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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NFI5
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 NFI2-NFI5
grid: 1.4 km grid, subgrids 1-5
state 2018/26
		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	.	2669	71	20834	94	10417	88	2806	100	2806	100	75662	27	63204	34	76273	53	1369	100	0	.	1334	100	0	.	0	.	5208	100	1191	100	2912	72	1364	100	0	.	7040	60	12282	58	0	.	20582	56	25532	43	17670	59	2739	100	6824	66	17129	59	15696	51	2732	71	34618	76	0	.	1497	100	1523	100	5612	100	4634	58	9200	66	8349	76	0	.	0	.	0	.	30935	60	8203	75	0	.	1369	100	1369	100	2739	100	2805	71	33462	56	3997	76	5379	61	0	.	9487	100	0	.	0	.	2835	100	0	.	0	.	0	.	0	.	0	.	0	.	4191	58	0	.	2890	100	5662	71	5551	61	0	.	6150	100	0	.	11647	60	0	.	4491	100	24928	45	0	.	3021	71	3971	58	0	.	0	.	1523	100	0	.	4040	58	18144	34	34065	38	4108	75	0	.	1302	100	6564	66	2657	71	0	.	2604	100	2657	71	0	.	714456	11
	fir	9815	65	6568	100	9274	71	28988	49	8206	72	7334	52	16991	49	52483	26	79436	25	8607	53	0	.	0	.	2739	100	0	.	3684	74	5628	60	17792	51	8972	60	0	.	3864	73	0	.	0	.	0	.	1391	100	1209	100	50758	43	6776	82	49045	38	4400	58	0	.	10664	46	12587	53	2703	71	2857	71	1191	100	4276	58	4763	79	9878	55	0	0	0	.	6590	60	14251	55	1369	100	4212	58	4390	58	6780	83	6916	53	9526	87	80826	62	7781	71	16031	65	25537	52	1537	100	0	.	1515	100	0	.	1391	100	0	.	0	.	0	.	0	.	1418	100	1209	100	0	.	0	.	5721	80	4335	100	5294	75	17122	78	0	.	16870	48	0	.	4223	74	14860	61	2893	71	14674	66	13393	58	4066	100	13257	89	4570	100	3906	100	0	.	8670	85	0	.	30433	48	4024	75	1302	100	22768	41	41945	63	9487	100	0	.	11859	60	0	.	879825	9
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1537	100	0	.	0	.	0	.	0	.	1386	100	0	.	1360	100	1360	100	1360	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	.	1497	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1360	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9861	38
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1274	100	4080	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5354	62
	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	.	2547	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6930	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9478	78
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4066	57	8210	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	.	1403	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1302	100	0	.	4066	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	.	19047	40
	beech	67508	47	69278	77	38080	57	87242	47	23851	78	4975	77	164789	75	51054	44	110581	34	54229	37	35506	62	21805	71	84587	54	0	.	11878	60	117585	94	24771	55	37762	46	0	.	34445	54	8642	61	43433	46	0	.	2808	71	0	.	72623	29	5262	79	2604	100	79609	76	15205	75	11654	47	1363	100	0	.	68562	65	2806	100	0	.	5612	79	36589	93	7936	84	70241	84	182847	64	93972	57	81955	43	26608	49	9553	77	39506	55	232301	51	15461	53	12627	60	4209	74	18936	56	7813	71	28912	63	0	.	40545	97	0	.	9221	86	37084	58	36251	68	2933	71	0	.	2906	71	8465	77	0	.	6046	100	64269	78	4361	100	3628	100	25071	94	0	.	44703	43	1314	100	0	0	25334	64	4059	75	171829	44	21630	88	26213	65	6734	66	3047	100	0	.	0	.	2772	100	18750	59	0	.	15194	51	70658	55	10039	73	34982	50	11954	59	5208	79	17258	58	0	.	2962031	10
	maple	148754	46	93807	72	123697	63	56151	75	23638	59	13098	100	102024	43	58157	53	115638	32	115695	41	102480	71	16266	59	189097	66	0	.	6776	100	5416	61	65303	68	16263	71	10762	100	19702	63	9829	74	24492	63	5518	50	5527	61	0	.	193264	47	6670	72	73262	57	14142	64	46964	67	28944	72	32503	75	8311	70	11873	59	25399	52	1191	100	1191	100	4391	58	86885	73	7500	57	68742	60	134536	54	109537	82	9522	66	22652	52	76096	83	198253	45	20803	65	11291	66	21258	68	112710	51	30745	58	86656	62	1391	100	8371	85	0	.	7088	60	2984	71	4698	74	2835	100	4698	100	6656	71	1445	100	11229	63	0	.	27545	81	4361	74	4634	79	33755	89	6776	100	62055	74	0	.	1334	100	9662	55	5435	61	14277	44	114393	60	6640	60	61343	69	0	.	0	.	2907	100	7048	66	12399	53	11932	66	39236	80	3906	74	239845	64	118491	38	52482	57	15625	100	221185	67	0	.	3902043	10
	ash	88484	55	16263	100	9327	55	31676	43	0	.	52981	66	56174	42	141821	72	67316	40	60982	36	86216	75	29807	52	124072	41	1369	.	42914	73	5299	50	16429	50	27345	79	9487	100	51758	46	19405	100	24307	57	30528	100	47583	56	6853	68	172220	35	1355	100	73798	47	9463	42	0	.	13710	59	41343	100	9481	51	1523	100	19890	73	0	.	15181	63	36566	51	24537	71	24422	57	99480	63	39829	50	23261	40	0	.	19541	51	28745	51	106679	53	19252	73	2813	100	7781	61	107809	46	53625	58	72383	46	4082	58	44716	73	195457	61	2547	100	1515	100	73015	46	16337	71	15662	90	48110	52	20207	75	18734	78	2858	100	14865	76	8637	63	3628	100	13510	91	1355	100	5451	79	0	.	0	.	1334	100	12552	60	15064	100	4612	100	42120	55	18298	71	0	.	4066	100	226049	93	22901	48	135666	57	26534	48	13475	53	16050	58	112011	41	63734	47	6723	60	1314	100	30283	48	0	.	3316552	10
	oak	27256	82	2627	100	0	.	0	.	0	.	0	.	0	.	2705	71	8314	70	1363	100	0	.	1363	100	34071	100	0	.	3959	74	3941	100	0	.	0	.	46077	57	0	.	0	.	0	.	0	.	0	.	0	.	1369	100	0	.	1302	100	0	.	5989	100	0	.	1334	100	0	.	0	.	1633	100	0	.	0	.	1403	100	1633	100	0	.	2806	71	4161	75	0	.	0	.	0	.	17931	92	12325	100	0	.	0	.	0	.	0	.	8131	100	8131	100	0	.	2835	100	0	.	0	.	18794	100	23390	88	0	.	3132	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1314	100	0	.	1537	100	41343	91	0	.	106787	66	0	.	4228	75	18848	82	2616	71	0	.	1537	100	19120	43	13653	51	11562	63	0	.	0	.	0	.	0	.	13510	91	18230	87	1302	100	27051	90	0	.	530615	20
