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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NFI3
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 2004/06
		forest district (2024)
		AG01		AG02		AG03		AG04		AI01		AR01		BE01		BE02		BE03		BE04		BSBL01		BSBL02		BSBL03		BSBL04		FR01		FR02		FR03		FR04		GE01		GL01		GR01		GR02		GR03		GR04		GR05		JU01		LU01		LU02		LU03		NE01		NE02		NE03		NE04		NE06		NW01		OW01		OW02		SG01		SG02		SG03		SG04		SG05		SH01		SO01		SO02		SO03		SO04		SZ01		SZ02		SZ03		TG01		TG02		TG03		TI01		TI02		TI03		TI04		TI05		TI06		TI07		TI08		TI09		UR01		UR02		UR03		VD02		VD03		VD04		VD05		VD06		VD07		VD08		VD09		VD11		VD12		VD14		VD15		VD16		VD18		VD20		VD22		VS01		VS02		VS03		ZG01		ZH01		ZH02		ZH03		ZH04		ZH05		ZH06		ZH07		lakes		Switzerland
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	.	0	.	297	56	82	79	16	100	0	.	0	.	0	.	0	.	0	.	0	.	133	.	81	81	6	83	0	.	126	96	0	.	0	.	0	.	276	59	0	.	34	100	0	.	115	.	68	93	0	.	0	.	0	.	0	.	0	.	0	.	83	100	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	145	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	130	.	0	.	0	.	0	.	28	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	0	-4	.	0	.	24	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1640	24
	fir	0	.	0	.	0	.	0	.	0	.	0	.	0	0	3	100	12	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	111	100	0	.	0	.	0	.	0	.	0	.	0	0	0	.	85	100	13	.	15	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	46	91	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	317	47
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	larch	0	.	0	.	0	.	0	.	0	.	0	.	39	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	86	76	32	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	156	53
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	beech	0	.	44	100	0	.	0	.	0	.	0	.	0	.	2	100	13	100	0	.	0	.	0	.	0	.	0	.	0	.	13	.	8	100	8	100	0	.	0	.	0	.	18	.	0	.	21	100	0	.	14	100	30	.	0	.	23	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	11	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	96	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	36	.	0	.	0	.	0	.	0	.	0	.	0	.	374	34
	maple	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	26	77	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	.	10	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	77	48
	ash	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	5	100	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	37	81
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	other broadleaves	0	.	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	.	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	.	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	.	5	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	56
	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
	total	0	.	51	100	0	.	0	.	0	.	0	.	337	56	87	74	46	77	0	.	0	.	0	.	0	.	0	.	0	.	146	.	89	82	125	93	0	.	150	95	0	.	18	.	0	.	383	58	32	.	132	100	42	.	130	.	121	67	0	.	0	.	0	.	0	.	0	.	0	.	83	100	0	.	0	.	0	.	0	0	0	.	38	100	11	.	0	.	0	.	0	.	0	.	0	.	192	71	0	.	30	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	130	.	0	.	0	.	0	.	164	.	0	.	0	.	0	.	0	.	0	.	0	.	5	.	0	.	0	.	0	.	4	.	0	.	0	0	0	0	-4	.	0	.	24	100	0	.	65	.	0	.	0	.	0	.	0	.	0	.	0	.	2631	20
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	36	100	15	189	0	.	91	.	0	.	2	100	478	64	72	69	42	79	-7	117	0	.	0	.	26	.	0	.	0	.	0	.	45	96	32	100	0	.	90	100	149	91	39	100	216	64	83	96	16	100	0	.	0	.	0	.	77	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	65	92	0	.	0	.	0	.	23	84	10	.	47	100	0	.	0	.	0	.	7	.	0	.	0	.	0	.	0	.	0	.	48	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	147	81	0	.	0	.	0	.	0	.	1	.	2	.	0	.	0	.	0	.	0	.	0	.	0	.	53	.	65	83	0	.	0	.	0	.	0	.	-3	426	31	73	81	90	1	.	0	.	91	100	0	.	0	.	0	.	60	100	16	82	0	.	2248	21
