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: n/ha
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)	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%
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	.	254	69	3588	91	873	87	607	96	349	98	1392	26	1650	33	1701	52	53	99	0	.	276	97	0	.	0	.	1407	96	119	99	206	70	137	98	0	.	484	58	498	57	0	.	874	55	579	42	401	58	99	100	613	64	1217	57	880	49	543	66	4417	72	0	.	298	96	179	98	877	97	668	53	961	64	1076	72	0	.	0	.	0	.	2424	57	676	73	0	.	205	97	207	97	390	98	324	68	3749	52	562	73	713	58	0	.	1024	98	0	.	0	.	318	98	0	.	0	.	0	.	0	.	0	.	0	.	682	52	0	.	511	97	773	67	697	57	0	.	1359	95	0	.	1189	57	0	.	1136	95	2482	42	0	.	446	66	594	53	0	.	0	.	1356	81	0	.	110	57	642	32	1099	36	869	71	0	.	211	97	675	64	260	68	0	.	542	97	454	67	0	.	681	11
	fir	817	63	626	99	1597	67	2429	47	1776	66	913	48	313	49	1370	24	1772	23	333	51	0	.	0	.	357	98	0	.	995	68	562	57	1261	49	902	57	0	.	266	72	0	.	0	.	0	.	32	100	27	100	1830	42	609	81	3485	35	247	56	0	.	1360	42	2946	45	538	66	336	68	186	98	617	54	498	77	1273	51	0	.	0	.	878	56	1117	53	113	99	530	54	658	53	1023	80	984	48	1102	84	9055	59	1094	68	2126	62	3692	48	166	98	0	.	124	98	0	.	163	98	0	.	0	.	0	.	0	.	126	99	197	98	0	.	0	.	781	76	545	98	803	71	3783	75	0	.	1722	44	0	.	1068	67	1479	59	450	67	2166	62	2005	54	1075	95	3457	84	4067	81	1584	94	0	.	307	84	0	.	6434	40	969	69	211	97	2340	36	4109	61	1621	97	0	.	2025	55	0	.	839	9
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	154	97	0	.	0	.	0	.	0	.	56	99	0	.	58	99	31	99	31	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	.	149	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	37	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	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	.	29	100	92	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	.	5	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	.	58	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	.	224	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	78
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	91	57	317	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	181	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	173	98	0	.	439	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	40
	beech	5619	44	6602	75	6558	52	7310	45	5162	72	620	75	3032	75	1333	43	2467	33	2095	36	9946	54	4507	66	11017	50	0	.	3210	52	11743	92	1756	53	3799	43	0	.	2367	53	351	60	2747	43	0	.	64	70	0	.	2618	28	473	77	185	99	4466	75	3022	70	1487	42	319	96	0	.	8068	62	438	97	0	.	586	77	4716	90	1034	81	5377	82	24374	61	7362	55	6754	40	3350	45	1431	74	5961	50	33038	47	1788	49	1415	56	592	71	2512	51	1129	67	3122	60	0	.	3328	95	0	.	1083	83	3744	54	2726	67	187	69	0	.	257	69	1377	74	0	.	1069	98	8776	76	548	98	550	98	5539	90	0	.	4562	39	524	94	0	.	2522	62	632	71	25357	38	3238	85	6933	58	1756	60	2711	81	0	.	0	.	98	99	605	58	0	.	3659	42	11456	50	1032	70	3427	47	2042	54	1085	75	2947	53	0	.	2825	10
	maple	12382	43	8940	70	21302	58	4705	74	5116	52	1631	98	1877	42	1518	53	2580	31	4470	39	28707	64	3362	53	24630	62	0	.	1831	95	541	58	4630	67	1636	68	4978	90	1354	61	399	73	1549	62	234	48	125	61	0	.	6967	46	599	70	5205	54	793	63	9333	62	3693	69	7607	70	1653	65	1397	56	3967	47	172	98	124	99	566	53	11321	69	574	55	9163	56	10540	51	9026	80	1199	62	3393	47	11483	80	28196	40	2406	61	1265	63	2989	64	14950	47	4444	54	9357	60	193	98	687	83	0	.	833	56	301	68	353	73	180	99	440	98	590	70	235	97	2824	56	0	.	3761	78	548	71	703	74	7458	85	2819	93	6333	71	0	.	337	96	962	52	846	57	2107	38	17125	56	1756	52	15995	63	0	.	0	.	79	99	249	65	400	52	2523	59	9448	74	633	71	24651	62	11609	34	8967	51	3254	97	37771	63	0	.	3721	10
	ash	7365	52	1550	98	1606	49	2654	40	0	.	6598	64	1034	41	3703	71	1502	39	2356	34	24151	69	6161	46	16160	35	3930	.	11595	66	529	47	1165	48	2751	77	4388	92	3557	44	788	99	1537	55	1297	99	1078	55	155	67	6209	33	122	99	5243	44	531	40	0	.	1749	56	9676	96	1886	45	179	98	3107	69	0	.	1586	60	4713	46	3197	67	1870	56	13261	59	3120	47	1917	37	0	.	2927	46	4338	45	15172	48	2226	70	315	98	1094	58	14300	41	7752	54	7816	42	565	54	3671	71	21902	57	299	98	153	98	5490	43	1039	69	1468	89	4262	49	3287	72	4712	72	505	97	2030	73	1085	59	550	98	2985	87	564	93	556	77	0	.	0	.	133	99	1953	55	2223	98	690	97	11140	46	4771	65	0	.	1649	93	6127	93	810	46	4378	56	5610	40	3245	44	2602	53	11513	37	6244	44	1149	55	274	96	5171	41	0	.	3163	10
