Selection from the list of topics

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

1. What do the numbers stand for?

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

Example 1: Estimated value and standard error

NFI5

volume of deadwood (stemwood)
ownership (2 categories)

regional demarcation: production region

unit: m³/ha

evaluation area: accessible forest without shrub forest

grid: 1.4 km grid, subgrids 1-5

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

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

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2. What is the purpose of the standard error?

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

The statistical certainty is:

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

Example 2: Calculating confidence intervals

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

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

Procedure

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

Answer

			Step 1	Step 2

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

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

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

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

Data: see example 2

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

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

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3. When are two results statistically different?*

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

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

Example 4: Interpretation of two results from the same inventory

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

	case 2						case 1

case 1

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

Procedure

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

Answer

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

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

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

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

Case 2

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

Procedure

See case 1.

Answer

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

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

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

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

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

Example 5: Interpretation of two results from different inventories

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

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

Procedure

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

Answer

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

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

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

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

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

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

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

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

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

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

Procedure

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

Answer

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

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

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

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

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

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

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

Procedure

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

Answer

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

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

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

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

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

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

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

Example 8: Standard error and combination of variable expressions

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

The standard error increases as the level of detail increases.

Large standard errors are to be expected if:

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

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

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

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5. Two types of changes?

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

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

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

The results are:

