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 (“±”).

top

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).

top

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).

top

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.

top

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.

top

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

top

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.

top

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.

top

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.

top

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
grid: 1.4-km grid
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	10	48	37	46	58	46	32	52	27	42	36	33	239	12	87	18	208	25	53	30	0	.	14	78	4	69	0	.	12	54	67	32	88	31	31	36	1	100	60	38	82	22	77	23	58	18	188	15	142	17	91	28	42	33	50	32	90	26	8	100	40	51	6	53	11	45	12	48	31	38	43	35	40	41	50	52	24	44	71	26	19	69	37	37	48	43	9	47	26	65	19	55	9	63	28	43	64	34	6	44	33	52	28	38	34	65	6	46	27	32	11	37	-1	100	0	.	0	.	7	47	3	78	6	55	11	43	9	47	32	34	9	38	7	40	34	32	12	42	2	100	13	41	18	50	3	72	43	23	8	43	20	68	23	46	8	60	14	77	0	.	15	85	97	19	110	19	87	20	18	54	12	62	15	64	20	39	23	42	36	53	4	79	52	42	0	.	3391	4
	fir	7	48	5	50	4	78	21	48	11	40	3	75	16	40	123	16	95	24	60	20	0	0	2	81	13	41	0	.	4	62	5	46	18	38	21	50	0	.	17	78	4	67	10	37	3	52	2	78	0	.	60	22	28	55	56	30	32	31	8	47	15	39	8	46	8	50	31	33	5	53	5	72	12	50	20	36	8	56	7	48	3	88	11	44	1	100	10	48	14	50	1	100	14	53	6	51	16	34	10	63	10	66	4	76	0	.	0	0	1	59	1	100	0	.	0	.	0	.	5	77	6	62	3	63	19	54	0	.	5	72	8	45	0	.	19	45	7	59	0	100	14	51	6	62	20	54	3	62	7	37	11	51	15	45	9	65	18	86	4	75	12	47	15	47	4	86	34	47	19	36	3	100	4	100	12	65	4	59	3	71	0	.	0	0	0	.	1140	6
	pine	2	78	4	53	0	.	0	.	0	.	0	.	8	53	0	.	3	72	4	82	0	.	13	100	0	.	0	.	0	.	0	.	0	.	1	100	8	100	0	.	12	46	4	81	0	.	13	44	92	25	0	.	0	.	5	100	2	100	0	.	0	.	4	100	1	100	0	.	0	.	5	100	3	73	0	.	0	.	4	100	1	100	0	.	7	85	0	.	3	100	4	100	4	78	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	0	0	.	0	.	0	.	4	71	0	.	4	62	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	87	27	34	32	14	33	0	.	0	.	0	.	2	100	0	100	1	90	0	.	0	.	0	.	357	12
	larch	0	.	14	78	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	4	87	2	60	0	100	14	37	21	23	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	7	74	0	.	0	.	3	100	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	71	4	44	3	54	2	58	0	0	0	.	11	40	9	87	1	81	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	1	100	0	.	0	.	0	.	0	.	49	24	29	40	20	40	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	75	0	.	204	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	.	1	72	28	27	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	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	39	7	57	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	49	20
	other conifers	0	.	0	.	1	100	0	.	1	100	0	.	1	100	0	.	7	47	2	100	0	.	0	.	0	.	3	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	8	52	1	100	2	100	1	100	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	1	100	1	100	0	.	1	100	1	100	0	100	2	80	0	100	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	63	0	.	0	.	0	.	0	.	0	.	2	60	0	.	1	100	0	.	0	.	0	.	0	.	0	.	5	100	0	.	0	.	2	100	0	.	0	.	0	.	0	.	1	100	6	82	1	100	0	.	0	.	0	.	0	.	57	20
	beech	50	26	50	30	31	29	60	26	7	55	15	44	67	33	98	21	112	18	161	20	4	58	23	38	34	31	0	.	21	51	26	35	33	33	59	34	0	.	33	31	21	43	14	28	1	71	20	36	0	.	95	24	29	36	29	35	39	31	2	82	12	37	10	61	8	43	17	49	13	51	12	70	46	51	12	72	30	39	20	41	38	42	48	28	107	23	24	32	37	39	31	46	34	39	34	45	5	49	17	57	8	47	20	54	36	42	0	.	5	62	0	.	43	38	53	34	40	31	70	31	50	32	39	47	14	54	0	.	3	85	12	49	3	68	14	60	12	61	4	75	14	37	14	62	6	46	16	37	12	37	25	38	5	46	8	55	10	50	2	100	5	56	0	.	2	100	69	35	5	42	23	56	4	58	15	45	27	36	12	48	24	43	18	46	0	.	2432	4
	maple	19	35	13	50	1	100	3	71	4	61	6	74	38	36	23	33	1	98	30	27	0	.	3	71	0	9448	0	.	0	.	3	73	5	58	1	89	0	.	18	51	2	71	1	98	7	52	3	66	0	.	16	32	5	51	4	71	4	46	0	.	2	72	1	100	3	100	3	58	1	100	1	100	7	38	3	86	3	60	13	52	3	58	10	51	14	57	7	69	10	47	5	52	9	48	10	43	8	50	6	48	12	91	4	73	2	100	0	.	0	.	0	.	2	71	2	100	3	46	0	380	0	.	0	.	7	57	1	100	0	.	14	48	8	44	18	34	16	95	0	.	9	44	5	100	0	.	1	100	3	67	2	74	7	60	2	100	1	100	0	.	-1	100	2	100	5	67	20	33	3	71	4	85	5	60	6	54	2	75	2	74	7	66	1	100	0	.	505	8
	ash	6	66	6	57	1	100	5	74	2	100	8	54	13	59	16	49	25	47	10	71	5	87	2	100	3	100	0	.	0	.	1	77	21	43	16	64	0	.	12	39	1	100	0	.	14	53	3	100	3	74	35	29	3	83	5	56	15	58	1	100	5	100	0	.	1	100	0	.	14	70	8	100	1	100	20	64	11	67	7	65	10	47	8	43	4	60	1	100	5	68	4	64	9	57	10	66	1	100	1	100	8	65	10	56	3	76	2	100	3	100	5	100	8	68	4	59	21	32	4	61	4	75	6	59	2	71	5	67	0	.	10	55	3	59	9	55	6	63	1	72	0	.	1	71	0	.	1	100	1	100	8	62	8	67	2	100	4	73	1	100	3	73	2	72	5	59	17	43	13	67	12	51	3	67	8	91	14	89	0	.	5	100	1	100	0	.	576	8
