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	23-35calculated 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 and the total forest (pairs of values in ), but they do in the private 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 and the total forest of the Plateau has decreased. For the private 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 and total forest.

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

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

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

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

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

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

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

Procedure

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

Answer

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

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

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

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

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

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

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

Procedure

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

Answer

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

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

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

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

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

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

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

Example 8: Standard error and combination of variable expressions

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

The standard error increases as the level of detail increases.

Large standard errors are to be expected if:

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

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

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

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5. Two types of changes?

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

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

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

The results are:

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

Example 9: : Additivity/non-additivity of changes

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

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

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

Example 10: Average number of years per domain

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

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

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

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

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

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

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

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

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

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

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NFI2
growing stock (stemwood)
diameter at breast height (main diameter classes) · main tree species
regional demarcation: forest district (2024)
unit: 1000 m³
evaluation area: accessible forest without shrub forest NFI1-NFI5
grid: 1.4 km grid, subgrids 1-5
state 1993/95
		forest district (2024)
		AG01		AG02		AG03		AG04		AI01		AR01		BE01		BE02		BE03		BE04		BSBL01		BSBL02		BSBL03		BSBL04		FR01		FR02		FR03		FR04		GE01		GL01		GR01		GR02		GR03		GR04		GR05		JU01		LU01		LU02		LU03		NE01		NE02		NE03		NE04		NE06		NW01		OW01		OW02		SG01		SG02		SG03		SG04		SG05		SH01		SO01		SO02		SO03		SO04		SZ01		SZ02		SZ03		TG01		TG02		TG03		TI01		TI02		TI03		TI04		TI05		TI06		TI07		TI08		TI09		UR01		UR02		UR03		VD02		VD03		VD04		VD05		VD06		VD07		VD08		VD09		VD11		VD12		VD14		VD15		VD16		VD18		VD20		VD22		VS01		VS02		VS03		ZG01		ZH01		ZH02		ZH03		ZH04		ZH05		ZH06		ZH07		lakes		Switzerland
diameter at breast height (main diameter classes)	main tree species	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%
n/a	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.
12-15 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	32	59	41	63	43	86	10	60	16	48	28	68	194	22	86	25	256	36	73	47	0	.	15	92	10	71	0	.	78	60	58	30	103	70	26	41	0	.	68	49	75	42	78	26	32	42	134	21	180	37	120	36	56	49	61	48	88	28	13	91	22	45	1	100	11	54	55	65	18	71	39	33	21	61	25	64	35	55	28	37	7	56	38	39	49	62	19	74	44	89	42	100	5	100	21	62	55	46	4	79	6	469	73	49	156	53	11	60	31	38	10	43	0	.	0	.	0	.	4	59	6	83	6	100	14	56	5	76	54	45	5	59	12	45	24	69	29	71	6	83	34	52	8	72	0	.	44	29	30	74	38	70	32	86	17	85	5	72	0	.	5	71	73	23	129	29	85	24	33	56	17	71	25	56	194	58	96	62	25	85	4	71	24	48	0	.	3881	7
	fir	15	78	4	100	0	.	3	100	2	100	12	52	56	59	135	20	70	29	56	21	0	0	4	80	10	54	0	.	2	100	7	71	20	70	15	66	0	.	3	80	3	73	5	58	3	71	2	71	0	.	60	40	48	38	61	34	34	32	6	60	23	82	5	51	3	78	44	64	-14	100	20	62	13	63	10	62	0	0	9	43	15	86	9	62	5	71	8	64	4	76	0	.	26	74	6	64	5	218	3	71	27	55	9	73	27	92	0	0	3	58	2	100	0	.	0	.	0	.	1	100	1	100	4	80	42	67	0	.	11	63	10	55	0	.	1	355	3	100	2	100	14	47	2	100	3	58	5	61	2	100	7	47	8	78	8	100	10	278	0	.	0	0	5	100	2	72	9	41	28	41	0	.	0	.	-33	116	6	75	0	.	0	.	0	.	0	.	1050	10