	fir	0	.	23	100	0	.	26	.	0	.	0	.	17	100	100	86	36	154	37	71	0	.	10	100	0	.	0	.	0	.	0	.	0	0	0	.	0	.	111	74	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	1	380	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	77	74	30	.	0	.	0	.	0	.	0	.	9	100	0	.	0	.	0	.	0	.	0	.	0	.	12	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	.	0	.	0	.	0	.	0	.	16	100	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	146	98	0	.	0	.	0	.	0	.	0	.	0	.	660	32
	pine	0	.	12	100	0	.	0	.	0	.	0	.	0	.	0	.	68	100	0	.	47	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	40	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	.	24	100	0	.	0	.	0	.	0	.	29	100	0	.	0	.	0	.	0	.	17	100	0	.	86	100	0	.	0	.	37	100	0	.	359	38
	larch	0	.	21	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	33	100	0	.	37	100	68	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	.	4	.	0	.	0	.	0	.	49	.	0	.	0	.	0	.	0	.	0	.	22	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	100	0	.	0	.	0	.	0	.	244	54	2	100	63	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	564	31
	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	100	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	66	91
	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	.	13	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	100
	beech	468	44	50	66	0	.	27	.	0	.	0	.	71	97	55	64	139	53	84	64	144	72	4	100	125	.	0	.	55	.	5	.	0	.	0	.	0	.	92	99	0	.	0	.	0	.	0	.	0	.	0	0	147	64	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	.	28	100	0	.	1	.	0	.	75	72	0	.	51	100	0	.	0	.	0	.	0	.	0	.	0	.	36	.	0	.	0	.	0	.	0	.	36	100	14	.	15	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	21	.	50	97	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	79	71	0	.	125	78	4	100	5	100	102	99	0	.	2119	18
	maple	38	100	40	60	0	.	0	.	0	.	2	100	0	.	0	.	5	100	21	81	14	100	0	.	0	.	0	.	0	.	0	.	8	100	4	100	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	9	77	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	.	0	.	0	.	0	.	0	.	14	.	0	.	0	.	0	.	0	.	0	.	0	.	2	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	8	100	10	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	197	29
	ash	20	100	0	.	0	.	0	.	0	.	1	100	4	100	0	.	6	100	0	.	0	.	0	.	0	.	0	.	26	.	0	.	21	100	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	61	100	3	.	0	.	43	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	45	100	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	.	0	.	0	.	0	.	24	100	0	.	278	36
	oak	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	.	17	100	0	.	32	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	64	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	100	0	.	0	.	0	.	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	100	0	.	28	100	0	.	233	38
	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	.	40	100	11	100	39	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	90	63
	other broadleaves	2	100	23	66	0	.	0	.	0	.	9	100	12	74	8	100	9	100	0	0	15	85	1	100	2	.	0	.	13	.	0	.	0	.	3	100	0	.	0	.	4	100	0	.	17	100	0	.	0	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	.	0	.	0	.	57	.	0	.	0	.	0	.	0	.	0	.	5	.	0	.	0	.	0	.	0	.	0	.	3	100	1	100	0	.	5	.	0	.	0	.	0	.	0	.	0	.	0	.	3	100	0	.	235	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
	total	564	45	202	47	0	.	144	.	0	.	13	100	582	55	236	60	321	54	136	66	253	61	15	100	153	.	0	.	94	.	5	.	75	87	38	100	0	.	298	70	193	74	76	67	233	60	120	97	89	71	18	100	217	71	3	.	82	103	43	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	.	177	83	30	.	1	.	0	.	208	63	10	.	107	100	0	.	47	.	0	.	7	.	0	.	0	.	62	.	0	.	0	.	52	.	51	82	52	76	53	.	66	.	0	.	0	.	0	.	147	81	0	.	22	.	0	.	1	.	4	.	2	.	57	.	0	.	0	.	19	100	0	.	0	.	82	.	187	83	0	.	0	.	0	.	0	.	351	44	50	62	151	67	16	.	0	.	333	63	3	.	210	71	26	86	65	100	209	71	0	.	7064	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	97	78	251	56	117	95	41	100	0	.	135	87	542	40	145	78	590	32	156	100	0	.	22	.	0	.	0	.	90	100	414	53	46	100	239	65	0	.	111	66	190	79	305	59	103	77	633	35	106	80	86	69	251	59	345	48	429	61	-2	100	216	83	7	100	0	.	0	.	125	100	97	100	18	.	75	91	235	88	49	65	3	.	71	74	137	85	63	68	14	100	0	.	0	.	26	85	239	70	0	.	358	69	78	98	510	67	5	100	65	59	0	.	0	.	0	.	0	.	9	100	19	100	0	0	15	.	2	.	32	.	24	100	14	82	0	.	100	100	31	73	92	100	19	.	2	100	0	.	108	79	154	.	0	.	116	100	0	.	0	.	0	.	188	63	473	70	260	57	123	84	125	76	256	71	556	54	157	100	77	100	0	.	127	60	0	.	10914	10