	oak	2	71	10	68	0	.	10	66	0	.	0	.	0	100	0	0	14	63	0	.	0	.	6	100	4	80	0	.	0	.	1	100	5	82	0	.	43	51	0	.	0	.	0	.	0	.	2	60	0	100	3	78	2	100	1	100	0	.	6	72	0	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	2	100	0	0	4	52	2	100	4	66	0	.	3	100	1	100	0	.	0	.	0	.	1	71	1	73	0	.	0	.	0	.	1	71	6	57	22	38	17	97	11	84	3	63	0	100	0	.	0	.	2	60	1	139	0	.	0	.	0	.	3	78	0	.	9	85	0	.	20	58	0	.	2	72	12	81	0	.	0	.	1	100	3	57	5	52	7	40	0	.	0	.	0	.	0	.	0	.	1	100	3	72	0	0	0	.	259	15
	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	.	33	50	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	.	6	62	11	55	29	44	47	33	108	23	6	63	36	40	60	36	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	.	338	13
	other broadleaves	6	43	26	42	11	43	2	78	3	80	9	57	47	25	16	29	37	37	19	28	4	53	5	65	9	44	0	.	7	73	5	60	7	39	12	45	2	77	8	52	13	37	8	61	33	35	77	24	14	43	38	24	4	51	2	71	34	50	4	63	2	100	14	91	8	91	4	71	5	41	18	58	11	60	3	75	25	56	17	60	6	62	12	44	4	51	3	72	3	61	4	52	15	48	8	48	12	45	20	70	15	66	18	51	8	49	10	50	26	35	8	41	42	29	52	31	100	30	70	27	24	48	29	25	6	56	21	77	8	76	13	42	16	58	12	31	5	55	13	89	2	71	12	86	3	60	4	56	11	65	3	51	2	72	5	57	4	59	0	.	9	82	73	28	29	37	73	24	1	100	5	64	6	57	5	65	2	59	16	38	4	62	15	46	0	.	1437	5
	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	101	18	164	21	107	29	132	22	55	35	77	26	429	11	364	11	504	14	338	14	12	51	68	39	66	24	3	.	45	36	109	26	177	20	140	24	54	46	148	25	139	18	116	20	116	18	356	12	307	12	338	13	114	27	154	21	217	17	29	40	75	30	45	38	41	36	67	25	71	27	91	32	122	28	109	31	104	25	149	22	81	32	127	20	195	19	56	23	104	26	69	31	98	24	99	26	108	27	60	33	85	30	84	28	86	33	18	34	73	20	41	26	126	22	164	21	295	17	192	20	143	23	148	22	63	37	37	53	56	26	67	26	39	36	106	22	58	34	19	61	57	28	56	34	42	36	68	22	63	29	70	29	63	28	48	38	57	44	7	53	45	42	338	13	231	14	346	14	59	30	59	39	38	38	74	27	73	27	70	32	47	34	90	32	0	.	10746	2
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	49	42	49	54	156	41	72	36	146	32	269	27	1018	11	378	16	466	21	236	26	3	100	8	59	28	51	0	.	62	51	235	26	311	27	162	31	0	.	248	29	292	18	295	20	307	20	695	15	508	17	257	32	116	30	76	34	364	23	16	54	92	39	66	42	18	64	63	37	125	32	190	31	148	27	123	30	45	35	202	27	77	43	134	25	167	36	25	46	36	47	42	82	42	81	62	25	261	28	54	28	96	36	136	47	29	42	6	58	99	28	72	34	0	.	6	100	0	.	9	64	1	100	18	54	53	38	44	45	152	40	23	53	46	41	152	28	69	45	16	95	28	41	50	52	28	53	169	26	14	55	62	37	94	33	8	52	33	76	0	.	102	59	378	18	363	18	461	20	52	45	21	70	85	37	21	47	128	29	31	42	19	49	58	39	0	.	12024	3
	fir	36	46	17	52	22	54	92	39	44	49	82	39	82	22	411	15	363	21	213	22	13	79	1	131	21	44	0	.	13	100	9	72	73	40	70	37	0	.	47	58	17	60	32	38	11	64	26	38	0	.	271	22	105	49	193	27	125	37	32	42	41	41	39	44	42	44	100	32	27	55	30	45	42	44	45	37	26	54	40	51	14	52	82	33	0	.	18	47	39	50	27	74	42	35	56	43	49	43	47	39	48	45	27	57	0	.	0	.	10	62	10	100	0	.	0	.	0	.	12	64	4	76	5	82	54	54	0	.	6	63	32	51	6	100	66	36	9	58	0	.	52	37	59	54	42	43	7	54	15	45	42	33	28	53	5	100	31	58	8	74	9	100	40	47	8	75	68	36	50	60	0	100	29	52	42	44	46	39	4	78	0	.	3	100	0	.	4103	5
	pine	8	92	10	69	3	100	0	.	0	.	0	.	27	44	0	.	4	80	16	66	0	.	0	.	1	206	0	.	0	.	4	100	0	.	0	.	9	73	0	.	26	60	40	49	0	.	71	37	204	23	18	68	0	.	5	100	10	83	0	.	0	.	2	100	0	.	-1	100	0	.	8	100	0	.	0	.	0	.	10	71	0	.	2	100	4	100	0	.	17	55	5	100	13	71	1	100	0	.	4	100	8	100	0	.	0	.	0	.	5	71	0	0	0	.	0	.	5	100	0	.	0	.	4	78	13	88	0	.	27	60	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	77	0	.	0	.	13	100	0	.	241	25	108	32	64	35	1	100	-1	100	0	.	4	100	3	100	11	64	5	100	0	.	0	.	1044	10
	larch	2	109	12	73	11	72	0	.	0	.	0	.	2	100	0	.	13	53	15	100	0	.	0	.	0	.	0	.	28	100	0	.	0	.	0	.	0	.	0	.	25	40	18	67	1	150	63	32	178	19	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	67	0	.	0	.	4	100	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	11	100	0	.	3	53	25	59	9	48	12	61	0	0	0	.	40	28	65	85	22	71	0	.	0	.	0	.	7	85	1	100	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	152	21	150	25	73	36	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	957	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	.	9	59	79	22	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	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	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	59	37	35	38	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	202	16
	other conifers	6	72	0	.	5	100	2	100	0	.	2	100	0	.	0	.	18	66	10	100	0	.	0	.	0	.	14	.	0	.	0	.	0	.	7	100	0	.	0	.	0	.	1	100	0	.	0	.	13	56	0	.	0	.	2	100	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	2	100	1	100	2	100	2	100	0	.	1	100	2	100	4	100	0	.	0	.	0	.	0	.	3	100	0	.	1	100	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	.	-1	100	2	100	6	74	3	100	0	.	0	.	0	.	0	.	110	24
	beech	163	30	106	25	112	35	190	31	28	51	85	37	206	21	328	20	512	15	581	18	16	49	134	34	110	36	0	.	73	50	98	35	64	39	123	36	3	100	155	36	50	37	65	37	0	.	50	45	0	.	358	16	96	29	95	43	126	30	16	62	64	42	28	44	18	52	45	34	88	40	17	67	202	41	26	43	56	45	80	33	134	32	139	35	299	22	119	39	142	27	90	42	190	26	65	33	7	71	52	38	18	42	34	39	119	31	0	.	8	72	0	.	75	43	157	36	98	33	119	33	135	35	87	39	46	39	0	.	14	100	58	45	14	55	19	46	38	47	4	75	80	35	41	54	20	42	44	50	32	48	111	30	30	53	56	36	19	46	5	77	37	49	0	0	3	100	141	26	14	42	60	59	27	38	74	29	85	27	59	36	36	40	43	42	0	.	7862	4