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

Example 9: : Additivity/non-additivity of changes

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

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

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

Example 10: Average number of years per domain

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

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

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

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

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

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

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

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

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

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

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NFI1
growing stock (stemwood)
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 1983/85
		forest district (2024)
		AG01		AG02		AG03		AG04		AI01		AR01		BE01		BE02		BE03		BE04		BSBL01		BSBL02		BSBL03		BSBL04		FR01		FR02		FR03		FR04		GE01		GL01		GR01		GR02		GR03		GR04		GR05		JU01		LU01		LU02		LU03		NE01		NE02		NE03		NE04		NE06		NW01		OW01		OW02		SG01		SG02		SG03		SG04		SG05		SH01		SO01		SO02		SO03		SO04		SZ01		SZ02		SZ03		TG01		TG02		TG03		TI01		TI02		TI03		TI04		TI05		TI06		TI07		TI08		TI09		UR01		UR02		UR03		VD02		VD03		VD04		VD05		VD06		VD07		VD08		VD09		VD11		VD12		VD14		VD15		VD16		VD18		VD20		VD22		VS01		VS02		VS03		ZG01		ZH01		ZH02		ZH03		ZH04		ZH05		ZH06		ZH07		lakes		Switzerland
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	53	100	0	.	12	.	259	78	14	.	0	.	395	41	98	49	18	100	61	60	0	.	0	.	0	.	0	.	0	.	110	64	376	46	0	.	0	.	75	100	0	.	93	71	72	.	63	100	127	82	0	.	0	.	36	100	47	.	0	.	0	.	0	.	31	100	67	74	0	.	103	97	27	100	0	.	184	.	34	.	0	.	12	.	170	75	0	.	16	.	0	.	0	.	0	.	0	.	0	.	342	77	0	.	18	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	33	100	0	.	0	.	0	.	24	.	75	.	0	.	0	.	0	.	0	.	0	.	23	.	0	.	0	.	0	.	56	.	0	.	0	.	116	.	51	95	66	.	132	82	0	.	322	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3812	16
	fir	0	.	0	.	0	.	71	100	0	.	0	.	57	72	377	58	40	100	0	.	0	.	0	.	0	.	0	.	0	.	9	100	326	82	0	.	0	.	22	100	0	.	17	100	0	.	0	.	0	.	0	.	5	100	40	100	3	.	0	.	0	.	0	.	0	.	143	75	0	.	45	100	0	100	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	21	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	27	.	17	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	.	0	.	1	.	0	.	0	.	0	.	100	75	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1340	29
	pine	25	100	38	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	.	75	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	.	0	.	0	.	0	.	0	.	0	.	15	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	.	59	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	227	47
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	123	66	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	.	0	.	0	.	0	.	0	.	19	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	99	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	280	47
	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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
	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	51	100	11	100	7	.	0	.	0	.	0	.	71	60	25	71	0	.	57	76	38	76	88	83	0	.	0	.	0	.	0	.	59	87	0	.	0	.	38	100	0	.	15	67	0	.	0	.	0	.	0	.	0	.	92	74	3	.	107	.	0	.	0	.	0	.	13	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	85	.	39	77	0	.	31	.	0	.	0	.	0	.	0	.	0	.	8	100	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	.	3	.	16	.	15	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	.	0	.	0	.	73	.	0	.	0	.	996	22
	maple	0	.	0	.	0	.	0	.	0	.	0	.	19	72	11	100	0	.	-6	100	13	100	49	100	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	.	0	.	0	.	0	.	0	.	11	100	0	.	7	100	6	100	0	.	42	.	0	.	0	.	17	.	7	72	0	.	5	.	0	.	0	.	11	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	-2	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	14	.	0	.	0	.	210	35
	ash	0	.	14	100	29	.	0	.	0	.	0	.	23	100	6	100	0	.	9	100	57	100	12	100	0	.	0	.	0	.	0	.	9	100	0	.	0	.	93	100	0	.	0	.	0	.	0	.	0	.	4	100	73	100	0	.	0	.	96	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	.	19	100	3	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	27	.	0	.	0	.	501	34
	oak	7	100	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	.	14	100	11	100	0	.	40	.	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	.	26	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	137	42
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	43	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	43	71
	other broadleaves	41	100	0	.	0	.	0	.	0	.	0	.	1	100	16	72	8	100	2	100	79	88	43	100	0	.	0	.	0	.	0	.	8	82	0	.	0	.	37	100	0	.	0	.	0	.	3	100	5	71	11	100	8	100	3	100	3	.	20	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	34	.	0	.	2	100	9	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	.	0	.	0	.	0	.	0	.	0	.	0	.	14	100	0	.	13	84	0	.	0	.	0	.	0	.	0	.	0	.	13	.	0	.	0	.	384	29
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	176	72	63	80	48	.	331	71	14	.	0	.	566	36	532	52	66	89	123	56	188	71	200	72	0	.	0	.	0	.	122	63	778	51	0	.	0	.	265	73	0	.	125	65	72	.	67	95	272	56	15	100	99	96	256	71	57	.	263	.	0	.	0	.	31	100	235	74	0	.	155	93	34	100	0	.	272	.	34	.	2	100	129	.	262	76	0	.	69	.	0	.	0	.	11	100	0	.	0	.	386	73	0	.	52	.	0	.	0	.	9	.	0	.	0	.	26	.	7	.	19	100	0	.	33	100	0	.	0	.	0	.	52	.	92	.	0	.	0	.	0	.	0	.	0	.	23	.	26	.	0	.	0	.	67	.	16	.	75	.	124	.	183	71	68	.	295	63	0	.	322	79	0	.	18	.	0	.	0	.	127	.	0	.	0	.	7950	13
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	55	100	12	91	0	.	0	.	0	.	7	100	749	37	21	86	22	79	0	.	0	.	0	.	0	.	0	.	1	.	52	75	13	100	13	100	0	.	1	100	171	61	0	.	159	71	294	69	18	93	0	.	49	93	31	74	90	74	15	.	41	100	0	.	0	.	0	.	3	.	0	.	0	.	12	100	0	.	124	95	84	.	1	.	0	.	39	100	0	.	0	.	0	.	64	100	116	71	0	.	0	.	0	.	45	81	10	100	45	82	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	82	95	0	.	44	98	0	.	0	.	6	100	5	84	0	.	0	.	0	.	0	.	0	.	0	.	0	.	82	.	0	.	0	.	55	97	-1	1648	104	73	74	100	0	.	0	.	13	100	0	.	26	100	0	.	44	98	0	.	2889	16
	fir	0	.	0	.	5	100	0	.	0	.	0	.	75	100	77	76	132	71	3	100	0	.	0	.	0	.	0	.	0	.	0	.	-4	100	0	.	0	.	0	.	49	71	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	43	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	100	0	.	26	.	0	.	21	100	0	.	0	.	0	.	0	.	15	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	0	.	26	100	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	100	0	.	2	100	0	.	0	.	0	.	0	.	3	100	0	.	0	.	0	.	512	30
	pine	25	90	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	17	100	0	.	38	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	.	1	100	0	.	0	.	39	.	0	.	0	.	37	100	0	.	0	.	0	.	195	36