	oak	2269	81	250	99	0	.	0	.	0	.	0	.	0	.	71	70	185	69	53	99	0	.	282	97	4438	98	0	.	1070	68	394	98	0	.	0	.	21313	42	0	.	0	.	0	.	0	.	0	.	0	.	49	100	0	.	93	99	0	.	1190	96	0	.	312	96	0	.	0	.	255	96	0	.	0	.	181	98	213	97	0	.	374	67	326	73	0	.	0	.	0	.	2706	89	1753	98	0	.	0	.	0	.	0	.	1175	98	878	98	0	.	233	99	0	.	0	.	1898	98	1759	87	0	.	294	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	547	93	0	.	614	91	10453	86	0	.	16619	62	0	.	633	71	4985	76	682	65	0	.	623	91	518	42	483	50	373	63	0	.	0	.	0	.	0	.	1324	89	3115	84	271	97	4619	87	0	.	506	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	.	35	100	27	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	.	175	97	184	98	633	76	0	.	0	.	130	98	126	99	0	.	0	.	0	.	165	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	38
	other broadleaves	224	69	1009	77	1867	75	477	61	304	96	148	98	1903	26	394	46	449	44	1034	56	8891	68	1672	66	174	98	0	.	5949	64	950	60	1863	57	818	98	13164	87	1338	60	1665	41	1246	40	1611	36	924	31	516	38	687	48	229	69	829	49	1431	45	1747	57	1350	54	312	96	2770	75	1931	72	405	68	687	77	2373	57	0	.	407	67	508	58	346	68	684	59	225	99	0	.	624	70	404	67	584	98	944	50	1453	53	670	58	1687	49	980	62	287	68	385	98	847	57	587	76	0	.	286	98	471	99	90	99	0	.	249	69	691	71	3598	41	498	66	1262	42	1740	52	1563	42	0	.	564	93	1283	67	0	.	0	.	3489	56	0	.	1325	83	203	97	0	.	0	.	0	.	550	93	3051	78	2808	38	978	45	572	66	338	96	844	57	312	68	527	59	7672	91	0	.	910	44	0	.	1121	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	28677	36	19232	48	36519	41	18448	29	12966	36	10260	60	9551	32	10038	38	10747	19	10711	23	71696	43	16260	34	56776	37	3930	.	26058	36	14990	73	10882	40	10043	34	43844	30	9365	30	3757	35	7078	30	4075	38	2897	26	1307	28	18459	25	2645	42	16257	28	8348	47	15835	51	14056	31	21172	71	7144	46	12091	43	9235	48	2144	31	6129	31	12705	39	16172	68	8329	56	48396	41	25573	38	18710	46	5080	31	9238	32	26121	44	80116	43	8790	36	17251	34	7000	41	36461	34	19172	40	23089	38	1143	48	8890	69	22982	54	2563	39	7015	44	10799	29	1496	58	2332	76	5609	39	6470	41	11134	50	2584	50	17549	42	5163	31	4170	25	21124	48	4494	55	15644	37	1138	60	12993	71	11217	35	20501	51	33624	34	24489	42	25889	33	26661	43	8133	81	4405	41	9921	63	5398	25	8056	35	16008	28	17658	40	15958	35	40523	44	27501	29	24565	37	5426	59	53897	46	0	.	12912	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	.	639	90	2459	61	1494	93	328	96	63	98	905	27	819	37	260	80	232	53	591	73	99	97	0	.	0	.	0	.	233	61	426	50	94	98	0	.	102	56	1451	50	94	56	780	37	441	45	236	30	18	100	668	48	3121	75	649	50	0	.	349	80	337	96	191	97	56	98	550	84	665	47	259	57	954	41	404	67	226	57	57	98	658	47	81	69	62	98	514	54	0	.	0	.	226	98	225	46	308	79	63	98	0	.	158	72	276	57	0	.	175	71	0	.	0	.	0	.	0	.	0	.	0	.	564	49	251	96	365	56	897	58	444	42	205	54	2676	91	0	.	0	.	0	.	1487	63	1596	61	0	.	80	97	434	66	129	95	722	94	0	.	198	93	247	43	521	45	367	69	522	78	0	.	304	76	176	74	239	98	0	.	1472	83	83	97	0	.	445	12
	fir	168	47	45	99	1959	76	2228	55	93	97	0	.	135	47	939	31	1042	35	21	99	0	.	306	96	64	98	0	.	0	.	97	68	160	47	125	97	0	.	34	99	0	.	32	99	0	.	0	.	0	.	710	45	477	48	716	58	52	70	0	.	0	.	0	.	0	.	178	71	0	.	0	.	103	98	1097	54	0	.	40	99	57	98	107	56	0	.	124	68	81	97	212	98	497	61	0	.	113	68	510	47	516	86	857	61	120	98	0	.	82	99	0	.	0	.	0	.	0	.	32	99	0	.	0	.	81	97	0	.	0	.	203	72	65	98	130	68	108	96	0	.	401	87	0	.	1501	86	0	.	171	97	577	84	0	.	0	.	513	52	0	.	198	93	14	100	37	99	48	76	500	78	0	.	456	67	850	93	754	64	250	97	0	.	640	97	0	.	250	13
	pine	0	.	0	.	0	.	0	.	0	.	0	.	9	100	0	.	11	100	0	.	0	.	0	.	0	.	0	.	0	.	94	98	0	.	0	.	0	.	0	.	223	99	0	.	42	99	0	.	44	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	.	54	98	0	.	0	.	70	98	0	.	0	.	0	.	0	.	146	100	35	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	46
	larch	0	.	53	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	42	99	0	.	0	.	148	56	103	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	.	51	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	26	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	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	.	101	42	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	103	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	40	57	17	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	32
	other conifers	0	.	0	.	0	.	79	69	0	.	0	.	0	.	12	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	58