	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	.	1566	100	1209	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	.	1566	100	1566	100	6265	79	0	.	0	.	1391	100	1418	100	0	.	0	.	0	.	1209	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	.	16190	38
	other broadleaves	2696	71	10592	79	10842	79	5690	63	1403	100	1191	100	103458	28	15077	47	20139	45	26753	58	31740	75	8089	71	1334	100	0	.	22018	71	9508	64	26278	59	8131	100	28460	95	19464	62	41021	43	19701	42	37925	38	40802	32	22750	39	19058	49	2546	71	11668	51	25506	47	8793	63	10585	59	1334	100	13923	80	16412	75	2594	71	4763	79	22714	60	0	.	3125	71	6637	60	2594	71	8737	61	2726	100	0	.	4164	73	2676	71	4108	100	8165	53	12969	57	4763	61	12718	54	6776	66	2657	71	2781	100	10315	60	5238	78	0	.	2835	100	6265	100	1418	100	0	.	2808	71	4250	75	14306	51	2815	71	9240	47	13852	57	10303	47	0	.	1355	100	12572	69	0	.	0	0	35049	59	0	.	8980	86	1355	100	0	.	0	.	0	.	1355	100	112575	79	79336	40	30302	46	2705	71	1403	100	5208	61	3035	71	5379	61	44904	94	0	.	5326	50	0	.	1175038	11
	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	344513	40	201803	51	212054	47	220164	33	59903	46	82384	63	519099	32	384500	39	481761	21	277208	26	255942	53	78664	43	435899	42	1369	.	96438	47	150105	75	153486	43	99836	38	94786	49	136272	33	92565	37	111933	34	95913	40	127843	27	57679	29	512032	27	29433	45	228808	32	148818	48	79682	58	110175	38	90463	76	35916	53	102750	47	59124	53	14864	38	58661	35	98579	44	124115	72	108799	59	363059	46	326421	41	227052	49	40342	37	61670	40	173103	50	563322	48	76012	42	153987	39	49788	46	274886	40	132627	45	213829	42	8254	53	108297	71	205097	58	21813	44	69476	48	143620	33	23522	59	24883	78	63315	43	39767	47	44270	58	14609	55	128511	47	41097	38	27486	33	95608	55	10800	66	153298	42	2851	71	51390	77	112663	39	131726	56	227844	41	163582	48	97886	44	102247	52	9140	100	10865	55	366051	64	152525	27	249673	36	75713	38	73331	50	98428	42	394261	48	280699	34	143780	44	26054	64	315619	52	0	.	13540490	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	.	6701	92	14281	65	17832	95	1515	100	505	100	49209	28	31377	38	11673	80	6001	55	2110	80	480	100	0	.	0	.	0	.	2334	64	6015	52	938	100	0	.	1478	58	35763	51	1488	58	18368	39	19450	46	10399	31	493	100	7431	51	43925	76	11571	52	0	.	2733	83	1440	100	960	100	480	100	3521	87	4613	52	2483	60	7401	46	3099	72	2955	59	429	100	8399	50	984	71	493	100	3434	59	0	.	0	.	1959	100	2007	50	2192	83	473	100	0	.	1464	74	1990	62	0	.	1566	74	0	.	0	.	0	.	0	.	0	.	0	.	3467	55	998	100	2066	62	6572	62	3536	47	1348	58	12114	96	0	.	0	.	0	.	5880	70	16028	64	0	.	539	100	2901	69	488	100	2767	100	0	.	488	100	9099	44	14711	47	11377	70	2469	82	0	.	1875	79	1708	78	2439	100	0	.	7070	87	488	100	0	.	466841	12
	fir	2013	50	473	100	11373	79	26592	57	429	100	0	.	7355	48	35954	32	46697	36	548	100	0	.	1479	100	491	100	0	.	0	.	974	71	2250	50	1240	100	0	.	490	100	0	.	499	100	0	.	0	.	0	.	19686	46	5309	51	10077	60	920	71	0	.	0	.	0	.	0	.	1509	73	0	.	0	.	982	100	8513	58	0	0	520	100	429	100	1362	58	0	.	981	71	539	100	1406	100	3496	65	0	.	1010	71	3625	52	3888	89	5928	65	1107	100	0	.	1001	100	0	.	0	.	0	.	0	.	510	100	0	.	0	.	499	100	0	.	0	.	1488	75	520	100	857	71	488	100	0	.	3931	89	0	.	5936	91	0	.	1097	100	3909	87	0	.	0	.	1968	61	0	.	488	100	499	100	1040	100	1476	76	2366	82	0	.	2813	71	8275	95	7695	67	1464	100	0	.	3750	100	0	.	262214	13
	pine	0	.	0	.	0	.	0	.	0	.	0	.	490	100	0	.	473	100	0	.	0	.	0	.	0	.	0	.	0	.	938	100	0	.	0	.	0	.	0	.	5489	100	0	.	979	100	0	.	1959	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	.	539	100	0	.	0	.	469	100	0	.	0	.	0	.	0	.	5386	100	998	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17719	46
	larch	0	.	553	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1040	100	0	.	0	.	6534	57	4554	54	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	458	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	.	956	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14096	33
	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	.	4441	43	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	917	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	.	1488	58	490	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7335	32
	other conifers	0	.	0	.	0	.	942	71	0	.	0	.	0	.	469	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1410	58
	beech	51304	39	13804	72	33043	76	24638	37	37927	78	5755	49	40177	37	35082	32	97018	36	75009	40	91472	73	12236	44	49694	53	0	.	6113	85	45582	66	23936	60	50675	56	0	.	11274	35	11178	68	14792	61	435	100	0	.	0	.	77767	30	2439	100	2416	65	33028	87	8422	66	2194	61	16625	53	4395	53	43024	69	7576	94	2143	100	2435	53	7885	43	6566	100	4481	57	9812	57	37062	38	56567	40	14678	57	21527	62	37181	46	34182	45	435	100	3032	62	4240	72	6751	50	10820	53	26509	49	0	.	0	.	0	.	1128	100	6564	92	18884	85	959	71	0	.	545	100	13656	72	0	.	0	.	13856	82	5757	100	0	.	19195	77	0	.	23759	49	2837	100	3116	59	42853	60	19060	55	32466	40	4023	49	16591	61	20883	89	986	100	469	100	0	.	0	0	4388	58	2020	79	16790	53	2420	67	24844	48	34890	40	16971	50	10313	67	8005	59	0	.	1583566	8
