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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NFI1
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 1983/85
		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	14	56	43	57	31	89	18	64	25	66	46	39	224	17	106	22	237	32	42	37	0	.	25	78	6	82	0	.	16	67	89	38	84	49	47	40	1	100	60	53	68	29	69	27	57	26	162	21	174	21	114	37	49	43	69	36	122	35	14	100	54	66	4	74	16	50	7	70	22	72	38	50	33	79	42	92	22	60	45	39	8	53	45	52	77	48	8	73	25	94	12	100	3	100	13	39	69	56	6	58	38	73	39	44	58	68	5	73	27	38	11	48	-1	100	0	.	0	.	6	71	5	79	7	82	9	72	12	59	35	44	7	54	6	42	23	62	11	64	4	100	20	48	24	58	3	100	46	31	3	71	33	77	15	54	10	76	21	84	0	.	0	0	90	27	134	25	64	30	21	71	16	74	20	76	26	48	37	46	16	85	6	79	45	63	0	.	3510	5
	fir	7	72	3	100	0	.	27	56	8	59	6	71	22	47	118	22	84	34	74	22	0	0	1	100	9	42	0	.	8	62	7	50	13	49	16	70	0	.	3	71	1	100	7	51	4	60	1	100	0	.	66	33	36	69	90	33	26	43	8	54	7	50	6	50	11	63	30	48	3	71	10	72	12	60	11	68	11	76	12	51	1	100	5	68	1	100	8	54	11	70	2	100	20	69	2	164	16	53	6	83	17	65	2	100	0	.	0	0	3	58	2	100	0	.	0	.	0	.	7	100	1	100	2	72	30	61	0	.	10	72	8	56	0	.	5	84	4	100	0	100	25	51	5	96	4	100	1	100	7	50	8	42	13	68	8	100	32	80	1	100	10	61	13	62	8	86	4	45	14	48	5	100	0	.	1	264	4	72	5	71	0	.	0	.	0	.	1092	8
	pine	3	100	1	100	0	.	0	.	0	.	0	.	3	100	0	.	3	100	7	82	0	.	23	100	0	.	0	.	0	.	0	.	0	.	0	.	15	100	0	.	11	59	0	.	0	.	7	54	70	34	0	.	0	.	10	100	0	.	0	.	0	.	0	.	2	100	0	.	0	.	8	100	2	100	0	.	0	.	0	.	0	.	0	.	11	100	0	.	0	.	7	100	2	100	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	105	36	21	43	22	35	0	.	0	.	0	.	4	100	0	.	0	100	0	.	0	.	0	.	348	17
	larch	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	1	100	11	65	22	31	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	3	74	5	53	2	71	0	.	0	.	14	49	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	0	0	.	0	.	0	.	0	.	57	35	17	52	16	83	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	165	18
	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	.	3	72	31	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	.	8	50	3	75	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	45	26
	other conifers	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	9	57	0	.	0	.	0	.	0	.	5	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	1	73	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	1	100	0	.	0	.	2	100	0	100	1	100	1	100	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	72	0	.	0	.	0	.	0	.	0	.	4	60	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	10	83	2	100	0	.	0	.	0	.	0	.	52	26
	beech	33	42	52	45	27	42	66	34	8	74	14	65	84	45	111	25	150	22	199	24	3	100	21	50	41	39	0	.	29	60	32	43	36	45	58	43	0	.	30	39	16	60	17	36	1	100	24	45	0	.	101	35	23	37	42	42	37	41	0	100	15	49	15	67	8	62	19	71	13	60	16	88	47	80	19	77	31	52	28	52	23	62	36	35	97	29	26	42	22	50	16	49	20	43	7	54	5	61	28	58	9	58	14	47	35	54	0	.	6	100	0	.	33	62	78	39	53	39	51	53	63	36	18	51	24	56	0	.	5	84	9	61	4	86	23	62	6	73	0	.	18	47	2	100	9	52	23	44	11	52	34	48	0	.	1	100	10	67	0	.	7	64	0	.	0	.	71	50	3	74	12	85	6	67	9	55	44	39	7	62	9	71	15	57	0	.	2465	6
	maple	18	46	11	77	0	.	2	100	1	100	9	86	20	40	29	38	-1	100	32	38	0	.	5	71	0	9462	0	.	0	.	6	73	6	76	0	100	0	.	14	79	4	71	0	.	4	100	1	100	0	.	5	63	6	61	2	71	5	58	0	.	3	100	0	.	6	100	4	72	2	100	0	.	7	54	5	86	2	100	14	67	3	71	7	55	11	102	4	71	12	55	4	74	5	86	7	51	9	65	2	100	2	100	4	100	3	100	0	.	0	.	0	.	2	100	3	100	2	71	0	.	0	.	0	.	7	66	0	.	0	.	18	64	12	53	11	69	1	100	0	.	9	52	0	.	0	.	3	100	5	74	3	74	3	100	3	100	0	.	0	.	-2	100	3	100	2	100	27	42	3	100	1	100	6	74	10	54	4	74	2	100	12	66	2	100	0	.	448	9
	ash	2	100	7	68	0	.	7	91	0	.	7	78	11	82	21	56	31	54	14	87	7	100	0	.	6	100	0	.	0	.	2	77	36	43	1	100	0	.	14	51	0	.	0	.	19	66	-2	87	0	.	30	37	5	100	8	56	20	73	2	100	9	100	0	.	0	.	0	.	23	69	0	.	2	100	25	84	20	68	0	.	7	74	13	46	5	72	1	100	7	80	6	77	5	100	15	72	0	.	0	.	13	64	12	66	5	77	3	100	5	100	0	.	0	.	2	74	17	46	0	.	8	73	7	73	3	71	2	100	0	.	11	87	5	59	2	100	5	100	0	.	0	.	0	.	0	.	2	100	0	.	13	73	1	100	5	100	5	100	2	100	2	74	2	100	7	72	14	61	0	.	6	71	5	68	15	96	2	100	0	.	8	100	0	.	0	.	574	11
	oak	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	0	14	92	0	.	0	.	0	.	5	100	0	.	0	.	2	100	8	83	0	.	62	58	0	.	0	.	0	.	0	.	1	100	0	100	0	.	3	100	2	100	0	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	100	0	.	3	76	0	.	6	76	0	.	6	100	0	.	0	.	0	.	0	.	3	71	2	100	0	.	0	.	0	.	2	71	5	72	26	48	30	100	1	100	1	100	0	100	0	.	0	.	2	71	-1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	35	58	0	.	4	72	23	81	0	.	0	.	0	.	3	66	6	60	3	69	0	.	0	.	0	.	0	.	0	.	1	100	2	100	0	0	0	.	267	22
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	76	47	48	71	37	115	32	2	100	18	61	99	38	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	393	16