	pine	2	100	6	71	0	.	0	.	0	.	0	.	0	0	0	.	3	100	3	70	0	.	4	72	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	15	66	0	.	0	.	7	66	101	39	0	.	0	.	2	100	0	.	0	.	4	100	0	.	0	.	0	.	0	.	10	100	2	100	0	.	0	.	0	.	0	.	0	.	1	743	0	.	0	.	4	100	2	100	1	100	0	.	0	.	0	.	0	.	5	71	0	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	119	46	29	44	17	51	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	345	21
	larch	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	75	13	81	9	55	17	36	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	5	73	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	0	8	61	6	54	1	100	0	.	0	.	12	47	2	74	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	70	26	18	42	4	50	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	184	14
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	72	16	37	0	.	0	.	0	.	0	.	0	.	0	.	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	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	.	4	47	3	66	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	25
	other conifers	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	8	60	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	2	100	2	100	0	.	0	.	0	.	3	71	2	100	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	1	100	1	100	0	.	0	.	0	.	0	.	1	100	2	70	0	.	0	.	0	.	2	100	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	3	100	0	.	0	.	0	.	0	.	5	100	8	58	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	1	100	2	71	0	.	0	.	1	100	10	68	0	.	0	.	0	.	0	.	0	.	69	20
	beech	31	37	31	55	37	76	49	47	4	76	3	79	114	54	92	39	152	30	138	26	11	100	30	67	36	38	0	.	8	57	13	42	24	45	17	52	0	.	21	48	3	66	10	49	0	.	26	42	0	.	102	40	9	47	33	42	36	29	6	59	17	55	6	58	5	74	-6	299	31	80	2	71	28	54	19	56	27	50	22	43	24	36	40	51	91	41	26	49	20	81	11	53	21	44	33	90	6	71	7	54	14	61	5	52	27	48	0	.	5	100	0	.	21	82	46	45	42	44	76	78	61	36	37	64	12	46	0	.	-1	783	7	55	2	76	6	61	6	63	9	100	18	43	15	100	8	70	24	37	4	72	17	55	8	76	3	73	7	52	3	100	6	78	0	.	2	72	33	44	1	100	4	51	5	68	9	41	8	145	6	48	2	193	10	51	0	.	2034	8
	maple	20	45	11	62	2	100	2	100	2	100	4	71	12	42	11	46	9	50	30	31	0	.	3	100	1	100	0	.	5	100	2	100	8	56	9	65	0	.	6	45	5	100	2	100	11	71	4	100	0	.	19	38	11	100	4	72	2	100	0	.	2	100	0	.	4	73	6	72	5	73	0	.	14	71	0	.	3	100	10	61	2	100	3	73	9	79	5	71	11	55	15	51	9	68	5	63	8	52	2	100	-4	194	-28	100	12	100	1	100	6	100	2	100	1	100	3	100	5	67	0	.	2	100	0	.	3	71	0	.	0	.	18	67	14	57	11	58	4	71	0	.	9	63	0	.	0	.	0	.	4	72	4	59	5	100	4	100	0	.	0	.	0	.	0	.	5	81	12	145	2	100	7	77	3	100	9	52	2	100	35	69	5	71	6	100	0	.	470	12
	ash	12	60	1	100	1	100	0	.	0	.	3	100	9	65	3	100	1	71	8	60	11	100	7	100	2	100	0	.	0	.	2	100	7	77	1	100	1	100	9	63	1	100	3	100	16	87	10	46	0	.	18	52	3	71	10	48	11	55	5	71	7	73	2	100	0	.	0	.	7	59	0	.	4	71	3	81	16	83	0	.	11	62	21	60	1	100	0	.	1	100	4	100	3	100	22	79	1	100	0	.	1	72	1	71	4	71	3	100	6	100	0	.	0	.	7	100	20	64	7	100	0	.	8	100	2	100	4	71	0	.	1	100	4	71	2	100	1	100	1	100	6	100	0	.	0	.	4	100	0	.	1	100	0	.	2	70	3	61	0	.	19	85	9	53	13	75	9	65	1	100	0	.	5	100	2	76	0	.	56	100	0	.	0	.	0	.	461	16
	oak	15	100	0	.	0	.	2	100	0	.	0	.	2	75	0	.	-9	112	0	.	0	0	3	100	4	100	0	.	0	.	0	.	2	100	3	100	58	74	0	.	0	.	0	.	0	.	1	100	0	.	2	100	0	.	3	100	0	.	13	92	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	0	2	100	6	87	0	.	0	.	0	.	4	71	6	75	0	.	0	.	0	.	0	.	8	63	8	60	31	38	47	95	0	0	4	73	0	.	0	.	0	.	3	71	2	100	0	.	0	.	0	.	0	.	0	.	3	100	0	.	22	62	0	.	0	.	27	73	7	100	0	.	0	.	6	61	4	78	2	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	293	25
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	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	.	2	100	-27	181	9	74	93	49	38	48	125	35	18	60	11	104	82	59	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	380	26
	other broadleaves	7	52	9	74	8	48	0	.	2	100	3	72	57	28	16	38	42	56	14	42	8	58	1	100	7	60	0	.	6	72	10	50	22	43	13	54	2	71	27	49	13	39	10	60	58	36	96	35	36	62	46	38	9	48	2	100	36	46	0	.	16	49	7	100	15	88	3	71	5	78	15	78	6	59	0	0	37	62	23	57	13	50	18	51	3	71	4	73	2	71	25	54	1	100	0	8070	7	50	15	79	7	71	4	59	3	71	27	62	7	54	10	60	39	35	45	37	102	37	42	33	17	52	11	39	14	49	19	100	11	62	3	71	11	47	0	1459	0	0	9	67	1	100	0	.	1	100	8	62	15	62	3	75	3	100	12	67	5	100	2	100	0	.	40	60	36	37	37	107	-1	912	6	84	2	100	10	54	0	0	9	55	1	100	3	71	0	.	1349	8
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	133	28	105	43	90	54	66	38	25	52	53	47	443	21	342	16	532	22	323	19	30	60	68	42	70	30	0	.	101	53	92	24	185	42	84	29	64	67	137	30	117	31	113	22	133	27	318	18	352	24	368	20	137	29	175	25	206	19	43	43	90	31	21	49	39	55	101	51	51	66	85	33	89	31	56	38	127	35	98	29	72	34	129	32	161	31	61	40	84	52	105	49	73	40	88	45	83	42	33	47	59	72	70	60	237	39	43	44	39	134	46	30	164	34	147	27	326	23	206	39	99	30	154	37	88	42	28	69	77	39	49	40	45	35	44	46	43	66	35	57	91	28	25	73	17	49	86	27	76	39	70	42	57	61	73	48	37	85	5	100	29	61	330	20	241	19	213	26	65	42	35	44	42	42	200	60	112	57	133	50	11	52	43	43	0	.	10544	4
16-23 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	72	43	152	59	101	78	50	48	105	55	239	37	858	16	417	25	575	31	379	33	0	.	62	94	13	100	5	.	108	56	415	30	351	42	228	42	3	100	202	35	310	26	395	32	299	26	553	20	519	23	364	48	122	45	228	42	481	26	56	100	171	61	16	59	20	72	56	40	137	48	174	38	96	38	96	51	115	51	114	61	36	48	98	39	130	51	43	65	22	84	32	100	12	71	45	36	272	38	46	41	156	49	141	49	279	65	16	65	129	35	56	39	0	.	0	.	0	.	17	89	12	81	5	74	29	53	84	46	217	54	48	56	25	63	78	54	62	43	64	67	87	43	66	55	18	74	196	32	17	63	99	62	74	55	16	72	62	78	0	.	6	100	300	22	466	23	412	26	82	58	27	58	71	54	142	48	135	51	62	54	11	100	121	41	0	.	13284	5
