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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NFI4
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 2009/17
		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	.	6663	72	18799	64	22014	46	8757	46	6386	51	71543	29	101999	38	44011	50	27933	51	0	.	3895	82	0	.	0	.	0	.	4723	58	10583	39	824	100	0	.	787	100	33151	60	6344	43	15039	31	99267	36	17869	53	735	100	11609	74	53033	76	20519	74	2337	100	30181	62	1615	71	1683	70	0	.	10096	61	9195	40	10675	36	14157	61	2659	75	9230	41	696	100	13319	63	1470	71	0	.	4580	59	2319	75	2984	78	8306	48	37637	62	3385	61	3744	67	789	100	2284	100	1524	71	1524	71	1549	71	0	.	0	.	0	.	774	100	0	.	774	100	4717	41	1502	71	0	.	7854	65	5527	52	1642	71	75666	63	0	.	12039	62	0	.	10193	71	18846	42	841	100	2524	100	699	100	0	.	8176	69	0	.	761	100	10953	30	23745	28	28212	25	818	100	2455	100	7154	79	6255	55	2277	58	0	.	2312	74	15754	90	0	.	1016893	10
	fir	9900	46	21317	100	31559	41	45981	49	7552	70	19970	50	23184	29	88616	21	130879	24	11927	36	1514	71	16140	70	3135	50	0	.	0	.	696	100	14512	34	14254	74	0	.	5494	74	2308	75	790	100	0	.	1644	71	7045	90	39446	28	12436	37	16604	39	2455	100	2350	58	3344	61	10040	79	1470	100	5580	43	4558	100	2215	58	2471	74	10312	35	2735	74	0	.	1392	71	11266	39	2249	74	4670	71	10238	86	2357	75	5145	71	6532	58	22215	59	8425	40	8912	51	11648	53	4102	73	0	.	1610	71	0	.	740	100	0	.	0	.	1481	100	0	.	774	100	0	.	734	100	0	.	3111	80	787	100	4543	64	10169	67	0	.	8180	51	1630	71	13212	65	8923	40	3958	82	11590	48	9903	63	2296	75	2329	58	0	.	0	.	787	100	787	100	10156	35	12766	70	7979	76	20013	78	54587	61	16970	34	5357	87	789	100	7011	72	0	.	896749	8
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3791	82	3967	67	809	100	3141	61	4047	60	0	.	0	.	0	.	836	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	788	100	0	.	0	.	0	.	0	.	0	.	0	.	774	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2524	100	0	.	0	.	789	100	0	.	0	.	0	.	0	.	751	100	3063	78	0	.	0	.	0	.	0	.	0	.	789	100	0	.	0	.	0	.	0	.	26071	25
	larch	0	.	2524	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	809	100	788	100	0	.	809	100	4675	47	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	750	100	789	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	.	4025	45	21253	93	4514	62	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	40937	50
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1619	100	0	.	0	.	2428	100	18486	52	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14760	45	1619	100	4578	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	43489	29
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	818	100	779	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	734	100	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	779	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1578	100	0	.	0	.	0	.	0	.	0	.	0	.	779	100	793	100	0	.	0	.	0	.	818	100	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	774	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	.	7853	35
	beech	139832	30	56587	39	49059	42	92211	53	19970	76	41621	57	255484	57	88844	29	170977	31	164160	30	58124	66	82626	38	268888	35	0	.	789	100	231834	92	58142	45	82686	37	0	.	6020	49	7731	53	18026	46	0	.	0	.	0	.	175117	29	28196	58	7678	51	17469	81	14507	60	18944	42	33551	46	11302	39	125072	73	21258	69	6318	59	18839	65	42924	62	24552	69	9545	65	34557	64	61790	36	112304	37	37386	32	59421	48	34285	33	232951	48	13307	56	4092	60	30281	95	37396	56	49323	72	68807	39	0	.	3285	81	0	.	4550	47	9593	49	5938	65	0	0	52509	73	3211	50	27848	59	0	.	2937	100	20732	51	2220	74	15263	70	58177	74	0	.	137294	47	16661	73	15177	75	90763	71	25461	39	116437	45	4050	52	28234	61	40838	80	223672	99	59914	59	0	.	8699	83	176481	52	4063	67	51274	61	107119	61	36294	33	63005	47	22382	45	19609	53	13359	58	0	.	4691832	9
	maple	165580	50	198937	52	209771	51	102228	42	19327	50	31264	39	65539	23	23132	35	209588	29	85010	27	8820	51	72243	46	181025	54	779	.	0	.	57020	87	70708	60	30354	66	4126	84	15469	38	1619	100	8782	52	17306	74	17530	83	740	100	142866	33	19128	50	19199	43	3478	50	32411	64	37563	60	3952	66	30416	62	9256	54	23510	43	6914	51	12830	49	137857	56	49270	49	3012	61	12153	77	102292	39	62473	35	8450	51	36666	37	38701	52	158814	32	35721	44	15330	59	15550	90	166967	43	117181	49	17732	30	10675	53	7419	82	774	100	5290	61	9084	54	38209	48	0	.	3775	82	750	100	734	100	18691	55	809	100	5958	43	2308	75	9310	43	36936	50	1523	100	94497	74	189378	100	0	.	9469	47	13445	44	17461	50	50827	71	3772	67	2367	100	0	.	1550	71	787	100	50357	74	28252	49	46596	86	68578	44	39037	64	78527	44	159032	48	54052	69	18468	84	183532	69	0	.	4178817	9
	ash	134027	30	113943	44	93227	34	85244	49	2455	74	54572	58	89377	41	104412	34	117931	33	134491	36	44533	76	61783	34	78552	45	0	.	5358	87	19935	52	38854	38	71750	54	16749	87	66515	32	12286	55	8631	45	15622	55	71014	55	14781	69	140215	22	93306	79	59123	56	92820	61	8217	77	31649	63	31899	88	27851	57	3807	67	24115	47	64165	93	36380	54	61070	46	81903	54	32060	48	24106	73	57518	48	61281	47	13827	41	39456	36	55696	40	157687	57	54054	45	14138	54	2210	73	125448	38	105277	42	85669	52	29378	50	23262	50	97021	47	6730	79	27208	56	103654	32	156853	81	14199	85	39240	52	9918	47	22084	83	2329	58	15079	43	6835	64	9704	57	22883	54	1460	71	11759	94	16452	78	5016	100	0	.	19514	43	21099	52	5545	43	36271	54	13813	72	0	.	25512	53	47315	57	44418	75	94761	40	62518	62	52848	37	42924	57	169952	40	113057	30	12416	66	34107	45	39527	48	0	.	4497654	7
	oak	1470	71	789	100	1550	71	21913	94	0	.	0	.	0	.	3947	53	16413	34	735	100	0	.	841	100	2205	100	0	.	818	100	2367	74	0	.	1550	71	121890	79	0	.	1619	100	7547	90	0	.	2355	75	734	100	0	.	1523	100	1578	100	0	.	58564	95	0	.	2249	74	0	.	0	.	0	.	824	100	0	.	0	.	0	.	0	.	818	100	761	100	735	100	0	.	0	.	0	.	2940	100	790	100	0	.	0	.	841	100	0	.	0	.	0	.	1549	100	0	.	848	100	5938	100	4794	69	5938	100	10106	93	0	.	0	.	0	.	0	.	0	.	0	.	0	.	912	100	0	.	735	100	0	.	37880	81	0	.	101279	78	0	.	0	.	4578	46	1488	71	0	.	0	.	22641	55	8683	62	8751	70	0	.	0	.	761	100	0	.	2392	58	0	.	0	.	2312	58	0	.	481951	30
	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	.	4168	60	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	3171	61	1697	100	2545	74	3877	52	4898	53	0	.	3319	80	3193	50	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	779	100	9136	100	0	.	0	.	0	.	0	.	0	.	0	.	790	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	37573	29
	other broadleaves	20649	33	16564	51	19745	50	3945	53	6179	71	5577	38	76266	22	30972	31	24444	38	21414	36	3303	80	6791	55	4649	58	779	.	1580	71	4027	53	14648	38	6250	50	6852	90	13041	35	33223	36	28899	33	26493	31	52607	25	16988	36	19607	35	5668	48	9957	72	13790	59	12338	89	14991	47	2394	74	11833	63	3135	61	3271	62	8961	60	28913	50	1580	71	1616	71	2334	58	3215	50	5451	47	6212	67	1470	100	20825	72	19895	85	4649	47	7386	47	28304	37	4596	53	7824	45	6907	59	4568	58	17104	50	6906	55	7588	45	2971	79	8913	56	8692	37	10840	68	5485	51	12944	47	9535	44	12612	44	1561	71	3044	61	12222	48	11206	45	2980	80	8374	100	25418	49	0	0	2249	74	13757	50	6558	51	9696	45	2290	74	4526	63	1578	100	1672	100	1603	71	36761	35	59249	38	33786	31	9636	67	0	0	6055	50	2426	75	10511	47	13749	73	0	0	9107	69	0	.	1101179	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	.
