Selection from the list of topics

What do the numbers stand for?
What is the purpose of the standard error?
When are two results statistically different?
When is it not sufficient to consider only the standard error?
Two types of changes?
Change analyses: When are the results (not) additive?
Why is a dot (“.”) sometimes given in the cells for standard error or estimated value?
Why are no standard error values shown in some tables?
Negative values for growing stock, increment or fellings?

1. What do the numbers stand for?

The tables mainly show results that were calculated using statistical methods from the data of the sample inventory of the National Forest Inventory (NFI). Such results always consist of two figures: (1) the estimated value and (2) the sampling error, the so-called standard error.

Example 1: Estimated value and standard error

NFI5

volume of deadwood (stemwood)
ownership (2 categories)

regional demarcation: production region

unit: m³/ha

evaluation area: accessible forest without shrub forest

grid: 1.4 km grid, subgrids 1-5

state 2018/26
	production region
	Jura		Plateau		Pre-Alps		Alps		Southern Alps		Switzerland
ownership (2 categories)	m³/ha	±%	m³/ha	±%	m³/ha	±%	m³/ha	±%	m³/ha	±%	m³/ha	±%
public	30	10	17	13	37	9	36	6	26	10	30	4
private	27	17	20	12	50	10	32	8	39	13	34	5
total	29estimated value	9standard error	19	9	44	7	35	5	29	8	32	3

The tables usually show the relative (percentage) standard error (“±%”), but occasionally – in the case of estimated percentages – the absolute standard error (“±”).

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2. What is the purpose of the standard error?

The standard error can be used to define confidence intervals around the estimated value, which contain the true value of the population with a certain statistical certainty.

The statistical certainty is:

68% if the confidence interval is calculated using the standard error
(68% confidence interval = estimated value ± standard error), and
95% if the confidence interval is calculated using twice the standard error
(95% confidence interval = estimated value ± 2 × standard error*)

Example 2: Calculating confidence intervals

LFI5
volume of deadwood (stemwood)
ownership (2 categories)
regional demarcation: production region
unit: m³/ha
evaluation area: accessible forest without shrub forest
grid: 1.4 km grid, subgrids 1-5
state 2018/26
	production region
	Jura
ownership (2 classes)	m³/ha	±%
public	30	10
private	27	17
total	29	9

Question
What are the 68% and 95% confidence intervals of the above estimates?

Procedure

Calculate the absolute standard error (= relative standard error × estimated value / 100)
Calculate the confidence intervals
- 68% confidence interval = estimated value ± absolute standard error
- 95% confidence interval = estimated value ± 2 × absolute standard error

Answer

			Step 1	Step 2

ownership (2 categories)	volume of deadwood Jura NFI5
	estimated value	standard error		confidence interval
		relative	absolute	68%	95%
	m³/ha	±%	±m³/ha	m³/ha	m³/ha
public	30	10	3	27-33	24-36
private	27	17	5	22-32	17-37
total	29	9	3	26-32calculated with the standard error, i.e. 29 ± 3	23-25calculated with twice the standard error, i.e. 29 ± 2 × 3

The volume of deadwood in the Jura is between 26 and 32 m³/ha with a statistical certainty of 68% and between 23 and 35 m³/ha with a statistical certainty of 95%.

The 95% confidence interval is larger than the 68% confidence interval. This results in higher statistical certainty with the 95% confidence interval.

Example 3: Visualisation of the 68% and 95% confidence intervals

Data: see example 2

When interpreting the results, one must define the level of statistical certainty that one would like to apply to the statement.

The 68% confidence interval is generally used in the National Forest Inventory (NFI).

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3. When are two results statistically different?*

This can be checked by comparing the confidence intervals of two estimated values:

If the 68% confidence intervals of two estimates do not overlap, it can be assumed with some certainty that the two populations differ.
If the 95% confidence intervals of two estimates do not overlap, it can be assumed with high certainty that the two populations differ.

Example 4: Interpretation of two results from the same inventory

NFI5
growing stock (stemwood)
ownership (2 categories)
regional demarcation: production region
unit: m³/ha
evaluation area: accessible forest without shrub forest
grid: 1.4 km grid, subgrids 1-5
state 2018/26
	production region
	Jura		Plateau		Pre-Alps		Alps		Southern Alps		Switzerland
ownership (2 categories)	m³/ha	±%	m³/ha	±%	m³/ha	±%	m³/ha	±%	m³/ha	±%	m³/ha	±%
public	331	3	311	3	405	4	300	3	256	5	314	2
private	387	5	432	4	454	4	348	4	285	6	398	2
total	345	2	363	2	431	2	314	2	262	4	343	1

	case 2						case 1

case 1

Question
Is the growing stock per hectare greater in the Alps than in the Southern Alps?

Procedure

Calculate the absolute standard errors
Calculate the confidence intervals depending on the desired level of statistical certainty:
- 68% confidence intervals (some certainty; absolute standard error)
- 95% confidence intervals (high certainty; twice the absolute standard error)
Assess whether the confidence intervals corresponding to the desired level of statistical certainty do not overlap

Answer

ownership (2 categories)	growing stock NFI5
	Alps					Southern Alps
	estimated value	standard error		confidence interval		estimated value	standard error		confidence interval
		relative	absolute	68%	95%		relative	absolute	68%	95%
	m³/ha	±%	±m³/ha	m³/ha	m³/ha	m³/ha	±%	±m³/ha	m³/ha	m³/ha
total	314	2	6	308-320	302-326	262	4	10	252-272	242-282

Neither the 68%-confidence intervals nor the 95%-confidence intervals overlap (pairs of values in ).

In this case, the level of statistical certainty selected has no influence on the result.

Overall, this means that there is high statistical certainty that the growing stock per hectare is greater in the Alps than in the Southern Alps.

Case 2

Question
Is the growing stock per hectare greater in the Plateau than in the Jura?

Procedure

See case 1.

Answer

ownership (2 categories)	growing stock NFI5
	Jura					Plateau
	estimated value	standard error		confidence interval		estimated value	standard error		confidence interval
		relative	absolute	68%	95%		relative	absolute	68%	95%
	m³/ha	±%	±m³/ha	m³/ha	m³/ha	m³/ha	±%	±m³/ha	m³/ha	m³/ha
total	345	2	7	338-352	331-359	363	2	7	356-370	349-377

The 68%-confidence intervals do not overlap (pairs of values in ).
In contrast, the 95%-confidence intervals overlap (pairs of values in ).

In this case, the level of statistical certainty selected has an influence on the interpretation of the results. At the 68% confidence interval level, the conclusion is that the growing stock per hectare is higher in the Plateau than in the Jura. At the 95% confidence interval level, however, this conclusion cannot be drawn.

Considering both confidence interval levels, it can be said that there is some, but not high, statistical certainty that the growing stock per hectare is greater in the Plateau than in the Jura.

The confidence intervals can also be used to determine whether a value estimated with a sample from the National Forest Inventory (NFI) deviates from a target value (e.g. from Swiss forest policy) or whether a change between two inventories is statistically certain.

Example 5: Interpretation of two results from different inventories

ownership (2 categories)	growing stock Plateau*
	NFI4		NFI5
	m³/ha	±%	m³/ha	±%
public	340	3	309	3
private	447	4	432	4
total	386	2	363	2
* accessible forest without shrub forest NFI4/NFI5

Question
Has the growing stock per hectare in the Plateau decreased from NFI4 to NFI5?

Procedure

Calculate the absolute standard errors
Calculate the confidence intervals depending on the desired level of statistical certainty:
- 68% confidence intervals (some certainty; absolute standard error)
- 95% confidence intervals (high certainty; twice the absolute standard error)
Assess whether the confidence intervals corresponding to the desired level of statistical certainty do not overlap.

Answer

ownership (2 categories)	growing stock Plateau*
	NFI4					NFI5
	estimated value	standard error		confidence interval		estimated value	standard error		confidence interval
		relative	absolute	68%	95%		relative	absolute	68%	95%
	m³/ha	±%	±	m³/ha	m³/ha	m³/ha	±%	±	m³/ha	m³/ha
public	340	3	11	329-351	318-362	309	3	11	298-320	287-331
private	447	4	16	431-463	415-479	432	4	17	415-449	398-466
total	386	2	8	378-394	370-402	363	2	9	354-372	345-381
* accessible forest without shrub forest NFI4/NFI5

The 68%-confidence intervals do not overlap in the public forest (pairs of values in ), but they do in the private forest and the total forest (pairs of values in ). At the certainty level of the 68% confidence intervals, it can be concluded that the growing stock per hectare in the public forest of the Plateau has decreased. For the private forest, as well as for the total forest, the decrease is not statistically certain at this level.

The 95%-confidence intervals overlap in all three categories. At the certainty level of the 95% confidence intervals, it is therefore not certain that the growing stock has decreased, even for the public forest.

See also examples 6 and 7, in which changes between two inventories are interpreted using the more sensitive metric of net change.

For many target variables in the NFI, it is possible to determine whether a change between two inventories is statistically certain, not only by comparing the states in the two inventories (see example 5), but also by analysing the net change** between the two inventories.

To do this, one must first define the level of statistical certainty that one would like to apply to the statement (as done above):

A net change has occurred with some certainty if the relative standard error is less than 100% or if the confidence interval calculated with the absolute standard error (68% confidence interval) does not include the value 0.
A net change has occurred with high certainty if twice the relative standard error is less than 100% or if the confidence interval calculated with twice the absolute standard error (95% confidence interval) does not include the value 0.

Example 6: Interpretation of net changes with the relative standard error

ownership (2 categories)	change in growing stock from NFI4 to NFI5, Plateau*
	estimated value	standard error
	m³/ha	±%
public	-34	30
private	-9	147
total	-23	34
* accessible forest without shrub forest NFI4/NFI5

Question
Has the growing stock per hectare in the Plateau decreased from NFI4 to NFI5?

Procedure

Define the level of statistical certainty (68% or 95% confidence interval)
Determine whether:
- the relative standard error is less than 100% (certainty level of the 68% confidence interval)
- twice the relative standard error is less than 100% (certainty level of the 95% confidence interval)

Answer

ownership (2 categories)	change in growing stock from NFI4 to NFI5, Plateau*
	estimated value	standard error
		single	double
	m³/ha	±%	±%
public	-34	30	60
private	-9	147	294
total	-23	34	68
* accessible forest without shrub forest NFI4/NFI5

The single relative standard error is less than 100% for both the public forest and the total forest (highlighted values). For the private forest, however, it is greater than 100% (highlighted values). At the certainty level of the 68% confidence interval, it can be concluded that the growing stock in the Plateau has decreased in the public forest and in total. For the private forest, on the other hand, the decrease in stock is not statistically certain at this level.