	fir	0	.	0	.	30	82	10	74	0	.	50	90	0	.	36	95	160	64	0	.	0	.	0	.	0	.	0	.	15	100	41	100	74	100	72	100	0	.	0	.	26	100	28	100	25	100	58	98	6	100	227	86	69	69	129	65	15	100	32	77	18	100	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	27	.	117	71	36	100	79	65	87	100	0	.	12	.	13	100	76	100	0	.	54	91	60	71	82	100	0	.	0	.	0	.	0	.	0	.	0	.	151	99	0	.	57	100	5	.	0	.	0	.	20	100	0	.	0	.	20	72	32	100	0	.	0	.	41	100	0	.	10	100	13	.	0	.	12	100	0	.	0	.	0	.	11	100	0	.	9	77	20	100	0	.	0	.	0	.	0	.	8	100	5	100	7	100	0	.	2187	17
	pine	0	.	27	74	0	.	0	.	0	.	0	.	0	.	11	100	39	83	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	15	94	57	100	0	.	118	65	149	56	33	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	88	69	0	.	0	.	10	100	0	.	0	.	0	.	0	.	6	100	0	.	45	90	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	.	233	68	153	49	0	.	0	.	0	.	51	100	44	100	0	.	30	100	0	.	0	.	0	.	1131	22
	larch	7	100	6	100	0	.	30	100	0	.	0	.	-11	100	0	.	46	100	0	.	0	.	0	.	0	.	0	.	0	.	34	100	0	.	0	.	0	.	0	.	1	100	0	.	119	75	98	71	60	53	0	.	2	100	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	.	0	.	22	100	0	.	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	100	0	.	0	.	0	.	47	64	23	.	23	100	0	.	0	.	171	46	0	.	0	.	0	.	0	.	0	.	70	61	0	.	0	.	0	.	16	100	0	.	0	.	0	.	0	.	11	100	0	.	0	.	0	.	0	.	0	.	0	.	192	41	56	52	37	60	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	1095	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	.	47	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	84	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	131	73
	other conifers	29	76	0	.	0	.	15	86	0	.	0	.	0	.	0	.	23	61	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	0	.	8	51	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	69	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	42	100	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	30	100	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	0	.	257	36
	beech	23	63	83	79	55	86	206	82	0	.	8	100	220	100	69	57	107	49	84	100	0	.	5	.	104	.	0	.	13	100	34	100	9	75	0	.	0	.	0	.	3	100	0	.	0	.	89	61	0	.	182	62	7	74	86	71	0	.	-5	133	9	100	0	.	3	100	0	.	5	100	10	100	0	.	53	100	6	100	28	100	10	.	5	100	5	77	24	82	29	95	4	71	28	.	66	71	13	100	0	.	3	465	0	.	6	71	0	.	56	71	0	.	203	67	181	97	28	100	262	68	126	84	33	71	6	.	0	.	0	.	14	100	0	.	0	.	21	107	23	164	0	.	0	.	11	82	0	.	0	0	1	.	0	.	9	84	0	.	0	.	0	.	0	.	0	.	154	61	0	.	0	.	7	84	0	.	0	.	16	100	4	100	73	94	0	.	2915	17
	maple	0	.	21	78	-9	217	0	.	0	.	0	.	12	64	18	162	58	59	2	100	0	.	0	.	0	.	0	.	31	100	0	.	31	94	15	100	0	.	37	61	2	100	0	.	11	100	37	60	0	.	19	76	22	100	0	.	6	71	5	100	0	7049	16	100	3	100	0	.	0	.	0	.	0	.	17	71	49	100	0	.	1	.	0	.	21	70	14	72	12	75	12	100	0	.	23	86	0	.	9	.	62	52	17	79	24	100	11	100	36	100	0	.	9	100	15	100	5	77	2	70	0	.	0	.	44	.	11	.	0	.	0	.	44	71	7	.	9	100	0	.	19	100	0	.	1	100	0	.	2	100	0	.	0	.	0	.	12	.	0	.	0	.	0	.	1	100	41	48	0	.	0	.	9	100	39	100	0	.	111	70	0	.	78	65	0	.	1107	15
	ash	6	94	15	100	30	60	0	.	0	.	0	.	0	.	28	100	6	91	0	.	0	.	0	.	0	.	0	.	0	.	0	.	38	71	4	100	0	.	16	71	0	.	4	100	0	.	29	60	0	.	47	100	7	100	9	100	9	100	-9	100	21	100	0	.	1	100	0	.	9	100	0	.	0	.	12	100	110	70	0	.	0	.	48	100	21	100	6	100	7	100	36	100	0	.	91	61	0	.	0	.	151	93	54	96	34	100	10	100	0	.	0	.	0	.	9	100	16	82	54	78	0	.	0	.	0	.	23	.	0	.	9	100	2	100	9	.	7	100	6	71	45	100	0	.	0	.	0	.	0	.	0	.	0	.	21	88	0	.	0	.	0	.	20	71	30	100	14	74	12	100	0	.	127	83	26	66	4	100	0	.	0	.	0	.	0	.	1283	19