	total	471457	29	417324	39	423710	30	373536	27	64240	33	159390	32	581393	28	441920	17	715061	17	446448	21	116294	46	244320	29	538453	36	1558	.	8546	57	320602	70	207446	29	207668	39	149617	69	108060	23	98155	32	83775	22	75270	28	254963	28	85365	28	517986	18	171866	49	167173	34	151367	41	131503	50	136672	31	85700	41	84555	34	146850	63	86808	39	98591	64	110108	29	269478	44	162735	44	56181	34	76937	49	252397	27	246724	32	65804	27	171965	30	154046	30	565168	35	126884	30	121717	31	65265	66	351133	35	291125	38	183162	33	59432	37	50290	37	108628	44	23674	37	64614	31	166184	27	175886	76	90167	46	60886	37	52752	35	55624	54	7636	50	55779	33	29898	33	51668	34	207722	35	11357	75	289922	36	224122	91	83728	45	144282	47	171057	49	179587	33	83238	47	79676	42	70589	51	225344	98	89340	49	138778	25	221872	34	390283	29	136397	68	183134	41	223064	38	348041	31	368032	30	107956	42	75285	39	270601	57	0	.	17020997	5
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	0	.	3772	100	6419	52	4438	49	2860	66	3072	50	53318	22	38596	28	14929	27	3997	40	303	100	0	.	0	.	0	.	1427	53	2484	59	4509	52	1407	65	0	.	6805	42	27768	40	7908	38	21001	34	34008	25	9600	25	3655	53	3670	46	2366	43	7143	39	0	.	2564	49	1090	71	1999	60	280	100	1797	75	7859	37	4413	41	3420	44	1833	52	5368	37	2243	58	2416	56	1916	56	1674	71	1935	47	303	100	280	100	3004	51	12687	62	2260	49	828	58	852	100	2300	50	1913	47	2749	65	2176	56	0	.	0	.	0	.	533	71	0	.	557	100	3650	40	1373	82	1406	53	4729	40	1953	51	2091	46	13453	61	0	.	2109	62	6304	100	1626	83	14765	45	1136	79	2361	51	1810	65	0	.	4151	75	0	.	1400	67	8477	34	13833	41	17496	23	4166	54	0	.	2690	55	1755	59	606	100	754	74	6229	79	526	71	0	.	457554	7
	fir	1074	50	820	58	3104	49	5590	57	0	.	1540	71	554	71	27079	32	30753	27	2305	72	0	.	11044	78	1167	71	0	.	569	71	0	.	2233	51	2574	57	0	.	0	.	0	.	583	100	6797	92	604	71	0	.	14147	25	4391	42	5903	46	1154	50	0	.	280	100	0	.	0	.	1505	66	602	71	301	100	593	70	3125	64	0	.	0	.	1176	50	250	100	0	.	2239	65	568	100	1123	61	2231	57	0	.	2642	62	3870	60	1348	53	1458	72	909	100	0	.	799	100	266	100	0	.	0	.	0	.	305	100	0	.	279	100	562	71	285	100	0	.	1103	61	0	.	751	58	4535	94	0	.	301	100	554	71	7461	79	1144	50	1789	63	4216	55	1390	72	558	71	284	100	0	.	548	100	283	100	1688	58	3116	54	656	100	568	100	852	74	10909	70	1742	62	0	.	1211	100	1006	100	0	.	197369	11
	pine	0	.	606	100	0	.	0	.	0	.	0	.	1114	62	0	.	284	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2468	78	284	100	1165	100	569	100	7568	39	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	303	100	0	.	285	100	602	100	301	100	0	.	0	.	0	.	0	.	2509	100	0	.	0	.	270	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	303	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	291	100	2893	74	291	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22105	23
	larch	0	.	1211	100	0	.	0	.	0	.	0	.	858	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	583	71	1129	50	0	.	3681	58	14455	47	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	295	100	301	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	810	100	1672	100	540	100	0	.	0	.	0	.	563	71	0	.	279	100	0	.	0	.	0	.	0	.	0	.	0	.	284	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5376	33	2255	89	562	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	34853	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	.	291	100	7972	28	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2226	43	583	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11073	23
	other conifers	0	.	0	.	303	100	0	.	0	.	0	.	0	0	0	.	548	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	.	251	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	.	568	100	0	.	0	.	0	0	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1671	53
	beech	66314	25	25177	46	43899	57	32597	31	2302	51	11993	36	46637	41	48368	33	56540	21	88059	28	29965	40	44839	40	56391	32	0	.	15456	61	5571	61	61208	60	15577	42	0	.	4873	44	7936	57	7431	35	854	100	266	100	0	.	90827	28	17131	49	4526	46	3911	43	14519	66	9497	45	21273	58	11680	61	19927	46	12267	78	1452	60	4048	53	65536	54	25572	73	19095	48	2092	57	58097	35	57585	30	31704	46	40745	53	29351	45	69015	36	3305	47	3786	67	3541	55	10509	87	7943	49	105256	42	0	.	0	.	0	.	537	71	863	58	897	58	549	71	1133	61	313	100	14250	96	0	.	0	.	5028	95	285	100	1591	68	29354	48	0	.	45968	60	11372	56	13452	67	28048	29	9036	42	33718	33	20628	78	12338	60	13383	67	3332	55	7901	53	3515	100	837	75	3380	37	8611	49	14733	51	19775	39	23658	39	29096	29	15594	66	15501	40	9224	47	0	.	1814341	6
	maple	24632	33	12191	61	62869	56	38138	40	295	100	5264	46	15341	31	6591	32	17156	28	8857	36	1431	61	23716	56	7800	42	841	.	285	100	9974	92	13314	41	4655	60	1644	100	2813	45	2307	56	0	0	1635	52	1144	80	807	58	19004	30	7574	59	6897	54	1090	71	1464	73	2647	66	0	.	2841	45	830	73	4483	69	2691	51	3071	58	11737	49	10762	52	1726	63	589	100	9254	41	15558	44	3930	56	4498	38	14087	57	26363	41	1940	43	1147	62	924	58	22036	47	11085	59	11619	52	807	75	0	.	270	100	270	100	0	0	3597	74	824	74	0	.	819	74	291	100	1423	100	1123	62	5080	79	1991	87	1666	73	3526	41	0	0	4834	77	3977	87	909	74	5372	34	2076	78	4653	44	9113	94	1760	76	558	71	0	.	274	100	832	74	3359	39	5155	60	4880	72	13973	70	3673	59	14412	50	35977	49	4910	60	2253	61	17856	92	0	.	626039	9