	other broadleaves	4	59	16	61	12	54	4	100	1	100	4	71	44	32	20	32	52	45	18	37	6	60	2	100	6	65	0	.	8	100	6	71	3	71	14	60	3	100	6	79	9	47	10	83	28	51	93	33	21	50	34	32	5	60	3	71	23	42	0	.	3	100	23	94	14	91	3	100	6	50	15	87	7	76	2	100	17	57	10	46	6	94	14	57	6	59	5	71	2	100	4	74	3	71	12	54	11	74	28	84	28	67	12	47	5	82	12	58	16	46	4	71	40	36	71	36	112	42	49	42	25	70	21	40	8	66	29	100	12	88	9	70	7	53	11	46	3	72	20	100	2	99	0	.	1	100	5	65	19	71	3	71	1	100	8	63	5	73	0	.	3	100	49	36	12	47	54	27	2	100	8	76	5	100	8	70	2	100	15	51	5	77	14	61	0	.	1359	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	80	28	138	31	72	48	123	28	43	54	86	32	410	16	405	14	579	17	386	17	16	67	77	57	73	33	5	.	61	44	143	31	186	27	136	29	81	52	129	32	109	24	104	25	113	25	331	17	320	15	353	19	127	37	227	24	233	23	28	64	90	43	48	52	58	44	62	38	69	40	86	34	111	46	105	47	105	32	113	33	51	45	120	27	214	25	52	31	83	37	51	38	63	38	57	36	108	46	72	44	108	36	86	33	108	41	20	43	59	27	35	34	125	31	230	25	325	23	160	32	122	31	156	27	81	49	43	73	70	33	64	36	33	38	75	39	30	42	24	85	77	34	31	50	17	48	79	30	82	38	93	36	38	40	60	49	72	55	3	73	20	54	336	19	210	19	276	20	43	47	48	49	41	51	84	37	95	28	46	41	42	46	80	45	0	.	10717	3
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	67	45	55	80	44	51	89	44	150	41	295	39	899	14	427	22	516	27	224	29	0	.	14	59	30	77	0	.	44	76	313	31	296	42	224	36	0	.	255	40	291	22	298	27	319	28	590	21	661	22	280	50	107	37	103	41	467	28	17	59	124	50	48	59	33	64	44	44	121	45	167	42	138	39	116	41	44	47	216	40	48	57	124	35	233	44	10	78	44	61	8	71	9	75	37	36	242	42	47	41	96	51	116	47	34	52	2	100	140	33	59	48	0	.	0	.	0	.	3	100	2	100	9	71	29	46	72	50	180	52	3	147	39	66	74	55	61	68	28	95	30	53	80	58	28	80	223	33	14	78	78	45	88	42	10	61	54	76	0	.	37	86	362	26	476	21	528	26	27	63	7	92	83	52	23	58	187	32	30	51	7	100	60	47	0	.	12311	4
	fir	27	64	16	74	15	66	126	45	48	52	85	48	84	32	444	18	441	25	237	27	6	100	0	100	21	59	0	.	23	100	16	71	30	71	43	78	0	.	23	81	25	71	3	165	3	100	26	52	0	.	287	31	98	69	255	31	76	34	42	53	44	60	59	51	46	60	103	39	22	77	41	55	57	51	54	49	26	100	44	67	8	69	50	42	0	.	4	71	49	65	40	86	52	48	15	74	58	65	61	46	62	55	47	58	0	.	0	.	9	74	18	100	0	.	0	.	0	.	12	100	5	100	0	.	78	64	0	.	11	63	12	58	9	100	67	56	5	100	0	.	88	39	66	71	45	64	2	100	17	59	24	44	39	64	0	.	54	58	5	100	0	.	36	73	13	85	20	47	14	63	-1	100	34	61	40	62	33	66	2	100	0	.	5	100	0	.	4204	6
	pine	1	100	3	100	5	100	0	.	0	.	0	.	18	76	0	.	0	.	30	67	0	.	0	.	0	.	0	.	0	.	7	100	0	.	0	.	16	73	0	.	10	100	43	75	0	.	93	49	170	32	20	100	0	.	9	100	0	.	0	.	0	.	0	.	0	.	-1	100	0	.	14	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	58	10	100	10	100	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	44	65	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	100	0	.	231	35	70	34	92	40	0	.	-1	100	0	.	7	100	0	.	11	83	8	100	0	.	0	.	964	14
	larch	3	109	0	.	12	100	0	.	0	.	0	.	3	100	0	.	13	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	21	61	10	62	2	100	68	45	127	23	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	100	0	.	4	71	10	66	12	55	5	82	0	.	0	.	42	40	19	74	28	101	0	.	0	.	0	.	11	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	0	.	0	.	155	32	169	33	57	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	814	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	.	6	100	77	29	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	39	53	42	50	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	164	23
	other conifers	6	100	0	.	9	100	3	100	0	.	3	100	0	.	0	.	30	67	0	.	0	.	0	.	0	.	24	.	0	.	0	.	0	.	13	100	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	4	100	0	.	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	5	100	2	100	3	100	0	.	0	.	2	100	0	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	124	31
	beech	170	45	85	32	102	47	200	41	34	66	69	52	248	26	317	21	610	19	639	23	15	71	187	42	144	47	0	.	74	74	100	42	85	47	125	46	0	.	157	37	70	46	51	39	0	.	46	61	0	.	280	23	94	37	104	59	150	38	22	72	66	56	33	55	17	54	46	43	91	54	6	100	176	37	32	51	73	56	63	38	131	47	153	51	343	29	102	62	127	41	75	60	176	34	23	52	4	73	70	40	15	60	29	49	109	40	0	.	6	100	0	.	75	70	171	52	112	42	133	49	196	42	73	51	59	46	0	.	23	100	36	72	16	72	19	66	38	72	0	.	91	44	10	72	30	48	31	66	27	74	122	40	0	.	72	42	19	58	7	100	18	91	0	.	0	.	144	32	9	75	28	71	19	58	79	35	114	32	35	49	48	47	29	65	0	.	8025	5
	maple	28	53	17	60	8	100	9	62	0	.	20	60	76	40	67	32	24	64	125	31	0	.	39	55	12	74	0	.	4	100	0	.	30	45	3	99	0	.	47	52	10	71	3	100	5	100	8	61	0	.	67	41	26	59	8	63	46	67	5	100	14	57	7	100	38	92	0	.	33	55	17	100	0	.	33	48	15	84	95	51	36	61	94	45	11	59	0	.	20	55	14	66	70	40	28	54	10	82	0	.	24	60	13	100	16	72	0	.	2	100	0	.	0	.	11	77	0	.	0	.	9	100	0	.	13	76	11	100	0	.	29	71	42	61	22	54	22	85	0	.	19	58	0	.	0	.	6	100	4	100	38	41	13	57	0	.	0	.	0	.	0	.	0	.	0	.	19	60	13	100	2	100	15	61	73	60	50	74	13	100	37	64	15	71	0	.	1754	8
