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 NFI4/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	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	.	37	73	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	161	43
	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	100	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	.	17	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	.	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	.	54	54
	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	.	19	90	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	.	37	73	8	.	10	.	0	.	0	.	0	.	0	.	0	.	3	.	0	.	0	.	0	.	1766	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	683	36	261	54	66	82	70	100	0	.	0	.	0	.	0	.	0	.	31	100	226	55	19	.	0	.	20	100	418	51	0	0	446	80	719	36	282	61	18	100	3	100	211	73	12	100	0	.	0	.	5	.	21	87	0	.	0	.	30	81	8	100	24	.	0	0	38	74	0	.	25	.	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	.	57	74	0	.	0	.	0	.	0	.	0	.	163	70	61	100	0	.	0	.	0	.	0	.	0	.	10	.	0	.	34	100	44	71	1	100	28	100	38	.	0	.	38	73	0	.	0	.	0	.	0	.	0	.	4359	15
	fir	3	100	0	.	0	.	7	76	0	.	0	0	73	100	105	55	23	63	0	.	3	.	0	.	0	.	0	.	0	.	0	.	3	100	0	.	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	100	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	.	722	23
	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	1	100	0	.	18	100	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	.	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	.	23	73	0	.	0	.	0	.	0	.	0	.	206	39
	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	.	184	60	111	69	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	.	40	94	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	42	87	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	551	32
	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	.	27	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	.	27	100
	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	.	2	100	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	.	27	51
	beech	134	81	0	.	48	.	21	70	0	.	63	75	357	89	27	54	176	65	0	.	0	.	9	.	4	.	0	.	0	.	39	100	0	.	0	.	0	.	0	0	0	.	19	100	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	20	.	15	93	0	.	13	100	1	.	0	.	0	.	14	100	0	.	0	.	0	.	25	.	0	.	0	.	0	.	0	.	17	100	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	100	0	.	0	.	1485	28
	maple	11	76	16	100	0	.	0	.	0	.	11	76	37	79	13	80	0	.	0	.	42	.	0	.	15	.	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	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	310	25
	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	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	.	8	100
	other broadleaves	4	100	18	100	24	.	0	.	0	.	0	.	36	76	37	76	2	100	3	100	0	.	0	.	0	.	0	.	0	.	3	100	0	.	70	.	0	.	0	0	53	79	0	.	0	.	1	100	0	.	11	100	5	100	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	100	0	.	5	53	1	100	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	7	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	364	30
	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
	total	154	72	57	71	72	.	28	56	0	.	133	72	1314	34	443	42	330	61	73	100	46	.	9	.	19	.	0	.	0	.	73	72	278	54	101	.	24	71	46	100	521	44	19	100	461	77	930	38	423	55	98	56	25	100	321	66	198	68	0	.	0	.	52	.	52	95	0	.	0	.	30	81	14	77	52	.	19	100	55	70	14	77	45	.	80	85	0	.	55	72	1	.	0	.	14	.	146	63	67	.	0	.	0	.	117	.	4	77	51	100	0	.	45	87	31	88	0	.	0	.	0	.	0	.	63	72	0	.	6	100	0	.	91	82	0	.	-12	.	0	.	0	.	99	81	213	62	82	100	0	.	0	.	26	100	0	.	0	.	10	.	0	.	34	100	92	53	11	91	78	71	38	.	6	.	186	61	174	72	0	.	16	78	0	.	0	.	8352	11