	larch	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	100	0	.	106	82	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	5	72	0	.	17	100	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	95	57	47	82	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	100	0	.	309	37
	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	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	59
	beech	0	.	42	100	14	100	0	.	0	.	0	.	19	100	0	.	93	52	62	100	0	.	74	100	0	.	0	.	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	-2	207	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	.	2	.	0	.	0	.	0	.	0	.	0	.	12	100	1	100	0	.	0	.	0	.	0	.	0	.	12	100	0	.	5	87	0	.	0	.	1	100	0	.	0	.	7	.	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	.	1	100	4	100	0	.	39	98	0	.	428	30
	maple	44	100	0	.	0	.	0	.	0	.	0	.	2	100	9	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	100	28	100	0	.	4	100	0	.	0	.	0	.	0	.	3	100	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	9	100	19	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	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	.	2	100	0	.	0	.	0	.	0	.	-2	100	0	.	0	.	0	.	2	100	0	.	142	41
	ash	36	100	14	84	0	.	0	.	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	.	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	.	0	.	0	.	26	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	132	43
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	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	.	64	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	3	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	102	69
	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	.	10	100	0	.	7	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	64
	other broadleaves	10	100	-1	100	0	.	0	.	0	.	0	.	11	62	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	71	0	.	15	92	1	357	13	92	0	.	0	.	0	.	10	55	0	.	3	100	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	9	.	0	.	0	.	2	100	0	.	2	100	0	.	0	.	0	.	0	.	0	.	1	.	0	.	0	.	0	.	0	.	4	73	12	.	5	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	5	100	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	71	3	100	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	127	24
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	176	68	68	96	20	100	0	.	0	.	7	100	856	35	115	73	261	51	66	100	0	.	74	100	0	.	0	.	1	.	79	71	13	137	13	100	0	.	7	83	251	52	0	.	180	63	295	69	137	66	0	.	49	93	43	72	113	62	58	.	42	99	0	.	0	.	0	.	3	.	0	.	4	75	12	100	30	.	129	95	121	.	29	.	84	80	62	96	0	.	15	91	0	.	86	79	151	75	0	.	17	100	3	.	83	71	10	100	62	67	0	.	38	66	12	.	11	.	4	73	0	.	15	85	7	.	0	.	82	95	26	100	52	84	0	.	0	.	5	100	33	82	0	.	0	.	0	.	6	74	0	.	0	.	0	.	82	.	0	.	0	.	168	53	77	54	116	66	75	100	0	.	39	.	11	100	1	100	70	100	0	.	114	75	0	.	4866	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	154	58	38	72	139	61	95	100	45	.	254	74	590	36	366	51	694	37	142	60	0	.	58	64	57	100	0	.	41	100	170	58	291	67	102	75	1	100	284	78	247	58	198	65	-1	100	472	46	145	57	390	57	92	63	130	88	315	60	22	100	101	.	68	100	0	.	10	.	139	81	243	74	131	85	201	54	26	85	126	60	0	.	63	58	264	53	4	100	0	.	20	80	0	.	67	59	294	79	39	100	71	87	82	58	51	.	32	75	0	.	0	.	0	.	0	.	11	100	0	.	6	71	6	100	0	0	69	100	425	65	0	.	0	.	0	.	268	74	0	.	4	100	194	98	32	.	177	53	0	.	198	41	30	71	31	71	110	84	0	.	0	.	426	37	358	43	192	74	37	76	31	87	225	62	77	56	331	47	0	.	0	.	85	67	0	.	10883	9
	fir	55	63	0	.	10	100	0	.	30	.	8	100	10	100	57	52	226	55	187	50	0	.	13	100	28	79	0	.	9	100	2	100	12	88	26	100	0	.	0	.	21	100	0	.	0	.	44	100	0	.	157	68	188	100	183	75	18	74	3	100	0	.	23	100	0	.	33	.	13	77	0	.	36	79	88	78	27	100	1	100	0	.	32	100	0	.	0	.	0	.	40	100	5	100	42	88	18	95	81	71	3	100	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	41	100	0	.	0	.	121	64	0	.	16	100	4	100	0	.	0	.	64	87	0	.	71	100	0	.	13	.	0	.	0	.	117	60	10	100	0	.	96	79	0	.	0	.	29	100	0	.	1	100	5	100	0	.	30	100	30	100	122	51	0	.	0	.	0	.	0	.	2501	15
	pine	0	.	26	86	18	78	0	.	0	.	0	.	0	.	0	.	21	88	30	100	0	.	23	100	38	100	0	.	0	.	7	100	0	.	22	100	39	73	0	.	18	84	0	.	0	.	65	65	60	66	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	66	100	0	.	0	.	0	.	0	.	0	.	0	.	114	53	14	100	0	.	43	100	13	100	32	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	68	100	0	.	0	.	7	.	0	.	0	.	2	100	0	.	0	.	0	.	426	41	142	43	50	98	0	.	0	.	0	.	64	68	12	100	0	.	0	.	0	.	0	.	1421	18
	larch	4	100	4	100	20	100	0	.	0	.	0	.	0	100	0	.	65	93	0	.	0	.	0	.	13	100	63	.	0	.	0	.	0	.	15	100	0	.	0	.	0	.	38	59	0	.	76	75	84	45	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	75	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	100	0	.	10	100	0	.	0	.	2	100	0	.	-8	100	40	61	51	100	0	.	0	.	0	.	0	.	24	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	239	50	153	58	57	90	0	.	0	.	0	.	0	.	0	.	0	.	0	.	37	71	0	.	1045	20
	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	.	38	87	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	29	73	11	100	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	82	50
	other conifers	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	51	70	0	.	0	.	0	.	0	.	30	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	-1	100	3	100	0	.	2	100	0	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	2	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	100	0	.	0	.	0	.	0	.	0	.	117	42
	beech	265	50	32	87	141	58	181	68	13	.	0	.	110	75	80	72	277	47	542	38	0	.	264	51	92	80	0	.	27	100	39	72	86	72	86	100	0	.	4	100	19	100	0	.	0	.	78	68	0	.	186	47	16	100	0	.	3	100	0	.	0	.	18	100	0	.	21	.	25	77	0	.	173	71	0	.	3	100	76	67	131	72	54	67	319	46	15	100	72	80	54	82	173	71	45	59	4	100	28	100	3	100	2	100	0	.	0	.	0	.	0	.	85	88	133	84	141	41	115	82	235	55	30	94	111	48	0	.	1	100	16	100	0	.	0	.	93	100	0	.	22	73	0	.	39	.	5	100	0	.	258	50	14	100	171	73	20	62	0	.	0	.	0	.	0	.	174	65	1	100	85	100	6	100	131	59	108	66	0	.	18	87	9	82	0	.	5780	10
	maple	93	49	6	100	8	100	30	93	5	.	0	.	47	57	18	72	24	100	2	100	0	.	12	100	23	62	36	.	4	100	0	.	11	100	0	.	0	.	48	78	0	.	0	.	16	100	10	87	0	.	4	100	9	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	71	0	.	23	71	63	99	24	100	42	85	23	100	55	76	0	.	16	100	14	82	12	89	49	75	21	69	4	100	0	.	0	.	4	100	0	.	0	.	2	100	0	.	0	.	13	100	2	71	0	.	0	.	0	.	33	73	11	100	0	.	43	100	15	.	0	.	37	82	0	.	7	73	0	.	0	.	0	.	3	.	101	58	2	100	3	100	0	.	0	.	0	.	3	100	0	.	14	65	16	100	25	100	23	69	86	65	32	84	15	.	81	74	0	.	0	.	1342	14
	ash	47	55	10	100	17	100	64	81	0	.	3	100	36	100	5	100	81	58	18	100	0	.	0	.	42	88	0	.	0	.	76	82	100	61	35	100	0	.	8	100	0	.	0	.	124	63	3	71	0	.	75	64	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	97	79	0	.	29	100	89	60	46	100	0	.	29	71	39	93	94	67	1	100	0	.	51	88	0	.	41	68	0	.	0	.	21	84	5	100	0	.	7	100	10	100	0	.	0	100	2	74	24	50	0	.	10	100	17	100	42	96	5	100	0	.	10	100	2	.	0	.	95	82	0	.	0	.	0	.	0	.	0	.	0	.	125	65	56	86	6	78	45	78	0	.	0	.	5	100	0	.	6	100	60	100	11	100	6	61	129	59	38	71	59	.	79	62	0	.	0	.	2139	13