	oak	84	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	83	0	.	0	.	0	.	0	.	0	.	0	0	0	.	19	100	5	100	0	.	0	.	0	.	0	.	0	.	1	100	0	.	2	100	0	.	0	.	0	.	48	100	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	100	7	.	0	.	0	.	0	.	1	100	29	100	14	100	0	.	0	.	0	.	4	100	26	62	35	75	78	88	0	.	63	86	0	.	0	.	0	.	0	.	12	100	0	.	0	.	0	.	0	.	0	.	13	100	0	.	0	.	0	.	0	.	98	73	0	.	0	.	0	.	9	83	65	94	13	72	0	.	0	.	0	.	0	.	0	.	8	73	0	.	0	.	0	.	662	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	.	162	91	0	.	0	.	0	.	0	.	0	.	0	.	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	240	0	.	313	60	49	100	59	67	18	89	51	100	388	46	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1066	29
	other broadleaves	-9	100	25	71	20	86	0	.	0	.	0	.	16	54	4	74	86	82	1	100	0	.	0	.	0	.	0	.	0	.	12	72	8	77	47	74	0	.	44	75	5	100	8	100	142	61	316	47	122	69	24	54	14	82	31	100	21	80	0	.	4	100	2	100	5	100	0	.	0	.	13	100	2	.	0	.	9	70	2	178	0	.	0	.	7	72	13	100	0	.	59	90	0	.	67	67	0	.	59	.	8	85	10	90	3	72	85	81	68	55	0	.	132	55	179	60	163	53	156	37	122	82	24	68	4	.	39	.	1	.	103	100	16	72	0	.	6	100	22	100	9	85	0	.	0	.	0	.	0	.	0	.	0	.	25	100	2	.	0	.	0	.	94	51	102	45	157	39	2	100	0	.	-6	100	12	100	0	.	4	100	3	100	8	100	0	.	2728	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
	total	237	58	428	49	243	55	302	63	0	.	193	75	779	43	312	54	1135	27	249	73	0	.	27	.	104	.	0	.	150	83	536	48	226	54	393	58	0	.	208	58	249	66	402	54	401	40	1541	25	499	40	623	51	372	49	603	44	479	59	69	72	268	69	24	100	17	71	0	.	143	88	120	92	28	.	157	71	432	63	79	55	41	.	240	71	386	49	199	53	148	94	124	63	47	.	286	56	327	67	68	.	655	53	247	64	726	52	112	65	268	34	23	.	684	37	459	49	305	40	942	33	318	55	565	39	73	.	75	.	33	.	239	71	94	65	16	.	162	77	161	75	165	86	19	.	71	77	0	.	131	76	169	.	0	.	280	60	14	.	0	.	0	.	839	34	881	42	716	33	157	80	125	76	460	60	676	48	160	98	254	61	11	72	293	53	0	.	25476	6
young timber	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	20	100	0	100	0	.	0	.	0	.	458	75	596	39	570	48	1015	43	537	38	2	.	105	72	115	87	0	.	54	.	596	62	15	100	81	100	0	.	1097	68	330	60	352	53	0	.	749	44	117	50	460	54	114	73	271	64	628	54	107	100	78	.	0	.	3	.	0	.	271	67	0	.	258	100	422	39	21	.	284	70	0	.	405	65	803	45	178	73	23	100	80	74	122	99	16	.	69	89	0	.	42	100	317	67	163	83	0	.	236	71	0	.	0	.	31	100	0	.	0	.	8	100	34	60	20	96	0	.	19	.	0	.	51	100	56	82	74	78	30	.	150	75	26	.	0	.	670	41	0	.	45	100	69	.	22	.	80	.	0	.	0	.	453	41	528	44	428	54	129	.	103	77	31	100	0	0	237	67	16	.	0	.	258	59	0	.	15747	10
	fir	188	77	0	.	0	.	0	.	0	.	10	100	37	100	226	55	53	52	509	41	0	.	0	.	10	74	0	.	0	.	25	73	33	100	96	100	0	.	14	100	44	100	4	100	0	.	20	100	0	.	442	62	98	100	221	62	56	100	43	84	57	.	0	.	0	.	0	.	12	58	0	.	0	.	194	51	0	.	4	100	0	.	177	73	0	.	0	.	0	0	0	.	33	81	7	.	35	96	113	.	66	71	34	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	171	58	0	.	0	.	0	.	11	100	156	73	13	100	0	.	114	107	3	.	0	.	51	76	0	.	49	96	41	.	0	.	190	.	24	.	0	.	106	100	70	89	5	87	18	.	0	.	0	.	24	100	65	76	0	.	0	.	17	100	0	.	3990	15
	pine	0	.	0	.	19	.	0	.	0	.	0	.	0	.	30	100	55	60	186	90	0	.	29	59	24	100	0	.	0	.	0	.	0	.	0	.	91	100	0	.	43	76	61	100	0	.	163	93	86	71	171	60	0	.	17	100	0	.	114	100	0	.	0	.	0	.	0	.	0	.	0	.	19	100	0	.	0	.	0	.	0	.	0	.	60	74	0	.	9	100	0	.	14	100	0	.	0	.	0	.	0	.	2	100	25	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	100	0	.	0	.	0	.	0	.	30	.	0	.	288	50	28	80	240	57	0	.	68	100	70	100	0	.	0	.	59	.	0	.	0	.	0	.	2009	19
	larch	0	.	0	.	65	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	199	54	0	.	148	87	52	62	0	.	0	.	19	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	34	84	0	.	0	.	21	100	0	.	0	.	14	100	0	.	0	.	0	.	0	.	0	.	40	100	0	.	0	.	6	100	0	.	26	100	0	.	0	.	134	75	87	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	420	36	402	45	79	65	0	.	0	.	0	.	0	.	0	.	0	.	0	.	61	72	0	.	1806	19