	beech	4271	35	1316	69	5690	72	2064	33	8209	72	717	45	739	36	916	31	2164	35	2898	38	25624	66	2529	36	6473	49	0	.	1652	80	4552	64	1697	58	5098	54	0	.	775	32	454	67	935	59	18	99	0	.	0	.	2804	28	219	99	172	63	1853	87	1674	61	280	57	3891	44	874	47	5063	66	1183	91	309	98	254	50	1016	36	856	98	343	56	1308	53	2904	34	4661	36	1848	53	3225	58	5611	40	4861	40	50	99	340	59	596	69	895	45	1564	49	2862	45	0	.	0	.	0	.	132	98	663	90	1420	83	61	69	0	.	48	98	2222	68	0	.	0	.	1892	80	723	98	0	.	4241	72	0	.	2425	45	1133	94	788	50	4266	57	2966	49	4791	33	602	44	4388	54	5445	85	877	84	190	94	0	.	0	.	142	58	427	74	4043	44	392	62	2553	44	3418	36	2900	44	2148	62	1367	55	0	.	1510	8
	maple	1039	41	5299	75	4372	84	1026	59	311	51	789	59	450	33	327	37	727	38	341	42	10630	93	203	66	2632	67	4244	.	379	70	852	82	1757	85	437	53	0	.	101	73	40	99	66	99	0	.	12	100	10	100	1069	34	88	68	488	45	24	99	218	96	210	98	0	.	322	69	353	67	79	97	124	98	45	99	2075	89	1584	53	0	.	0	.	477	43	527	52	0	.	458	47	1028	62	3497	81	60	98	110	98	71	98	4607	66	2177	61	765	45	71	97	41	99	114	98	108	98	101	69	0	.	0	.	0	.	90	99	319	97	255	64	182	97	306	78	443	43	94	96	207	97	0	.	50	98	0	.	0	.	300	53	301	57	312	57	3579	97	641	77	7007	81	0	.	380	94	0	.	18	99	144	52	2478	97	604	60	389	69	2386	49	2833	48	3776	52	390	56	3859	59	0	.	644	13
	ash	492	70	974	62	921	88	591	49	219	96	179	74	169	39	617	48	560	41	210	73	2647	44	101	97	1277	64	0	.	1082	73	974	77	179	42	189	77	0	.	453	57	119	86	588	77	21	99	84	62	34	100	444	39	89	69	412	59	840	74	193	66	70	98	0	.	0	.	0	.	159	67	89	97	369	98	1356	71	386	59	105	56	135	98	544	48	162	59	243	46	523	42	556	68	559	41	447	78	57	98	142	98	3278	55	2108	72	977	37	63	98	412	88	3345	80	108	98	55	98	636	67	0	.	211	98	590	63	708	98	395	95	0	.	68	98	438	98	0	.	2381	66	0	.	151	72	187	94	0	.	48	99	224	71	0	.	319	77	888	65	2573	62	0	.	791	93	108	66	17	99	242	46	619	52	2097	58	228	97	1560	55	1387	65	1157	61	390	75	484	67	0	.	430	10
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	100	36	57	19	99	0	.	0	.	0	.	0	.	0	.	47	98	0	.	0	.	5867	92	0	.	20	99	31	99	0	.	12	100	0	.	0	.	44	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	71	98	101	98	0	.	84	99	0	.	0	.	0	.	0	.	0	.	0	.	81	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	197	93	0	.	221	91	121	96	0	.	0	.	0	.	0	.	0	.	0	.	0	.	190	94	40	74	123	54	67	79	0	.	0	.	0	.	0	.	94	68	0	.	0	.	0	.	0	.	30	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	.	13	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	71	97	0	.	0	.	0	.	52	98	38	99	0	.	0	.	45	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	44
	other broadleaves	627	40	1764	60	656	54	39	99	0	.	223	75	817	30	603	38	306	41	274	57	1669	78	302	70	128	68	5659	.	927	81	210	46	1274	95	772	37	3385	44	189	55	504	41	886	85	384	38	128	44	344	64	497	36	0	.	322	48	667	35	889	74	700	78	0	.	683	97	545	49	79	97	419	64	250	60	132	67	587	41	115	55	0	.	305	47	324	56	0	.	300	57	0	.	0	.	464	64	567	42	131	68	995	40	1592	47	314	55	261	75	212	57	335	59	0	.	201	57	42	99	94	56	148	71	95	68	522	67	657	59	182	97	207	53	252	57	530	54	95	97	590	93	49	98	0	.	258	64	1548	52	532	46	295	56	1073	51	0	.	144	94	0	.	0	.	367	44	289	52	352	40	912	65	235	96	237	97	225	68	329	44	806	62	586	57	410	55	0	.	425	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	6597	29	10089	62	16058	39	7522	31	9160	65	1971	37	3226	17	4248	16	5106	22	3995	33	41161	56	3541	28	10574	43	9903	.	4041	38	7058	44	5494	45	6714	45	9253	67	1653	27	2853	34	2632	45	1245	28	837	36	872	28	5542	20	1585	34	5231	49	4084	43	2973	39	1608	60	4228	40	2070	39	6195	54	2050	56	1607	30	1281	34	6630	43	3816	38	829	31	1557	47	4994	24	5756	31	2277	46	5101	39	7407	37	9414	35	1247	49	1411	30	1758	39	10354	42	8368	28	5298	36	742	51	831	54	4124	65	348	70	1072	66	2137	58	188	38	360	63	950	51	4416	46	1557	55	729	53	3574	52	2364	39	958	43	9708	40	787	93	3076	40	1541	67	4154	38	7812	34	4193	36	6055	26	6077	64	6046	44	16404	44	877	84	1947	54	987	28	1059	29	1362	28	5458	64	6979	29	2007	35	7750	31	9054	35	8888	31	4986	40	6843	41	0	.	3775	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	.	130	66	250	63	134	57	112	71	111	79	364	23	240	24	112	36	63	47	326	94	0	.	0	.	0	.	318	55	226	51	154	48	145	49	0	.	157	85	534	46	101	48	359	48	218	38	88	43	13	99	64	58	169	61	259	27	0	.	25	98	162	96	108	51	81	76	138	97	565	42	110	36	133	42	340	50	139	48	65	70	88	51	73	64	88	98	109	58	0	.	0	.	64	54	107	48	160	81	141	42	51	98	166	52	98	45	152	81	62	54	0	.	0	.	0	.	0	.	17	98	16	99	144	62	181	96	64	97	627	60	271	44	100	59	430	78	0	.	56	55	0	.	772	79	400	38	27	98	55	67	30	97	0	.	662	80	0	.	0	.	106	41	238	41	149	44	498	51	0	.	109	76	105	66	53	71	0	.	288	68	30	97	0	.	159	8