	fir	36	63	6	100	3	100	60	60	21	61	38	59	98	30	461	21	258	31	119	28	4	100	3	100	25	49	0	.	31	92	7	71	59	42	61	58	0	.	11	62	12	81	5	72	2	100	27	45	0	.	281	31	131	60	236	30	113	34	31	57	54	71	50	55	49	62	156	48	6	72	13	100	91	49	11	71	0	.	29	66	42	46	36	42	2	100	22	57	30	68	16	62	40	44	34	63	35	62	51	50	57	72	37	47	7	100	0	.	12	62	15	100	0	.	0	.	0	.	19	100	12	100	5	100	89	70	0	.	21	60	16	52	0	.	80	49	0	.	4	100	127	64	28	73	9	81	3	100	38	62	25	50	20	60	13	76	113	60	11	100	12	72	26	68	21	75	25	54	26	86	0	.	11	72	-13	173	11	75	14	72	0	.	0	.	0	.	3805	7
	pine	17	100	3	100	0	.	0	.	0	.	0	.	7	73	0	.	9	77	39	57	0	.	52	90	0	.	0	.	0	.	0	0	0	.	-3	100	64	90	0	.	15	72	23	100	0	.	88	45	179	32	52	100	0	.	3	100	0	.	0	.	12	100	0	.	0	.	-21	100	0	.	43	100	0	0	0	.	0	.	0	.	0	.	0	.	35	100	0	.	0	0	13	100	5	100	3	100	0	.	0	.	2	100	0	.	7	100	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	43	75	0	0	0	.	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	9	100	0	.	282	36	79	40	89	39	0	.	5	100	0	.	0	0	0	.	12	72	31	100	0	.	0	.	1201	15
	larch	7	100	7	100	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	100	0	.	0	.	0	.	0	.	15	59	6	73	9	123	67	54	123	25	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	17	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	100	0	.	2	100	10	48	43	61	17	77	0	.	0	.	95	40	22	72	14	78	0	.	0	.	0	.	10	84	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	100	0	.	7	100	0	.	0	.	0	.	0	.	120	30	164	42	63	61	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	872	13
	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	.	15	77	93	30	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	59	60	28	43	8	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	203	24
	other conifers	0	.	0	.	0	.	0	.	0	.	3	100	0	.	0	.	10	74	0	.	0	.	0	.	0	.	7	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	3	73	0	.	0	.	6	100	0	.	0	.	0	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	5	100	0	.	12	100	5	100	0	.	9	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	8	100	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	100	0	.	0	.	0	.	0	.	0	.	3	100	3	100	0	.	0	.	0	.	0	.	101	27
	beech	131	33	88	49	54	38	194	40	23	65	28	48	196	35	275	24	471	19	628	20	6	100	77	34	160	45	0	.	50	59	233	45	119	53	63	46	0	.	89	33	135	52	79	36	2	100	66	57	0	.	270	31	72	33	107	37	117	35	17	84	65	54	41	56	42	55	52	44	73	50	3	100	164	38	43	46	64	50	72	51	67	65	122	62	288	29	57	43	100	40	53	55	128	42	8	274	39	51	47	73	29	49	23	48	92	65	0	.	3	100	0	.	130	73	152	41	98	41	213	47	255	43	94	46	50	48	0	.	11	82	14	63	15	84	36	60	7	59	0	.	142	40	4	100	19	62	35	44	22	61	92	55	4	100	29	64	47	73	13	71	22	64	0	.	0	.	160	38	32	63	25	76	14	72	77	49	121	37	16	73	49	50	28	50	0	.	7450	5
	maple	45	43	21	84	0	.	22	69	0	.	21	100	98	36	54	37	38	64	124	41	0	.	18	54	29	63	0	.	8	100	5	100	72	43	4	100	0	.	67	57	8	76	7	70	7	71	5	71	0	.	55	39	15	58	15	51	57	69	8	100	55	59	7	100	21	84	0	.	22	54	51	100	24	90	27	51	9	73	79	60	28	62	91	37	9	91	0	.	26	48	18	67	25	75	33	59	15	81	4	100	9	73	11	72	14	75	0	.	0	.	0	.	5	100	8	71	0	.	0	.	9	100	0	.	23	71	0	.	0	.	24	58	36	141	27	54	8	100	0	.	23	55	0	.	0	.	12	75	8	77	14	53	12	61	0	.	-20	100	0	.	0	.	0	.	4	100	58	47	17	100	11	75	5	100	67	58	0	.	29	73	35	74	4	100	0	.	1802	9
	ash	7	100	7	76	0	.	17	100	0	.	65	71	34	54	57	44	27	44	44	51	29	61	0	.	7	100	0	.	0	.	57	69	76	42	4	100	3	100	86	72	0	.	0	.	61	73	21	73	0	.	72	59	2	100	3	100	36	79	11	100	21	100	0	.	0	.	0	.	56	64	0	.	11	72	37	53	47	50	21	58	59	63	73	49	16	71	6	100	14	58	32	76	17	73	34	74	0	.	0	.	28	66	16	90	35	70	11	100	15	100	0	.	8	72	5	100	25	71	5	100	15	78	30	66	15	64	6	100	0	.	0	.	12	79	9	71	17	62	0	.	0	.	0	.	0	.	0	.	0	.	71	97	28	83	5	100	22	100	0	.	23	65	18	50	10	80	26	57	0	.	14	81	19	67	64	81	4	100	8	100	16	58	0	.	0	.	1751	10
	oak	17	59	0	.	0	.	5	100	0	.	0	.	0	.	6	100	53	51	0	.	0	.	0	.	31	87	0	.	0	.	0	.	19	54	0	.	196	66	0	.	0	.	0	.	0	.	0	.	5	100	3	100	7	100	0	.	0	.	13	100	0	.	0	.	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	.	4	100	0	.	15	58	0	.	11	82	0	.	8	100	0	.	0	.	0	.	0	.	29	71	4	100	0	.	0	.	0	.	4	71	14	60	85	61	49	93	12	58	0	.	4	100	0	.	0	.	4	100	8	100	0	.	17	100	0	.	0	.	0	.	12	87	0	.	130	60	0	.	0	1536	64	51	3	100	0	.	0	.	11	69	21	90	20	40	0	.	0	.	0	.	0	0	0	.	0	.	10	73	0	.	0	.	895	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	.	76	62	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	100	16	67	44	74	157	53	137	38	280	33	13	60	54	73	255	36	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1060	16
	other broadleaves	10	100	119	60	25	76	18	70	3	100	14	79	82	51	64	44	83	42	41	51	37	57	8	100	14	60	0	.	15	88	11	57	14	68	28	60	0	.	33	59	33	45	39	67	18	86	184	31	89	45	71	55	8	91	3	100	17	51	0	.	8	72	17	100	5	100	6	100	13	100	7	100	4	100	0	.	32	90	41	56	32	88	8	100	8	71	6	73	7	71	31	52	12	71	18	94	2	100	50	91	30	66	5	175	25	80	18	59	39	38	3	100	77	51	200	42	269	26	113	40	31	48	89	37	16	71	12	100	9	127	64	48	16	53	22	73	14	60	30	75	6	71	7	100	0	.	3	100	42	91	14	60	10	76	58	71	7	100	3	100	4	100	86	35	55	40	97	35	0	.	12	71	11	100	18	65	0	.	18	53	25	73	12	58	0	.	2961	7
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	343	23	403	39	190	48	365	29	151	46	409	30	1373	13	1334	15	1525	16	1373	16	75	49	220	52	279	36	12	.	212	41	744	28	710	27	384	32	266	55	487	25	530	22	555	27	398	23	1101	15	1013	16	1168	20	355	35	602	24	821	20	136	50	386	34	136	39	137	40	249	37	311	31	292	34	391	24	215	33	274	31	375	32	273	37	428	28	516	25	140	34	209	30	205	32	248	31	174	41	365	33	198	40	311	33	271	35	462	43	69	47	225	27	163	32	398	34	516	26	756	21	523	26	422	31	492	23	226	46	103	42	303	41	180	28	117	66	252	45	125	36	108	52	386	35	105	46	58	45	249	31	270	36	315	36	156	39	185	44	233	50	36	77	67	46	921	16	847	18	959	17	157	37	95	39	135	35	359	31	274	31	159	35	177	39	165	39	0	.	35386	3