The same conclusion is reached in this example with the certainty level of the 95% confidence interval, as twice the relative standard error is again less than 100% for both the public forest and the total forest.

Overall, this means that there is high statistical certainty that the growing stock per hectare has decreased in the public forest in the Plateau, as well as overall. For private forests, on the other hand, the decrease in stock is not statistically certain (as twice the relative standard error and the relative standard error are both less than 100%).

Example 7: Interpretation of net changes with the absolute standard error

ownership (2 categories)	change in growing stock from NFI4 to NFI5, Plateau*
	estimated value	standard error
	%	±
public	-10	3
private	-2	3
total	-6	2
* accessible forest without shrub forest NFI4/NFI5

Question
Has the growing stock per hectare in the Plateau decreased from NFI4 to NFI5?

Procedure

Define the level of statistical certainty (68% or 95% confidence interval)
Calculate the confidence interval based on the defined certainty level
- 68% confidence interval with the absolute standard error
- 95% confidence interval with twice the absolute standard error
Determine whether the corresponding confidence interval does not include the value 0

Answer

ownership (2 categories)	change in growing stock from NFI4 to NFI5, Plateau*
	estimated value	standard error		confidence interval
		single	double	68%	95%
	%	±	±	%	%
public	-10	3	6	-13 to -7	-16 to -4
private	-2	3	6	-5 to +1	-8 to +4
total	-6	2	4	-8 to -4	-10 to -2
* accessible forest without shrub forest NFI4/NFI5

Neither the 68% nor the 95% confidence interval includes the value 0 for the public forest or for the total forest. At both certainty levels, this leads to the conclusion that the growing stock in the Plateau has decreased in the public forest and in total. For the private forest, on the other hand, the decrease in stock is not statistically certain (as the confidence intervals include the value 0).

Net changes can be interpreted using the absolute or relative standard error (see examples 6 and 7). It is advisable to use the absolute standard error if the estimated value in the table is shown as a percentage (%; as in example 7), and the relative standard error if the estimated value in the table is shown in absolute terms (m³, m³/ha, pc, m²; as in example 6). This means that the standard error can be taken directly from the table and does not need to be converted.

To assess whether a change is statistically certain, it is advisable to analyse the net change between the two inventories wherever possible. Net changes are more sensitive than status comparisons, which makes it easier to detect differences statistically. See examples 6 and 7 (net change) and 7 (comparison of two results from different inventories).

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4. When is it not sufficient to consider only the standard error?

The National Forest Inventory (NFI) is a sample-based large-scale inventory whose sample areas are arranged on a grid with a mesh size of 1.4 km × 1.4 km. The NFI was designed in such a way that the growing stock for Switzerland as a whole can be predicted with a maximum standard error of 1%.

If results are requested for individual regions or for individual classes, the standard error quickly becomes much larger. This is because the number of sample areas and subjects (e.g. sample trees, young forest plants, pieces of deadwood) analysed for the queried combination of variable expressions* is considerably lower than for the total.

Example 8: Standard error and combination of variable expressions

region	growing stock
	total		maple		sycamore		Norway maple
	estimated value	standard error	estimated value	standard error	estimated value	standard error	estimated value	standard error
	m³/ha	±%	m³/ha	±%	m³/ha	±%	m³/ha	±%
Switzerland	343	1	12	5	11	5	1	20
production region "Plateau"	363	2	15	10	14	11	0	50
Canton of Aargau	289	7	15	20	13	20	1	63

The standard error increases as the level of detail increases.

Large standard errors are to be expected if:

forest districts are selected as the regional demarcation or results for small cantons (e.g. Appenzell Innerrhoden, Nidwalden) are queried,
a classification variable with many classes is selected (e.g. tree species in 56 classes),
several classification variables are combined with each other (e.g. main tree species and development stage).

Large standard errors are an indication that the estimate may have been based on too small a number of sample areas or subjects and that the result of the estimate therefore may not be reliable.

For the target variable “number of stems of young forest plants with browsing damage” (browsing intensity), an uncertain estimate is not necessarily recognisable by a large standard error. This is because this target variable is a quotient estimator**, which is – due to the survey method – only based on a small number of assessed young forest plants for rarer tree species (e.g. pine, larch, Arolla pine, oak, chestnut). Accordingly, for this target variable one should always check how many young forest plants were assessed for the individual estimates. As a rule of thumb, at least 30 young forest plants per estimate should have been assessed for browsing in order to obtain a reliable estimate.

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5. Two types of changes?

There are two types of changes in the National Forest Inventory (NFI):

The first type of change involves specific target variables for change components such as increment, fellings or mortality. These target variables are only available for two consecutive measurement cycles, e.g. NFI4 to NFI5. When change components are analysed, the classification variable expression of the second measurement cycle is generally assigned to the first measurement cycle. These analyses therefore do not take into account any change in the expression (e.g. from private to public ownership) from the earlier to the later measurement cycle.
In the second type of change, the difference in target variables, such as stem number, growing stock or forest area, is used to calculate the net change between two measurement cycles. These target variables are usually used to represent states, e.g. that in NFI5, but can also show the net change between any two measurement cycles, e.g. between NFI1 and NFI5. In these net change analyses, the change in expression is taken into account for some of the classification variables, including “tree condition” and “forest, non-forest”. In this way, it can be seen, for example, that the forest area has increased. For the remaining classification variables, the expressions are regarded as static. This means that the most recent state – whether it was assessed in a measurement cycle (e.g. “primary forest function NFI5”) or taken from an external data source (e.g. “protection forest [2022]”) – is assigned to all measurement cycles.

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6. Change analyses: When are the results (not) additive?

The results are:

additive if they are reported as the total change between two measurement dates. For example, the fellings for the various production regions reported in cubic metres (m³) can be added together to obtain the total fellings for Switzerland.
not additive if they are reported as a change per year (e.g. m³/year). For example, the fellings for the various production regions reported in cubic metres per year (m³/year) cannot be added together to obtain the total fellings for Switzerland.

Example 9: : Additivity/non-additivity of changes

	growing stock: total change between NFI4 and NFI5 (in 1000 m³)*
	Jura		Plateau		Pre-Alps		Alps		Southern Alps		Switzerland
higher/lower altitude zone	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%
lower altitude zone	-3759.0	28	-4909.1	36	-1025.2	133	-317.1	195	3464.1	31	-6546.3	42
higher altitude zone	574.3	117	-328.0	62	1093.0	123	7128.4	21	666.7	93	9134.3	24
total	-3184.7	40	-5237.1	34	67.9	2805	6811.3	23	4130.8	30	2588.1	136
	* accessible forest without shrub forest NFI4/NFI5
	additive

	growing stock: annual change between NFI4 and NFI5 (in 1000 m³/year)*
	Jura		Plateau		Pre-Alps		Alps		Southern Alps		Switzerland
higher/lower altitude zone	1000 m³/year	±%	1000 m³/year	±%	1000 m³/year	±%	1000 m³/year	±%	1000 m³/year	±%	1000 m³/year	±%
lower altitude zone	-421.1	28	-560.6	36	-115.7	133	-35.9	195	389.5	31	-740.7	42
higher altitude zone	64.7	117	-38.3	62	122.4	123	810.4	21	74.9	93	1032.7	24
total	-357.3	40	-598.4	34	7.6	2805	773.8	23	464.4	30	292.7	136
	* accessible forest without shrub forest NFI4/NFI5
	not additive

The non-additivity of changes expressed per year arises because the total change is divided by the average number of years between the two measurement dates in the domain* under consideration, and this average number of years varies slightly depending on the domain.

Example 10: Average number of years per domain

domain		mean number of years*
production region	higher/lower altitude zone
Mittelland	-	8.75
Plateau	higher altitude zone	8.56
Plateau	lower altitude zone	8.76
Southern Alps	-	8.90
Southern Alps	higher altitude zone	8.90
Southern Alps	lower altitude zone	8.89
* between the NFI4 and NFI5 measurements in the accessible forest without shrub forest

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7. Why is a dot (“.”) sometimes given in the cells for standard error or estimated value?

In the calculation of a results table, data is not always available for all combinations of variable expressions*. In most cases, this indicates that the variable estimated with the relevant target variable does not occur or only occurs very rarely. The value 0 is then usually used. However, as this value is not based on any direct measurements, a dot (“.”) is given for the associated standard error. If reference is made to the assumed value of 0 in the calculation, e.g. in the case of percentages or certain change estimates, no value can be used. In this case, a dot (“.”) is given for the estimated value and the standard error.

For example, no Arolla pines have yet been found and measured in the Plateau in the National Forest Inventory (NFI) (growing stock of Arolla pine by production region). It can therefore be assumed that the values are missing because the Arolla pine actually does not occur in the Plateau, and therefore the growing stock in that region must be 0.

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8. Why are no standard error values shown in some tables?

The data in these tables originates from a complete survey and not from a sample inventory. Accordingly, it is not necessary to specify a standard error because there is no uncertainty due to sampling.

The forest road network survey that the National Forest Inventory (NFI) periodically carries out with the local forestry services is an example of such a complete survey.

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9. Negative values for growing stock, increment or fellings?

A negative value is possible if the result could only be calculated on the basis of a few trees. The estimate is therefore not reliable. This is also reflected in the standard error, which is usually extremely large for negative stock, increment or felling values.

Negative values can occur because, when the stemwood volume of the tally trees is determined, the volume estimated solely on the basis of the diameter at breast height (DBH) (tariff volume) is adjusted using the volume of the tally trees estimated on the basis of DBH, diameter at 7 m height and tree height. This procedure enables an unbiased and more accurate calculation of the stemwood volume. However, it can lead to negative values for all target variables that are based on the stemwood volume of the tally trees (e.g. growing stock, increment, fellings) if the number of tally trees in the selected combination of variable expressions* is small.

