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

NFI3
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 2004/06
		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	48	69	54	37	29	67	10	45	32	49	21	47	207	12	77	23	105	26	60	28	5	57	14	55	4	51	0	.	6	47	70	36	39	29	29	43	0	.	35	23	71	25	69	30	166	21	296	21	135	23	67	27	34	33	47	30	70	23	6	73	22	47	6	58	26	63	38	51	20	53	31	30	81	41	27	51	25	39	36	32	6	58	9	182	42	43	25	45	11	70	9	99	6	48	45	54	28	48	7	43	30	38	23	50	65	54	15	35	35	31	14	33	0	.	0	.	0	.	15	37	5	55	14	54	-3	263	8	40	30	36	21	67	23	41	43	32	18	53	2	80	26	39	10	102	3	72	29	33	23	72	19	43	24	52	8	82	7	63	0	.	22	75	90	20	110	24	122	19	26	38	26	50	7	47	14	47	36	78	26	75	19	55	28	41	0	.	3338	4
	fir	4	67	2	100	6	100	28	42	-5	224	12	73	26	27	134	17	68	30	66	27	0	.	1	100	9	36	0	.	2	71	3	100	20	61	20	36	0	.	6	47	3	51	1	71	1	100	4	36	1	100	62	19	51	38	34	27	29	51	-1	386	26	38	5	47	6	49	25	28	7	49	6	75	6	56	-7	163	2	100	9	41	-4	387	15	41	2	82	18	48	4	60	2	75	13	45	20	60	8	61	14	46	1	1292	8	52	23	100	0	.	2	62	1	100	0	.	0	.	0	.	6	46	6	65	1	76	18	64	0	.	5	60	10	38	0	.	15	57	9	42	4	100	10	40	-9	130	15	54	10	53	7	40	7	34	11	43	8	60	5	51	5	89	0	.	7	59	1	60	43	72	20	43	2	100	2	71	5	78	1	100	0	.	0	.	0	.	0	.	1022	8
	pine	4	76	1	100	0	.	0	.	0	.	0	.	14	56	1	100	11	100	0	0	0	.	0	.	0	.	0	.	1	100	0	.	0	.	1	100	0	.	0	.	14	41	4	61	3	100	17	49	75	24	1	100	0	.	0	0	0	0	0	.	1	100	1	100	0	.	0	.	0	.	2	100	0	0	0	.	0	.	2	71	2	100	0	.	1	100	0	.	0	.	1	100	1	100	2	80	0	.	1	100	0	.	0	.	1	100	0	.	0	0	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	7	100	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	51	30	23	33	12	35	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	262	12
	larch	0	.	0	.	0	.	0	.	0	.	0	.	-10	100	0	.	1	100	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	58	8	77	3	52	16	28	50	29	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	100	0	.	2	100	4	53	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	1	100	0	.	3	52	11	44	14	67	4	50	0	100	0	.	36	36	23	82	1	100	0	.	0	.	0	.	2	71	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	1	100	0	.	1	100	0	.	0	.	0	.	1	100	69	26	42	41	10	37	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	302	13
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	3	58	33	52	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	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	.	21	72	4	43	3	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	66	35
	other conifers	1	100	0	.	0	.	2	73	1	100	1	100	4	60	0	.	4	46	2	63	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	65	0	.	0	.	2	71	14	39	2	59	1	100	2	100	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	1	100	0	.	1	100	0	.	2	100	0	.	0	.	2	100	1	100	0	.	2	78	0	.	0	.	0	.	0	.	8	92	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	3	88	0	.	0	.	0	.	0	.	0	.	5	74	0	.	2	100	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	1	100	1	71	0	.	0	.	2	71	3	74	1	100	0	.	0	.	0	.	0	.	79	17
	beech	25	28	23	33	15	41	44	31	4	52	8	59	125	54	52	27	62	16	81	19	5	69	19	36	27	31	0	.	10	45	10	39	19	33	9	46	0	.	17	35	8	38	10	32	1	71	26	39	0	.	94	23	20	40	27	51	41	41	-2	189	15	42	5	53	9	56	14	43	8	60	3	60	33	44	13	40	14	49	22	37	27	35	28	30	56	28	17	37	20	38	14	42	16	63	10	30	6	51	10	57	12	37	3	63	64	47	0	.	8	52	0	.	52	39	27	41	28	32	89	24	83	26	35	36	6	46	0	.	3	55	5	47	2	77	7	51	7	46	3	100	14	32	2	76	15	66	10	43	0	3653	17	58	13	51	9	48	2	71	0	.	4	58	0	.	4	59	46	50	6	53	4	53	6	48	10	38	32	53	11	38	18	77	6	44	0	.	1781	6
	maple	5	51	4	58	4	298	6	58	10	68	4	58	44	48	8	40	20	36	18	85	8	59	4	100	12	46	0	.	1	100	2	71	8	50	13	66	1	100	13	37	6	70	5	52	4	71	7	51	0	.	52	33	5	51	13	55	3	71	4	81	3	58	6	73	3	71	2	100	7	49	3	71	20	79	10	58	5	73	6	85	4	64	5	48	7	56	9	50	5	80	1	100	2	139	7	45	10	49	7	42	19	38	7	75	4	79	6	74	7	62	0	.	3	62	4	59	4	126	6	40	1	100	1	100	4	60	6	73	0	.	10	50	18	36	16	44	6	41	0	.	4	59	6	86	2	74	3	58	3	59	6	52	8	52	2	100	1	100	0	.	0	.	2	83	0	1369	27	26	3	100	6	69	9	47	6	56	1	100	12	74	3	71	14	68	0	.	644	8
	ash	16	43	1	72	4	76	1	100	1	100	3	74	13	41	12	36	11	57	18	72	4	74	8	55	6	74	0	.	1	100	15	91	4	77	11	50	14	100	9	57	6	76	5	61	14	49	28	48	2	100	36	32	4	90	30	92	19	38	2	72	2	100	0	.	1	100	1	100	2	100	3	100	2	71	5	62	13	60	7	59	7	108	6	60	11	91	2	73	5	49	0	100	4	59	24	54	1	100	0	.	23	73	1	100	24	93	5	60	5	71	8	56	4	80	12	52	11	80	24	47	11	93	7	71	1	100	6	65	0	.	1	100	12	53	12	46	3	71	2	60	4	81	12	90	0	.	2	100	1	100	0	0	0	.	0	.	1	100	0	.	10	100	15	53	4	52	8	54	2	74	0	.	33	69	12	51	4	66	0	0	2	100	10	100	0	.	680	10
	oak	3	100	4	76	0	.	3	78	0	.	0	.	0	100	0	.	0	.	1	100	0	.	3	73	2	100	0	.	0	.	0	.	0	.	0	.	3	59	0	.	0	.	0	.	0	.	4	51	0	.	1	100	0	.	1	100	0	.	12	67	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	2	72	2	100	3	100	1	100	0	.	0	.	1	100	2	73	0	.	0	.	0	.	0	.	4	61	7	39	15	42	5	100	6	53	4	67	0	.	0	.	0	.	0	0	4	71	0	.	0	.	0	.	2	100	4	74	9	77	0	.	10	90	0	.	1	100	4	71	3	100	0	.	1	71	6	46	6	58	13	43	0	.	0	.	0	.	0	.	5	100	3	71	0	.	0	.	0	.	161	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	.	11	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	-30	67	5	60	52	51	27	57	54	65	16	43	10	49	88	34	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	72	0	.	0	.	0	.	0	.	0	.	0	.	7	81	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	248	24
