Selection from the list of topics

What do the numbers stand for?
What is the purpose of the standard error?
When are two results statistically different?
When is it not sufficient to consider only the standard error?
Two types of changes?
Change analyses: When are the results (not) additive?
Why is a dot (“.”) sometimes given in the cells for standard error or estimated value?
Why are no standard error values shown in some tables?
Negative values for growing stock, increment or fellings?

1. What do the numbers stand for?

The tables mainly show results that were calculated using statistical methods from the data of the sample inventory of the National Forest Inventory (NFI). Such results always consist of two figures: (1) the estimated value and (2) the sampling error, the so-called standard error.

Example 1: Estimated value and standard error

NFI5

volume of deadwood (stemwood)
ownership (2 categories)

regional demarcation: production region

unit: m³/ha

evaluation area: accessible forest without shrub forest

grid: 1.4 km grid, subgrids 1-5

state 2018/26
	production region
	Jura		Plateau		Pre-Alps		Alps		Southern Alps		Switzerland
ownership (2 categories)	m³/ha	±%	m³/ha	±%	m³/ha	±%	m³/ha	±%	m³/ha	±%	m³/ha	±%
public	30	10	17	13	37	9	36	6	26	10	30	4
private	27	17	20	12	50	10	32	8	39	13	34	5
total	29estimated value	9standard error	19	9	44	7	35	5	29	8	32	3

The tables usually show the relative (percentage) standard error (“±%”), but occasionally – in the case of estimated percentages – the absolute standard error (“±”).

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2. What is the purpose of the standard error?

The standard error can be used to define confidence intervals around the estimated value, which contain the true value of the population with a certain statistical certainty.

The statistical certainty is:

68% if the confidence interval is calculated using the standard error
(68% confidence interval = estimated value ± standard error), and
95% if the confidence interval is calculated using twice the standard error
(95% confidence interval = estimated value ± 2 × standard error*)

Example 2: Calculating confidence intervals

LFI5
volume of deadwood (stemwood)
ownership (2 categories)
regional demarcation: production region
unit: m³/ha
evaluation area: accessible forest without shrub forest
grid: 1.4 km grid, subgrids 1-5
state 2018/26
	production region
	Jura
ownership (2 classes)	m³/ha	±%
public	30	10
private	27	17
total	29	9

Question
What are the 68% and 95% confidence intervals of the above estimates?

Procedure

Calculate the absolute standard error (= relative standard error × estimated value / 100)
Calculate the confidence intervals
- 68% confidence interval = estimated value ± absolute standard error
- 95% confidence interval = estimated value ± 2 × absolute standard error

Answer

			Step 1	Step 2

ownership (2 categories)	volume of deadwood Jura NFI5
	estimated value	standard error		confidence interval
		relative	absolute	68%	95%
	m³/ha	±%	±m³/ha	m³/ha	m³/ha
public	30	10	3	27-33	24-36
private	27	17	5	22-32	17-37
total	29	9	3	26-32calculated with the standard error, i.e. 29 ± 3	23-25calculated with twice the standard error, i.e. 29 ± 2 × 3

The volume of deadwood in the Jura is between 26 and 32 m³/ha with a statistical certainty of 68% and between 23 and 35 m³/ha with a statistical certainty of 95%.

The 95% confidence interval is larger than the 68% confidence interval. This results in higher statistical certainty with the 95% confidence interval.

Example 3: Visualisation of the 68% and 95% confidence intervals

Data: see example 2

When interpreting the results, one must define the level of statistical certainty that one would like to apply to the statement.

The 68% confidence interval is generally used in the National Forest Inventory (NFI).

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3. When are two results statistically different?*

This can be checked by comparing the confidence intervals of two estimated values:

If the 68% confidence intervals of two estimates do not overlap, it can be assumed with some certainty that the two populations differ.
If the 95% confidence intervals of two estimates do not overlap, it can be assumed with high certainty that the two populations differ.

Example 4: Interpretation of two results from the same inventory

NFI5
growing stock (stemwood)
ownership (2 categories)
regional demarcation: production region
unit: m³/ha
evaluation area: accessible forest without shrub forest
grid: 1.4 km grid, subgrids 1-5
state 2018/26
	production region
	Jura		Plateau		Pre-Alps		Alps		Southern Alps		Switzerland
ownership (2 categories)	m³/ha	±%	m³/ha	±%	m³/ha	±%	m³/ha	±%	m³/ha	±%	m³/ha	±%
public	331	3	311	3	405	4	300	3	256	5	314	2
private	387	5	432	4	454	4	348	4	285	6	398	2
total	345	2	363	2	431	2	314	2	262	4	343	1

	case 2						case 1

case 1

Question
Is the growing stock per hectare greater in the Alps than in the Southern Alps?

Procedure

Calculate the absolute standard errors
Calculate the confidence intervals depending on the desired level of statistical certainty:
- 68% confidence intervals (some certainty; absolute standard error)
- 95% confidence intervals (high certainty; twice the absolute standard error)
Assess whether the confidence intervals corresponding to the desired level of statistical certainty do not overlap

Answer

ownership (2 categories)	growing stock NFI5
	Alps					Southern Alps
	estimated value	standard error		confidence interval		estimated value	standard error		confidence interval
		relative	absolute	68%	95%		relative	absolute	68%	95%
	m³/ha	±%	±m³/ha	m³/ha	m³/ha	m³/ha	±%	±m³/ha	m³/ha	m³/ha
total	314	2	6	308-320	302-326	262	4	10	252-272	242-282

Neither the 68%-confidence intervals nor the 95%-confidence intervals overlap (pairs of values in ).

In this case, the level of statistical certainty selected has no influence on the result.

Overall, this means that there is high statistical certainty that the growing stock per hectare is greater in the Alps than in the Southern Alps.

Case 2

Question
Is the growing stock per hectare greater in the Plateau than in the Jura?

Procedure

See case 1.

Answer

ownership (2 categories)	growing stock NFI5
	Jura					Plateau
	estimated value	standard error		confidence interval		estimated value	standard error		confidence interval
		relative	absolute	68%	95%		relative	absolute	68%	95%
	m³/ha	±%	±m³/ha	m³/ha	m³/ha	m³/ha	±%	±m³/ha	m³/ha	m³/ha
total	345	2	7	338-352	331-359	363	2	7	356-370	349-377

The 68%-confidence intervals do not overlap (pairs of values in ).
In contrast, the 95%-confidence intervals overlap (pairs of values in ).

In this case, the level of statistical certainty selected has an influence on the interpretation of the results. At the 68% confidence interval level, the conclusion is that the growing stock per hectare is higher in the Plateau than in the Jura. At the 95% confidence interval level, however, this conclusion cannot be drawn.

Considering both confidence interval levels, it can be said that there is some, but not high, statistical certainty that the growing stock per hectare is greater in the Plateau than in the Jura.

The confidence intervals can also be used to determine whether a value estimated with a sample from the National Forest Inventory (NFI) deviates from a target value (e.g. from Swiss forest policy) or whether a change between two inventories is statistically certain.

Example 5: Interpretation of two results from different inventories

ownership (2 categories)	growing stock Plateau*
	NFI4		NFI5
	m³/ha	±%	m³/ha	±%
public	340	3	309	3
private	447	4	432	4
total	386	2	363	2
* accessible forest without shrub forest NFI4/NFI5

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

Procedure

Calculate the absolute standard errors
Calculate the confidence intervals depending on the desired level of statistical certainty:
- 68% confidence intervals (some certainty; absolute standard error)
- 95% confidence intervals (high certainty; twice the absolute standard error)
Assess whether the confidence intervals corresponding to the desired level of statistical certainty do not overlap.

Answer

ownership (2 categories)	growing stock Plateau*
	NFI4					NFI5
	estimated value	standard error		confidence interval		estimated value	standard error		confidence interval
		relative	absolute	68%	95%		relative	absolute	68%	95%
	m³/ha	±%	±	m³/ha	m³/ha	m³/ha	±%	±	m³/ha	m³/ha
public	340	3	11	329-351	318-362	309	3	11	298-320	287-331
private	447	4	16	431-463	415-479	432	4	17	415-449	398-466
total	386	2	8	378-394	370-402	363	2	9	354-372	345-381
* accessible forest without shrub forest NFI4/NFI5

The 68%-confidence intervals do not overlap in the public forest (pairs of values in ), but they do in the private forest and the total forest (pairs of values in ). At the certainty level of the 68% confidence intervals, it can be concluded that the growing stock per hectare in the public forest of the Plateau has decreased. For the private forest, as well as for the total forest, the decrease is not statistically certain at this level.

The 95%-confidence intervals overlap in all three categories. At the certainty level of the 95% confidence intervals, it is therefore not certain that the growing stock has decreased, even for the public forest.

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

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

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

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

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

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

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

Procedure

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

Answer

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

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

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

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

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

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

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

Procedure

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

Answer

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

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

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

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

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

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

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

Example 8: Standard error and combination of variable expressions

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

The standard error increases as the level of detail increases.