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NFI2
number of stems of young forest plants
size classe (young forest; 5 classes) · main tree species in young forest (counting)
regional demarcation: forest district (2024)
unit: 1000 n
evaluation area: stockable and accessible forest without shrub forest
grid: 1.4-km grid
state 1993/95
		forest district (2024)
		AG01		AG02		AG03		AG04		AI01		AR01		BE01		BE02		BE03		BE04		BSBL01		BSBL02		BSBL03		BSBL04		FR01		FR02		FR03		FR04		GE01		GL01		GR01		GR02		GR03		GR04		GR05		JU01		LU01		LU02		LU03		NE01		NE02		NE03		NE04		NE06		NW01		OW01		OW02		SG01		SG02		SG03		SG04		SG05		SH01		SO01		SO02		SO03		SO04		SZ01		SZ02		SZ03		TG01		TG02		TG03		TI01		TI02		TI03		TI04		TI05		TI06		TI07		TI08		TI09		UR01		UR02		UR03		VD02		VD03		VD04		VD05		VD06		VD07		VD08		VD09		VD11		VD12		VD14		VD15		VD16		VD18		VD20		VD22		VS01		VS02		VS03		ZG01		ZH01		ZH02		ZH03		ZH04		ZH05		ZH06		ZH07		lakes		Switzerland
size classe (young forest; 5 classes)	main tree species in young forest (counting)	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	±%	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	±%	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	±%	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	±%	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	±%	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	±%	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	.	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	species not assessed in all inventories	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	.	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	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	.	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
height 10-39 cm	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	.	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	0	.	11981	55	5285	53	30264	52	1691	100	9950	87	48178	36	48546	22	117663	23	3298	37	17380	100	1829	70	298	100	0	.	3266	92	6589	73	2853	37	6111	57	0	.	4150	47	15764	30	7054	33	8942	33	28166	30	15260	28	3758	44	2571	56	9881	31	9291	36	339	100	2265	64	316	100	631	100	2553	47	0	.	4970	34	7871	38	2726	100	3817	66	8437	75	8578	48	1608	61	4697	51	8875	61	3003	58	624	71	316	100	6714	44	10253	42	3887	52	2797	43	6187	70	4736	47	1819	53	1830	47	4543	41	600	100	0	.	0	.	314	100	344	100	0	.	1910	63	1593	100	617	71	3151	60	1564	67	282	100	341	100	283	100	1363	49	11615	91	0	0	17253	49	975	58	4788	45	18057	100	0	.	6780	75	0	.	1960	74	12884	37	28377	26	12805	32	1070	76	283	100	15227	43	1771	69	1581	54	6182	69	13442	55	8744	73	0	.	700563	8
	fir	911	58	341	100	7511	45	16206	33	3315	82	10075	34	1020	77	61532	22	103125	26	19459	40	631	100	2137	51	2231	53	0	.	2814	67	2038	71	5455	50	2480	51	0	.	944	58	319	100	0	.	640	100	2307	53	0	.	40260	23	6245	37	19650	33	8362	39	2545	56	4233	49	5685	55	947	75	7695	50	1047	74	2650	59	1282	50	9288	38	2796	64	640	100	4545	70	2889	40	613	71	7503	36	4761	41	2213	87	4048	44	3132	55	4931	53	3729	42	6756	36	1661	60	639	71	0	.	300	100	0	.	300	100	0	.	0	.	627	71	0	0	2833	62	0	.	0	.	640	100	1863	70	0	.	897	58	1330	62	0	.	1267	61	7026	67	5192	41	682	100	2600	56	13881	41	3504	50	4659	60	4056	72	677	100	1278	79	960	58	2216	55	2890	48	1333	79	639	100	17743	59	18745	59	9943	46	617	100	11798	85	11918	51	0	.	538648	8
	pine	298	100	0	.	0	.	0	.	339	100	0	.	328	100	0	.	925	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	328	100	0	.	304	100	7530	31	0	.	0	.	0	.	1016	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	328	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1967	100	0	.	0	.	0	.	283	100	0	.	0	.	0	.	341	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	319	100	4401	57	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18705	23
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1604	82	0	.	4122	78	4416	32	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	663	100	951	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2430	88	0	0	3032	65	0	.	0	.	0	.	314	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5385	67	1227	61	2457	56	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	26600	23
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	646	71	7160	35	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	.	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	.	11028	39	623	71	637	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20094	25
	other conifers	0	.	0	.	0	.	283	100	0	0	0	.	0	0	0	.	308	100	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	.	0	.	0	.	0	0	0	.	738	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	282	100	566	71	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	.	2726	100	0	.	0	.	0	.	0	.	0	0	0	0	0	0	331	100	0	.	1278	100	0	.	0	.	0	.	0	.	0	.	0	.	6513	49
	beech	137611	21	67802	38	69191	40	34002	31	3977	76	20503	55	62178	31	70186	27	97966	22	224850	28	129161	45	53037	39	179992	29	0	.	51159	64	17606	57	18573	69	22025	52	0	.	17126	41	25316	52	7731	49	1280	100	1499	82	0	.	192960	20	33625	46	4156	35	4407	48	35603	45	12490	41	41955	64	12089	47	20153	31	46831	75	12994	71	13683	46	30975	50	23228	50	40066	41	24059	36	48275	35	208265	27	100199	35	212798	39	58071	52	135414	37	8086	63	1844	53	17787	63	24305	57	6257	48	40811	42	0	.	300	100	0	.	1199	79	7171	83	2566	45	1854	71	941	100	344	100	12972	86	0	.	0	.	4879	45	2241	100	0	.	17809	74	0	.	20123	70	22661	69	12872	60	46810	52	29312	44	85850	32	51852	40	24713	51	10248	91	16030	61	4516	58	608	100	956	74	12085	77	21771	60	84195	56	50819	34	85464	35	70118	26	35419	36	31247	52	16651	48	0	.	3510749	6
	maple	280587	32	85864	39	93107	39	46057	44	17807	47	32729	40	60465	21	63555	42	65890	30	180052	34	37978	37	97648	54	132172	45	5995	.	25787	76	43900	61	17532	47	5960	64	308	100	25971	31	4437	74	5060	46	2768	43	3029	71	0	.	128371	23	28886	34	10502	33	8004	40	20262	44	19982	44	20160	50	9714	54	4028	63	11026	43	2753	52	9970	43	108394	39	25675	57	4496	62	17165	37	46712	45	114421	38	68497	56	123949	34	42446	37	130308	36	23444	53	5290	40	15356	60	119062	41	76952	61	48105	38	617	71	1215	100	1540	72	2231	56	617	71	11717	64	1254	79	1326	71	0	.	1548	65	951	58	0	.	9802	68	1287	50	1173	60	19865	73	1542	72	5376	46	2237	100	2546	49	4756	53	11732	43	26938	42	17731	67	11226	70	4794	100	1272	71	936	74	8286	83	2200	65	16498	37	62838	43	107488	42	48141	42	186838	64	181173	30	35137	68	32264	58	20986	81	0	.	3426671	7
	ash	111074	27	82258	41	43641	30	30402	37	4499	50	31224	37	51827	33	141693	29	125758	32	127840	42	47919	54	78076	41	123860	39	316	.	50028	57	32045	48	27842	37	93357	79	8017	93	38427	30	8694	49	6695	47	7422	59	13260	49	4781	66	189255	21	24178	40	36950	53	28319	39	5978	65	20966	61	16021	73	8780	65	4125	85	23187	46	4724	87	22026	43	107350	30	80186	68	13799	41	42962	39	39878	31	109297	27	45244	66	84737	60	27722	53	43737	32	31751	37	7148	60	15609	46	79543	34	50059	35	51981	38	19333	64	3636	63	36021	54	2271	63	11885	47	58238	33	21059	55	5497	100	31628	69	10794	46	4085	60	4474	63	8845	45	2447	68	4430	73	13453	46	2107	78	595	100	82331	61	1320	81	0	.	15114	51	18932	57	18284	55	19674	52	628	71	595	100	18670	63	15552	65	7896	39	22753	30	50784	70	68593	38	35844	33	147192	32	161147	26	51161	43	16134	40	27539	68	0	.	3527407	6
	oak	341	100	1256	50	1606	60	1619	66	0	.	331	100	652	71	1576	53	2141	42	1244	61	12041	95	1578	82	7502	91	0	.	0	.	0	.	0	.	2865	62	4024	85	0	.	656	100	1825	71	0	.	2233	52	0	.	15609	50	936	58	925	74	0	.	2247	48	0	.	316	100	0	.	0	.	0	.	0	.	334	100	1182	71	1364	78	0	.	331	100	320	100	3292	67	613	71	1628	60	0	.	0	.	640	100	0	.	0	.	0	.	1919	62	7434	59	0	.	613	71	344	100	1239	71	5497	63	11674	86	344	100	0	.	931	75	0	.	320	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	893	74	0	.	16181	87	316	100	2327	89	7922	57	0	.	0	.	617	100	8171	58	8428	43	2919	53	308	100	0	.	3734	79	1256	71	4042	57	5988	57	341	100	649	71	0	.	167631	16
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3002	66	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	.	300	100	2285	63	687	100	6085	60	16309	54	23741	37	6421	67	6528	85	17874	39	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	308	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	83540	19