	fir	0	.	57	72	970	90	375	49	0	.	28	97	19	53	282	41	538	35	56	46	0	.	1541	96	23	98	0	.	49	95	0	.	64	60	45	97	0	.	12	99	0	.	0	.	8	99	4	100	0	.	171	28	95	44	143	55	94	38	39	96	25	98	81	96	0	.	23	98	0	.	0	.	55	72	308	56	0	.	27	99	0	.	0	.	0	.	44	68	0	.	27	97	233	59	208	87	0	.	380	44	186	67	123	79	22	98	0	.	44	99	20	98	21	98	0	.	0	.	57	59	0	.	16	99	29	97	47	95	33	97	73	53	0	.	57	68	116	96	0	.	18	98	80	91	536	96	0	.	87	72	193	63	0	.	46	95	208	94	0	.	0	.	10	70	26	79	65	60	163	53	0	.	164	71	397	98	128	70	0	.	0	.	86	97	0	.	96	15
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	29	60	0	.	15	99	0	.	92	51	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	61	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	95	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	98	0	.	0	.	25	98	0	.	0	.	0	.	0	.	33	71	32	82	11	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	28
	larch	0	.	38	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	95	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	73	0	.	7	99	42	58	74	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	.	21	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	80	69	0	.	0	.	0	.	0	.	65	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	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	.	44	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	52	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	29
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	54	94	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	14	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	97	0	.	0	.	86	97	0	.	29	97	0	.	2	42
	beech	2918	22	1341	32	1663	30	1432	35	763	45	888	68	348	41	589	23	906	29	1452	41	3492	55	8943	45	2236	52	0	.	412	73	487	88	1152	56	2882	77	0	.	273	33	549	73	428	46	119	94	4	100	0	.	1723	43	575	50	238	54	770	60	902	47	453	47	1160	36	869	43	942	45	3011	91	465	72	325	40	1158	47	47	68	274	46	363	48	1688	35	1924	31	1701	42	3190	44	4673	38	2803	39	72	77	529	66	449	42	476	47	733	44	6391	38	0	.	15	99	0	.	106	69	409	94	43	56	256	54	65	69	50	55	4882	89	47	95	33	97	278	98	71	98	23	98	553	47	73	93	940	50	136	94	4106	54	709	32	2073	32	2927	37	217	35	2747	65	768	60	1421	84	211	45	0	.	12	99	59	71	1672	59	3711	55	811	53	3717	48	2626	29	1256	36	1726	42	1978	54	0	.	909	8
	maple	370	29	248	38	2569	53	882	41	39	96	578	62	197	34	230	30	507	48	236	57	746	63	181	46	69	72	509	.	98	95	188	65	128	49	136	39	81	92	23	69	8	99	67	99	24	99	0	.	0	.	458	36	189	47	177	41	46	59	151	55	25	98	122	69	70	66	41	68	28	97	0	.	16	99	418	77	513	71	14	99	21	98	59	58	219	62	379	92	307	66	243	55	703	74	126	67	86	46	30	97	633	65	667	42	396	47	0	.	0	.	62	98	24	98	37	98	0	.	12	99	0	.	0	.	80	70	569	95	0	.	97	59	157	51	68	96	439	77	0	.	90	79	0	.	289	65	17	99	188	68	226	75	78	70	422	94	136	50	158	84	142	93	0	.	19	57	85	54	1943	85	2078	62	360	50	1397	55	1675	52	348	57	318	75	663	80	0	.	223	11
	ash	59	59	33	69	514	97	71	50	0	.	0	.	47	64	222	81	82	49	56	48	104	63	365	59	0	.	0	.	0	.	54	98	0	.	35	68	406	92	169	52	73	90	104	62	15	99	4	100	4	100	19	57	0	.	12	99	520	95	0	.	0	.	0	.	69	66	0	.	85	71	0	.	111	56	73	53	0	.	0	.	28	97	14	99	15	99	66	72	324	50	170	67	25	98	21	98	25	97	0	.	45	98	380	91	187	70	46	68	0	.	41	98	0	.	37	98	73	59	0	.	0	.	16	99	127	98	94	64	0	.	0	.	89	46	28	97	255	51	0	.	18	98	0	.	49	95	0	.	27	98	0	.	26	97	0	.	88	96	0	.	71	93	19	70	0	.	64	54	37	97	337	72	0	.	268	63	149	42	118	67	108	70	58	97	0	.	67	19
	oak	0	.	0	.	58	97	14	99	0	.	0	.	0	.	4	100	20	44	0	.	54	94	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1778	65	0	.	7	99	0	.	0	.	0	.	0	.	0	.	0	.	14	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	23	98	58	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	88	95	0	.	0	.	80	91	0	.	0	.	0	.	0	.	25	98	0	.	0	.	0	.	0	.	10	100	62	80	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	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	.	61	98	67	54	72	46	43	56	0	.	0	.	35	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	97	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	29
	other broadleaves	150	46	463	45	146	38	165	37	33	97	68	54	345	23	295	37	155	46	194	41	1163	59	110	51	69	98	509	.	95	95	209	44	265	42	202	50	3071	65	121	42	196	62	102	43	53	36	37	39	59	50	168	32	63	68	62	57	275	31	70	97	101	57	83	96	77	96	333	70	170	82	45	98	378	51	385	48	201	71	134	57	45	68	90	37	0	.	89	58	161	66	488	66	858	76	63	54	131	41	63	96	125	56	397	37	188	41	287	57	133	70	103	69	43	68	54	55	107	63	105	56	53	71	0	.	389	55	328	55	246	60	50	67	162	37	815	43	127	70	0	.	37	68	239	62	1024	52	71	58	190	50	77	98	281	66	45	96	140	49	0	.	142	93	106	46	107	47	247	40	929	66	299	68	198	71	41	68	152	42	1287	69	215	57	194	72	0	.	190	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	.