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	845	34	83	54	570	31	57	78	35	100	39	100	101	93	0	.	68	.	0	.	131	80	334	72	0	.	162	94	205	74	75	85	342	33	797	33	372	50	46	88	218	62	210	63	331	53	84	75	81	100	0	.	18	100	0	.	0	.	86	73	241	70	195	60	200	52	23	94	0	.	29	100	68	76	67	88	0	.	80	71	0	.	31	100	301	54	2	.	166	73	101	72	132	100	38	59	214	56	0	.	0	.	0	.	0	.	9	79	0	.	31	100	66	72	206	90	354	65	27	66	177	73	235	71	198	71	69	100	39	.	37	.	33	71	0	.	0	.	0	.	36	76	31	100	82	100	0	.	5	100	127	52	123	45	355	43	41	73	62	98	241	55	60	66	278	89	78	100	187	71	114	62	0	.	11163	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	103	79	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	119	67	128	71	0	.	0	.	65	100	0	.	18	100	4	100	0	.	0	.	0	.	0	.	34	96	0	.	0	.	13	100	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	.	20	100	53	91	12	100	28	100	20	100	0	.	18	72	16	100	0	.	54	72	0	.	3918	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	.	83	80	20	100	0	.	22	100	236	34	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	.	11	100	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	66	63	35	95	0	.	0	.	47	100	0	.	27	100	44	100	0	.	0	.	0	.	896	20
	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	.	20	91	33	100	0	.	224	55	193	51	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	.	43	82	75	88	0	.	0	.	61	100	396	42	25	100	6	100	0	.	0	.	0	.	73	71	0	.	20	100	0	.	66	100	0	.	0	.	0	.	0	.	0	.	0	.	36	100	0	.	0	.	0	.	68	100	467	41	87	61	84	65	0	.	0	.	9	100	20	89	0	.	0	.	0	.	0	.	0	.	2191	16
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	95	0	.	9	100	30	90	91	59	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	184	38
	other conifers	28	100	0	.	0	.	0	.	0	.	0	.	35	96	0	.	118	73	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	93	0	.	0	.	3	100	18	54	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	.	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	.	266	38
	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	.	23	89	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	.	396	47	0	.	165	68	210	46	2	100	22	100	13	100	0	.	0	.	32	100	5	76	13	100	45	97	45	100	0	.	0	.	34	59	0	.	14	.	48	.	129	71	2	100	33	76	0	.	0	.	0	.	9	71	119	81	6	100	18	100	109	69	11	71	53	77	87	73	51	72	71	58	0	.	4699	11
	maple	62	52	45	79	0	.	12	81	0	.	43	80	136	38	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	.	2	100	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	19	72	34	100	0	.	0	.	24	87	19	100	26	100	0	.	14	295	47	74	18	100	48	.	76	66	36	82	21	61	34	100	42	100	0	.	29	97	0	.	27	78	16	41	0	.	3	100	29	100	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	40	77	135	44	28	96	0	.	-11	100	4	100	0	.	137	85	0	.	82	88	0	.	2143	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	.	25	100	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	36	100	-7	.	12	59	7	100	27	96	18	100	0	.	0	.	9	100	20	100	45	71	95	78	0	.	0	.	0	.	42	84	0	.	11	100	7	61	32	100	29	100	4	100	0	.	0	.	6	100	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	80	65	113	73	23	60	26	100	10	100	0	0	15	100	67	70	19	95	2	73	20	100	0	.	1600	14
	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	.	5	100	0	.	17	100	14	76	74	62	71	76	26	97	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	46	61	0	.	0	.	0	.	0	.	0	.	35	73	1	100	11	100	0	.	666	20
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	92	81	106	100	213	60	0	.	113	75	0	.	47	94	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	.	979	28
	other broadleaves	25	83	25	65	0	.	25	61	0	.	9	100	77	42	25	100	86	54	1	100	55	68	7	61	4	100	0	.	0	.	112	100	29	74	16	54	0	.	5	74	19	100	38	100	330	43	297	49	127	57	9	76	47	71	0	.	59	72	0	.	4	100	7	.	0	.	0	.	10	100	0	.	6	73	3	100	15	89	4	71	0	.	0	.	15	71	1	100	0	.	24	88	2	100	55	85	2	100	52	.	0	.	12	100	16	78	85	72	6	76	16	76	153	45	103	57	456	44	191	41	35	61	75	58	5	100	102	69	3	71	9	100	27	52	56	82	31	60	174	93	0	.	2	.	1	100	0	.	11	.	10	.	0	.	26	100	0	.	0	.	0	.	125	49	303	53	164	36	5	78	0	.	38	100	8	81	13	86	12	71	2	100	30	100	0	.	3937	11