	other broadleaves	14	59	18	38	7	49	12	54	2	71	6	78	77	20	19	31	30	32	21	28	4	52	9	58	6	51	0	.	5	72	6	72	4	47	19	55	11	51	25	39	23	46	1	100	70	39	115	33	33	45	42	29	11	51	5	52	15	49	2	71	9	50	2	73	2	71	3	71	5	81	7	59	8	60	6	47	16	38	16	91	19	45	2	231	7	58	11	52	2	59	10	40	5	42	10	48	7	40	12	51	10	50	24	69	6	48	56	50	33	31	45	41	36	27	50	30	128	24	45	27	30	48	43	29	8	52	23	66	2	288	-1	3768	18	40	27	39	7	55	5	72	13	50	2	58	3	76	6	52	7	43	2	100	4	63	20	59	1	100	2	100	1	100	76	34	56	26	103	20	1	100	2	71	2	226	5	54	-5	115	5	59	2	75	6	47	0	.	1684	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	.	0	.	0	.	0	.	0	.	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	119	31	106	24	64	42	106	28	44	49	54	35	499	16	302	12	312	14	266	16	26	33	56	30	66	20	0	.	27	30	106	30	94	22	101	25	29	53	105	21	140	20	103	22	262	18	527	15	343	14	357	13	128	24	158	26	176	18	23	48	80	24	26	36	48	37	84	27	50	29	54	28	152	27	54	41	77	29	102	22	62	43	67	34	127	23	82	27	52	28	39	36	49	31	123	29	59	29	51	30	98	31	68	32	195	34	87	35	72	41	90	25	155	24	128	23	239	22	242	15	174	22	194	19	34	55	43	44	46	31	55	48	77	29	119	22	50	28	18	54	77	24	27	80	48	36	61	26	55	40	51	29	67	29	52	38	20	48	7	73	38	54	338	13	253	15	395	14	58	27	40	35	61	46	54	26	76	45	57	41	44	41	64	30	0	.	10264	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	30	50	161	36	117	40	73	34	77	30	141	32	791	13	322	26	358	22	176	46	17	81	11	73	20	64	0	.	47	56	181	34	159	24	173	39	0	.	245	32	361	19	344	20	401	17	685	13	471	16	237	24	108	33	163	33	258	24	6	356	50	29	35	68	42	54	78	37	125	44	192	29	124	42	112	40	155	38	131	31	22	88	66	27	214	39	66	46	79	48	51	79	18	51	71	44	212	32	41	51	94	36	107	43	193	40	47	38	121	28	70	30	0	.	4	100	0	.	33	75	6	61	26	56	38	37	49	36	133	34	55	43	51	38	75	34	22	149	6	100	83	43	18	51	20	47	166	23	54	59	99	54	52	45	36	84	31	58	0	.	34	79	306	21	508	18	472	15	54	71	86	58	44	50	167	48	74	44	91	47	21	60	164	41	0	.	11725	3
	fir	45	66	4	100	33	63	24	41	17	47	49	46	69	25	319	17	203	30	119	21	11	77	-1	1606	39	46	0	.	19	77	9	76	128	37	31	45	0	.	30	61	11	60	21	39	6	46	17	38	3	100	202	19	91	30	141	24	113	30	12	48	58	34	43	57	20	47	107	40	12	44	17	60	39	45	33	37	-1	1581	13	81	30	41	30	54	7	78	50	54	34	42	2	100	55	39	33	38	46	36	38	46	62	56	37	47	26	91	0	.	17	44	11	100	0	.	0	.	0	.	8	74	73	72	7	57	44	52	9	87	23	62	46	58	0	0	94	37	27	40	0	100	10	49	27	53	29	39	16	41	31	39	38	34	13	64	29	127	22	68	20	64	20	84	28	60	13	54	105	31	75	38	4	100	8	100	-17	237	16	65	9	71	3	100	4	100	0	.	3413	6
	pine	6	100	5	100	5	100	0	.	2	100	0	.	16	47	5	100	10	68	9	60	0	.	2	100	4	100	0	.	3	100	0	0	0	.	0	.	4	100	0	.	26	54	17	61	6	100	70	30	198	23	19	55	0	.	2	100	13	91	0	.	6	100	0	0	0	.	2	100	0	.	9	100	3	100	0	.	0	.	15	93	1	100	0	0	17	68	0	.	0	0	11	100	8	74	2	100	0	.	0	0	3	100	0	.	27	70	0	.	0	0	4	100	0	.	0	.	5	100	0	.	0	.	0	.	6	100	0	.	11	89	0	0	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	6	100	0	.	4	100	0	.	0	.	0	.	0	.	216	29	124	30	55	47	0	.	3	100	2	100	0	0	4	100	4	100	3	100	0	.	0	.	974	11
	larch	0	.	14	67	0	.	0	.	2	100	0	.	5	81	0	.	5	100	0	0	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	-2	258	20	45	23	57	111	35	177	18	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	10	100	12	52	0	.	0	.	2	100	0	.	2	100	0	.	0	.	0	.	0	.	0	.	4	100	17	84	3	100	20	48	28	39	25	51	19	73	0	0	0	.	72	44	38	49	0	4155	0	.	0	.	0	.	22	73	0	.	0	.	0	.	3	100	0	.	2	100	0	.	0	.	0	0	0	.	5	100	0	.	0	.	0	.	2	100	219	17	136	25	145	34	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1144	9
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	6	55	116	27	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	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	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	53	36	31	39	7	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	226	18
	other conifers	3	100	0	.	0	.	8	88	3	100	3	100	15	57	0	.	22	44	17	100	8	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	1	100	0	.	0	.	6	71	22	49	1	100	3	100	2	100	0	.	0	.	0	.	4	100	0	.	0	.	3	100	0	.	2	100	2	100	2	100	3	71	3	100	16	100	0	.	4	100	5	73	5	75	0	.	1	100	0	.	2	100	1	100	0	.	23	86	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	6	100	6	63	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	1	100	1	100	0	.	0	.	14	67	-1	100	3	100	0	.	0	.	0	.	0	.	228	18
	beech	152	25	73	37	48	38	148	38	12	64	44	42	256	23	253	18	397	16	334	19	12	76	40	35	101	39	0	.	37	35	110	35	74	45	105	36	0	.	111	38	31	38	44	31	5	78	88	41	0	.	306	20	94	32	74	35	125	31	11	56	49	37	7	141	16	53	61	32	73	50	24	85	133	33	51	54	59	34	68	28	85	37	131	34	167	24	37	41	109	41	58	48	51	53	64	48	25	50	56	53	32	44	13	48	52	30	0	.	18	55	0	.	168	33	156	31	57	41	227	30	257	34	168	33	34	43	0	.	-2	542	33	39	13	60	18	47	28	96	10	178	81	36	54	58	21	78	54	36	34	42	44	35	52	38	33	51	33	71	11	61	14	55	0	.	14	89	141	26	30	52	28	37	31	46	36	43	55	36	31	57	48	49	16	90	0	.	6553	4
	maple	31	46	19	48	18	68	24	61	34	74	14	100	104	28	76	31	84	31	100	33	21	66	22	39	13	94	0	.	16	74	18	55	49	34	24	50	0	.	37	43	2	100	-4	292	27	63	35	38	2	100	68	30	38	46	6	73	36	35	0	3073	3	218	20	52	7	74	9	53	13	53	11	52	32	48	12	53	37	56	28	43	20	63	54	46	30	58	18	61	27	81	13	67	38	43	32	50	21	50	9	59	25	68	17	71	15	64	10	78	20	61	0	.	1	100	4	100	4	78	22	72	-1	100	0	.	33	52	5	100	0	.	24	58	49	48	62	32	29	51	0	.	13	42	38	100	12	100	12	59	12	52	12	42	23	46	0	.	3	100	0	.	0	.	3	100	32	51	71	29	11	68	10	71	12	91	25	51	11	57	57	54	23	54	33	60	0	.	2079	6