	other broadleaves	26577	42	15405	34	12981	51	3448	55	2941	54	9435	45	65561	18	26434	23	15145	31	8582	25	13196	54	8664	34	28042	59	0	.	1976	47	9112	48	13152	46	1655	66	0	0	19875	36	21865	35	9110	33	15747	30	29115	35	25364	40	27111	32	3058	52	3664	46	25690	34	8753	51	6796	48	3202	82	2947	56	4877	50	4689	74	2133	44	4517	43	2525	59	6085	39	7677	34	6627	48	3942	37	6691	34	5605	35	17722	43	4364	57	5397	46	12978	33	10952	34	4337	58	4086	32	5113	94	5760	54	22484	44	15984	35	17901	40	4075	61	8033	47	20422	29	9554	36	4949	47	3218	38	4845	41	2544	50	9923	66	2738	71	1855	53	3919	43	0	.	6141	91	2688	47	0	0	2511	57	11600	35	4984	57	2262	43	5576	66	936	74	0	0	0	.	925	100	26365	24	31212	27	18890	22	5496	42	1280	71	8986	44	3681	56	3790	53	105050	68	6452	44	2130	51	0	.	974076	9
	species not assessed in all inventories	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	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	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	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	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	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	0	0	0	0	0	0	0	0	.	0	0
	total	557398	24	264906	26	233322	28	162281	24	34567	39	114247	29	290208	15	413522	17	528920	14	565324	20	258307	33	242968	33	474098	31	6311	.	135031	49	111290	44	85407	33	134451	61	12349	66	106492	25	77049	25	39406	21	36800	23	87684	20	64511	20	597324	15	99499	29	85729	29	85088	23	75725	30	66731	38	87653	45	35108	32	43430	23	86779	47	30224	40	59683	27	262441	30	144552	45	76067	32	104267	27	143625	27	447278	23	236536	28	448599	33	135440	38	319220	33	87072	27	40419	26	60985	43	237114	30	148148	44	159467	29	46983	45	26163	28	64067	40	18000	38	49513	30	128359	27	41741	32	19584	49	56828	49	32070	41	9492	43	15655	63	33245	33	9393	38	10701	51	52798	43	10356	70	31413	50	125869	46	25334	40	81442	34	80899	30	152967	26	120365	33	69129	39	26505	60	18575	58	28902	46	89558	22	87535	17	91936	21	143931	48	262478	37	181771	26	444945	37	431793	23	239553	35	111679	39	88616	36	0	.	13001196	4
height 40-129 cm	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	.	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	278	60	3536	37	2144	50	2827	41	1384	56	3897	84	49043	22	21000	22	33390	18	4818	27	298	80	1248	47	0	.	0	.	1061	54	4804	28	5057	32	6701	42	137	100	5507	35	19324	22	9380	29	21373	25	28879	17	11198	21	3651	28	2122	31	5209	26	11725	26	277	61	1344	50	405	70	767	40	1777	30	1193	65	5161	32	4663	36	1515	47	962	37	8826	33	2852	33	3702	28	1517	50	2027	36	1624	43	1913	78	472	65	3773	34	9574	51	2169	52	1695	38	2660	59	4231	54	4011	41	6930	37	5196	37	67	100	0	.	0	.	401	58	78	100	651	49	2532	34	2164	57	3983	47	5136	40	833	35	2848	34	1423	56	1259	100	672	60	611	56	1771	67	13612	55	281	79	1674	41	2969	50	315	100	1973	48	401	84	1900	73	20170	27	20241	27	17209	24	1038	57	200	73	2475	50	2342	63	1488	78	2511	59	5408	72	2820	76	0	.	464682	5
	fir	66	100	0	0	132	71	2507	53	136	71	222	58	0	0	7335	22	13944	26	1453	47	423	47	203	74	1974	52	0	.	2654	70	189	75	1992	36	1800	42	69	100	0	.	425	71	285	62	497	77	510	53	0	.	20178	21	1170	58	5513	34	6211	34	0	.	1800	47	2247	61	140	100	1938	44	0	0	577	78	434	72	571	56	138	71	205	58	1226	53	63	100	70	100	1030	39	834	77	352	67	2697	43	1714	34	1465	47	3475	35	353	52	2681	80	63	100	0	.	2201	72	67	100	200	100	0	.	0	.	1076	49	201	58	1188	59	479	65	71	100	359	60	347	53	71	100	819	52	1069	56	76	100	452	71	1900	56	2915	50	923	38	1691	51	4217	45	429	58	2686	65	1279	44	75	100	1630	65	1872	54	1474	49	5755	47	2655	53	882	92	1863	58	0	0	729	73	71	100	76	100	692	66	0	.	136453	7
	pine	0	.	0	.	0	.	137	100	0	.	0	.	148	71	0	.	592	80	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	71	100	0	.	0	.	578	89	781	67	73	100	1570	64	6382	29	0	.	0	.	0	.	515	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	455	100	0	.	0	.	73	100	0	.	151	100	0	.	0	.	0	.	0	.	810	79	277	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2699	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	303	100	0	0	0	.	0	.	0	.	0	.	0	.	0	.	1563	47	3883	49	1000	48	0	.	0	.	63	100	0	.	76	100	0	.	0	.	0	.	0	.	22199	19
	larch	0	.	340	71	0	.	0	.	0	.	0	.	361	60	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	425	53	1351	80	290	79	2018	48	6120	45	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1366	85	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	406	100	137	71	2693	59	202	75	134	71	0	.	416	47	0	0	279	61	0	.	0	.	0	.	0	.	0	.	75	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4454	25	1755	37	703	53	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	23524	17
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	213	100	5033	27	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	70	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	135	71	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	.	1890	36	692	51	144	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8177	19
	other conifers	152	100	0	.	0	.	0	.	0	0	0	.	0	0	75	100	346	82	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	0	0	0	0	.	69	100	71	100	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	0	0	0	0	0	.	0	0	0	.	0	0	0	0	0	0	0	.	0	.	0	.	0	.	0	0	0	0	69	100	0	0	0	.	0	.	70	100	0	0	0	.	0	.	71	100	76	100	0	.	0	.	0	.	0	0	0	0	0	0	0	.	0	.	142	100	71	100	0	.	0	.	0	.	0	.	0	.	1211	33
	beech	52408	28	17871	43	21566	35	9106	30	864	52	1420	45	17421	43	35219	32	42844	27	25648	26	10433	45	36619	81	31705	71	70	.	9616	82	6520	94	4806	50	4894	57	0	.	9303	50	4739	45	1199	41	778	83	470	65	0	.	48961	23	12284	45	3957	52	2359	50	15284	57	8972	53	12657	76	6637	45	12464	34	4895	73	850	46	5129	36	5441	51	747	56	7644	43	14547	57	7933	37	93019	29	15475	34	31503	32	6126	44	13689	49	1269	44	2107	59	5517	81	3714	49	3682	64	13201	28	0	.	278	61	0	.	806	42	2339	68	878	39	3709	39	943	47	143	71	511	100	142	100	66	100	1513	56	209	75	557	50	1107	53	452	65	5617	32	12565	65	3910	45	32216	33	17160	38	21124	28	8812	36	7514	42	1640	40	11097	63	5136	80	271	100	1072	72	1464	33	1107	69	18577	48	24410	45	9533	45	20370	48	21775	45	5445	48	8614	57	0	.	958665	7
	maple	55481	30	18208	37	41553	45	18928	57	1551	64	1584	38	14461	48	9147	33	20941	30	11132	33	16928	43	8870	42	4910	39	1264	.	1393	54	3560	73	420	59	1031	45	274	100	4059	35	508	62	1206	57	1481	55	208	75	73	100	22575	25	8520	65	1003	62	792	43	4426	45	3161	45	1954	64	1752	46	437	53	2833	64	423	46	2627	36	26181	39	1260	43	1152	55	6005	67	7419	65	14604	45	8239	39	14826	49	2999	53	6813	41	1677	42	937	65	1395	65	34117	52	18692	58	9109	36	270	79	206	75	70	100	403	62	155	71	2442	38	986	62	153	100	277	71	875	79	1410	82	215	74	1803	44	1109	54	665	55	1050	55	3356	94	1775	41	755	57	899	54	2017	40	3025	38	5186	44	2533	44	1111	77	1419	63	0	.	1237	68	4476	97	1612	37	3558	41	3459	56	30826	37	15507	37	11071	53	4087	43	3600	51	796	49	6711	49	0	.	566204	8
	ash	16754	40	11334	57	24750	49	5057	46	1706	72	3917	41	6777	27	45981	51	28810	26	6977	32	9826	69	7298	40	13933	35	0	.	4888	53	3760	51	5614	70	5377	42	1784	79	11745	36	6645	58	2202	88	1773	89	2683	54	335	60	33145	30	6256	65	14140	57	4964	36	2782	47	4808	48	632	71	2844	70	2760	72	3155	43	485	86	2882	44	36991	31	3028	62	2941	54	2524	40	6387	35	15651	39	2135	43	11303	75	3818	60	4996	59	1921	45	777	47	3785	67	20203	36	9431	42	8942	36	1952	71	2211	84	3155	71	552	46	3097	78	10174	48	7343	55	605	78	5119	82	429	74	2689	85	917	73	3461	87	3478	64	2552	86	5189	46	489	56	795	72	10245	47	662	73	0	.	2700	47	913	72	2877	67	2163	88	1166	84	70	100	6883	80	5411	46	2275	44	1753	47	6549	52	22599	44	13900	55	28440	52	7763	41	4259	43	8409	54	3281	59	0	.	630134	7
	oak	142	71	137	100	412	100	126	100	0	0	0	.	0	.	238	58	342	45	0	.	0	.	66	100	303	70	0	.	69	100	0	.	0	.	71	100	0	.	0	.	68	100	274	61	0	.	71	100	0	.	740	67	206	74	69	100	0	.	227	100	0	.	70	100	0	.	0	.	0	.	74	100	0	.	0	.	148	100	0	.	0	.	0	.	608	70	132	100	216	74	818	72	76	100	0	.	0	.	0	.	126	100	71	100	498	100	0	.	209	58	0	.	267	71	0	.	135	100	628	74	140	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	76	100	63	100	66	100	63	100	211	57	0	.	666	90	0	.	63	100	0	.	0	.	0	.	139	71	1509	44	1989	38	426	58	0	.	0	.	417	70	200	75	0	.	69	100	137	100	0	.	0	.	13870	13
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	63	100	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	306	79	136	71	430	47	3503	77	1399	32	209	74	306	100	1531	87	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	70	100	152	100	0	.	0	.	0	.	0	.	0	.	0	.	142	100	0	.	0	.	0	.	69	100	0	.	0	.	0	.	0	.	0	.	8315	37