	maple	12483	44	55598	77	25390	87	12244	61	1439	58	6337	62	24482	34	12519	38	32605	39	8818	43	37946	97	984	71	20211	70	1479	.	1404	76	8529	83	24787	86	4340	56	0	.	1469	74	979	100	1047	100	0	.	510	100	458	100	29660	35	976	71	6872	48	429	100	1097	100	1645	100	0	.	1617	74	3002	70	505	100	857	100	429	100	16102	91	12154	58	0	0	0	.	6083	46	6400	55	0	.	3057	53	6811	66	24586	84	520	100	982	100	505	100	34734	70	15058	65	7089	49	510	100	501	100	1021	100	917	100	1004	71	0	.	0	.	0	.	1021	100	1959	100	1013	71	1029	100	2240	81	3523	48	620	100	938	100	0	.	493	100	0	.	0	.	3017	56	1931	61	2116	62	23906	100	2424	83	26872	86	0	0	938	100	0	.	520	100	4454	53	11719	100	2508	66	2401	72	23212	52	28920	51	22098	57	1875	61	22598	63	0	.	675524	13
	ash	5914	72	10224	65	5348	92	7048	52	1010	100	1439	76	9207	40	23635	49	25120	41	5446	74	9449	53	491	100	9804	67	0	.	4006	79	9749	79	2525	44	1875	79	0	.	6595	59	2930	86	9298	78	490	100	3712	62	1502	100	12318	40	993	71	5795	61	14966	75	971	71	548	100	0	.	0	.	0	.	1017	72	620	100	3536	100	10522	75	2960	62	1370	58	1010	100	6944	51	1965	61	1930	50	3491	48	3686	72	3932	47	3865	81	505	100	1010	100	24713	58	14579	75	9053	42	458	100	5021	90	29848	83	917	100	545	100	8457	69	0	.	2255	100	6654	66	4353	100	1570	100	0	.	499	100	3483	100	0	.	10777	72	0	.	1477	75	469	100	0	.	480	100	1440	74	0	.	2129	81	3358	72	9867	68	0	.	1952	100	3983	66	490	100	7511	47	2930	58	8707	64	1406	100	15177	58	14158	68	6770	66	1875	79	2833	71	0	.	450966	10
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	588	100	1595	58	491	100	0	.	0	.	0	.	0	.	0	.	469	100	0	.	0	.	12685	100	0	.	499	100	490	100	0	.	523	100	0	.	0	.	488	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	.	488	100	938	100	0	.	1021	100	0	.	0	.	0	.	0	.	0	.	0	.	917	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	473	100	0	.	553	100	480	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	469	100	1469	74	3486	55	2069	80	0	.	0	.	0	.	0	.	957	71	0	.	0	.	0	.	0	.	31146	43
	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	.	564	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	.	510	100	0	.	0	0	0	0	510	100	510	100	0	.	0	.	510	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	.	2605	44
	other broadleaves	7536	44	18509	62	3807	59	469	100	0	.	1791	77	44431	31	23102	39	13724	42	7092	58	5960	84	1461	75	984	71	1972	.	3432	87	2098	50	17975	97	7673	42	7318	58	2751	56	12415	43	14011	86	9026	40	5665	45	15179	65	13797	37	0	.	4535	51	11898	38	4473	78	5484	81	0	.	3434	100	4627	53	505	100	2908	69	2397	63	1022	71	4506	48	1503	58	0	.	3898	49	3934	59	0	.	2005	61	0	.	0	.	4009	68	5059	47	934	71	7500	46	11011	52	2908	58	1886	78	2586	59	2993	62	0	.	1991	60	564	100	1479	58	1585	74	1074	71	3210	71	2610	66	1029	100	1518	58	2002	61	3491	58	429	100	1419	100	480	100	0	.	1019	71	15546	55	3416	51	1999	61	7165	55	0	.	553	100	0	.	0	.	13525	45	8175	53	10924	41	4314	70	976	100	1464	100	2185	71	3358	47	4719	67	2813	62	2401	60	0	.	445628	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	.
	total	79250	33	105862	65	93242	46	89765	35	42320	71	15827	42	175351	18	162727	19	228904	24	103406	35	146938	64	17131	39	81184	48	3451	.	14956	49	70673	48	77487	48	66740	49	20003	78	24057	31	70294	35	41624	47	29299	30	36959	37	38491	29	153721	22	17637	38	73621	52	72812	45	14963	47	12604	63	18065	49	10406	47	52642	58	13124	61	11141	38	12261	39	51444	48	29286	44	10828	35	11680	51	63749	29	69849	35	18082	50	34054	45	49084	43	66196	41	10788	53	12595	36	12506	44	78059	47	57884	36	49067	40	5355	55	10129	57	36804	68	2962	73	10615	69	28416	60	2949	41	3840	66	10722	54	27145	51	6191	63	4124	59	26173	56	18820	44	6317	48	43940	49	1891	100	30140	45	3859	76	16431	49	78462	38	26944	43	41030	34	40594	68	22861	53	62912	53	986	100	4802	65	36404	29	29910	31	42199	30	25818	69	28981	41	12379	42	75402	36	92417	39	52022	39	23945	47	40075	47	0	.	3959051	5
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	.	1365	68	1452	67	1600	59	518	76	889	82	19802	24	9200	26	4999	37	1633	48	1164	100	0	.	0	.	0	.	1177	62	2262	54	2168	51	1439	52	0	.	2292	86	13154	47	1602	51	8457	49	9611	39	3870	43	353	100	718	61	2382	63	4613	31	0	.	197	100	691	100	543	58	691	79	884	100	3920	47	1048	41	1030	47	2609	56	1818	51	490	73	1119	54	883	66	703	100	727	63	0	.	0	.	551	58	952	52	1138	83	1064	47	351	100	1539	55	709	50	1853	83	551	57	0	.	0	.	0	.	0	.	184	100	184	100	885	66	719	100	359	100	4589	64	2153	49	662	63	1947	84	0	.	544	58	0	.	3052	84	4020	42	173	100	372	71	199	100	0	.	2538	87	0	.	0	.	3927	42	6735	43	4633	46	2354	58	0	.	675	79	1021	70	537	73	0	.	1384	73	176	100	0	.	166804	8
	fir	0	.	598	74	5630	93	4480	51	0	.	223	100	1034	54	10791	42	24136	36	1448	47	0	.	7454	100	177	100	0	.	182	100	0	.	909	62	446	100	0	.	176	100	0	.	0	.	180	100	180	100	0	.	4753	30	1061	48	2013	57	1680	40	197	100	197	100	346	100	0	.	197	100	0	.	0	.	530	74	2390	59	0	.	353	100	0	.	0	.	0	.	350	71	0	.	177	100	1640	63	1802	89	0	.	2702	49	1405	71	851	82	199	100	0	.	541	100	180	100	180	100	0	.	0	.	893	61	0	.	184	100	176	100	188	100	187	100	532	58	0	.	377	72	527	100	0	.	173	100	199	100	2119	100	0	.	561	76	1308	67	0	.	176	100	797	100	0	.	0	0	359	71	738	80	2010	61	769	60	0	.	1013	74	3864	100	1308	72	0	.	0	.	506	100	0	.	100755	15
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	176	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	719	61	0	.	353	100	0	.	4063	51	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	529	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	844	81	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	194	100	0	.	0	.	169	100	0	.	0	.	0	.	0	.	1234	71	898	82	353	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9531	28