	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
	total	433	40	401	39	363	54	205	57	0	.	266	88	1399	27	463	41	1751	23	224	48	241	47	200	53	331	57	0	.	85	.	143	97	281	57	484	54	0	.	448	64	351	50	200	59	746	28	1590	24	1037	30	682	51	554	44	724	46	708	41	370	50	135	73	47	.	50	70	0	.	187	76	112	70	266	69	320	53	304	52	172	70	0	.	146	100	318	52	249	62	86	69	129	58	149	88	444	49	531	51	95	.	364	48	223	59	344	57	193	47	461	37	197	64	816	32	137	58	941	33	1020	28	135	49	515	40	126	82	362	59	356	64	167	65	305	51	434	51	397	56	438	62	39	.	51	.	289	58	0	.	42	.	67	.	250	66	180	61	132	79	0	.	113	72	968	27	785	32	1041	28	120	71	118	91	467	44	119	59	457	59	428	48	242	63	383	47	0	.	32642	5
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	812	36	463	56	1097	33	27	66	0	.	84	100	26	72	0	.	142	100	598	50	370	70	271	99	0	.	150	71	860	44	923	44	416	57	306	54	392	54	233	86	83	100	556	46	196	65	0	.	229	98	0	.	9	.	0	.	349	65	125	91	488	74	54	.	197	72	517	50	0	.	45	.	274	64	32	.	17	100	0	0	15	90	19	.	129	.	0	.	314	82	50	100	218	74	0	.	148	77	0	.	54	100	0	.	0	.	61	72	45	81	195	64	53	71	129	.	62	86	135	88	77	100	22	.	0	.	0	.	219	65	101	85	0	.	69	.	209	71	244	95	159	77	133	78	20	.	0	.	0	.	345	39	795	57	636	44	160	.	136	87	0	.	584	58	265	66	0	0	0	.	255	61	0	.	17112	9
	fir	0	.	38	100	76	71	24	71	59	.	33	100	21	89	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	.	88	82	308	62	0	.	0	.	167	62	11	100	0	.	0	.	0	.	44	60	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	.	3945	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	100	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	45	74	159	80	0	.	228	40	0	.	0	.	22	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	150	74	0	.	0	.	28	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	29	100	0	.	0	.	54	80	0	.	144	71	0	.	0	.	155	63	131	100	19	100	0	.	0	.	0	.	52	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	449	35	193	55	134	55	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2087	17
	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	.	287	47	0	.	0	.	0	.	0	.	0	.	0	.	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	.	129	77	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	426	39
	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	49	96	179	64	478	37	875	35	0	.	74	74	187	69	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	117	84	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	.	8271	11
	maple	0	.	32	72	9	71	0	.	17	.	84	100	76	78	96	63	114	50	0	0	0	.	10	100	48	88	0	.	20	100	0	.	61	74	26	100	0	.	149	78	28	100	0	.	20	100	54	71	3	100	-13	420	4	100	18	100	68	100	0	.	15	100	0	.	8	.	0	.	31	71	0	.	177	72	-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	6	100	36	100	0	.	63	70	1	.	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	.	2472	14
	ash	0	.	0	.	6	100	0	.	0	.	34	100	0	.	48	68	50	75	0	.	0	.	0	.	49	76	0	.	0	.	0	.	133	67	39	100	0	.	54	78	0	.	3	100	30	100	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	36	82	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	.	2125	20
	oak	129	100	0	.	0	.	0	.	0	.	0	.	17	74	0	.	87	61	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	.	1199	23
	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	.	131	59	0	.	123	100	45	71	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	.	1134	25
	other broadleaves	0	.	60	62	34	70	0	.	0	.	0	.	17	75	23	77	146	52	6	100	0	.	0	.	10	100	0	.	0	.	52	79	29	74	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	.	110	56	6	100	22	82	250	59	408	48	255	68	133	65	136	51	27	80	0	.	0	.	36	95	0	0	6	.	0	.	0	.	105	86	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	.	2938	14