Large standard errors are to be expected if:

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

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

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

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5. Two types of changes?

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

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

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

The results are:

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

Example 9: : Additivity/non-additivity of changes

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

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

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

Example 10: Average number of years per domain

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

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

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

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

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

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

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

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

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

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

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NFI5
growing stock (stemwood)
development stage · main tree species
regional demarcation: forest district (2024)
unit: 1000 m³
evaluation area: accessible forest without shrub forest NFI1-NFI5
grid: 1.4 km grid, subgrids 1-5
state 2018/26
		forest district (2024)
		AG01		AG02		AG03		AG04		AI01		AR01		BE01		BE02		BE03		BE04		BSBL01		BSBL02		BSBL03		BSBL04		FR01		FR02		FR03		FR04		GE01		GL01		GR01		GR02		GR03		GR04		GR05		JU01		LU01		LU02		LU03		NE01		NE02		NE03		NE04		NE06		NW01		OW01		OW02		SG01		SG02		SG03		SG04		SG05		SH01		SO01		SO02		SO03		SO04		SZ01		SZ02		SZ03		TG01		TG02		TG03		TI01		TI02		TI03		TI04		TI05		TI06		TI07		TI08		TI09		UR01		UR02		UR03		VD02		VD03		VD04		VD05		VD06		VD07		VD08		VD09		VD11		VD12		VD14		VD15		VD16		VD18		VD20		VD22		VS01		VS02		VS03		ZG01		ZH01		ZH02		ZH03		ZH04		ZH05		ZH06		ZH07		lakes		Switzerland
development stage	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	.	160	99	10	.	21	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	119	100	0	.	81	85	197	70	84	57	0	.	0	.	0	.	4	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	68	.	0	.	0	.	0	0	0	.	0	.	11	.	0	.	0	.	0	.	85	.	10	100	0	.	0	.	59	81	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	46	.	17	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	972	30
	fir	0	.	0	.	0	.	0	.	0	.	0	.	34	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	97	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	153	68
	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	40	80	15	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	40	100	0	.	0	.	0	.	0	.	0	.	0	.	17	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	135	43
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	51	71	73	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	23	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	147	46
	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	.	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	.	19	.	0	.	0	.	37	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	.	0	.	0	.	0	.	0	.	0	.	2	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	71	83	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	39	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	.	0	.	0	.	0	.	174	47
	maple	0	.	0	.	0	.	0	.	0	.	16	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	38	64
	ash	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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
	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	.	16	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	52	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	67	80
	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	.	6	.	0	.	0	.	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
	other broadleaves	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	34	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	34	100
	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
	total	0	.	0	.	0	.	0	.	0	.	36	.	194	83	10	.	73	100	0	.	0	.	0	.	0	.	0	.	0	.	34	.	0	.	0	.	0	.	2	.	119	100	0	.	81	85	248	62	197	48	17	.	0	.	0	.	4	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	68	.	0	.	0	.	111	88	0	.	0	.	11	.	0	.	0	.	0	.	115	.	25	73	0	.	0	.	59	81	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	52	.	170	.	0	.	16	.	0	.	52	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	23	100	8	.	10	.	0	.	0	.	0	.	0	.	0	.	3	.	0	.	0	.	0	.	1736	22
young growth/ thicket	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	23	100	0	.	0	0	0	.	27	89	662	37	259	54	66	82	70	100	0	.	0	.	0	.	0	.	0	.	31	100	155	66	19	.	0	.	20	100	389	54	0	.	439	81	569	40	282	61	18	100	3	.	211	73	12	100	0	.	0	.	5	.	21	87	0	.	0	.	30	81	8	100	24	.	0	0	38	74	0	.	0	.	22	100	0	.	0	.	0	.	0	.	0	.	64	77	6	.	0	.	0	.	66	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	37	100	0	.	0	.	0	.	38	.	0	.	0	.	0	.	0	.	0	.	163	70	61	100	0	.	0	.	0	.	0	.	0	.	10	.	0	.	34	100	44	71	0	.	28	100	38	.	0	.	38	73	0	.	0	.	0	.	0	.	0	.	4035	16
	fir	3	100	0	.	0	.	7	76	0	.	0	0	73	100	78	65	23	63	0	.	3	.	0	.	0	.	0	.	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	48	77	0	.	52	93	21	100	0	.	0	.	39	.	29	100	0	.	0	.	0	.	0	.	0	.	0	.	13	100	0	.	0	.	0	.	0	.	15	100	0	.	0	.	0	.	35	78	61	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	34	.	0	.	10	.	0	.	0	.	0	.	25	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	22	71	0	.	4	.	94	82	0	.	0	.	0	.	0	.	0	.	695	24
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	22	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	49	100	0	.	0	.	26	100	0	.	0	.	18	.	44	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	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	.	23	73	0	.	0	.	0	.	0	.	0	.	201	40
	larch	1	100	0	.	0	.	0	.	0	.	0	.	127	78	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	175	63	107	71	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	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	100	0	.	0	.	0	.	0	.	22	100	0	.	0	.	0	.	0	.	0	0	38	95	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	494	35
	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	.	5	100	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	54
	beech	134	81	0	.	48	.	21	70	0	.	63	75	356	89	27	54	176	65	0	.	0	.	9	.	0	.	0	.	0	.	39	100	0	.	0	.	0	.	0	0	0	.	19	.	0	.	0	.	0	.	14	76	0	.	14	100	148	86	0	.	0	.	8	.	1	100	0	.	0	.	0	.	0	.	0	.	19	100	0	.	4	100	0	.	15	93	0	.	13	100	1	.	0	.	0	.	14	100	0	.	0	.	0	.	25	.	0	.	0	.	0	.	0	.	17	.	0	.	0	.	0	.	0	.	25	100	0	.	0	.	0	.	0	.	0	.	-22	.	0	.	0	.	1	100	1	100	20	100	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	100	0	.	1	.	31	94	174	72	0	.	12	.	0	.	0	.	1460	28