	larch	0	.	399	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	177	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1237	74	0	.	176	100	1841	59	3253	44	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	184	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	537	73	0	.	0	.	0	.	0	.	2385	59	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10189	25
	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	.	1959	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	.	896	53	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2855	29
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	0	0	.	0	.	0	.	0	.	199	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	177	100	0	.	199	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	.	184	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	.	176	100	0	.	0	.	506	100	0	.	170	100	0	.	1612	42
	beech	35051	28	14067	37	9659	38	17095	38	3526	53	7127	71	18926	41	22564	25	40593	30	37586	42	12465	64	43266	52	17166	56	0	.	1526	79	4880	90	16243	58	28648	79	0	.	3974	36	13527	74	6764	48	2794	95	196	100	0	.	47782	44	6398	53	3352	55	13729	61	4540	54	3554	51	4956	46	4371	50	8007	49	19274	93	3221	75	3112	44	8982	52	359	71	3584	49	2724	52	21546	39	23347	35	13506	47	21299	49	30967	44	19707	45	627	79	4722	68	3193	47	3588	52	5070	49	59190	42	0	.	184	100	0	.	901	72	4055	95	570	58	4027	56	698	71	564	58	30007	92	188	100	188	100	2037	100	565	100	154	100	2505	56	176	100	9214	53	340	100	16240	62	7120	36	13318	40	19836	43	1448	42	10385	72	2946	68	1597	100	520	58	0	.	353	100	1822	71	7908	65	15410	62	5004	57	36161	51	26801	34	7349	43	8287	49	11584	59	0	.	952810	8
	maple	4446	34	2603	41	14919	58	10524	44	182	100	4645	65	10702	35	8818	32	22715	49	6100	58	2664	70	876	53	531	74	177	.	364	100	1881	67	1802	51	1351	43	176	100	333	71	187	100	1058	100	565	100	0	.	0	0	12712	38	2106	50	2497	44	816	60	762	62	197	100	522	74	350	71	349	71	182	100	0	.	154	100	3247	80	3937	74	187	100	154	100	747	60	2659	64	3008	95	2051	69	1613	60	4945	77	1085	70	764	50	212	100	4771	68	4614	47	3668	51	0	.	0	.	551	100	203	100	367	100	0	.	184	100	0	.	0	.	490	73	2261	100	0	.	708	63	1252	55	446	100	1989	82	0	.	885	81	0	.	1143	71	173	100	1210	71	1534	79	524	74	1594	100	520	58	177	100	351	100	0	.	529	58	2641	55	9191	89	8629	69	2221	55	13590	58	17097	55	2035	61	1526	79	3881	83	0	.	233832	11
	ash	709	61	344	71	2986	100	847	53	0	.	0	.	2572	64	8512	82	3657	50	1454	49	372	71	1767	65	0	.	0	.	0	.	545	100	0	.	351	71	878	100	2465	55	1793	91	1652	64	353	100	176	100	180	100	527	58	0	.	176	100	9267	96	0	.	0	.	0	.	346	70	0	.	545	74	0	.	1058	59	563	58	0	.	0	.	212	100	182	100	177	100	526	75	2161	55	1128	71	177	100	180	100	223	100	0	.	340	100	2628	94	1732	72	330	70	0	.	367	100	0	.	367	100	977	61	0	.	0	.	184	100	784	100	376	71	0	.	0	.	712	50	182	100	1155	59	0	.	177	100	0	.	194	100	0	.	173	100	0	.	176	100	0	.	338	100	0	.	176	100	719	71	0	.	1973	55	177	100	1400	77	0	.	2609	66	1519	45	692	71	520	75	338	100	0	.	70372	19
	oak	0	.	0	.	338	100	170	100	0	.	0	.	0	.	169	100	888	45	0	.	194	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3843	78	0	.	176	100	0	.	0	.	0	.	0	.	0	.	0	.	199	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	177	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	170	100	399	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	399	100	0	.	0	.	199	100	0	.	0	.	0	.	0	.	169	100	0	.	0	.	0	.	0	.	353	100	1763	81	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9605	36
	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	.	541	100	571	58	716	50	570	58	0	.	0	.	393	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	199	100	0	.	0	.	0	.	0	.	0	.	0	.	188	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3179	29
	other broadleaves	1801	49	4861	49	851	45	1970	41	154	100	545	57	18772	24	11312	38	6967	47	5016	43	4150	67	530	57	532	100	177	.	351	100	2088	48	3739	46	2005	53	6640	76	1761	45	4825	63	1606	46	1258	38	1649	40	2624	51	4665	34	703	71	872	59	4894	34	353	100	790	61	353	100	388	100	2827	73	1086	85	309	100	3616	55	2988	53	1539	75	1757	59	336	71	1144	41	0	0	705	61	1077	70	3233	71	6033	79	543	58	1170	46	446	100	940	61	2749	43	1743	45	2074	61	1616	72	919	72	368	71	533	58	1421	65	1654	57	570	74	0	0	2390	59	1306	62	1391	64	367	71	1289	43	5372	50	575	76	0	0	367	71	598	74	4051	60	716	60	1222	55	519	100	1877	69	170	100	538	58	0	0	351	100	3917	47	3030	48	7664	41	4396	71	1242	74	1223	74	399	71	1548	46	7532	73	1033	63	1135	76	0	.	198813	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	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	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	42008	27	24237	33	35835	38	36686	27	4381	52	13430	59	71808	18	71366	19	104131	21	53237	33	21186	46	53892	46	18406	54	355	.	3799	47	11657	49	24861	42	34240	67	11537	63	11001	39	35619	36	12682	32	14136	38	13654	31	15949	22	70970	32	10985	38	11690	34	34999	37	5853	44	4936	48	6868	41	5999	41	12072	42	21970	82	7450	45	9695	32	19199	33	8444	47	7698	34	3916	49	24738	36	27066	32	18799	42	27314	43	37118	44	32502	36	5318	43	7831	44	7690	36	12278	39	16661	35	68071	39	3113	48	4194	48	4137	43	2223	40	6038	67	3722	32	6757	39	1452	46	1508	39	34731	80	5037	69	2126	47	8233	49	5971	32	7195	46	9097	43	176	100	11361	46	1337	59	26799	54	12223	29	16656	40	23568	41	5297	38	12325	64	7677	62	1775	100	1398	77	13790	28	14045	29	21283	26	24795	45	26680	44	10311	43	57643	42	48810	31	18114	38	12751	44	17789	50	0	.	1760357	5