	other broadleaves	11940	31	5532	48	6751	41	964	39	1638	60	4842	53	23800	18	14617	27	7915	40	3262	27	2422	49	1436	46	4990	35	70	.	1701	37	1344	32	3231	35	1599	37	412	85	8929	34	4902	50	5430	26	9803	25	7189	22	8017	34	9899	34	1124	38	2508	51	7749	25	2665	34	4180	35	4267	78	2335	47	3518	46	571	50	3537	38	4955	57	1632	48	3823	38	3043	41	2054	39	3152	45	4787	60	2914	35	3749	41	2439	39	831	42	5127	38	8228	41	3447	40	2703	36	8182	46	5801	35	8791	59	4417	32	10182	42	2159	46	3767	40	8772	33	6602	34	1088	42	2906	46	574	58	2218	53	3706	53	2678	54	2016	38	4659	48	987	43	715	58	1863	51	1465	39	1546	48	4355	40	1919	35	2455	31	2077	42	132	71	1314	66	140	100	2297	79	19020	25	13407	20	11684	23	2856	44	1580	65	3954	41	1681	48	1492	34	32171	80	2340	41	2176	41	0	.	430120	7
	species not assessed in all inventories	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	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	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	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	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	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	0	0	0	0	0	0	0	0	0	0	.	0	0
	total	137221	22	56958	28	97306	33	39652	32	7279	46	15882	40	112010	16	133614	23	149123	14	53291	21	40330	38	55739	57	57816	45	1404	.	21381	44	20176	52	21121	27	21607	27	2676	63	39544	26	37615	21	22110	20	36069	20	43812	14	37157	15	139150	16	31751	41	32468	30	34315	17	25661	37	24265	30	22232	51	14475	34	22894	25	12646	40	11108	26	20690	27	72331	30	10177	34	25175	26	29209	38	28655	26	130255	26	31952	23	64510	29	18466	38	29574	31	15554	24	23088	29	19938	38	62911	35	45401	34	41845	22	15430	39	17706	24	21911	30	5086	29	12994	36	23800	27	21371	26	3513	30	12095	42	5401	36	8695	47	9245	36	17636	31	7716	34	12176	35	10969	34	6409	58	11239	27	27605	39	11983	33	53426	28	27444	31	35638	23	19983	28	13996	38	8792	36	11784	62	19221	40	60635	16	48399	16	43838	16	17664	39	74665	30	62730	31	53406	38	36005	32	64457	45	22611	42	24295	38	0	.	3263554	3
DBH 0-3.9 cm	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	.	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	698	57	1599	42	1142	49	817	76	679	62	1042	43	16980	15	8336	20	13833	21	3410	37	66	100	1016	63	538	76	0	.	70	100	2620	31	1615	35	1941	37	206	74	2428	36	10583	24	3723	31	11266	22	18913	17	4990	26	1906	36	3179	52	3546	32	6510	24	939	81	1371	55	0	0	216	58	1690	56	350	60	2277	32	3128	33	3118	36	802	56	4167	36	1311	46	1383	44	1641	48	278	50	629	70	202	58	732	65	906	38	2423	35	1213	56	1846	34	489	52	988	58	3049	42	2688	34	1023	39	0	.	0	.	0	.	500	53	136	71	811	57	1071	42	1253	48	1396	38	2458	41	1222	48	2091	27	1140	56	252	100	884	40	638	71	212	58	1867	43	567	53	491	51	1176	51	315	100	343	60	0	.	953	44	7491	21	6633	28	7372	22	608	58	263	77	1341	61	1311	46	691	56	778	55	139	71	326	72	0	.	209239	4
	fir	136	71	142	71	0	.	2627	52	147	71	82	100	564	44	6537	20	9129	30	2520	31	70	100	335	82	748	71	0	.	1443	57	126	100	2981	63	1357	54	0	.	71	100	499	100	0	0	142	100	138	71	68	100	9750	19	754	45	4520	29	4535	36	0	0	1277	50	550	59	0	.	1224	40	224	75	263	50	277	63	553	48	0	.	208	58	969	85	443	47	70	100	1074	44	227	100	0	.	2781	36	1672	50	658	58	1431	40	213	58	2390	86	0	.	0	.	1479	90	67	100	0	.	0	.	0	.	749	44	934	100	981	75	537	50	0	.	359	60	68	100	0	.	659	43	999	46	0	0	146	71	147	71	1646	51	491	47	216	74	723	45	352	60	683	61	1314	58	221	58	284	79	827	61	355	60	3496	39	2367	48	0	.	759	74	0	.	0	0	0	.	252	100	0	.	0	.	87040	7
	pine	0	.	0	.	0	.	274	100	0	.	0	.	146	71	0	.	567	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	271	71	505	75	1021	100	926	78	5600	31	70	100	0	.	0	.	63	100	0	.	0	.	0	.	0	.	0	.	0	.	74	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	63	100	0	0	0	.	0	.	0	0	758	73	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	126	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3381	52	2057	71	496	47	0	.	0	.	0	.	0	.	227	100	0	.	0	.	0	.	0	.	16624	20
	larch	0	.	142	100	0	.	0	.	0	0	0	.	0	.	0	.	63	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	292	100	716	53	68	100	2046	38	3116	43	0	.	126	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	223	100	0	.	0	.	142	100	0	.	0	.	0	.	70	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	69	100	472	74	203	57	473	71	203	100	68	100	0	.	207	75	137	71	140	100	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	70	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5966	27	2203	46	706	48	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17920	14
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3645	39	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	.	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	.	697	35	548	66	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4891	31
	other conifers	0	.	0	.	0	.	63	100	0	0	0	0	0	0	0	.	755	100	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	0	0	0	0	0	70	100	142	100	74	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	76	100	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	0	.	0	.	0	0	0	.	0	0	0	0	69	100	0	.	0	.	0	.	0	0	0	0	0	.	0	.	0	.	76	100	0	.	0	.	0	.	0	0	0	0	0	0	0	.	0	.	504	100	0	.	0	.	0	.	0	.	0	.	0	.	1828	51
	beech	7124	28	4991	42	5127	33	4368	34	210	76	959	51	7856	45	13254	23	20128	25	7053	27	3502	44	5836	57	3885	44	0	.	144	71	82	100	6787	43	1842	35	0	.	4690	41	1968	52	701	45	925	80	745	65	0	.	19422	25	2012	35	2150	49	2160	47	6471	40	5204	51	1688	62	5310	54	3119	35	439	47	530	51	2534	55	1016	45	997	56	3813	36	6640	43	2269	31	10622	30	7080	39	14386	44	4113	44	2310	40	3169	66	1584	45	949	46	1332	40	909	40	9037	31	0	.	200	74	0	.	1997	52	1522	53	839	47	8989	46	1106	52	892	65	352	53	0	.	71	100	766	47	423	63	1553	74	422	47	395	71	2227	35	4118	72	3257	35	17004	45	10015	36	9526	33	5256	74	4846	70	477	75	2756	83	1383	56	0	.	1222	71	2026	35	975	38	5397	61	9501	66	487	43	7088	60	6056	64	197	58	6336	53	0	.	343120	6
	maple	15451	34	7826	43	9454	37	14082	47	376	83	207	58	6594	44	4683	62	3958	30	1501	44	7784	59	3767	62	1431	53	0	.	282	80	892	74	2080	49	697	40	0	.	1689	46	431	63	1004	69	495	75	76	100	135	71	5147	26	2200	63	435	47	1386	42	3012	47	734	45	558	89	1055	69	75	100	223	74	148	100	994	50	5394	43	742	90	359	60	1154	44	2357	63	4216	76	2306	54	3595	63	2390	61	6722	57	618	58	262	77	531	65	3290	38	1751	52	6442	64	67	100	133	100	70	100	551	69	76	100	890	44	1382	52	0	.	70	100	213	75	841	75	146	100	762	53	687	71	1822	42	1547	67	274	100	277	80	69	100	212	58	928	58	1776	48	2692	44	3403	53	69	100	69	100	211	100	419	63	2785	93	982	46	1350	40	812	61	6542	45	4177	40	260	78	1756	49	2701	68	343	100	3047	58	0	.	187407	8
	ash	9378	53	2724	35	7928	39	3349	72	2035	100	1185	71	1414	45	10429	43	11677	34	1579	43	2397	67	4967	50	1407	55	0	.	367	68	1100	94	1609	49	2195	44	823	85	6604	52	1146	55	2065	83	285	100	286	62	0	.	6921	31	1726	59	4102	59	2623	42	719	65	226	74	764	84	829	61	287	50	1420	68	157	71	224	73	5910	37	1052	73	1453	86	1327	71	1026	68	4891	63	968	68	828	78	1966	74	1641	64	1034	64	74	100	701	90	3564	35	2170	51	3912	64	343	72	798	77	1186	100	210	75	1402	70	3768	47	5820	80	0	.	977	71	213	100	1060	62	68	100	198	100	1419	64	2153	73	6438	52	608	57	0	.	5576	57	226	100	0	.	3062	57	211	100	1534	57	1196	100	274	79	70	100	2171	73	1868	50	561	53	631	60	1223	62	3791	46	6990	61	2930	48	7420	61	1090	82	963	68	526	53	0	.	198438	8
	oak	0	.	0	.	0	.	692	91	0	.	0	.	0	.	82	100	263	60	70	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	448	86	0	.	0	.	0	.	71	100	0	.	0	.	0	.	203	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	70	100	132	100	70	100	252	71	0	.	0	.	0	.	0	.	132	71	0	.	0	.	0	.	70	100	0	.	76	100	0	.	76	100	635	70	0	0	68	100	0	.	0	.	0	.	0	.	0	0	0	.	0	.	126	100	0	.	0	.	211	74	0	.	66	100	0	.	63	100	63	100	0	.	0	.	0	.	555	55	568	40	780	48	69	100	0	.	71	100	0	.	692	100	200	75	0	.	63	100	0	.	6937	19
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	290	50	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	.	0	.	366	54	352	53	286	60	67	100	1752	45	702	49	0	.	1261	45	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	71	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5148	21
	other broadleaves	2905	41	958	42	1477	31	391	52	377	100	2604	72	14713	27	9584	31	2890	27	1641	29	886	65	1183	40	888	45	0	.	147	71	438	54	2340	35	1031	35	556	50	3540	42	1885	38	2580	36	7495	31	5544	28	3965	44	5437	32	1140	50	888	40	4945	28	1696	39	1260	40	476	62	2345	63	1104	48	793	40	1205	50	3423	49	1215	57	2356	90	1264	47	1042	59	643	43	1192	69	2730	48	1107	52	2187	48	837	52	1403	37	1324	38	1350	51	1342	45	3296	47	904	43	5077	48	2992	44	3242	69	2085	41	1747	48	5571	28	4428	31	1334	36	4344	68	861	50	1033	56	1618	56	3617	62	1180	33	3771	32	1003	54	516	76	1471	48	350	66	1113	41	2775	30	1330	40	1140	41	1127	40	459	61	1521	65	70	100	701	65	10853	27	9307	23	6910	22	1821	75	414	85	1660	53	206	100	268	63	2937	54	1763	46	1072	62	0	.	212613	5