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	92	87	87	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	135	61
	other conifers	0	.	0	.	0	.	3	.	0	.	0	.	0	.	0	.	240	65	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	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	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	282	56
	beech	11	109	85	73	0	.	1	.	0	.	23	90	84	70	117	60	604	38	1509	27	25	.	144	59	439	56	0	.	0	.	373	58	152	66	0	.	0	.	291	74	24	100	24	98	0	.	145	74	0	.	380	40	131	59	196	95	5	100	0	.	5	.	0	.	35	.	0	.	78	100	0	.	176	100	178	65	12	.	138	68	246	74	621	47	759	40	114	63	261	55	89	71	247	65	18	.	0	0	65	.	50	71	14	100	70	73	0	.	0	.	0	.	0	.	138	73	244	50	44	100	363	68	136	60	126	63	0	.	89	.	0	.	18	100	40	100	0	.	9	.	0	.	0	.	0	.	46	63	0	.	449	51	27	.	0	.	0	.	39	.	0	.	0	.	0	.	219	65	0	.	53	70	70	100	7	79	77	87	0	.	23	.	91	62	0	.	10244	10
	maple	12	100	29	77	0	.	9	.	0	.	41	100	48	71	76	59	8	100	116	59	25	.	4	100	8	100	0	.	0	.	2	100	65	77	0	.	0	.	133	69	0	.	2	100	5	100	2	100	0	.	59	48	0	.	12	100	24	85	0	.	0	.	0	.	0	.	0	.	25	72	0	.	0	.	153	52	24	.	50	100	36	100	153	51	0	.	35	92	37	63	39	95	62	64	0	.	9	100	0	.	0	.	0	.	0	.	0	.	0	.	11	.	0	.	0	.	7	84	0	.	0	.	0	.	44	54	0	.	0	.	0	.	82	85	24	100	5	100	0	.	4	100	0	.	0	.	0	.	7	100	13	100	0	.	4	.	0	.	0	.	0	.	0	.	0	.	14	73	0	.	24	91	18	100	21	100	9	100	0	.	39	.	0	.	0	.	1630	14
	ash	0	0	144	84	0	.	0	.	0	.	34	100	0	.	62	100	133	55	33	100	137	.	3	100	0	.	0	.	4	.	239	69	237	65	202	100	0	.	467	89	0	.	12	100	38	80	54	97	0	.	271	44	22	100	19	77	5	100	0	.	0	.	0	.	0	.	0	.	234	93	0	.	0	.	385	42	56	.	0	.	61	76	55	100	37	86	31	85	23	93	7	138	0	.	0	.	0	.	0	.	11	100	11	100	38	72	0	.	96	100	0	.	6	100	0	.	13	212	0	.	-32	100	60	62	93	90	0	.	0	.	0	.	43	100	0	.	0	.	-4	.	0	.	0	.	0	.	0	.	0	.	113	73	0	.	11	.	0	.	0	.	0	.	7	100	10	100	37	100	0	.	46	71	41	73	25	100	10	100	0	.	49	.	0	.	0	.	3690	18
	oak	0	.	0	.	0	.	8	.	0	.	0	.	6	100	0	.	114	62	0	.	0	.	0	.	0	.	0	.	0	.	56	100	13	79	9	100	259	63	0	.	0	.	0	.	0	.	0	.	0	.	52	89	0	0	48	100	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	100	0	.	41	68	0	.	9	100	14	100	13	100	0	.	0	.	0	.	0	.	17	100	0	.	0	.	0	.	0	.	4	100	8	100	187	48	0	.	56	58	-2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	240	61	0	.	0	.	80	.	0	.	31	.	0	.	4	100	34	100	7	81	0	.	23	100	10	100	0	.	0	.	16	.	0	.	0	.	0	.	1364	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	.	81	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	.	70	93	104	75	517	49	0	.	67	89	516	48	0	.	0	.	0	.	0	.	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	.	1383	27
	other broadleaves	0	.	9	100	17	.	77	.	0	.	4	100	6	73	34	96	162	50	47	63	21	.	19	93	8	100	0	.	0	.	2	100	4	100	0	.	5	100	234	90	14	100	44	60	83	74	193	50	141	69	198	62	9	100	0	.	2	100	0	.	2	.	0	.	0	.	0	.	5	100	0	.	0	0	1	100	0	.	23	74	181	64	14	100	67	90	21	73	36	91	28	90	0	.	2	.	2	100	0	.	0	.	0	.	0	0	0	.	11	100	67	.	34	71	16	100	468	43	1	100	174	92	285	47	22	71	0	.	0	.	0	.	0	0	0	.	9	100	0	.	8	100	0	.	0	.	4	100	0	.	6	100	0	.	67	.	0	.	0	.	0	.	150	68	11	64	12	89	0	.	130	66	59	100	6	100	0	.	10	.	0	.	7	100	0	.	3271	15
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0
	total	232	71	266	59	102	.	98	.	0	.	570	71	778	38	1114	35	2384	27	2938	24	210	.	303	50	605	57	0	.	58	.	1294	40	519	54	388	71	355	59	2238	51	455	51	699	42	126	71	1555	30	415	37	2033	30	372	58	819	52	719	55	266	71	142	.	0	.	38	.	0	.	625	51	0	.	453	72	1334	37	113	.	532	56	536	60	1424	42	1788	33	378	57	397	51	286	50	491	58	42	.	115	91	178	.	169	73	435	61	295	60	0	.	349	58	78	.	140	67	298	66	1436	28	179	79	722	51	1031	34	476	55	0	.	108	.	0	.	206	82	277	79	101	75	34	.	276	67	29	.	0	.	771	40	255	62	674	46	136	.	183	.	270	.	124	.	0	.	1483	28	1170	32	1043	36	147	.	447	58	299	65	84	72	398	55	101	.	111	.	433	59	0	.	45551	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	113	66	60	52	115	67	149	63	472	51	493	57	3586	22	1364	36	1091	36	1637	24	0	.	16	92	564	72	0	.	202	90	840	48	685	48	654	55	0	.	434	54	1044	41	899	39	1537	34	1750	30	2477	23	1303	35	243	74	205	57	1050	44	0	.	484	50	275	59	0	.	123	87	401	57	218	.	41	100	493	74	336	71	378	54	184	83	339	47	531	40	0	.	413	57	133	100	97	46	256	62	536	63	533	53	171	71	118	71	415	54	0	.	252	58	953	43	0	.	0	.	0	.	0	.	0	.	23	100	264	84	378	.	899	53	424	92	642	55	228	72	259	71	73	.	277	62	223	100	91	68	843	32	0	.	412	48	132	100	114	85	230	75	88	.	0	.	677	55	1225	35	1987	27	25	100	460	62	280	61	421	43	614	47	55	100	464	66	45	81	0	.	42519	6
