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.

NFI1
growing stock (stemwood)
altitudinal vegetation belts (NaiS; 6 classes) · diameter at breast height (10 classes)
regional demarcation: canton
unit: 1000 m³
evaluation area: accessible forest without shrub forest
grid: 1.4-km grid
state 1983/85
		canton
		AG		AI		AR		BE		BL/BS		FR		GE		GL		GR		JU		LU		NE		NW		OW		SG		SH		SO		SZ		TG		TI		UR		VD		VS		ZG		ZH		Switzerland
altitudinal vegetation belts (NaiS; 6 classes)	diameter at breast height (10 classes)	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	±%	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	12-20 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	100
	21-30 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100
	31-40 cm	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	.
	41-50 cm	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	.
	51-60 cm	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	.
	61-70 cm	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	.
	71-80 cm	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	.
	81-90 cm	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	.
	91-100 cm	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	.
	>100 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	100
upper subalpine	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	12-20 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	239	18	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	55	3	100	0	.	138	24	0	.	0	.	391	14
	21-30 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	472	17	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	43	49	21	100	0	.	339	25	0	.	0	.	879	14
	31-40 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	742	18	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	41	56	9	100	0	.	371	23	0	.	0	.	1167	13
	41-50 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	603	19	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	55	43	5	100	0	.	282	20	0	.	0	.	944	14
	51-60 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	483	23	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	26	58	0	.	0	.	190	26	0	.	0	.	699	17
	61-70 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	240	28	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	100	0	.	0	.	129	38	0	.	0	.	383	22
	71-80 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	138	34	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	29	71	0	.	0	.	68	42	0	.	0	.	235	25
	81-90 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	73	51	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	51	59	0	.	0	.	124	38
	91-100 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	42	71	0	.	0	.	42	71
	>100 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	62	59	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	100	0	.	0	.	78	51
	total	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3052	13	0	.	0	.	0	.	0	.	8	100	0	.	0	.	0	.	0	.	0	.	217	36	38	100	0	.	1627	16	0	.	0	.	4941	10
subalpine	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	12-20 cm	0	.	0	.	0	.	171	18	0	.	0	.	0	.	13	80	793	11	0	.	13	92	0	.	36	67	61	53	48	39	0	.	0	.	2	71	0	.	76	24	15	53	32	50	451	15	0	.	0	.	1710	7
	21-30 cm	0	.	0	.	0	.	616	20	0	.	0	.	0	.	50	79	1959	11	0	.	10	100	0	.	25	90	114	44	109	45	0	.	0	.	9	80	0	.	213	26	42	52	76	51	1328	15	0	.	0	.	4551	7
	31-40 cm	0	.	0	.	0	.	989	20	0	.	0	.	0	.	90	67	3170	10	0	.	14	100	0	.	15	77	117	46	165	60	0	.	0	.	24	80	0	.	304	23	91	67	111	44	1607	13	0	.	0	.	6698	7