	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	992	32	1086	40	2347	26	1129	33	0	.	211	80	391	58	0	.	276	72	856	42	927	44	431	70	0	.	408	52	1153	40	1053	42	659	43	1271	34	1100	33	1177	39	379	73	964	41	275	54	0	.	263	87	0	.	17	.	0	.	698	57	151	79	1065	44	110	.	624	60	982	41	354	85	58	.	889	38	99	.	369	58	228	56	180	76	89	.	129	.	0	.	374	73	167	74	478	50	0	.	714	42	80	93	386	52	631	45	1276	31	1087	38	1144	34	862	34	741	50	131	.	150	74	631	42	231	75	54	.	0	.	0	.	502	53	146	78	0	.	80	.	654	43	616	56	198	72	346	59	57	.	0	.	0	.	1517	28	1146	42	1121	34	222	.	235	71	0	.	1093	41	698	45	265	72	71	.	454	60	0	.	43925	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	762	59	410	68	150	82	1	100	567	44	1401	37	873	45	1186	45	1650	32	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	789	50	501	41	262	74	161	51	105	100	184	86	278	77	381	66	353	60	33	100	51	78	0	.	66	75	389	63	7	100	0	.	37	100	0	.	78	100	0	.	22	100	0	.	724	73	437	78	157	81	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	1136	40	299	71	143	61	361	55	230	64	367	54	-4	100	169	93	128	100	0	.	29940	7
	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	344	44	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	.	9142	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	181	63	28	100	161	50	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	.	94	71	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	46	70	0	.	30	100	0	.	0	.	0	.	10	100	0	.	30	100	0	.	3233	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	.	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	.	19	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	240	45
	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	588	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	.	16529	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	.	102	46	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	334	39	0	.	71	79	48	56	23	71	148	65	11	80	13	100	12	100	0	.	33	59	0	.	1	100	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	36	77	75	62	25	71	68	54	38	86	0	.	16	100	0	.	0	.	2607	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	.	47	95	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	.	3671	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	12	100	17	100	36	71	15	100	0	.	38	71	15	100	0	.	0	.	1647	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	3	100	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	17	100	0	.	90	100	1	.	37	66	117	87	0	.	46	100	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	.	2069	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	1356	45	1152	42	1117	44	301	71	1176	36	1727	32	1213	39	1215	44	2351	26	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	2316	32	1518	32	1182	40	629	43	429	52	1368	38	373	64	530	62	1159	40	197	71	467	51	227	71	178	72	575	52	134	80	60	.	434	58	769	46	698	50	337	56	835	48	285	.	729	73	735	60	499	64	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	1834	32	632	50	827	45	910	48	722	45	752	46	197	76	382	60	278	71	0	.	72809	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	709	45	1810	37	938	41	5414	20	2793	20	1358	27	1240	30	0	.	164	85	154	100	0	.	292	71	926	45	1328	37	1252	45	3	100	1428	43	3392	26	622	48	3320	26	4602	20	1794	29	951	39	400	64	628	45	1710	33	0	0	82	59	249	79	178	84	756	53	569	54	411	72	1361	36	511	60	710	62	1099	41	1557	40	1350	42	494	58	468	69	17	.	86	100	89	75	1075	38	1316	40	802	44	366	52	482	49	387	57	412	70	846	61	963	39	0	.	0	.	0	.	201	100	0	.	188	79	438	65	508	57	259	81	816	61	843	53	593	46	364	64	0	.	543	43	0	.	0	.	0	.	535	53	130	75	267	82	0	.	164	67	0	.	258	92	1989	27	1025	41	3086	24	432	62	208	71	0	.	441	50	851	47	0	0	84	100	80	69	0	.	68624	5
	fir	0	.	0	.	68	100	891	37	425	53	1277	42	999	40	3853	20	3020	23	1131	29	0	.	111	71	200	82	0	.	119	91	246	80	405	63	176	83	4	100	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	917	35	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	26	100	0	.	196	66	455	66	599	67	15	80	0	.	499	52	166	100	0	.	174	.	361	60	112	82	239	66	0	.	147	69	0	.	105	92	1	100	194	92	534	50	129	100	66	100	0	.	653	46	158	64	0	.	0	.	31	100	0	.	31953	6