	maple	29	37	23	44	17	54	9	49	10	59	11	60	83	27	57	28	37	45	81	28	7	72	54	44	13	47	0	.	0	817	17	91	38	44	13	67	0	.	56	37	11	63	5	74	7	62	5	60	0	.	82	27	37	37	16	75	29	59	5	73	8	58	22	63	22	86	2	100	26	44	16	62	18	52	30	37	22	59	58	49	37	43	91	34	24	41	18	100	21	43	15	49	68	32	29	39	14	46	16	89	26	57	7	100	9	71	13	100	1	100	0	.	3	78	6	78	5	57	6	100	5	100	0	.	13	60	6	100	0	.	19	62	40	49	44	37	43	47	0	.	15	50	3	97	2	100	6	72	6	58	36	39	21	67	0	.	3	100	0	.	5	100	6	100	6	74	21	44	14	71	3	74	21	42	47	56	40	59	20	73	24	59	9	71	0	.	1863	6
	ash	47	30	5	51	27	50	11	71	18	55	92	42	35	56	80	34	71	32	44	50	22	60	7	100	4	100	0	.	0	.	41	46	70	49	39	58	4	80	38	68	0	.	0	.	38	65	8	59	7	73	119	26	8	62	16	65	21	58	8	100	14	100	0	.	0	.	2	100	49	76	9	75	8	63	108	34	23	54	13	48	19	60	32	42	33	49	9	100	13	68	23	65	55	67	37	38	2	100	11	71	30	49	11	51	31	45	1	204	3	100	7	100	10	75	3	133	53	47	11	67	10	60	14	60	9	100	6	74	10	100	8	66	6	100	19	68	43	47	0	.	0	.	8	61	0	.	0	.	7	71	44	61	62	62	6	63	14	54	0	.	43	45	6	54	1	100	16	64	47	54	17	58	4	77	52	56	26	55	7	81	33	61	8	72	0	.	2026	7
	oak	23	43	31	50	4	100	36	47	0	.	0	.	1	100	8	83	52	30	0	.	5	71	13	100	13	74	0	.	2	100	2	100	1	100	12	73	91	51	0	.	0	.	4	100	0	.	17	76	1	100	12	52	16	52	2	100	2	100	27	66	0	.	0	.	0	.	0	.	1	100	0	.	0	.	13	87	0	.	0	.	3	100	3	100	27	35	0	.	4	78	0	0	11	59	0	.	0	.	3	100	8	80	24	85	11	66	0	.	0	.	0	.	5	100	26	51	50	36	16	75	33	49	12	70	0	.	0	.	0	.	23	68	14	72	0	.	15	100	0	.	6	71	0	0	50	56	0	.	61	53	0	.	4	100	31	50	2	100	0	.	12	63	1	100	14	71	23	40	0	.	0	.	3	100	3	100	4	100	4	100	19	66	2	100	0	.	917	10
	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	.	99	46	2	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	.	0	.	0	.	12	100	19	63	53	57	69	53	96	33	289	24	13	52	81	40	193	27	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	100	0	.	1	100	0	.	0	.	4	100	0	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	952	12
	other broadleaves	61	33	70	31	28	55	16	63	15	71	8	71	81	25	71	36	73	33	52	32	27	41	18	61	22	37	0	.	16	52	9	53	19	45	11	54	4	100	33	42	26	37	19	63	51	43	126	25	30	46	112	24	12	46	9	69	27	53	3	71	5	60	2	100	1	100	9	71	14	54	16	59	18	45	1	100	71	47	63	42	45	58	20	46	5	59	7	71	10	42	27	51	12	51	27	41	14	75	41	65	45	39	18	52	57	41	17	58	43	28	23	66	104	34	98	28	196	21	132	28	54	33	83	30	4	86	4	72	10	62	36	49	20	45	22	51	9	57	11	90	6	58	24	74	4	73	3	71	14	59	8	53	25	80	26	55	7	100	1	100	5	100	94	29	44	30	84	27	9	64	11	49	10	61	18	56	6	60	30	57	18	57	46	49	0	.	2935	5
	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	423	18	324	19	385	23	427	20	260	29	549	21	1534	9	1333	10	1611	11	1248	13	93	29	235	27	213	25	14	.	194	36	414	20	577	20	437	21	112	44	578	20	448	15	480	17	414	18	1168	11	1021	12	1227	12	391	23	416	20	704	17	107	30	225	26	161	29	102	35	220	23	331	25	286	24	443	23	346	21	250	24	475	18	329	25	506	18	563	19	197	31	285	21	233	28	433	21	277	20	347	24	228	25	282	22	268	31	256	23	53	38	211	20	173	25	277	24	393	21	696	16	357	18	387	26	439	17	191	30	60	43	220	31	206	27	147	31	324	25	225	27	31	59	187	22	185	30	147	30	228	24	149	28	302	22	296	25	132	31	110	39	28	56	213	34	981	12	733	12	961	13	187	31	111	41	182	24	266	27	341	22	167	27	154	30	169	26	0	.	34995	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	206	43	227	41	300	37	360	28	542	32	705	28	3592	10	1556	14	1417	16	859	21	18	71	5	100	84	45	0	.	289	35	668	26	966	21	580	32	0	.	721	27	1079	19	715	21	1159	18	2167	13	1608	15	669	24	540	31	572	28	982	21	19	71	244	30	241	40	60	47	344	34	268	35	487	28	557	25	563	30	380	52	771	22	195	42	407	24	452	36	110	37	230	45	56	40	120	42	240	31	806	24	249	39	371	35	324	45	204	48	113	51	158	34	294	33	0	.	4	100	0	.	41	51	14	100	48	48	205	40	222	51	421	27	90	52	219	56	448	28	311	40	202	63	132	36	112	77	106	45	538	22	79	44	125	42	230	30	0	.	147	75	43	65	436	40	978	17	1054	17	1315	17	142	38	258	46	347	34	268	33	458	27	148	38	249	43	284	45	0	.	40522	3
	fir	142	47	59	60	45	43	333	31	270	42	207	37	215	26	1383	16	894	20	706	19	7	100	50	55	58	54	0	.	58	63	44	62	272	39	215	45	0	.	78	39	43	55	65	57	43	57	56	46	0	.	954	19	309	35	723	22	298	23	91	62	154	34	132	38	93	41	282	29	69	47	43	64	70	43	169	36	88	41	74	41	129	49	268	30	14	72	129	43	117	55	66	70	149	35	91	46	133	33	77	42	60	40	36	83	19	100	0	.	11	73	14	100	0	.	0	.	0	.	0	.	23	86	90	94	85	46	0	.	49	60	46	42	36	59	144	35	22	73	0	.	91	35	99	74	158	36	59	60	28	51	109	42	86	46	54	80	25	72	17	57	39	57	53	54	53	58	104	40	88	43	54	79	82	44	324	29	162	42	13	100	44	74	19	100	0	.	12361	4
	pine	72	46	29	58	8	100	6	100	0	.	0	.	30	57	8	100	51	62	75	52	14	74	43	51	99	39	0	.	0	.	5	100	0	.	84	63	0	.	0	.	155	46	134	41	0	.	196	32	373	26	168	44	0	.	54	71	14	73	4	136	0	.	20	100	0	.	9	100	0	.	33	71	6	100	0	.	0	.	55	62	0	.	5	100	87	59	19	71	60	61	29	61	64	47	102	58	0	.	19	100	18	100	0	.	48	60	4	100	91	74	20	100	0	.	0	.	45	100	0	.	0	.	0	.	8	100	0	.	76	49	0	.	0	.	0	.	0	.	0	.	9	100	55	85	0	.	0	.	10	71	0	.	72	79	16	100	0	.	18	100	0	.	385	28	114	30	155	32	0	.	2	100	123	51	26	76	54	59	87	78	106	51	9	100	0	.	3681	8