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	69	100	505	63	206	74	1006	48	181	100	552	100	9733	21	2597	31	3098	32	1066	30	303	100	270	70	0	.	0	.	202	76	3021	40	657	48	633	47	0	.	1655	72	6875	36	1245	56	3142	37	4682	40	1191	37	138	71	259	71	1286	42	2279	32	68	100	1125	87	0	.	649	67	276	61	428	53	967	52	787	49	643	63	1908	53	1199	38	181	100	720	41	276	100	137	100	66	100	524	66	0	.	212	58	900	46	538	56	532	43	833	76	596	65	1111	47	835	44	788	55	0	.	0	.	0	.	214	58	0	.	287	100	476	75	636	53	850	47	1138	56	778	56	667	55	372	60	0	.	583	60	0	.	372	84	1127	34	338	72	211	73	156	70	0	.	536	88	77	100	0	.	3004	30	2467	37	1802	30	381	71	0	.	378	84	202	74	212	58	0	.	66	100	66	100	0	.	80545	7
	fir	0	.	222	76	132	100	1404	68	0	.	0	.	192	58	2712	32	4328	28	951	40	0	.	901	100	346	66	0	.	337	82	198	100	593	44	216	58	0	.	61	100	61	100	0	.	0	.	214	58	0	.	2852	26	965	51	775	47	461	50	0	.	77	100	203	100	0	.	137	71	71	100	87	100	399	58	137	71	0	.	0	.	223	58	66	100	69	100	137	71	267	78	468	74	279	61	973	86	71	100	710	54	270	71	203	75	137	100	0	.	77	100	0	.	0	.	0	.	0	.	925	57	0	.	72	100	278	61	0	.	0	.	211	74	0	.	230	73	0	.	0	.	69	100	144	71	212	58	769	53	364	60	858	52	0	.	274	100	69	100	0	.	203	75	70	100	363	83	1141	53	655	52	0	.	66	100	0	.	156	100	0	.	0	.	0	.	0	.	30106	9
	pine	0	.	156	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	212	58	0	.	0	.	0	.	2899	50	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	138	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	322	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	76	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	621	48	559	77	344	82	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5327	30
	larch	0	.	311	100	0	.	0	.	0	.	0	.	69	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	207	100	0	.	0	.	487	43	1042	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	.	387	85	64	100	201	74	0	.	0	.	0	.	72	100	72	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	66	100	0	.	0	.	0	.	0	.	1194	33	69	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	66	100	0	.	4307	19
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	207	100	0	.	0	.	0	0	971	53	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	64	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	.	421	52	281	61	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1943	32
	other conifers	0	.	78	100	0	.	78	100	0	.	0	.	0	.	0	.	69	100	0	.	0	.	0	.	0	.	0	.	156	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	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	.	0	.	66	100	0	.	0	.	0	.	0	.	0	.	0	.	446	47
	beech	4013	39	3256	53	1006	52	1901	57	334	60	158	71	1858	38	2245	26	4281	30	1152	35	675	71	619	79	1091	49	0	.	60	100	203	74	547	50	156	100	0	.	332	54	219	74	777	52	184	100	77	100	0	.	1383	53	1224	40	766	50	1084	62	488	65	386	66	344	67	1014	67	524	55	71	100	596	56	345	59	486	43	71	100	1527	47	1131	55	874	42	1168	40	1364	50	2999	45	578	51	933	57	638	61	342	53	213	100	425	52	332	53	1374	36	0	.	70	100	0	.	494	62	225	75	215	57	2503	58	216	58	374	59	69	100	221	100	61	100	290	61	263	71	60	100	0	.	0	.	371	45	210	58	295	50	1080	59	997	42	206	58	278	60	199	100	69	100	208	100	274	79	0	.	139	71	74	100	850	84	135	71	330	82	879	46	1150	43	926	79	864	60	467	62	0	.	62889	7
	maple	1062	45	942	44	593	90	802	64	0	.	461	52	2450	30	344	53	671	42	212	73	349	59	68	100	276	61	0	.	71	100	0	.	121	71	0	.	0	.	207	74	135	71	138	100	142	71	294	62	0	.	1889	32	208	75	0	.	209	58	740	54	0	.	0	.	0	.	77	100	0	.	0	.	158	71	203	74	87	100	0	.	121	100	0	0	276	79	347	100	409	63	0	.	497	76	211	100	69	100	0	.	670	58	78	100	549	88	0	.	0	.	0	.	150	71	0	.	70	100	72	100	0	.	0	.	69	100	74	100	0	.	0	.	350	83	0	.	207	58	0	.	362	73	0	.	152	70	0	.	137	71	145	71	218	100	78	100	69	100	0	.	146	71	0	.	138	71	633	40	0	.	831	56	264	79	343	66	272	79	0	.	269	61	69	100	0	.	21248	9
	ash	297	80	78	100	66	100	66	100	0	.	87	100	383	47	993	73	224	76	277	100	76	100	138	100	0	.	0	.	0	.	69	100	349	100	0	.	137	100	275	61	0	.	70	100	0	.	74	100	0	.	301	61	135	71	0	.	152	71	0	.	0	.	135	100	0	.	0	.	568	100	87	100	0	.	266	100	0	.	61	100	0	.	69	100	69	100	68	100	66	100	66	100	0	.	0	.	87	100	0	.	533	88	66	100	266	79	0	.	72	100	72	100	0	.	79	100	159	100	144	70	0	.	144	100	0	.	0	.	0	.	74	100	142	71	0	0	0	.	0	.	0	.	78	100	76	100	0	.	0	.	0	.	69	100	0	.	0	.	0	.	69	100	421	85	0	.	142	71	71	100	474	62	0	.	66	100	132	71	0	.	66	100	66	100	0	.	9269	15
	oak	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	78	100	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	.	66	100	78	100	0	.	0	.	72	100	0	.	0	.	0	.	0	.	144	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	78	100	140	100	69	100	69	100	0	.	0	.	69	100	0	.	0	.	78	100	0	.	0	.	0	.	1018	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	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	72	100	0	.	0	.	159	70	144	100	151	71	79	100	0	.	72	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	.	676	36