	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	.	40	100	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	.	2187	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	242	64	41	80	818	32	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	.	288	71	75	77	66	59	214	64	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	.	2602	25	578	60	601	40	40	100	0	.	0	.	0	.	0	.	0	.	26	100	147	62	0	.	9464	11
	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	1444	35	187	69	254	50	1619	36	1519	31	2448	20	994	31	87	.	202	61	520	47	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	763	47	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	32	100	58	100	209	71	77	70	135	100	371	65	0	.	342	49	145	100	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	.	29595	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	3	100	13	138	41	80	9	80	0	.	0	.	0	.	162	40	25	76	16	100	75	63	29	71	87	72	0	.	18	82	12	100	51	102	0	.	22	77	9	513	67	69	118	68	127	67	319	46	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	47	94	0	.	29	95	59	71	3	100	6	100	0	.	15	71	10	100	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	.	3344	11
	ash	66	100	144	79	0	0	73	88	0	.	178	72	11	72	262	74	281	50	53	49	0	.	0	.	0	.	0	.	107	100	165	100	61	100	31	100	9	100	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	.	123	62	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	112	62	0	.	0	.	0	.	16	100	1	100	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	.	4267	13
	oak	15	100	0	.	0	.	379	50	0	.	0	.	0	.	25	100	228	32	0	.	78	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	135	100	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	.	2448	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	6	100	0	0	4	100	92	97	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	.	45	65	0	.	13	91	0	.	127	67	2	100	66	84	31	87	2	100	86	82	61	70	132	86	5	77	0	0	4	71	9	100	8	100	85	73	20	100	0	.	2	100	0	.	41	100	6	100	0	.	283	100	20	100	8	100	0	.	14	100	175	100	0	.	0	.	0	.	0	.	0	.	0	.	122	75	0	.	13	100	11	71	0	.	63	78	2	100	13	100	0	0	0	.	4	100	15	78	12	100	64	91	0	.	2449	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0
	total	635	48	611	53	803	50	3666	23	2430	36	2831	33	8492	18	8598	16	8123	15	3723	22	165	.	477	61	981	50	252	.	725	58	1830	39	2131	31	2148	34	160	94	1870	39	4066	24	1778	32	3680	25	6463	18	4707	21	5129	21	1287	38	2848	31	3074	29	564	60	821	58	430	76	615	58	1517	40	1198	43	532	75	2497	34	2231	37	1296	50	2166	31	2303	37	3517	28	1482	39	1640	34	79	.	1014	43	471	59	2353	33	1934	34	1791	37	1626	39	1638	37	1718	33	706	50	1055	52	1387	35	494	50	373	64	440	60	869	43	421	61	1160	45	756	53	706	52	439	72	1375	44	1828	40	1351	47	775	52	0	.	1454	36	497	74	0	.	257	.	1114	46	516	54	875	47	300	73	606	46	97	.	689	58	4842	20	1839	36	4399	22	734	60	796	51	265	75	1790	38	1403	41	636	56	282	60	752	44	0	.	157392	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	6176	16	1079	27	268	82	715	33	10	100	0	.	0	.	0	.	0	.	374	59	268	60	237	57	0	.	1025	35	1468	27	1423	30	1605	30	2330	23	1546	28	693	38	336	55	188	83	1430	31	55	100	998	32	121	70	322	50	706	37	147	90	856	42	453	45	199	75	65	100	728	54	240	62	828	39	28	100	2	100	98	100	0	.	70	71	410	52	179	49	161	57	97	69	0	.	13	100	627	50	1730	64	442	59	0	.	45	100	30	100	105	58	48	100	176	66	338	53	181	.	536	46	80	100	389	50	437	56	181	.	0	.	114	62	0	.	0	.	1045	30	110	67	225	48	269	57	0	.	0	.	0	.	162	.	1100	31	2079	22	1300	29	80	100	168	.	92	93	30	100	96	71	10	100	0	.	0	.	0	.	40530	6
	fir	36	100	0	.	0	.	0	.	83	.	34	100	1032	34	2066	25	484	50	731	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	.	126	66	432	66	260	46	0	.	36	100	176	94	10	.	58	66	118	79	108	99	40	95	18	100	0	.	18	100	0	.	93	74	0	.	0	.	0	.	0	.	97	82	70	100	1	100	91	94	0	.	93	82	74	71	37	100	289	53	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	.	14307	8