	species not assessed in all inventories	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	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	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	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	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	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	0	0	0	0	0	0	0	0	0	.	0	0
	total	35693	31	18383	28	25128	25	26665	30	3823	74	6080	42	48268	16	52905	16	63263	14	17773	18	14706	38	17105	35	8897	34	0	.	2454	38	5257	32	17413	27	9511	20	1585	50	19022	32	17075	18	11365	24	21696	20	28965	14	21519	18	48927	16	11280	30	15715	23	22222	18	12837	29	10072	33	4035	46	9756	37	7499	25	3449	36	4656	24	10804	27	17282	27	5949	42	11406	29	12444	33	8121	26	22703	31	14639	27	20844	35	11109	32	15024	34	8802	31	6324	23	6175	34	11781	26	11006	32	21351	32	9008	32	8929	27	7170	52	5407	30	4881	34	12897	26	23413	29	3648	36	9541	37	3247	29	4186	39	3658	34	7869	34	4932	29	12050	28	11617	39	2297	48	5004	27	10897	45	6948	32	23066	37	17033	31	14782	28	12912	39	7706	53	3998	43	3328	79	5911	36	34423	16	24434	16	23838	14	7876	37	16407	35	25001	39	5194	35	18144	39	13762	38	3656	45	11369	44	0	.	1291206	3
DBH 4-7.9 cm	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	.	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	421	71	1700	34	1255	57	764	40	650	67	816	55	5738	17	4566	22	6360	21	815	51	815	51	705	65	132	100	0	.	139	71	1463	39	2049	31	1246	51	0	.	2013	49	4217	26	1040	37	4459	24	6799	20	3387	37	1989	42	1466	50	1178	42	1970	25	211	100	221	58	208	73	75	100	286	61	82	100	1388	33	2064	44	1723	39	594	77	1825	31	617	58	744	43	468	62	545	58	573	60	909	55	269	50	1065	42	2397	34	630	60	2012	37	1344	49	471	43	736	54	883	40	276	50	0	.	0	.	0	.	411	47	155	71	350	53	286	62	763	45	553	49	556	59	352	53	535	44	479	47	0	.	512	47	349	54	211	74	874	39	421	71	372	53	481	65	126	100	63	100	66	100	629	90	4157	23	2361	22	3437	27	874	55	783	65	416	57	676	45	412	85	892	61	622	58	1478	44	0	.	105417	5
	fir	354	60	0	0	274	100	626	59	74	100	147	71	619	40	3468	20	3046	26	2253	27	70	100	70	100	132	100	0	.	63	100	220	58	897	58	71	100	0	.	137	71	346	72	0	0	142	100	138	71	0	.	3072	23	842	35	1604	30	1882	30	221	58	502	61	66	100	66	100	414	52	136	71	0	.	262	50	142	71	75	100	274	50	312	62	147	100	66	100	729	43	216	74	76	100	831	46	1313	46	262	77	409	53	278	50	870	57	69	100	0	.	435	53	67	100	0	.	0	.	0	.	200	57	935	93	136	71	544	50	66	100	73	100	279	62	66	100	329	60	145	71	69	100	435	54	137	100	555	63	70	100	288	50	428	47	71	100	63	100	194	74	151	70	0	.	561	43	280	61	1459	33	811	56	69	100	69	100	0	0	0	.	0	.	63	100	0	.	0	.	37333	7
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	411	70	0	.	73	100	719	60	1605	38	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	74	100	0	.	0	.	0	.	0	.	70	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	194	74	63	100	69	100	0	.	70	100	277	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	215	74	0	.	0	.	0	.	0	.	63	100	0	.	0	.	0	.	0	.	70	100	0	.	0	.	0	.	0	.	0	.	0	.	2240	46	566	43	286	62	0	.	0	.	0	.	0	.	0	.	69	100	0	.	0	.	0	.	7134	19
	larch	0	.	69	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	438	58	0	.	68	100	494	47	1007	41	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	74	100	0	.	0	.	142	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	315	100	0	.	67	100	0	0	544	59	134	71	0	.	0	.	765	49	275	71	0	.	0	.	0	.	0	.	217	75	0	.	0	.	0	.	0	.	0	.	63	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2716	24	1168	52	139	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8693	14
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	977	33	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	.	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	.	545	58	135	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1657	28
	other conifers	0	.	63	100	0	.	200	75	0	.	0	.	0	.	0	.	0	.	0	.	199	100	71	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	.	0	0	0	.	69	100	137	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	0	74	100	0	.	0	.	0	.	0	.	70	100	0	.	0	.	0	.	0	.	0	.	0	.	441	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	73	100	0	.	0	0	0	.	0	.	0	.	0	.	0	.	216	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	0	221	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1834	33
	beech	943	41	777	45	699	37	898	45	63	100	451	52	1470	30	2201	23	3338	20	1973	31	288	50	397	62	538	46	0	.	63	100	276	81	861	42	208	74	0	.	823	61	1884	46	769	41	71	100	612	61	0	.	1766	36	789	66	380	54	669	43	136	71	343	73	70	100	632	58	569	39	221	74	438	72	965	38	536	63	363	60	1145	43	941	61	500	38	963	34	508	43	835	57	970	49	491	47	500	48	251	100	0	0	454	51	206	74	1279	48	0	.	0	0	0	.	1043	66	601	46	276	80	2256	40	303	62	520	59	351	60	71	100	142	71	139	71	137	71	639	89	208	74	69	100	292	71	0	.	76	100	853	43	578	39	776	37	488	62	69	100	69	100	0	.	140	71	0	.	654	90	607	57	82	100	285	62	348	45	0	.	794	56	71	100	498	62	277	50	0	.	50232	6
	maple	199	74	140	71	413	48	523	63	74	100	74	100	905	34	275	60	482	56	292	62	0	.	66	100	199	74	0	.	0	.	402	71	326	45	350	81	0	.	276	61	0	.	0	.	0	.	0	.	0	.	897	42	137	100	69	100	137	71	136	71	75	100	70	100	70	100	70	100	0	.	0	.	63	100	74	100	74	100	334	53	0	.	146	71	66	100	275	50	196	74	426	57	70	100	139	71	200	73	75	100	675	53	0	.	274	79	0	.	216	74	0	.	136	71	0	.	70	100	275	61	0	.	0	.	68	100	71	100	73	100	137	71	217	58	222	74	206	74	0	.	0	.	0	.	140	100	0	.	211	74	136	71	274	100	0	.	0	.	0	.	71	100	212	58	208	74	783	61	0	.	284	62	194	58	0	.	63	100	263	60	0	.	348	72	0	.	14626	9
	ash	739	37	137	71	901	72	0	.	70	100	238	76	142	100	151	71	526	47	146	71	351	100	468	86	0	.	0	.	142	100	137	100	156	71	418	53	0	.	68	100	139	71	0	.	0	.	0	.	0	.	676	80	71	100	137	71	156	71	66	100	0	.	0	.	0	.	0	.	221	100	74	100	246	100	406	86	0	.	142	70	147	71	0	.	70	100	137	100	0	.	345	82	331	100	0	0	0	.	0	.	603	48	206	74	200	58	0	.	0	.	0	.	68	100	209	74	0	.	449	53	223	75	227	76	0	.	71	100	0	.	0	.	342	66	196	73	296	80	76	100	0	.	0	.	226	100	0	.	70	100	0	.	284	100	0	0	137	100	0	.	0	.	344	82	71	100	344	53	361	66	69	100	345	67	69	100	274	61	0	.	137	100	0	.	0	.	14053	12
	oak	0	.	0	.	0	.	629	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	277	80	0	.	0	.	0	.	76	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	69	100	0	.	0	.	0	.	0	.	0	.	0	.	69	100	0	0	0	.	0	.	70	100	0	.	276	80	70	100	153	70	0	.	0	.	0	.	0	.	0	.	71	100	0	.	68	100	0	.	0	.	0	.	0	.	189	74	351	100	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	833	58	698	50	724	82	0	.	0	.	0	.	0	.	0	.	137	71	0	.	0	.	0	.	4759	25
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	70	100	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	.	0	.	212	73	70	100	289	62	144	71	780	47	140	100	76	100	286	50	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	213	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2279	24
	other broadleaves	356	54	200	58	132	71	132	71	0	0	379	59	2868	29	1164	52	957	30	1276	27	132	100	274	50	70	100	0	.	277	81	304	63	388	41	628	80	206	74	1181	41	562	53	763	47	2716	42	1690	34	545	43	1094	46	351	54	69	100	894	41	345	52	216	58	70	100	0	0	151	70	148	100	150	71	708	43	445	57	0	.	495	43	221	100	136	71	132	71	203	58	70	100	424	48	349	53	616	48	348	67	315	71	284	100	277	61	69	100	1289	40	1003	41	276	50	1511	33	799	48	923	42	1971	33	574	39	994	33	351	52	0	.	786	49	281	50	202	75	1073	39	290	81	63	100	208	73	227	100	550	50	297	50	66	100	0	0	357	60	392	47	0	0	0	.	142	100	2600	29	2995	34	2467	21	0	.	0	0	200	58	69	100	140	71	0	.	137	100	69	100	0	.	49079	6
	species not assessed in all inventories	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	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	.	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	.	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	0	.	0	0	0	.	0	0	0	.	0	0	0	.	0	0
	total	3012	24	3085	26	3674	30	3773	27	931	53	2106	33	11741	13	11826	14	14708	14	6754	17	1855	36	2052	38	1072	33	0	.	684	58	2803	28	4676	23	2921	34	206	74	4497	30	7996	20	2572	27	7528	21	10521	16	7521	20	9770	17	3725	31	3574	24	5709	18	1191	34	1357	38	485	50	844	46	1490	28	810	54	2123	31	4382	28	3327	29	1107	47	4357	23	2383	36	1675	30	1766	30	2466	34	1890	33	3219	37	2341	30	3633	28	3458	28	1430	38	4570	28	3280	35	2871	34	2092	34	2889	25	1510	31	3457	29	1824	31	2201	27	6467	22	2540	39	2512	23	1672	34	1042	37	1913	31	1609	30	1384	38	2993	31	1624	39	339	53	1662	34	965	43	2108	40	2095	33	1704	30	1711	30	2169	32	649	39	463	47	217	58	982	63	14208	15	9136	18	10246	17	2350	34	1489	42	1572	30	814	42	1683	38	1432	42	1457	37	2171	34	0	.	297097	3