	ash	18269	39	17106	48	12356	38	16828	41	301	100	6890	35	10928	30	23930	36	26898	30	10207	42	4030	42	9330	46	9208	50	0	.	2003	62	3805	74	10956	38	2715	47	822	74	10612	44	3782	79	1124	61	2163	88	6638	70	815	58	15624	24	5783	44	2877	55	2392	65	1095	78	6019	73	1402	72	11583	86	1683	85	5278	55	4813	89	15138	39	18110	63	7616	87	1979	66	0	.	21113	59	13224	61	4222	63	11976	59	19217	54	15436	42	6539	62	2307	80	5886	58	13270	47	42843	90	13910	46	2160	77	3001	82	11615	68	270	100	5868	82	25343	37	5349	89	1142	78	2195	63	264	100	2847	65	1692	71	270	100	4727	63	589	71	5292	60	274	100	8218	93	3541	68	303	100	0	.	5486	64	3038	64	1096	79	3678	75	3292	78	0	.	4131	63	5489	40	858	58	9628	36	6002	47	25354	63	6396	42	25342	38	29764	46	2673	62	6356	41	3085	74	0	.	709679	9
	oak	265	100	0	.	0	.	554	71	0	.	0	.	0	.	0	.	3735	35	0	.	0	.	0	.	303	100	561	.	303	100	251	100	0	.	0	.	0	0	0	.	0	.	0	.	0	.	557	100	0	.	0	.	0	.	587	71	0	.	1074	78	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	280	100	0	.	0	.	280	100	0	.	0	.	0	.	0	.	0	.	861	58	1370	66	0	.	0	0	0	.	0	.	0	.	0	.	270	100	0	0	0	.	0	.	285	100	0	.	0	.	0	.	0	.	606	100	0	.	0	.	852	100	280	100	0	.	1323	100	0	.	0	.	880	76	0	.	0	.	0	.	1165	79	4063	55	291	100	0	.	274	100	0	.	0	.	0	.	251	100	0	.	284	100	0	.	21807	17
	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	611	100	266	100	0	0	836	100	916	57	557	71	0	0	1385	53	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	606	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5178	30
	other broadleaves	7352	71	12868	43	6415	36	3588	50	826	58	3267	50	36718	18	13447	25	14159	40	5850	46	4422	71	1900	47	1916	47	841	.	1146	61	577	71	9175	52	2659	61	285	100	9859	46	8959	34	7476	47	18386	40	10322	29	12767	39	10557	34	2230	46	2027	38	5011	38	1979	47	1806	70	0	0	1979	44	3386	92	596	71	3037	54	6117	42	872	58	3708	47	1734	47	501	71	4028	45	1364	60	882	58	4517	65	10240	84	3870	39	5014	39	10339	39	4806	58	4811	67	5046	41	6030	50	2458	43	2511	46	2517	46	563	71	4352	46	4227	54	836	74	3951	68	2744	60	3744	47	2544	46	2560	79	2551	60	1406	45	5835	44	250	100	851	74	14925	83	871	74	3019	65	7542	40	6398	47	561	71	3879	61	4535	94	1692	47	0	.	577	71	9470	39	11246	30	13136	27	2359	77	1117	61	1290	81	3589	52	2491	65	9497	73	1116	62	5599	57	0	.	450477	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	.
	total	117906	22	73751	32	135364	34	101732	26	6584	43	32026	27	165467	15	158010	16	165002	14	119275	23	40151	36	90828	31	76784	28	2244	.	21187	47	22663	53	101394	41	29587	31	2751	81	34960	26	53802	26	25934	22	52003	25	58083	20	53984	19	153814	20	40780	35	25183	28	20702	22	20131	50	22814	31	23765	52	30082	57	27612	36	25317	44	20454	34	33379	25	102799	38	49492	45	29902	35	6602	38	95159	29	89928	27	44652	37	64238	38	74904	34	117196	29	20087	31	33510	34	21588	31	53054	37	70087	60	141392	37	8148	36	13852	39	17650	48	1639	47	12189	44	34981	32	9787	50	6225	54	8571	35	22761	61	8755	54	6781	45	18761	52	10360	38	12525	29	57300	36	1125	61	76354	42	27471	37	27050	47	57175	22	27245	27	48546	27	38523	50	23749	44	23928	42	3332	55	14832	46	37126	19	41614	23	53055	17	26675	32	56019	43	34676	30	79666	29	99676	30	33680	39	32667	32	37580	58	0	.	4352145	4
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	0	.	1533	66	197	71	3012	74	377	60	1800	84	19763	20	9226	22	9562	29	2359	35	1963	100	218	100	0	.	0	.	180	100	2894	42	2479	35	1906	42	0	.	1823	39	12227	42	2746	31	5228	32	11549	20	3771	29	1837	43	1358	42	1671	40	3332	32	0	.	1341	43	190	100	297	75	722	43	320	100	4047	47	2295	31	408	50	2023	49	3039	32	2297	45	1317	39	958	60	912	63	305	75	109	100	196	71	1511	48	2350	51	180	71	780	51	395	100	1830	66	2300	49	1793	33	1873	42	0	.	0	.	0	.	290	58	0	.	404	77	832	67	487	82	812	47	2509	56	1508	37	1403	39	1349	55	91	100	762	51	197	100	109	100	4305	35	1022	74	319	58	407	78	0	.	412	61	190	100	218	100	6549	27	4564	29	5122	23	415	62	91	100	820	59	429	62	704	38	917	73	1008	54	109	100	0	.	175154	6
	fir	0	.	91	100	99	100	2529	60	0	.	1061	100	887	46	8731	27	11303	29	1239	37	0	.	1503	88	493	67	0	.	1373	94	0	.	892	42	1141	67	0	.	0	.	0	.	305	58	0	.	198	71	97	100	6976	24	1379	40	1979	41	1549	45	0	.	508	52	404	79	0	.	1474	42	325	74	180	71	107	100	927	62	108	100	102	100	647	75	0	.	95	100	806	50	211	71	511	100	993	51	1174	83	638	63	2556	40	0	.	0	.	0	.	0	.	96	100	0	.	0	.	0	.	0	.	689	52	384	79	401	77	0	.	0	.	204	71	395	50	0	.	820	35	508	83	0	.	101	100	307	74	681	65	311	58	420	62	1993	60	713	87	701	86	307	100	0	.	102	100	811	77	516	66	3843	40	528	60	311	74	307	100	284	73	218	100	0	.	723	86	91	100	0	.	72352	9
	pine	95	100	436	100	0	.	0	.	0	.	0	.	213	71	107	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	524	82	1154	73	0	.	0	.	7759	38	0	.	0	.	0	.	596	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	202	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	309	58	0	.	0	.	91	100	0	.	0	.	0	.	1003	100	0	0	0	.	0	.	0	.	0	.	0	.	0	.	210	100	0	.	0	.	105	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	218	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1533	48	2022	65	204	100	0	.	0	.	109	100	0	.	0	.	0	.	0	.	0	.	0	.	16891	22