	ash	27	45	7	59	0	.	20	72	0	.	105	56	37	82	120	37	73	41	34	69	40	60	0	.	0	.	0	.	0	.	68	45	99	58	57	64	6	100	59	74	0	.	0	.	66	70	5	73	0	.	96	40	0	.	10	100	24	72	15	100	26	100	0	.	0	.	0	.	84	74	0	.	11	75	115	47	17	77	12	59	27	71	40	53	33	66	15	100	9	73	36	71	10	71	35	56	0	.	19	71	40	61	11	71	35	57	5	100	5	100	0	.	0	100	0	.	6	74	0	.	18	60	17	76	14	100	4	100	0	.	6	71	11	100	8	73	31	75	0	.	0	.	0	.	0	.	0	.	7	100	58	81	54	84	2	100	11	76	0	.	27	58	7	63	2	100	16	71	18	100	11	100	2	100	53	67	33	64	10	100	56	61	6	100	0	.	2039	10
	oak	20	58	6	100	0	.	17	74	0	.	0	.	2	100	14	83	76	31	0	.	5	100	0	.	24	73	0	.	0	.	0	.	2	100	8	100	107	64	0	.	0	.	0	.	0	.	0	.	2	100	12	72	12	71	3	100	4	100	11	100	0	.	0	.	0	.	0	.	2	100	0	.	0	.	3	100	0	.	0	.	5	100	0	.	27	51	0	.	7	78	0	.	15	71	0	.	0	.	0	.	14	79	40	84	16	74	0	.	0	.	0	.	9	100	29	77	61	49	10	100	28	56	16	90	0	.	0	.	0	.	3	100	10	100	0	.	25	100	0	.	6	100	0	.	13	71	0	.	103	55	0	.	6	100	49	55	0	.	0	.	0	.	0	.	17	100	26	48	0	.	0	.	0	.	4	100	0	.	0	0	14	74	0	0	0	.	881	14
	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	.	120	64	3	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	.	23	100	8	71	76	70	99	66	107	34	276	32	5	100	71	69	239	31	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1039	15
	other broadleaves	17	66	62	46	25	90	22	78	2	100	14	71	61	45	56	36	91	38	21	46	32	46	6	100	13	60	0	.	21	62	15	54	9	78	13	65	0	.	25	65	24	51	24	85	47	61	135	35	49	51	97	39	15	58	14	68	15	70	3	100	10	59	4	100	2	100	7	100	14	84	5	100	4	72	0	0	76	59	39	49	50	82	9	72	10	59	11	85	8	58	31	65	12	71	27	62	0	.	72	66	33	47	21	61	56	49	9	72	39	41	28	93	96	49	126	34	237	28	104	38	54	46	98	40	8	86	4	100	3	100	37	76	19	55	18	62	4	86	17	100	3	100	4	100	5	100	2	100	26	59	6	71	43	85	38	66	11	100	3	100	0	.	75	41	31	45	66	38	0	.	10	59	9	100	11	79	3	100	30	66	28	61	38	55	0	.	2770	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	366	28	250	29	219	33	485	25	234	41	591	29	1428	11	1446	13	1874	13	1310	16	97	39	246	37	245	35	24	.	165	46	518	24	551	29	486	27	129	55	566	26	452	19	432	24	442	25	1097	16	1090	16	1139	18	352	33	511	23	782	22	116	38	285	33	154	36	136	42	199	30	367	32	250	33	384	26	354	29	256	31	481	25	306	36	470	26	657	25	145	55	281	30	221	35	353	27	168	34	313	37	269	32	284	30	296	36	267	28	42	58	219	25	193	36	285	36	443	27	693	22	309	28	400	30	483	22	201	41	91	50	262	40	137	37	148	47	207	47	187	42	46	70	236	28	160	45	120	45	265	30	198	35	326	30	252	34	170	39	150	46	39	69	81	53	913	18	821	16	974	19	81	47	56	50	162	35	298	34	420	28	132	36	198	37	152	34	0	.	35089	2
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	303	50	178	56	150	58	518	32	550	35	941	35	3429	13	1436	19	1668	20	1022	23	17	100	0	.	112	59	0	.	210	60	693	38	789	31	859	38	0	.	736	36	1128	23	462	33	1109	27	2009	19	1750	19	632	37	326	32	762	33	904	25	0	.	176	54	168	53	87	53	330	54	274	52	361	40	776	30	366	45	400	60	515	35	243	54	406	33	451	39	119	50	327	52	33	63	81	60	180	37	766	32	386	43	227	48	167	38	117	49	109	58	218	42	379	43	0	.	0	.	0	.	15	100	0	.	50	66	251	50	359	58	401	39	73	87	315	64	244	50	189	47	229	92	149	36	174	89	89	77	444	28	23	71	82	54	224	42	0	.	54	72	63	75	424	64	784	23	1109	20	1262	26	89	65	174	58	312	45	367	38	571	34	198	46	249	64	222	67	0	.	39546	4
	fir	37	51	12	100	0	.	363	40	232	63	246	44	220	33	1228	19	1167	24	748	26	0	.	30	71	70	70	0	.	74	78	22	100	332	57	210	71	0	.	64	58	47	65	47	71	24	72	83	52	0	.	874	28	313	48	853	25	249	34	138	72	142	44	102	47	130	51	298	40	23	75	68	78	76	54	168	44	53	62	77	55	24	100	276	36	15	100	52	77	74	59	104	77	127	47	13	100	195	37	100	57	24	74	63	84	34	100	0	.	14	100	26	100	0	.	0	.	0	.	0	.	35	100	10	100	112	55	0	.	84	65	42	59	64	60	124	44	0	.	0	.	120	40	133	87	148	54	26	100	31	70	195	42	50	58	23	100	43	72	11	100	26	91	31	100	60	84	60	72	38	71	0	0	86	62	301	39	105	56	22	100	27	100	0	.	0	.	11969	6
	pine	62	63	0	.	13	100	9	100	0	.	0	.	14	119	14	100	79	67	137	52	0	.	25	100	88	51	0	.	0	.	9	100	0	.	153	63	0	.	0	.	158	60	70	56	0	.	210	42	426	37	132	64	0	.	97	71	0	.	9	100	0	.	0	.	0	.	16	100	0	.	30	100	10	100	0	.	0	.	0	.	0	.	0	.	141	66	33	72	36	63	42	73	29	71	28	100	0	.	0	.	0	.	0	.	0	.	0	.	52	80	34	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	102	56	0	.	0	.	0	.	0	.	0	.	17	100	17	100	0	.	0	.	18	72	0	.	127	80	0	.	0	.	34	100	0	.	253	33	126	38	189	37	0	.	3	100	167	60	0	.	60	77	155	78	59	71	0	.	0	.	3485	11
	larch	0	.	0	.	8	100	44	79	0	.	0	.	38	100	0	.	52	100	0	.	0	.	0	.	13	100	0	.	0	.	0	.	0	.	74	100	0	.	0	.	86	51	84	52	0	.	115	38	756	28	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	100	0	.	0	.	44	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	100	0	.	14	100	51	51	42	50	19	73	0	.	-8	100	159	45	107	56	61	100	0	.	0	.	0	.	13	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	677	24	232	39	104	38	0	.	0	.	0	.	0	.	0	.	58	100	0	.	47	58	0	.	2910	12