DBH 8-11.9 cm	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	.	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	277	80	1414	43	1234	61	627	46	125	100	297	100	4246	16	1700	28	2126	25	763	37	265	71	66	100	0	0	0	.	201	58	1117	39	984	44	882	39	69	100	357	53	2341	29	835	35	2810	26	2011	21	1371	37	1516	31	704	40	768	39	862	40	221	75	227	100	66	100	66	100	70	100	579	64	551	45	591	56	271	62	536	39	921	49	137	71	333	53	1212	45	880	37	742	82	134	71	269	61	640	49	950	42	233	74	866	42	526	57	1390	49	200	74	404	57	140	100	0	.	0	.	0	.	204	58	70	100	419	85	286	61	139	71	281	62	416	47	215	74	325	52	71	100	412	74	432	52	265	60	70	100	572	39	281	50	372	83	419	70	340	71	206	100	0	.	0	.	1258	26	1867	25	1606	24	600	54	274	79	357	72	390	57	543	59	274	61	289	71	963	45	0	.	57340	5
	fir	203	58	71	100	137	71	137	100	210	76	147	100	208	58	2079	24	1614	24	871	35	0	.	0	.	136	71	0	.	63	100	0	.	125	100	69	100	0	.	0	.	281	62	0	.	68	100	0	.	0	.	1432	25	222	75	747	35	594	38	0	.	347	83	0	0	0	.	278	60	0	0	0	.	0	0	0	.	63	100	132	71	156	71	0	0	0	.	555	56	76	100	203	58	140	100	204	74	296	61	188	74	216	58	69	100	206	100	0	.	67	100	0	.	0	.	0	.	0	.	67	100	136	71	0	.	269	61	0	.	144	71	0	.	0	.	63	100	144	71	206	100	227	75	71	100	70	100	70	100	70	100	0	.	69	100	201	76	194	74	142	71	137	100	137	71	142	71	556	43	400	68	0	.	0	.	71	100	0	.	0	.	0	.	0	.	0	.	16197	8
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	68	100	71	100	73	100	356	60	1240	48	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	74	100	0	.	0	.	0	.	0	.	0	.	0	.	140	100	0	.	0	0	63	100	0	.	0	.	0	.	0	.	0	.	0	.	69	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	73	100	0	.	73	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	140	100	0	.	0	.	0	.	0	.	0	.	0	.	1636	33	217	58	571	44	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4863	19
	larch	0	.	69	100	0	.	0	.	0	.	0	.	0	.	0	.	126	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	69	100	0	.	0	.	71	100	68	100	135	100	353	53	553	46	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	74	100	0	.	0	.	71	100	0	.	0	.	70	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	63	100	0	.	137	100	0	.	0	.	0	.	68	100	0	.	0	.	209	74	0	.	140	71	0	.	0	.	0	.	142	100	0	.	0	.	0	.	63	100	0	.	126	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1206	30	210	58	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4021	16
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	494	38	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	70	100	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	491	47	134	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1189	27
	other conifers	0	.	63	100	69	100	63	100	0	.	0	.	0	.	0	.	218	58	0	.	132	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	0	0	0	0	.	69	100	63	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	71	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	70	100	0	.	0	.	0	.	0	.	0	.	0	.	252	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	82	100	69	100	0	.	63	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	71	100	0	.	0	.	0	.	0	.	1355	28
	beech	339	52	284	50	559	56	347	53	136	71	0	.	828	36	1639	24	1580	25	1683	26	146	71	66	100	66	100	0	.	139	71	216	74	496	64	350	66	0	.	217	75	492	52	902	43	0	.	435	60	0	.	964	33	581	43	213	74	0	.	0	.	347	83	75	100	211	100	0	.	223	74	138	71	289	50	141	100	150	71	544	43	148	71	221	74	616	36	136	71	490	47	341	59	211	58	156	71	63	100	74	100	63	100	211	58	278	60	0	.	0	.	0	.	615	90	282	50	486	51	818	39	363	52	298	62	198	100	0	.	66	100	71	100	0	.	203	58	137	71	137	71	75	100	0	.	140	71	216	58	70	100	278	60	69	100	63	100	211	75	0	.	0	.	0	.	214	75	336	82	476	72	69	100	71	100	63	100	137	71	269	62	142	71	69	100	0	.	24447	7
	maple	0	.	140	71	71	100	69	100	297	100	0	.	769	46	75	100	140	71	278	50	0	.	203	58	66	100	0	.	0	.	290	61	263	60	137	100	69	100	146	100	0	.	0	.	142	100	68	100	73	100	282	61	142	71	137	100	0	.	70	100	0	.	0	.	75	100	0	.	141	100	74	100	148	70	0	.	0	.	141	71	63	100	0	0	0	.	0	.	140	100	126	100	70	100	0	.	75	100	74	100	337	83	0	.	0	.	133	100	0	.	0	.	70	100	0	.	68	100	0	.	0	.	0	.	0	.	0	.	0	.	200	74	205	58	295	79	69	100	0	.	0	.	0	.	0	.	0	.	70	100	0	.	0	.	0	.	0	.	0	.	71	100	71	100	212	58	272	50	0	.	0	.	137	71	0	.	0	.	132	71	0	.	69	100	0	.	7465	12
	ash	269	50	147	71	126	100	137	100	0	.	156	71	66	100	231	74	69	100	0	.	0	.	0	.	0	.	0	.	0	.	74	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	67	100	0	.	212	58	0	.	137	71	0	.	70	100	0	.	0	.	0	.	0	.	0	.	0	.	164	100	63	100	156	71	66	100	0	.	0	.	0	.	69	100	0	.	0	.	0	.	135	100	70	100	0	.	269	80	140	71	206	74	0	.	0	.	0	.	0	.	229	100	76	100	449	58	76	100	0	.	73	100	206	58	0	.	68	100	0	.	68	100	0	.	0	.	66	100	0	.	75	100	0	.	0	.	0	.	69	100	0	.	71	100	0	.	69	100	141	71	213	74	271	100	0	.	0	.	71	100	69	100	277	61	0	.	0	.	0	.	0	.	5735	14
	oak	132	71	0	.	0	.	137	100	0	.	0	.	0	.	0	.	63	100	0	.	0	.	0	.	0	.	0	.	71	100	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	76	100	0	.	203	74	0	.	0	.	0	.	76	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	71	100	0	.	0	.	0	.	137	100	0	.	0	.	0	.	0	.	137	71	70	100	216	58	0	.	212	73	70	100	0	.	0	.	71	100	0	.	66	100	0	.	0	.	0	.	0	.	0	.	70	100	0	.	140	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	354	60	873	70	69	100	0	.	0	.	0	.	0	.	69	100	0	.	0	.	0	.	3385	23
	sweet chestnut	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	.	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	.	76	100	0	.	134	71	76	100	209	100	140	100	153	100	70	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	71	100	0	.	0	.	0	.	0	.	71	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1001	35
	other broadleaves	71	100	140	71	0	.	200	58	63	100	0	.	1048	31	425	47	76	100	574	50	0	.	70	100	70	100	0	.	71	100	137	100	263	50	343	100	69	100	286	80	357	67	347	53	965	40	856	43	344	60	680	39	69	100	0	0	371	82	0	.	70	100	66	100	0	.	70	100	0	.	188	100	353	61	0	.	0	.	288	71	221	74	125	71	66	100	271	61	0	.	70	100	415	47	413	70	0	.	82	100	0	.	257	78	137	71	615	46	788	45	136	71	964	50	809	46	1245	36	1404	46	290	50	637	33	354	45	0	.	213	75	0	.	276	62	653	47	251	71	132	71	66	100	152	100	0	.	152	70	66	100	0	.	0	.	140	71	69	100	0	.	69	100	701	40	1164	37	1482	29	74	100	0	.	69	100	71	100	140	71	140	71	71	100	71	100	0	.	24455	8
	species not assessed in all inventories	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	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	.	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	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0
	total	1291	28	2328	31	2196	40	1718	29	832	45	600	58	7165	13	6150	14	6011	15	4169	18	543	46	405	58	339	45	0	.	545	35	1834	29	2133	30	1849	39	206	58	1007	42	3610	23	2223	25	4192	21	4222	17	4075	22	5289	16	1787	27	2066	24	1826	34	437	47	992	52	208	58	352	66	418	47	943	46	1026	36	1620	34	546	47	975	30	2164	26	725	35	680	40	2105	30	1912	30	1448	47	1007	30	1105	32	1619	38	1455	33	651	40	1814	34	1340	36	2674	32	949	41	1335	36	276	61	1988	39	1466	42	2300	27	3291	26	1300	29	1633	32	1254	33	345	53	849	37	897	34	762	40	1606	28	755	35	1018	45	866	39	676	50	426	41	1010	30	839	39	650	54	696	46	744	46	751	47	142	71	346	60	5711	16	4726	17	5968	17	1619	35	343	66	705	42	663	39	1168	37	883	32	502	52	1171	38	0	.	151453	3
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	.	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	1675	51	20230	37	11060	36	35300	47	4529	72	16003	76	124185	23	84148	17	173372	19	13103	21	18824	94	4865	42	968	64	0	.	4737	73	16593	34	12558	24	16880	38	412	58	14455	31	52229	19	22032	23	48849	18	84768	16	36206	19	12820	24	10043	30	20581	21	30357	22	1986	53	5428	43	995	57	1756	48	6376	32	2204	44	14347	26	18317	27	9354	42	6710	43	24176	40	13496	38	7769	26	9535	33	12605	45	6572	38	3781	53	2057	47	13098	31	25597	33	8131	38	9216	26	11207	44	11816	41	9816	35	12735	30	11177	32	666	100	0	.	0	.	1830	32	783	53	2230	42	6086	35	5911	51	6831	38	11718	41	4187	36	6080	27	3454	37	2205	83	3862	33	13477	81	2264	59	34179	41	2525	38	7696	35	23102	84	1096	87	9365	61	468	86	5442	57	45960	22	59478	20	42430	19	4191	42	1803	49	19816	36	6489	37	4714	45	10637	48	19900	50	14331	60	0	.	1537241	5