	maple	11	76	16	100	0	.	0	.	0	.	11	76	33	88	13	80	0	.	0	.	42	.	0	.	0	.	0	.	0	.	0	.	13	100	0	.	0	.	19	100	2	100	0	.	15	100	0	.	0	.	7	77	0	.	0	.	14	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	14	.	16	100	0	.	0	.	0	.	26	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	281	27
	ash	1	100	0	.	0	.	0	.	0	.	27	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	35	100	12	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	43	100	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	129	49
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	31	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	75	100	23	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	164	51
	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	.	8	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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
	other broadleaves	4	100	18	100	24	.	0	.	0	.	0	.	32	85	37	76	2	100	3	100	0	.	0	.	0	.	0	.	0	.	3	100	0	.	70	.	0	.	0	0	12	100	0	.	0	.	0	.	0	.	11	100	5	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	74	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	0	.	0	.	0	0	51	.	0	.	0	.	1	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	296	35
	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
	total	154	72	57	71	72	.	28	56	0	.	133	72	1284	34	415	44	330	61	73	100	46	.	9	.	0	.	0	.	0	.	73	72	206	64	101	.	24	71	46	100	452	49	19	.	454	78	770	43	389	60	98	56	25	.	321	66	198	68	0	.	0	.	52	.	52	95	0	.	0	.	30	81	14	77	52	.	19	100	55	70	14	77	0	.	80	85	0	.	55	72	1	.	0	.	14	.	146	63	67	.	0	.	0	.	117	.	4	77	51	.	0	.	0	.	27	.	0	.	0	.	0	.	0	.	63	72	0	.	0	.	0	.	72	.	0	.	-12	.	0	.	0	.	99	81	213	62	82	100	0	.	0	.	26	100	0	.	0	.	10	.	0	.	34	100	82	59	0	.	78	71	38	.	6	.	186	61	174	72	0	.	12	.	0	.	0	.	7789	12
pole timber	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	123	73	102	61	261	70	98	92	0	.	100	103	711	36	83	54	570	31	57	78	35	100	39	100	101	93	0	.	68	.	0	.	131	80	334	72	0	.	162	94	175	86	63	100	79	55	731	34	129	83	46	88	160	77	210	63	331	53	84	75	81	100	0	.	18	100	0	.	0	.	86	73	147	95	195	60	133	60	23	94	0	.	29	100	68	76	67	88	0	.	80	71	0	.	31	100	274	58	2	.	166	73	101	72	132	100	38	59	176	65	0	.	0	.	0	.	0	.	9	79	0	.	0	.	39	.	199	93	329	69	27	66	177	73	107	100	198	71	69	100	39	.	37	.	33	71	0	.	0	.	0	.	36	76	0	.	82	100	0	.	5	100	111	58	85	51	271	54	41	73	61	.	241	55	60	66	278	89	78	100	187	71	114	62	0	.	9743	9
	fir	11	100	0	.	0	.	43	84	0	.	128	100	46	97	115	58	587	35	25	73	0	.	24	100	62	91	0	.	0	.	0	.	25	100	21	100	0	.	146	74	0	.	10	100	37	100	72	85	0	.	309	71	78	100	506	48	228	62	124	100	0	.	0	.	11	100	0	.	0	.	0	0	0	.	4	100	44	76	0	.	0	.	0	.	0	.	100	84	11	100	0	.	86	100	112	71	128	71	0	.	0	.	65	100	0	.	18	100	4	100	0	.	0	.	0	.	0	.	1	100	0	.	0	.	13	.	0	.	0	.	1	100	0	.	26	100	73	100	75	100	0	.	12	.	157	74	0	.	0	.	9	.	16	100	59	100	11	100	0	.	0	.	0	.	0	.	53	91	12	100	28	.	20	100	0	.	18	72	16	100	0	.	54	72	0	.	3832	14
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	100	23	100	0	.	45	85	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	20	100	20	100	0	.	22	100	199	38	0	.	0	.	0	.	0	.	0	.	29	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	53	100	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	12	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	89	72	46	79	35	95	0	.	0	.	47	100	0	.	27	100	44	100	0	.	0	.	0	.	766	21
	larch	6	100	48	71	46	100	0	.	0	.	0	.	15	73	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	0	.	33	100	0	.	59	62	57	61	0	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	100	0	.	27	100	0	.	42	83	65	100	0	.	0	.	61	100	312	50	0	.	0	.	0	.	0	.	0	.	73	71	0	.	20	100	0	.	66	100	0	.	0	.	0	.	0	.	0	.	0	.	36	100	0	.	0	.	0	.	68	100	386	47	86	62	36	71	0	.	0	.	9	100	20	89	0	.	0	.	0	.	0	.	0	.	1614	19
	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	.	24	94	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	37	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	61	60
	other conifers	28	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	118	73	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	0	.	0	.	17	57	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	6	100	4	100	2	77	0	.	0	.	14	89	1	100	0	.	0	.	0	.	0	.	0	.	221	43
	beech	123	44	178	48	30	93	22	61	0	.	0	.	209	74	123	74	249	35	87	53	29	64	95	54	154	86	0	.	0	.	0	.	32	95	19	89	0	.	104	96	0	.	3	100	0	.	77	64	0	.	161	64	123	60	2	126	36	72	26	79	7	100	0	.	18	84	0	.	133	83	0	.	2	100	67	71	26	100	111	100	0	.	10	100	127	52	58	67	49	69	19	100	38	90	95	63	46	100	0	.	81	78	3	100	111	66	0	.	56	69	0	.	365	51	0	.	165	68	153	59	2	100	22	100	13	.	0	.	0	.	32	100	5	76	0	.	45	97	45	100	0	.	0	.	34	59	0	.	14	.	48	.	129	71	2	100	33	76	0	.	0	.	0	.	4	100	119	81	6	100	18	.	109	69	11	71	53	77	87	73	51	72	71	58	0	.	4574	11
	maple	62	52	45	79	0	.	12	81	0	.	43	80	135	39	21	73	33	81	46	53	66	66	22	65	9	174	0	.	0	.	2	100	4	100	16	100	0	.	32	79	0	.	0	.	0	.	16	74	0	.	66	54	32	85	6	75	49	46	56	92	14	73	36	.	0	.	0	.	6	100	26	100	0	.	25	72	8	100	34	100	0	.	0	.	24	87	19	100	26	100	0	.	35	100	47	74	0	.	48	.	76	66	36	82	21	61	34	100	0	.	0	.	1	100	0	.	27	78	9	50	0	.	3	100	29	.	13	100	0	.	15	100	55	59	53	100	22	100	2	100	0	.	0	.	14	90	0	.	8	.	0	.	33	100	17	100	0	.	0	.	40	100	9	100	34	90	63	69	28	96	0	.	-11	100	4	100	0	.	137	85	0	.	82	88	0	.	1978	12
	ash	44	51	1	100	26	100	1	100	0	.	-13	100	35	92	48	84	44	67	7	71	11	100	13	74	0	.	0	.	17	.	27	100	61	70	56	71	0	.	0	.	0	.	0	.	0	.	34	52	0	.	80	98	27	92	0	.	5	100	45	81	0	.	4	.	3	100	0	.	33	73	0	.	0	.	25	100	0	.	0	.	0	.	54	100	30	79	3	100	0	.	0	.	8	100	79	60	0	.	-7	.	12	59	7	100	27	96	18	100	0	.	0	.	0	.	20	.	45	71	95	78	0	.	0	.	0	.	34	100	0	.	11	100	7	61	32	100	29	100	4	100	0	.	0	.	6	100	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	41	84	40	95	15	76	26	100	0	.	0	0	15	100	67	70	19	95	2	73	20	100	0	.	1393	15
	oak	11	100	1	100	0	.	2	100	0	.	0	.	0	.	0	.	39	67	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	100	0	.	0	.	0	.	0	.	0	.	0	0	0	.	11	100	0	.	0	.	0	.	34	100	0	.	0	.	0	.	0	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	55	100	0	.	0	.	5	100	0	0	0	.	0	.	0	.	2	100	0	.	10	100	0	.	0	.	0	.	17	100	10	.	74	62	71	76	0	.	15	100	0	.	0	.	0	.	0	.	23	100	0	.	0	.	2	100	0	.	0	.	37	90	0	.	9	.	0	.	0	.	43	100	0	.	0	.	0	.	27	100	19	60	26	77	0	.	0	.	0	.	0	.	0	.	35	73	1	100	11	100	0	.	611	21
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	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	.	73	100	106	100	213	60	0	.	113	75	0	.	44	100	362	51	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	26	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	956	28