	larch	11	73	0	.	4	100	30	71	0	.	0	.	20	100	0	.	29	100	5	100	0	.	0	.	7	100	0	.	34	100	0	.	0	.	42	100	0	.	0	.	99	37	102	41	9	100	187	33	617	22	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	122	69	0	.	0	.	47	55	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	19	64	45	41	30	42	15	66	25	61	-4	100	167	28	106	44	63	59	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	100	0	.	0	.	0	.	0	.	680	19	352	27	173	23	0	.	0	.	0	.	14	100	0	.	35	100	0	.	27	58	0	.	3129	8
	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	.	17	65	301	22	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	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	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	129	36	59	39	27	67	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	542	16
	other conifers	0	.	0	.	0	.	8	100	0	.	0	.	0	.	0	.	10	100	4	100	0	.	0	.	0	.	0	.	10	100	0	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	3	100	0	.	0	.	29	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	100	0	.	-2	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	.	6	100	0	.	0	.	0	.	0	.	7	100	6	100	0	.	0	.	0	.	0	.	0	.	113	40
	beech	442	21	285	27	198	38	392	32	115	46	282	34	415	20	659	20	1136	16	828	18	113	49	330	34	458	25	0	.	95	53	241	38	322	29	378	31	0	.	339	32	98	46	110	43	19	71	76	55	0	.	1279	17	296	30	143	36	284	28	41	43	129	50	124	45	64	48	133	38	200	38	36	75	344	33	104	44	294	36	227	30	247	28	415	32	438	21	403	34	506	27	134	52	527	22	159	28	32	67	178	43	51	51	32	71	256	29	0	.	19	60	0	.	131	40	168	28	117	33	100	32	100	30	116	36	62	40	0	.	28	100	84	43	61	61	140	36	139	41	7	100	298	34	65	76	80	33	55	51	207	31	457	29	122	50	247	36	57	52	28	88	165	51	0	0	6	100	101	46	144	51	199	50	127	40	237	33	173	29	133	39	111	42	94	41	0	.	18787	3
	maple	171	29	11	100	24	81	41	49	15	85	103	43	236	27	54	43	94	34	94	29	7	100	60	42	28	54	0	.	0	.	6	100	39	52	14	78	7	100	92	31	19	64	0	.	4	170	11	58	0	.	296	22	89	51	0	.	42	56	24	51	18	59	15	77	20	85	12	70	67	46	16	100	28	51	60	46	21	52	98	42	55	44	107	29	0	.	36	67	46	61	23	79	67	39	29	52	25	65	7	100	57	48	19	59	27	77	4	100	0	.	0	.	9	72	4	100	13	74	11	100	0	.	0	.	19	59	8	100	0	.	33	54	30	59	39	37	10	73	0	.	9	78	16	100	5	100	17	77	14	71	63	44	36	58	0	.	0	.	7	100	0	.	0	.	0	.	37	39	41	60	8	100	15	72	95	52	31	51	9	100	21	100	40	71	0	.	3077	6
	ash	126	35	97	42	109	45	16	100	80	100	81	44	55	42	98	34	126	41	27	78	32	71	0	.	30	60	0	.	27	71	32	80	61	57	59	57	0	.	48	66	10	100	0	.	22	58	-4	100	6	100	268	25	85	53	48	52	5	100	3	100	11	78	0	.	0	.	16	100	64	52	20	62	11	100	154	37	61	44	15	72	88	81	73	44	75	47	17	100	21	60	29	58	21	78	39	62	10	81	33	73	31	50	62	51	39	79	7	100	0	.	3	100	0	.	8	146	27	65	0	.	0	100	4	183	16	100	13	100	0	.	36	52	2	418	10	100	78	57	20	71	24	72	64	63	0	.	0	.	20	83	75	59	40	67	0	.	33	65	0	.	25	100	27	58	0	.	53	45	57	54	31	60	25	60	40	56	57	52	57	73	53	47	18	58	0	.	3363	7
	oak	78	46	71	44	16	100	21	59	0	.	0	.	20	87	8	100	136	32	12	100	8	100	26	100	37	65	0	.	9	100	10	100	0	.	36	92	52	50	0	.	0	.	26	100	0	.	51	87	5	100	83	53	9	100	30	51	9	100	37	63	0	.	10	100	0	.	0	.	0	.	0	.	0	.	44	100	23	80	0	.	0	.	5	100	55	43	0	.	4	100	34	76	56	48	0	.	0	.	0	.	31	74	41	100	50	64	0	.	0	.	0	.	9	100	43	57	80	47	18	85	27	45	15	100	0	.	0	.	5	100	23	77	0	.	0	.	27	71	0	0	18	77	35	59	106	58	0	.	74	57	18	71	22	62	30	46	0	.	0	.	41	54	0	.	3	100	9	71	0	.	0	.	0	.	13	100	11	100	32	60	8	100	64	63	0	.	1875	10
	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	.	24	59	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	46	53	36	64	61	54	149	31	147	31	61	57	22	57	175	31	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	100	0	.	4	100	0	.	0	.	9	100	0	.	15	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	766	13
	other broadleaves	158	48	108	35	44	62	19	100	3	100	6	100	103	34	38	44	58	44	37	52	49	54	17	73	27	46	0	.	27	100	37	59	6	100	11	100	15	75	39	43	11	60	18	73	71	54	99	29	2	100	176	28	30	47	4	100	0	.	27	73	0	.	0	.	0	.	20	71	57	88	0	.	17	100	0	.	26	68	74	45	55	47	31	75	12	72	20	66	25	59	52	47	68	44	30	82	4	100	26	60	45	50	24	65	37	67	30	85	39	45	57	67	77	48	124	33	189	41	95	32	78	58	98	39	15	80	4	100	13	100	9	74	48	63	4	113	27	61	0	.	18	80	75	63	0	.	0	.	12	71	7	100	61	77	4	100	14	72	0	.	12	72	51	42	17	77	102	44	0	.	11	75	11	100	36	58	33	73	20	60	29	86	57	52	0	.	3345	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	1407	16	888	20	749	22	1226	18	1025	26	1384	21	4687	9	3804	10	3952	10	2647	12	250	33	532	27	828	21	0	.	549	28	1044	20	1666	17	1425	20	74	46	1316	19	1515	16	1169	18	1326	17	2881	11	2915	11	3893	10	1359	20	1604	16	1634	16	245	34	556	22	541	31	236	29	817	22	725	24	634	25	1041	19	1122	20	894	28	1433	17	770	23	1311	19	1180	20	736	23	1009	22	423	25	1071	18	690	22	1010	21	589	25	664	25	539	31	680	26	181	37	409	24	455	25	300	25	526	19	613	19	493	17	371	22	608	23	409	28	247	47	595	24	329	24	396	36	786	21	615	28	228	58	600	22	520	30	454	27	668	19	444	22	854	21	691	22	351	33	280	44	114	44	717	30	2318	12	1659	13	2090	13	472	28	564	30	737	24	1058	21	980	19	533	26	620	28	611	27	0	.	91562	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	414	42	378	34	203	35	1173	24	588	30	1228	21	6437	9	3863	12	3899	12	1201	18	85	60	77	41	232	52	0	.	647	29	1006	22	1410	20	834	24	0	.	1141	19	1898	17	1249	17	2426	13	3630	11	2007	13	1337	15	878	24	1359	22	1752	20	126	47	543	22	287	39	122	35	830	23	366	31	846	24	849	25	1005	27	393	34	1480	23	650	26	1196	20	539	23	608	30	171	36	404	45	152	37	684	24	1182	22	553	26	729	30	594	36	305	28	271	37	349	22	428	24	0	.	82	73	6	100	74	68	16	71	91	52	195	38	285	37	443	24	360	43	375	27	681	22	547	29	228	49	438	26	103	52	222	38	685	22	311	30	482	28	395	30	80	60	227	53	101	52	526	39	1089	14	1127	17	1819	13	652	30	455	35	804	26	540	29	761	27	381	36	520	31	421	40	0	.	72536	2