	ash	45	33	8	65	18	46	0	0	8	100	33	61	27	46	29	42	49	37	41	43	27	68	20	84	17	83	0	.	1	100	11	58	33	46	47	57	4	100	75	92	11	53	2	100	51	54	63	44	34	96	73	39	24	76	40	58	17	67	-2	367	11	84	0	.	0	.	0	.	32	61	4	74	18	70	44	47	50	43	10	59	29	60	36	58	20	41	6	71	8	72	7	124	41	58	53	53	35	95	5	100	85	50	24	78	33	52	3	383	26	94	15	57	18	50	24	52	36	47	46	41	3	290	22	67	14	58	24	61	10	100	25	62	16	54	10	47	18	50	7	56	2	100	9	64	0	.	2	100	4	100	29	63	9	61	11	88	3	72	0	.	12	46	10	63	45	49	44	58	12	67	13	77	29	89	13	51	44	66	11	61	67	58	0	.	0	.	2041	8
	oak	21	61	13	89	3	100	26	54	0	.	0	.	8	84	0	.	13	45	0	.	0	.	16	100	9	86	0	.	4	100	0	.	4	71	8	75	48	55	0	.	0	.	6	79	0	.	22	58	5	100	3	100	4	100	4	73	0	.	24	62	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	3	100	0	.	7	73	0	.	2	100	3	71	9	90	0	.	0	.	0	.	3	100	6	78	2	100	0	.	0	.	0	.	4	63	23	38	56	36	40	62	56	59	7	62	0	.	0	0	0	.	21	62	14	90	0	.	4	100	0	.	5	100	0	0	48	73	0	.	46	70	0	.	7	74	55	51	8	100	0	.	12	73	12	51	26	60	28	37	0	.	0	.	0	.	0	.	3	100	2	100	2	100	0	.	0	.	754	12
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	51	43	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	52	41	33	60	131	39	41	60	205	25	34	43	88	41	247	29	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	74	0	.	0	.	0	.	0	.	0	0	0	.	10	75	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	909	12
	other broadleaves	65	56	60	43	34	38	37	45	3	100	8	61	90	23	32	53	63	45	39	38	24	54	4	71	19	40	0	.	15	53	13	43	8	51	42	63	7	59	46	63	59	54	34	42	127	31	204	20	99	36	72	31	12	53	2	100	33	48	7	71	3	100	0	.	8	60	11	56	19	43	9	71	14	43	8	100	28	55	24	109	32	84	17	55	11	54	20	75	19	46	44	51	12	65	11	47	17	60	24	67	23	43	46	57	11	94	65	35	54	34	78	36	81	35	156	28	268	23	168	27	86	39	100	24	14	66	42	58	9	95	43	45	20	50	34	48	6	59	13	65	35	63	5	100	1	100	4	72	17	65	10	51	0	0	28	69	2	100	2	100	0	.	124	31	126	31	171	20	6	71	13	67	19	46	13	44	7	71	22	39	13	77	6	62	0	.	3532	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	0	.	0	.	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	396	20	357	24	276	23	341	22	157	26	291	22	1380	10	1037	13	1204	12	836	15	120	37	115	32	220	26	0	.	144	32	340	23	455	20	429	22	62	45	547	25	499	17	485	16	645	14	1357	10	1127	11	983	12	375	21	437	19	596	16	57	49	180	22	108	39	93	32	268	23	278	29	267	26	376	23	261	25	340	25	306	22	226	31	351	23	475	21	200	26	285	27	193	30	231	25	267	25	357	24	174	32	332	25	268	29	385	26	154	24	337	18	238	20	422	20	408	19	630	15	650	16	605	22	576	17	183	30	129	32	185	27	268	27	163	27	293	24	133	40	46	54	235	26	153	40	133	35	254	21	204	27	232	30	173	28	192	38	102	40	33	49	94	41	973	12	1055	12	1250	12	189	32	158	35	159	30	236	40	217	24	226	28	180	36	222	34	0	.	33579	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	62	51	110	48	340	39	143	58	507	31	492	29	2881	12	1105	17	1121	20	416	26	0	.	43	61	55	42	0	.	236	46	599	28	564	29	297	29	0	.	750	38	976	18	927	18	963	17	2111	13	1352	15	706	24	321	34	257	33	804	23	54	63	299	39	132	38	68	49	150	38	217	39	420	29	411	30	339	27	230	40	501	26	155	35	317	29	258	38	131	41	91	50	99	51	70	55	228	36	462	27	172	45	323	40	184	39	188	69	76	38	290	27	277	36	0	.	0	0	0	0	54	59	4	100	54	39	162	40	271	42	322	36	141	34	154	33	389	28	174	46	21	76	198	36	76	56	54	53	567	22	47	56	143	38	217	40	40	77	105	57	20	76	80	58	870	17	1057	18	1428	16	144	40	173	37	202	53	279	34	303	30	162	48	112	64	253	37	0	.	32554	3
	fir	115	49	17	100	89	66	96	56	99	52	93	41	189	29	786	16	665	24	525	23	10	100	15	77	57	37	0	.	31	61	38	52	245	34	159	52	0	.	32	59	26	61	72	39	38	64	79	35	0	.	639	20	247	30	345	29	364	32	74	45	81	38	55	53	70	59	214	37	48	61	49	54	91	49	110	39	35	61	111	46	84	49	303	27	38	58	74	45	87	56	7	100	120	34	54	60	55	41	34	90	152	39	76	61	11	100	0	.	19	52	14	100	0	.	0	.	0	.	43	59	18	59	86	70	125	47	29	76	31	65	87	51	43	54	179	43	36	74	0	.	79	47	103	70	76	49	35	58	36	51	81	40	25	62	12	72	102	68	15	86	25	71	48	65	48	60	145	42	74	57	12	100	32	77	118	41	111	48	0	.	0	.	0	.	0	.	8994	5
	pine	75	76	16	72	29	58	0	.	0	.	0	.	57	50	11	100	41	82	108	55	6	100	34	62	21	100	0	.	0	100	8	100	0	.	0	4981	52	90	0	.	102	43	133	41	0	.	221	34	299	29	106	48	0	.	38	72	14	100	8	100	8	100	15	100	0	.	13	100	0	.	32	84	12	100	0	.	0	.	64	61	0	.	0	.	54	50	0	.	30	62	-6	100	53	69	89	66	0	.	5	100	11	100	0	.	24	71	0	.	78	91	16	100	0	.	0	.	65	100	0	.	0	.	5	100	4	100	0	.	72	52	0	.	0	.	0	.	0	.	0	0	0	.	10	100	0	.	0	.	12	71	0	.	8	100	0	.	0	.	-4	100	0	.	322	26	203	26	158	41	0	.	11	100	43	62	11	100	43	60	28	58	44	72	11	100	0	.	2922	9
	larch	10	72	65	84	39	94	0	.	0	.	0	.	11	94	0	.	69	53	18	100	0	.	0	.	0	.	0	.	26	100	19	100	0	.	0	.	0	.	0	.	60	49	106	49	46	53	350	24	553	20	0	.	0	.	11	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	63	46	0	.	0	.	30	60	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	100	0	.	34	58	102	42	36	50	60	49	10	100	0	.	255	24	120	47	42	80	0	.	0	.	0	.	14	78	4	100	0	.	0	.	4	100	0	.	0	.	0	.	0	.	7	100	0	.	22	72	0	.	0	.	0	.	0	.	603	18	416	24	229	25	0	.	0	.	6	100	0	.	0	.	20	72	0	.	0	.	0	.	3475	7
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	53	364	22	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	100	0	.	6	100	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	.	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	137	26	97	40	57	59	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	724	14