	pine	26	100	0	.	0	.	0	.	0	.	0	.	163	56	37	100	0	.	41	71	0	.	0	.	120	63	0	.	0	.	0	.	0	.	159	100	0	.	0	.	55	100	279	53	0	.	67	47	74	50	113	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	44	100	0	.	176	100	0	.	0	.	0	.	58	60	0	.	0	.	25	100	50	100	0	0	0	.	44	71	59	97	0	.	0	.	53	100	0	.	23	100	0	.	15	100	22	100	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	239	43	236	53	0	.	0	.	29	100	0	.	31	100	9	100	0	.	0	.	0	.	2472	16
	larch	0	.	0	.	60	100	0	.	0	.	0	.	39	72	0	.	50	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	37	73	28	71	53	86	1082	25	1584	19	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	37	100	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	103	61	328	50	426	49	8	100	0	.	5	100	593	35	81	59	31	75	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	21	.	0	.	0	.	1626	38	1319	22	475	33	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	0	.	8002	11
	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	.	93	79	669	29	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	245	41	289	40	76	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1385	19
	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	.	1	100	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	583	35	92	61	0	.	88	65	0	.	22	.	0	.	285	47	51	100	0	.	358	50	190	62	157	76	0	.	145	78	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	275	52	349	49	411	55	341	58	25	77	62	100	84	.	238	51	98	71	9	100	113	90	170	61	0	.	143	73	0	.	126	77	0	.	131	65	390	47	240	71	348	46	261	54	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	508	42	36	100	73	.	29	100	45	64	51	57	32	80	116	98	24	.	0	.	12987	8
	maple	56	74	62	67	0	.	7	.	0	.	0	.	389	34	233	45	52	60	183	58	32	100	0	.	47	100	0	.	0	.	24	100	209	46	40	100	0	.	98	70	73	62	142	68	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	66	52	26	100	14	100	44	100	13	.	105	55	12	100	21	73	2	100	0	.	0	.	13	100	0	.	0	.	0	.	0	.	22	100	0	.	0	.	56	96	27	85	0	.	0	.	1	100	12	73	22	100	68	62	0	.	0	.	2	100	0	.	0	.	13	71	24	71	12	112	42	65	0	.	0	.	0	.	0	.	0	.	16	100	184	50	24	100	34	.	39	69	63	69	0	.	0	.	19	89	0	.	0	.	3747	10
	ash	40	90	77	84	0	.	0	.	0	.	0	.	44	183	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	29	77	115	94	0	.	9	100	0	.	0	.	0	.	37	100	11	100	0	.	0	.	130	53	0	.	8	100	0	.	0	.	47	100	34	58	15	71	15	77	0	.	25	95	65	53	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	35	82	13	100	15	100	32	100	1	.	0	.	2770	17
	oak	54	64	33	100	0	.	9	.	0	.	0	.	15	100	43	100	68	72	0	.	0	.	0	.	43	71	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	36	100	85	100	65	100	80	100	99	100	40	100	0	.	0	.	35	100	0	.	0	.	0	.	0	.	0	.	0	.	52	89	2	100	7	100	0	.	28	100	0	.	0	.	0	.	65	86	0	.	0	.	0	.	23	100	0	.	32	80	0	.	0	.	0	.	27	77	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	.	75	95	21	71	0	.	0	.	14	100	26	100	81	100	45	100	20	100	0	.	0	.	1607	18
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	97	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1438	24
	other broadleaves	73	72	42	95	61	82	64	.	0	.	0	.	269	48	60	47	93	83	49	46	42	82	0	.	0	0	0	.	20	.	0	0	12	100	52	66	0	.	99	63	40	58	30	100	56	63	119	61	0	0	128	51	60	71	3	100	40	52	0	.	15	75	0	.	-2	100	24	60	3	100	4	100	22	75	0	.	47	67	20	74	118	79	36	67	0	.	4	100	2	100	0	.	0	.	8	63	18	86	42	96	103	100	0	.	37	100	9	79	281	69	13	88	134	68	160	55	174	68	51	62	112	58	144	75	22	90	0	.	22	100	1	100	2	100	1	100	0	.	2	.	3	100	0	.	0	.	16	72	9	100	28	90	118	86	0	.	0	.	0	.	0	.	80	56	87	42	134	44	0	.	0	.	107	88	10	100	5	100	2	100	103	76	11	.	0	.	3757	12