	fir	223	32	48	39	122	63	654	26	209	38	490	29	530	24	2648	12	1530	16	1011	17	13	72	76	67	77	53	0	.	116	47	68	66	434	26	275	40	0	.	143	60	125	44	128	42	112	67	172	41	0	.	1120	17	412	25	945	18	536	25	174	42	380	28	121	39	106	41	423	25	188	51	63	50	164	50	295	36	141	39	211	41	217	42	723	27	45	64	173	37	152	41	114	39	170	32	130	48	250	33	118	39	263	48	87	58	58	100	0	.	53	62	25	100	0	.	0	.	17	74	54	62	131	44	46	58	70	51	0	.	51	64	111	44	101	53	319	27	64	61	0	.	119	44	99	48	232	43	93	37	123	54	135	36	129	40	81	84	73	56	59	72	13	75	74	56	110	50	176	38	196	38	202	67	202	37	596	27	265	33	20	75	117	68	109	62	0	.	21250	4
	pine	119	40	271	50	48	51	136	45	17	100	5	100	245	49	24	70	354	25	109	51	134	60	98	75	153	41	0	.	13	71	133	58	0	.	131	62	8	100	0	.	111	46	319	30	25	100	230	32	365	24	203	31	0	.	33	71	17	82	56	72	13	100	9	100	6	100	0	.	0	.	17	70	0	.	55	56	0	.	44	66	7	100	98	63	113	36	126	50	109	44	66	58	190	35	40	92	7	100	0	.	108	44	78	57	192	42	8	100	74	54	7	100	0	.	0	.	5	100	0	.	0	.	41	100	11	72	0	.	26	61	3	100	0	.	0	.	0	.	6	100	0	.	37	63	16	73	0	.	2	100	0	.	86	71	0	.	0	.	0	.	0	.	304	27	61	42	245	37	0	.	28	71	142	32	77	42	255	33	159	42	109	42	90	51	0	.	6426	7
	larch	31	86	63	49	7	100	76	53	7	100	30	100	55	70	9	100	50	62	0	.	0	.	0	.	9	100	23	.	30	100	26	100	0	.	15	72	0	.	0	.	147	41	157	35	47	62	584	17	1463	13	9	100	24	90	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	135	51	0	.	0	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	23	100	7	100	0	.	0	.	61	38	152	29	66	47	55	54	0	.	38	85	256	29	96	36	75	48	0	.	0	.	8	100	22	50	0	.	32	100	19	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	71	0	.	0	.	0	.	0	.	1281	14	619	20	390	22	12	100	8	100	24	100	28	79	0	.	31	72	15	73	40	80	0	.	6391	6
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	28	48	421	23	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	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	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	103	27	57	47	29	65	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	655	16
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	100	27	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	55	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	.	7	100	0	.	0	.	0	.	0	.	0	.	0	.	190	49
	beech	773	20	391	25	255	32	318	32	62	41	298	28	784	23	809	21	1727	15	770	20	163	37	390	31	577	27	0	.	115	53	168	37	275	33	297	34	0	.	323	28	233	54	88	38	15	69	69	43	0	.	1418	15	501	28	330	34	337	32	192	40	42	42	136	60	39	54	135	32	172	46	5	74	406	37	164	40	300	39	334	32	292	31	338	28	339	25	720	23	379	30	357	31	535	22	218	32	142	81	219	32	136	40	47	67	162	40	0	.	72	35	0	.	96	42	93	32	60	38	178	36	111	43	108	33	85	59	0	.	13	75	70	41	81	61	138	40	249	36	0	.	235	40	83	58	74	49	41	41	114	38	264	32	219	38	96	65	98	51	53	48	172	41	0	.	0	.	45	55	117	46	211	36	275	30	363	26	385	28	193	41	186	32	188	33	0	.	22061	3
	maple	93	35	16	71	6	100	29	52	8	100	26	77	113	32	9	72	50	60	96	34	20	73	47	53	23	51	0	.	15	100	6	100	22	67	0	.	0	.	52	40	18	63	6	100	4	100	7	90	0	.	79	35	2	100	9	100	28	61	7	100	8	100	15	71	0	.	0	.	25	82	12	77	8	71	23	74	34	72	44	37	11	71	101	36	5	100	25	73	15	59	5	100	63	37	26	51	4	100	7	100	82	60	13	71	0	.	0	.	0	.	0	.	14	100	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	14	100	14	100	22	51	20	60	0	.	16	74	0	.	0	.	0	.	0	.	4	100	18	72	3	100	0	.	0	.	7	100	0	.	0	.	5	100	27	65	32	64	65	63	25	54	48	42	6	100	7	100	25	88	0	.	1695	8
	ash	74	37	163	33	36	53	46	51	0	.	27	61	20	61	69	39	176	34	25	51	54	53	7	100	24	64	0	.	40	72	0	.	44	60	104	44	0	.	48	64	6	100	0	.	0	.	0	.	0	.	163	29	41	46	15	60	30	73	52	100	0	.	5	100	0	.	0	.	23	59	0	.	9	100	87	42	28	66	22	59	31	52	24	50	23	72	12	71	5	100	0	.	42	60	43	76	0	.	47	59	14	71	111	49	75	48	0	.	0	.	0	.	0	.	0	.	23	80	7	100	-3	100	5	100	0	.	0	.	0	.	26	71	5	100	4	100	11	100	45	75	0	.	49	75	0	.	0	.	22	100	28	54	2	100	0	.	6	100	0	.	35	76	0	.	0	.	7	100	103	57	73	58	59	46	71	47	44	51	19	58	32	69	67	41	0	.	2604	8
	oak	80	50	50	59	65	65	15	71	0	.	0	.	7	100	0	.	308	21	-3	100	65	49	4	100	16	71	0	.	16	73	27	81	19	82	33	64	93	69	0	.	7	100	46	72	0	.	13	98	15	100	184	36	13	72	29	85	7	100	7	100	0	.	4	100	0	.	0	.	0	.	0	.	8	100	48	73	3	100	0	.	4	100	0	.	60	44	7	100	15	100	19	58	21	80	6	100	0	.	0	.	24	80	57	45	45	43	0	.	0	.	0	.	0	.	10	100	63	64	27	53	34	77	0	.	0	.	0	.	7	100	10	100	0	.	0	.	28	73	0	.	0	.	93	54	4	100	0	.	46	58	37	100	38	86	44	56	11	100	0	.	43	48	10	100	0	.	0	2194	0	.	0	.	11	100	0	.	105	65	32	59	42	54	44	54	0	.	2178	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	.	16	53	19	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	26	62	46	64	8	100	156	43	92	34	50	52	61	48	115	44	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	596	17