	other conifers	18	59	0	.	12	100	14	100	0	.	0	.	9	100	0	.	23	69	11	100	26	100	0	.	0	.	32	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	72	0	.	0	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	-12	100	0	.	0	.	19	100	0	.	0	.	4	100	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	11	100	42	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	100	0	.	0	.	3	100	6	100	0	.	0	.	6	100	17	81	12	73	0	.	0	.	0	.	0	.	0	.	286	26
	beech	290	31	84	36	157	31	490	30	52	48	177	33	578	28	703	20	924	17	1170	16	40	63	156	41	459	24	0	.	81	53	172	32	273	37	387	30	0	.	283	32	108	35	160	39	0	.	142	34	0	.	875	17	203	29	271	39	315	30	38	57	116	57	77	42	56	43	159	31	132	36	17	76	241	31	86	44	272	39	220	32	294	28	284	33	634	23	209	37	330	27	138	36	544	27	110	32	18	50	111	33	94	36	65	44	215	30	0	.	31	58	0	.	225	32	276	33	217	32	267	31	146	36	136	40	94	42	0	.	29	91	127	40	55	55	114	39	78	49	9	100	279	34	54	55	35	55	100	54	168	36	266	34	61	58	147	41	43	49	51	65	127	59	0	.	0	.	255	28	63	48	75	55	59	44	218	35	229	28	106	45	23	88	61	48	0	.	17238	4
	maple	86	33	62	58	52	53	29	68	23	62	83	50	277	21	129	31	104	37	155	25	14	100	132	44	38	57	0	.	19	71	16	100	73	44	35	84	5	100	145	36	19	74	8	100	20	53	23	65	0	.	211	26	47	54	43	60	93	64	27	51	50	51	50	65	54	88	0	.	73	33	10	100	78	41	109	40	37	45	73	48	69	48	176	34	18	58	34	87	25	61	23	60	141	31	58	51	41	62	13	75	85	43	29	52	37	87	18	100	17	77	6	100	25	94	26	61	15	76	34	64	21	84	0	.	49	50	7	100	0	.	37	74	69	54	102	32	59	59	0	.	61	48	28	71	6	100	7	100	16	66	78	38	22	74	0	.	3	100	6	100	6	100	5	100	9	71	59	39	22	62	26	62	28	53	98	43	48	46	28	53	41	74	8	100	0	.	4342	6
	ash	81	53	52	75	27	59	16	71	18	76	146	40	100	53	173	34	161	29	42	48	72	63	22	100	67	43	0	.	7	100	79	65	162	52	144	52	7	100	84	57	33	85	0	.	45	45	39	60	34	75	307	26	22	66	44	50	45	56	0	.	22	74	0	.	0	.	8	100	145	80	6	100	8	100	218	35	107	39	74	46	38	56	122	39	38	71	7	100	24	61	47	59	70	56	89	61	22	74	32	67	124	51	35	53	41	48	-5	100	18	100	9	100	19	64	15	62	56	47	24	58	5	212	45	59	34	100	14	100	0	.	35	60	8	100	27	62	102	49	5	100	30	85	0	.	0	.	0	.	0	.	21	100	83	57	12	71	23	62	0	.	34	53	53	67	7	100	65	48	63	54	41	54	67	44	37	57	48	51	33	100	6	100	7	100	0	.	4348	7
	oak	75	49	10	71	5	100	50	51	0	.	0	.	17	72	15	100	128	33	0	.	13	75	36	100	25	59	0	.	0	.	0	.	15	73	10	100	161	53	0	.	0	.	7	100	0	.	44	104	0	.	26	60	9	100	21	100	0	.	16	75	0	.	0	.	0	.	0	.	0	.	0	.	0	.	76	100	25	71	0	.	0	.	7	100	57	37	0	.	9	71	27	100	52	46	0	.	0	.	-8	100	25	60	50	57	7	78	0	.	0	.	0	.	25	63	54	46	102	37	45	82	81	44	31	94	5	100	0	.	11	100	58	71	5	100	0	.	31	74	0	.	39	74	0	0	132	55	0	.	145	42	0	.	0	0	53	49	0	.	0	.	77	67	6	72	20	83	36	57	0	.	0	.	10	100	10	100	7	100	8	100	22	63	5	100	0	.	2030	11
	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	.	157	47	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	.	7	100	37	64	48	61	101	47	170	29	304	28	68	40	87	41	244	36	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	6	100	0	.	0	.	15	100	0	.	12	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1263	13
	other broadleaves	105	44	23	54	44	51	21	72	8	71	15	100	143	28	72	44	165	29	102	53	28	54	14	75	44	44	0	.	9	112	11	72	3	100	14	77	14	80	21	65	68	59	0	.	46	50	186	23	98	46	118	27	5	100	24	77	30	75	0	.	4	100	0	.	0	.	41	72	40	76	4	100	37	68	0	100	45	45	58	44	63	46	59	59	32	100	16	61	22	74	35	61	21	63	60	40	15	71	17	84	82	60	31	45	65	55	74	61	107	29	47	49	147	38	135	35	260	28	233	34	167	45	188	30	14	59	11	91	13	100	87	52	44	69	0	0	8	100	20	63	58	70	10	100	0	.	0	.	18	72	4	100	63	89	34	67	5	100	0	.	4	100	111	32	57	44	125	37	3	100	33	47	24	80	16	50	0	0	42	64	36	90	15	59	0	.	4389	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	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0
	total	917	20	441	24	795	22	859	23	707	26	1007	22	4265	9	2995	11	3403	11	2546	12	208	37	452	28	766	19	32	.	410	32	942	21	1336	19	1045	20	239	43	1315	25	1391	15	1414	16	1158	15	3376	10	2709	10	2987	10	853	19	1059	20	1664	17	216	34	579	25	329	31	247	35	585	21	654	28	538	25	902	20	939	20	755	22	1153	17	703	21	1267	18	1178	19	471	24	618	21	374	26	1072	20	689	23	614	23	378	28	901	24	484	27	589	27	206	32	698	20	452	24	601	21	686	20	1019	17	1024	16	648	21	831	18	487	29	332	36	484	28	587	22	386	26	811	23	489	27	70	47	786	21	283	38	303	33	709	20	448	22	593	21	506	26	299	31	304	37	88	53	353	40	2173	11	1921	13	2569	12	369	27	376	27	488	31	799	22	787	21	429	28	285	39	360	29	0	.	82564	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	170	34	175	41	309	35	547	29	687	28	1126	23	5894	9	2624	13	2106	16	1219	17	28	77	38	51	231	59	0	.	341	36	892	25	1185	20	669	30	0	.	1159	21	2231	16	1183	17	2109	15	3951	11	2392	12	1177	18	537	25	784	22	1954	20	97	51	472	23	307	36	125	40	529	26	251	30	560	25	779	22	865	25	308	36	950	24	409	31	925	22	665	27	308	34	206	45	133	46	153	42	652	25	1035	22	542	25	523	41	329	34	230	33	141	50	398	24	562	26	0	.	8	100	9	100	149	49	48	80	98	44	236	36	347	40	489	30	486	39	456	32	818	24	406	44	62	72	408	30	97	87	156	56	910	18	238	33	324	26	396	31	77	73	331	56	61	50	248	46	1296	14	1543	16	1842	13	387	34	403	40	265	30	332	28	500	28	187	39	263	47	264	44	0	.	62310	2