	other broadleaves	25	83	25	65	0	.	25	61	0	.	9	100	48	38	25	100	86	54	1	100	55	68	7	61	4	100	0	.	0	.	112	100	29	74	16	54	0	.	5	74	0	.	0	.	280	50	292	50	69	87	9	76	41	81	0	.	59	72	0	.	4	100	7	.	0	.	0	.	0	.	0	.	6	73	3	100	15	89	4	71	0	.	0	.	15	71	1	100	0	.	24	88	0	.	55	85	0	.	52	.	0	.	12	100	16	78	78	78	2	100	11	100	115	51	28	.	443	45	159	48	27	75	24	76	5	.	11	100	3	71	9	100	27	52	0	.	31	60	174	93	0	.	2	.	1	100	0	.	11	.	10	.	0	.	26	100	0	.	0	.	0	.	124	49	113	46	141	40	5	78	0	.	38	100	8	81	13	86	12	71	2	100	30	100	0	.	3120	13
	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	433	40	401	39	363	54	205	57	0	.	266	88	1199	29	463	41	1751	23	224	48	241	47	200	53	331	57	0	.	85	.	143	97	281	57	484	54	0	.	448	64	202	76	130	79	396	40	1320	27	495	38	682	51	465	48	724	46	708	41	370	50	135	73	47	.	50	70	0	.	177	80	112	70	172	92	320	53	226	60	172	70	0	.	146	100	318	52	249	62	86	69	129	58	168	77	420	51	448	57	95	.	364	48	223	59	344	57	187	49	352	44	183	68	710	35	57	.	928	33	809	33	74	76	426	46	99	.	258	77	331	69	167	65	305	51	237	74	397	56	438	62	39	.	51	.	289	58	0	.	42	.	67	.	250	66	149	71	132	79	0	.	113	72	830	30	432	38	787	33	120	71	107	.	467	44	119	59	457	59	428	48	242	63	383	47	0	.	28869	6
young timber	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	38	79	345	48	0	.	97	99	118	.	116	95	808	36	463	56	1097	33	27	66	0	.	84	100	9	88	0	.	142	100	598	50	3	76	271	99	0	.	150	71	704	49	807	48	153	80	306	54	382	55	233	86	83	100	556	46	196	65	0	.	229	98	0	.	9	.	0	.	302	73	125	91	477	75	54	.	197	72	498	51	0	.	45	.	274	64	32	.	17	100	0	0	15	90	19	.	129	.	0	.	314	82	50	100	218	74	0	.	148	77	0	.	0	.	0	.	0	.	0	.	45	81	96	81	53	71	0	.	62	86	17	70	77	100	22	.	0	.	0	.	131	85	101	85	0	.	69	.	209	71	244	95	159	77	133	78	20	.	0	.	0	.	240	36	792	57	429	55	160	.	136	87	0	.	584	58	265	66	0	0	0	.	255	61	0	.	15239	9
	fir	0	.	38	100	76	71	24	71	59	.	33	100	2	100	276	56	252	59	148	52	0	.	0	.	59	100	0	.	41	100	80	100	115	100	0	100	0	.	19	100	154	72	0	.	0	.	1	100	0	.	365	50	237	84	146	59	0	0	0	.	18	100	0	.	0	.	0	.	29	87	15	100	155	99	0	.	0	.	32	75	39	100	0	.	31	100	14	.	48	100	0	.	0	.	0	.	0	.	0	.	36	120	41	73	106	100	0	.	0	.	0	.	0	.	0	.	0	.	122	100	0	.	79	90	308	62	0	.	0	.	167	62	11	100	0	.	0	.	0	.	28	75	22	100	0	.	0	.	43	100	95	74	36	100	20	100	0	.	0	.	0	.	8	100	0	.	0	.	48	.	0	.	0	.	115	73	110	64	0	.	0	.	0	.	0	.	3902	14
	pine	0	.	21	71	0	.	0	.	0	.	0	.	0	.	0	.	43	61	73	86	0	.	43	100	0	.	0	.	0	.	15	100	0	.	4	100	0	.	0	.	31	80	41	100	0	.	262	76	73	71	137	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	42	100	0	.	0	.	0	.	0	.	0	.	98	70	0	.	0	.	2	100	6	100	0	.	0	.	0	.	0	.	0	.	40	100	0	.	0	.	66	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	398	56	123	49	212	63	0	.	25	100	0	.	69	76	0	.	0	.	0	.	0	.	0	.	1850	21
	larch	-4	100	6	100	0	.	22	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	57	100	0	.	0	.	0	.	0	.	0	0	29	100	159	80	0	.	225	40	0	.	0	.	22	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	51	100	0	.	0	.	28	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	29	100	0	.	0	.	54	80	0	.	61	100	0	.	0	.	135	72	131	100	19	100	0	.	0	.	0	.	52	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	361	38	193	55	134	55	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1777	18
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	209	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	.	8	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	128	78	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	347	42
	other conifers	14	100	0	.	0	.	78	77	0	.	0	.	0	.	0	.	81	61	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	100	0	.	0	.	0	.	0	.	2	100	7	100	1	100	40	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	5	100	0	.	66	100	0	.	0	.	30	100	0	.	0	.	0	.	0	.	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	28	100	7	100	0	.	0	.	0	.	0	.	365	32
	beech	39	88	71	76	7	100	332	72	25	.	18	100	2	72	179	64	478	37	875	35	0	.	74	74	146	85	0	.	63	100	54	72	180	73	38	100	0	.	10	100	48	58	20	100	0	.	267	67	0	.	381	48	55	83	80	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	100	171	81	13	.	306	89	148	72	204	90	0	.	298	59	13	.	219	66	48	55	133	80	0	.	0	.	0	.	24	100	1	100	0	.	0	.	0	.	0	.	32	100	327	65	290	50	349	73	683	41	113	86	257	61	0	.	88	100	39	100	50	100	0	.	0	.	0	.	86	96	19	100	0	.	12	.	38	100	156	72	0	.	7	100	9	.	0	.	0	.	0	.	0	.	66	61	14	.	29	100	0	.	71	66	269	63	0	.	36	.	105	80	0	.	8179	11
	maple	0	.	32	72	9	71	0	.	17	.	84	100	76	78	96	63	114	50	0	0	0	.	10	100	6	100	0	.	20	100	0	.	61	74	26	100	0	.	142	81	28	100	0	.	20	100	54	71	3	100	-13	420	4	100	18	100	68	100	0	.	15	100	0	.	8	.	0	.	14	100	0	.	107	100	-4	.	53	82	80	75	65	100	13	.	50	82	6	.	39	96	28	64	11	71	0	.	0	.	0	.	0	.	2	100	45	100	0	.	59	100	0	.	2	100	0	0	11	89	0	.	0	.	0	.	63	70	0	.	0	.	123	67	68	81	9	.	0	.	0	.	40	100	0	.	0	.	0	.	31	60	33	68	4	100	0	.	10	.	0	.	0	.	0	.	0	.	0	.	0	.	27	100	0	.	139	49	31	100	106	63	35	.	93	82	0	.	2293	14
	ash	0	.	0	.	6	100	0	.	0	.	34	100	0	.	48	68	50	75	0	.	0	.	0	.	15	100	0	.	0	.	0	.	133	67	39	100	0	.	54	78	0	.	3	100	0	0	66	89	0	.	29	71	0	.	49	65	11	100	0	.	1	100	0	.	0	.	0	.	269	100	0	.	27	86	47	.	69	90	0	.	23	100	0	.	0	.	7	.	34	70	48	81	0	.	55	.	0	.	0	.	0	.	4	100	64	100	0	.	211	100	0	.	3	100	0	.	43	100	28	100	0	0	35	100	34	69	0	.	0	.	72	100	25	100	18	.	0	.	0	.	8	100	0	.	0	.	0	.	29	100	78	88	0	.	31	80	18	.	0	.	0	.	28	73	0	.	18	71	0	.	2	100	0	.	32	71	16	100	139	79	0	.	0	.	0	.	2053	21
	oak	129	100	0	.	0	.	0	.	0	.	0	.	17	74	0	.	64	75	0	.	0	.	0	.	0	.	0	.	9	100	0	.	39	100	15	90	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	19	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	92	13	.	11	100	0	.	15	100	0	.	0	.	0	.	0	.	23	71	0	.	0	.	0	.	0	.	5	100	10	100	250	52	0	.	66	71	67	88	0	0	0	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	202	73	0	.	0	.	140	71	0	.	0	.	0	.	14	100	9	100	6	78	0	.	0	.	0	.	0	.	0	.	18	100	0	.	0	.	0	.	1177	24
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	100	0	.	0	.	171	92	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	94	72	0	.	123	100	23	100	274	51	102	77	48	100	194	63	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	31	100	0	.	11	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1075	26
	other broadleaves	0	.	60	62	34	70	0	.	0	.	0	.	17	75	23	77	127	58	6	100	0	.	0	.	0	.	0	.	0	.	52	79	8	72	38	100	0	.	23	100	27	100	21	61	34	71	143	75	114	100	31	61	0	.	34	100	0	.	0	.	0	.	0	.	0	.	0	.	16	91	0	0	5	100	0	.	0	.	54	77	18	100	0	.	25	65	13	.	0	0	73	87	0	0	14	.	0	.	0	.	0	.	16	100	2	100	0	.	107	58	0	.	22	82	236	63	407	48	12	74	129	67	136	51	27	80	0	.	0	.	36	95	0	0	6	.	0	.	0	.	16	87	1	100	0	.	0	.	92	89	10	79	0	.	15	100	0	.	0	.	0	.	115	68	24	57	37	63	0	.	16	100	0	.	56	58	0	.	2	100	0	.	0	.	0	.	2528	15