24-35 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	231	64	116	68	152	47	338	47	493	34	703	41	2877	13	1406	21	1202	23	707	25	19	100	16	84	102	57	0	.	151	67	774	37	809	30	594	37	0	.	782	53	1073	25	638	31	869	24	2217	19	1568	20	734	32	357	31	373	29	1025	27	40	81	275	48	123	45	77	46	354	49	371	44	301	40	620	32	375	40	167	48	373	39	159	50	449	39	406	36	37	52	251	46	46	73	50	71	241	37	697	31	266	46	251	56	211	39	123	71	78	56	210	46	388	48	0	.	0	.	0	.	31	70	0	.	27	89	136	42	310	60	541	41	24	100	255	59	199	55	79	59	146	86	137	36	206	76	50	81	566	26	13	100	96	51	145	62	16	100	125	82	32	78	356	70	835	25	913	23	1121	22	144	46	116	51	319	52	204	38	473	36	144	43	242	66	129	56	0	.	35398	4
	fir	46	72	17	78	10	100	128	50	127	55	217	45	183	40	1115	20	1035	25	679	28	0	.	45	72	60	53	0	.	92	72	27	71	411	48	146	74	0	.	7	100	58	54	25	71	14	100	91	63	0	.	778	29	327	51	621	29	197	37	148	61	97	48	64	71	105	47	280	49	61	60	39	63	48	51	166	45	15	100	134	61	13	100	111	48	19	100	22	100	102	54	104	82	133	49	14	100	136	39	96	63	120	59	54	84	17	100	0	.	0	0	20	100	0	.	0	.	0	.	6	100	0	.	14	100	106	44	0	.	83	74	30	71	70	53	117	48	21	100	0	.	207	42	93	71	69	90	10	100	32	100	165	45	115	52	0	.	78	62	19	100	27	72	34	73	55	79	59	89	13	100	0	.	66	67	185	46	76	63	0	.	0	.	0	.	0	.	10326	6
	pine	28	71	9	100	35	73	0	.	0	.	0	.	24	71	16	100	85	73	174	59	0	.	27	100	45	59	0	.	0	.	19	71	0	.	15	100	18	100	0	.	81	51	37	58	0	.	191	41	358	35	104	63	0	.	79	74	0	.	12	100	0	.	0	.	0	.	20	100	0	.	30	100	12	100	0	.	0	.	0	.	0	.	0	.	45	62	0	.	19	77	-13	100	38	62	27	100	9	100	0	.	0	.	0	.	0	.	0	.	13	100	25	100	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	114	63	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	0	.	0	.	41	100	0	.	253	35	114	36	205	37	0	.	-2	100	69	59	0	.	49	71	55	100	61	72	0	.	0	.	2554	11
	larch	11	100	0	.	35	100	38	100	0	.	0	.	45	86	0	.	57	100	0	.	0	.	0	.	18	100	0	.	0	.	0	.	0	.	19	100	0	.	0	.	106	69	90	50	0	.	160	39	479	28	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	26	78	0	.	0	.	62	77	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	100	0	.	0	.	77	47	50	55	28	73	0	.	0	.	175	48	142	62	90	100	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	738	23	305	37	84	47	0	.	0	.	0	.	0	.	0	.	35	76	0	.	29	100	0	.	2939	11
	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	.	21	100	339	30	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	63	39	60	53	29	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	511	23
	other conifers	8	100	0	.	34	100	0	.	0	.	0	.	0	.	0	.	70	63	0	.	0	.	0	.	0	.	67	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	-22	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	.	11	100	0	.	0	.	0	.	0	.	0	.	168	54
	beech	380	30	120	44	136	57	424	33	64	54	134	41	643	36	788	22	1160	19	1189	20	19	74	361	37	378	39	0	.	47	61	263	45	358	50	330	40	0	.	197	60	89	54	134	50	0	.	27	100	0	.	789	25	278	36	209	57	356	36	27	95	69	73	172	55	77	51	113	39	126	53	0	.	324	44	125	81	460	45	154	43	305	37	456	44	476	30	255	62	384	36	192	53	604	33	121	45	15	100	250	36	91	44	32	63	232	36	0	.	6	100	0	.	75	60	236	37	204	38	161	44	151	38	153	56	100	43	0	.	18	100	85	64	34	58	141	56	53	62	0	.	372	38	15	100	112	46	61	76	252	46	365	35	125	74	233	60	66	51	40	71	62	76	0	.	0	.	243	41	77	60	125	80	66	59	359	41	198	34	120	63	29	108	16	100	0	.	18287	5
	maple	171	42	46	65	11	100	29	88	7	100	133	49	314	33	120	32	53	58	187	32	17	100	92	42	30	100	0	.	13	100	0	.	31	72	0	100	0	.	111	42	15	160	0	.	8	100	24	78	0	.	179	35	58	69	8	100	96	57	14	100	39	57	23	100	61	94	16	100	62	75	19	100	38	61	113	45	40	74	192	43	42	74	238	36	0	.	27	72	69	63	31	72	91	47	9	100	50	70	0	.	34	58	40	58	60	77	0	.	7	100	0	.	0	.	21	70	0	.	0	.	10	100	0	.	53	57	0	.	0	.	118	56	71	79	40	46	10	100	0	.	34	71	0	.	9	100	11	100	10	100	20	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	227	0	.	27	73	19	107	121	41	61	51	0	100	50	74	22	100	0	.	3791	8
	ash	65	52	109	61	33	100	34	100	0	.	147	48	65	69	170	36	169	37	22	72	109	71	0	.	33	72	0	.	10	100	91	75	168	61	97	62	4	100	81	70	0	.	0	.	62	65	16	108	0	.	411	36	233	84	51	88	0	.	16	100	10	100	0	.	0	.	0	.	112	64	0	.	0	.	181	43	90	59	25	100	0	.	94	56	67	80	0	.	30	71	77	72	25	100	97	91	0	.	64	86	88	45	37	61	37	63	0	.	0	.	0	.	0	.	11	100	0	.	0	.	-1	100	17	100	48	100	0	.	0	.	33	77	31	100	22	100	104	74	20	100	41	100	0	.	0	.	0	.	59	75	56	86	59	88	0	.	55	72	0	.	9	100	8	100	0	.	82	49	50	72	33	71	9	100	90	55	67	68	47	100	69	67	15	100	0	.	4263	10
	oak	46	58	21	72	15	100	0	.	0	.	0	.	7	100	14	100	49	80	0	.	0	.	0	.	68	67	0	.	0	.	0	.	0	.	26	100	170	55	0	.	0	.	0	.	0	.	0	.	0	.	93	72	12	100	33	71	60	100	22	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	100	34	100	0	.	16	100	10	100	62	51	0	.	8	100	0	.	67	48	0	.	0	.	0	.	76	66	97	66	93	65	0	.	0	.	0	.	13	100	28	100	98	60	6	100	32	51	62	85	0	.	0	.	13	100	0	.	7	100	0	.	57	75	0	.	37	100	53	71	24	100	0	.	132	55	0	.	23	72	60	49	0	.	0	.	0	.	0	.	11	100	15	100	0	.	0	.	0	.	13	100	24	100	18	100	8	100	11	100	0	.	1846	13
	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	.	138	57	4	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	.	6	100	31	60	46	61	76	60	234	39	256	42	18	72	35	74	300	45	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	100	0	.	33	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1203	17