	fir	173	41	29	71	105	61	388	29	221	37	609	29	603	22	2596	13	1126	17	1224	18	40	86	66	66	96	42	0	.	85	65	80	45	373	29	335	38	0	.	173	40	95	68	146	34	74	53	169	32	0	0	1413	16	335	32	869	22	500	25	95	48	409	28	150	39	116	46	536	27	42	66	12	100	151	34	353	30	146	42	211	35	204	42	615	28	19	71	85	40	199	44	68	47	198	34	177	38	247	31	108	46	225	32	63	69	27	100	0	.	57	51	32	88	0	.	0	.	0	.	67	50	75	64	69	62	48	43	0	0	87	59	212	46	61	53	283	28	35	84	7	100	167	33	154	56	243	37	171	48	112	44	198	33	106	47	87	89	89	60	88	73	67	47	78	47	136	45	240	33	179	36	46	72	107	43	377	27	225	37	6	100	0	.	63	64	0	.	20350	4
	pine	100	41	190	66	0	.	52	51	24	100	8	100	250	50	6	100	197	29	112	51	96	57	50	58	168	39	0	.	10	100	86	93	0	.	134	62	8	100	0	.	166	40	207	32	25	100	276	29	443	27	226	39	8	100	50	60	24	75	62	76	0	.	19	100	0	.	0	.	0	.	29	71	0	.	43	57	0	.	37	63	0	.	46	60	141	41	52	60	83	38	15	100	200	36	48	65	4	100	0	.	45	50	52	66	134	44	0	.	82	68	17	78	0	.	0	.	12	100	0	.	0	.	29	100	-4	100	18	100	31	52	0	0	0	.	0	.	0	.	8	100	5	100	79	90	27	80	0	.	21	78	0	.	68	67	0	.	0	.	20	100	0	.	231	30	97	37	279	30	0	.	30	71	141	36	54	60	192	36	82	42	159	50	56	57	0	.	5663	7
	larch	53	91	30	59	0	.	44	63	7	100	35	100	29	97	9	100	37	62	5	100	0	.	0	.	20	80	0	.	43	100	0	.	0	.	9	100	0	.	0	.	150	48	211	32	46	58	732	18	1684	13	11	100	8	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	6	100	8	100	215	48	0	.	0	.	35	74	0	.	1	100	8	100	0	.	0	.	0	.	0	.	0	.	5	100	0	.	84	49	163	33	91	49	103	43	9	73	20	71	441	27	116	35	61	67	0	.	0	.	0	.	21	61	6	100	30	100	23	100	23	77	0	.	6	100	0	.	0	.	0	.	0	.	59	61	0	.	62	100	0	.	0	.	1448	15	828	17	563	22	0	.	0	.	23	100	5	100	0	.	25	76	10	100	27	82	0	.	7693	6
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	10	73	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	44	48	414	18	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	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	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	182	24	73	37	54	51	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	802	12
	other conifers	0	.	0	.	17	100	0	.	0	.	0	.	0	.	0	.	46	81	0	.	0	.	0	.	0	.	38	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	46	83	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	23	100	0	.	0	.	0	.	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	28	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	237	34
	beech	839	20	418	26	253	37	603	24	130	40	363	37	842	22	985	19	1624	15	1166	16	170	49	434	31	723	22	0	.	212	50	338	38	414	29	571	29	0	.	551	26	180	47	147	37	19	60	79	32	0	.	1986	15	470	26	173	31	329	31	191	40	89	38	188	42	99	47	172	32	136	47	30	83	388	32	258	33	505	36	335	26	506	31	678	30	693	21	569	24	488	26	414	30	717	22	315	30	94	77	288	31	128	37	64	47	284	29	0	.	95	38	0	.	163	51	207	29	129	39	290	30	237	29	182	32	102	67	12	100	30	77	216	44	69	84	231	38	200	40	20	80	379	26	153	42	60	48	89	38	204	39	585	25	245	42	319	38	131	44	94	50	161	41	20	100	4	100	116	37	175	42	134	38	241	30	281	27	271	26	230	38	143	43	128	35	0	.	27994	3
	maple	101	34	50	48	40	58	41	43	26	75	30	86	224	26	66	37	104	39	214	27	15	72	53	58	41	51	0	.	17	100	15	71	50	53	24	52	0	.	132	30	22	64	0	.	21	79	21	55	0	.	251	24	25	70	18	71	77	42	25	61	20	59	17	58	7	100	18	50	10	71	19	80	11	73	52	50	19	59	87	35	78	37	168	33	12	73	79	46	41	43	45	48	89	40	62	44	5	100	13	72	82	42	23	77	20	58	6	100	0	.	0	.	0	.	15	72	9	100	-44	100	8	71	5	100	1	100	27	53	0	.	35	51	4	100	44	48	5	100	0	.	19	78	9	100	0	.	13	74	21	50	37	50	53	90	0	.	0	.	0	.	55	57	5	100	0	.	54	54	64	37	12	71	17	64	47	50	90	34	6	100	9	100	15	100	0	.	3320	6
	ash	182	30	163	41	103	49	59	61	24	95	66	45	46	49	138	32	237	29	44	63	51	71	21	73	57	53	0	.	74	63	77	60	106	51	99	38	0	.	217	65	15	75	5	100	20	60	9	100	7	100	315	30	261	79	77	57	13	100	26	82	18	78	5	100	0	.	8	100	57	59	5	100	6	100	198	34	127	40	39	80	122	57	69	39	43	47	34	53	18	76	64	55	74	42	81	64	26	100	68	62	117	33	135	47	107	47	0	.	6	100	13	79	0	.	37	51	59	55	25	66	-13	100	15	75	16	76	0	.	0	.	82	45	25	58	7	100	45	58	-8	100	7	100	49	59	0	.	0	.	-15	100	60	65	27	58	16	73	60	68	0	.	54	57	0	.	0	.	52	51	103	49	134	44	30	58	106	33	107	42	27	72	99	49	89	53	0	.	5243	7
	oak	159	66	65	52	6	100	76	46	0	.	0	.	23	78	11	100	218	28	6	100	52	72	0	.	17	100	0	.	37	71	0	.	0	0	33	86	165	52	0	.	0	.	80	86	0	.	45	48	15	100	166	33	63	85	29	100	35	85	35	70	0	.	18	100	0	.	0	.	0	.	0	.	0	.	66	86	4	100	7	100	13	71	0	.	97	46	10	100	16	100	24	58	31	73	0	.	0	.	0	.	23	60	74	53	73	63	0	.	0	.	0	.	3	100	57	55	94	62	-3	378	37	68	6	100	5	100	18	100	7	100	22	100	0	.	0	.	37	79	0	.	4	100	96	55	37	53	0	.	77	46	37	79	18	72	122	43	12	100	17	100	91	56	3	100	23	88	18	62	0	.	0	.	27	50	5	100	70	52	79	45	35	61	48	61	0	.	2893	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	.	36	49	8	73	0	.	0	.	0	.	0	.	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	50	38	60	55	42	51	220	36	257	44	48	45	69	44	160	42	0	.	0	.	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	100	0	.	0	.	0	.	0	.	0	.	0	.	22	68	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1005	16