	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	215	74	574	44	131	70	553	55	218	.	284	71	923	34	1086	40	2305	26	1129	33	0	.	211	80	246	71	0	.	276	72	856	42	540	55	431	70	0	.	402	53	996	43	922	45	366	52	1271	34	1008	35	1177	39	379	73	964	41	275	54	0	.	263	87	0	.	17	.	0	.	634	62	151	79	984	47	110	.	624	60	865	45	354	85	58	.	889	38	99	.	369	58	228	56	180	76	89	.	129	.	0	.	374	73	167	74	478	50	0	.	673	44	74	.	249	58	595	47	1275	31	748	47	1103	35	751	36	741	50	0	.	150	74	513	46	231	75	54	.	0	.	0	.	309	59	146	78	0	.	80	.	654	43	616	56	198	72	346	59	57	.	0	.	0	.	1323	29	1143	42	914	38	222	.	235	71	0	.	1093	41	698	45	265	72	71	.	454	60	0	.	40784	6
medium timber	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	118	58	31	100	131	83	0	.	741	63	769	59	1790	31	876	47	1217	41	648	30	0	.	4	100	150	75	0	.	273	88	555	72	410	68	150	82	1	100	450	51	1401	37	873	45	1186	45	1328	36	1775	29	298	60	181	54	133	54	192	82	178	100	105	94	142	74	0	.	146	81	656	65	115	100	0	.	219	58	596	60	197	77	144	100	760	52	501	41	262	74	161	51	105	100	184	86	278	77	381	66	353	60	33	100	51	78	0	.	20	.	389	63	7	100	0	.	37	100	0	.	78	100	0	.	22	100	0	.	724	73	437	78	34	100	272	58	147	99	174	82	67	71	307	80	0	.	58	100	819	37	0	.	183	83	0	.	1	100	34	77	22	100	0	.	919	53	267	69	1059	43	143	100	143	61	361	55	230	64	367	54	-4	100	169	93	128	100	0	.	28864	8
	fir	199	88	2	100	0	.	0	.	42	74	80	65	75	97	145	66	478	46	699	45	14	.	1	100	57	72	0	.	187	99	41	87	278	79	139	100	0	.	131	91	11	100	0	.	0	.	189	71	0	.	461	53	432	70	345	44	144	72	50	100	100	73	56	100	0	.	271	90	54	76	0	.	138	91	58	72	0	.	92	100	74	100	299	48	82	98	134	74	10	100	25	100	185	47	16	100	118	58	200	60	79	100	108	85	0	.	0	.	111	77	0	.	0	.	0	.	0	.	0	.	74	100	0	.	41	.	0	.	220	71	41	73	18	100	120	100	103	71	0	.	286	74	0	.	142	76	86	67	-6	100	101	71	29	.	167	100	341	71	140	71	0	.	0	.	49	100	222	64	77	86	47	100	146	71	163	55	80	73	0	.	0	.	0	.	0	.	9097	11
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	100	31	100	273	77	0	.	23	71	66	58	0	.	0	.	0	.	0	.	24	100	67	100	0	.	47	100	76	100	0	.	139	86	634	46	0	0	0	.	185	68	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	184	56	0	.	22	100	0	.	21	100	0	.	0	.	0	.	0	.	88	100	14	100	0	.	31	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	58	86	0	.	0	.	0	.	0	.	14	100	0	.	0	.	20	100	0	.	0	.	0	.	29	.	0	.	0	.	69	100	0	.	185	56	0	.	142	66	0	.	0	.	160	59	0	.	50	63	55	72	55	100	0	.	0	.	2785	17
	larch	28	100	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	34	100	0	.	0	.	131	71	100	81	28	100	76	59	800	38	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	20	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	.	45	100	24	100	24	.	0	.	20	100	377	60	136	71	278	97	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	285	59	444	52	43	75	0	.	30	100	0	.	0	.	0	.	10	100	0	.	30	100	0	.	3020	19
	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	.	59	76	163	60	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	222	48
	other conifers	0	.	0	.	71	100	0	.	0	.	0	.	0	.	0	.	137	100	3	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	.	5	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	.	56	100	14	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	71	17	100	0	.	0	.	0	.	0	.	0	.	310	54
	beech	427	45	93	79	219	65	54	82	29	71	120	96	411	54	152	56	809	38	1034	30	101	.	504	54	378	50	0	.	22	71	235	57	255	65	549	55	0	.	301	56	119	88	80	88	0	.	33	79	0	.	730	43	208	61	481	58	53	89	82	100	18	76	47	76	0	.	101	100	251	66	23	100	366	74	201	70	77	84	150	64	55	100	584	42	671	38	568	55	362	44	183	60	748	40	56	72	11	100	443	46	6	100	86	69	58	83	0	.	0	.	0	.	33	.	227	73	49	62	243	80	81	100	245	74	75	.	0	.	19	100	213	100	0	.	47	100	66	76	26	100	409	50	0	.	45	76	103	53	76	100	275	63	0	.	249	61	0	.	159	72	0	.	0	.	0	.	197	70	120	75	225	67	153	57	207	59	150	63	86	100	95	73	111	65	0	.	16526	8
	maple	209	46	0	.	2	100	-6	278	0	.	0	.	127	51	16	87	67	58	195	43	0	.	85	71	38	63	0	.	39	100	14	71	25	100	0	.	0	.	80	51	18	72	0	.	0	.	5	100	0	.	114	47	42	63	0	0	8	100	9	100	0	.	0	.	0	.	0	.	40	62	0	.	13	100	114	64	0	.	43	100	23	100	324	41	0	.	71	79	48	56	23	71	148	65	11	80	13	100	12	100	0	.	33	59	0	.	0	.	0	.	11	100	2	.	0	.	0	.	0	.	0	.	2	100	42	.	0	.	0	.	7	108	2	100	25	100	10	100	7	100	101	51	0	.	17	89	25	71	0	.	36	100	0	.	20	100	0	.	0	.	0	.	0	.	0	.	5	100	25	100	75	62	25	71	68	54	38	86	0	.	16	100	0	.	0	.	2563	11
	ash	106	81	158	69	0	.	0	.	0	.	27	100	86	92	6	100	205	63	33	100	0	.	21	78	113	71	0	.	0	.	218	100	161	100	144	61	0	.	45	100	0	.	0	.	0	.	0	.	0	.	257	61	34	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	100	0	.	0	0	201	72	0	.	31	100	0	.	186	55	71	100	85	59	22	100	74	100	46	72	0	.	6	100	148	100	14	100	0	.	36	100	0	.	0	.	2	100	0	.	0	.	103	100	0	.	0	.	11	100	114	.	5	100	0	.	75	71	0	0	16	100	156	100	88	93	0	.	0	.	2	100	12	100	0	.	0	.	75	.	37	100	0	.	0	.	0	.	0	0	5	100	57	100	89	72	148	55	11	100	22	100	67	85	0	.	23	100	0	.	0	.	3669	15
	oak	140	100	45	100	0	.	0	.	0	.	0	.	0	.	0	.	111	63	0	.	0	.	4	100	64	82	0	.	0	.	60	100	12	100	77	81	225	80	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	58	100	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	21	73	0	.	0	.	0	.	0	.	50	100	118	100	0	.	0	.	0	.	0	.	13	100	136	59	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	97	100	0	.	35	100	0	.	21	100	0	.	92	100	25	100	0	.	22	100	0	.	41	100	0	.	7	100	11	100	8	100	0	.	17	100	36	71	15	100	0	.	38	71	15	100	0	.	0	.	1635	21
	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	.	103	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	.	119	67	344	70	0	.	0	.	70	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	.	637	44
	other broadleaves	168	65	0	0	4	100	9	100	0	.	4	100	30	63	8	79	121	58	46	53	0	.	47	65	21	71	0	.	3	100	27	100	11	100	0	.	8	86	27	100	0	0	0	.	0	.	12	200	220	93	128	78	18	107	2	100	8	100	0	.	9	100	0	.	0	.	0	.	10	89	2	100	0	.	0	.	0	.	9	100	0	.	76	49	0	.	62	100	4	100	0	0	14	100	11	87	0	.	3	100	65	100	50	73	2	100	0	.	0	.	90	100	1	.	37	66	117	87	0	.	0	.	207	65	12	.	0	.	0	.	6	100	0	.	12	100	1	100	19	100	26	100	0	.	2	100	6	71	4	78	0	.	0	.	6	100	0	.	5	100	0	.	22	50	0	.	3	71	0	.	144	67	15	100	0	0	0	.	11	100	10	100	8	81	0	.	2003	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	1395	33	328	58	427	60	57	107	812	59	1000	60	2520	28	1224	41	3176	26	2930	26	114	.	691	52	887	45	0	.	524	64	1149	50	1152	42	1117	44	301	71	1035	40	1727	32	1129	41	1215	44	1944	29	3593	21	1988	28	916	47	1205	42	405	73	338	75	231	73	245	71	0	.	517	63	1029	51	140	85	517	71	793	59	679	55	521	52	298	71	2229	33	1518	32	1182	40	629	43	429	52	1368	38	373	64	530	62	1159	40	197	71	467	51	227	71	70	.	575	52	134	80	60	.	434	58	769	46	698	50	291	63	835	48	285	.	729	73	735	60	375	79	293	58	366	72	608	62	277	71	1177	38	0	.	308	60	1051	36	167	71	619	51	134	.	504	61	375	71	437	71	0	.	1417	41	776	48	1735	33	454	58	827	45	910	48	722	45	752	46	197	76	382	60	278	71	0	.	71329	5