	41-50 cm	0	.	0	.	0	.	677	22	0	.	0	.	0	.	131	47	3212	10	0	.	0	.	0	.	19	100	72	58	88	65	0	.	0	.	20	73	0	.	405	21	77	60	182	39	1746	13	0	.	0	.	6630	6
	51-60 cm	0	.	0	.	0	.	366	24	0	.	0	.	0	.	36	60	1966	12	0	.	0	.	0	.	22	100	54	56	59	64	0	.	0	.	42	100	0	.	333	29	87	69	85	48	1169	14	0	.	0	.	4219	8
	61-70 cm	0	.	0	.	0	.	309	31	0	.	0	.	0	.	40	73	760	16	0	.	0	.	0	.	16	100	45	58	36	59	0	.	0	.	47	75	0	.	149	33	27	71	77	60	489	27	0	.	0	.	1995	11
	71-80 cm	0	.	0	.	0	.	73	52	0	.	0	.	0	.	31	72	324	26	0	.	0	.	0	.	0	.	44	84	16	100	0	.	0	.	0	.	0	.	116	43	34	71	24	100	351	28	0	.	0	.	1013	15
	81-90 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	36	71	159	36	0	.	0	.	0	.	0	.	0	.	25	71	0	.	0	.	0	.	0	.	61	51	0	.	16	100	86	50	0	.	0	.	382	22
	91-100 cm	0	.	0	.	0	.	18	100	0	.	0	.	0	.	0	.	78	58	0	.	0	.	0	.	0	.	0	.	14	100	0	.	0	.	0	.	0	.	14	100	0	.	0	.	32	100	0	.	0	.	155	40
	>100 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	52	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	32	100	31	100	0	.	0	.	114	60
	total	0	.	0	.	0	.	3219	17	0	.	0	.	0	.	478	45	12421	8	0	.	36	97	0	.	133	65	507	35	560	38	0	.	0	.	145	64	0	.	1671	17	372	50	634	37	7289	10	0	.	0	.	27466	5
high-montane	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	12-20 cm	0	.	1	100	0	.	398	18	0	.	145	32	0	.	15	62	1252	9	0	.	118	38	4	100	16	77	122	30	75	32	0	.	0	.	125	42	0	.	306	16	168	32	164	35	1188	11	1	100	0	.	4098	5
	21-30 cm	0	.	0	.	0	.	1004	17	0	.	367	34	0	.	53	64	3197	9	0	.	189	42	13	100	93	69	286	29	224	32	0	.	0	.	241	33	0	.	530	19	396	28	328	25	2042	11	9	100	0	.	8970	5
	31-40 cm	0	.	0	.	0	.	1685	15	0	.	500	29	0	.	49	54	5077	8	0	.	196	36	0	0	30	51	432	26	296	41	0	.	0	.	437	29	0	.	833	19	553	26	743	24	2483	10	4	100	0	.	13319	5
	41-50 cm	0	.	0	.	0	.	1800	15	0	.	376	33	0	.	71	55	5010	8	0	.	145	48	0	.	82	65	330	27	443	34	0	.	0	.	283	29	0	.	638	17	321	27	767	20	2227	11	40	100	0	.	12533	5
	51-60 cm	0	.	0	.	0	.	1336	17	0	.	137	57	0	.	60	86	3798	10	0	.	56	58	0	.	6	100	245	30	446	38	0	.	0	.	195	38	0	.	658	20	208	31	424	24	2034	14	0	.	0	.	9603	6
	61-70 cm	0	.	0	.	0	.	429	30	0	.	40	74	0	.	147	72	2108	13	0	.	44	72	0	.	9	100	174	34	219	43	0	.	0	.	18	100	0	.	318	33	152	61	155	30	643	19	0	.	0	.	4458	9
	71-80 cm	0	.	0	.	0	.	206	39	0	.	0	.	0	.	50	100	1070	18	0	.	0	.	0	.	0	.	63	58	119	62	0	.	0	.	16	100	0	.	217	34	103	71	134	57	439	25	0	.	0	.	2417	12
	81-90 cm	0	.	0	.	0	.	34	75	0	.	0	.	0	.	66	59	202	39	0	.	0	.	0	.	11	100	0	.	74	77	0	.	0	.	0	.	0	.	43	100	45	72	16	100	158	39	0	.	0	.	649	21
	91-100 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	21	100	161	55	0	.	0	.	0	.	0	.	0	.	38	100	0	.	0	.	0	.	0	.	59	71	31	100	0	.	20	100	0	.	0	.	330	34
	>100 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	70	72	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	191	51	0	.	20	100	0	0	0	.	0	.	281	40
	total	0	.	1	100	0	.	6892	13	0	.	1566	25	0	.	531	49	21945	7	0	.	748	32	17	100	246	56	1651	23	1933	26	0	.	0	.	1316	24	0	.	3794	13	1976	22	2752	17	11236	8	54	100	0	.	56658	4
lower and upper montane	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	12-20 cm	174	24	186	29	368	22	2911	7	133	28	898	14	0	.	409	23	440	15	787	15	855	13	620	13	200	29	386	22	1111	12	173	34	477	18	610	15	123	33	1049	12	161	26	1343	9	335	21	106	33	476	20	14334	3
	21-30 cm	479	24	656	26	1080	22	5858	7	354	23	1801	13	0	.	826	23	759	17	1783	13	1716	12	1384	13	360	30	666	23	2975	10	275	36	1183	16	1167	16	283	25	1212	12	340	25	3007	9	538	20	201	35	1315	16	30218	3
	31-40 cm	701	22	783	24	1293	19	9669	7	546	25	2705	14	0	.	990	20	901	17	2392	12	3307	12	2009	13	503	28	962	21	4126	10	257	39	1632	15	1748	15	401	28	1017	15	329	26	4355	9	436	21	523	29	2169	14	43753	3