	other broadleaves	65	54	102	52	28	100	30	100	0	.	15	78	81	45	54	48	192	45	12	100	52	71	15	100	20	72	0	.	53	91	30	72	0	.	6	100	0	.	13	72	25	82	0	.	70	85	158	42	55	58	94	36	16	100	15	100	0	.	0	0	0	.	0	.	0	.	16	100	16	100	0	.	20	100	0	.	31	58	63	59	58	51	62	68	12	100	0	.	30	73	24	78	12	100	18	58	10	100	42	60	103	61	19	71	84	61	7	100	79	53	19	100	54	55	97	51	295	45	57	44	84	89	148	53	20	73	12	100	0	0	13	72	33	83	0	.	26	72	0	.	8	100	0	.	0	.	0	.	33	59	9	100	116	92	9	100	26	77	0	.	0	.	86	47	21	58	51	47	0	.	46	63	-10	100	0	.	18	100	18	71	47	100	39	85	0	.	3278	9
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	1050	26	540	30	488	35	1020	24	691	31	1348	30	4238	13	3682	13	4072	13	2970	15	216	47	556	33	754	29	67	.	366	41	1204	28	1776	23	1234	25	192	52	1190	38	1448	21	923	24	1022	22	3042	15	2804	15	3183	14	1279	26	1399	22	1734	21	279	43	490	34	382	37	320	34	798	30	748	30	389	37	1063	26	963	26	837	32	946	24	592	29	1419	25	1149	24	341	49	892	30	461	36	1019	26	529	31	916	28	717	29	764	29	514	34	647	28	91	49	424	32	549	36	246	30	627	26	853	23	454	27	453	30	812	27	464	30	322	58	768	34	310	39	502	44	519	35	350	46	166	79	837	26	367	50	265	48	649	25	542	29	712	29	582	35	318	46	350	48	132	54	454	57	2045	16	1479	18	1936	17	283	35	346	39	538	35	984	27	966	25	437	33	505	42	262	44	0	.	84563	2
36-51 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	431	53	520	52	252	52	1464	30	793	31	1231	28	6520	13	3379	15	3253	17	1593	20	83	73	23	131	329	66	0	.	409	54	1405	29	1394	23	1565	34	0	.	1143	25	1929	21	716	26	2479	19	3545	16	2085	16	1196	23	692	33	1527	26	2303	22	56	50	358	27	410	40	169	43	711	32	235	42	583	34	1221	34	572	43	371	53	778	33	680	34	892	32	685	27	530	45	308	60	676	45	206	41	420	33	1315	31	445	35	811	43	324	34	293	36	360	42	471	27	728	33	0	.	0	.	13	100	99	100	11	100	121	74	217	57	436	51	463	38	441	62	397	41	272	36	504	49	209	97	353	36	84	70	154	62	481	25	262	51	370	56	515	40	45	76	86	64	78	89	728	52	993	19	1379	20	1630	17	380	49	286	46	658	38	576	41	829	30	487	42	426	43	346	59	0	.	71198	3
	fir	74	50	3	100	0	.	713	32	187	45	694	40	682	37	2489	15	1492	20	1213	22	0	0	21	100	109	68	0	.	82	64	73	56	489	38	239	58	0	.	205	68	97	43	42	78	129	69	245	48	0	.	1269	24	444	30	1345	22	611	34	251	60	388	35	135	51	166	60	363	37	203	71	148	86	250	37	364	41	68	71	162	43	139	89	676	41	51	75	107	60	109	64	101	47	154	48	84	73	381	41	127	59	70	54	75	72	71	100	0	.	63	77	70	100	0	.	0	.	22	100	30	100	190	62	37	77	69	68	0	.	90	73	128	49	133	74	126	73	42	74	13	100	96	51	86	87	137	52	141	45	112	51	146	47	150	48	163	79	124	61	63	73	16	100	18	100	199	62	151	56	14	100	114	60	244	47	760	34	128	51	35	100	0	.	72	87	0	.	21571	5
	pine	34	71	221	63	0	.	47	64	0	.	13	100	301	67	38	71	335	33	121	52	59	100	0	.	109	51	0	.	14	100	140	93	0	.	339	67	12	100	0	.	84	81	316	42	49	100	172	39	451	37	240	42	0	.	78	62	0	.	44	100	0	.	0	.	0	.	13	100	0	.	23	100	0	.	0	.	0	.	0	.	0	.	31	100	263	45	113	65	85	47	72	73	133	47	0	0	13	100	0	.	64	50	130	60	146	58	0	.	59	92	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	42	100	-5	100	0	.	0	.	0	.	14	100	8	100	0	.	33	100	0	.	8	100	0	.	72	74	0	.	0	.	13	100	0	.	201	43	70	38	290	46	0	.	23	100	245	37	76	66	247	42	140	51	87	66	76	72	0	.	6018	9
	larch	0	.	61	57	0	.	99	76	0	.	0	.	77	68	16	100	60	73	0	.	0	.	0	.	13	100	0	.	0	.	0	.	0	.	63	76	0	.	0	.	186	55	207	45	22	100	470	23	1546	17	19	100	22	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	38	73	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	41	61	145	56	115	53	65	71	0	.	45	58	188	39	105	44	116	75	0	.	0	.	0	.	57	56	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	48	72	0	.	0	.	0	.	0	.	1258	24	783	25	434	30	0	.	18	100	0	.	0	.	0	.	25	100	18	100	93	59	0	.	6472	8
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	14	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	100	0	.	0	.	41	60	427	27	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	173	41	58	67	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	729	20
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	49	59	0	.	0	.	0	.	0	.	14	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	100	91	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	62	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	29	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	100	0	.	0	.	0	.	0	.	0	.	0	.	305	40
	beech	892	28	386	39	108	57	839	32	115	50	250	39	817	30	1317	24	2253	17	883	23	222	56	345	49	245	34	0	.	87	71	100	86	276	43	463	42	0	.	531	30	309	52	159	40	34	74	76	74	0	.	1674	20	540	37	147	37	468	35	189	55	18	150	115	48	67	51	149	44	95	68	6	100	528	46	250	41	551	39	330	41	192	47	677	42	672	28	554	33	570	36	538	37	527	30	112	48	101	100	236	44	202	44	124	47	248	39	0	.	57	54	0	.	110	51	123	51	80	41	199	42	80	46	134	48	117	84	0	.	28	71	109	60	44	76	117	51	176	54	0	.	424	36	148	85	112	54	80	59	163	67	371	35	238	66	317	52	138	58	114	53	25	73	0	.	0	.	141	48	108	47	174	42	232	43	403	35	233	34	328	41	180	60	191	42	0	.	26083	4
	maple	184	41	27	78	23	100	35	77	16	72	64	62	189	35	32	71	53	47	182	33	17	100	35	75	67	51	0	.	8	100	19	71	52	63	0	.	0	.	40	82	23	89	0	.	9	100	22	77	0	.	187	33	0	.	11	100	53	54	-5	100	16	100	7	100	11	100	0	.	11	100	38	76	15	71	28	100	58	59	87	43	55	50	239	35	0	.	38	59	21	72	36	50	82	47	93	47	8	100	19	72	83	78	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	85	6	100	0	.	19	100	18	100	21	72	0	.	0	.	21	100	0	.	0	.	0	.	0	.	19	71	21	71	0	.	0	.	0	.	7	100	0	.	0	.	46	70	49	66	11	100	9	100	31	96	33	58	0	.	14	100	22	100	0	.	2644	9