	oak	11	100	37	100	0	.	0	.	0	.	0	.	3	82	0	.	107	43	0	.	0	.	0	.	31	75	0	.	0	.	37	95	5	71	0	.	213	54	0	.	0	.	0	.	0	.	1	100	0	.	12	100	0	.	0	.	0	.	27	100	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	3	100	0	.	35	77	0	.	10	100	0	.	11	100	0	.	0	.	0	.	4	100	3	100	9	.	0	.	0	.	0	.	10	90	8	59	140	40	64	76	24	62	1	100	0	100	0	.	0	.	0	.	9	.	0	.	0	.	0	.	30	100	0	.	0	.	0	.	62	.	0	.	14	89	69	62	0	.	0	.	0	.	0	.	28	89	17	70	0	.	38	100	0	.	0	.	0	.	19	.	0	.	0	.	0	.	1094	17
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	225	54	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	100	0	.	0	.	169	54	148	48	485	35	5	100	127	59	387	43	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	100	0	.	14	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1616	17
	other broadleaves	21	100	48	96	27	82	0	.	1	.	9	100	15	73	15	84	115	47	3	100	0	.	2	100	8	100	0	.	15	100	59	72	2	100	0	.	0	.	8	84	0	.	29	100	158	60	296	37	44	70	24	88	11	90	4	100	0	.	0	.	0	.	25	100	0	.	0	.	3	71	20	90	38	77	0	.	0	.	16	68	81	74	0	.	29	71	9	100	21	100	0	.	0	.	31	66	9	85	66	100	42	74	0	.	0	.	10	93	34	64	45	95	110	53	157	47	409	40	187	40	138	70	138	69	20	72	40	100	2	100	9	100	5	.	0	.	30	84	37	.	0	.	0	.	0	.	0	.	0	.	8	62	150	80	46	65	5	73	0	.	0	.	161	39	5	93	47	51	8	100	11	100	14	100	17	69	2	100	2	.	6	100	3	100	0	.	3161	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	.
	total	649	38	201	54	390	51	371	52	95	.	274	74	813	31	541	44	1662	25	924	35	0	.	373	47	331	54	128	.	97	72	389	49	507	45	286	75	253	51	353	69	305	50	265	57	297	59	1269	25	371	36	851	35	326	75	317	67	337	59	51	71	101	.	134	83	0	.	64	.	299	50	329	61	430	52	442	55	126	85	291	55	270	66	243	48	858	36	59	94	117	71	226	58	252	70	279	42	330	76	215	58	144	56	120	58	62	.	89	64	46	55	45	95	376	39	461	38	1205	24	452	36	591	35	578	39	325	53	126	73	447	63	106	78	31	.	0	.	587	69	37	.	133	73	262	77	84	.	182	54	72	.	808	35	276	65	329	49	276	61	0	.	0	.	1342	25	696	32	576	44	127	72	200	88	304	52	544	45	644	40	95	.	185	65	134	64	0	.	31181	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	287	80	242	80	57	100	454	46	248	72	848	52	2198	28	966	34	784	40	771	36	0	.	0	.	35	100	0	.	20	.	736	61	843	48	1217	38	0	.	775	49	34	78	321	74	120	.	461	80	1016	39	575	52	60	91	104	59	1325	34	0	.	0	.	73	.	41	100	146	75	181	100	0	.	215	62	143	62	0	.	521	52	0	.	256	67	729	42	8	100	314	79	83	100	183	57	131	75	401	69	255	82	175	.	55	100	48	76	0	.	175	68	242	100	0	.	24	100	0	0	0	.	0	.	0	.	286	72	316	.	376	58	22	65	286	92	186	78	193	58	333	91	28	67	0	.	23	71	429	51	137	100	186	76	448	42	0	.	97	.	69	.	0	.	111	72	569	52	1061	43	0	.	40	80	182	92	249	61	451	50	233	68	317	71	0	.	0	.	25519	8
	fir	66	67	0	.	0	.	620	40	113	100	384	54	76	71	309	59	235	73	493	51	9	.	0	.	28	87	0	.	0	.	0	.	67	74	258	75	0	.	64	58	0	.	0	.	0	.	94	100	0	.	734	48	58	100	304	52	275	57	7	100	51	.	47	.	61	80	320	64	38	71	0	.	115	74	187	61	0	.	0	.	0	.	184	66	0	.	0	.	43	87	132	100	247	43	0	.	198	64	80	61	24	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	21	100	0	.	91	100	0	.	11	100	0	.	48	100	85	61	28	100	191	49	69	100	0	.	94	59	203	.	138	88	0	.	20	100	176	53	30	84	45	100	30	.	0	.	4	.	0	.	0	.	71	90	0	.	12	100	0	.	249	61	12	100	38	100	0	.	0	.	0	.	7589	11
	pine	82	60	0	.	13	100	17	71	0	.	0	.	8	100	38	73	57	71	156	74	0	.	0	.	150	56	0	.	0	.	0	.	0	.	0	.	0	.	0	.	127	100	0	.	0	.	96	90	454	51	88	68	0	.	97	77	0	.	70	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	249	57	0	.	17	73	0	.	81	59	0	.	0	.	0	.	0	.	71	100	19	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	111	66	5	100	0	.	0	.	0	.	11	100	0	.	0	.	17	100	0	.	0	.	0	.	58	100	0	.	0	.	0	.	0	.	25	76	17	100	45	71	0	.	28	100	0	.	34	100	62	76	161	84	33	100	0	.	0	.	2498	17
	larch	8	100	15	100	0	.	89	100	0	.	0	.	37	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	48	100	0	.	0	.	61	74	621	40	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	98	74	0	.	0	.	0	.	12	100	46	107	0	.	182	91	0	.	0	.	63	100	9	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	231	65	165	40	96	66	0	.	15	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1810	21
	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	.	73	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	.	0	.	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	32	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	128	50
	other conifers	0	.	0	.	0	.	16	83	0	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	97	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	.	2	100	0	.	0	.	0	.	0	.	0	.	3	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	100	1	100	0	.	0	.	0	.	0	.	0	.	132	74
	beech	266	44	116	69	123	83	243	53	109	100	170	45	105	83	224	41	603	35	508	38	77	.	133	.	250	54	0	.	144	.	117	99	219	57	519	50	0	.	432	53	228	57	13	100	0	.	87	100	0	.	818	40	210	70	154	61	234	80	50	100	46	.	16	.	14	88	132	66	85	82	0	.	298	68	47	62	360	71	16	100	0	.	365	69	452	38	378	90	195	65	129	92	637	38	0	.	0	.	219	78	0	.	27	100	7	74	0	.	0	.	0	.	84	87	167	52	132	74	124	71	72	76	159	67	0	.	0	.	80	100	132	71	0	.	122	54	57	100	0	.	245	49	7	.	79	63	10	76	60	83	425	50	169	100	270	70	11	.	34	.	13	.	0	.	0	.	85	72	0	.	241	84	156	92	246	65	100	57	35	100	19	91	0	.	0	.	12912	8
	maple	73	58	7	100	0	.	35	85	0	.	108	54	259	48	21	73	45	72	121	51	0	.	24	.	2	100	0	.	0	.	0	.	50	65	0	100	0	.	26	50	6	100	0	.	0	.	0	.	0	.	199	34	11	100	0	.	40	74	11	100	0	.	26	.	0	.	2	100	7	82	0	.	10	100	85	53	2	100	88	100	0	.	47	85	0	.	2	100	4	100	0	.	104	55	0	.	7	100	0	.	0	.	13	100	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	38	70	47	100	55	52	2	100	0	.	37	72	0	.	9	100	9	100	8	100	4	100	32	77	0	.	0	.	0	.	0	.	0	.	0	.	34	78	0	.	11	77	5	100	39	71	20	71	0	.	0	.	0	.	0	.	1793	13
	ash	54	93	119	74	0	.	19	100	0	.	142	56	35	100	63	76	84	63	21	100	0	.	0	.	37	100	0	.	65	.	0	.	0	.	19	100	0	.	13	76	0	.	0	.	0	.	0	.	0	.	185	77	19	100	2	100	40	77	0	.	0	.	0	.	0	.	0	.	68	100	0	.	3	100	222	59	11	100	0	.	0	.	23	100	0	.	25	73	0	.	0	.	58	70	0	.	0	.	25	100	0	.	0	.	9	100	0	.	0	.	0	.	0	.	4	100	24	100	0	.	0	.	14	100	0	.	0	.	0	.	112	68	1	100	25	100	0	.	41	100	0	.	0	.	0	.	0	.	29	100	0	.	45	100	0	.	0	.	0	.	17	.	0	.	0	.	46	75	0	.	28	64	26	73	0	.	40	74	10	100	58	100	0	.	0	.	1880	16
	oak	73	92	43	100	58	100	38	86	0	.	0	.	0	0	0	.	35	71	0	.	0	.	0	.	67	77	0	.	0	.	0	.	6	100	17	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	115	100	23	100	17	100	0	.	12	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	147	61	0	.	0	.	0	.	53	61	0	.	0	.	0	.	0	.	75	100	49	100	0	.	0	.	0	.	0	.	10	74	69	97	0	.	9	100	42	100	0	.	0	.	0	.	5	80	0	.	0	.	0	.	0	.	0	.	9	.	31	72	0	.	9	100	16	100	44	76	51	75	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	100	25	100	14	100	0	.	0	.	0	.	1186	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	100	100	8	100	240	47	107	86	0	.	19	100	101	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	.	592	31