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	100	328	28	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	79	35	34	57	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	461	21
	other conifers	0	.	0	.	0	.	13	100	0	.	0	.	0	.	0	.	17	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	48	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	46	100	0	.	-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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	9	100	0	.	0	.	0	.	0	.	0	.	151	48
	beech	370	30	222	45	74	68	420	39	117	63	244	42	442	23	784	25	1353	18	871	22	118	71	254	44	348	37	0	.	73	71	196	49	274	40	403	41	0	.	341	45	121	59	133	45	20	100	91	77	0	.	1100	25	392	36	115	46	363	34	24	75	47	63	145	57	71	60	168	50	158	60	0	.	414	42	128	55	391	45	128	44	247	40	522	42	510	27	359	54	401	35	180	63	443	34	127	40	9	100	246	50	34	62	27	100	187	39	0	.	5	100	0	.	70	49	193	34	152	39	98	48	129	38	133	46	68	43	0	.	47	100	80	54	49	65	107	53	120	55	0	.	368	39	24	100	117	37	69	67	209	44	492	39	130	72	282	48	67	60	52	88	10	100	0	.	0	.	138	59	84	70	244	63	113	62	256	45	152	35	104	57	86	66	91	58	0	.	18542	5
	maple	195	39	19	100	0	.	42	66	4	100	126	54	267	36	37	51	112	42	128	34	13	100	40	59	21	100	0	.	0	.	0	.	35	71	0	.	0	.	85	35	35	64	0	.	11	100	14	71	0	.	290	27	46	70	0	.	73	56	19	71	33	58	19	100	30	100	11	100	62	70	33	100	48	52	92	50	30	59	150	46	48	52	157	33	0	.	25	71	51	87	39	78	38	76	23	72	42	65	0	.	40	74	24	72	44	77	0	.	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	32	59	0	.	0	.	61	55	42	71	28	51	17	74	0	.	6	125	0	.	9	100	9	100	8	100	65	64	23	100	0	.	0	.	0	.	0	.	0	.	0	.	34	50	16	100	14	100	14	100	62	47	30	73	0	.	37	100	59	84	0	.	3223	8
	ash	97	62	144	46	60	77	29	100	0	.	88	52	52	66	105	46	130	35	0	.	58	71	0	.	39	73	0	.	46	72	53	80	10	100	57	66	0	.	60	83	17	100	0	.	40	58	0	.	0	.	284	36	111	63	65	60	0	.	5	100	19	78	0	.	0	.	0	.	83	64	14	100	20	100	199	43	72	57	11	100	0	.	66	61	100	53	0	.	20	71	16	100	29	100	35	100	0	.	56	73	37	64	26	75	14	71	0	.	0	.	0	.	0	.	4	100	-9	100	0	.	0	100	12	100	26	100	0	.	0	.	54	59	3	606	19	100	101	72	15	100	44	72	0	.	0	.	0	.	36	82	25	71	41	100	0	.	46	73	0	.	0	.	16	100	0	.	60	56	56	80	32	73	0	.	64	63	35	62	38	100	63	59	24	72	0	.	3172	9
	oak	44	78	52	77	30	100	9	100	0	.	0	.	0	.	13	100	52	57	0	.	0	.	0	.	68	65	0	.	0	.	17	100	0	.	63	88	64	57	0	.	0	.	0	.	0	.	0	.	8	100	72	78	16	100	50	51	0	.	61	70	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	.	30	100	0	.	0	.	9	100	59	51	0	.	7	100	18	100	47	53	0	.	0	.	0	.	51	73	67	100	70	73	0	.	0	.	0	.	16	100	47	87	121	56	5	100	21	72	28	100	0	.	0	.	10	100	0	.	0	.	0	.	46	71	0	.	24	100	45	72	11	100	0	.	31	61	16	100	40	62	33	60	0	.	0	.	0	.	0	.	5	100	9	100	0	.	0	.	0	.	21	100	20	100	53	60	0	.	54	71	0	.	1654	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	.	46	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	.	7	100	30	73	53	76	28	52	172	39	183	42	0	.	19	79	198	38	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	100	0	.	14	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	768	17
	other broadleaves	108	51	84	43	77	63	36	100	0	.	0	.	89	55	68	44	98	44	9	100	57	63	31	73	16	71	0	.	48	100	55	65	0	.	19	100	0	.	36	60	5	100	31	72	91	74	96	35	0	.	149	43	27	63	0	.	0	.	19	104	0	.	0	.	0	.	20	100	12	100	0	.	29	100	0	.	39	77	91	53	32	71	47	84	22	72	0	.	28	73	24	78	62	60	10	71	7	100	35	71	62	59	41	65	45	84	5	100	28	74	17	100	69	76	93	46	243	55	53	54	96	83	80	61	25	80	7	100	0	0	5	100	72	72	-1	100	38	74	0	.	8	100	45	100	0	.	0	.	21	71	0	.	108	77	0	.	15	100	0	.	12	100	61	46	5	100	43	51	0	.	20	75	0	.	36	82	51	83	10	73	41	100	38	71	0	.	3199	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	1219	23	711	30	411	36	1484	22	903	33	1644	28	4550	12	3684	13	4730	12	2916	15	263	46	380	39	774	29	0	.	451	41	1044	29	1440	25	1851	25	64	57	1322	27	1598	20	827	22	1295	24	2680	16	3268	15	3534	15	1231	22	1991	20	1589	19	275	49	418	33	453	38	318	36	842	28	613	34	506	35	1371	24	999	27	1015	33	983	23	595	32	1483	25	1342	24	588	38	944	30	455	35	855	25	416	27	1019	28	822	30	473	32	419	33	512	33	135	48	398	31	552	33	202	38	516	25	682	26	331	28	408	31	572	25	513	33	366	57	643	32	328	33	544	43	521	34	512	40	244	88	735	25	438	49	374	39	548	25	378	31	875	29	744	30	338	43	225	43	160	54	472	58	1928	15	1571	17	1918	19	283	40	486	39	692	30	1117	27	1024	24	640	33	562	40	535	36	0	.	89081	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	511	55	538	41	148	54	1506	30	871	34	1213	29	6835	13	3550	16	3894	17	1274	21	120	74	23	82	382	57	0	.	431	48	1049	29	1124	28	1060	31	0	.	1211	23	1971	22	881	26	2641	18	3362	16	2019	17	1194	21	719	34	1454	28	2113	21	97	71	467	28	363	46	125	44	828	28	323	42	618	36	985	36	493	44	508	41	977	35	814	32	944	28	623	29	591	44	233	42	676	48	183	47	514	28	1197	29	475	33	663	43	526	38	339	33	345	44	391	29	522	32	0	.	11	100	11	100	89	100	13	100	89	71	197	50	375	43	437	33	370	58	412	36	297	37	472	44	77	84	536	32	9	100	222	55	621	27	267	50	372	45	374	40	79	74	158	57	84	76	456	55	1027	21	1172	22	1767	18	350	42	450	42	676	38	637	37	622	35	486	44	513	46	309	47	0	.	70949	3