	larch	95	100	0	.	109	100	0	.	0	.	0	.	315	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	108	100	0	.	0	.	524	100	1534	66	1226	92	3146	30	7708	32	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	109	100	0	.	0	.	194	71	100	100	1084	41	0	.	0	.	0	.	1113	51	0	.	0	.	0	.	0	.	0	.	105	100	0	.	0	.	0	.	0	.	0	.	109	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4434	27	502	54	199	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22716	15
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	202	71	0	.	0	.	102	100	2439	28	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	194	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	.	1126	35	297	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4361	20
	other conifers	0	.	0	.	0	.	0	.	0	0	0	.	0	0	0	.	109	100	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	0	0	0	101	100	0	.	109	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	99	100	0	.	0	0	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	91	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	.	303	75	0	.	0	.	0	.	0	.	0	.	0	.	811	40
	beech	40545	27	27315	37	33875	49	21301	41	1877	62	2946	43	22369	44	27996	25	47163	29	44924	33	12369	51	27264	49	20820	44	0	.	6847	59	1815	73	18021	45	3053	49	99	100	3422	43	3436	43	3441	36	710	88	592	83	0	.	38677	22	13518	38	2761	43	4031	51	4145	38	5240	37	4397	50	9642	40	8818	40	13522	83	2626	71	4720	41	17616	53	1312	57	4901	37	2948	35	13939	34	18249	28	25886	47	24684	41	6524	40	26273	35	3421	63	2616	46	2725	77	2907	55	1019	51	17502	39	0	.	96	100	0	.	584	62	11132	97	110	100	4104	50	1921	56	113	100	1039	68	102	100	198	71	1579	62	205	100	1298	53	2475	48	99	100	17371	56	7897	56	7450	60	13821	33	6668	33	20135	35	12995	55	7967	55	3364	50	729	63	2717	43	779	100	990	73	1607	39	1917	47	6681	56	10518	35	17491	46	17531	40	8538	39	9491	45	6903	68	0	.	865432	6
	maple	7704	50	5349	38	23353	42	10122	41	0	.	1460	54	8651	24	4783	34	4116	38	2636	35	3409	46	4224	55	2570	42	0	.	307	100	314	75	2936	41	388	60	197	100	820	56	400	71	937	90	901	43	410	60	97	100	9741	25	6535	35	1592	47	623	58	1917	80	325	100	606	100	411	61	101	100	2363	56	439	50	1286	35	5120	48	215	71	199	71	945	73	1034	40	5374	50	2638	57	5353	52	6101	56	6163	38	599	53	516	68	720	64	5555	52	3804	59	3821	58	292	100	96	100	196	71	194	100	439	80	640	63	210	71	110	100	0	.	207	71	1024	100	204	71	301	58	1703	54	2178	62	6949	91	691	100	2294	60	205	71	747	78	832	64	1228	47	2103	56	1129	43	2606	96	1012	68	0	.	810	49	499	65	993	42	1238	37	2405	64	8128	67	6621	70	4652	54	12516	64	473	65	913	48	2185	75	0	.	229209	9
	ash	5212	36	9609	49	392	60	2828	37	325	100	1879	53	3359	33	21869	53	8436	61	4988	47	3650	87	3538	57	521	72	0	.	691	100	639	85	1556	58	2959	49	1480	76	2353	49	381	100	205	71	809	71	837	69	196	71	8758	29	3262	42	2961	66	1804	49	729	62	650	52	303	100	1402	67	815	88	4243	56	755	66	4935	49	2347	50	0	.	3607	77	0	.	3386	50	3993	53	6193	63	3029	73	2735	62	3393	61	1178	84	2166	95	425	50	4623	42	3392	61	6734	48	292	74	203	71	8688	91	0	0	1304	79	5932	62	702	65	311	74	298	75	0	.	1955	57	819	100	0	.	2389	42	388	60	4713	53	288	58	510	60	1897	55	2173	95	0	.	2262	72	1509	94	880	90	1199	100	382	60	0	.	1128	83	2995	40	0	.	4976	35	3712	72	4647	53	807	50	7505	59	8844	31	4373	58	2827	69	1484	93	0	.	238923	9
	oak	109	100	109	100	0	.	708	68	0	.	0	.	0	.	202	100	218	70	0	.	109	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	101	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	118	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	109	100	981	74	0	.	0	.	100	100	0	.	0	.	0	.	0	.	100	100	97	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	109	100	0	.	0	.	109	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	395	79	315	74	105	100	105	100	0	.	0	.	99	100	0	.	0	.	0	.	0	.	0	.	0	.	4298	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	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	102	100	0	.	0	.	0	.	0	.	0	.	0	.	1314	92	96	100	0	0	694	66	210	71	100	100	0	0	812	55	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	109	100	0	.	0	.	0	.	0	.	0	.	0	.	102	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3540	39
	other broadleaves	4112	35	4242	42	1651	48	1520	50	0	0	1428	61	24323	20	9215	25	5806	31	1397	53	1965	62	392	62	3769	65	0	.	4343	65	1802	49	5203	39	2370	40	300	74	4177	28	1398	46	2854	39	3364	46	4019	29	7218	59	6538	36	1733	35	2287	55	2598	50	731	43	1872	53	101	100	1115	49	1755	71	1079	49	2050	38	4403	31	401	50	5082	61	1558	53	1335	56	1005	42	869	69	1657	53	1523	70	3566	59	1898	38	1021	38	4438	42	705	42	832	44	1913	40	1085	61	1578	59	3687	40	689	55	903	40	2736	37	3383	35	1524	43	2103	43	599	47	1873	49	1430	51	1742	43	2647	74	1579	37	5801	43	1272	37	812	57	1072	49	1179	68	2822	49	1653	31	1245	43	722	55	2778	66	768	63	708	63	0	0	2149	82	5425	37	5630	29	11995	51	4467	80	690	74	1956	60	2230	58	1445	45	5046	63	1508	51	2056	67	0	.	243919	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	.