	total	3497	21	2310	27	6171	29	3074	22	948	44	1673	56	1321	17	1863	16	2323	20	2057	31	5935	32	11140	37	2397	50	1019	.	1026	36	1164	45	1763	39	3444	65	5337	48	756	36	1446	34	802	28	601	36	309	30	361	20	2559	31	987	34	831	31	1963	34	1163	36	630	43	1608	31	1193	31	1421	37	3432	79	1074	40	1013	25	2474	25	1100	41	589	31	522	44	1938	32	2230	28	2367	36	4091	36	5601	37	4622	28	615	38	877	39	1081	29	1629	33	2408	28	7350	34	431	43	344	45	464	38	261	34	610	64	280	29	430	37	136	43	134	35	5650	77	1267	62	376	40	1124	44	750	24	1091	38	2010	31	73	93	1159	42	534	44	6776	44	1217	23	2592	32	3478	34	793	31	3260	56	2002	54	1579	84	567	68	374	26	497	26	687	24	5242	36	6424	33	1672	37	5925	37	4782	25	3095	29	2655	36	3038	44	0	.	1679	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	6	99	48	60	35	70	84	45	39	97	69	98	179	19	68	30	69	31	41	28	85	94	56	65	0	.	0	.	55	70	302	35	47	45	64	43	0	.	114	70	279	34	79	54	134	35	106	39	27	36	5	70	23	69	91	38	128	29	13	97	144	84	0	.	129	61	32	57	67	47	139	46	82	45	83	59	249	49	92	34	24	98	56	37	23	99	17	98	10	98	79	62	0	.	25	54	101	41	76	50	71	38	120	72	64	63	154	42	69	41	88	52	0	.	0	.	0	.	14	56	0	.	25	99	77	71	160	44	150	40	155	52	98	52	101	50	82	52	0	.	59	56	0	.	94	78	112	30	53	69	31	70	23	66	0	.	140	82	69	81	0	.	81	29	87	36	58	28	81	65	0	.	61	80	21	72	21	55	0	.	14	97	11	97	0	.	77	7
	fir	0	.	21	74	23	97	118	66	0	.	0	.	4	57	71	31	97	26	37	38	0	.	186	96	45	63	0	.	91	76	20	98	42	41	22	55	0	.	4	99	2	100	0	.	0	.	5	57	0	.	103	23	87	48	55	44	26	48	0	.	10	98	47	96	0	.	16	68	11	97	13	97	42	55	18	68	0	.	0	.	30	53	5	99	6	99	17	68	40	75	71	70	40	57	112	83	8	98	100	50	36	68	29	72	15	98	0	.	6	98	0	.	0	.	0	.	0	.	59	55	0	.	6	99	45	56	0	.	0	.	29	71	0	.	35	68	0	.	0	.	7	98	57	60	54	50	77	50	57	55	127	47	0	.	73	95	18	96	0	.	82	66	2	100	13	82	37	52	139	44	0	.	11	97	0	.	15	98	0	.	0	.	0	.	0	.	29	9
	pine	0	.	15	68	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	57	0	.	0	.	0	.	66	49	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	36	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	47	20	77	11	82	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	30
	larch	0	.	30	98	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	99	0	.	0	.	11	42	24	38	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	54	82	5	99	22	71	0	.	0	.	0	.	5	99	7	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	98	0	.	0	.	0	.	0	.	32	32	2	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	97	0	.	4	19
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	99	0	.	0	.	0	.	22	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	.	7	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	52	10	60	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	32
	other conifers	0	.	7	98	0	.	7	98	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	42	92	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	97	0	.	0	.	0	.	0	.	0	.	0	.	0	47
	beech	334	35	310	50	173	45	159	54	72	53	20	67	34	38	59	24	96	29	45	33	189	63	128	75	142	44	0	.	16	96	20	72	39	48	16	98	0	.	23	52	9	74	49	49	8	99	2	100	0	.	50	52	110	36	54	48	61	60	97	60	49	63	81	60	202	62	62	51	11	97	86	52	36	57	63	38	9	98	117	44	151	51	68	39	96	37	172	45	449	38	87	45	133	52	74	58	38	50	30	98	56	47	48	48	148	30	0	.	6	99	0	.	58	59	23	73	16	55	159	56	20	55	33	57	11	97	56	95	11	98	40	57	33	68	9	98	0	.	0	.	38	40	84	44	75	39	108	57	155	35	30	53	42	56	53	96	18	96	185	84	111	70	0	.	5	70	2	100	180	80	33	65	53	79	90	42	113	38	158	76	180	54	80	57	0	.	60	7
	maple	88	42	90	40	102	86	67	62	0	.	57	48	45	29	9	52	15	41	8	72	98	51	14	97	36	57	0	.	19	95	0	.	9	69	0	.	0	.	14	73	5	70	9	99	6	70	7	62	0	.	68	30	19	73	0	.	12	56	147	47	0	.	0	.	0	.	9	98	0	.	0	.	17	68	26	71	11	97	0	.	16	98	0	.	23	78	44	98	61	59	0	.	71	73	24	98	8	98	0	.	89	55	11	97	59	86	0	.	0	.	0	.	18	68	0	.	5	99	5	99	0	.	0	.	11	97	19	95	0	.	0	.	44	80	0	.	46	51	0	.	37	70	0	.	38	63	0	.	21	67	21	67	33	97	21	94	18	96	0	.	59	59	0	.	5	70	20	38	0	.	200	48	43	76	35	64	27	77	0	.	56	55	12	97	0	.	20	9
	ash	25	78	7	98	11	97	6	99	0	.	11	97	7	46	26	72	5	75	11	99	21	94	29	97	0	.	0	.	0	.	7	98	25	98	0	.	63	92	19	59	0	.	4	99	0	.	2	100	0	.	11	60	12	69	0	.	9	70	0	.	0	.	32	96	0	.	0	.	89	97	13	97	0	.	34	98	0	.	5	99	0	.	5	99	6	99	9	98	10	98	10	98	0	.	0	.	10	97	0	.	71	85	10	98	29	76	0	.	6	98	8	98	0	.	8	98	12	99	9	69	0	.	13	99	0	.	0	.	0	.	10	97	18	67	0	.	0	.	0	.	0	.	31	91	19	95	0	.	0	.	0	.	10	97	0	.	0	.	0	.	28	93	11	84	0	.	5	70	15	96	114	55	0	.	7	98	13	68	0	.	14	96	11	97	0	.	9	15
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	98	11	97	0	.	0	.	6	99	0	.	0	.	0	.	0	.	9	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	32	91	4	100	2	99	2	99	0	.	0	.	11	97	0	.	0	.	13	96	0	.	0	.	0	.	1	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	.	10	97	0	.	0	.	19	67	14	98	11	69	5	99	0	.	6	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	36
	other broadleaves	41	63	67	36	0	.	39	49	0	.	9	98	63	21	23	40	40	31	16	46	0	.	71	61	19	67	0	.	19	95	30	57	109	54	34	48	68	57	29	55	5	70	0	.	15	51	36	70	29	44	53	42	18	73	41	56	41	45	55	97	20	67	16	96	99	40	8	98	33	71	0	.	35	58	66	42	73	52	6	99	9	98	6	98	34	44	0	.	10	98	53	62	29	71	24	72	45	55	12	97	10	97	71	51	7	98	200	52	58	80	8	98	42	80	20	71	66	54	90	42	83	51	13	99	135	67	90	44	69	64	49	48	45	56	124	40	31	66	57	60	38	65	62	91	90	53	13	68	0	.	11	97	30	54	129	69	20	94	0	.	27	94	33	34	25	41	105	53	132	85	33	65	11	97	44	58	33	50	27	96	99	70	65	80	0	.	40	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	.