	fir	86	55	0	.	134	91	696	35	166	46	599	38	535	33	2650	15	1541	20	945	24	9	100	0	.	91	74	0	.	36	64	37	100	456	35	313	51	0	.	204	69	88	42	81	72	157	77	248	49	0	.	1006	24	417	34	1057	22	602	34	262	49	296	38	124	44	125	55	266	38	217	71	98	57	226	59	403	44	69	61	174	47	184	72	662	35	38	78	155	57	128	68	112	41	135	52	115	79	334	43	149	44	55	60	155	59	96	100	0	.	39	100	47	100	0	.	0	.	31	74	31	100	150	61	46	80	84	64	0	.	82	72	106	41	149	59	234	43	47	83	0	.	82	40	41	100	141	49	80	53	68	53	101	49	148	53	120	100	79	80	33	74	7	100	35	100	173	58	216	45	122	65	66	72	257	47	684	32	191	41	12	100	62	100	84	83	0	.	20581	5
	pine	128	55	392	62	36	73	45	65	0	.	8	100	357	57	41	72	419	31	113	49	59	100	0	.	91	50	0	.	12	100	116	92	0	.	211	71	14	100	0	.	75	64	369	38	45	100	155	38	315	36	193	39	0	.	56	71	0	.	43	100	0	.	0	.	12	100	0	.	0	.	14	100	0	.	0	0	0	.	0	.	0	.	79	100	169	41	162	60	74	51	116	58	139	46	0	0	11	100	0	.	93	48	135	58	218	60	14	100	81	76	12	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	37	71	5	100	0	.	0	.	0	.	11	100	0	.	32	100	17	100	0	.	0	.	0	.	132	82	0	.	0	.	0	.	0	.	200	39	84	47	310	49	0	.	26	100	192	38	71	58	229	46	172	53	70	72	109	65	0	.	6318	9
	larch	8	100	72	64	12	100	98	65	0	.	0	.	82	83	15	100	66	80	0	.	0	.	0	.	16	100	40	.	0	.	0	.	0	.	26	72	0	.	0	.	185	52	150	49	42	72	451	23	1590	17	17	100	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	33	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	40	100	0	.	0	.	0	.	32	58	160	42	100	54	87	61	0	.	72	85	89	48	121	47	103	60	0	.	0	.	13	100	31	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	23	100	0	.	0	.	0	.	0	.	1030	19	672	26	297	32	20	100	15	100	0	.	0	.	0	.	0	.	16	100	68	79	0	.	5895	8
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	27	71	425	32	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	94	41	60	59	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	622	23
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	100	45	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	92	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	.	123	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	100	0	.	0	.	0	.	0	.	0	.	0	.	318	51
	beech	768	31	336	38	84	45	371	40	73	53	193	47	896	29	1146	26	2155	18	635	22	120	39	296	40	389	47	0	.	51	100	167	51	177	47	197	52	0	.	331	33	367	58	128	41	13	93	65	69	0	.	1591	20	530	39	236	45	367	40	192	61	35	60	42	69	22	71	128	41	127	73	0	.	544	44	127	71	412	47	337	39	148	42	368	37	394	33	696	31	442	40	375	42	444	29	104	46	190	100	184	45	167	45	78	67	163	59	0	.	47	52	0	.	69	54	103	42	55	45	225	46	23	58	91	51	124	65	0	.	23	76	80	46	33	79	80	52	165	48	0	.	339	47	114	70	130	48	46	55	174	42	194	47	204	53	118	86	99	66	77	55	59	61	0	.	0	.	79	54	58	51	154	51	179	46	320	35	465	35	225	49	217	42	208	39	0	.	21977	5
	maple	147	39	28	72	12	100	29	72	14	100	45	77	143	40	16	72	39	59	130	40	13	100	40	79	42	52	0	.	0	.	10	100	39	67	0	.	0	.	34	47	32	62	12	100	0	.	11	100	0	.	50	66	0	.	0	.	16	100	0	.	14	100	0	.	0	.	0	.	9	100	25	76	6	100	15	100	51	84	70	40	8	100	114	42	9	100	16	100	19	73	9	100	87	43	43	51	6	100	11	100	105	75	13	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	23	100	17	71	0	.	0	.	19	100	0	.	0	.	0	.	0	.	7	100	32	72	0	.	0	.	0	.	0	.	0	.	0	.	9	100	35	80	38	82	17	100	41	54	34	51	0	.	11	100	42	86	0	.	1868	10
	ash	72	58	198	41	39	78	27	76	0	.	12	100	11	100	112	41	141	58	0	.	41	60	12	100	35	74	0	.	46	100	0	.	7	100	113	53	0	.	66	75	0	.	0	.	0	.	0	.	0	.	161	41	40	56	0	.	23	100	96	100	0	.	0	.	0	.	0	.	23	71	0	.	0	.	81	48	41	78	21	71	16	100	21	71	40	72	9	100	0	.	0	.	61	71	71	76	0	.	80	59	23	71	157	55	48	54	0	.	0	.	0	.	0	.	0	.	33	100	13	100	-6	100	0	.	0	.	0	.	0	.	45	71	8	100	0	.	0	.	26	100	0	.	0	.	0	.	0	.	41	100	28	76	4	100	0	.	0	.	0	.	58	77	0	.	0	.	13	100	78	100	113	63	54	52	107	53	60	62	21	71	36	100	95	44	0	.	2769	11
	oak	43	82	12	100	28	100	11	100	0	.	0	.	0	.	0	.	247	28	0	.	63	72	8	100	0	.	0	.	30	73	46	80	0	.	7	100	101	100	0	.	0	.	34	100	0	.	0	.	24	100	211	45	14	100	48	85	0	.	12	100	0	.	8	100	0	.	0	.	0	.	0	.	0	.	31	100	5	100	0	.	0	.	0	.	65	64	0	.	0	.	0	.	-3	100	11	100	0	.	0	.	31	100	67	47	69	47	0	.	0	.	0	.	0	.	0	.	117	64	27	76	45	100	0	.	0	.	0	.	12	100	0	.	0	.	0	.	17	100	0	.	0	.	60	69	7	100	0	.	42	58	0	.	11	100	30	71	0	.	0	.	21	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	177	64	34	73	54	64	37	81	0	.	1912	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	.	18	70	33	75	0	.	0	.	0	.	0	.	0	.	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	100	57	83	0	.	81	41	61	44	20	71	72	61	190	47	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	547	22