	total	57872	23	48684	29	59677	35	42019	31	2579	49	10572	34	79879	16	82129	19	86713	19	57542	27	23466	44	37139	40	28174	41	0	.	13741	39	7464	38	31086	30	11926	29	2076	59	12595	23	19093	29	13175	20	12238	24	20852	16	29286	20	72627	17	27785	29	13360	29	14534	24	7624	32	9937	29	6001	41	12868	34	13686	31	21853	54	10097	33	17746	24	27119	37	8859	42	13407	32	8172	30	20681	27	29538	25	38092	38	35106	40	19545	30	38916	28	9314	32	12724	32	7312	40	15096	34	11504	33	30973	31	4656	35	8488	29	12821	62	1682	34	16304	71	10276	40	8835	29	4926	31	2627	32	4161	42	4999	45	3979	32	7641	35	7385	29	11887	28	17375	49	1980	44	22110	47	11900	41	13982	53	21140	26	12844	30	26781	34	19011	41	13241	60	6185	41	919	54	7519	37	24465	17	15619	18	29393	26	13445	41	20548	37	21539	39	32589	37	41258	32	19346	34	16471	33	12826	44	0	.	1877606	4
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	240	62	363	55	388	66	1077	45	486	57	500	74	8800	17	3442	18	4784	22	1525	27	256	100	620	68	39	100	0	.	141	71	1591	41	834	37	345	53	0	.	1073	35	5144	31	2201	25	4073	17	8498	17	2860	24	429	32	1270	41	1123	34	1790	25	39	100	804	75	112	100	121	58	316	58	271	49	1682	31	1744	29	803	41	477	55	2365	26	1218	48	1024	30	451	65	199	60	236	63	456	71	112	74	605	35	1051	44	368	40	549	44	505	71	118	58	1276	39	1207	37	1271	27	0	.	0	.	0	.	312	40	80	71	731	69	410	62	431	47	1040	39	669	57	507	39	1216	39	200	65	71	100	210	53	78	71	0	.	1554	29	357	58	212	60	489	44	141	79	116	58	37	100	128	100	3101	19	2878	21	3632	18	168	79	180	81	331	79	608	88	280	57	145	61	334	78	71	100	0	.	93993	4
	fir	77	71	40	100	35	100	351	53	0	.	83	71	262	38	2192	29	3200	27	1336	27	237	71	77	71	307	64	0	.	337	75	0	.	546	32	557	61	0	.	37	100	154	61	38	100	238	71	77	71	0	.	3692	18	621	46	1398	31	1021	28	42	100	249	40	158	100	39	100	307	43	330	57	190	61	322	47	354	68	0	.	149	61	558	57	40	100	0	.	394	52	159	61	195	66	351	40	1071	60	358	43	1038	49	43	100	43	100	77	100	0	.	152	79	0	.	0	.	0	.	0	.	840	46	188	82	189	82	313	47	0	.	242	58	228	71	0	.	224	63	43	100	77	100	43	100	225	62	204	54	482	52	442	51	689	44	500	66	887	62	274	75	42	100	117	74	468	48	359	62	1747	41	199	45	39	100	122	74	81	71	209	84	0	.	35	100	141	79	0	.	33181	7
	pine	37	100	85	100	0	.	35	100	0	.	0	.	40	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	509	54	287	87	0	.	38	100	3645	32	79	100	0	.	0	.	42	100	0	.	0	.	0	.	0	.	0	.	0	.	83	100	0	.	39	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	161	61	0	.	42	100	0	.	0	.	0	.	0	.	274	100	266	100	0	.	266	100	0	.	0	.	0	.	0	.	123	100	0	.	0	.	533	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	43	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1168	30	626	52	205	53	0	.	0	.	43	100	0	.	43	100	0	.	0	.	0	.	0	.	8711	17
	larch	112	74	0	.	43	100	0	.	0	.	0	.	204	83	0	.	0	.	0	.	0	.	39	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	328	68	279	55	318	77	1153	42	2162	29	0	.	39	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	39	100	0	.	280	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	344	71	435	67	347	46	154	61	0	.	0	.	979	42	192	53	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2652	20	893	41	120	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	35	100	0	.	11144	11
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	114	100	0	.	80	100	40	100	1080	31	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	583	35	461	43	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2399	19
	other conifers	0	.	0	.	0	.	85	100	0	0	0	.	0	0	0	.	232	71	158	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	.	77	100	0	.	0	0	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	35	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	.	43	100	0	.	0	.	0	.	0	.	39	100	0	.	0	.	0	.	0	.	0	0	0	0	0	0	0	.	0	.	0	.	43	100	0	.	0	.	0	.	0	.	0	.	711	37
	beech	2268	31	1582	44	357	43	1058	55	199	54	413	40	2406	30	2905	22	4593	20	1114	27	969	69	475	51	1649	44	0	.	394	82	270	76	991	56	971	84	0	.	1061	42	1160	62	841	49	0	.	357	39	0	.	2689	32	756	40	949	35	446	40	689	44	365	39	237	53	476	67	403	46	296	71	208	72	368	37	439	44	246	41	1240	29	1123	44	822	36	1518	33	1627	40	1231	58	891	42	275	52	606	47	436	48	125	58	314	46	117	58	907	36	0	.	0	.	0	.	504	51	551	59	86	100	1772	32	696	45	505	62	77	71	40	100	41	100	195	53	190	60	294	74	85	100	81	71	250	47	593	64	162	62	1429	43	1205	36	593	47	1139	42	396	49	240	71	79	100	361	53	114	100	78	71	701	42	212	45	354	46	435	49	391	38	2055	39	579	49	788	50	624	48	0	.	63728	5
	maple	1142	48	1355	45	1259	51	701	53	81	71	35	100	1732	31	342	36	810	33	398	40	631	61	608	51	577	50	0	.	82	71	115	76	1088	47	35	100	116	100	282	43	41	100	82	71	280	87	162	50	76	100	1239	35	204	60	361	51	331	47	866	75	42	100	158	100	39	100	0	.	85	71	83	100	124	58	83	71	83	100	121	58	219	54	83	71	151	78	196	60	39	100	283	86	277	64	200	100	275	47	0	.	267	51	118	75	197	60	37	100	39	100	0	.	238	53	44	100	120	58	274	55	43	100	0	.	79	71	79	71	82	71	118	58	116	58	488	57	371	76	0	.	380	66	0	.	423	68	79	71	272	47	80	71	568	59	209	84	0	.	0	.	375	64	196	45	430	39	833	24	373	71	388	40	386	48	614	54	196	53	188	52	120	74	193	66	0	.	26584	8
	ash	1576	35	577	42	77	100	35	100	92	100	206	83	412	40	1294	48	722	47	682	50	43	100	292	63	37	100	0	.	85	100	308	100	377	80	320	52	116	100	160	80	80	100	0	.	192	82	164	50	38	100	765	34	154	50	117	58	195	52	164	62	0	.	158	100	318	77	39	100	374	79	42	100	252	58	501	58	0	.	442	57	0	0	212	83	77	71	394	91	114	76	321	100	340	88	194	66	254	100	81	71	804	47	231	74	718	79	0	.	83	71	193	66	0	.	517	60	236	47	366	46	0	.	44	100	0	.	118	75	38	100	0	.	368	90	193	68	468	91	35	100	122	76	106	74	42	100	0	.	197	72	0	.	116	100	0	.	39	100	0	.	397	45	310	53	0	.	309	50	125	58	341	56	118	58	254	71	219	62	1404	67	360	81	121	58	0	.	22385	9
	oak	0	.	0	.	0	.	162	71	0	.	0	.	0	.	39	100	256	62	0	.	0	.	0	.	85	100	0	.	0	.	0	.	0	.	124	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	77	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	177	100	0	.	128	100	43	100	0	.	0	.	0	.	0	.	341	88	0	.	0	.	0	0	0	.	0	.	0	0	0	0	121	74	153	79	39	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	43	100	0	.	0	.	39	100	0	.	0	.	0	.	35	100	0	.	40	100	0	.	81	71	278	52	318	50	0	0	0	.	0	.	0	.	0	.	0	.	383	100	43	100	0	.	0	.	3005	22
	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	.	78	100	80	71	82	71	0	0	164	62	39	100	0	0	78	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	40	100	0	.	0	.	0	.	0	.	0	.	0	.	40	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	603	29
	other broadleaves	579	49	663	39	128	100	158	62	0	0	171	61	3907	17	1025	35	905	31	797	27	82	71	161	61	543	61	0	.	254	100	319	66	620	57	148	60	77	71	771	40	513	41	160	62	1229	29	1740	53	705	41	1212	26	585	48	588	42	580	35	291	88	161	61	79	100	196	52	169	61	168	61	167	50	637	32	80	71	251	47	358	40	409	49	164	50	156	50	331	79	263	51	316	69	238	53	234	47	808	40	202	51	409	58	438	42	118	75	1310	50	823	35	616	33	966	39	600	36	894	32	1763	27	867	32	671	28	281	78	391	50	480	41	754	49	242	47	663	32	371	49	302	69	164	50	106	100	447	54	361	43	200	53	39	100	248	59	191	71	120	100	0	0	426	65	2571	22	2138	32	2155	21	212	67	112	58	164	62	208	67	81	71	166	62	588	80	39	100	0	.	47997	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	.