	total	494	28	596	30	345	37	480	27	111	61	166	52	333	14	255	15	325	15	158	21	393	40	484	47	242	31	0	.	242	38	378	29	270	27	143	32	131	45	202	44	327	30	141	35	162	29	168	29	168	22	290	16	268	24	242	24	276	22	312	28	222	57	175	64	429	36	127	34	211	45	270	30	212	25	290	26	342	38	219	29	230	49	142	23	187	28	258	34	581	34	300	31	272	36	259	44	209	28	217	34	342	32	301	34	323	29	418	32	156	33	170	38	136	35	66	42	110	37	354	34	110	39	97	35	280	59	324	25	230	32	283	33	237	34	269	32	158	43	57	60	179	35	235	37	369	34	317	33	286	22	221	29	147	29	275	41	214	62	254	55	339	36	192	20	169	23	240	26	546	37	379	33	201	35	197	38	221	29	198	62	363	36	190	43	0	.	248	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	28	70	29	78	46	67	18	55	0	.	37	73	72	20	39	30	55	31	22	44	0	.	42	97	0	.	0	.	0	.	78	39	33	40	63	68	0	.	24	58	128	33	80	35	99	24	53	29	30	39	0	.	23	58	62	39	51	37	13	97	19	68	0	.	0	.	32	68	23	67	104	43	36	50	82	52	68	48	108	38	18	68	30	60	17	55	0	.	0	.	79	62	0	.	25	54	39	63	59	45	44	63	20	67	7	98	48	39	61	52	72	47	0	.	0	.	0	.	10	69	0	.	19	99	90	67	54	68	75	52	49	63	36	76	45	53	32	65	28	93	7	98	0	.	0	.	64	31	32	71	10	98	58	78	0	.	38	63	0	.	0	.	38	27	34	34	32	34	51	71	17	96	25	96	31	46	0	.	0	.	0	.	0	.	0	.	40	6
	fir	0	.	6	99	11	97	34	68	0	.	9	98	4	74	37	34	34	34	30	50	78	73	14	96	27	72	0	.	18	95	0	.	15	56	0	.	0	.	4	99	0	.	0	.	3	99	3	70	0	.	63	27	12	69	37	56	45	42	0	.	28	54	47	96	42	51	43	69	9	98	13	97	21	55	9	98	9	98	11	68	54	81	0	.	0	.	26	54	10	98	10	97	20	67	73	75	8	98	35	57	18	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	69	23	71	0	.	0	.	54	38	0	.	13	97	10	98	9	98	0	.	0	.	0	.	0	.	0	.	19	94	0	.	34	72	67	83	0	.	91	77	56	49	0	.	28	93	2	100	8	99	18	49	15	96	0	.	11	97	7	98	23	98	0	.	0	.	0	.	0	.	15	10
	pine	0	.	15	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	99	0	.	0	.	0	.	28	41	0	.	0	.	6	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	51	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	38	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	46	15	70	2	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	26
	larch	0	.	15	98	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	97	0	.	0	.	8	73	0	.	0	.	9	58	8	52	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	99	0	.	9	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	98	22	72	0	.	0	.	0	.	0	.	34	80	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	32	91	27	30	10	49	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	19
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	99	0	.	0	.	0	.	17	38	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	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	.	6	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	71
	beech	79	36	50	53	62	55	79	43	31	96	0	.	17	41	39	27	31	27	49	29	41	63	84	39	80	58	0	.	0	.	16	67	15	55	23	98	0	.	5	99	9	74	0	.	0	.	3	100	0	.	41	33	61	44	26	62	9	68	0	.	20	67	32	65	41	70	25	54	0	.	10	98	14	68	0	.	17	68	64	52	51	66	27	50	79	40	34	98	108	69	70	81	0	.	34	58	0	.	18	68	19	67	0	.	58	39	0	.	6	99	0	.	93	63	29	58	5	99	54	42	75	47	26	58	0	.	19	95	24	67	10	97	0	.	0	.	34	95	0	.	0	.	58	60	56	69	82	42	56	47	20	98	31	70	41	94	20	94	62	84	28	93	0	.	0	.	0	.	32	65	0	.	22	67	50	59	58	47	0	.	41	52	80	50	0	.	25	7
	maple	55	43	27	47	11	97	11	99	0	.	0	.	19	34	5	99	4	57	11	49	19	95	28	66	27	71	0	.	0	.	0	.	0	.	0	.	0	.	24	50	0	.	4	99	19	99	0	.	0	.	24	45	0	.	10	69	3	99	44	71	10	98	47	96	41	70	0	.	0	.	0	.	0	.	0	.	18	98	0	.	20	67	0	.	0	.	0	.	10	98	0	.	0	.	0	.	0	.	0	.	19	67	11	97	30	68	10	98	6	99	0	.	17	98	0	.	0	.	0	.	7	98	0	.	11	97	0	.	0	.	10	98	0	.	0	.	15	97	0	.	8	98	0	.	36	64	0	.	42	57	0	.	67	70	18	96	0	.	0	.	59	59	2	100	7	57	9	48	0	.	0	.	21	67	9	97	6	99	12	97	43	69	0	.	0	.	9	11
	ash	17	72	6	99	0	.	0	.	0	.	0	.	4	76	5	100	5	57	3	99	0	.	0	.	0	.	0	.	0	.	0	.	31	98	14	98	0	.	0	.	0	.	0	.	0	.	3	100	0	.	5	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	99	0	.	0	.	0	.	9	98	0	.	0	.	0	.	8	98	0	.	0	.	9	98	0	.	14	98	9	98	0	.	0	.	0	.	8	98	11	69	5	99	0	.	0	.	0	.	0	.	0	.	0	.	61	84	9	98	0	.	0	.	0	.	0	.	19	94	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	60	0	.	2	99	15	96	0	.	0	.	0	.	0	.	11	97	0	.	0	.	0	.	4	22
	oak	6	98	15	68	0	.	6	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	99	0	.	6	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	188	96	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	12	66	4	99	0	.	0	.	0	.	0	.	0	.	53	96	16	95	0	.	0	.	2	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	.	8	98	0	.	7	98	11	69	0	.	0	.	6	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	45