	other broadleaves	40	60	29	59	0	.	76	100	0	.	0	.	109	77	28	71	14	71	35	43	0	.	0	.	18	60	0	.	0	.	36	100	0	.	27	75	0	.	0	.	15	100	0	.	0	.	0	.	0	.	138	56	0	.	0	.	5	100	0	.	4	.	0	.	4	100	10	100	25	95	0	.	0	.	0	.	0	100	9	100	0	.	54	83	1	100	0	.	2	100	0	.	33	67	0	.	7	100	17	100	0	.	20	100	5	100	0	.	32	86	2	100	98	81	111	58	84	78	0	.	0	.	19	78	0	.	0	.	0	.	64	91	125	81	8	61	15	88	0	.	27	78	0	.	1	100	3	75	7	100	0	.	0	.	0	.	42	.	0	.	0	.	0	.	22	61	42	97	0	.	18	71	0	.	0	.	0	.	24	100	0	.	0	.	0	.	1507	16
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	948	42	570	53	251	71	1607	32	470	76	1655	39	2827	25	1648	30	1855	29	2106	27	86	.	158	.	587	50	0	.	229	.	888	53	1184	42	2057	33	0	.	1312	39	458	56	334	75	120	.	799	57	2163	29	2853	25	380	59	774	39	1919	31	151	71	102	.	162	.	120	88	610	48	403	64	0	.	642	47	684	45	373	71	635	47	0	.	928	50	1592	33	412	87	576	57	344	74	1397	30	131	75	613	59	597	58	199	.	261	71	138	73	0	.	322	52	344	76	189	61	564	40	448	47	171	58	191	76	517	47	297	71	316	.	679	52	472	47	487	69	588	49	337	64	385	83	434	45	219	.	299	61	451	50	269	68	807	45	826	37	366	61	179	.	103	.	34	.	390	53	805	44	1479	35	0	.	393	64	379	71	844	49	710	42	516	59	426	72	0	.	0	.	57546	5
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	419	74	244	49	233	91	1472	37	1263	39	890	44	5965	20	3535	21	3975	22	1165	35	58	100	5	100	385	82	0	.	733	55	379	80	902	48	945	50	0	.	658	51	1486	40	593	35	2749	27	2911	26	1098	35	936	32	789	44	2257	30	1760	34	82	100	23	.	523	54	28	.	221	73	249	74	426	59	1180	54	590	61	375	70	560	50	350	67	552	45	200	75	554	53	113	65	523	67	93	61	429	49	1504	36	366	67	608	54	372	50	318	50	377	67	160	60	659	34	-1	.	0	.	0	.	151	100	0	.	61	100	76	100	441	61	347	70	430	74	326	70	287	59	554	65	0	.	297	53	35	100	475	52	365	57	91	.	97	.	258	60	20	.	0	.	83	.	850	65	354	53	530	49	1233	30	311	54	500	45	585	42	635	51	694	40	342	63	224	71	478	61	0	.	60367	5
	fir	28	100	0	.	159	94	509	53	289	61	475	51	447	50	2245	22	1941	28	1016	33	6	100	0	.	116	99	0	.	3	100	0	.	273	92	277	89	0	.	305	65	25	72	88	73	96	100	118	72	0	.	1023	32	629	42	1387	31	354	40	336	77	133	.	121	67	73	.	63	100	236	71	146	100	214	96	156	70	48	94	295	53	179	88	462	59	45	97	35	63	164	82	99	63	124	70	139	100	282	65	3	100	22	74	147	72	126	71	0	0	60	79	93	100	0	.	0	.	0	.	0	.	94	100	47	100	275	77	0	.	122	88	38	94	0	.	192	100	0	.	0	.	20	63	73	71	297	54	12	100	4	.	0	.	159	64	150	.	0	.	23	.	56	90	0	.	20	100	86	99	137	57	118	54	339	48	421	49	60	76	0	.	0	.	120	88	0	.	18472	8
	pine	62	100	449	57	29	100	84	77	0	.	0	.	316	82	17	100	295	46	85	64	59	100	25	100	0	.	0	.	12	100	116	100	0	.	348	71	6	.	0	.	31	100	423	48	45	100	100	76	66	71	198	63	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	79	100	20	100	183	65	24	100	89	71	86	78	0	.	11	100	0	.	16	100	30	71	181	81	0	.	97	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	202	100	0	.	0	.	0	.	0	.	32	100	0	.	218	71	0	.	0	.	303	51	7	100	148	60	23	72	76	100	166	54	0	.	4755	14
	larch	0	.	57	77	0	.	83	59	0	.	0	.	174	60	0	.	51	100	0	.	0	.	0	.	16	100	0	.	0	.	0	.	0	.	85	100	0	.	38	100	317	51	107	70	62	78	142	60	717	34	17	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	153	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	32	100	54	60	68	.	0	.	0	.	79	100	55	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	21	100	0	.	0	.	0	.	31	100	0	.	0	.	0	.	0	.	467	45	183	69	266	41	52	100	0	.	0	.	0	.	0	.	0	.	38	100	156	71	0	.	3521	14
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	30	100	188	48	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	66	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	293	40
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	46	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	.	137	100	1	100	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	149	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	336	62
	beech	709	42	352	47	26	71	754	42	98	56	139	74	853	37	1473	30	2318	23	793	32	112	75	155	86	294	51	0	.	4	100	1	100	205	72	40	64	0	.	272	59	44	71	129	51	31	100	18	100	0	.	1521	25	391	52	163	46	673	39	31	100	15	.	94	61	16	.	26	100	224	85	0	.	770	58	272	88	443	64	414	42	64	97	202	56	312	47	402	46	381	45	473	46	192	50	114	57	0	.	61	74	136	60	56	83	338	46	0	.	13	100	0	.	6	.	166	84	0	.	0	.	26	100	75	100	156	78	0	.	51	75	11	100	38	73	0	.	294	67	0	.	239	75	97	100	195	49	43	61	68	.	42	.	121	68	39	.	22	.	27	.	88	74	0	.	0	.	15	100	78	60	177	53	179	53	170	76	484	48	311	65	201	67	184	56	0	.	20220	7
	maple	175	68	0	.	0	.	38	100	0	.	70	91	100	59	26	56	68	62	94	49	13	100	16	100	50	65	0	.	0	.	0	.	6	72	0	.	0	.	36	61	10	100	15	81	0	.	4	100	0	.	138	47	40	78	0	.	63	63	0	.	0	.	0	.	3	.	0	.	66	66	69	100	19	92	0	.	21	100	91	73	33	79	134	46	14	100	0	.	56	82	8	121	43	71	59	65	35	76	0	.	34	100	14	100	16	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	29	79	0	.	0	.	28	100	-1	100	0	.	1	100	0	.	6	100	0	.	0	.	0	.	4	.	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	.	2	100	51	71	44	76	24	76	23	71	3	100	0	.	0	.	0	.	0	.	1908	13
	ash	41	74	39	100	54	100	0	.	0	.	0	.	3	100	113	47	125	92	0	.	38	71	0	.	0	.	0	.	0	.	0	.	29	100	27	100	6	.	50	118	42	100	0	.	0	.	0	.	0	.	137	48	75	55	51	72	23	100	21	100	0	.	0	.	0	.	0	.	69	69	0	.	0	.	46	72	19	100	4	100	5	100	43	77	47	94	0	.	2	100	0	.	41	100	115	71	0	.	64	100	13	83	181	57	22	84	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	1	100	0	.	0	.	0	.	0	.	0	.	42	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	85	.	2	.	10	100	1	100	0	.	11	100	91	100	165	71	50	82	103	54	14	100	30	100	0	.	42	60	0	.	2202	15
	oak	6	100	12	100	21	100	102	46	0	.	0	.	0	.	13	100	169	35	0	.	92	95	0	.	0	.	0	.	30	73	0	.	0	.	0	.	168	.	0	.	0	.	0	.	0	.	0	.	34	100	191	52	3	100	114	86	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	100	49	91	0	.	9	100	0	.	37	100	11	100	0	.	0	.	61	71	26	71	79	70	0	.	0	.	0	.	1	.	0	.	0	.	0	.	45	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	89	79	0	.	0	.	109	100	0	.	0	.	0	.	0	.	3	100	15	.	0	.	0	.	21	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	183	64	11	100	82	87	38	100	0	.	1833	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	.	0	.	14	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	12	81	0	.	28	100	0	.	0	.	71	79	176	87	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	308	54