	total	6031	24	4664	25	2287	34	3663	30	858	45	1409	45	17762	12	11239	13	15502	12	6011	16	2217	45	2272	38	3237	33	0	.	1294	41	2604	31	4456	24	2501	43	308	64	3385	23	8042	23	3888	21	6411	16	12229	15	10566	15	10181	15	3629	25	4537	20	4406	17	2091	47	1620	41	900	56	1191	39	1235	30	1524	36	2456	25	3447	20	2376	33	1058	31	4674	19	3527	31	2384	25	2353	31	3597	30	2043	38	2590	35	1636	33	3070	28	3183	29	1858	31	2420	29	1793	35	2136	34	2967	31	3091	22	2774	21	1945	26	1978	30	1500	26	6468	19	2219	24	2258	31	1282	45	1059	38	1964	29	2497	34	1423	32	3080	29	1538	47	609	43	1169	38	1150	43	1318	42	3947	25	2673	26	1614	30	3173	28	1824	41	828	48	158	61	1885	36	11441	11	8180	15	9741	14	1289	34	1413	28	1599	29	2198	36	3083	35	2865	42	2267	36	1224	39	0	.	314441	2
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	273	54	317	47	391	47	455	59	596	49	248	53	4166	16	1369	21	3135	23	686	34	0	.	289	72	0	.	0	.	75	71	455	47	569	33	109	58	77	100	638	40	1895	23	1710	23	3029	20	3881	16	2302	23	483	48	300	43	927	42	772	28	79	100	481	55	0	.	79	71	279	47	329	45	586	43	977	34	657	42	336	50	1310	28	556	41	432	35	379	55	79	71	76	71	229	58	223	100	238	59	551	32	216	54	437	45	154	100	116	58	576	32	850	36	818	40	76	71	0	.	0	.	123	76	78	100	544	50	202	67	195	53	845	58	235	53	278	48	388	50	75	71	0	.	383	90	0	.	42	100	537	27	158	61	248	47	241	53	35	100	81	71	0	.	152	50	2443	19	1374	24	2008	19	128	58	267	47	166	80	106	100	85	100	77	100	121	77	116	74	0	.	51995	4
	fir	37	100	77	100	154	100	325	49	41	100	41	100	355	43	1251	21	1575	22	777	29	158	79	117	58	79	100	0	.	196	53	40	100	244	53	198	53	0	.	37	100	38	100	0	.	41	100	115	58	0	.	1530	21	249	41	1287	36	555	34	0	.	240	47	353	90	119	58	513	41	78	71	0	.	114	58	0	.	0	.	194	53	351	58	74	71	39	100	154	61	82	71	78	71	346	48	489	56	113	58	448	39	80	100	205	73	0	.	0	.	0	.	37	100	0	.	0	.	0	.	78	100	265	74	114	58	188	60	0	.	41	100	40	100	74	71	182	52	78	71	116	100	82	71	78	71	234	56	79	71	247	72	206	60	156	61	226	56	114	58	85	70	39	100	80	100	159	79	957	52	70	100	0	.	201	72	78	71	35	100	0	.	0	.	35	100	0	.	17963	7
	pine	0	.	0	.	43	100	43	100	0	.	0	.	119	58	0	.	78	71	0	.	0	.	0	.	43	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	313	47	41	100	0	.	200	53	1638	33	39	100	0	.	0	.	127	100	0	.	0	.	0	.	0	.	0	.	0	.	125	100	0	.	0	.	0	.	40	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	40	100	0	.	0	.	0	.	0	.	0	.	0	.	39	100	270	76	0	.	38	100	0	.	0	.	0	.	0	.	0	.	0	.	80	100	205	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	526	35	158	50	163	50	0	.	0	.	0	.	0	.	170	100	0	.	0	.	0	.	0	.	4537	16
	larch	37	100	0	.	0	.	0	.	0	.	0	.	163	50	0	.	43	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	123	100	200	82	38	100	791	34	1361	31	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	43	100	0	.	0	.	0	.	0	.	0	.	39	100	0	.	0	.	0	.	0	.	39	100	0	.	0	.	0	.	0	.	194	60	118	75	307	43	117	58	0	.	0	.	517	72	156	61	78	100	0	.	0	.	0	.	41	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	128	100	1180	25	550	30	81	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6343	13
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	79	71	0	.	80	100	40	100	801	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	.	82	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	361	49	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1442	24
	other conifers	0	.	0	.	77	100	0	.	0	.	0	.	0	0	0	.	78	71	118	100	0	.	40	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	.	83	71	0	.	0	.	40	100	0	.	0	0	0	0	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	83	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	39	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	83	100	0	.	43	100	0	.	0	.	0	.	0	.	0	.	0	.	684	32
	beech	690	34	424	33	116	58	593	43	0	.	125	58	1434	24	1449	24	1678	24	950	36	153	61	188	53	622	37	0	.	35	100	126	58	479	48	242	53	0	.	151	50	195	53	310	58	0	.	245	60	0	.	828	31	531	40	352	40	83	71	119	58	124	58	79	100	234	58	312	47	88	71	119	76	625	41	41	100	169	63	874	43	360	46	280	43	824	50	307	43	546	44	667	54	0	.	281	38	158	62	83	71	312	50	116	58	713	37	0	.	38	100	0	.	653	60	230	57	0	0	1042	29	616	37	153	62	37	100	0	.	77	71	37	100	0	.	189	64	0	.	0	.	125	58	109	74	43	100	598	47	282	43	151	78	306	62	156	50	0	.	0	.	124	76	76	100	159	50	235	47	134	76	121	58	39	100	116	58	577	58	43	100	243	71	80	71	0	.	26220	6
	maple	198	53	155	50	160	61	35	100	213	81	0	.	236	41	231	41	524	34	153	50	74	100	156	61	149	100	0	.	0	.	40	100	118	76	0	.	39	100	162	61	0	.	79	71	0	0	0	0	0	.	274	43	122	74	39	100	119	58	156	80	0	.	0	.	79	71	0	.	82	71	42	100	35	100	85	100	167	100	77	71	81	71	81	71	39	100	0	.	35	100	40	100	74	100	164	50	42	100	46	100	81	71	35	100	39	100	0	.	191	82	38	100	188	60	0	.	43	100	192	66	0	.	0	.	0	.	40	100	41	100	80	71	237	47	564	37	128	100	0	.	167	80	0	.	164	71	0	.	197	53	74	100	165	71	35	100	0	.	0	.	39	100	40	100	318	35	563	33	0	.	260	56	75	71	84	71	71	100	77	100	39	100	0	.	0	.	8868	9
	ash	304	53	164	62	83	71	116	100	0	.	119	58	119	58	134	58	180	59	121	58	0	.	125	75	0	.	0	.	160	61	39	100	126	75	0	.	77	100	41	100	0	.	0	.	38	100	168	61	0	.	39	100	71	71	77	71	167	79	0	.	0	.	37	100	276	100	42	100	0	.	0	.	0	.	128	100	0	0	163	61	46	100	130	58	153	61	0	.	35	100	0	.	149	100	76	100	82	71	35	100	266	42	186	60	122	74	38	100	0	.	160	100	0	.	243	58	153	71	245	53	0	.	44	100	0	.	122	75	0	.	0	.	40	100	187	83	81	71	0	.	0	.	80	100	85	100	0	.	0	.	0	.	35	100	0	.	0	.	0	.	78	71	156	50	120	58	38	100	163	62	0	.	80	100	74	71	141	79	149	60	77	100	0	.	0	.	6983	10
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	170	79	0	.	0	.	0	.	43	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	38	100	0	.	0	.	43	100	0	.	77	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	41	100	0	.	0	.	0	.	212	100	0	.	0	.	43	100	0	.	0	.	0	.	39	100	0	.	0	.	0	.	0	.	0	.	39	100	120	58	0	.	0	.	114	100	77	71	0	.	0	.	40	100	0	.	0	0	0	.	0	.	43	100	0	.	0	.	355	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	240	47	383	54	240	47	0	.	0	.	0	.	0	.	35	100	213	100	0	.	0	.	0	.	2604	22
	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	.	78	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	.	161	63	200	52	78	100	78	100	0	.	161	50	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	39	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	796	27
	other broadleaves	395	44	339	48	109	58	35	100	0	0	81	71	1504	28	380	33	872	34	667	33	156	60	162	50	85	100	0	.	40	100	159	63	361	50	77	71	39	100	241	47	200	53	38	100	526	39	925	30	315	39	356	46	160	50	0	0	118	58	0	0	82	71	79	100	0	0	0	.	125	100	84	71	275	43	43	100	127	100	421	47	205	67	115	58	74	71	42	100	112	58	150	60	74	71	80	71	163	50	46	100	354	59	164	62	118	75	195	53	869	34	730	43	807	38	310	39	527	34	1028	32	745	33	467	37	113	75	82	71	357	71	160	50	41	100	378	55	43	100	0	0	80	71	0	0	116	58	197	66	77	71	77	71	78	71	110	74	40	100	0	.	120	74	1060	30	831	27	1284	27	0	.	0	.	155	50	0	.	77	71	71	71	197	66	39	100	0	.	22733	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	.