	ash	128	40	239	46	48	100	51	79	0	.	27	73	27	72	142	37	210	33	0	.	69	60	14	100	68	76	0	.	89	81	23	71	13	100	46	75	0	.	145	45	8	100	9	100	11	100	0	.	0	.	358	41	294	82	71	51	16	100	35	82	8	100	0	.	0	.	0	.	93	63	0	.	16	100	143	48	46	62	25	71	0	.	24	74	37	53	17	100	0	.	26	71	132	57	87	72	0	.	100	55	62	45	202	49	87	60	0	.	0	.	0	.	0	.	11	100	-9	100	10	100	-27	100	0	.	0	.	0	.	0	.	72	55	11	100	0	.	34	59	50	100	9	100	11	100	0	.	0	.	12	100	41	61	17	78	11	100	15	100	0	.	76	89	0	.	0	.	20	97	59	82	185	58	70	69	123	43	56	58	25	71	58	86	134	50	0	.	4318	10
	oak	56	62	0	.	11	100	26	100	0	.	0	.	5	100	14	100	322	26	0	.	50	100	0	.	6	100	0	.	33	72	19	100	0	.	18	100	59	85	0	.	0	.	42	100	0	.	0	.	57	100	165	45	100	86	71	81	23	100	15	100	0	.	27	100	0	.	0	.	0	.	0	.	0	.	13	100	6	100	0	.	0	.	0	.	111	66	0	.	0	.	10	100	10	100	0	.	0	.	0	.	8	100	122	44	110	46	0	.	0	.	0	.	0	.	13	100	173	58	10	100	17	73	0	.	0	.	0	.	9	100	0	.	0	.	0	.	30	100	0	.	8	100	144	71	9	100	0	.	40	56	9	100	73	87	26	72	0	.	0	.	0	0	0	.	13	100	0	.	0	.	13	100	10	100	14	87	108	55	89	50	69	61	67	72	0	.	2451	12
	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	60	21	72	0	.	0	.	0	.	0	.	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	100	36	54	58	94	0	.	119	46	88	47	8	100	61	71	203	49	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	-5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	631	22
	other broadleaves	59	60	7	100	62	88	33	79	0	.	10	100	104	74	23	72	106	47	31	58	36	75	38	100	10	100	0	.	0	.	22	100	0	.	0	0	0	.	42	84	0	.	30	80	27	59	87	41	6	100	83	47	46	100	11	100	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	38	63	38	78	55	80	7	100	12	100	0	.	78	100	29	100	11	100	0	.	0	.	27	91	18	71	24	71	0	.	0	.	0	.	30	69	39	55	46	53	58	44	0	0	56	56	7	100	0	.	0	.	15	100	170	72	5	100	0	.	0	.	19	71	0	.	0	.	0	.	0	.	9	100	17	71	0	.	55	73	0	.	10	100	31	95	0	.	15	100	31	72	36	75	20	71	32	100	0	.	11	100	52	53	11	100	0	.	1991	12
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	1858	22	1464	29	504	37	3306	20	1111	29	2289	24	8735	12	7449	12	8132	11	4023	15	537	47	475	46	956	32	14	.	722	42	1801	26	2224	21	2732	26	71	76	2105	21	2645	18	1523	19	2760	19	4692	14	4592	12	5192	13	2164	25	3351	19	3474	18	585	36	788	28	695	36	413	39	1236	24	636	35	798	33	2031	26	1441	28	1111	31	1458	24	1105	31	2594	23	1825	22	1372	28	1093	30	1537	31	1274	25	807	25	1818	27	927	26	1328	32	1004	31	979	24	407	38	832	25	990	29	206	39	305	29	458	28	614	25	436	37	667	31	421	41	442	50	632	32	837	37	774	34	540	30	786	39	285	79	938	27	472	48	445	39	703	24	596	37	965	34	1180	28	562	45	419	38	268	56	860	46	2673	16	2501	17	2729	15	641	37	859	32	1508	29	2014	25	1634	23	1140	29	903	32	1013	33	0	.	144411	2
=52 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	303	51	707	47	187	70	768	37	590	46	575	37	4554	14	3227	16	2926	19	920	25	255	100	174	100	182	57	0	.	300	51	585	44	1201	28	465	35	0	.	1339	32	1955	25	962	28	2221	20	3083	17	821	28	932	29	1028	40	1078	29	1500	27	58	71	271	38	236	57	223	73	947	36	226	52	332	40	574	41	348	53	681	55	836	34	951	37	1589	37	535	32	424	42	76	58	352	66	17	100	777	35	607	33	516	43	335	50	339	45	621	39	517	40	746	41	499	46	0	.	43	75	0	.	70	58	31	100	42	100	276	50	404	58	402	48	336	37	199	42	129	57	436	43	0	.	522	35	40	100	291	52	317	32	325	51	116	59	278	53	27	100	363	60	53	71	266	68	1058	30	556	29	1410	25	164	69	286	51	399	48	311	41	238	46	433	44	397	66	196	70	0	.	56885	4
	fir	74	71	37	100	50	74	384	38	65	71	171	41	426	29	3230	17	2145	21	470	29	0	.	0	.	61	100	0	.	0	.	44	100	454	43	142	74	0	.	160	54	87	60	212	68	132	73	329	44	0	.	741	29	264	59	716	30	532	35	214	62	237	48	177	49	192	66	198	47	78	75	139	55	200	74	259	44	32	100	189	65	99	59	424	40	0	.	236	72	128	61	61	71	95	71	224	52	225	41	292	57	36	100	85	100	237	71	0	.	0	.	0	.	0	.	0	.	0	.	260	71	44	71	22	100	154	68	0	.	0	0	177	59	207	82	251	61	44	100	0	.	161	100	46	80	126	71	78	100	92	77	86	71	87	60	84	76	64	100	160	100	27	100	0	.	84	74	175	51	60	72	25	100	132	51	395	36	147	47	0	.	0	.	75	100	0	.	18245	6
	pine	0	.	125	53	47	73	55	74	0	.	0	.	141	71	24	100	209	60	37	71	0	.	0	.	27	100	0	.	0	.	26	100	0	.	84	59	21	100	0	.	0	.	387	36	0	.	85	72	85	63	113	57	0	.	17	100	0	.	13	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	32	100	0	.	0	.	0	.	17	100	100	71	17	100	0	.	0	.	0	.	0	.	0	.	0	.	26	100	30	100	90	62	16	100	19	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	49	100	0	.	0	.	0	.	0	.	51	58	17	84	51	71	0	.	19	100	0	.	40	100	61	74	0	.	50	100	36	100	0	.	2218	14
	larch	3	100	0	.	0	.	82	60	0	.	0	.	161	54	61	74	50	73	0	.	0	.	0	.	0	.	0	.	0	.	69	100	0	.	0	.	0	.	42	100	143	54	66	65	70	59	738	25	1601	21	0	.	0	.	0	.	0	.	0	.	0	.	0	.	38	100	0	.	0	.	0	.	0	.	0	.	0	.	122	71	57	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	46	100	0	.	0	.	0	.	181	90	92	51	42	63	87	63	0	.	28	100	144	61	105	51	266	62	0	.	0	.	18	100	93	82	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1496	23	657	26	537	28	58	100	0	.	0	.	0	.	0	.	0	.	0	.	105	72	0	.	7257	9
	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	.	75	71	278	30	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	186	42	39	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	579	22
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	149	63	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	31	100	28	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	96	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	.	67	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	371	42
	beech	788	39	350	44	166	55	463	45	2	1632	82	71	602	37	647	34	1450	24	201	42	513	63	102	70	339	45	0	.	49	100	127	60	60	76	246	81	0	.	63	106	169	77	89	62	20	100	112	70	0	.	943	26	330	43	141	58	77	100	14	100	24	100	-3	100	33	100	6	100	22	100	0	.	406	57	72	75	36	100	172	57	141	91	364	42	221	44	394	41	109	58	120	64	92	49	19	100	109	100	227	66	63	58	79	75	223	67	0	.	33	71	0	.	117	53	136	74	19	100	135	57	20	100	43	65	97	71	0	.	72	73	205	60	19	100	0	.	287	61	0	.	84	68	0	.	32	100	0	.	21	100	103	58	41	73	24	100	41	72	25	100	70	74	0	.	0	.	55	76	0	.	126	73	115	58	347	40	480	46	152	63	146	67	48	71	0	.	14164	7