	other broadleaves	78	100	39	64	50	83	14	72	0	.	9	100	149	52	48	70	61	57	7	82	46	71	6	100	0	.	0	.	0	.	0	.	1	100	1	100	3	.	43	76	7	100	17	77	0	0	2	100	4	71	110	59	15	71	11	82	0	.	62	100	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	38	77	102	58	0	.	0	.	0	.	5	72	11	87	82	82	77	72	22	84	2	100	21	95	26	100	1	100	0	.	0	.	11	100	2	100	4	.	9	100	0	.	0	.	36	91	0	.	49	100	0	.	0	.	4	100	0	.	10	100	0	.	0	.	0	.	4	100	5	100	0	.	0	.	0	.	0	.	0	.	42	.	3	.	12	100	0	.	0	.	4	100	11	86	45	91	0	.	0	.	41	100	11	100	0	.	26	100	0	.	1503	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	.
	total	1519	38	1192	40	572	53	3056	27	1650	37	1583	41	8006	17	7468	18	9050	16	3161	24	424	63	207	87	861	48	0	.	781	55	496	72	1416	44	1724	40	183	.	1402	40	1970	32	1373	30	2984	26	3325	25	2122	28	4270	20	1944	32	3984	25	2873	28	531	63	172	.	738	53	120	.	310	71	849	51	641	58	2182	41	1201	46	945	47	1620	35	632	63	1479	39	686	47	1182	38	759	42	1274	40	693	47	887	39	1834	37	516	53	917	48	829	44	1080	39	377	67	381	48	820	35	78	.	203	83	0	.	231	74	334	63	359	65	586	62	441	61	520	60	511	67	364	67	488	64	980	48	0	.	562	47	317	72	992	45	420	57	167	.	139	.	940	44	223	.	148	.	137	.	1037	56	920	39	734	44	1834	27	731	45	1048	40	1480	35	1359	41	1628	38	729	50	620	58	1209	39	0	.	115717	4
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	0	.	876	59	0	.	408	80	410	74	765	58	3104	27	1188	39	2300	27	605	39	225	100	159	.	18	100	0	.	0	.	373	63	551	72	103	69	0	.	1483	38	2037	33	647	49	2251	28	1990	27	631	45	644	39	868	49	35	81	440	71	0	.	81	.	0	.	278	66	236	94	112	.	165	.	233	88	365	53	862	63	788	52	602	53	1625	42	308	63	537	47	86	76	287	.	0	.	393	59	140	100	715	45	0	.	575	49	461	50	212	61	798	46	278	80	0	.	0	.	38	.	0	.	0	.	87	100	145	83	218	.	0	.	80	89	37	.	181	70	303	.	0	.	777	40	121	73	0	.	0	.	0	.	0	.	185	100	0	.	222	84	44	.	0	.	688	44	0	.	959	42	63	.	0	.	269	.	192	66	80	100	386	64	413	78	154	.	0	.	37891	7
	fir	72	78	13	100	28	100	127	100	43	100	134	82	364	45	1521	30	1050	33	471	39	0	0	17	.	41	100	0	.	0	.	0	.	123	100	0	.	0	.	0	.	39	71	133	94	173	94	231	79	0	.	649	33	154	70	231	71	403	65	0	.	0	.	148	.	187	71	72	100	0	.	199	.	81	100	346	55	52	100	9	100	25	100	288	62	0	.	393	71	40	100	0	.	0	.	142	82	22	100	389	53	0	.	142	71	146	100	0	.	5	81	0	.	0	.	0	.	11	.	90	100	0	.	0	.	0	.	0	.	0	.	91	88	195	.	0	.	0	.	0	.	335	60	0	.	0	.	0	.	0	.	0	.	183	87	0	.	116	100	128	.	0	.	0	.	0	.	63	100	67	.	0	.	35	.	382	61	280	67	0	.	128	100	0	.	0	.	10804	10
	pine	0	.	0	.	22	100	0	.	0	.	8	100	0	.	0	.	353	56	0	.	0	.	0	.	0	.	0	.	0	.	9	100	0	.	100	77	0	.	0	.	0	.	302	57	0	.	70	82	56	71	97	77	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	31	100	0	.	0	.	0	.	0	.	0	.	15	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	46	100	21	71	14	100	54	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	44	72	0	.	0	.	0	.	0	.	18	.	12	100	104	100	116	100	74	100	0	.	0	.	1586	22
	larch	0	.	0	.	12	100	22	100	0	.	0	.	25	100	32	100	47	100	0	.	0	.	0	.	0	.	0	.	0	.	63	100	0	.	0	.	0	.	0	.	32	100	108	63	16	100	387	49	1194	34	0	.	0	.	0	.	0	.	0	.	0	.	0	.	34	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	40	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	40	100	0	.	0	.	0	.	154	100	77	59	0	.	0	.	0	.	148	.	0	.	0	.	220	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	980	36	0	.	292	47	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3923	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	.	63	91	209	65	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	48	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	319	49
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	113	100	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	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	139	83
	beech	576	55	133	95	55	100	135	94	0	.	138	95	652	50	829	37	1645	29	309	50	387	72	25	.	278	78	0	.	0	.	263	62	35	100	268	82	0	.	141	76	472	73	215	54	14	93	113	100	0	.	945	36	530	58	283	76	2	100	0	.	16	.	10	.	9	71	38	100	0	.	0	.	124	87	78	88	2	100	4	100	234	81	92	79	250	53	522	48	175	78	1	.	0	.	44	76	250	99	345	54	0	.	86	79	419	54	0	.	0	.	0	.	44	.	0	.	25	.	7	100	0	.	0	.	47	100	0	.	0	.	76	100	9	.	0	.	7	.	0	.	167	61	70	71	0	.	0	.	0	.	0	.	30	100	0	.	63	70	59	.	0	.	0	.	0	.	68	100	75	.	0	.	7	.	127	58	492	48	33	100	109	76	0	.	0	.	12657	10
	maple	72	72	16	100	12	100	0	.	14	100	19	100	36	100	11	72	51	91	142	51	34	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	41	58	31	95	0	.	0	.	0	.	0	.	58	47	15	71	0	.	4	100	0	.	0	.	0	.	71	100	0	.	0	.	0	.	0	.	58	71	37	100	59	100	30	100	11	100	9	100	28	100	0	.	0	.	0	.	2	100	0	.	11	100	0	.	9	100	47	83	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	20	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	29	100	28	74	0	.	2	100	0	.	0	.	1009	18
	ash	20	100	0	.	0	.	0	.	0	.	0	.	0	.	125	100	90	46	0	.	25	100	0	.	0	.	0	.	0	.	0	.	0	.	40	71	0	.	22	100	0	.	0	.	0	.	0	.	0	.	39	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	92	86	0	.	9	100	0	.	0	.	37	72	0	.	0	.	0	.	0	.	0	.	0	.	57	74	0	.	13	100	27	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	100	0	.	0	.	0	.	0	.	18	100	9	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	45	76	0	.	0	.	0	.	0	.	683	26
	oak	9	100	0	.	68	100	42	100	0	.	0	.	0	.	0	.	110	50	0	.	25	100	0	.	0	.	0	.	0	.	0	.	0	.	61	100	0	.	0	.	0	.	34	100	0	.	0	.	0	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	35	100	50	100	0	.	5	100	0	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	148	92	93	61	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	92	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	0	.	0	.	14	100	65	74	0	.	0	.	0	.	887	26
	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	.	48	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	.	185	100	0	.	0	.	0	.	0	.	200	100	0	.	250	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	683	48
	other broadleaves	58	100	12	92	64	98	0	.	0	.	0	.	70	83	16	73	163	60	3	60	16	72	0	.	0	.	0	.	0	.	0	.	0	.	86	100	0	.	0	.	9	100	19	100	0	.	0	.	9	100	13	70	14	100	0	.	0	.	0	.	0	.	0	.	13	100	0	.	0	.	0	.	0	.	2	100	8	100	7	100	6	100	0	.	0	.	0	.	0	.	0	.	0	.	18	100	0	.	29	100	0	.	6	78	66	83	15	93	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	100	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	45	100	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	17	100	0	.	117	100	0	.	0	.	10	.	1	100	10	100	24	91	0	.	0	.	0	.	969	23
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	807	51	1050	53	262	80	734	59	467	75	1064	58	4251	24	3722	25	5923	19	1530	31	711	55	201	.	336	74	0	.	0	.	709	58	709	76	659	58	0	.	1687	37	2620	29	1458	35	2454	28	2853	24	2147	27	2445	25	1610	38	549	60	849	58	0	.	97	.	158	.	590	58	345	73	112	.	364	.	439	71	1006	46	1011	63	877	50	942	51	2016	39	611	53	1495	41	301	73	288	.	0	.	598	59	412	72	1587	38	0	.	1026	46	1280	39	395	53	1120	40	278	80	44	.	0	.	223	.	297	75	0	.	571	51	212	71	218	.	0	.	262	75	240	.	181	70	310	.	0	.	1324	39	335	74	0	.	0	.	0	.	0	.	419	71	0	.	401	84	231	.	0	.	1777	28	0	.	1507	33	205	.	0	.	338	.	744	51	1053	44	624	56	727	59	154	.	0	.	71549	5