	total	1934	28	1476	28	1132	29	1602	31	851	43	614	37	8097	12	4813	13	8334	13	3474	18	542	49	1076	34	1020	31	0	.	507	35	858	30	1896	23	627	31	231	53	1269	27	2881	19	2379	22	3751	18	6486	12	6416	14	3626	16	1433	24	2682	25	1941	21	353	48	927	35	548	74	787	44	1146	31	785	34	956	32	2026	24	1037	39	799	36	3120	20	1599	29	1113	24	1510	33	833	40	887	38	1164	40	910	50	1368	27	1148	26	957	29	1569	26	860	34	1108	27	1003	28	2106	25	2360	23	2042	27	1141	25	801	28	3304	21	1974	25	1639	28	540	39	438	46	1563	38	797	38	670	32	1889	26	405	43	158	78	876	45	268	47	1038	51	1411	26	961	31	756	31	1020	31	563	37	235	47	85	70	678	36	6161	13	4051	15	5567	16	579	33	648	33	758	36	459	47	1193	41	630	42	676	44	269	43	0	.	151167	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	512	53	12649	56	26194	50	30996	37	13076	39	12006	41	157590	18	154630	29	76422	31	36500	40	2521	100	5022	66	39	100	0	.	1823	49	12147	36	18974	36	4591	42	77	100	11125	32	80185	40	20909	31	48370	23	157203	26	36402	32	7139	37	18207	51	59120	68	33557	46	2456	95	35371	55	3007	51	4179	52	1597	40	12814	55	23369	32	20104	28	19445	47	7330	41	21313	25	7010	42	18508	48	5174	37	2865	64	7132	43	3417	54	3796	64	13664	42	54277	57	6410	44	6338	43	2695	67	6648	47	7590	31	8123	38	7686	33	76	71	0	.	0	.	2033	44	159	61	3011	50	9810	33	3988	63	4103	37	15996	53	9772	38	6740	32	90743	60	161	100	15503	52	6579	99	11971	71	40007	33	3515	56	5665	63	3646	47	177	82	12936	55	228	100	2659	54	31522	19	46394	26	56470	18	5696	43	2992	83	11161	62	9153	41	3951	43	1893	69	10004	62	16575	86	0	.	1795589	7
	fir	11088	42	22344	95	34951	40	54775	45	7593	70	22695	47	25241	27	127869	20	177710	22	17585	27	1908	63	28881	73	5180	43	0	.	2475	77	736	95	18426	31	18724	62	0	.	5568	73	2500	70	1716	62	7077	89	2638	55	7142	89	65791	21	19075	29	27171	32	6734	41	2392	57	4622	46	10954	73	1628	90	9379	34	5892	78	2887	47	3607	60	14717	39	2843	72	444	44	4124	42	11630	38	2384	73	8263	51	11258	83	4264	68	9066	49	9266	48	25966	51	16337	34	10383	48	13353	49	5087	74	0	.	2657	70	304	88	740	100	0	.	0	.	3393	51	836	76	1757	55	1062	46	1019	77	487	54	4877	58	861	92	6520	46	15333	62	193	72	8706	49	2794	49	21792	64	10939	36	6857	56	18695	40	12663	54	4668	58	3307	50	127	74	806	71	2429	60	3509	50	19819	31	14219	63	8896	69	21495	72	65939	53	19174	32	5357	87	2758	67	8284	63	0	.	1217613	7
	pine	132	100	1127	100	43	100	78	71	0	.	0	.	1486	48	107	100	362	80	0	.	0	.	0	.	43	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7605	67	5732	64	1975	100	3949	62	24656	26	118	100	0	.	0	.	1601	85	0	.	0	.	0	.	0	.	0	.	0	.	208	100	0	.	242	100	0	.	40	100	0	.	0	.	0	.	0	.	0	.	303	100	0	.	1582	66	602	100	343	100	91	100	0	.	0	.	0	.	4600	100	536	86	0	.	574	100	0	.	0	.	0	.	0	.	333	100	0	.	80	100	842	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3088	100	0	.	0	.	789	100	0	.	0	.	0	.	0	.	4269	34	8762	51	863	48	0	.	0	.	152	100	0	.	1002	82	0	.	0	.	0	.	0	.	78314	16
	larch	244	86	3735	100	152	100	0	.	0	.	0	.	1540	59	0	.	43	100	0	.	0	.	39	100	0	.	0	.	0	.	0	.	0	.	108	100	0	.	0	.	2367	60	3930	59	1582	87	9579	34	30361	36	0	.	39	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	295	100	301	100	0	.	43	100	0	.	0	.	0	.	39	100	0	.	319	89	0	.	0	.	0	.	0	.	39	100	0	.	109	100	0	.	0	.	2292	71	3115	69	2279	46	271	55	0	.	0	.	3171	47	347	54	357	81	0	.	0	.	0	.	146	100	0	.	0	.	284	100	0	.	0	.	109	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	128	100	17667	18	25452	85	5476	54	0	.	0	.	0	.	0	.	0	.	0	.	0	.	35	100	0	.	115994	22
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2014	82	0	.	160	100	2901	84	30778	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	.	194	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	123	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19055	39	2959	75	4578	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	62763	22
	other conifers	0	.	0	.	380	82	85	100	0	0	0	.	0	0	0	.	1786	56	1055	78	0	.	40	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	734	100	0	0	0	0	0	.	0	0	0	0	101	100	0	.	109	100	0	.	779	100	0	.	0	.	0	.	0	.	83	71	0	.	0	.	1794	89	0	.	0	0	0	0	0	0	0	.	0	.	779	100	793	100	0	.	0	0	0	.	901	91	377	100	0	.	0	.	0	0	0	0	0	0	0	.	0	0	0	.	0	.	774	100	0	0	0	.	0	.	0	.	0	.	0	0	0	.	0	0	0	.	39	100	43	100	0	.	0	.	0	.	0	.	39	100	0	.	568	100	0	.	0	.	0	0	0	0	0	0	83	100	0	.	346	67	43	100	0	.	0	.	0	.	0	.	0	.	11731	25
	beech	249650	23	111084	29	127306	41	147760	39	24348	63	57098	47	328331	46	169561	23	280951	23	299207	24	101581	42	155392	31	348370	30	0	.	23521	54	239616	89	138840	47	102529	35	99	100	15527	31	20457	40	30049	34	1563	94	1460	59	0	.	308138	22	60133	40	16267	35	25940	59	33979	52	34170	37	59536	44	33334	39	154532	64	47431	64	10722	44	28600	45	126557	52	51851	61	35655	36	41080	55	134929	31	190480	28	96910	34	126626	38	71718	33	328514	36	20920	43	11088	50	36755	83	51438	47	58517	66	193185	35	0	.	3419	78	0	.	6828	36	22369	54	7031	59	7468	38	56875	68	4295	43	43252	68	142	100	3253	94	27572	49	2899	62	18636	64	90091	54	180	63	201008	40	36632	47	36284	58	134658	51	42651	32	171034	36	39117	61	49092	48	57824	66	227811	98	71017	55	4484	100	10763	71	182404	50	14937	43	73163	55	137885	52	77950	32	112264	32	47135	39	45632	37	30189	38	0	.	7461552	7