	other broadleaves	77	57	26	59	9	100	28	77	0	.	0	.	118	50	20	73	91	37	20	72	24	59	23	100	0	.	0	.	0	.	23	74	0	.	34	100	0	.	37	73	0	.	0	.	8	100	38	59	6	100	32	51	16	71	38	94	0	.	69	87	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	29	79	24	73	19	71	0	.	0	.	0	.	47	100	34	71	27	74	0	.	0	.	30	76	52	100	8	100	0	.	0	.	0	.	14	100	19	53	6	100	36	54	11	100	53	53	30	100	0	.	0	.	11	100	28	103	0	.	0	.	0	.	23	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	58	71	0	.	0	.	16	84	0	.	37	72	17	71	37	78	10	100	0	.	0	.	7	100	23	71	33	81	0	.	1484	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	1840	25	1602	27	502	35	2812	21	1124	31	2069	26	8984	11	7549	12	8606	11	3118	15	449	40	403	37	1045	32	40	.	605	43	1448	25	1803	23	1970	24	115	89	1883	21	2726	19	1654	20	2906	18	4374	14	4411	12	4456	13	1764	23	2934	20	3122	19	771	36	813	27	536	39	284	42	1222	24	699	34	755	33	1762	28	1242	30	1094	29	1640	25	1194	30	2207	21	1339	23	1630	27	895	29	1335	32	1081	26	886	27	1738	26	940	28	1166	31	1182	29	941	26	391	40	726	24	738	27	170	41	214	29	386	38	530	29	429	37	573	30	445	37	375	43	605	31	648	37	653	31	629	29	701	36	114	74	998	26	256	44	517	39	747	25	591	32	702	34	1050	29	347	53	394	44	194	56	600	45	2402	16	2160	18	2735	15	680	35	898	33	1397	30	1859	25	1778	26	957	31	1002	33	986	30	0	.	135241	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	119	51	646	48	70	100	558	37	401	54	544	41	4018	14	2259	17	1888	22	656	29	145	100	159	100	92	60	0	.	175	49	446	42	905	31	362	38	0	.	1261	35	1745	24	763	31	2069	22	2482	18	564	34	449	34	753	37	523	27	832	31	80	62	194	41	177	45	310	57	822	38	171	52	384	35	521	39	320	49	664	47	792	31	908	36	1451	37	286	41	422	38	43	71	199	72	0	.	611	37	410	38	569	44	343	43	287	52	430	41	321	44	699	42	321	60	0	.	24	100	38	100	85	63	38	100	29	71	155	59	334	57	319	50	233	40	249	40	232	45	585	55	0	.	510	37	62	100	188	51	425	31	233	48	102	72	220	53	8	100	272	70	49	70	70	74	1019	29	505	28	1141	26	139	80	245	46	170	58	209	45	139	54	257	43	198	65	196	71	0	.	45299	4
	fir	64	71	32	100	52	71	114	65	54	71	97	60	354	31	2280	19	1288	25	318	38	0	.	0	.	21	100	0	.	0	.	0	.	298	60	0	.	0	.	103	57	78	75	150	85	98	74	333	46	0	.	400	34	250	54	395	36	289	45	189	52	92	71	173	78	187	48	123	79	22	100	296	63	206	48	141	46	28	100	99	61	29	100	138	53	0	.	250	71	119	76	43	72	42	100	175	73	61	74	243	49	0	.	23	100	143	63	0	.	0	.	0	.	0	.	0	.	0	.	262	74	92	80	0	.	170	69	0	.	0	0	178	42	164	91	85	64	76	72	0	.	229	73	29	100	111	79	45	100	224	48	50	71	130	70	51	72	32	100	101	100	19	100	15	100	48	72	202	46	66	73	60	73	25	100	154	53	222	65	0	.	40	100	35	100	0	.	12809	7
	pine	0	.	117	52	29	100	48	78	0	.	0	.	135	71	0	.	238	62	35	71	0	.	0	.	25	100	0	.	0	.	28	100	0	.	121	66	0	.	0	.	0	.	348	36	0	.	61	72	68	64	88	63	0	.	0	.	0	.	18	100	0	.	0	.	0	.	14	100	0	.	0	.	0	.	31	100	0	.	0	.	0	.	0	.	81	71	17	100	0	.	21	100	0	.	0	.	0	.	0	.	0	.	30	100	41	71	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	51	60	15	100	0	.	0	.	0	.	0	.	36	100	37	100	36	100	46	100	57	100	0	.	1909	15
	larch	0	.	0	.	0	.	52	72	0	.	0	.	117	61	51	73	31	100	0	.	0	.	0	.	0	.	23	.	0	.	63	100	0	.	0	.	0	.	38	100	150	55	72	66	35	71	568	30	1388	23	0	.	0	.	0	.	0	.	0	.	0	.	0	.	34	100	0	.	0	.	0	.	0	.	0	.	0	.	120	71	40	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	175	89	88	51	32	83	41	71	0	.	88	100	124	63	56	65	216	60	0	.	0	.	50	100	70	83	0	.	0	.	0	.	0	.	0	.	0	.	21	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1221	24	483	27	497	29	32	100	0	.	0	.	0	.	0	.	0	.	22	100	101	62	0	.	6098	10
	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	.	89	73	204	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	169	43	29	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	491	25
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	141	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	167	66
	beech	526	45	221	47	172	53	256	52	0	.	66	64	509	33	633	31	911	29	103	49	381	73	142	55	154	47	0	.	44	100	127	58	61	72	236	78	0	.	67	94	208	67	158	71	12	100	87	75	0	.	615	31	331	56	222	89	60	72	0	.	0	.	-8	100	21	100	0	.	16	100	0	.	265	48	138	79	0	.	122	76	95	74	56	72	108	63	170	54	111	51	86	52	0	.	0	.	50	100	138	79	0	.	67	100	320	62	0	.	15	100	0	.	51	75	130	62	15	100	96	46	17	100	0	.	54	72	0	.	65	71	112	62	20	100	0	.	123	66	0	.	17	100	25	100	27	100	0	.	18	100	17	100	0	.	11	100	0	.	0	.	24	100	0	.	0	.	85	72	0	.	65	100	31	100	131	54	431	37	65	71	76	100	0	.	0	.	9781	8
	maple	96	60	0	.	0	.	21	100	0	.	0	.	28	71	0	.	19	100	35	131	34	100	0	.	0	.	36	.	0	.	14	100	0	.	0	.	0	.	17	100	13	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	84	78	27	100	16	100	0	.	26	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	.	25	100	0	.	29	100	0	.	0	.	0	.	0	.	0	.	520	25
	ash	60	100	104	64	0	.	0	.	0	.	0	.	0	.	100	100	20	100	0	.	21	100	0	.	0	.	0	.	0	.	0	.	23	100	0	.	0	.	0	.	25	100	0	.	0	.	0	.	0	.	42	71	16	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	100	0	.	0	.	59	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	100	54	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	100	0	.	0	.	0	.	0	.	0	.	9	100	0	.	0	.	0	.	0	.	0	.	0	.	69	100	0	.	35	100	0	.	0	.	0	.	0	.	42	100	22	100	0	.	13	100	30	100	0	.	24	100	0	.	833	23