	other broadleaves	23	99	49	43	12	97	22	47	0	.	9	98	15	36	13	46	12	42	19	54	19	95	0	.	0	.	0	.	0	.	9	97	23	61	7	98	0	.	28	44	6	99	4	99	3	99	30	60	8	64	15	45	24	59	11	68	32	63	0	.	20	98	0	.	15	96	0	.	43	97	13	97	24	54	9	98	52	65	5	99	0	.	5	99	0	.	0	.	10	98	32	53	10	98	8	98	8	98	12	97	9	98	55	56	22	55	57	48	67	49	31	78	75	59	37	63	17	56	45	49	28	60	0	.	21	67	18	96	38	71	10	98	9	98	55	76	29	97	86	93	7	98	62	58	17	96	13	68	11	97	30	71	12	97	38	63	0	.	0	.	0	.	29	31	27	46	23	33	15	96	17	96	45	55	14	68	0	.	0	.	29	96	13	96	0	.	19	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	208	25	211	24	143	37	170	31	31	96	54	52	131	15	138	15	143	16	133	21	157	46	169	37	134	39	0	.	18	95	103	32	117	30	133	41	0	.	85	29	162	28	88	34	124	24	102	24	91	20	153	17	120	28	164	33	141	23	58	57	96	34	126	65	139	36	100	35	76	58	139	38	95	27	100	51	165	26	193	25	142	41	67	33	96	34	77	56	138	58	192	59	41	45	148	39	55	51	125	27	118	33	86	45	131	26	123	28	151	28	184	33	185	37	81	37	56	27	136	28	144	32	51	47	176	46	90	59	188	35	88	37	115	49	109	48	111	46	113	70	29	46	120	48	336	58	160	25	174	26	128	51	167	49	188	45	114	36	62	84	147	35	124	17	114	22	91	19	128	33	33	65	124	34	110	36	87	54	76	68	129	37	93	43	0	.	122	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	34	69	1100	66	6379	74	2603	85	1087	82	628	61	2913	18	2817	28	2198	49	411	43	1002	81	473	76	0	.	0	.	1780	77	958	31	866	39	503	37	0	.	880	42	2890	38	354	36	2247	34	1396	32	780	34	134	75	1392	42	4660	64	1967	30	570	62	4953	68	499	96	726	62	382	54	1655	81	2142	30	1448	48	2327	47	1061	44	565	38	164	80	3255	49	870	57	168	70	838	45	365	59	390	98	664	62	4220	48	1165	49	1032	42	191	76	1420	78	576	40	282	60	715	69	0	.	0	.	0	.	23	59	17	98	61	99	1557	35	645	76	1165	54	2502	58	1546	33	451	40	4580	90	28	93	1310	51	0	.	3488	57	4654	31	111	64	621	61	1140	38	129	95	1561	86	1424	81	198	93	582	30	1523	27	1706	33	2020	42	17	96	711	51	1006	46	573	50	0	.	2317	80	578	67	0	.	1402	8
	fir	985	57	755	87	4559	72	5184	34	1869	63	950	45	474	42	2699	19	3482	22	477	37	78	73	2047	96	516	69	0	.	1153	58	679	52	1543	41	1094	49	0	.	320	60	2	100	32	99	11	76	44	76	27	100	2877	32	1280	50	4436	31	464	33	39	96	1424	40	3122	41	580	62	596	42	207	88	642	54	718	58	2705	39	9	98	78	60	1019	49	1228	48	119	94	741	40	788	50	1343	69	1774	38	1496	66	9184	59	2119	41	2882	63	4701	43	322	93	0	.	257	69	20	98	185	98	0	.	11	69	171	62	0	.	148	88	406	53	47	95	46	73	1095	55	619	96	1025	58	4007	70	0	.	2147	47	137	73	3177	77	1556	56	799	41	3129	50	2005	54	1285	79	4251	71	4067	81	1892	77	27	71	390	69	168	44	7251	40	969	69	853	69	3595	39	5030	53	1871	97	0	.	2752	62	0	.	1229	8
	pine	0	.	30	76	0	.	0	.	0	.	0	.	9	100	0	.	14	77	0	.	0	.	0	.	0	.	0	.	0	.	247	70	0	.	0	.	0	.	0	.	320	89	0	.	114	99	31	100	261	40	0	.	0	.	6	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	61	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	181	87	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	38	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	230	98	0	.	0	.	95	75	0	.	0	.	0	.	0	.	246	80	102	63	25	91	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	44	27
	larch	0	.	135	98	0	.	0	.	0	.	0	.	1	100	0	.	2	100	0	.	50	95	0	.	0	.	0	.	0	.	0	.	0	.	18	97	0	.	0	.	109	59	0	.	7	99	239	43	301	34	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	99	0	.	9	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	54	82	11	69	116	60	0	.	0	.	0	.	5	99	40	83	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	90	71	0	.	0	.	0	.	32	91	150	37	13	51	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	97	0	.	36	19
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	99	0	.	0	.	0	.	242	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	.	110	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	80	39	27	66	224	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	35
	other conifers	0	.	7	98	0	.	85	64	0	.	0	.	0	.	12	100	92	56	317	70	0	.	0	.	0	.	0	.	96	94	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	20	75	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	181	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	173	98	0	.	439	98	0	.	0	.	0	.	0	.	0	.	14	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	39	74	0	.	0	.	86	97	0	.	29	97	0	.	22	34