	other broadleaves	112	43	77	40	16	55	15	75	6	100	0	.	92	43	19	59	52	37	11	72	25	45	13	100	0	.	0	.	24	100	13	73	0	.	27	77	0	.	23	73	0	.	0	.	5	100	30	47	6	71	47	35	29	58	22	95	0	.	42	78	0	.	0	.	0	.	0	.	19	60	8	100	8	100	0	.	14	75	17	79	23	52	26	65	4	100	5	100	0	.	41	74	25	59	22	59	0	.	0	.	16	77	33	85	5	100	2	100	10	70	0	.	24	54	33	44	47	71	24	48	13	61	40	44	18	100	0	.	0	.	6	100	15	103	0	.	9	100	0	.	13	58	0	.	20	100	0	.	0	.	0	.	0	.	0	.	34	71	0	.	0	.	20	55	0	.	59	63	10	71	21	78	49	48	0	.	0	.	53	78	19	59	43	57	0	.	1556	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	1919	16	1456	19	759	22	2463	16	897	25	2103	19	8287	8	7450	9	8160	9	3220	12	560	27	713	26	1111	21	23	.	1017	25	1447	19	2205	17	1720	18	101	64	1730	17	2549	15	1995	14	2633	13	4778	10	4296	9	4559	10	1915	17	2770	16	2706	16	655	26	986	20	576	30	273	30	1388	18	793	26	951	23	1464	21	1732	20	914	23	2286	18	1235	21	2505	15	1134	18	1676	19	845	21	1006	26	1198	18	1169	20	1584	20	967	21	1381	22	1021	27	841	21	341	31	734	17	572	21	196	28	374	27	351	26	670	19	458	25	521	25	385	30	285	37	552	23	621	29	592	25	1196	20	949	23	279	44	821	22	464	28	569	29	819	20	618	24	950	21	984	21	304	38	450	37	213	41	797	29	2881	10	1974	13	2778	11	1118	24	1031	26	1638	20	1700	19	1863	19	893	24	1047	24	1028	26	0	.	138137	1
=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	149	42	420	41	124	55	698	29	234	54	563	30	4270	11	2450	14	2360	15	786	21	100	84	90	100	90	55	0	.	281	36	393	31	773	24	543	34	1	100	939	29	1833	18	1105	23	2252	16	2679	15	743	21	791	24	656	27	498	24	744	24	118	56	299	48	98	46	289	43	726	27	185	38	552	26	539	29	381	34	426	41	944	26	596	33	1427	26	179	38	505	38	24	71	135	59	37	76	700	32	627	28	584	35	337	39	171	53	295	35	294	33	703	28	362	36	0	.	27	70	20	100	71	54	21	100	128	88	157	54	357	45	373	39	319	30	378	33	434	33	484	39	72	77	324	33	82	62	189	39	311	27	310	32	326	40	212	34	4	100	149	70	66	52	139	48	1179	19	464	21	1364	21	315	47	143	46	281	50	265	33	263	33	281	37	217	44	170	51	0	.	47994	3
	fir	85	52	19	100	61	61	207	39	46	58	141	42	598	26	2437	15	1285	20	382	26	0	.	27	71	19	72	0	.	53	78	15	100	322	40	50	74	0	.	216	65	63	60	273	42	68	62	241	38	0	.	563	24	300	41	346	28	198	39	133	44	213	40	94	78	128	44	318	32	27	71	186	60	143	43	108	39	56	52	88	48	17	100	311	38	14	100	183	55	112	52	69	62	53	59	147	51	101	47	230	45	45	58	13	100	86	63	0	.	72	86	38	100	0	.	0	.	0	.	158	67	136	44	39	100	103	69	0	.	31	100	140	37	90	90	106	42	145	57	0	.	163	59	71	63	214	43	39	74	126	48	92	46	110	51	28	71	64	77	55	100	11	100	87	69	50	51	128	43	70	51	64	60	29	71	220	44	183	54	13	100	22	100	44	71	0	.	13833	5
	pine	14	100	164	42	16	100	97	49	0	.	0	.	93	62	0	.	165	52	54	69	0	.	10	100	43	75	0	.	14	100	41	72	0	.	71	67	0	.	0	.	0	.	192	37	0	.	119	63	59	48	124	43	0	.	0	.	0	.	10	100	0	.	0	.	0	.	8	100	0	.	10	100	0	.	42	72	0	.	0	.	0	.	0	.	73	58	35	58	0	.	13	100	0	.	0	.	0	.	0	.	0	.	29	71	49	51	0	.	20	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	140	65	15	72	9	100	0	.	0	.	10	100	20	100	111	63	41	71	28	100	94	75	0	.	2045	12
	larch	0	.	42	100	0	.	30	71	0	.	14	100	70	61	27	72	19	100	0	.	0	.	0	.	0	.	13	.	0	.	52	73	0	.	0	.	0	.	22	100	128	41	95	46	64	47	541	21	1260	19	13	100	53	100	0	.	0	.	0	.	0	.	0	.	19	100	0	.	0	.	0	.	0	.	29	100	0	.	73	71	23	100	0	.	12	100	9	100	0	.	0	.	0	.	0	.	0	.	16	100	12	100	0	.	0	.	165	66	119	34	19	73	22	72	10	100	47	100	184	38	32	66	140	51	0	.	0	.	29	100	38	83	10	100	0	.	12	100	0	.	0	.	0	.	12	100	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	1397	16	619	20	499	24	18	100	0	.	12	100	0	.	0	.	0	.	63	82	58	61	0	.	6152	7
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	76	54	285	25	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	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	.	120	37	26	52	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	520	18
	other conifers	0	.	0	.	0	.	16	100	0	.	0	.	0	.	0	.	99	64	0	.	0	.	0	.	0	.	0	.	30	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	.	16	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	.	29	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	199	39
	beech	541	30	164	40	179	39	211	41	11	100	89	49	626	27	379	30	976	22	154	43	319	53	126	41	188	42	0	.	38	73	105	46	163	38	284	58	0	.	118	57	132	64	92	72	8	100	76	55	0	.	546	24	229	47	225	57	98	47	48	79	0	.	43	110	39	75	11	100	21	71	0	.	165	46	134	51	14	91	99	59	93	50	60	50	76	55	219	38	62	51	79	42	103	56	20	71	29	100	210	45	30	71	41	100	291	43	0	.	16	71	0	.	90	59	77	57	8	100	133	36	55	70	41	58	33	72	0	.	35	71	67	62	32	58	0	.	109	55	0	.	10	100	37	73	15	100	0	.	11	100	16	72	29	71	6	100	29	100	12	100	82	55	0	.	0	.	53	65	14	100	208	49	192	68	123	43	260	36	39	71	98	54	42	73	0	.	9934	6
	maple	52	60	0	.	0	.	13	100	0	.	0	.	37	51	0	.	55	67	19	134	47	72	0	.	0	.	20	.	11	100	8	100	0	.	0	.	0	.	16	73	8	100	0	.	0	.	9	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	71	0	.	0	.	50	79	16	100	9	100	9	100	42	74	11	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	.	14	100	0	.	16	100	9	100	0	.	0	.	0	.	0	.	491	20