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	0	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	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	8354	15	4902	18	1182	36	2297	25	318	61	0	.	310	55	0	.	84	.	398	59	926	39	807	51	0	.	1721	31	2041	25	2208	26	1903	28	4196	18	3981	18	2872	26	1961	32	834	45	2638	26	121	86	1670	30	727	42	828	47	1784	32	227	87	1120	39	1033	38	696	59	567	63	1345	38	1290	41	1601	37	457	58	143	72	389	77	111	.	617	42	715	46	336	53	358	52	595	47	0	.	286	59	770	45	2631	51	950	40	388	42	967	33	615	46	1404	27	732	38	908	37	683	59	181	.	837	44	313	61	450	52	1006	48	470	.	7	.	641	46	0	.	0	.	1314	27	359	49	771	41	785	43	71	.	69	.	0	.	297	.	3364	24	4421	18	3261	20	251	73	274	.	413	58	212	60	336	52	204	71	310	68	36	.	0	.	93163	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	904	38	2795	30	2096	30	15880	10	5565	14	4598	17	2758	17	45	81	292	58	431	49	0	.	775	46	2690	26	2733	24	2264	30	4	75	3353	23	7863	15	3916	20	7396	16	10601	12	6245	14	2239	23	1222	30	1925	24	3876	20	317	62	1495	27	516	46	547	40	1608	31	1721	34	1623	30	2551	26	1201	32	1768	34	2602	26	1942	34	3134	24	1388	28	831	46	294	44	271	54	359	50	1825	28	2371	26	1324	32	977	36	769	35	826	38	1146	37	3326	38	1470	31	54	100	82	71	30	100	454	50	94	65	612	37	932	37	1748	38	1647	32	1215	44	1862	29	1451	29	918	39	137	62	1222	31	138	68	253	51	1994	22	855	38	782	40	732	40	166	65	300	47	32	75	425	68	4513	18	4332	18	6513	15	1039	37	754	37	694	37	1382	31	1858	29	84	94	439	50	578	38	0	.	172699	2
	fir	249	72	40	96	144	60	965	34	609	41	1551	36	2280	24	6560	14	4844	17	2733	19	32	64	136	60	380	49	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	1532	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	524	42	768	47	1521	24	184	59	514	34	280	62	140	46	381	36	879	46	692	36	578	38	536	58	335	39	506	58	18	100	208	52	167	100	0	.	0	.	34	100	407	53	276	60	251	70	549	42	26	100	313	55	479	37	556	55	1130	40	202	52	75	100	1054	34	200	84	325	50	380	52	472	47	619	32	458	47	259	69	498	53	140	71	200	68	162	93	541	46	938	34	398	44	140	61	265	53	1027	32	422	34	94	85	19	100	86	58	0	.	64140	4
	pine	26	100	21	71	21	100	74	100	0	.	0	.	393	63	109	60	449	35	400	55	45	85	66	69	186	45	0	.	21	100	45	71	0	.	265	67	67	100	0	.	264	42	576	34	52	100	639	38	1199	27	383	37	18	100	229	58	0	.	50	100	29	100	0	.	0	.	44	100	4	100	176	100	42	100	41	100	0	.	58	60	0	.	53	100	330	39	100	63	97	53	4	71	119	51	69	83	8	100	0	.	85	68	117	77	202	66	0	.	46	74	89	79	0	.	4	100	0	.	0	.	0	.	12	100	0	.	40	100	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	436	29	624	33	0	.	25	100	236	46	92	60	192	42	153	49	86	73	56	100	0	.	10531	8
	larch	30	94	55	64	106	71	95	81	0	.	0	.	181	57	0	.	90	71	0	.	0	.	0	.	27	71	0	.	0	.	57	100	0	.	40	87	0	.	50	100	381	34	529	37	281	50	2520	17	5460	13	22	100	5	100	22	72	1	100	0	.	0	.	0	.	41	100	0	.	0	.	0	.	18	100	13	100	37	100	224	59	45	100	0	.	36	59	0	.	0	.	20	100	0	.	0	.	0	.	57	100	14	100	29	100	27	100	486	46	545	34	591	38	430	41	0	.	86	75	1655	23	501	37	594	56	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	5467	17	2662	20	1341	22	40	100	30	100	9	100	20	89	0	.	23	71	26	100	178	54	0	.	25688	6
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	34	69	0	.	9	100	262	46	1463	20	0	.	0	.	0	.	0	.	0	.	0	.	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	.	618	31	334	36	95	61	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2836	13
	other conifers	42	75	0	.	71	100	85	72	0	.	14	74	36	93	0	.	522	44	3	71	0	.	0	.	0	.	252	.	0	.	0	.	0	.	0	.	0	.	3	100	8	93	0	.	0	.	8	75	25	43	11	74	75	99	275	86	2	100	0	.	0	.	8	100	0	.	0	.	0	.	1	100	8	100	344	98	12	72	-19	104	7	79	0	.	66	100	11	100	6	100	40	77	0	.	5	100	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	.	2211	25