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	46	.	49	74	0	.	0	.	18	.	275	71	2404	22	1605	25	410	44	475	38	0	.	0	.	128	72	0	.	81	88	769	46	223	57	172	61	0	.	247	82	1229	26	620	40	846	40	2417	23	2134	21	124	59	96	59	318	46	462	50	91	75	770	30	96	59	193	57	1351	38	226	67	631	48	666	40	26	.	192	62	393	59	985	42	461	51	0	.	8	.	142	87	14	100	0	.	272	68	229	55	108	76	171	47	51	100	37	83	151	72	296	52	113	63	0	.	11	100	0	.	47	74	51	100	31	85	100	73	108	.	143	75	154	62	301	39	142	58	0	.	0	.	134	58	0	.	0	.	766	33	312	50	186	51	0	.	0	.	48	.	0	.	20	.	1597	25	1874	23	1082	31	142	.	0	.	0	.	97	59	0	.	0	.	19	100	72	66	0	.	30254	6
	fir	0	.	49	73	0	.	0	.	32	.	32	100	184	49	2135	25	898	38	151	66	0	.	0	.	0	.	0	.	128	81	71	97	332	62	21	71	0	.	6	100	105	66	50	70	16	100	204	67	0	.	70	56	80	71	502	40	190	90	249	59	397	33	124	60	179	65	189	59	0	.	123	57	131	58	0	.	59	100	94	84	41	97	139	58	0	.	20	.	134	99	30	100	0	.	-1	100	128	63	7	100	87	68	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	183	100	98	100	0	.	68	77	0	.	0	.	102	63	137	72	116	65	0	.	0	.	23	85	0	.	0	.	142	59	324	47	84	71	0	.	0	.	0	.	0	.	0	.	102	98	263	64	181	52	44	.	0	.	0	.	97	68	80	.	0	.	0	.	5	100	0	.	9437	10
	pine	0	.	0	.	0	.	0	.	0	.	0	.	202	66	0	.	0	.	51	65	0	.	0	.	16	100	0	.	0	.	28	100	0	.	15	100	0	.	0	.	78	67	106	71	0	.	194	65	414	40	50	72	0	.	0	.	0	.	0	.	0	.	0	.	14	85	28	100	0	.	0	.	12	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	69	65	63	100	0	.	0	.	0	.	0	.	45	77	17	100	0	.	0	.	0	.	49	100	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	77	78	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	100	0	.	0	.	0	.	0	.	0	.	0	.	307	48	157	43	300	41	0	.	0	.	0	.	0	.	0	.	37	94	0	.	0	.	0	.	2343	15
	larch	0	.	0	.	0	.	0	.	0	.	0	.	3	100	34	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	45	82	64	78	0	.	546	26	1039	25	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	60	69	100	68	127	58	67	90	0	.	0	.	263	46	179	51	7	100	0	.	0	.	0	.	92	68	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1029	24	1024	27	257	43	0	.	0	.	0	.	0	.	0	.	58	100	0	.	0	.	0	.	4994	10
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	47	98	538	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	.	225	36	125	40	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	943	21
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	35	100	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	5	100	0	.	0	.	0	.	0	.	0	.	1	100	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	16	100	2	.	0	.	0	.	0	.	0	.	74	54
	beech	0	.	230	54	93	83	0	.	12	.	138	74	370	46	360	35	244	49	176	44	21	.	159	96	162	74	0	.	95	96	201	56	26	100	105	89	0	.	40	76	19	86	114	94	0	.	17	74	0	.	216	54	224	71	22	71	62	74	50	59	88	52	90	96	101	66	131	63	72	100	21	91	81	77	47	.	98	90	168	77	187	51	337	66	79	.	36	.	248	53	75	71	81	.	47	83	2	100	12	100	77	57	44	100	16	100	0	.	55	81	0	.	75	79	210	61	89	65	355	45	94	61	51	72	9	83	0	.	31	100	83	72	75	64	107	78	0	.	0	.	159	76	0	.	0	.	111	54	306	51	135	76	0	.	0	.	63	.	0	.	17	.	0	.	0	.	175	42	0	.	0	.	0	.	103	69	20	.	53	86	17	91	111	64	0	.	7799	9
	maple	30	.	46	85	0	.	0	.	0	.	1	100	72	57	53	47	5	114	97	52	0	.	23	82	0	.	0	.	0	.	27	88	44	71	3	100	0	.	39	80	19	78	0	.	0	.	21	71	0	.	14	100	2	100	7	59	27	70	14	72	65	52	0	.	0	.	2	100	13	100	0	.	0	.	24	.	0	.	64	51	9	100	135	52	0	.	0	.	23	63	40	85	2	.	0	.	1	100	2	100	137	82	13	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	100	0	.	0	.	0	.	0	.	0	.	57	60	23	57	0	.	0	.	2	100	0	.	0	.	9	77	2	100	7	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	37	70	0	.	0	.	0	.	40	74	36	.	0	.	0	.	116	67	0	.	1409	15
	ash	60	.	264	61	0	.	0	.	0	.	67	100	13	100	139	50	13	100	0	.	47	.	0	.	0	.	0	.	27	100	48	62	35	71	107	100	0	.	12	100	0	.	0	.	0	.	0	100	0	.	173	59	0	.	31	90	0	.	0	.	54	78	0	.	0	.	0	.	0	.	14	100	0	.	30	.	32	87	29	63	16	100	30	100	0	.	0	.	34	71	0	100	6	.	0	.	0	.	9	100	103	49	61	79	46	74	0	.	0	.	0	.	0	.	0	.	0	.	13	100	3	375	5	100	0	.	0	.	0	.	0	.	24	95	3	100	0	.	0	.	0	.	0	.	0	.	2	100	55	100	0	.	0	.	0	.	0	.	0	.	86	.	0	.	0	.	39	88	0	.	0	.	0	.	7	100	6	.	0	.	0	.	105	61	0	.	1852	16
	oak	0	.	21	100	0	.	0	.	0	.	0	.	0	.	26	71	38	86	0	.	0	.	0	.	0	.	0	.	0	.	0	.	-1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	32	100	0	.	0	.	9	100	0	.	26	100	0	.	0	.	0	.	0	.	0	.	0	.	36	100	0	.	0	.	0	.	0	.	0	.	0	.	18	100	0	.	0	.	0	.	0	.	31	100	33	100	67	60	0	.	0	.	0	.	16	100	62	100	89	100	8	100	17	100	2	100	0	.	0	.	22	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	160	58	0	.	0	.	0	.	0	.	0	.	0	.	1	76	0	.	7	61	0	.	0	.	0	.	0	.	0	.	40	100	47	84	79	73	0	.	886	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	99	100	0	.	70	78	296	60	40	96	0	.	119	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	.	628	36
	other broadleaves	0	.	60	72	0	.	0	.	2	.	0	.	26	45	41	50	23	65	18	76	0	.	12	100	9	100	0	.	61	95	5	74	0	.	9	89	0	.	15	80	4	100	1	100	1	100	71	40	0	.	16	71	16	87	38	100	20	76	9	100	5	70	1	100	0	.	20	100	0	.	0	.	0	100	0	.	94	76	33	73	15	100	26	57	4	.	0	.	3	100	23	71	0	.	5	100	0	.	2	100	158	74	98	75	44	86	1	100	6	100	0	.	3	71	21	55	99	96	47	55	12	77	96	61	1	100	0	.	13	81	0	.	16	72	9	74	0	.	0	.	0	100	0	.	0	.	4	77	58	66	0	0	0	.	0	.	0	.	0	.	3	.	3	102	18	64	51	51	0	.	0	.	0	.	38	81	3	.	1	100	78	85	91	60	0	.	1659	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	.
	total	136	.	719	46	93	83	0	.	65	.	514	69	3283	20	4392	19	1631	32	969	33	69	.	194	89	315	70	0	.	392	60	1149	40	660	45	468	48	0	.	358	71	1500	25	956	36	863	40	3517	20	4127	17	663	43	449	53	917	38	760	48	422	49	1378	27	341	56	487	46	1720	33	311	72	789	43	890	35	128	.	516	51	781	41	1254	38	1128	40	83	.	64	.	654	46	262	63	89	.	322	62	360	55	140	64	810	40	316	72	209	58	212	55	460	45	388	43	161	58	374	49	574	43	956	32	463	42	311	45	178	61	108	.	286	67	430	52	611	39	400	53	0	.	0	.	317	53	0	.	0	.	1034	29	1227	35	412	53	0	.	0	.	111	.	0	.	126	.	3274	20	3462	19	2129	22	186	.	0	.	0	.	397	58	147	.	190	78	161	72	580	51	0	.	62279	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	1014	40	1461	38	442	53	2689	26	1997	30	3039	26	15404	11	7778	13	8203	14	3219	18	282	82	221	74	622	54	0	.	876	47	2589	27	3198	24	2552	27	1	100	3523	23	5204	18	2473	21	6195	17	8606	14	5168	15	2669	20	1954	29	2911	24	4438	19	209	52	1016	26	760	40	571	39	2031	29	911	37	1568	30	2453	30	1337	32	1639	39	2546	25	2022	28	2969	26	1671	26	1150	34	671	44	927	50	276	43	1355	28	2684	25	1483	31	1366	34	1135	30	978	29	782	39	1475	29	1291	31	-1	100	35	76	49	81	198	78	58	90	184	59	641	41	1153	42	1373	33	686	49	1019	36	871	32	1318	40	339	90	1244	29	349	60	530	47	1759	23	540	42	667	32	921	33	107	59	559	44	196	59	986	57	3282	17	3395	18	4762	17	627	38	892	38	1261	34	1263	30	1556	25	988	37	973	44	833	41	0	.	171616	2