	other broadleaves	497	65	705	40	0	.	466	51	0	.	71	100	3409	23	862	41	1811	32	421	47	0	0	345	66	145	71	0	.	69	100	296	60	1538	57	343	52	146	71	416	57	131	71	0	0	354	52	1588	71	1288	45	1478	43	198	74	582	58	730	47	276	100	154	70	68	100	495	48	69	100	211	75	0	0	336	60	513	48	562	57	74	100	71	100	83	100	413	47	0	0	68	100	351	66	207	74	209	75	400	60	83	100	78	100	494	56	69	100	1446	56	710	82	72	100	357	83	201	74	872	56	1413	44	883	54	144	100	830	71	359	53	389	68	358	53	356	60	814	47	138	71	137	71	368	67	156	100	354	60	135	70	0	.	76	100	198	58	488	75	78	100	0	0	66	100	1230	36	693	42	3247	54	623	89	135	71	66	100	430	61	335	53	156	100	478	74	380	84	0	.	42344	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	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	0	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	5939	33	6254	35	2003	44	5724	32	514	66	1330	56	18093	16	9753	18	14559	17	4079	23	1403	52	2342	54	1859	38	0	.	895	49	3787	35	3803	32	1425	37	284	61	2946	46	8047	32	2229	38	3822	32	7415	31	7391	24	8040	20	2988	29	3409	29	4915	26	1571	39	1742	61	750	69	2159	44	1083	40	1349	51	1875	38	2025	31	2248	33	2628	44	2862	33	1726	53	1812	29	2271	33	2053	40	3876	41	1988	39	1916	43	2243	48	1869	35	1544	41	2575	38	2083	41	2991	34	3016	39	1901	37	1519	42	1160	41	649	46	1467	40	5565	37	1170	43	1091	39	1722	64	1290	39	1300	40	2070	39	1888	40	1772	40	717	51	137	71	1753	40	587	54	1461	45	3187	37	1835	32	1495	37	985	37	1040	51	819	70	285	78	836	52	7102	22	4776	25	7451	28	2582	46	1575	43	1238	43	1919	42	2257	34	1160	66	1743	45	1114	50	0	.	260118	4
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	341	72	302	81	269	71	212	58	0	.	294	76	3915	21	1507	31	2467	32	571	46	0	.	203	100	0	.	0	.	0	.	784	43	466	42	631	71	0	.	346	60	3142	35	1258	38	2335	27	2347	30	1304	40	0	.	255	60	869	43	911	40	68	100	146	71	0	.	0	.	274	71	147	72	721	49	343	54	635	56	525	53	1410	41	131	71	378	62	206	58	0	.	0	.	524	66	0	.	216	58	350	66	422	52	332	66	137	71	66	100	346	44	748	54	643	51	0	.	0	.	0	.	150	71	0	.	215	100	551	71	213	74	422	58	358	67	287	79	295	58	147	71	66	100	68	100	0	.	0	.	646	36	203	74	68	100	389	82	0	.	146	71	0	.	0	.	1392	28	968	35	998	35	240	78	69	100	156	100	297	50	0	.	0	.	0	.	0	.	0	.	41842	6
	fir	0	.	66	100	66	100	401	70	0	.	71	100	217	75	1427	35	1506	35	781	52	277	79	69	100	207	74	0	.	66	100	0	.	216	58	0	.	0	.	61	100	0	.	0	.	70	100	144	71	0	.	1744	29	138	71	526	58	809	44	0	.	223	58	203	100	214	58	361	71	60	100	87	100	200	58	71	100	69	100	146	71	402	84	0	.	0	.	206	58	66	100	69	100	142	71	635	78	69	100	252	60	133	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	144	71	356	72	0	.	0	0	335	45	0	.	73	100	70	100	69	100	0	0	0	.	0	.	0	.	0	.	77	100	0	.	219	76	455	86	0	.	343	82	213	58	0	.	69	100	70	100	219	100	566	50	71	100	0	.	66	100	66	100	233	100	0	.	0	.	0	.	0	.	16189	10
	pine	0	.	156	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	70	100	0	.	0	.	0	.	1243	42	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	.	451	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	217	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	487	47	418	71	69	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3189	26
	larch	0	.	156	100	0	.	0	.	0	.	0	.	0	.	0	.	78	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	174	100	0	.	0	.	208	74	0	.	0	.	414	58	353	53	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	60	100	0	.	68	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	72	100	193	74	0	.	0	.	0	.	0	.	359	82	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	78	100	991	32	289	50	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3492	19
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	207	100	0	.	0	.	0	0	764	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	.	140	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1111	35
	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	69	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	147	71
	beech	944	40	524	56	361	60	948	46	142	100	0	.	951	42	1496	29	1385	28	1260	31	145	71	408	47	612	62	0	.	0	.	161	71	213	57	233	100	0	.	70	100	219	74	0	0	0	.	153	100	0	.	1129	34	679	47	371	64	165	70	0	.	154	70	135	70	204	74	215	58	0	.	69	100	138	70	0	.	131	71	833	54	381	68	343	52	958	44	270	100	721	73	465	85	0	.	290	62	0	0	131	71	146	71	0	.	539	43	0	.	70	100	0	.	791	66	284	61	72	100	851	44	800	51	292	61	0	0	74	100	135	71	73	100	0	.	0	.	156	100	0	.	0	.	144	71	221	76	822	45	357	52	138	100	205	74	156	100	78	100	69	100	69	100	0	.	0	0	0	0	154	71	0	.	135	71	487	62	590	51	0	.	198	58	467	55	0	.	26582	7
	maple	662	46	282	50	66	100	132	100	0	.	0	.	1036	35	174	100	200	58	273	50	69	100	137	71	207	74	0	.	0	.	0	.	0	.	0	.	0	.	344	53	0	.	69	100	442	100	0	.	0	.	661	46	0	0	146	71	60	100	223	76	77	100	203	100	206	75	0	.	0	.	0	.	0	.	0	.	138	100	0	.	154	71	0	.	0	.	0	.	66	100	0	.	0	0	0	.	0	0	0	0	144	71	78	100	274	71	70	100	72	100	0	.	141	100	0	.	0	.	0	0	79	100	0	.	69	100	0	.	0	.	70	100	0	.	0	.	66	100	0	.	76	100	0	.	143	71	0	.	270	61	0	.	447	74	66	100	0	.	0	.	146	71	70	100	208	58	290	49	0	.	0	.	132	71	87	100	66	100	69	100	206	74	0	.	0	.	9367	12
	ash	203	74	66	100	0	.	0	.	0	.	0	.	198	76	199	100	215	58	69	100	0	.	0	.	0	.	0	.	0	.	0	.	436	100	137	100	0	.	0	.	0	.	0	.	0	.	138	100	0	.	149	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	69	100	0	.	0	.	0	.	68	100	0	.	0	.	0	.	70	100	0	.	0	.	69	100	0	.	132	100	64	100	0	.	0	.	0	.	79	100	150	71	77	100	0	.	0	.	0	.	0	.	0	.	0	.	487	86	60	100	0	.	0	.	0	.	0	.	77	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	284	61	0	.	70	100	71	100	0	.	0	.	0	.	0	.	66	100	0	.	0	.	0	.	3702	22