	fir	0	0	0	.	65	100	474	52	130	67	312	54	163	56	660	40	787	40	1514	31	16	75	40	100	236	71	0	.	136	100	61	100	94	78	110	100	0	.	17	100	50	100	154	69	0	0	101	99	0	.	1281	32	233	70	571	55	400	46	0	.	172	53	70	79	0	.	100	79	271	59	0	.	81	100	328	63	0	.	223	60	85	100	260	67	66	94	0	.	141	87	123	58	246	40	0	.	119	58	117	61	239	89	0	.	19	100	0	.	97	73	0	.	0	.	0	.	0	.	0	.	158	70	80	100	10	81	0	.	167	77	123	68	119	66	318	52	2	100	0	.	112	58	79	100	235	73	10	100	5	89	227	47	4	100	256	82	156	90	43	.	33	.	0	.	177	93	239	57	22	100	56	89	189	59	185	55	154	62	77	100	0	.	0	.	0	.	13602	9
	pine	0	0	274	84	21	100	10	100	0	.	0	.	154	71	27	100	110	84	172	45	0	.	36	100	39	72	0	.	0	.	13	100	0	.	162	89	14	.	0	.	129	72	67	100	0	.	170	66	814	44	108	82	0	.	80	100	0	.	0	.	27	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	40	100	186	60	0	.	83	58	28	100	71	58	0	.	0	.	0	.	17	100	76	100	153	92	0	.	61	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	153	75	0	.	0	.	0	.	0	.	14	.	9	100	0	.	36	100	0	.	0	.	0	.	69	100	0	.	0	.	0	.	0	.	57	86	22	100	145	69	0	.	0	.	135	54	31	80	42	100	25	76	47	100	17	100	0	.	3944	15
	larch	15	100	36	100	0	.	137	100	0	.	0	.	0	0	15	100	52	100	0	.	0	.	0	.	27	100	0	.	0	.	0	.	0	.	39	71	0	.	0	.	82	85	16	100	25	100	426	43	1258	30	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	.	0	.	33	.	183	81	62	61	0	.	0	.	17	100	91	.	140	74	185	100	0	.	0	.	0	.	21	75	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	249	39	411	48	317	46	55	100	21	100	0	.	0	.	0	.	33	100	0	.	61	100	0	.	4039	15
	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	.	42	87	203	56	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	285	43
	other conifers	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	73	100	2	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	.	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	.	12	65	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	1	100	0	.	5	100	0	.	0	.	0	.	0	.	101	73
	beech	641	47	109	80	198	55	361	49	37	71	89	79	481	43	275	42	1541	30	1019	27	151	90	664	49	293	50	0	.	11	77	73	84	192	63	802	41	0	.	613	44	164	68	119	57	0	.	27	100	0	.	1259	29	265	71	156	59	252	57	149	74	93	50	45	67	0	.	104	81	294	48	0	.	2	100	303	78	632	60	130	48	8	100	689	61	744	35	361	81	629	34	393	51	938	36	34	100	0	.	309	50	126	66	86	74	252	56	0	.	30	100	0	.	0	.	0	.	107	85	0	.	197	53	206	62	82	100	0	.	16	100	186	87	99	76	152	65	73	71	0	.	544	42	122	100	148	64	94	53	142	73	386	47	200	97	538	46	131	66	74	.	12	.	0	.	0	.	125	83	55	62	281	58	107	59	460	48	256	53	81	100	77	65	19	100	0	.	21112	7
	maple	128	45	61	88	0	.	52	68	7	100	0	.	306	38	70	57	122	53	278	39	21	100	77	64	99	61	0	.	29	100	26	100	4	73	10	100	0	.	33	66	6	100	0	.	0	.	0	.	0	.	255	31	0	.	0	.	29	87	17	100	61	64	0	.	0	.	0	.	95	40	0	.	0	.	38	100	9	100	190	48	1	100	248	63	21	100	4	100	48	48	62	63	233	51	32	96	5	100	0	.	18	79	13	100	64	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	40	100	0	.	17	100	0	.	0	.	50	71	11	142	59	60	2	100	0	.	58	65	0	.	11	100	20	72	9	100	35	92	3	100	0	.	0	.	0	.	10	.	0	.	0	.	101	55	72	60	77	55	26	72	55	83	47	60	0	.	61	100	58	100	0	.	3592	10