	fir	1670	39	554	65	8054	42	22103	30	3882	72	10673	33	2411	37	80952	18	130857	22	26556	30	1194	68	2745	52	5222	44	0	.	7037	51	2573	58	11451	40	5776	34	69	100	1152	49	1869	52	285	62	1488	68	3093	49	68	100	74692	17	9233	29	32034	26	21585	28	2766	54	8159	38	8547	54	1153	73	11550	41	1407	56	3490	58	2255	44	10554	35	3072	62	1460	50	7207	51	3543	34	820	56	10891	28	6115	36	2843	72	10497	36	8034	35	7613	48	9232	33	7816	35	7671	66	977	54	0	.	4482	69	200	74	500	100	0	.	0	.	2720	40	2206	88	5138	55	1829	48	137	71	1574	53	2557	57	137	71	2767	32	3688	41	350	81	2527	42	9282	61	10378	32	2236	38	4866	47	19248	36	4425	43	8293	54	7038	52	1266	74	3330	69	4357	45	4468	38	14157	38	7566	47	1590	65	20433	55	18816	58	10672	43	688	90	12188	82	12610	51	0	.	815671	6
	pine	298	100	0	.	0	.	412	100	339	100	0	.	622	58	0	.	2084	52	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	71	100	0	.	0	.	1328	59	1685	70	1240	100	3874	50	22356	25	70	100	0	.	0	.	1594	88	0	.	0	.	0	.	0	.	0	.	0	.	223	74	0	.	0	.	0	.	0	0	70	100	0	.	140	100	0	.	455	100	63	100	0	.	401	100	0	.	151	100	257	78	63	100	137	71	0	.	879	73	1313	71	0	.	0	.	0	.	0	.	0	.	0	.	73	100	0	.	288	71	4665	100	0	.	0	.	0	.	472	100	0	.	0	.	0	.	644	100	211	100	0	.	0	.	0	.	0	.	0	.	0	.	9137	35	11123	46	2353	34	0	.	0	.	63	100	0	.	303	100	69	100	0	.	0	.	0	.	69525	15
	larch	0	.	620	48	0	.	0	.	0	0	0	.	361	60	0	.	189	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	69	100	0	.	0	.	1226	53	3739	72	560	56	9033	41	15211	28	0	.	126	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	371	100	0	.	663	100	2672	64	0	.	0	.	70	100	70	100	0	.	0	.	0	.	0	.	0	.	0	.	63	100	315	100	206	100	3375	69	340	44	6742	57	607	81	202	75	0	.	1912	43	412	71	558	68	0	.	0	.	0	.	359	60	0	.	75	100	0	.	63	100	0	.	189	100	70	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19727	27	6561	32	4006	46	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	80759	12
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	859	73	17309	24	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	141	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	135	71	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	.	14650	35	2133	42	781	65	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	36008	19
	other conifers	152	100	126	71	69	100	609	64	0	0	0	0	0	0	75	100	1627	83	0	0	331	100	71	100	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	0	0	0	0	0	0	0	0	0	70	100	349	60	345	60	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	0	147	71	738	100	0	0	74	100	0	.	0	.	0	.	0	.	140	71	0	.	0	.	0	.	282	100	566	71	0	.	692	100	0	0	0	0	0	0	0	.	0	0	0	.	0	0	0	0	0	0	73	100	0	.	0	0	0	.	0	0	0	0	219	73	69	100	216	74	63	100	70	100	0	0	0	.	0	.	2797	97	152	100	0	.	0	.	0	.	0	0	0	0	0	0	553	100	0	.	1924	78	71	100	71	100	0	.	0	.	0	.	0	.	12741	29
	beech	198425	20	91724	37	97141	34	48722	25	5251	62	23332	50	89753	27	122499	23	165856	18	261206	25	143531	42	95955	50	216187	30	70	.	61121	65	24700	61	31524	44	29319	47	0	.	32159	40	34401	43	11302	35	3055	87	3762	48	0	.	264072	17	49291	42	10857	30	9595	32	57494	43	27355	41	56445	65	24879	38	36305	28	52609	73	14949	67	22601	35	38109	45	25485	47	53213	36	46335	34	59198	33	313486	24	123399	32	260011	35	69621	44	152116	37	13180	44	5849	37	24327	64	29869	52	11265	43	64607	30	0	.	778	54	0	.	5660	45	11915	64	5045	37	17626	35	3656	37	2196	50	14384	78	213	75	346	60	7368	36	3010	87	2951	62	19683	69	1052	55	28334	53	39343	56	20256	46	97098	37	57136	38	117553	27	66477	38	37204	43	12644	77	29883	51	11174	65	879	100	4117	63	16516	59	24411	58	108522	52	85149	33	95546	34	98507	26	63590	36	37530	45	31946	41	0	.	4887213	5
	maple	351718	27	112177	33	144599	34	79660	37	20104	43	34594	38	83194	22	77736	36	91411	27	193256	33	62690	37	110554	51	138778	43	7259	.	27462	73	49044	60	20623	41	8176	51	651	100	32141	29	5376	66	7270	46	4886	36	3382	64	281	62	157272	21	39886	35	12145	32	10319	34	27907	37	23952	42	22742	46	12666	44	4610	56	14222	46	3399	45	13803	34	140042	38	27751	54	6481	52	24387	37	56634	47	133307	36	79317	49	142708	32	48387	35	143984	34	25878	49	6764	35	17431	57	157481	39	97395	59	63930	33	1087	53	1771	71	1680	74	3392	42	849	55	15187	52	3897	52	1479	71	347	60	2703	53	3272	59	434	75	12704	57	3505	39	4178	37	22736	64	5172	81	7427	41	3061	85	3798	43	7701	42	16814	35	34953	37	23941	52	12406	70	6282	90	1483	62	2734	50	15830	87	5213	35	22461	30	67109	42	145140	36	68156	38	198168	62	187080	29	41833	59	33404	56	31160	61	0	.	4202372	6
	ash	138213	25	96601	36	77345	31	38945	33	8309	51	36720	35	60227	30	198484	29	166838	27	136541	40	60493	55	90808	38	139200	37	316	.	55426	56	37116	47	35221	37	101347	74	10624	89	56844	31	16624	50	10962	58	9481	56	16297	47	5116	62	230210	19	32231	40	55467	50	36062	34	9615	53	26000	57	17417	68	12453	55	7172	77	27983	43	5440	85	25542	42	150720	27	84422	67	18402	41	46961	37	47291	31	129909	26	48553	61	96867	61	33851	46	50706	33	34842	34	8070	55	20095	50	104181	31	62006	32	65240	35	21627	63	6646	68	40362	55	3101	53	16822	50	72257	33	35121	52	6401	93	37951	62	11509	47	8110	61	5458	62	12572	55	7686	61	9398	75	25376	40	3280	60	1456	79	98151	56	2509	64	0	.	20947	42	20055	58	23048	48	23032	51	2277	66	736	83	27792	57	23315	57	11016	35	25752	27	58917	66	95052	36	57149	35	178698	33	176882	25	56510	41	25643	37	31347	61	0	.	4375767	5
	oak	615	60	1393	51	2018	58	3204	52	0	0	331	100	652	71	1897	45	2809	33	1314	58	12041	95	1644	79	7806	88	0	.	140	71	0	.	0	.	3384	56	4024	85	0	.	723	91	2171	61	0	.	2380	49	0	.	17031	47	1142	55	994	70	0	.	2626	51	0	.	386	84	0	.	0	.	0	.	74	100	334	100	1182	71	1512	71	0	.	331	100	320	100	3970	65	947	69	1915	55	1070	72	76	100	711	100	0	.	0	.	326	72	2127	57	7931	56	0	.	962	50	344	100	1996	54	5637	62	12255	82	1606	57	351	59	1068	66	0	.	320	100	142	100	0	.	134	71	0	.	76	100	189	100	66	100	252	61	1735	54	0	.	17054	86	316	100	2453	85	7985	57	0	.	0	.	755	83	11068	49	12037	36	5722	44	446	100	0	.	4221	70	1456	68	4734	51	6462	53	478	77	712	65	0	.	196582	14
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	63	100	0	.	0	.	0	.	0	.	0	.	3362	59	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	.	300	100	3245	55	1246	61	7224	54	20099	56	27881	33	7612	60	7063	83	21021	36	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	70	100	744	60	0	.	0	.	0	.	0	.	71	100	0	.	213	74	0	.	0	.	0	.	69	100	0	.	0	.	0	.	0	.	0	.	100283	18
	other broadleaves	41849	33	22235	32	21340	43	5135	44	5018	45	17260	40	107989	16	52224	20	26983	25	15335	19	16637	50	11627	32	34061	52	70	.	4172	36	11335	41	19374	35	5256	32	1242	54	33812	29	29571	33	18230	25	36727	20	44394	24	38235	33	44220	27	5741	35	7129	37	39649	26	13459	40	12522	34	8080	76	7628	41	9720	36	6201	61	7213	34	13957	36	5818	47	12265	35	12766	30	10166	43	8000	31	12869	39	11723	30	22648	38	9484	39	7829	35	20536	28	20852	33	9530	39	8415	31	17126	43	12671	36	38256	39	25185	27	31737	39	10793	32	15155	33	36933	26	23960	28	8235	34	12099	38	6985	35	5794	38	16247	54	9314	40	5528	30	14076	32	2532	41	7567	79	6295	32	2195	41	5720	38	19180	30	8366	39	5857	28	9138	50	2059	47	2904	63	211	100	4134	73	59540	18	58085	19	41434	17	10248	38	3274	60	14869	36	5708	42	5829	41	140298	69	10763	35	5518	37	0	.	1690343	7
	species not assessed in all inventories	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	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	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	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	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	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	0	0	0	0	0	0	0	0	0	0	.	0	0
	total	734615	20	345660	23	361626	26	234089	21	47432	34	138914	28	469393	13	618016	15	762025	13	647312	18	315741	32	318269	33	542221	30	7715	.	160095	46	141360	42	130750	24	170340	51	17021	61	170562	23	143347	18	77676	18	106286	16	175203	13	134782	14	800459	13	148043	28	139551	25	149161	18	115852	28	103416	32	114612	44	60535	28	75732	21	104627	44	49136	29	97179	23	355926	28	162760	42	119170	27	149027	24	182755	26	604107	21	287505	25	537291	31	169240	32	367265	31	116680	22	74744	23	89178	39	318189	28	209175	38	228207	24	74461	36	57023	20	94935	37	33938	25	70678	28	169557	24	96282	24	30587	36	82609	37	43643	33	23760	39	31319	43	61256	28	24187	27	39525	32	77764	36	20419	47	50185	35	166012	41	46800	31	161038	27	127918	27	205748	23	156125	30	92225	35	40510	46	34045	49	55361	37	204534	15	174230	13	175826	14	173440	44	355381	32	271780	25	505022	35	488793	21	320087	35	139906	34	127623	32	0	.	18004506	3

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. 2290839. Birmensdorf, Swiss Federal Research Institute WSL

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