	41-50 cm	419	25	588	27	1289	21	9913	6	606	24	2208	14	0	.	907	19	934	18	1992	13	3120	12	2327	11	336	34	937	23	4068	10	123	52	1480	15	1869	15	486	29	822	15	307	29	3950	9	384	24	528	31	1993	15	41586	3
	51-60 cm	250	39	203	38	843	24	6805	8	279	32	1263	17	0	.	431	28	814	19	1031	15	2117	15	1560	15	190	32	717	25	2508	13	77	46	485	26	1308	18	272	43	555	20	225	43	2845	11	314	39	408	35	979	19	26479	3
	61-70 cm	82	60	62	78	35	71	2596	10	137	45	753	23	0	.	214	38	332	30	461	25	497	25	489	21	56	59	334	40	1060	18	25	100	168	53	682	23	84	52	268	25	134	61	1176	16	62	51	78	62	336	29	10122	5
	71-80 cm	0	.	48	72	25	100	1191	17	28	100	149	45	0	.	130	43	140	50	67	59	85	58	484	30	0	.	60	71	443	35	27	100	24	100	402	34	0	.	184	52	0	.	429	29	28	75	24	100	169	42	4135	10
	81-90 cm	55	71	0	.	0	.	484	27	0	.	0	.	0	.	0	.	82	54	30	100	48	74	26	100	0	.	30	100	137	50	0	.	28	100	67	72	0	.	55	67	19	100	68	59	19	100	0	.	0	.	1148	16
	91-100 cm	0	.	0	.	0	.	163	51	0	.	22	100	0	.	48	100	0	.	25	100	0	.	71	71	0	.	0	.	0	.	0	.	0	.	21	100	0	.	22	100	19	100	80	71	0	.	0	.	21	100	493	27
	>100 cm	0	.	0	.	0	.	70	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	37	100	0	.	0	.	0	.	0	.	0	.	20	100	0	.	102	60	0	.	0	.	0	.	0	.	0	.	229	45
	total	2159	20	2527	23	4933	17	39661	5	2083	21	9800	11	0	.	3956	17	4401	13	8568	10	11746	10	9007	10	1645	25	4093	18	16429	8	956	29	5477	12	7894	12	1648	24	5286	9	1534	24	17254	7	2116	18	1868	25	7457	12	172498	2
submontane	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	12-20 cm	1252	11	0	.	0	.	1312	12	319	20	334	22	0	.	0	.	45	43	260	22	363	25	95	31	3	100	88	50	321	25	304	21	433	18	36	49	550	17	0	.	76	54	982	14	111	37	59	61	707	12	7651	4
	21-30 cm	2389	11	0	.	0	.	2597	11	775	19	907	18	0	.	20	100	133	43	821	21	885	19	210	33	56	81	60	51	644	24	597	25	1068	15	106	51	1114	17	0	.	119	42	1959	12	98	40	64	55	1734	12	16355	4
	31-40 cm	3607	10	0	.	0	.	3884	10	968	18	1451	17	0	.	15	100	183	42	987	19	1414	17	327	36	78	76	111	55	767	24	807	24	1521	16	158	50	1591	17	0	.	44	58	2340	12	29	57	94	61	3534	11	23909	4
	41-50 cm	3572	11	0	.	0	.	4584	10	884	19	1263	18	0	.	36	100	163	43	808	21	1264	17	194	40	9	100	80	61	672	24	500	22	1525	17	99	54	1456	18	0	.	4	84	1465	14	63	48	87	57	3589	11	22317	4
	51-60 cm	2519	12	0	.	0	.	2936	12	545	22	659	25	0	.	15	100	124	48	518	29	718	23	72	64	15	100	29	71	331	30	337	29	697	24	39	100	916	20	0	.	37	71	637	17	94	50	48	71	1781	14	13066	5
	61-70 cm	719	20	0	.	0	.	1186	17	231	36	319	38	0	.	39	100	17	100	173	50	145	47	16	100	0	.	0	.	181	57	99	41	345	34	19	100	382	27	0	.	17	100	371	29	21	80	0	.	738	19	5017	8
	71-80 cm	436	31	0	.	0	.	652	24	61	71	126	45	0	.	0	.	27	100	50	100	67	58	0	.	0	.	0	.	0	.	0	.	136	61	0	.	127	41	0	.	11	100	108	45	0	.	0	.	198	39	2000	13
	81-90 cm	117	51	0	.	0	.	363	36	78	72	95	58	0	.	0	.	0	.	0	.	22	100	0	.	0	.	0	.	0	.	38	100	0	.	0	.	23	100	0	.	0	.	29	100	0	.	0	.	90	59	856	21
	91-100 cm	31	100	0	.	0	.	39	100	0	.	20	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	40	100	0	.	0	.	0	.	0	.	0	.	37	100	168	46
	>100 cm	36	100	0	.	0	.	0	.	54	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	89	72
	total	14677	8	0	.	0	.	17552	8	3915	14	5175	16	0	.	125	100	692	36	3616	16	4877	15	914	30	160	71	369	47	2916	20	2681	18	5726	13	457	45	6200	13	0	.	308	42	7891	10	415	32	352	46	12408	9	91427	3
hyperinsubric and colline	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	12-20 cm	0	.	0	.	0	.	0	.	0	.	0	.	138	44	0	.	194	29	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	100	1699	9	0	.	83	54	223	23	0	.	35	66	2375	8