	other broadleaves	151	70	33	53	41	58	24	81	4	100	0	.	107	43	28	42	69	48	13	71	44	58	15	100	17	58	0	.	0	.	31	81	0	.	9	100	0	.	38	74	5	100	20	80	27	56	149	28	18	61	150	36	46	86	2	100	12	100	5	100	0	.	0	.	3	100	0	.	48	80	0	.	0	.	0	.	6	100	34	42	59	44	44	74	12	71	16	71	0	.	76	60	68	66	8	100	0	.	9	100	62	51	23	60	19	77	22	63	60	35	23	106	55	44	61	41	145	30	44	60	28	54	85	38	0	0	8	100	8	100	12	75	28	100	0	0	14	100	25	100	21	58	55	57	0	.	0	.	-3	100	24	80	1	100	0	.	54	71	0	.	23	87	65	36	10	71	39	83	12	100	51	66	62	43	26	64	0	.	9	100	73	57	4	100	0	.	2690	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	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0
	total	1929	17	1153	21	874	22	1835	16	1122	24	2237	18	8028	8	6463	9	5763	9	4002	11	495	30	677	27	1370	20	38	.	826	27	1519	20	2128	16	1885	19	173	51	2269	17	2870	14	1999	14	2341	14	5511	9	4981	9	5695	10	1751	22	2048	17	2944	15	535	26	1008	20	703	27	350	30	1262	19	545	24	656	23	1355	18	1865	19	1124	23	1915	17	1390	22	2545	17	1735	18	1154	20	1052	21	846	24	1531	18	1343	18	1411	20	1028	20	1205	23	769	26	894	21	257	32	911	17	797	22	365	27	614	20	735	23	1025	17	605	22	710	20	404	28	431	37	657	26	1085	25	652	27	1413	21	765	29	137	46	1010	20	703	29	523	30	1183	17	654	24	1264	20	999	21	620	33	767	36	280	43	699	28	3330	10	2715	12	3279	11	919	24	809	27	912	21	1234	20	1456	19	651	25	793	29	693	28	0	.	140203	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	155	49	84	44	275	51	669	36	592	31	1328	25	5777	11	3959	12	3015	14	1315	20	25	100	152	72	194	46	0	.	396	40	649	28	707	29	628	28	15	100	1286	25	2517	17	1467	22	3005	15	4093	12	1214	19	1505	24	750	31	711	30	1499	21	162	55	359	26	235	52	311	36	1133	23	292	40	697	29	778	26	407	35	337	38	1115	24	871	32	2300	22	407	33	552	38	261	80	97	57	151	46	1020	27	816	29	779	35	235	41	301	45	415	35	476	32	892	26	696	28	0	.	103	71	0	.	78	52	27	72	215	64	205	47	465	43	559	40	541	30	775	29	1053	25	634	37	12	100	512	31	75	80	185	51	366	23	493	32	449	28	294	42	12	100	370	42	149	52	343	56	1623	20	990	21	1826	20	534	43	449	35	343	34	342	32	384	34	449	45	239	40	309	46	0	.	69478	3
	fir	176	42	134	49	117	62	586	33	152	39	614	30	1288	25	3418	13	2097	18	1057	29	0	.	153	62	110	64	0	.	131	69	87	71	346	36	387	46	0	.	306	47	140	45	442	32	122	49	331	35	0	.	1104	22	515	36	951	22	567	26	177	46	513	31	134	46	211	43	695	27	82	67	71	70	251	49	290	36	100	47	178	53	206	42	919	26	42	58	281	47	204	42	81	63	59	64	249	41	245	36	278	41	242	61	51	100	171	71	0	.	183	65	24	100	0	.	0	.	16	100	171	58	230	40	62	76	97	57	4	100	30	100	190	40	178	55	381	30	93	66	8	100	239	55	206	53	306	63	115	67	201	46	321	36	106	47	73	79	168	58	162	80	48	79	162	62	119	45	165	39	191	48	120	52	231	44	397	31	211	36	85	73	0	.	161	73	0	.	26516	4
	pine	27	100	48	58	53	61	180	49	0	.	0	.	83	63	28	71	166	39	60	57	79	86	49	100	28	74	0	.	0	.	32	71	0	.	67	52	0	0	0	.	15	71	263	31	0	.	202	48	131	37	196	34	0	.	21	100	0	.	21	71	42	100	0	.	0	.	0	0	0	.	12	100	0	.	73	77	0	.	51	83	0	.	26	71	21	100	35	58	9	100	0	.	12	100	12	100	0	.	0	.	39	71	35	58	65	61	0	.	24	71	11	100	0	.	0	.	0	.	0	.	0	.	12	100	8	100	0	.	9	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	165	43	27	58	57	63	0	.	13	100	25	71	25	100	167	48	57	82	82	65	51	72	0	.	2917	10
	larch	8	100	19	100	0	.	96	69	0	.	39	100	58	53	0	.	45	61	0	.	0	.	0	.	0	.	0	.	16	100	0	0	0	.	14	100	0	.	29	100	131	47	167	35	114	43	927	17	1981	15	14	100	99	100	0	.	0	.	0	.	0	.	0	.	24	100	0	.	0	.	0	.	9	100	0	.	0	.	91	54	25	100	0	.	14	100	25	100	0	.	13	100	0	.	0	.	0	.	52	72	15	100	0	.	0	.	283	47	225	29	180	42	49	61	0	0	26	100	437	28	90	46	200	55	0	.	0	.	13	100	95	65	17	100	14	100	15	100	56	100	0	.	0	.	0	.	0	.	0	.	0	.	15	100	0	.	0	.	0	.	0	.	2539	14	976	20	713	20	32	100	12	100	17	100	22	82	0	.	0	.	12	100	109	67	0	.	10171	6
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	13	73	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	82	51	362	22	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	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	.	159	34	71	48	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	704	16
	other conifers	0	.	29	71	0	.	0	.	0	.	0	.	0	.	0	.	196	50	0	.	0	.	0	.	0	.	18	.	31	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	27	100	60	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	122	100	0	.	0	.	0	.	0	.	28	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	77	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	0	.	0	.	608	32
	beech	737	23	371	31	298	29	559	33	47	59	289	33	1065	30	692	28	1552	19	294	28	263	45	237	41	724	33	0	.	124	66	108	51	257	40	420	35	0	.	194	42	152	56	124	47	18	71	151	43	0	.	713	21	325	38	377	54	270	42	97	53	26	74	97	65	17	100	40	58	14	100	5	100	290	44	284	35	57	49	267	44	237	43	353	30	309	32	850	27	141	51	268	36	408	32	96	50	67	100	333	43	177	53	101	65	322	41	0	.	99	56	0	.	556	78	172	46	53	48	183	35	70	39	177	44	75	72	0	.	34	78	174	46	67	54	77	46	287	40	0	.	93	56	63	71	0	.	15	87	22	73	147	42	124	39	23	77	132	49	59	61	220	44	0	.	0	.	121	40	80	53	243	45	432	41	371	31	347	33	214	55	104	59	128	48	0	.	20183	5
	maple	24	71	0	.	0	.	0	.	9	100	0	.	126	49	0	.	61	72	13	72	47	79	0	.	16	100	0	.	0	.	8	100	7	100	0	.	0	.	74	49	17	100	10	100	0	.	14	100	0	.	29	58	0	.	0	.	28	100	10	100	12	100	5	100	0	.	0	.	10	100	0	.	7	100	37	72	7	100	12	100	13	100	78	61	0	.	0	.	8	100	0	.	16	100	0	.	0	.	0	.	76	69	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	0	.	0	.	7	100	0	.	0	.	0	.	27	76	10	100	28	71	0	.	13	100	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	52	75	31	71	29	72	1	100	0	.	0	.	13	100	0	.	1014	14