	ash	107	58	150	67	110	69	20	73	0	.	67	89	98	82	51	52	188	51	45	77	31	100	23	72	94	71	0	.	0	.	23	100	0	.	99	59	0	.	111	81	0	.	0	.	0	.	3	100	0	.	420	59	482	101	21	88	22	100	0	.	9	100	0	.	0	.	0	.	200	69	0	.	0	.	88	62	60	83	84	55	129	100	104	71	7	100	34	78	18	100	80	85	168	71	0	.	0	.	152	100	36	71	51	77	1	100	0	.	0	.	0	.	0	.	0	.	98	100	0	.	32	83	0	.	9	100	0	.	0	.	170	61	19	100	30	100	0	.	0	.	12	100	0	.	0	.	7	100	0	.	0	.	36	100	26	100	209	73	0	.	16	.	0	.	0	.	12	100	38	100	85	61	12	100	57	65	148	50	3	100	104	75	95	100	0	.	4606	16
	oak	12	100	0	.	0	.	33	100	0	.	0	.	0	.	0	.	152	41	0	.	0	.	3	100	54	81	0	.	0	.	0	.	0	.	54	100	134	.	0	.	0	.	0	.	0	.	0	.	0	.	45	79	120	81	0	.	0	.	16	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	32	100	0	.	0	.	0	.	79	100	0	.	10	100	0	.	48	54	0	.	0	.	0	.	0	.	96	72	128	65	0	.	0	.	0	.	0	.	9	.	140	75	0	.	42	73	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	100	0	.	7	100	0	.	51	71	0	.	0	.	16	100	0	.	89	77	0	.	0	.	0	.	0	.	0	.	17	100	0	.	0	.	22	71	0	.	0	.	12	100	16	100	38	100	0	.	1495	19
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	122	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	.	16	100	15	100	0	.	48	.	202	69	0	.	104	63	0	.	0	.	0	.	0	.	0	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	512	35
	other broadleaves	78	71	0	.	19	83	11	100	3	71	0	.	119	73	24	52	50	78	47	46	37	100	36	80	39	60	0	.	20	72	56	91	0	.	34	72	0	.	52	100	2	100	0	.	4	100	137	58	5	100	59	41	69	100	0	.	0	.	0	.	10	74	0	.	0	.	0	.	44	71	0	.	1	100	1	100	17	100	16	65	41	100	119	71	16	82	0	.	18	78	64	84	19	66	0	.	0	.	3	100	0	.	55	71	46	100	0	.	31	73	1	100	0	.	0	.	166	61	0	.	32	93	0	0	8	100	0	.	3	100	67	89	3	100	8	100	3	100	0	.	16	89	0	.	1	100	9	63	1	100	0	.	0	.	16	79	125	71	6	.	0	.	2	100	11	100	157	52	0	.	14	100	26	71	4	100	0	.	0	.	160	82	7	100	0	.	2250	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	.	0	0
	total	1093	37	689	50	529	52	1247	39	649	45	966	47	4906	19	2487	29	4167	22	4714	20	256	71	895	47	1446	44	0	.	398	65	1092	45	975	41	1966	31	148	.	1261	40	1478	33	1255	37	1566	34	2779	26	4756	19	4730	20	1412	53	1033	45	1754	34	182	77	856	39	391	58	0	.	327	58	1305	38	218	.	126	99	1251	46	1086	45	1021	34	448	60	1797	46	1669	32	399	78	1360	31	887	45	1821	30	322	58	660	61	1114	41	606	57	494	58	1078	44	33	.	670	43	1031	43	0	.	58	.	730	43	91	.	745	36	495	55	390	65	378	.	1238	44	1041	49	899	50	796	51	360	62	87	.	1047	38	436	71	574	51	983	32	157	71	1076	38	443	59	1040	44	852	52	210	.	71	.	1025	40	1845	31	3100	24	267	60	995	47	799	45	1211	41	1267	37	286	71	928	52	339	71	0	.	98057	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	274	68	89	74	307	99	1167	45	1876	34	1608	34	3773	25	3426	20	3602	22	366	47	0	.	187	100	0	.	0	.	538	60	350	69	820	51	695	45	0	.	1630	40	3707	26	641	45	3161	25	4617	22	1926	27	955	34	729	54	1560	34	2640	34	53	.	352	39	507	55	363	53	566	65	326	72	191	.	1443	39	263	73	401	60	1125	43	1687	35	2004	40	384	59	764	51	0	.	39	100	80	100	1540	31	1493	39	718	50	166	59	650	44	385	44	456	57	344	77	337	69	0	.	0	.	0	.	174	100	0	.	128	100	266	58	424	60	477	61	474	46	144	64	405	60	696	69	0	.	459	42	42	77	384	81	37	100	471	51	58	.	704	45	0	.	341	74	71	.	449	76	1506	30	490	52	1696	35	155	88	366	52	0	.	281	69	687	43	842	50	206	82	50	80	0	.	69760	5
	fir	174	53	82	74	0	0	631	43	359	49	982	44	851	39	3867	20	3018	22	192	75	0	.	7	100	0	.	0	.	82	100	187	89	543	58	241	99	0	.	161	91	53	60	169	88	208	71	521	50	0	.	1223	36	704	46	1960	28	545	41	0	.	650	51	238	47	259	69	206	78	0	.	77	.	715	43	213	66	69	100	176	78	424	54	762	45	3	100	385	58	136	.	10	100	25	100	423	55	391	54	243	58	35	100	272	66	330	72	0	.	0	.	146	100	0	.	0	.	30	.	0	.	111	100	0	.	128	100	0	.	64	100	246	52	310	71	113	100	0	.	0	.	469	54	160	100	73	100	130	100	337	55	17	.	173	69	100	.	170	99	0	.	75	100	0	.	164	100	88	97	125	58	105	61	0	.	333	66	253	53	0	.	0	.	121	100	0	.	26841	7
	pine	18	100	94	78	0	.	56	100	0	.	14	100	268	100	0	.	283	41	17	100	0	.	0	.	0	.	0	.	17	100	170	80	0	.	0	.	10	.	0	.	0	.	289	47	47	100	71	100	130	62	121	58	0	.	99	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	36	100	0	.	0	.	0	.	0	.	17	100	62	84	0	.	0	.	81	71	66	100	8	100	0	.	50	100	54	60	26	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	.	26	100	0	.	137	100	0	.	0	.	0	.	14	100	206	47	34	100	198	71	44	100	0	.	2761	17