	ash	66	71	63	64	0	.	0	.	0	.	0	.	0	.	56	100	103	59	22	71	37	74	0	.	0	.	0	.	0	.	0	.	13	100	29	100	0	.	7	100	15	100	0	.	0	.	0	.	0	.	36	58	9	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	34	71	0	.	0	.	15	100	0	.	12	100	0	.	0	.	0	.	11	100	0	.	0	.	0	.	15	100	45	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	0	.	17	100	0	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	42	100	0	.	21	100	0	.	0	.	0	.	0	.	37	75	53	80	0	.	8	100	16	100	0	.	14	100	0	.	825	18
	oak	24	100	189	48	94	56	88	46	0	.	12	100	0	.	7	100	115	41	0	.	58	62	0	.	0	.	0	.	0	.	0	.	15	100	35	100	26	100	0	.	0	.	0	.	11	100	22	100	0	.	92	77	19	100	23	100	12	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	43	76	0	.	0	.	0	.	173	47	49	67	0	.	14	100	35	72	0	.	0	.	19	100	0	.	62	100	132	37	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	-7	100	11	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	195	49	0	.	0	.	44	71	0	.	12	100	0	.	13	100	0	.	9	100	0	.	0	.	0	.	21	100	21	100	0	.	0	.	14	100	41	64	58	54	42	75	0	.	1844	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	.	38	85	30	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	.	0	.	195	56	8	100	7	100	69	56	249	43	420	45	20	71	178	40	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1230	21
	other broadleaves	41	59	27	100	11	100	0	.	0	.	0	.	47	61	0	.	67	59	0	.	37	74	54	100	0	.	0	.	11	100	0	.	0	.	26	71	0	.	0	.	0	.	0	.	0	.	28	67	0	.	0	.	13	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	100	0	.	0	.	0	.	0	.	16	100	0	.	0	.	0	.	0	.	0	.	0	.	39	100	0	.	12	100	0	.	0	.	0	.	14	100	0	.	6	100	0	0	0	.	12	73	0	.	0	.	0	.	9	100	14	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	43	90	0	.	25	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	571	20
	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	972	22	1088	23	486	26	1358	20	292	48	821	26	5741	10	5355	11	5245	11	1416	17	597	35	308	39	340	30	33	.	438	35	615	28	1287	21	1038	30	28	95	1317	24	2179	16	1763	21	2404	15	3829	12	2376	14	2166	14	1279	22	1093	21	1053	22	310	35	512	37	235	42	475	34	1062	22	264	30	748	28	847	23	777	26	581	37	1212	22	753	29	1839	23	566	23	1016	29	199	36	310	33	238	41	867	28	757	24	1060	28	479	33	360	39	864	24	458	32	1125	22	427	33	132	43	183	34	331	38	965	25	264	30	531	32	305	41	357	45	469	36	585	26	524	31	540	27	750	33	88	66	496	36	399	35	431	34	351	25	491	28	433	32	400	28	39	63	296	48	133	60	263	32	2923	13	1175	15	2112	16	438	38	512	33	578	35	644	26	858	25	432	29	486	32	465	31	0	.	85639	2
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	828	32	1112	30	841	30	2335	20	1537	26	2801	19	15555	8	8334	10	8350	10	3134	15	206	65	195	50	438	43	0	.	1292	28	2369	20	3548	17	2150	21	2	75	3109	18	5184	14	3441	15	6202	13	9359	9	5008	11	3144	14	2233	21	2556	20	3932	16	287	39	1218	21	697	34	501	32	1975	21	974	27	2118	21	2133	21	2122	24	1269	33	3466	17	1536	23	3200	19	1384	22	1257	26	488	36	655	40	359	35	1714	22	2940	18	1446	24	1566	26	1252	30	867	26	689	30	1336	21	1167	23	-1	100	120	66	26	81	203	46	55	67	291	47	621	32	918	35	1422	24	801	33	1025	26	1749	21	1422	26	520	47	935	23	364	41	548	32	1746	17	723	26	1015	25	954	23	101	51	570	45	210	41	1217	33	3721	12	3118	14	5045	12	1179	28	889	33	1532	25	1113	24	1634	21	877	29	1008	29	984	32	0	.	176466	2
	fir	493	33	148	34	255	45	1306	23	580	33	924	25	1442	20	7003	10	4166	14	2371	15	33	59	157	58	188	43	0	.	245	45	141	62	1119	27	630	35	0	.	501	38	252	39	508	29	237	50	496	31	0	.	2968	15	1154	24	2263	17	1189	22	439	40	804	25	393	33	376	33	1153	23	316	38	326	46	431	36	637	26	320	34	420	34	380	37	1394	26	74	61	513	36	433	33	277	43	428	26	430	32	550	27	482	30	427	37	168	49	162	63	0	0	147	66	87	71	0	.	0	.	17	74	229	52	301	39	183	63	331	43	0	.	143	51	337	33	233	53	655	28	247	42	0	100	438	33	334	48	667	34	201	39	298	37	389	26	369	34	177	60	212	49	144	59	84	55	269	52	226	43	510	25	424	28	323	64	347	33	1194	24	660	33	53	66	183	67	175	58	0	.	52687	3
	pine	215	33	478	36	75	41	239	42	17	100	5	100	403	43	31	58	577	26	258	43	148	61	164	60	296	37	0	.	26	78	183	51	0	.	287	50	25	65	0	.	304	38	689	26	25	100	629	31	1093	19	512	27	0	.	97	61	43	64	70	71	13	100	35	100	7	85	17	100	0	.	73	71	9	81	98	58	0	.	112	63	8	87	104	60	285	33	181	44	189	37	116	49	271	32	145	53	7	100	24	100	134	41	107	48	289	38	13	74	190	56	29	100	0	.	0	.	54	100	0	.	0	.	45	98	36	77	0	.	133	44	3	100	0	.	0	.	0	.	6	100	9	100	103	70	16	73	0	.	12	63	0	.	167	71	17	94	0	.	32	100	0	.	1157	22	333	23	487	27	1	100	29	71	275	36	130	38	423	35	299	40	247	40	194	51	0	.	13553	6
	larch	44	72	131	42	23	61	135	47	7	100	44	100	147	45	36	71	114	47	20	100	0	.	0	.	16	71	36	.	92	100	78	71	0	.	57	86	0	.	22	100	403	29	374	27	122	42	1389	15	3539	12	23	72	77	97	2	100	0	.	0	.	0	.	0	.	19	100	0	.	0	.	0	.	6	100	29	100	1	100	344	44	23	100	0	.	71	60	9	100	2	100	1	100	0	.	0	.	0	.	40	72	19	100	12	100	0	.	248	48	344	24	126	37	104	49	35	68	81	98	658	23	307	38	301	42	0	.	0	.	37	100	74	50	11	89	34	100	32	100	0	.	0	.	0	.	12	100	0	.	1	100	0	.	46	61	0	.	0	.	0	.	0	.	3559	12	1768	15	1155	18	30	100	8	100	36	100	42	71	0	.	66	63	78	77	129	52	0	.	16833	5