	oak	0	.	43	71	89	80	147	46	0	.	0	.	0	.	12	100	70	71	0	.	50	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	46	100	0	.	0	.	0	.	0	.	0	.	0	.	23	100	32	100	38	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	100	0	.	0	.	0	.	148	57	0	.	0	.	0	.	37	100	0	.	0	.	0	.	0	.	110	100	141	46	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	104	70	0	.	0	.	44	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	38	100	0	.	0	.	25	100	62	74	60	76	26	100	0	.	1411	17
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	100	26	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	.	169	100	14	100	12	100	56	72	259	62	219	88	37	70	308	41	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	73	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1142	29
	other broadleaves	40	71	0	.	19	100	0	.	0	.	0	.	69	71	0	.	51	100	0	.	22	100	0	.	0	.	0	.	0	.	0	.	0	.	44	72	0	.	0	.	0	.	0	.	0	.	12	89	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	33	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	74	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	100	0	.	0	.	0	.	16	100	25	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	79	90	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	499	28
	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	905	32	1163	31	430	39	1195	28	455	52	707	37	5230	13	5334	13	4658	15	1148	25	653	49	300	59	292	35	59	.	218	44	678	39	1286	31	763	38	46	100	1486	31	2219	20	1493	25	2215	21	3644	15	2250	18	1616	19	1383	29	1178	27	1181	28	287	46	286	36	343	46	552	45	958	35	229	42	681	42	993	29	774	37	802	46	1150	26	1072	34	1671	34	623	30	858	34	273	43	349	44	79	100	786	35	520	33	951	35	441	39	571	42	1076	30	496	42	989	36	366	53	105	47	210	44	401	51	787	37	240	40	568	34	398	45	334	57	434	48	632	32	458	44	317	37	784	44	0	.	756	42	248	54	347	52	470	30	519	39	169	49	377	44	70	63	372	62	150	85	148	47	2476	18	1080	21	2035	19	237	66	476	43	247	44	559	30	868	34	449	35	442	46	439	40	0	.	80960	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	1014	40	1461	38	442	53	2689	26	1997	30	3039	26	15404	11	7778	13	8203	14	3219	18	282	82	221	74	622	54	0	.	876	47	2589	27	3198	24	2552	27	1	100	3523	23	5204	18	2473	21	6195	17	8606	14	5168	15	2669	20	1954	29	2911	24	4438	19	209	52	1016	26	760	40	571	39	2031	29	911	37	1568	30	2453	30	1337	32	1639	39	2546	25	2022	28	2969	26	1671	26	1150	34	671	44	927	50	276	43	1355	28	2684	25	1483	31	1366	34	1135	30	978	29	782	39	1475	29	1291	31	-1	100	35	76	49	81	198	78	58	90	184	59	641	41	1153	42	1373	33	686	49	1019	36	871	32	1318	40	339	90	1244	29	349	60	530	47	1759	23	540	42	667	32	921	33	107	59	559	44	196	59	986	57	3282	17	3395	18	4762	17	627	38	892	38	1261	34	1263	30	1556	25	988	37	973	44	833	41	0	.	171616	2
	fir	221	38	62	62	202	76	1327	30	508	43	1033	33	1214	25	6720	13	4523	17	2322	20	14	72	31	71	213	59	0	.	140	75	82	85	1129	39	582	54	0	.	397	51	239	36	287	50	286	66	690	38	0	.	2634	20	1113	31	2650	20	1243	30	638	47	582	33	464	41	500	39	819	33	287	59	513	51	577	43	777	33	187	51	404	43	246	67	1130	31	55	81	469	60	381	51	301	51	375	36	321	57	663	36	560	39	158	44	291	50	272	63	0	0	65	73	93	100	0	.	0	.	31	74	313	66	283	57	59	82	474	49	0	.	186	64	347	35	387	57	517	44	133	67	0	100	543	41	275	76	448	45	154	55	347	44	378	35	381	50	203	77	241	59	151	85	61	84	131	80	303	56	502	34	255	44	131	50	403	42	1180	30	555	39	41	94	128	100	124	84	0	.	50654	4
	pine	194	44	513	51	82	50	102	65	0	.	8	100	526	56	55	59	740	33	322	42	59	100	48	71	204	46	0	.	12	100	159	75	0	.	485	54	45	65	0	.	255	56	831	33	45	100	526	35	1049	28	434	37	0	.	171	62	0	.	70	100	0	.	0	.	14	85	28	100	0	.	66	100	12	100	31	100	0	.	0	.	0	.	79	100	403	39	212	56	127	43	195	51	180	46	32	100	11	100	0	.	93	48	165	54	260	58	14	100	151	73	49	100	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	187	50	5	100	0	.	0	.	0	.	11	100	17	100	68	100	17	100	0	.	18	72	0	.	260	81	2	100	0	.	59	100	0	.	839	28	316	29	613	33	0	.	28	100	359	44	117	49	326	44	374	50	184	61	166	54	0	.	13024	7
	larch	11	78	76	61	32	73	194	54	0	.	0	.	239	47	66	71	163	56	0	.	0	.	0	.	29	71	63	.	0	.	63	100	0	.	100	86	0	.	38	100	443	40	318	36	80	63	1214	21	3883	15	17	100	4	100	3	100	0	.	0	.	0	.	0	.	34	100	0	.	0	.	0	.	0	.	0	.	0	.	183	60	40	100	0	.	44	76	0	.	0	.	0	.	0	.	0	.	0	.	40	100	0	.	22	100	0	.	225	71	312	36	190	43	154	60	0	.	153	98	429	36	304	39	408	56	0	.	0	.	63	100	125	54	0	.	0	.	0	.	0	.	0	.	0	.	21	100	0	.	2	100	0	.	31	100	0	.	0	.	0	.	0	.	3141	17	1573	20	971	23	52	100	15	100	0	.	0	.	0	.	58	100	38	100	221	53	0	.	15882	6
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	140	57	1065	23	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	391	30	168	36	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1783	16