	oak	76	100	156	70	0	.	66	100	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	78	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	138	100	0	.	78	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	76	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	72	100	0	.	0	.	0	0	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	743	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	70	100	350	66	138	100	0	.	0	.	0	.	0	.	0	.	311	100	78	100	0	.	0	.	2428	37
	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	.	70	100	0	0	72	100	151	71	0	.	0	.	72	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	.	365	45
	other broadleaves	276	100	511	47	69	100	265	50	0	.	71	100	791	37	496	47	555	43	491	55	69	100	0	.	0	0	0	.	0	.	87	100	322	63	69	100	0	.	413	47	138	100	69	100	69	100	1324	61	335	65	414	47	265	61	156	70	567	65	0	0	154	100	0	.	76	100	0	.	276	100	87	100	225	58	71	100	402	70	69	100	0	.	69	100	0	.	0	.	68	100	215	58	69	100	69	100	69	100	83	100	66	100	377	61	203	58	409	53	812	52	280	80	639	62	366	65	223	58	703	51	302	62	0	0	130	71	70	100	216	75	70	100	74	100	363	80	132	100	206	100	73	100	156	70	68	100	135	70	69	100	204	74	78	100	144	71	0	.	0	.	0	.	1052	32	761	47	703	34	71	100	69	100	278	60	135	71	0	0	0	0	137	100	78	100	0	.	19674	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
	total	2501	30	2218	31	832	44	2025	35	142	100	436	56	7108	17	5300	18	6406	18	3445	24	560	55	816	45	1026	44	0	.	66	100	1031	37	1653	34	1322	46	0	.	1234	33	3984	30	1396	37	2915	27	4520	25	4000	22	4235	21	1336	33	2302	37	2513	27	291	63	755	40	540	70	700	44	850	41	484	62	965	45	906	33	777	56	1265	34	2527	30	1068	46	850	36	1164	38	611	59	921	62	1273	64	287	50	1281	44	488	55	888	36	891	39	592	51	1214	32	890	35	1845	33	1638	38	1571	42	802	41	739	31	2137	31	1540	37	579	49	1084	51	357	66	1063	43	642	43	916	53	718	53	500	54	272	79	286	50	300	62	1328	65	1603	31	1117	35	864	56	1118	55	710	55	437	48	69	100	361	52	4557	19	3214	25	2833	21	607	44	137	71	766	41	1073	41	890	57	446	73	619	46	545	49	0	.	128090	4
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	411	71	11542	68	37043	78	31068	86	5020	87	5046	64	158321	20	107885	29	98510	49	10640	45	3577	87	2286	81	0	.	0	.	6588	83	9592	36	12217	42	5003	42	0	.	12810	45	71215	40	5593	39	52884	36	61623	33	34434	35	3723	76	15487	45	65591	66	35071	33	2867	68	38819	71	2132	100	3650	68	3244	57	10592	84	14855	38	13861	52	18059	52	8141	50	7382	41	1231	82	41551	52	10552	59	1333	73	5597	50	2418	64	2739	100	5744	65	37672	51	8287	54	7780	47	1321	79	13151	80	4156	46	3436	62	6384	71	0	.	0	.	0	.	364	61	184	100	686	100	9570	43	2566	81	6587	59	18319	62	12305	39	2973	45	20730	95	66	100	12842	55	0	.	13796	65	46749	36	713	67	4209	66	7616	44	488	100	5987	92	1601	100	488	100	21463	31	43025	30	52874	34	9553	50	69	100	4386	56	9792	50	5846	54	0	.	11124	84	3387	71	0	.	1470489	8
	fir	11828	60	7926	89	26476	76	61865	37	8634	68	7628	50	25790	43	103367	21	156102	23	12335	38	277	79	9904	99	3959	72	0	.	4269	64	6800	56	21760	44	10874	52	0	.	4652	62	61	100	499	100	250	77	1928	77	1209	100	79793	33	14249	52	62436	35	8269	36	197	100	11161	45	13337	50	2917	67	5061	47	1322	90	4450	59	6874	60	20988	44	69	100	1019	62	7643	53	15680	51	1438	95	5886	45	5262	55	8901	72	12474	44	12936	70	81976	62	15070	46	21728	66	32519	49	2981	96	0	.	3134	71	180	100	1571	100	0	.	144	71	2684	63	0	.	1673	90	2497	57	188	100	260	77	8021	59	4924	99	6758	62	18136	74	0	.	21043	50	343	83	12567	83	15629	58	5133	48	21204	55	13393	58	4859	85	16303	77	4570	100	4666	84	999	72	11030	69	5193	45	34294	47	4024	75	5259	72	34973	43	51337	56	10950	100	0	.	16116	66	0	.	1289090	8
	pine	0	.	311	79	0	.	0	.	0	.	0	.	490	100	0	.	649	78	0	.	0	.	0	.	0	.	0	.	0	.	2475	73	0	.	0	.	0	.	0	.	7877	90	0	.	2692	100	1360	100	11524	41	0	.	0	.	78	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	138	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	529	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1618	89	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	217	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2306	100	0	.	0	.	638	78	0	.	0	.	0	.	0	.	9089	81	2873	64	766	91	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	45628	27
	larch	0	.	1419	100	0	.	0	.	0	.	0	.	69	100	0	.	78	100	0	.	177	100	0	.	0	.	0	.	0	.	0	.	0	.	174	100	0	.	0	.	2692	60	0	.	176	100	10550	44	13283	35	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	60	100	0	.	68	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	387	85	136	71	1036	63	0	.	0	.	0	.	72	100	431	85	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	603	75	0	.	0	.	0	.	78	100	5526	38	358	52	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	66	100	0	.	37439	19
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	413	100	0	.	0	.	0	0	10682	34	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	981	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	.	2945	40	770	67	6930	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22722	35
	other conifers	0	.	78	100	0	.	1019	66	0	.	0	.	0	0	469	100	4134	57	8210	71	0	.	0	.	0	.	0	.	355	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	177	100	0	.	277	77	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1403	100	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1302	100	0	.	4066	100	0	.	0	.	0	.	0	.	0	.	184	100	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	.	0	0	0	0	0	.	0	.	0	.	242	78	0	0	0	.	506	100	0	.	170	100	0	.	22662	34