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	6	100	0	.	130	42	1114	17	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	21	100	0	.	11	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	.	8	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	418	24	185	28	67	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1969	12
	other conifers	6	72	0	.	6	100	25	70	1	100	2	100	1	100	0	.	148	51	16	100	0	.	0	.	0	.	17	.	39	100	0	.	0	.	19	100	0	.	1	100	0	.	1	100	0	.	0	.	24	49	1	100	16	90	59	99	0	.	0	.	0	.	1	100	0	.	0	.	2	100	0	.	0	.	83	100	3	82	-1	100	2	100	3	100	17	93	1	100	4	87	4	90	0	.	0	.	0	.	1	100	3	100	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	63	0	.	1	100	0	.	0	.	0	.	2	60	0	.	1	100	0	.	0	.	0	.	96	86	0	.	5	100	0	.	0	.	9	77	0	.	0	.	0	.	-1	100	17	72	18	63	13	75	0	.	0	.	0	.	0	.	670	24
	beech	1969	17	996	20	776	26	1171	23	222	39	769	27	2098	18	2273	15	4463	12	2493	14	615	34	1003	25	1367	20	0	.	343	44	638	30	858	25	1141	27	3	100	967	26	535	42	369	31	42	59	292	36	0	.	3696	12	1151	24	823	28	884	26	299	34	247	35	340	43	168	39	341	26	494	33	70	59	1164	29	440	37	694	34	760	27	804	25	999	24	1260	16	1486	23	1126	21	691	26	1389	19	496	24	214	71	676	29	243	38	174	37	864	24	0	.	120	38	0	.	434	28	548	27	324	27	600	23	450	28	390	29	239	39	0	.	94	59	291	33	190	51	311	35	548	34	14	74	637	28	240	41	196	34	156	30	376	30	873	23	406	35	413	36	213	39	100	47	461	33	0	0	11	100	409	25	294	42	702	32	625	34	811	24	930	23	436	35	456	28	385	32	0	.	61077	3
	maple	364	25	63	44	49	49	94	40	36	52	146	37	507	20	144	25	238	30	319	21	80	46	165	33	64	36	20	.	27	92	40	64	104	33	27	71	7	100	234	25	59	45	13	60	21	50	35	40	0	.	472	18	133	41	29	59	103	32	35	51	36	51	53	54	45	86	17	52	139	38	45	75	61	32	166	34	96	41	223	35	115	36	351	23	54	35	86	59	92	36	48	48	207	29	94	34	51	41	36	68	177	46	43	38	38	68	17	100	1	100	0	.	28	77	12	72	22	58	17	106	5	100	0	.	45	48	15	72	0	.	80	43	92	44	123	27	90	43	0	.	50	41	24	82	7	75	25	57	22	46	104	37	82	44	5	73	4	73	7	100	11	79	8	82	11	51	83	31	84	44	61	44	106	44	189	34	130	30	36	59	59	60	75	61	0	.	7630	4
	ash	319	24	335	35	172	37	79	47	100	86	208	34	123	34	320	29	501	27	129	40	150	45	16	72	60	53	0	.	67	64	74	56	209	35	246	39	4	80	153	47	33	80	0	.	74	58	7	81	16	72	622	21	147	38	85	40	72	41	63	84	30	78	5	100	1	100	18	100	162	42	36	50	30	68	402	28	123	35	57	42	164	54	138	33	146	37	38	55	44	62	56	53	139	39	129	42	13	76	91	52	98	34	239	35	147	44	10	83	5	100	15	81	17	71	15	117	123	33	22	54	10	82	30	48	26	93	24	84	10	100	92	48	16	86	42	60	137	43	82	77	24	72	127	60	0	.	1	100	50	69	155	45	113	48	9	53	98	58	1	100	128	50	35	52	7	64	93	37	221	40	170	44	144	42	172	35	149	31	99	57	123	41	109	40	0	.	9394	5
	oak	207	32	350	34	180	40	169	30	0	.	12	100	28	85	22	58	627	17	9	100	137	44	50	92	70	46	0	.	27	59	40	65	40	55	116	47	306	41	0	.	7	100	76	80	11	100	105	86	21	100	374	37	59	44	86	71	31	74	77	48	0	.	17	86	0	.	0	.	1	100	0	.	8	100	105	83	69	56	0	0	8	61	8	74	320	32	58	68	27	64	67	53	125	37	8	87	0	.	22	100	63	52	184	51	239	28	0	.	0	.	0	.	15	68	85	47	216	33	77	55	105	40	23	106	11	102	0	.	12	100	58	70	15	74	0	.	71	65	0	0	28	70	323	45	169	50	0	.	245	40	55	85	79	62	116	39	26	66	0	.	107	45	13	74	21	66	39	39	21	100	21	100	14	81	15	100	134	54	109	39	130	45	152	47	0	.	7073	6
	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	.	209	38	50	63	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	.	0	.	0	.	16	100	292	44	155	52	174	40	516	28	884	21	549	40	220	30	722	26	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	36	100	0	.	5	100	0	.	0	.	14	100	0	.	39	52	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3883	10
	other broadleaves	378	40	308	31	110	43	53	77	28	64	23	55	371	23	144	26	287	26	118	26	142	40	105	62	58	31	0	.	85	63	64	52	32	35	86	60	21	71	102	35	50	38	45	47	159	37	361	22	51	39	373	21	88	38	37	63	61	48	76	54	7	51	16	92	9	81	32	50	96	64	42	49	53	41	4	80	155	39	172	33	128	40	89	38	26	48	51	43	39	44	124	47	120	38	87	39	30	43	86	51	160	43	93	47	119	42	59	62	118	29	89	53	261	32	307	24	539	24	321	24	170	36	263	29	44	71	28	78	31	51	71	51	113	52	38	46	50	52	24	89	38	52	111	64	27	76	6	44	37	57	18	53	88	77	35	52	58	60	1	100	27	59	238	27	91	34	361	31	20	46	73	49	77	43	58	42	42	59	119	44	71	58	161	43	0	.	9843	5
	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	4822	13	3921	16	2486	18	5607	14	2528	23	4933	17	20678	7	18306	8	19472	7	8868	10	1512	25	1855	21	2558	18	73	.	2243	24	3627	18	5912	14	4759	16	369	39	5089	15	6830	12	5523	13	6892	12	13012	8	10916	8	12184	8	5058	15	6036	14	6314	13	1346	24	2355	18	1558	26	1127	26	3553	17	2184	21	2711	20	3917	17	4086	17	2742	22	5555	14	3168	18	6287	15	3638	15	3681	18	2443	18	2040	21	3039	16	3102	17	3805	17	2905	20	2891	19	2273	23	2727	18	1052	24	2553	15	1668	19	1032	18	1640	18	2287	14	2676	14	1623	17	2248	17	1352	25	985	33	1892	22	1808	21	1697	22	2953	18	2597	22	645	42	2161	19	1625	25	1643	24	2134	16	1765	20	2609	18	2434	18	874	28	1192	31	495	39	2035	24	9441	9	5770	11	8287	10	2274	22	2276	23	3172	19	3743	17	4115	16	2095	22	2354	22	2363	22	0	.	361078	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. 2281284. Birmensdorf, Swiss Federal Research Institute WSL

back