	other conifers	6	100	0	.	10	100	16	83	0	.	3	100	0	.	0	.	211	60	0	.	0	.	0	.	0	.	30	.	0	.	0	.	0	.	35	100	0	.	1	100	0	.	0	.	0	.	0	.	3	84	1	100	24	100	97	100	0	.	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	.	137	100	6	84	-1	100	3	100	0	.	2	100	2	100	1	100	7	90	0	.	0	.	0	.	1	100	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	72	0	.	2	100	0	.	0	.	0	.	4	60	0	.	0	.	0	.	0	.	0	.	149	100	0	.	0	.	0	.	0	.	15	77	0	.	0	.	0	.	0	.	11	100	27	70	2	100	0	.	0	.	0	.	0	.	813	32
	beech	1867	25	916	28	459	35	1313	29	232	53	585	36	2180	23	2990	19	5179	15	2448	17	636	48	899	33	1077	30	0	.	271	64	621	37	633	34	1018	36	0	.	927	32	782	47	486	35	46	75	312	48	0	.	3687	17	1371	31	718	36	977	33	238	53	163	42	228	47	140	50	361	36	406	53	21	91	1446	36	444	57	908	43	679	33	644	37	1136	32	1452	21	1353	34	1103	26	732	35	1083	27	261	33	257	97	665	39	224	41	215	45	815	34	0	.	80	60	0	.	299	43	675	35	387	33	603	34	427	36	315	43	330	43	0	.	163	58	317	43	121	46	229	47	452	50	0	.	832	32	174	63	313	36	169	39	439	41	859	31	333	57	483	47	195	43	135	55	118	58	0	.	0	.	518	31	154	57	502	47	347	49	796	30	1206	28	437	48	437	40	343	38	0	.	60791	3
	maple	485	31	74	58	19	72	104	54	19	78	198	44	535	28	149	26	194	39	450	26	60	64	124	49	74	47	36	.	4	100	29	82	111	42	3	96	0	.	196	30	93	48	15	81	20	83	35	50	0	.	413	23	78	47	10	51	140	38	25	60	65	52	26	100	74	96	15	76	105	46	76	91	61	44	230	39	125	51	344	39	95	49	398	28	31	57	45	71	103	48	66	56	199	37	102	42	67	50	14	84	171	69	53	47	63	67	0	.	2	100	0	.	2	100	21	72	2	71	0	.	9	100	0	.	62	54	11	100	0	.	108	53	119	51	78	40	41	75	0	.	53	52	0	.	9	100	18	63	16	58	113	52	72	51	3	100	0	.	0	.	-2	100	3	100	2	100	89	43	67	59	79	53	52	47	215	35	118	43	15	100	97	63	118	66	0	.	7814	6
	ash	258	37	460	41	100	64	83	66	0	.	212	49	111	52	458	35	394	36	48	61	168	49	12	100	79	66	0	.	92	76	123	56	174	41	228	53	6	100	199	57	42	100	0	.	124	63	3	77	0	.	613	31	171	50	84	55	68	57	117	84	54	78	0	.	0	.	0	.	234	48	14	100	32	90	480	35	149	44	43	49	50	53	141	44	178	46	26	70	36	68	58	78	105	55	156	55	0	.	155	52	138	39	260	44	103	46	7	100	10	100	0	.	0	100	6	72	47	56	13	100	20	80	36	62	43	93	5	100	0	.	138	57	27	85	28	90	137	65	41	100	44	72	9	100	0	.	2	100	84	74	125	65	101	65	6	78	130	71	2	100	122	73	25	79	9	76	102	49	151	72	204	58	82	55	239	39	142	38	99	67	164	49	148	47	0	.	9388	7
	oak	107	65	113	54	147	62	183	39	0	.	0	.	3	82	38	58	459	22	0	.	117	78	8	100	97	57	0	.	30	73	64	69	10	67	78	80	381	53	0	.	0	.	34	100	0	.	1	100	34	100	318	48	77	55	142	71	4	100	89	57	0	.	26	100	0	.	0	.	2	100	0	.	0	.	35	100	85	72	0	.	8	73	9	100	303	40	0	.	19	71	18	100	101	50	11	100	0	.	0	.	96	56	286	56	298	34	0	.	0	.	0	.	27	68	81	78	324	38	72	68	95	54	45	94	18	103	0	.	22	100	5	80	9	100	0	.	89	79	0	.	30	100	209	68	31	72	0	.	255	45	16	100	61	59	134	44	0	.	0	.	21	100	3	66	28	89	39	39	0	.	38	100	0	.	25	100	223	54	150	45	129	63	117	59	0	.	6125	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	.	225	54	62	81	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	100	215	87	210	66	186	50	487	30	895	29	245	83	217	43	1034	29	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	100	0	.	58	59	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3888	13
	other broadleaves	247	45	188	37	141	56	89	85	3	72	18	71	381	34	164	29	383	31	69	31	141	55	63	71	35	46	0	.	76	78	100	56	12	61	124	72	3	100	103	49	38	51	66	56	175	55	374	30	75	46	312	33	63	40	56	70	38	44	91	72	13	51	27	95	16	81	29	74	32	75	20	90	40	74	2	100	173	49	168	39	113	56	89	53	37	57	16	62	37	62	106	65	110	54	76	44	18	59	135	57	226	55	126	60	115	58	25	65	82	45	49	87	219	45	309	32	597	33	243	32	186	54	266	43	72	71	40	100	15	73	78	76	151	67	27	47	45	63	37	100	36	62	49	92	6	83	7	54	66	58	8	62	152	79	46	65	89	67	3	100	16	82	201	33	48	39	279	46	19	65	74	60	25	72	56	58	56	77	62	55	98	69	122	50	0	.	9311	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	4411	19	3863	22	1634	28	6099	18	2760	29	5097	23	20601	10	18418	10	20447	9	8878	12	1477	34	1407	30	2429	26	128	.	1500	36	3832	23	5266	21	5206	21	435	51	5385	19	7103	16	4510	18	6971	16	12126	11	11339	11	11098	11	4856	20	6841	17	6908	17	1476	33	1892	23	1533	32	1348	33	3284	22	1977	29	2278	29	4621	23	3473	24	3272	28	4367	20	3220	25	5951	19	4175	19	3274	26	2477	24	2410	28	2431	23	2314	24	3700	24	3054	25	2472	26	2554	26	2905	23	1083	32	2391	23	1883	25	886	25	1612	23	2486	19	2117	21	1598	23	2351	22	1639	30	1209	40	2014	29	1808	28	1836	29	1749	28	2214	33	427	76	2803	23	1133	39	1375	35	2109	21	1768	28	2166	24	2461	25	986	37	1214	38	546	54	1321	46	8055	12	5842	14	7936	13	1324	33	1964	29	2540	27	3917	22	4184	21	2224	28	2246	30	2191	27	0	.	351089	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. 2280902. Birmensdorf, Swiss Federal Research Institute WSL

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