	21-30 cm	0	.	0	.	0	.	0	.	0	.	0	.	84	39	0	.	128	37	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1460	10	0	.	37	63	212	26	0	.	35	71	1957	8
	31-40 cm	0	.	0	.	0	.	0	.	0	.	0	.	65	54	0	.	62	43	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	820	13	0	.	17	100	187	25	0	.	81	87	1239	11
	41-50 cm	0	.	0	.	0	.	0	.	0	.	0	.	54	84	0	.	123	40	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	32	100	583	17	0	.	-2	311	120	39	0	.	34	60	946	14
	51-60 cm	0	.	0	.	0	.	0	.	0	.	0	.	28	95	0	.	83	53	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	279	19	0	.	0	.	44	66	0	.	12	100	446	18
	61-70 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	101	31	0	.	0	.	18	73	0	.	0	.	137	27
	71-80 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	232	33	0	.	0	.	11	100	0	.	28	100	270	31
	81-90 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	73	54	0	.	0	.	0	.	0	.	29	100	102	48
	91-100 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	108	45	0	.	0	.	0	.	0	.	0	.	108	45
	>100 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	44	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	456	42	0	.	0	.	0	.	0	.	0	.	500	39
	total	0	.	0	.	0	.	0	.	0	.	0	.	369	39	0	.	654	26	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	42	100	5811	8	0	.	136	57	815	20	0	.	253	63	8079	7
total	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	12-20 cm	1426	10	187	29	368	22	4793	6	452	16	1377	11	138	44	438	22	2968	6	1047	12	1348	11	719	12	255	25	657	16	1555	10	477	18	910	12	773	14	676	15	3142	6	422	19	2605	8	2446	7	167	30	1218	11	30562	2
	21-30 cm	2867	10	656	26	1080	22	10075	5	1129	14	3075	10	84	39	948	21	6651	6	2604	11	2799	10	1607	12	533	25	1130	16	3952	9	872	21	2251	11	1523	14	1397	14	3458	6	918	16	5406	7	4558	7	273	29	3084	10	62933	2
	31-40 cm	4308	9	783	24	1293	19	16227	5	1514	14	4657	10	65	54	1144	18	10136	5	3378	10	4931	10	2336	12	626	24	1626	15	5355	9	1064	20	3153	11	2367	13	1998	15	3015	8	1026	18	7566	7	5114	7	620	26	5784	9	90085	2
	41-50 cm	3991	10	588	27	1289	21	16974	5	1490	15	3847	10	54	84	1145	17	10046	5	2800	11	4529	10	2521	11	447	29	1420	17	5271	9	623	21	3005	11	2272	13	1974	15	2503	8	714	19	6362	7	4821	7	655	27	5615	8	84955	2
	51-60 cm	2769	12	203	38	843	24	11442	6	825	18	2059	14	28	95	541	25	7268	6	1549	14	2890	12	1633	14	232	28	1045	18	3345	11	413	25	1182	18	1584	16	1189	18	1851	11	556	24	3992	9	3845	9	456	32	2772	11	54512	2
	61-70 cm	801	19	62	78	35	71	4520	8	368	28	1113	19	0	.	441	32	3475	10	634	23	686	21	505	21	80	47	554	27	1496	16	124	38	513	29	766	21	466	24	849	16	331	38	1779	13	1362	14	78	62	1074	16	22110	4
	71-80 cm	436	31	48	72	25	100	2122	13	89	58	275	32	0	.	211	37	1699	13	117	54	152	41	484	30	0	.	166	40	578	30	27	100	160	54	418	33	127	41	778	19	148	53	695	22	897	17	24	100	394	28	10071	6
	81-90 cm	172	41	0	.	0	.	881	21	78	72	95	58	0	.	101	45	516	22	30	100	71	60	26	100	11	100	30	100	235	39	38	100	28	100	67	72	23	100	231	33	64	59	130	42	314	26	0	.	119	51	3261	10
	91-100 cm	31	100	0	.	0	.	220	43	0	.	42	71	0	.	69	76	238	42	25	100	0	.	71	71	0	.	0	.	52	78	0	.	0	.	21	100	40	100	203	34	50	72	80	71	94	51	0	.	59	73	1296	16
	>100 cm	36	100	0	.	0	.	70	100	54	100	0	.	0	.	52	100	177	40	0	.	0	.	37	100	0	.	0	0	0	.	0	.	0	.	20	100	0	.	748	30	0	.	52	72	47	74	0	.	0	.	1292	21
	total	16836	7	2528	23	4933	17	67324	4	5997	12	16541	8	369	39	5089	15	43173	4	12184	8	17407	8	9938	9	2184	21	6628	13	21838	7	3638	15	11203	9	9812	10	7891	11	16779	4	4229	15	28667	5	23499	5	2274	22	20118	7	361078	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. 1321131. Birmensdorf, Swiss Federal Research Institute WSL

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