old timber	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	51	100	0	0	405	72	683	47	1579	40	938	41	5063	21	2793	20	1358	27	1240	30	0	.	164	85	154	100	0	.	292	71	926	45	1328	37	1252	45	3	.	1428	43	3224	27	566	52	3320	26	4430	21	1794	29	951	39	400	64	628	45	1539	35	0	0	82	59	249	79	178	84	756	53	468	62	411	72	1361	36	511	60	407	79	1099	41	1557	40	1237	45	494	58	468	69	17	.	86	100	89	75	1075	38	1190	43	802	44	366	52	482	49	387	57	411	71	846	61	963	39	0	.	0	.	0	.	201	100	0	.	188	79	438	65	475	61	259	81	816	61	637	66	593	46	364	64	0	.	543	43	0	.	0	.	0	.	535	53	89	100	267	82	0	.	164	67	0	.	258	92	1989	27	1025	41	2952	25	247	78	208	71	0	.	441	50	851	47	0	0	84	100	80	69	0	.	66206	5
	fir	0	.	0	.	68	100	891	37	425	53	1277	42	956	41	3853	20	3020	23	1131	29	0	.	111	71	193	85	0	.	119	91	246	80	405	63	176	83	4	.	202	88	56	71	276	59	242	72	646	53	0	.	1833	32	170	72	1686	32	636	48	348	70	565	63	142	82	245	72	641	59	278	72	122	94	536	63	774	42	50	100	260	70	223	90	732	40	70	94	229	48	19	.	106	56	52	100	626	62	302	63	278	60	403	74	108	58	382	71	0	.	0	.	167	100	0	.	0	.	34	100	154	100	132	100	163	99	96	89	0	.	0	.	196	66	455	66	599	67	15	80	0	.	499	52	166	.	0	.	174	.	361	60	112	82	239	66	0	.	147	69	0	.	105	92	1	100	194	92	534	50	0	.	66	100	0	.	653	46	158	64	0	.	0	.	31	100	0	.	31562	7
	pine	0	.	0	.	21	100	74	100	0	.	0	.	229	100	0	.	330	45	13	100	0	.	0	.	0	.	0	.	21	100	28	100	0	.	78	100	0	.	0	.	0	.	160	60	52	100	123	59	140	76	118	69	0	.	0	.	0	.	50	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	41	100	0	.	0	.	0	.	0	.	23	100	50	77	16	.	0	0	47	100	0	.	8	100	0	.	20	100	12	100	125	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	116	100	0	.	0	.	0	.	0	.	0	.	9	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	26	77	0	.	0	.	0	.	0	.	0	.	0	0	84	73	45	100	32	100	56	100	0	.	2147	19
	larch	0	.	0	.	0	.	73	100	0	.	0	.	0	.	0	.	40	100	0	.	0	.	0	.	15	100	0	.	0	.	0	.	0	.	0	.	0	.	50	100	193	45	109	72	41	80	689	34	2471	23	22	100	0	.	0	.	0	.	0	.	0	.	0	.	41	100	0	.	0	.	0	.	0	.	13	100	0	.	72	100	45	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	57	100	0	.	0	.	0	.	163	100	75	77	66	59	189	72	0	.	0	.	134	100	129	59	259	73	0	.	0	.	0	.	112	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2249	26	578	60	601	40	40	100	0	.	0	.	0	.	0	.	0	.	26	100	147	62	0	.	8698	12
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	100	0	.	0	.	81	100	225	53	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	207	62	43	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	574	34
	other conifers	0	.	0	.	0	.	0	.	0	.	9	100	0	.	0	.	152	99	0	.	0	.	0	.	0	.	252	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	74	100	234	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	337	100	7	100	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	0	.	4	100	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1084	47
	beech	474	51	410	52	249	65	1408	36	187	69	254	50	1206	34	1519	31	2448	20	886	33	87	.	202	61	357	57	0	.	186	91	421	60	315	64	602	54	0	.	159	72	318	78	312	43	25	61	146	81	0	.	1575	26	567	52	249	54	627	46	115	58	86	75	40	88	133	62	108	50	56	71	0	.	569	46	234	42	381	74	517	50	352	45	486	61	708	39	780	41	18	.	572	47	212	71	279	47	236	88	522	58	309	45	261	47	457	50	0	.	0	.	0	.	264	70	364	65	0	.	108	92	31	100	165	69	192	96	0	.	58	100	209	71	77	70	135	100	371	65	0	.	342	49	145	.	0	.	83	.	198	57	263	74	338	65	300	73	145	71	97	.	170	91	0	.	0	.	1	100	109	84	153	55	224	81	520	50	185	47	537	59	41	90	121	56	0	.	28567	6
	maple	29	71	27	90	43	100	21	65	8	100	112	54	115	49	85	60	129	41	287	32	0	.	0	.	70	90	0	.	0	.	42	78	21	59	8	100	0	.	13	138	41	80	9	80	0	.	0	.	0	.	162	40	25	76	16	100	75	63	29	71	53	100	0	.	18	82	12	100	51	102	0	.	22	77	9	513	67	69	118	68	127	67	312	47	0	.	58	76	8	.	35	76	12	100	100	60	40	100	25	71	238	68	-17	146	1	291	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	100	3	100	0	.	29	95	21	84	3	100	6	100	0	.	15	71	10	.	0	.	0	.	16	78	0	.	31	95	0	.	0	.	0	.	31	73	0	.	0	.	76	56	22	100	76	88	11	71	78	58	42	70	0	.	0	.	72	100	0	.	3218	11
	ash	66	100	144	79	0	0	73	88	0	.	178	72	11	72	262	74	281	50	51	51	0	.	0	.	0	.	0	.	107	100	165	100	61	100	31	100	9	.	16	91	42	100	2	100	0	.	0	.	0	.	133	59	39	75	11	100	26	100	23	95	0	.	0	.	0	.	0	.	191	70	0	.	4	100	284	74	72	86	45	74	0	.	18	100	78	79	43	100	0	.	55	63	0	.	188	72	0	.	101	77	123	58	252	60	103	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	100	11	100	0	.	13	100	54	70	0	.	0	.	0	.	16	100	0	.	0	.	0	.	4	100	11	100	0	.	0	.	29	100	0	.	70	71	6	100	0	.	5	80	0	.	280	71	30	100	97	66	63	61	0	.	13	100	99	78	0	.	4101	14
	oak	15	100	0	.	0	.	248	55	0	.	0	.	0	.	25	100	228	32	0	.	78	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	135	.	0	.	0	.	64	100	0	.	0	.	0	.	249	54	8	100	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	100	0	.	0	.	0	.	0	.	109	69	0	.	0	.	26	100	57	100	19	100	0	.	0	.	83	63	479	85	128	63	0	.	0	.	0	.	6	100	0	.	13	100	15	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	100	0	.	9	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	41	94	0	.	0	.	33	100	0	.	0	.	0	.	0	.	17	100	40	100	74	75	81	76	0	.	2316	22
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	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	.	134	90	188	89	0	.	0	0	307	64	237	89	130	100	383	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	.	0	.	0	.	1404	33
	other broadleaves	0	0	30	72	17	58	0	.	0	.	63	82	105	66	60	49	136	52	5	71	0	.	0	.	22	100	0	.	0	.	4	100	0	.	1	100	0	.	0	0	4	100	3	100	0	.	48	60	54	91	87	62	3	100	23	73	0	.	0	.	2	100	0	.	0	.	0	.	53	79	0	.	5	100	0	.	10	100	55	70	0	.	25	100	0	.	13	91	0	.	127	67	2	100	66	84	4	100	2	100	86	82	61	70	19	71	5	77	0	0	4	71	9	100	8	100	85	73	20	100	0	.	2	100	0	.	0	.	6	100	0	.	283	100	20	100	8	100	0	.	14	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	122	75	0	.	13	100	6	100	0	.	57	85	2	100	13	100	0	0	0	.	4	100	15	78	12	100	64	91	0	.	1969	19
	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
	total	635	48	611	53	803	50	3473	24	2199	39	2831	33	7686	18	8598	16	8123	15	3613	23	165	.	477	61	811	58	252	.	725	58	1830	39	2131	31	2148	34	151	.	1870	39	3898	25	1500	33	3680	25	6162	19	4707	21	5129	21	1287	38	2848	31	2903	30	564	60	788	60	430	76	615	58	1517	40	1097	46	532	75	2497	34	2231	37	993	58	2166	31	2303	37	2811	31	1482	39	1640	34	79	.	1014	43	471	59	2353	33	1782	36	1791	37	1626	39	1638	37	1604	34	579	58	1055	52	1387	35	468	52	373	64	440	60	869	43	421	61	1160	45	756	53	488	60	439	72	1375	44	1526	45	1351	47	775	52	0	.	1454	36	321	.	0	.	257	.	1114	46	475	59	875	47	300	73	606	46	97	.	689	58	4484	21	1839	36	4260	23	420	73	796	51	265	75	1790	38	1403	41	636	56	282	60	752	44	0	.	151846	3
mixed	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	22	100	-6	100	69	69	0	.	126	.	146	77	4931	18	1079	27	268	82	643	35	10	100	0	.	0	.	0	.	0	.	220	72	268	60	237	57	0	.	942	38	1164	30	1351	32	1048	31	1986	27	1528	28	693	38	336	55	188	83	1293	33	55	100	998	32	121	70	322	50	706	37	147	90	801	45	371	51	199	75	65	100	681	58	240	62	575	42	28	100	2	100	98	100	0	.	32	100	291	65	142	56	68	93	97	69	0	.	13	100	627	50	1708	65	438	59	0	.	45	100	30	100	80	72	48	100	55	100	338	53	181	.	520	47	80	100	343	55	288	67	181	.	0	.	114	62	0	.	0	.	943	32	61	91	225	48	269	57	0	.	0	.	0	.	162	.	1052	32	2000	22	1201	31	80	100	168	.	92	93	0	.	96	71	10	100	0	.	0	.	0	.	36029	6