	maple	24	100	0	.	0	.	0	.	0	.	0	.	40	59	0	.	22	100	22	71	37	100	0	.	0	.	0	.	0	.	21	100	0	.	0	.	0	.	19	100	13	100	16	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	47	71	16	100	49	75	0	.	47	100	0	.	0	.	0	.	0	.	28	100	0	.	0	.	0	.	44	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	100	73	72	21	100	26	100	0	.	0	.	0	.	22	100	0	.	633	20
	ash	75	100	99	74	33	100	0	.	0	.	0	.	0	.	136	83	0	.	0	.	33	100	0	.	0	.	0	.	0	.	0	.	25	100	71	72	0	.	29	100	43	100	0	.	0	.	0	.	0	.	81	58	33	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	43	100	0	.	0	.	107	72	40	100	0	.	0	.	0	.	29	100	0	.	0	.	0	.	0	.	27	100	0	.	20	100	33	100	125	62	23	100	0	.	0	.	0	.	0	.	0	.	39	100	0	.	0	.	0	.	0	.	0	.	0	.	31	100	0	.	0	.	0	.	0	.	0	.	34	100	0	.	0	.	48	100	0	.	0	.	0	.	93	100	0	.	67	75	0	.	0	.	0	.	22	100	51	100	20	100	54	71	24	100	34	100	0	.	36	100	0	.	1655	17
	oak	41	100	58	71	32	100	197	53	0	.	0	.	0	.	16	100	120	52	0	.	94	74	0	.	0	.	0	.	0	.	22	100	0	.	0	.	94	100	0	.	0	.	0	.	0	.	0	.	0	.	64	58	47	100	55	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	48	100	0	.	0	.	0	.	98	80	0	.	0	.	0	.	39	100	13	100	0	.	0	.	24	100	167	100	149	46	0	.	0	.	0	.	0	.	0	.	0	.	17	100	0	.	0	.	25	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	70	100	0	.	0	.	64	81	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	60	100	0	.	0	.	42	100	68	73	63	76	0	.	0	.	1789	18
	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	.	14	100	12	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	.	178	100	79	100	18	100	82	59	177	67	314	69	41	100	472	41	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	38	77	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1425	26
	other broadleaves	75	75	4	100	0	.	0	.	0	.	0	.	130	60	0	.	106	100	0	.	27	100	0	.	0	.	0	.	0	.	20	100	0	.	27	100	0	.	39	100	0	.	0	.	0	.	13	100	0	.	0	.	0	.	0	.	0	.	28	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	100	0	.	0	.	0	.	0	.	0	.	0	.	18	100	22	100	0	.	0	.	155	73	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	46	71	0	.	0	.	0	.	0	.	55	90	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	100	0	.	0	.	0	.	0	.	34	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	100	0	.	860	24
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	1382	29	1380	30	515	36	1948	24	657	45	828	30	6055	12	7340	12	7176	12	1649	21	959	47	277	72	609	34	0	.	349	46	913	36	1740	28	1034	33	115	84	1690	27	2410	22	1731	24	2442	20	4450	14	2798	16	2873	16	1733	30	2035	21	2109	24	327	45	532	35	410	41	486	59	1151	31	369	42	471	35	1180	33	961	34	853	50	1385	28	1249	35	2442	28	983	25	1071	36	313	44	532	47	289	44	1080	31	941	28	1101	37	716	33	825	38	1342	28	715	37	1068	34	620	40	222	38	261	47	264	49	941	33	240	37	891	32	552	41	404	58	493	47	842	35	495	42	381	45	766	38	0	.	767	40	191	62	449	53	394	32	550	44	305	44	536	35	135	68	578	54	238	79	430	46	2791	18	1355	21	2301	19	322	46	640	41	688	33	1173	28	992	33	687	35	655	48	543	40	0	.	106081	3
total	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	1069	41	1536	41	735	45	2629	27	1997	29	2776	26	15003	11	8515	13	8213	14	3672	17	358	82	291	68	636	57	5	.	1046	42	3237	25	3858	23	2877	27	3	100	3533	26	5341	17	2789	20	5900	17	9532	13	5173	15	3345	20	2255	29	3267	24	5397	20	223	49	1098	28	786	38	501	40	2123	29	987	35	1429	31	2532	31	1416	34	1370	40	2128	26	1834	30	3066	26	1805	25	1053	37	701	45	1148	46	289	41	1504	28	2947	26	1277	31	1560	35	1087	29	1472	31	983	35	1588	28	1681	31	0	.	43	75	13	100	221	71	60	74	202	66	672	42	1238	43	1677	33	855	44	888	38	702	35	1109	40	426	85	1134	28	403	58	514	52	1604	22	646	42	720	36	1044	35	121	54	640	47	164	65	1361	53	3259	18	3444	18	4659	17	803	37	734	36	1473	35	1427	27	1770	25	1151	37	1080	45	816	42	0	.	180646	2
	fir	246	39	66	63	64	78	1288	30	402	39	1133	35	1445	26	7430	13	4999	17	2537	19	4	100	73	72	266	63	0	.	207	66	158	63	1432	35	603	54	0	.	386	54	258	34	289	55	279	67	694	40	0	.	3129	19	1213	33	2978	21	1488	29	650	55	800	34	432	37	516	42	1040	36	334	60	358	56	602	42	811	32	116	71	523	41	307	58	1256	31	77	73	395	57	373	49	281	51	448	37	362	52	783	37	569	42	309	49	259	56	361	65	0	0	78	68	108	100	0	.	0	.	22	100	316	64	247	59	82	80	460	45	0	.	206	66	361	40	410	60	575	47	110	86	19	100	605	42	256	63	344	48	237	51	276	58	430	36	379	44	268	71	389	58	252	81	81	62	84	69	363	56	420	38	142	45	139	52	454	42	1294	31	369	37	49	90	0	.	147	93	0	.	54997	4
	pine	81	52	363	55	82	52	102	69	0	.	13	100	473	62	77	51	639	33	375	44	59	100	83	68	181	47	0	.	14	100	185	77	0	.	436	64	117	72	0	.	195	50	763	34	49	100	542	34	1173	28	509	37	0	.	179	58	0	.	69	100	15	100	0	.	0	.	12	100	0	.	105	100	14	100	32	100	0	.	0	.	0	.	48	100	444	37	130	65	104	47	76	69	178	46	32	100	21	72	0	.	92	55	160	56	248	54	16	100	92	72	52	100	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	199	61	-5	100	0	.	0	.	0	.	18	80	8	100	0	.	33	100	0	.	20	72	0	.	120	73	0	.	0	.	63	100	0	.	905	29	309	29	652	33	0	.	45	100	315	39	117	55	357	42	207	56	228	63	112	59	0	.	12336	8
	larch	21	64	70	51	41	100	220	68	0	.	0	.	282	46	77	71	166	61	0	.	0	.	0	.	31	71	0	.	0	.	84	84	0	.	82	80	0	.	42	100	450	45	373	36	114	47	1444	20	3766	15	19	100	22	100	10	100	0	.	0	.	0	.	0	.	38	100	0	.	0	.	0	.	0	.	10	100	12	100	208	57	57	100	0	.	63	77	0	.	0	.	0	.	0	.	0	.	0	.	46	100	4	100	43	100	0	.	224	74	332	38	256	45	198	57	0	.	73	68	614	33	375	40	485	57	0	.	0	.	18	100	168	55	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	100	0	.	55	73	0	.	0	.	0	.	0	.	3682	19	1926	20	1123	24	58	100	18	100	4	100	0	.	0	.	62	83	18	100	227	63	0	.	17724	6