	ash	60	81	78	47	15	100	36	64	0	.	13	100	0	.	121	66	213	40	49	60	133	63	0	.	18	100	0	.	24	71	13	100	18	100	116	49	0	.	61	52	35	60	0	.	0	.	0	.	0	.	155	34	130	62	0	.	28	100	0	.	0	.	0	.	0	.	0	.	38	76	0	.	0	.	99	55	56	71	6	100	22	100	0	.	19	100	15	100	0	.	0	.	15	100	24	73	0	.	49	100	36	100	162	57	59	61	13	100	0	.	4	100	0	.	0	.	25	100	0	.	0	.	13	100	0	.	0	.	0	.	17	100	24	100	0	.	0	.	0	.	0	.	96	52	0	.	0	.	28	100	12	100	5	100	0	.	77	100	0	.	116	71	7	100	0	.	0	.	50	77	89	72	91	56	42	71	53	59	0	.	0	.	59	75	0	.	2733	11
	oak	160	56	165	44	17	100	175	48	0	.	13	100	0	.	2	100	263	28	-7	100	62	58	0	.	0	.	0	.	0	.	34	100	40	75	76	72	47	90	0	.	9	100	14	100	11	100	34	100	14	100	43	58	16	100	75	100	30	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	100	29	100	41	71	0	.	0	.	0	.	159	60	0	.	22	100	13	100	76	69	9	100	0	.	44	100	55	75	164	81	87	48	0	.	0	.	0	.	0	.	15	100	34	74	28	58	0	.	4	100	17	100	24	100	0	.	-1	100	0	.	0	.	14	100	0	.	0	.	290	53	0	.	0	.	78	64	45	100	23	71	9	100	24	100	0	.	113	90	6	100	0	.	21	100	20	100	13	100	17	100	12	100	33	74	13	100	99	60	57	60	0	.	3010	12
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	39	60	12	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	270	42	42	73	17	71	344	54	216	40	474	42	41	63	251	44	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	46	65	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1758	18
	other broadleaves	216	51	0	.	0	.	0	.	0	.	9	100	182	57	12	100	119	67	0	.	22	76	47	100	0	.	0	.	0	.	70	100	0	.	14	100	0	.	99	100	11	100	0	.	10	100	55	61	0	.	0	.	28	83	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	100	0	.	0	.	0	.	12	100	26	100	0	.	4	100	0	.	0	.	13	100	24	71	15	80	0	.	0	.	0	.	0	.	14	100	5	100	0	.	0	.	49	65	10	100	17	100	0	.	0	.	21	78	0	.	10	100	0	.	9	100	113	100	0	.	0	.	0	.	12	100	106	72	0	.	0	.	0	.	0	.	0	.	0	.	15	100	0	.	0	.	43	53	0	.	106	72	0	.	0	.	0	0	0	.	11	100	0	.	0	.	16	100	0	.	1556	18
	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0
	total	1563	19	930	21	777	25	2300	18	800	28	2305	23	8592	10	8232	10	7726	10	2781	16	631	31	639	33	1090	26	18	.	722	34	1002	25	1374	21	1723	22	61	73	2049	19	3027	15	2495	19	3280	14	5927	10	3714	12	3760	14	1890	22	2196	20	2422	17	467	31	952	25	471	34	563	34	1868	19	436	32	796	28	1344	22	1341	22	609	27	1731	20	1400	24	3676	17	1003	22	1758	24	645	43	484	29	760	29	1425	23	1128	24	1536	27	875	29	814	35	1133	24	776	26	1693	18	957	22	671	65	650	33	388	28	1385	19	458	27	955	27	410	35	503	40	646	37	1025	25	1202	25	1535	21	1071	31	75	76	870	28	836	32	491	45	496	24	822	27	975	23	660	27	117	53	785	35	369	48	841	35	4703	12	2183	15	3057	14	918	32	992	28	1187	25	1240	21	1213	24	819	31	536	31	902	29	0	.	140648	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	464	31	585	29	1070	29	1442	26	1894	25	3108	19	15549	9	8087	10	6704	12	3185	15	75	52	258	46	504	46	0	.	1027	30	2391	20	2654	18	1796	21	15	100	3476	20	6156	13	3990	14	6643	12	11136	9	5564	11	3692	16	1750	22	1962	20	4586	16	324	40	1203	21	715	34	572	29	1928	21	905	28	1899	23	2172	20	1749	23	1056	28	2733	19	1463	26	3616	18	1585	22	1082	27	649	40	388	36	398	34	2016	21	2553	20	1541	25	1205	30	943	27	1092	26	755	27	1737	20	1619	22	0	.	116	73	9	100	329	41	89	65	407	40	639	31	1141	31	1533	27	1244	28	1458	24	2378	20	1254	34	103	49	1227	24	277	50	418	45	2038	16	854	27	1034	22	983	26	173	50	844	40	230	44	726	40	4186	13	4209	14	5689	12	1144	29	1137	29	860	29	1134	23	1297	23	915	32	654	37	1018	32	0	.	179406	2
	fir	512	36	185	48	350	51	1123	25	484	34	1378	25	2175	21	7253	11	4160	14	2991	17	61	86	234	59	310	41	0	.	268	49	216	51	1112	26	932	34	0	.	546	36	275	46	683	26	242	43	600	29	4	100	3419	15	1238	24	2341	19	1573	21	357	39	1087	25	386	31	422	36	1577	23	191	49	156	41	538	37	780	26	282	37	522	31	521	34	1882	23	108	47	508	33	527	33	159	45	444	28	534	34	600	29	473	33	681	38	235	46	257	59	0	.	278	51	81	95	0	.	0	.	16	100	296	42	403	37	226	53	332	38	42	74	176	49	545	36	282	49	952	26	201	48	18	100	506	34	481	47	668	39	348	41	387	37	645	28	261	37	209	63	387	47	290	57	160	51	323	49	317	44	698	24	539	30	183	53	380	41	880	26	565	33	101	68	3	100	227	69	0	.	60295	3
	pine	212	43	260	52	88	44	231	47	26	93	8	100	419	43	51	52	426	26	289	42	180	67	136	56	222	41	0	.	15	75	126	67	0	.	203	56	64	81	0	.	323	34	624	25	34	78	786	28	1145	21	549	29	8	100	112	55	50	62	91	75	56	79	36	100	0	.	15	100	0	.	84	72	14	83	116	65	0	.	169	64	3	100	73	60	234	32	87	55	122	38	21	79	274	34	153	55	4	100	6	100	98	50	87	55	250	41	0	.	184	67	49	76	0	.	0	.	81	100	0	.	0	.	46	91	13	100	18	100	125	54	7	100	0	.	0	.	0	.	9	88	5	100	89	91	27	80	0	.	42	54	0	.	80	60	0	.	0	.	16	100	0	.	986	21	474	22	561	28	0	.	58	72	212	35	90	55	406	36	171	40	288	43	118	49	0	.	12739	6
	larch	71	77	128	55	39	94	140	63	9	79	74	100	92	57	9	100	158	39	22	100	0	.	0	.	20	80	0	.	88	100	19	100	0	.	23	72	0	.	29	100	340	32	513	27	232	35	2136	14	4446	11	25	71	108	99	12	89	0	.	0	.	0	.	0	.	24	100	0	.	0	.	0	.	20	80	6	100	20	72	386	39	25	100	0	.	80	59	25	100	3	100	21	73	0	.	0	.	0	.	52	72	21	77	38	72	3	100	424	37	529	25	346	32	234	36	19	62	46	65	1240	18	385	29	302	51	0	.	0	.	13	100	154	44	28	73	44	100	38	100	87	84	0	.	9	78	0	.	0	.	7	90	0	.	102	54	0	.	62	100	0	.	3	76	4878	12	2397	14	1661	17	32	100	12	100	46	89	27	74	0	.	45	61	22	71	136	58	0	.	22785	4