	fir	36	100	0	.	0	.	0	.	83	.	34	100	1032	34	2066	25	484	50	556	36	15	100	0	.	2	100	0	.	0	.	0	.	119	96	264	64	0	.	2	100	162	60	143	54	12	100	94	71	0	.	873	43	591	44	468	45	534	39	0	0	484	39	319	44	311	58	840	44	7	74	56	74	238	53	184	100	0	.	111	74	432	66	213	52	0	.	36	100	176	94	10	.	48	77	9	100	107	100	40	95	18	100	0	.	18	100	0	.	93	74	0	.	0	.	0	.	0	.	77	100	70	100	0	.	91	94	0	.	93	82	74	71	37	100	285	54	0	.	0	.	224	57	0	.	0	.	120	61	74	54	302	47	138	100	13	.	0	.	0	.	95	.	153	98	277	61	120	70	110	76	0	.	95	100	3	100	57	85	78	100	19	100	0	.	0	.	13926	8
	pine	26	100	0	.	0	.	0	.	0	.	0	.	137	65	37	100	0	.	41	71	0	.	0	.	120	63	0	.	0	.	0	.	0	.	159	100	0	.	0	.	55	100	279	53	0	.	67	47	67	54	113	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	44	100	0	.	176	100	0	.	0	.	0	.	0	.	0	.	0	.	25	100	50	100	0	0	0	.	44	71	57	100	0	.	0	.	53	100	0	.	23	100	0	.	15	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	92	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	100	0	.	0	.	0	.	0	.	0	.	0	.	160	50	232	44	236	53	0	.	0	.	29	100	0	.	31	100	9	100	0	.	0	.	0	.	2349	17
	larch	0	.	0	.	60	100	0	.	0	.	0	.	16	100	0	.	50	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	100	28	71	8	100	731	31	1217	22	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	37	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	86	70	308	52	315	57	8	100	0	.	5	100	279	51	63	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	21	.	0	.	0	.	1395	44	1237	23	461	34	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	0	.	6363	13
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	85	85	634	31	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	245	41	169	46	44	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1190	21
	other conifers	0	.	0	.	0	.	7	.	0	.	0	.	1	100	0	.	23	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	3	100	4	100	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	0	.	0	.	8	100	0	.	0	.	-19	100	0	.	0	.	0	.	11	100	6	100	4	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	81	100	1	100	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	159	56
	beech	26	134	66	64	134	59	1	.	82	.	20	77	213	50	1294	26	89	52	530	37	92	61	0	.	88	65	0	.	22	.	0	.	285	47	51	100	0	.	358	50	190	62	157	76	0	.	34	74	0	.	553	35	481	40	26	73	490	53	59	83	60	43	198	44	66	80	132	55	46	100	18	100	205	47	278	93	124	83	151	58	349	49	411	55	341	58	25	77	62	100	84	.	154	57	0	.	9	100	113	90	170	61	0	.	143	73	0	.	126	77	0	.	123	69	390	47	240	71	348	46	228	60	0	.	182	97	0	.	93	71	127	79	0	.	211	65	154	.	0	.	292	54	0	.	0	.	118	59	29	64	205	56	75	71	34	.	48	.	0	.	40	.	0	.	21	100	479	44	36	100	73	.	29	100	39	73	51	57	32	80	116	98	24	.	0	.	12441	8
	maple	56	74	62	67	0	.	7	.	0	.	0	.	284	37	233	45	52	60	174	61	32	100	0	.	47	100	0	.	0	.	24	100	209	46	40	100	0	.	82	81	73	62	54	72	51	100	43	74	0	.	172	40	94	51	11	73	88	51	5	100	98	44	47	83	131	94	33	51	25	71	9	100	22	59	8	100	113	100	125	68	28	62	39	54	26	100	14	100	44	100	13	.	81	64	0	.	8	100	2	100	0	.	0	.	13	100	0	.	0	.	0	.	0	.	22	100	0	.	0	.	56	96	5	100	0	.	0	.	1	100	12	73	22	100	68	62	0	.	0	.	2	100	0	.	0	.	7	100	24	71	12	112	42	65	0	.	0	.	0	.	0	.	0	.	16	100	173	53	24	100	34	.	39	69	40	92	0	.	0	.	19	89	0	.	0	.	3390	11
	ash	40	90	77	84	0	.	0	.	0	.	0	.	-31	100	88	48	54	65	-4	100	126	88	0	.	10	100	0	.	42	.	0	.	32	61	3	100	0	.	138	70	17	100	5	100	127	72	4	100	0	.	271	41	319	85	38	97	15	71	2	100	16	100	0	.	0	.	6	100	0	.	0	.	85	100	27	100	130	73	21	100	115	94	0	.	9	100	0	.	0	.	0	.	37	100	0	.	0	.	0	.	130	53	0	.	8	100	0	.	0	.	0	.	21	71	15	71	15	77	0	.	25	95	60	56	0	.	0	.	0	.	11	86	0	.	0	.	135	.	5	.	0	.	0	.	0	.	0	.	0	.	0	.	133	71	0	.	0	.	0	.	0	.	0	.	18	100	110	78	0	.	0	.	7	100	28	100	13	100	15	100	32	100	1	.	0	.	2604	17
	oak	54	64	33	100	0	.	9	.	0	.	0	.	0	.	43	100	68	72	0	.	0	.	0	.	43	71	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	85	100	65	100	80	100	99	100	40	100	0	.	0	.	35	100	0	.	0	.	0	.	0	.	0	.	0	.	52	89	0	.	7	100	0	.	28	100	0	.	0	.	0	.	65	86	0	.	0	.	0	.	23	100	0	.	32	80	0	.	0	.	0	.	19	100	87	93	0	.	0	0	45	64	20	77	50	100	0	.	36	100	8	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	100	100	0	.	10	71	25	.	0	.	0	.	0	.	0	.	71	100	0	.	0	.	0	.	14	100	0	.	81	100	45	100	20	100	0	.	0	.	1494	19
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	176	71	18	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	.	32	100	57	79	0	.	54	91	248	49	152	83	129	73	32	74	444	56	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	29	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1371	25
	other broadleaves	73	72	42	95	61	82	64	.	0	.	0	.	231	54	60	47	93	83	49	46	42	82	0	.	0	0	0	.	20	.	0	.	12	100	52	66	0	.	99	63	40	58	30	100	56	63	103	69	0	0	128	51	60	71	3	100	37	57	0	.	15	75	0	.	-2	100	24	60	3	100	4	100	15	100	0	.	47	67	6	64	118	79	23	88	0	.	4	100	2	100	0	.	0	.	4	71	3	71	2	100	103	100	0	.	37	100	9	79	281	69	2	100	128	71	160	55	174	68	49	65	112	58	54	129	22	90	0	.	22	100	1	100	2	100	1	100	0	.	2	.	3	100	0	.	0	.	16	72	9	100	3	72	118	86	0	.	0	.	0	.	0	.	69	64	87	42	107	53	0	.	0	.	107	88	0	0	5	100	2	100	103	76	11	.	0	.	3420	13
	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	334	57	274	54	325	53	88	.	291	.	200	71	6827	16	4902	18	1182	36	1989	26	318	61	0	.	310	55	0	.	84	.	244	73	926	39	807	51	0	.	1622	33	1724	27	2047	27	1302	29	3330	21	3553	19	2872	26	1961	32	834	45	2498	27	121	86	1670	30	727	42	828	47	1784	32	227	87	1065	41	944	41	696	59	567	63	1075	44	1290	41	1261	40	457	58	143	72	389	77	111	.	461	45	360	59	269	62	225	69	595	47	0	.	286	59	753	46	2589	52	754	47	353	46	967	33	615	46	1043	32	681	40	638	46	683	59	181	.	821	45	313	61	404	57	853	54	470	.	7	.	641	46	0	.	0	.	1205	28	309	54	746	43	785	43	71	.	69	.	0	.	297	.	3073	26	4128	18	2958	22	251	73	274	.	413	58	109	69	336	52	204	71	310	68	36	.	0	.	84736	4
total	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	351	37	495	37	866	42	879	39	2564	31	2096	30	14125	11	5563	14	4598	17	2685	18	45	81	292	58	414	51	0	.	775	46	2330	29	2295	26	2264	30	4	75	3152	24	7176	16	3660	21	6306	18	9547	13	5973	15	2239	23	1164	31	1925	24	3567	20	317	62	1495	27	516	46	547	40	1608	31	1573	37	1568	31	2364	28	1201	32	1398	36	2536	26	1942	34	2714	27	1388	28	831	46	294	44	271	54	320	55	1706	29	2182	28	1232	34	977	36	769	35	826	38	1098	39	3265	38	1466	31	0	.	82	71	30	100	368	60	94	65	361	49	905	38	1578	41	1607	32	974	52	1590	32	1174	32	918	39	137	62	1134	32	138	68	253	51	1892	23	805	40	741	42	732	40	135	77	300	47	32	75	425	68	4345	18	4213	18	5913	16	699	43	752	37	694	37	1352	32	1858	29	84	94	439	50	578	38	0	.	161087	3