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	14	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	100	0	.	0	.	153	52	1154	22	0	.	0	.	0	.	0	.	0	.	0	.	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	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	.	484	30	188	37	46	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2050	15
	other conifers	8	100	0	.	34	100	1	100	0	.	3	100	0	.	0	.	287	46	0	.	0	.	0	.	0	.	87	.	1	100	0	.	0	.	0	.	0	.	2	100	3	100	0	.	0	.	0	.	6	71	2	100	60	98	126	100	0	.	0	.	0	.	5	100	0	.	0	.	0	.	0	.	1	100	158	100	1	100	-19	100	5	100	0	.	12	100	5	100	1	100	11	79	0	.	0	.	0	.	2	100	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	1	100	0	.	3	100	0	.	4	100	0	.	0	.	13	100	8	58	0	.	1	100	0	.	0	.	0	.	97	100	0	.	0	.	0	.	0	.	17	100	1	100	2	71	0	.	0	.	21	95	25	68	3	100	0	.	0	.	0	.	0	.	1013	28
	beech	2222	24	975	28	500	36	1968	28	207	50	497	34	2372	24	3118	20	5487	14	3039	16	771	46	915	36	1158	27	0	.	241	56	736	34	836	33	1120	36	0	.	900	32	706	43	471	30	56	70	307	41	0	.	3778	16	1228	31	636	32	1054	31	253	51	193	48	331	38	223	47	313	38	347	44	12	67	1451	37	508	47	1138	41	750	31	730	43	1659	34	1747	21	1287	31	1183	28	914	34	1372	27	293	37	269	84	766	35	399	35	263	40	822	32	0	.	105	54	0	.	454	39	694	36	444	34	784	37	568	35	461	43	375	49	0	.	128	52	421	42	115	49	301	48	529	53	9	100	1041	30	182	85	283	39	201	41	462	42	947	31	415	60	605	48	299	43	194	52	184	56	0	.	2	72	632	31	218	48	454	45	432	41	1195	29	1041	28	622	45	405	45	294	38	0	.	68018	3
	maple	443	34	105	40	36	70	87	50	25	58	223	45	653	26	217	26	175	36	544	23	72	62	149	44	127	48	0	.	35	73	47	70	162	36	13	73	0	.	243	38	65	69	25	80	35	60	54	58	0	.	440	22	84	53	38	45	207	35	17	101	112	49	37	83	98	91	22	76	100	50	109	90	91	45	215	34	127	44	418	36	127	50	618	30	18	63	69	58	127	39	100	40	235	36	140	41	82	56	25	59	166	66	23	171	86	58	1	100	13	100	2	100	6	79	31	70	5	67	0	.	21	93	0	.	91	43	6	100	0	.	178	50	155	70	99	39	22	91	0	.	88	42	0	.	9	100	23	62	21	57	57	48	52	45	4	100	-20	100	0	.	7	100	0	.	9	63	131	39	86	55	129	46	58	54	255	36	97	42	64	69	104	63	76	88	0	.	9341	6
	ash	285	37	455	46	114	58	102	61	0	.	242	52	135	51	507	36	408	28	73	50	251	53	20	74	110	69	0	.	99	76	172	57	288	44	219	56	8	100	350	52	52	98	12	79	149	66	46	73	0	.	940	36	564	77	136	58	62	59	67	87	46	76	2	100	0	.	0	.	310	53	0	.	32	81	471	36	238	41	71	50	70	62	212	43	150	55	24	78	45	63	140	60	176	63	266	61	1	100	183	61	213	37	382	46	186	41	13	100	21	100	0	.	8	72	34	70	76	53	23	60	-13	235	56	62	66	87	10	68	0	.	138	62	58	74	32	89	156	66	71	98	57	75	45	100	0	.	4	100	119	75	169	76	104	68	18	89	188	67	0	.	193	67	35	51	23	76	137	45	132	75	283	50	124	45	332	41	151	42	171	60	142	54	185	55	0	.	12447	7
	oak	175	53	79	64	59	100	229	47	0	.	0	.	13	72	49	75	534	24	0	.	144	81	3	100	109	58	0	.	33	72	41	100	21	57	46	94	578	47	0	.	0	.	42	100	0	.	1	100	62	100	327	49	166	61	162	83	83	100	63	78	0	.	27	100	0	.	0	.	3	100	0	.	0	.	16	100	88	71	0	.	20	82	10	100	288	46	0	.	19	71	11	87	131	50	13	100	0	.	0	.	113	53	421	55	355	36	0	.	0	.	0	.	25	61	62	72	386	36	129	76	60	42	67	80	29	87	0	.	22	100	6	82	17	100	0	.	104	73	0	.	45	85	267	58	49	64	0	.	388	45	9	100	97	68	177	42	10	100	0	.	1	100	17	64	48	67	37	46	0	.	73	84	10	100	27	71	173	55	175	48	149	61	78	71	0	.	7274	9
	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	.	292	56	38	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	34	100	234	85	236	82	344	47	611	32	926	27	370	63	200	49	1313	30	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	34	100	0	.	66	69	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4698	13
	other broadleaves	216	52	242	40	122	74	81	80	5	73	42	79	454	35	156	32	529	38	98	35	160	57	62	66	50	42	0	.	74	70	93	71	36	45	73	59	2	71	154	48	71	46	79	50	172	46	537	26	186	44	294	31	78	63	31	69	53	37	28	100	24	47	23	100	20	74	26	72	34	85	23	84	30	69	0	0	111	46	183	37	142	50	143	48	29	60	22	63	40	68	157	55	73	59	68	53	19	56	107	73	323	55	46	61	135	57	52	55	126	44	32	75	201	37	381	33	712	29	269	30	133	62	351	40	57	47	43	100	20	84	96	53	285	61	27	63	40	57	39	72	35	66	7	100	1	100	11	52	90	69	35	55	146	81	79	73	110	68	5	100	13	77	243	36	111	32	233	35	30	77	100	56	22	64	59	59	18	100	56	60	125	69	90	60	0	.	10440	6
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	4766	19	3891	23	1787	30	6705	18	2635	28	4929	22	20845	10	20147	10	21437	9	10339	12	1817	34	1596	32	2668	26	92	.	1749	33	4753	21	6634	19	5468	21	709	45	5610	20	7150	15	4844	17	6754	16	13603	11	11559	11	12783	11	5669	21	7562	17	8345	17	1370	34	2286	24	1644	31	1396	34	3536	22	2115	28	2036	29	4753	23	3635	23	3201	28	4262	20	3292	26	7011	20	4633	18	2985	26	2592	25	2840	27	2903	23	2677	24	4123	23	2975	25	3179	25	2684	27	3668	22	1324	30	2588	22	2367	25	1236	24	1857	23	2657	17	2738	20	1650	23	3016	21	1751	29	1299	41	2273	29	2218	27	1933	31	1736	31	2070	34	594	66	3019	23	1160	41	1234	37	2080	21	2034	29	2367	25	2511	24	1273	35	1616	38	678	55	1841	43	8760	12	6423	14	8138	13	1468	31	1975	29	2912	27	4730	21	3979	20	2557	26	2252	31	2025	29	0	.	380985	1

Table citation

Abegg, M.; Ahles, P.; Allgaier Leuch, B.; Cioldi, F.; Didion, M.; Düggelin, C.; Fischer, C.; Herold, A.; Meile, R.; Rohner, B.; Rösler, E.; Speich, S.; Temperli, C.; Traub, B.,
2023: Swiss national forest inventory - Result table No. 2280879. Birmensdorf, Swiss Federal Research Institute WSL

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