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	27	60	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	81	7	100	0	.	159	41	1290	16	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	47	100	0	.	16	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	552	21	277	29	122	48	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2522	11
	other conifers	21	61	29	71	29	100	24	65	3	100	3	80	28	66	0	.	292	39	30	97	35	100	0	.	0	.	87	.	37	100	0	.	0	.	0	.	0	.	1	100	7	69	0	.	0	.	8	64	42	45	4	63	31	88	116	89	0	.	0	.	0	.	4	100	0	.	0	.	4	100	0	.	2	100	148	98	2	100	-8	127	3	100	18	100	65	71	4	100	7	77	10	77	0	.	3	83	0	.	2	100	5	100	0	.	31	87	0	.	0	.	0	.	0	.	0	.	0	.	23	100	0	.	0	100	0	.	0	.	5	72	0	.	4	100	0	.	0	.	17	100	53	88	4	100	3	71	0	.	0	.	0	.	78	99	0	.	44	100	0	.	0	.	4	100	8	100	2	61	0	.	6	100	33	71	14	76	9	73	0	.	0	.	0	.	0	.	1437	19
	beech	2043	17	970	22	772	26	1843	22	245	37	882	29	2866	21	2685	16	4559	12	3045	12	490	35	886	28	2034	21	0	.	464	46	737	31	1037	26	1492	25	0	.	1156	24	479	36	485	27	42	58	485	27	0	.	3975	12	1112	24	922	30	1080	25	335	32	295	33	374	40	197	35	445	25	364	32	79	74	1084	27	692	29	907	33	912	24	1151	26	1474	23	1858	16	1682	22	1086	20	891	25	1737	18	596	25	211	69	798	27	444	34	247	35	938	24	0	.	250	37	0	.	1164	39	838	27	484	28	1057	22	793	25	699	27	312	42	12	100	95	65	555	32	206	57	447	33	600	36	43	65	847	25	326	40	130	44	267	30	428	29	1059	23	495	34	531	34	341	36	215	42	527	37	20	100	22	84	680	22	354	34	485	32	769	31	916	24	935	22	593	36	336	34	339	32	0	.	73749	2
	maple	248	25	135	33	113	39	101	34	101	44	131	42	774	17	280	21	373	26	501	19	105	44	211	35	119	37	0	.	52	57	60	49	187	29	96	43	7	81	401	26	66	45	20	51	71	47	100	33	2	100	611	17	115	32	80	38	237	35	65	50	89	39	97	54	72	83	29	36	113	27	43	61	148	38	220	29	104	38	205	33	184	32	481	27	66	45	141	50	106	35	83	41	286	29	160	32	77	44	42	40	287	38	76	44	76	56	39	85	44	58	6	100	29	81	55	51	32	54	18	277	29	77	6	88	93	43	44	54	0	.	106	44	167	37	233	25	128	42	0	.	111	38	81	75	21	67	34	42	53	31	132	31	116	48	2	100	8	89	6	100	60	56	16	72	42	43	211	23	110	38	106	43	97	34	205	31	151	28	103	48	76	57	82	56	0	.	11398	4
	ash	383	25	302	39	167	36	112	43	51	73	261	39	186	37	474	31	670	23	194	36	286	51	70	77	164	37	0	.	107	57	195	54	322	37	417	36	24	100	447	58	100	60	12	66	129	44	139	39	76	85	886	22	442	63	192	44	123	39	26	97	53	61	5	100	1	100	17	93	273	57	19	69	34	58	563	27	352	34	136	37	218	42	233	34	131	37	64	42	55	54	118	47	204	43	271	45	84	61	154	63	385	32	357	38	264	36	15	157	55	93	50	46	41	48	87	41	187	40	119	37	6	441	102	52	65	79	44	64	10	100	159	42	84	46	56	42	168	46	6	76	42	65	165	46	0	.	4	100	18	76	121	51	123	51	39	53	164	60	0	.	226	54	85	55	56	51	169	35	230	45	277	41	251	35	210	30	256	33	71	80	174	41	164	46	0	.	15045	5
	oak	418	46	258	40	31	64	330	33	0	.	13	100	48	61	28	94	621	18	-1	223	128	56	55	97	52	54	0	.	41	65	34	100	58	55	127	46	423	41	0	.	9	100	107	78	11	100	148	68	34	100	240	33	92	62	129	79	65	59	87	62	0	.	18	100	0	.	0	.	2	100	0	.	11	100	171	94	70	51	7	100	16	60	7	100	322	37	10	100	52	75	70	55	171	40	10	92	0	.	37	100	107	47	297	54	169	38	0	.	0	.	0	.	37	47	157	44	300	29	115	59	180	41	52	61	27	85	42	100	18	100	100	69	24	69	0	.	85	67	0	.	50	66	390	48	226	48	0	.	356	39	83	90	48	45	244	38	47	61	17	100	294	66	33	50	75	53	116	32	20	100	13	100	53	50	27	71	118	42	104	37	159	49	109	49	0	.	8849	7
	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	.	293	37	24	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	.	22	100	379	36	188	55	343	37	803	31	1036	21	639	35	295	32	990	24	0	.	0	.	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	90	0	.	6	100	0	.	0	.	15	100	0	.	97	54	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5184	9
	other broadleaves	551	47	134	37	126	36	95	48	17	57	37	72	599	29	162	27	446	26	175	34	122	47	89	64	86	29	0	.	30	52	130	71	15	39	98	50	32	58	229	59	166	49	55	43	280	28	709	19	248	35	382	23	102	46	33	58	90	45	13	58	16	50	2	73	14	51	55	58	112	65	31	52	59	46	13	72	96	40	143	35	198	38	122	43	66	52	62	46	44	50	177	43	130	45	105	33	40	38	63	59	178	47	124	41	116	44	221	36	254	24	193	35	368	31	412	23	818	19	491	26	310	36	436	24	36	50	95	51	31	53	151	46	224	66	61	39	35	70	63	59	138	49	179	57	4	61	10	44	39	53	41	59	68	85	82	55	77	69	3	100	28	73	419	24	249	26	545	22	22	58	99	51	107	41	60	38	13	72	78	48	125	65	47	55	0	.	13850	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	0	.	0	.	0	0	0	0	0	0	0	0	0	0	0	.	0	.	0	0	0	.	0	.	0	.	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	4924	15	2987	17	2785	18	5441	14	2830	22	5895	17	22763	8	19029	8	18408	8	10431	10	1481	25	1938	23	3512	18	87	.	2129	23	3909	17	5386	15	5184	16	565	39	6284	16	7927	11	6496	12	7686	11	16699	7	12873	8	13783	8	4997	17	5898	15	7803	13	1298	23	2800	18	1636	25	1301	26	4067	17	1964	21	2310	21	4129	17	4460	17	2905	19	5206	14	3782	18	7906	15	4516	14	3666	18	2651	19	1936	21	3643	16	3847	17	3570	18	3167	20	3411	19	2403	23	3196	18	1481	20	3710	14	2534	17	2215	23	2487	17	3010	13	4326	12	2490	16	3267	15	1517	24	1438	28	2019	23	3020	19	2479	20	4171	17	2508	25	346	38	2979	17	2001	25	1498	26	2702	15	2184	20	3114	17	2405	18	1280	27	1979	29	777	39	2025	28	11517	8	8126	10	10550	9	2452	22	2375	22	2806	20	3563	17	3749	17	2182	22	1837	26	2241	24	0	.	407258	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. 2280899. Birmensdorf, Swiss Federal Research Institute WSL

back