	fir	221	38	62	62	202	76	1327	30	508	43	1033	33	1214	25	6720	13	4523	17	2322	20	14	72	31	71	213	59	0	.	140	75	82	85	1129	39	582	54	0	.	397	51	239	36	287	50	286	66	690	38	0	.	2634	20	1113	31	2650	20	1243	30	638	47	582	33	464	41	500	39	819	33	287	59	513	51	577	43	777	33	187	51	404	43	246	67	1130	31	55	81	469	60	381	51	301	51	375	36	321	57	663	36	560	39	158	44	291	50	272	63	0	0	65	73	93	100	0	.	0	.	31	74	313	66	283	57	59	82	474	49	0	.	186	64	347	35	387	57	517	44	133	67	0	100	543	41	275	76	448	45	154	55	347	44	378	35	381	50	203	77	241	59	151	85	61	84	131	80	303	56	502	34	255	44	131	50	403	42	1180	30	555	39	41	94	128	100	124	84	0	.	50654	4
	pine	194	44	513	51	82	50	102	65	0	.	8	100	526	56	55	59	740	33	322	42	59	100	48	71	204	46	0	.	12	100	159	75	0	.	485	54	45	65	0	.	255	56	831	33	45	100	526	35	1049	28	434	37	0	.	171	62	0	.	70	100	0	.	0	.	14	85	28	100	0	.	66	100	12	100	31	100	0	.	0	.	0	.	79	100	403	39	212	56	127	43	195	51	180	46	32	100	11	100	0	.	93	48	165	54	260	58	14	100	151	73	49	100	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	187	50	5	100	0	.	0	.	0	.	11	100	17	100	68	100	17	100	0	.	18	72	0	.	260	81	2	100	0	.	59	100	0	.	839	28	316	29	613	33	0	.	28	100	359	44	117	49	326	44	374	50	184	61	166	54	0	.	13024	7
	larch	11	78	76	61	32	73	194	54	0	.	0	.	239	47	66	71	163	56	0	.	0	.	0	.	29	71	63	.	0	.	63	100	0	.	100	86	0	.	38	100	443	40	318	36	80	63	1214	21	3883	15	17	100	4	100	3	100	0	.	0	.	0	.	0	.	34	100	0	.	0	.	0	.	0	.	0	.	0	.	183	60	40	100	0	.	44	76	0	.	0	.	0	.	0	.	0	.	0	.	40	100	0	.	22	100	0	.	225	71	312	36	190	43	154	60	0	.	153	98	429	36	304	39	408	56	0	.	0	.	63	100	125	54	0	.	0	.	0	.	0	.	0	.	0	.	21	100	0	.	2	100	0	.	31	100	0	.	0	.	0	.	0	.	3141	17	1573	20	971	23	52	100	15	100	0	.	0	.	0	.	58	100	38	100	221	53	0	.	15882	6
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	140	57	1065	23	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	391	30	168	36	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1783	16
	other conifers	6	100	0	.	10	100	16	83	0	.	3	100	0	.	0	.	211	60	0	.	0	.	0	.	0	.	30	.	0	.	0	.	0	.	35	100	0	.	1	100	0	.	0	.	0	.	0	.	3	84	1	100	24	100	97	100	0	.	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	.	137	100	6	84	-1	100	3	100	0	.	2	100	2	100	1	100	7	90	0	.	0	.	0	.	1	100	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	72	0	.	2	100	0	.	0	.	0	.	4	60	0	.	0	.	0	.	0	.	0	.	149	100	0	.	0	.	0	.	0	.	15	77	0	.	0	.	0	.	0	.	11	100	27	70	2	100	0	.	0	.	0	.	0	.	813	32
	beech	1867	25	916	28	459	35	1313	29	232	53	585	36	2180	23	2990	19	5179	15	2448	17	636	48	899	33	1077	30	0	.	271	64	621	37	633	34	1018	36	0	.	927	32	782	47	486	35	46	75	312	48	0	.	3687	17	1371	31	718	36	977	33	238	53	163	42	228	47	140	50	361	36	406	53	21	91	1446	36	444	57	908	43	679	33	644	37	1136	32	1452	21	1353	34	1103	26	732	35	1083	27	261	33	257	97	665	39	224	41	215	45	815	34	0	.	80	60	0	.	299	43	675	35	387	33	603	34	427	36	315	43	330	43	0	.	163	58	317	43	121	46	229	47	452	50	0	.	832	32	174	63	313	36	169	39	439	41	859	31	333	57	483	47	195	43	135	55	118	58	0	.	0	.	518	31	154	57	502	47	347	49	796	30	1206	28	437	48	437	40	343	38	0	.	60791	3
	maple	485	31	74	58	19	72	104	54	19	78	198	44	535	28	149	26	194	39	450	26	60	64	124	49	74	47	36	.	4	100	29	82	111	42	3	96	0	.	196	30	93	48	15	81	20	83	35	50	0	.	413	23	78	47	10	51	140	38	25	60	65	52	26	100	74	96	15	76	105	46	76	91	61	44	230	39	125	51	344	39	95	49	398	28	31	57	45	71	103	48	66	56	199	37	102	42	67	50	14	84	171	69	53	47	63	67	0	.	2	100	0	.	2	100	21	72	2	71	0	.	9	100	0	.	62	54	11	100	0	.	108	53	119	51	78	40	41	75	0	.	53	52	0	.	9	100	18	63	16	58	113	52	72	51	3	100	0	.	0	.	-2	100	3	100	2	100	89	43	67	59	79	53	52	47	215	35	118	43	15	100	97	63	118	66	0	.	7814	6
	ash	258	37	460	41	100	64	83	66	0	.	212	49	111	52	458	35	394	36	48	61	168	49	12	100	79	66	0	.	92	76	123	56	174	41	228	53	6	100	199	57	42	100	0	.	124	63	3	77	0	.	613	31	171	50	84	55	68	57	117	84	54	78	0	.	0	.	0	.	234	48	14	100	32	90	480	35	149	44	43	49	50	53	141	44	178	46	26	70	36	68	58	78	105	55	156	55	0	.	155	52	138	39	260	44	103	46	7	100	10	100	0	.	0	100	6	72	47	56	13	100	20	80	36	62	43	93	5	100	0	.	138	57	27	85	28	90	137	65	41	100	44	72	9	100	0	.	2	100	84	74	125	65	101	65	6	78	130	71	2	100	122	73	25	79	9	76	102	49	151	72	204	58	82	55	239	39	142	38	99	67	164	49	148	47	0	.	9388	7
	oak	107	65	113	54	147	62	183	39	0	.	0	.	3	82	38	58	459	22	0	.	117	78	8	100	97	57	0	.	30	73	64	69	10	67	78	80	381	53	0	.	0	.	34	100	0	.	1	100	34	100	318	48	77	55	142	71	4	100	89	57	0	.	26	100	0	.	0	.	2	100	0	.	0	.	35	100	85	72	0	.	8	73	9	100	303	40	0	.	19	71	18	100	101	50	11	100	0	.	0	.	96	56	286	56	298	34	0	.	0	.	0	.	27	68	81	78	324	38	72	68	95	54	45	94	18	103	0	.	22	100	5	80	9	100	0	.	89	79	0	.	30	100	209	68	31	72	0	.	255	45	16	100	61	59	134	44	0	.	0	.	21	100	3	66	28	89	39	39	0	.	38	100	0	.	25	100	223	54	150	45	129	63	117	59	0	.	6125	9
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	225	54	62	81	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	100	215	87	210	66	186	50	487	30	895	29	245	83	217	43	1034	29	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	100	0	.	58	59	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3888	13
	other broadleaves	247	45	188	37	141	56	89	85	3	72	18	71	381	34	164	29	383	31	69	31	141	55	63	71	35	46	0	.	76	78	100	56	12	61	124	72	3	100	103	49	38	51	66	56	175	55	374	30	75	46	312	33	63	40	56	70	38	44	91	72	13	51	27	95	16	81	29	74	32	75	20	90	40	74	2	100	173	49	168	39	113	56	89	53	37	57	16	62	37	62	106	65	110	54	76	44	18	59	135	57	226	55	126	60	115	58	25	65	82	45	49	87	219	45	309	32	597	33	243	32	186	54	266	43	72	71	40	100	15	73	78	76	151	67	27	47	45	63	37	100	36	62	49	92	6	83	7	54	66	58	8	62	152	79	46	65	89	67	3	100	16	82	201	33	48	39	279	46	19	65	74	60	25	72	56	58	56	77	62	55	98	69	122	50	0	.	9311	6
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	4411	19	3863	22	1634	28	6099	18	2760	29	5097	23	20601	10	18418	10	20447	9	8878	12	1477	34	1407	30	2429	26	128	.	1500	36	3832	23	5266	21	5206	21	435	51	5385	19	7103	16	4510	18	6971	16	12126	11	11339	11	11098	11	4856	20	6841	17	6908	17	1476	33	1892	23	1533	32	1348	33	3284	22	1977	29	2278	29	4621	23	3473	24	3272	28	4367	20	3220	25	5951	19	4175	19	3274	26	2477	24	2410	28	2431	23	2314	24	3700	24	3054	25	2472	26	2554	26	2905	23	1083	32	2391	23	1883	25	886	25	1612	23	2486	19	2117	21	1598	23	2351	22	1639	30	1209	40	2014	29	1808	28	1836	29	1749	28	2214	33	427	76	2803	23	1133	39	1375	35	2109	21	1768	28	2166	24	2461	25	986	37	1214	38	546	54	1321	46	8055	12	5842	14	7936	13	1324	33	1964	29	2540	27	3917	22	4184	21	2224	28	2246	30	2191	27	0	.	351089	1

Table citation

Abegg, M.; Ahles, P.; Allgaier Leuch, B.; Cioldi, F.; Didion, M.; Düggelin, C.; Fischer, C.; Herold, A.; Meile, R.; Rohner, B.; Rösler, E.; Speich, S.; Temperli, C.; Traub, B.,
2023: Swiss national forest inventory - Result table No. 2293019. Birmensdorf, Swiss Federal Research Institute WSL

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