	beech	158821	35	100930	55	82149	56	131825	35	65780	73	18016	47	226701	60	112441	29	253857	25	169237	30	140264	63	78335	42	153151	44	0	.	19577	65	168410	83	65710	50	117474	51	0	.	50094	40	33785	54	65766	40	3413	81	3235	62	0	.	200684	27	16001	49	9510	45	127615	64	28655	64	17941	36	23423	45	9984	46	120333	62	29727	86	6029	76	11642	44	53942	65	15062	63	80665	73	196895	61	153797	42	163996	34	56427	44	56098	41	108697	43	287124	47	17452	48	20723	55	11986	59	29846	48	24034	42	116524	36	0	.	40869	96	0	.	12536	74	48211	48	55993	72	11272	41	1713	55	4681	57	52197	71	483	100	6431	96	80526	68	10946	98	3842	95	46927	82	176	100	78046	36	4846	94	19871	60	77208	54	37791	40	224475	39	27585	71	53545	57	30711	79	5907	71	1332	61	0	.	3264	88	25033	54	10932	68	47529	45	78547	50	72409	43	98413	35	37201	43	24870	52	37779	42	0	.	5587877	7
	maple	167407	42	153233	72	164665	53	79852	57	25259	56	24540	62	140694	34	80012	42	171829	28	131098	37	143508	77	18329	55	210322	66	1657	.	8615	90	15826	65	92012	71	21953	61	10938	98	22055	56	11130	66	26803	62	6668	44	6332	55	458	100	238186	40	9960	51	82778	52	15657	59	49786	64	30864	68	33228	75	10485	58	15301	51	26086	51	2048	100	1932	84	23943	78	103201	64	7687	55	69171	60	141365	52	118871	78	12877	54	28235	44	84520	80	228282	43	22619	60	13106	58	21974	68	153029	52	50573	46	98235	57	1971	75	8943	85	1572	100	8499	51	4355	52	4769	73	3091	92	4778	100	7677	63	4031	61	14577	56	1029	100	30563	74	9485	45	5700	82	36955	82	6776	100	63872	72	0	.	2772	59	12853	52	8983	45	18072	41	139487	65	10802	56	88804	68	177	100	1582	65	2978	98	8443	58	20416	40	32843	66	51203	65	8924	44	277077	57	164846	33	76684	51	19501	82	247732	62	0	.	4842014	9
	ash	95606	51	26974	84	17727	53	39637	40	1010	100	54507	66	68534	36	175162	60	96533	36	68229	36	96113	68	32203	49	133876	42	1369	.	46920	73	15662	64	19739	45	29708	75	10502	100	61093	40	24128	97	35327	62	31370	97	51682	55	8535	63	185515	33	2483	64	79769	45	33849	61	971	71	14259	57	41478	100	9827	50	1523	100	22020	67	707	100	19775	68	47916	50	27498	63	25921	55	100702	62	47024	47	25472	38	2591	46	25260	45	33625	51	110787	52	23367	64	3628	79	8791	55	133465	46	70897	62	83566	43	4935	50	49809	68	225745	63	3464	100	2587	64	82758	44	16557	70	17917	92	55091	53	25344	80	20680	73	2858	100	15438	73	13461	50	3870	94	25442	78	1355	100	7105	65	547	87	347	81	1814	100	14165	56	15064	100	6986	90	45477	53	28503	59	0	.	6261	100	231455	92	23391	47	145362	54	29783	48	24055	55	17457	56	129863	42	79544	44	14251	58	3775	56	33519	48	0	.	3850862	9
	oak	27332	82	2783	94	338	100	237	77	0	.	0	.	0	.	3462	58	10874	55	1853	78	194	100	1363	100	34071	100	0	.	3959	74	4409	90	0	.	156	100	62606	54	0	.	675	78	490	100	0	.	523	100	0	.	1507	91	488	100	1579	84	0	.	5989	100	0	.	1334	100	0	.	0	.	1633	100	0	.	177	100	1403	100	1633	100	0	.	2806	71	4161	75	0	.	0	.	0	.	17931	92	12401	99	0	.	0	.	0	.	237	100	9096	90	9069	90	0	.	4000	100	0	.	0	.	18794	100	23390	88	144	100	3132	100	917	100	0	.	0	.	0	.	0	.	0	.	0	.	399	100	1786	100	0	.	2290	92	42565	89	0	.	106787	66	0	.	4397	72	18848	82	2616	71	0	.	2084	81	21152	43	19321	48	13837	62	0	.	0	.	69	100	0	.	14467	88	18619	85	1380	95	27051	90	0	.	574811	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	.	2130	78	1209	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	.	582	100	0	.	2177	77	2296	78	7707	65	1383	61	79	100	1391	100	2464	63	0	.	0	.	0	.	1209	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	199	100	0	.	0	.	0	.	0	.	0	.	0	.	188	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	23015	28
	other broadleaves	12807	35	35178	48	15568	65	8860	43	1557	91	3669	51	170861	24	50849	33	43196	36	39773	49	41919	62	10426	65	2995	60	2150	.	25870	72	14078	49	49851	67	18221	60	42564	72	24805	50	58531	37	35387	54	48632	32	51028	29	42176	42	39412	33	3711	57	17812	47	43596	34	13896	60	17167	46	1754	79	18317	80	23936	66	4672	54	8066	56	29288	52	4594	45	10134	45	10039	47	3001	62	13931	41	7073	56	705	61	7381	55	6475	48	10417	61	12995	54	19666	48	6308	48	21302	45	21407	42	7580	40	8596	45	16040	47	9502	50	1364	46	5926	61	9344	73	6667	40	3340	48	4026	54	10810	48	18652	51	5839	61	11553	42	17572	52	20344	41	1274	53	3117	64	13860	66	909	76	5491	49	51580	51	4707	46	11777	72	10674	50	803	77	1170	74	0	0	1772	79	132300	68	91995	37	52840	35	12109	50	3824	63	8239	49	6185	65	10620	40	57311	76	4461	46	9320	43	0	.	1881497	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	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	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	474211	34	340374	50	343965	37	354364	28	107260	52	113406	52	791459	24	633646	26	835762	18	441376	25	426029	51	152846	34	538374	41	5175	.	116154	46	237253	61	261290	41	203563	40	126610	46	175510	28	210509	28	169865	32	146085	30	190391	23	123511	21	748998	22	62378	30	319829	29	264056	36	102360	52	130212	35	116685	61	55179	45	169398	46	96052	45	36294	31	83549	31	172247	35	165738	57	132714	48	381449	45	417569	35	327401	39	79887	34	127834	31	262565	43	664224	44	95641	36	176770	37	72417	41	368688	39	209847	38	335171	34	20627	35	126366	62	249196	57	29729	39	87580	40	177964	33	40930	38	32885	67	77215	42	104449	47	57145	52	23221	46	165629	41	68693	34	43488	32	149862	47	13277	60	196838	35	8935	58	97410	48	208137	33	178279	43	294802	36	211576	49	134822	40	174092	46	12256	79	18263	55	427905	56	204469	23	323440	31	129514	42	130704	44	123122	37	530298	40	425072	31	215522	38	65111	40	375141	46	0	.	19648107	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. 2275712. Birmensdorf, Swiss Federal Research Institute WSL

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