	maple	199256	44	217987	49	297412	44	151224	35	19916	50	38023	37	91499	20	35079	26	232194	27	97054	25	14365	41	100947	45	192120	51	1621	.	674	94	67464	87	88164	52	35433	61	6122	68	19545	34	4366	66	9879	52	20123	65	19246	76	1721	64	173123	29	33564	40	28088	38	5641	36	36813	58	40578	59	4716	57	33787	59	10187	53	30522	37	10169	43	17346	44	154881	51	60498	45	5136	41	13988	67	112744	38	83596	32	15214	44	46592	31	59212	42	191691	30	38624	42	17311	53	17240	82	194907	40	132224	46	33407	32	11811	52	7745	79	1279	72	6180	54	9567	53	42610	46	1501	57	3928	79	1569	84	1312	64	21257	51	2259	49	11537	52	6355	42	14207	33	47910	43	2213	100	102172	72	193560	100	2243	65	15752	37	17218	40	24372	41	61802	64	8382	59	3937	71	0	.	3048	53	2353	52	55457	68	36040	46	54253	80	91328	45	49792	53	98289	39	207792	40	59699	64	21792	72	203766	69	0	.	5069516	8
	ash	159387	26	141399	40	106136	32	105050	44	3174	61	63666	51	104194	36	151639	30	154167	29	150489	34	52255	68	75067	32	88318	41	0	.	8297	75	24726	46	51869	34	77745	50	19244	79	79680	30	16528	56	9959	47	18824	52	78822	55	15831	64	165401	20	102576	74	65156	51	97379	59	10204	64	38318	56	33799	86	41431	62	6387	72	34010	40	69775	91	56705	45	82155	42	89519	55	38251	42	24152	73	82359	49	78729	40	24635	45	54611	37	77969	39	177005	53	62041	46	18947	46	8638	49	144411	35	151930	53	107154	44	31868	50	26548	50	117677	46	7000	76	35140	52	135318	29	163516	78	15652	80	41821	50	10182	47	27126	73	4879	64	15349	43	14359	44	11062	52	33437	41	2057	54	20609	92	22076	60	7619	73	0	.	27460	38	25646	47	7672	39	41148	53	17526	60	0	.	31246	50	56265	49	45395	73	109712	35	72521	55	83190	38	50326	50	203126	35	152026	30	21015	45	43727	40	44217	45	0	.	5475623	6
	oak	1844	67	898	89	1550	71	23337	88	0	.	0	.	0	.	4189	50	20791	30	735	100	109	100	841	100	2636	85	561	.	1121	78	2619	68	0	.	1674	66	121890	79	0	.	1657	98	7547	90	0	.	2955	70	734	100	153	62	1523	100	2165	75	0	.	59739	93	0	.	2249	74	0	.	0	.	0	.	824	100	0	.	0	.	118	100	41	100	818	100	761	100	1015	77	389	100	0	.	408	75	3025	97	790	100	0	.	0	.	989	86	2183	48	1370	66	0	.	1649	94	0	.	888	96	6058	98	4794	69	6430	92	10470	89	116	75	0	.	285	100	40	100	0	.	0	0	0	.	1626	68	85	70	735	100	961	89	38555	80	0	.	102601	78	0	.	35	100	5457	46	1528	69	0	.	476	69	24639	54	13552	51	9387	66	0	.	274	100	860	89	0	.	2427	57	848	76	43	100	2596	53	0	.	513665	28
	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	.	4246	60	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	102	100	0	.	0	.	0	.	0	.	0	.	0	0	5174	58	2140	81	2788	71	5607	49	6267	42	775	59	3319	80	5629	33	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	779	100	9929	93	0	.	0	.	0	.	0	.	0	.	0	.	933	86	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	47689	24
	other broadleaves	33087	33	34676	40	28047	39	9246	42	7005	64	10524	35	142717	15	55038	22	46187	29	30125	33	9929	60	9406	47	10962	36	1621	.	7363	50	6884	38	30006	35	11505	35	7552	82	28089	30	44293	30	39427	27	49999	26	69613	21	37993	32	38270	26	10376	33	14858	50	22098	42	15339	76	18911	47	2653	70	15123	52	8445	55	5239	45	14299	44	40345	40	2974	42	10785	46	6405	38	5664	35	10763	34	8676	56	4382	49	27240	66	34166	80	10729	33	13734	32	44052	31	10356	43	14230	44	14468	38	11920	38	22644	42	14796	32	12140	37	6211	41	16911	37	17723	32	15991	50	13151	33	17426	40	15546	37	17059	40	6700	44	9157	55	15490	39	23884	32	4916	52	10340	82	41658	58	2156	53	8654	40	23511	41	14479	36	11095	41	9273	61	10129	72	4138	49	1672	100	4874	48	55287	28	79094	30	62356	24	16674	51	1919	61	9620	43	8453	43	14605	38	28529	53	3409	44	16839	57	0	.	1866305	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	.
	total	655201	23	545899	34	622170	27	522551	24	75112	31	204011	29	852598	20	698111	14	990612	14	632750	18	182669	34	375636	26	647668	31	3802	.	45275	37	354192	65	346278	27	252310	35	154984	67	160270	20	181972	25	129150	18	149672	19	352612	23	185618	19	758234	15	245492	38	212934	28	192950	33	161703	44	171970	27	116915	38	129482	35	190528	54	136287	34	132554	53	166706	24	402808	37	222943	41	107285	23	96837	40	371733	24	370053	26	152977	28	274239	27	252249	28	723825	31	160724	27	172282	28	96979	48	423273	32	375371	40	358771	28	76206	32	77827	28	144234	39	30982	29	96226	28	213742	25	204279	66	105511	41	75981	31	81496	39	70875	47	21923	32	85476	30	49736	25	81048	26	284340	31	15229	59	390431	31	264910	79	127117	37	227954	33	214780	41	257284	27	144964	35	119052	35	101764	41	229838	97	114255	44	217971	18	291337	28	488039	24	178383	55	261763	38	281636	34	462954	27	513242	26	164477	31	127365	30	322501	54	0	.	23716355	4

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. 2290449. Birmensdorf, Swiss Federal Research Institute WSL

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