	beech	1223	27	818	30	688	34	1875	30	323	48	494	36	2859	25	3294	18	4287	14	3573	16	309	47	885	34	1331	27	0	.	292	63	749	39	1067	30	1258	35	0	.	935	31	675	44	611	32	25	61	668	37	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	1201	28	964	31	1791	27	2159	21	1444	31	794	30	907	34	1369	27	529	31	317	67	1078	35	589	31	351	39	793	34	0	.	182	58	0	.	856	32	1326	30	743	34	1259	30	1058	31	548	43	743	42	32	100	258	49	621	45	132	56	445	45	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	.	30	74	890	31	314	43	498	38	515	42	886	33	881	28	746	45	352	42	432	32	0	.	73741	3
	maple	366	30	182	36	53	82	34	74	25	75	266	42	881	20	465	29	399	24	711	23	140	49	117	54	227	42	0	.	60	74	82	51	334	33	91	56	3	100	431	34	162	39	151	64	88	65	119	43	3	100	508	24	198	32	51	51	301	32	100	57	214	36	83	64	158	79	45	46	153	42	35	78	234	56	174	52	253	51	400	35	244	45	731	27	101	53	168	45	174	40	99	39	289	41	184	39	109	47	87	60	314	54	54	81	106	52	36	96	101	72	11	100	33	85	22	100	39	61	22	42	92	70	32	73	153	46	62	75	1	100	184	48	206	38	175	43	37	66	9	78	158	42	10	100	31	63	38	52	79	37	80	55	109	47	38	71	10	100	0	.	71	65	9	100	56	62	410	29	110	46	212	43	64	55	351	28	111	48	243	55	70	60	248	51	0	.	14678	5
	ash	258	45	380	44	32	83	74	87	0	.	254	55	177	67	451	46	645	31	89	48	137	82	34	56	172	51	0	.	166	70	409	67	484	42	284	38	9	100	262	44	60	77	10	61	182	54	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	105	48	138	80	363	38	231	46	138	48	56	58	176	51	92	55	333	46	46	79	242	69	279	36	262	58	238	45	18	100	211	100	49	96	46	48	35	64	205	56	130	61	25	95	111	45	161	73	57	64	0	.	181	51	144	51	66	61	320	65	97	84	24	74	1	100	9	77	12	100	32	90	89	78	208	58	70	64	47	73	0	.	70	71	113	49	136	62	213	49	115	60	440	49	48	68	201	39	226	38	173	65	71	59	119	66	0	.	14573	7
	oak	349	55	80	70	0	.	391	48	0	.	0	.	33	61	68	73	565	23	0	.	78	100	4	100	107	57	0	.	9	100	60	100	52	79	109	61	384	58	0	.	0	.	64	100	0	.	36	100	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	2	100	17	71	0	.	210	47	13	100	11	100	31	86	158	52	19	100	0	.	0	.	108	53	552	74	303	48	0	.	5	100	0	.	54	51	124	67	474	33	85	65	137	44	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	115	64	113	41	12	100	17	100	50	58	42	73	98	85	176	41	110	55	92	68	0	.	7799	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	415	40	294	67	390	47	419	35	1190	31	468	52	257	56	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	.	134	59	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5605	12
	other broadleaves	271	45	174	36	140	44	98	67	0	.	75	69	534	29	213	27	583	26	110	31	97	52	54	57	57	50	0	.	23	87	231	55	81	42	177	49	14	65	155	46	144	40	184	55	421	35	622	31	515	49	393	34	132	43	63	60	107	45	0	.	30	50	7	100	-2	100	24	60	91	51	6	76	45	43	3	100	71	49	145	41	136	70	157	34	39	48	94	69	5	75	224	48	18	77	155	48	63	54	99	66	254	55	140	43	189	64	116	55	448	47	128	71	325	36	560	33	1240	26	518	37	327	36	565	34	66	48	143	57	37	65	53	69	312	91	95	55	40	50	194	84	147	64	178	98	4	75	24	53	116	71	47	60	118	86	46	66	122	75	5	100	13	100	354	31	421	39	401	25	7	63	172	57	161	64	74	46	21	59	42	44	131	61	114	59	0	.	15548	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	4596	20	3751	28	4750	24	23266	9	16726	10	16981	10	10376	12	884	34	1589	32	2918	24	252	.	1694	35	4690	22	5695	17	5089	21	485	54	5689	18	9978	13	6471	16	8744	15	17049	9	15037	10	11963	12	5122	19	6895	17	7302	16	1393	33	3121	24	1501	32	1562	34	3819	23	3339	26	2086	29	5392	21	4202	25	3489	26	5242	19	4259	25	7750	17	4744	18	3312	23	1717	28	1913	27	2785	24	3999	22	3607	23	3470	24	3157	24	2610	26	3194	22	1851	28	5487	28	2807	23	2189	20	2572	21	4041	17	5078	15	2768	20	4280	19	2654	28	2108	34	2522	28	2985	26	3250	25	3382	26	2238	34	738	45	3813	21	845	47	809	34	2784	21	2336	27	2589	24	2267	26	1401	32	1238	33	544	60	1098	46	12179	12	9068	13	11676	12	2036	30	2287	28	2060	28	4122	22	3819	21	1733	29	1304	30	1903	26	0	.	410050	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. 2276352. Birmensdorf, Swiss Federal Research Institute WSL

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