	16	3759	12	4107	12	2670	15	1126	21	1234	21	2729	13	5653	10	2453	18	33369	4
	fir	3201	12	139	45	486	34	1824	18	1054	21	945	23	2644	14	1795	21	552	27	348	38	244	47	452	39	320	33	612	28	14617	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	2081	15	1696	16	1233	15	5553	8
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	92	54	246	27	0	.	338	25
	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	1883	16	2465	12	369	36	1688	19	1033	22	489	34	237	39	494	33	101	65	175	47	697	21	14502	5
	maple	321	27	102	45	24	71	65	50	213	36	104	46	123	48	269	34	74	58	42	74	54	50	0	.	118	42	0	.	1509	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	331	34	518	24	0	.	0	.	0	.	0	.	19	100	0	.	22	100	70	76	99	46	1488	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	140	73	22	100	31	71	54	60	42	71	104	42	1110	19
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	0
	total	10131	6	2597	15	3155	15	6196	10	7665	8	3554	13	8447	8	7597	9	4099	12	1906	17	2224	17	5704	10	8852	8	5878	10	78004	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	1022	25	1230	19	1630	21	2243	17	3043	16	1764	17	886	24	737	29	1502	19	3266	13	1425	17	22098	5
	fir	1861	19	101	58	339	35	1281	22	957	25	547	44	1831	18	987	23	604	33	138	52	39	100	99	75	290	40	138	50	9211	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	915	21	1560	19	79	71	619	33	415	32	144	51	190	54	241	61	67	74	167	42	500	29	6981	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	3956	13	4780	11	2256	19	4841	12	4765	13	2877	15	1277	22	1106	24	3307	13	5457	10	3164	10	46621	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	487	33	712	32	513	32	1315	19	1352	25	1148	22	677	34	817	31	1011	28	1622	18	1016	29	12255	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	1892	18	2776	15	892	26	2766	14	2397	18	1957	17	1122	29	1004	29	2118	18	2741	14	2040	17	25874	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	488	35	277	42	135	62	185	45	278	43	913	27	440	39	4469	12
	fir	392	42	0	.	251	53	372	43	422	43	63	100	606	37	323	51	63	100	0	.	132	70	0	.	152	72	50	100	2828	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	447	39	1202	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	785	30	126	71	476	39	646	31	1497	22	320	46	1120	25	1062	25	341	39	269	43	343	37	798	27	1438	21	1263	23	10484	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	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	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	.	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	.	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	233	50	551	35	180	58	109	71	113	71	296	45	68	100	312	43	439	31	495	34	601	32	3792	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	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	.	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	255	59	0	.	134	71	150	71	287	75	36	100	263	61	179	58	49	100	0	.	90	71	103	73	448	39	725	40	2719	19
total	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	15763	7	2497	19	4049	19	7809	12	11136	10	11210	12	18130	8	17646	10	13561	11	6297	17	5955	17	15359	9	30693	7	12596	12	172699	2
	fir	15241	8	1003	29	2287	22	7884	12	5327	14	3240	21	11587	10	6558	13	2754	21	2127	28	1025	32	1642	26	1397	24	2068	24	64140	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	2717	17	165	49	10531	8
	larch	75	64	81	47	326	39	137	50	611	26	25	81	19	94	192	48	419	36	0	.	274	52	9470	12	7270	11	6789	11	25688	6
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	1047	22	1768	18	9	94	2836	13
	other conifers	71	34	399	66	62	91	791	41	580	61	0	.	92	88	36	41	46	77	12	71	-16	122	13	58	42	35	82	98	2211	25
	beech	14987	6	6063	12	4118	17	7138	11	10026	9	1823	23	7845	13	6528	13	2583	20	1624	24	2136	21	920	30	1310	27	6638	11	73741	3
	maple	2885	10	925	19	373	25	713	18	2211	14	659	22	1368	17	1879	15	1000	18	449	28	831	25	475	26	432	30	479	25	14678	5
	ash	1409	18	897	24	1542	25	1568	25	2970	15	640	38	847	38	1638	21	543	31	504	38	367	34	463	31	274	40	913	30	14573	7
	oak	1219	23	737	32	1073	28	857	22	2047	24	62	67	124	58	81	61	49	57	105	61	2	100	276	33	149	71	1017	20	7799	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	995	19	601	26	1101	29	969	20	1720	16	243	27	476	18	668	23	852	38	334	32	301	31	1175	19	1108	21	5004	11	15548	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	54037	4	13755	10	15390	11	28538	7	37979	5	17902	10	41210	6	35338	7	21905	9	11788	14	10932	13	32923	7	47182	5	41172	4	410050	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. 1218061. Birmensdorf, Swiss Federal Research Institute WSL

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