	fir	249	72	40	96	144	60	965	34	609	41	1551	36	2219	24	6533	14	4844	17	2559	19	32	64	136	60	373	50	0	.	347	63	366	59	946	40	600	44	4	100	501	48	383	40	429	42	291	61	1003	38	0	0	3889	20	1507	31	3202	20	1564	26	522	53	1167	35	555	35	596	42	1751	33	368	56	193	63	1066	38	1019	37	94	64	509	43	768	47	1244	27	184	59	514	34	280	62	140	46	372	37	762	52	690	36	578	38	536	58	335	39	506	58	18	100	208	52	167	100	0	.	0	.	34	100	354	59	276	60	242	73	549	42	0	.	313	55	479	37	556	55	1126	41	202	52	75	100	1037	35	200	84	325	50	380	52	472	47	619	32	458	47	259	69	498	53	140	71	200	68	162	93	521	48	938	34	269	44	140	61	265	53	1027	32	422	34	94	85	19	100	86	58	0	.	63168	4
	pine	26	100	21	71	21	100	74	100	0	.	0	.	367	67	109	60	449	35	400	55	45	85	66	69	186	45	0	.	21	100	45	71	0	.	265	67	67	100	0	.	201	46	576	34	52	100	639	38	1154	28	383	37	18	100	229	58	0	.	50	100	29	100	0	.	0	.	44	100	4	100	176	100	42	100	41	100	0	.	0	.	0	.	53	100	330	39	100	63	97	53	4	71	119	51	57	100	8	100	0	.	85	68	117	77	202	66	0	.	46	74	66	100	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	224	60	0	0	0	.	0	.	0	.	30	71	9	100	0	.	20	100	0	.	23	71	0	.	29	100	0	.	0	.	69	100	0	.	858	31	408	30	624	33	0	.	25	100	236	46	92	60	192	42	153	49	86	73	56	100	0	.	10232	8
	larch	30	94	55	64	106	71	95	81	0	.	0	.	158	64	0	.	90	71	0	.	0	.	0	.	27	71	0	.	0	.	57	100	0	.	40	87	0	.	50	100	348	37	300	41	237	57	1781	20	4950	14	22	100	5	100	22	72	1	100	0	.	0	.	0	.	41	100	0	.	0	.	0	.	18	100	13	100	37	100	123	71	45	100	0	.	36	59	0	.	0	.	20	100	0	.	0	.	0	.	57	100	14	100	29	100	27	100	300	60	524	35	469	42	282	53	0	.	86	75	1237	28	459	40	556	59	0	.	0	.	0	.	237	46	0	.	20	100	0	.	66	100	0	.	22	100	0	.	0	.	0	.	0	.	57	73	0	.	21	100	0	.	68	100	4698	19	2576	20	1275	23	40	100	30	100	9	100	20	89	0	.	23	71	26	100	178	54	0	.	22114	6
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	100	0	.	0	.	225	52	1256	21	0	.	0	.	0	.	0	.	0	.	0	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	617	31	214	39	44	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2393	15
	other conifers	42	75	0	.	71	100	85	72	0	.	14	74	1	100	0	.	522	44	3	71	0	.	0	.	0	.	252	.	0	.	0	.	0	.	0	.	0	.	3	100	7	100	0	.	0	.	6	100	22	47	11	74	75	99	275	86	2	100	0	.	0	.	8	100	0	.	0	.	0	.	0	.	8	100	344	98	12	72	-19	104	7	79	0	.	66	100	11	100	6	100	40	77	0	.	0	.	0	.	4	100	0	.	0	.	5	72	0	.	0	.	0	.	0	.	0	.	0	.	81	100	1	100	0	.	0	.	0	.	7	100	0	.	10	100	0	.	0	.	56	100	27	62	0	.	6	100	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	6	100	4	100	3	64	0	.	0	.	18	71	47	71	9	81	0	.	0	.	0	.	0	.	2163	26
	beech	1223	27	818	30	688	34	1839	30	323	48	494	36	2398	25	3294	18	4287	14	3412	16	309	47	885	34	1123	30	0	.	292	63	749	39	1067	30	1258	35	0	.	935	31	675	44	591	33	25	61	557	39	0	.	3416	17	1433	27	852	37	1355	30	282	42	170	41	294	34	218	45	341	40	486	42	53	60	1313	31	793	39	932	44	1077	30	964	31	1491	30	2159	21	1444	31	794	30	907	34	1285	28	430	35	317	67	1078	35	589	31	351	39	793	34	0	.	182	58	0	.	816	34	1326	30	743	34	1202	32	1025	32	544	43	743	42	0	.	258	49	621	45	132	56	432	47	614	48	71	73	1128	28	166	88	81	49	335	37	355	40	946	32	546	45	592	45	234	50	256	59	210	76	0	.	25	86	861	32	314	43	498	38	515	42	879	33	881	28	746	45	352	42	432	32	0	.	71921	3
	maple	366	30	182	36	53	82	34	74	25	75	266	42	771	21	465	29	399	24	702	23	140	49	117	54	170	49	0	.	60	74	82	51	334	33	91	56	0	.	370	39	162	39	63	63	86	66	119	43	3	100	508	24	198	32	51	51	301	32	100	57	181	39	83	64	158	79	45	46	136	46	35	78	164	67	174	52	241	54	400	35	244	45	687	29	101	53	168	45	174	40	99	39	286	40	172	41	77	59	87	60	314	54	54	81	106	52	34	100	59	100	11	100	5	63	22	100	39	61	9	50	56	96	9	62	153	46	16	85	1	100	184	48	168	41	175	43	37	66	9	78	158	42	10	100	31	63	32	59	79	37	80	55	109	47	38	71	10	100	0	.	71	65	9	100	50	69	317	35	100	50	212	43	64	55	329	29	111	48	243	55	70	60	248	51	0	.	13760	5
	ash	258	45	380	44	32	83	74	87	0	.	254	55	102	90	451	46	645	31	87	49	137	82	34	56	138	59	0	.	166	70	409	67	484	42	284	38	9	100	260	44	60	77	10	61	127	72	104	59	0	.	770	29	419	66	99	51	57	54	70	61	17	94	4	100	3	100	6	100	511	59	0	.	116	76	584	45	270	48	97	52	138	80	258	45	231	46	138	48	56	58	176	51	92	55	323	48	11	72	242	69	279	36	262	58	238	45	18	100	211	100	2	100	24	63	35	64	205	56	123	64	25	95	107	47	161	73	50	72	0	.	181	51	86	53	66	61	320	65	97	84	24	74	0	.	9	77	12	100	32	90	89	78	208	58	70	64	47	73	0	.	70	71	75	54	63	67	205	50	115	60	430	50	48	68	194	40	226	38	173	65	71	59	119	66	0	.	13959	7
	oak	349	55	80	70	0	.	260	53	0	.	0	.	17	74	68	73	542	23	0	.	78	100	4	100	107	57	0	.	9	100	60	100	52	79	109	61	384	58	0	.	0	.	64	100	0	.	0	0	85	100	332	45	88	91	177	66	40	100	53	74	0	.	35	100	0	.	0	.	5	100	0	.	0	.	28	100	52	89	0	.	17	71	0	.	210	47	13	100	11	100	31	86	158	52	19	100	0	.	0	.	108	53	552	74	303	48	0	.	0	.	0	.	47	57	119	69	474	33	85	65	111	49	102	61	50	100	0	.	36	100	14	72	23	100	0	.	108	91	2	100	44	82	129	71	82	56	0	.	403	50	25	100	10	71	231	49	0	.	41	100	41	94	47	65	111	66	73	54	0	.	17	100	50	58	15	100	98	85	176	41	110	55	92	68	0	.	7465	10
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	100	0	.	0	.	468	48	42	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	.	32	100	358	45	294	67	390	47	397	37	1190	31	468	52	254	57	1453	29	0	.	0	.	0	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	31	100	0	.	66	61	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5456	12
	other broadleaves	271	45	174	36	140	44	98	67	0	.	75	69	463	32	213	27	564	27	110	31	97	52	54	57	48	57	0	.	23	87	231	55	61	46	177	49	8	86	155	46	83	45	54	60	371	39	598	33	457	54	393	34	126	45	63	60	103	46	0	.	30	50	7	100	-2	100	24	60	81	55	6	76	38	48	3	100	71	49	131	44	136	70	125	40	39	48	94	69	5	75	224	48	16	87	151	50	19	68	59	88	254	55	140	43	76	55	92	67	441	48	106	85	275	40	471	37	1225	26	239	35	269	40	423	40	66	48	11	100	31	75	53	69	312	91	38	61	40	50	194	84	58	56	3	75	4	75	24	53	116	71	22	57	118	86	46	66	122	75	5	100	13	100	337	33	224	29	345	28	7	63	172	57	161	64	64	51	21	59	42	44	127	63	114	59	0	.	13369	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	0	0	0	0	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	0	0	.	0	0
	total	3166	20	2245	22	2121	26	4404	20	3520	29	4750	24	20632	9	16697	10	16939	10	9958	12	884	34	1589	32	2585	26	252	.	1694	35	4330	23	5236	18	5089	21	475	55	5426	19	9118	14	5748	17	7494	16	15046	10	13943	10	11963	12	5033	19	6895	17	6990	17	1393	33	3088	24	1501	32	1562	34	3819	23	3164	27	2030	30	5129	22	4202	25	3108	28	4855	20	4259	25	6573	19	4744	18	3312	23	1717	28	1913	27	2648	24	3620	24	3304	24	3337	25	3157	24	2610	26	3080	22	1593	31	5295	29	2591	24	1840	22	2452	22	4026	17	4168	18	2569	22	3810	20	2627	28	1655	40	2476	28	2743	27	2883	27	3031	29	2238	34	738	45	3620	21	669	53	809	34	2675	22	2286	27	2523	25	2267	26	1370	33	1238	33	544	60	1098	46	11185	13	8408	14	10664	13	1544	33	2276	28	2060	28	4019	22	3819	21	1733	29	1299	30	1903	26	0	.	387089	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. 2276364. Birmensdorf, Swiss Federal Research Institute WSL

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