	beech	13220	31	9619	52	14147	50	11046	31	14238	67	2244	43	4171	60	2936	27	5663	24	6539	28	39291	54	16192	33	19948	39	0	.	5290	58	16818	80	4659	48	11817	48	0	.	3443	37	1371	53	4159	37	145	80	73	62	0	.	7235	25	1438	46	676	43	7159	63	5694	58	2289	29	5482	35	1986	39	14160	58	4643	82	869	73	1216	40	6952	61	1963	59	6175	71	26246	57	12049	38	13514	30	7105	39	8403	34	16402	36	40835	41	2018	44	2322	51	1685	55	3959	43	3474	36	12582	30	0	.	3355	94	0	.	1473	70	4868	44	4210	71	717	38	161	52	415	54	8492	68	121	95	1137	94	10996	66	1375	95	583	92	10368	77	73	93	7964	31	1935	87	5024	51	7687	50	5881	33	33127	31	4130	67	14162	48	8008	74	5257	42	540	50	0	.	116	87	808	53	2311	62	11445	34	12735	45	7442	39	9642	30	6356	36	5179	45	6451	35	0	.	5329	7
	maple	13935	39	14604	70	28358	47	6691	55	5467	48	3056	59	2589	33	2089	41	3833	26	5065	35	40200	71	3789	48	27394	62	4753	.	2328	85	1580	62	6524	69	2208	58	5059	88	1516	55	452	65	1695	61	283	43	143	54	10	100	8587	39	895	48	5881	50	878	57	9894	58	3938	65	7777	70	2086	52	1801	47	4075	46	295	98	202	83	3086	75	13447	60	589	53	9221	56	11075	50	9796	76	1621	50	4230	37	12754	77	32466	37	2616	56	1468	54	3089	64	20298	48	7311	41	10607	54	273	72	734	83	176	98	999	47	440	48	359	72	197	91	448	98	680	61	656	56	3666	48	182	97	4173	71	1192	39	865	77	8165	77	2819	93	6518	69	0	.	701	52	1280	49	1398	39	2667	34	20882	61	2857	47	23156	61	158	84	641	53	81	97	299	57	659	38	6944	60	12330	58	1447	38	28478	54	16150	28	13102	45	4061	78	42304	57	0	.	4617	9
	ash	7958	48	2571	82	3053	47	3321	36	219	96	6788	63	1261	36	4573	59	2153	35	2636	35	26924	61	6656	42	17437	36	3930	.	12678	66	1564	61	1400	43	2988	73	4858	92	4198	38	979	97	2234	60	1333	97	1171	54	193	62	6688	31	223	62	5668	42	1899	59	193	66	1819	53	9708	96	1955	44	179	98	3440	63	102	97	2066	65	6176	45	3583	59	1984	53	13424	58	3684	44	2099	34	326	42	3784	39	5074	45	15756	47	2702	61	406	77	1236	51	17703	41	10249	58	9023	39	683	45	4089	66	25295	59	407	98	261	61	6223	42	1053	68	1679	90	4881	50	4123	77	5201	66	505	97	2108	71	1691	45	587	92	5621	73	564	93	725	62	218	79	88	75	181	99	2204	51	2223	98	1046	87	12028	44	7432	52	0	.	2539	93	6273	92	828	45	4690	54	6297	39	5792	47	2830	51	13347	38	7793	40	2435	53	786	49	5724	41	0	.	3672	9
	oak	2275	81	265	93	58	97	20	75	0	.	0	.	0	.	90	57	243	54	72	77	54	94	282	97	4438	98	0	.	1070	68	440	88	0	.	16	98	28959	37	0	.	27	77	31	99	0	.	12	100	0	.	54	91	44	99	112	83	0	.	1190	96	0	.	312	96	0	.	0	.	255	96	0	.	18	98	181	98	213	97	0	.	374	67	326	73	0	.	0	.	0	.	2706	89	1764	97	0	.	0	.	0	.	31	98	1315	87	979	88	0	.	328	99	0	.	0	.	1898	98	1759	87	9	99	294	98	81	99	0	.	0	.	0	.	0	.	0	.	0	.	88	95	743	93	0	.	914	82	10762	85	0	.	16619	62	0	.	658	68	4985	76	682	65	0	.	845	70	573	42	684	46	446	62	0	.	0	.	11	97	0	.	1417	86	3181	82	287	91	4619	87	0	.	548	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	.	48	77	27	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	.	81	97	0	.	244	74	270	75	778	62	104	58	5	99	130	98	218	61	0	.	0	.	0	.	165	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	97	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	28
	other broadleaves	1066	31	3353	45	2681	61	742	40	337	86	457	47	3144	22	1328	32	964	35	1537	48	11742	53	2155	60	390	56	6168	.	6990	65	1406	45	3535	65	1833	57	19688	60	1705	48	2375	35	2238	52	2066	30	1156	27	956	41	1421	31	333	55	1266	44	2446	31	2761	54	2190	40	411	74	3644	76	2817	63	730	50	1163	52	3060	49	592	39	1320	38	769	44	400	59	1091	38	583	53	89	58	1106	50	977	42	1482	57	1503	51	2203	43	887	44	2826	39	3095	36	818	35	1190	39	1317	44	1065	47	160	41	598	58	703	72	424	37	313	45	357	51	1759	42	4691	41	1033	56	1578	36	2208	48	3086	34	281	46	1297	51	1414	63	363	64	1388	39	5135	48	733	40	1738	68	1598	45	212	70	305	67	0	.	719	70	3586	67	3256	35	1705	33	2560	43	921	56	1336	43	636	61	1040	36	9792	72	929	38	1591	36	0	.	1794	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	.
	total	39474	30	32439	47	59236	29	29693	23	23216	44	14124	48	14561	23	16543	24	18644	16	17054	22	119342	40	31593	21	70123	35	14851	.	31385	34	23694	58	18526	38	20477	35	58564	24	12061	24	8543	25	10742	29	6207	27	4314	22	2799	19	27002	19	5605	25	22724	25	14812	34	20341	45	16612	28	27310	54	10976	36	19934	42	15004	38	5234	21	8730	25	22200	28	21595	52	10160	46	50848	39	32714	31	26979	36	10059	27	19149	21	39620	36	94466	38	11060	29	19804	31	10181	35	48903	33	30335	31	36191	28	2857	27	10373	60	27923	53	3493	33	8843	34	13381	30	2604	36	3082	64	6840	39	16993	41	14373	42	4107	39	22617	36	8630	27	6597	23	33111	38	5524	47	20087	30	3567	44	24628	38	20722	27	27746	37	43505	27	31675	43	35658	28	45395	36	10906	54	7405	40	11598	55	7236	20	10437	29	27382	32	31473	33	19961	28	54505	35	41645	25	36822	30	13559	30	64061	40	0	.	18736	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. 2275713. Birmensdorf, Swiss Federal Research Institute WSL

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