	larch	0	.	0	.	0	.	61	71	0	.	0	.	80	100	0	.	37	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	49	100	325	49	134	72	14	100	504	37	2124	25	20	100	0	.	0	.	0	.	0	.	0	.	0	.	42	100	0	.	0	.	0	.	0	.	11	100	0	.	104	82	43	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	52	100	0	.	0	.	0	.	196	83	10	100	0	.	99	86	0	.	0	.	110	100	128	59	269	77	0	.	0	.	0	.	190	61	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	36	100	0	.	0	.	0	.	0	.	2197	25	512	53	406	41	0	.	0	.	0	.	0	.	0	.	0	.	19	100	109	100	0	.	7881	12
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	100	0	.	0	.	118	72	71	51	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	197	55	33	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	430	33
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	70	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	44	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	240	100	4	100	0	.	0	.	0	.	0	.	0	.	3	.	0	.	0	.	0	.	0	.	3	100	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	.	141	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	507	57
	beech	432	44	435	45	243	65	1512	35	190	57	319	47	1332	38	1622	36	2205	23	203	52	130	71	195	62	237	71	0	.	142	89	176	67	210	61	356	75	0	.	195	64	319	75	217	50	44	71	120	87	0	.	1361	28	399	50	419	38	941	39	47	.	125	55	169	54	61	67	95	75	0	.	0	.	1086	34	115	75	563	62	439	51	687	46	208	58	455	47	773	43	34	.	386	58	175	71	224	40	268	92	426	58	143	63	195	57	565	48	0	.	0	.	0	.	224	67	0	.	0	.	95	100	56	72	4	100	213	84	0	.	61	82	211	64	32	73	42	100	331	72	0	.	412	48	5	100	10	100	63	76	318	51	95	.	123	69	25	.	84	70	58	.	81	72	0	.	0	.	25	100	195	61	113	61	132	.	398	52	520	41	514	53	268	55	88	58	0	.	25985	6
	maple	111	60	2	100	46	76	17	71	40	83	94	69	98	61	54	62	55	62	93	66	65	100	23	100	43	92	0	.	0	.	3	100	10	72	1	100	0	.	57	47	41	96	4	73	0	.	0	.	0	.	144	47	32	71	42	50	178	68	0	.	47	83	27	100	110	98	0	.	8	100	0	.	69	45	36	100	16	95	71	81	109	56	90	58	0	.	46	76	15	.	0	.	0	.	84	46	52	81	23	71	180	81	7	100	18	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	15	100	0	.	0	.	11	78	0	.	29	100	0	.	0	.	9	100	0	.	0	.	0	.	34	54	0	.	122	73	0	.	0	.	0	.	20	100	0	.	10	100	30	76	0	.	84	79	0	.	90	51	60	66	0	0	17	83	0	.	0	.	2793	12
	ash	142	65	8	100	0	.	53	100	0	.	0	0	7	100	331	60	198	45	46	78	52	100	0	.	-1	100	0	.	92	100	25	100	46	100	0	.	43	.	21	74	36	85	0	0	0	.	0	.	0	.	216	43	105	65	105	90	40	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	84	128	100	84	65	27	100	0	0	13	84	62	78	0	.	0	.	56	100	0	.	239	77	0	.	78	84	109	64	367	54	213	48	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	11	100	12	100	0	.	164	71	0	.	0	.	60	100	0	.	0	.	23	100	0	.	91	77	0	.	0	.	0	.	160	100	-2	100	0	.	13	100	129	100	237	72	0	.	72	77	26	100	0	.	22	100	85	80	0	.	4085	14
	oak	39	58	43	100	0	.	217	56	0	.	0	.	0	.	51	94	159	42	0	.	91	100	0	.	0	.	0	.	36	100	0	.	0	.	0	.	205	.	0	.	0	.	50	100	0	.	0	.	0	.	215	55	7	100	162	100	0	.	0	.	0	.	33	100	0	.	0	.	0	.	0	.	0	.	18	100	35	100	0	.	11	100	11	100	35	74	0	.	0	.	0	.	88	100	15	100	0	.	0	.	86	59	337	81	130	52	0	.	0	.	0	.	4	100	0	.	0	.	13	100	0	.	0	.	37	100	0	.	0	.	0	.	0	.	0	.	85	100	0	.	0	.	133	73	0	.	0	.	74	87	0	.	25	63	0	.	19	100	0	.	0	.	0	.	0	.	3	100	0	.	0	.	0	.	0	.	151	53	24	100	164	68	15	100	0	.	2819	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	163	94	0	0	0	.	0	.	43	.	237	87	0	.	430	59	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	.	881	41
	other broadleaves	109	64	12	100	54	100	19	71	0	.	45	100	270	46	36	71	86	68	9	67	2	100	0	.	0	0	0	.	0	.	154	100	0	0	0	.	0	.	0	.	13	70	27	100	0	.	24	100	5	72	62	54	0	.	7	61	0	0	0	.	13	92	0	.	14	72	0	.	0	.	0	.	45	91	0	.	44	61	73	59	0	.	0	.	0	.	0	.	0	.	0	.	77	100	68	53	15	76	0	0	88	80	31	54	38	80	19	87	0	.	4	85	13	100	0	.	6	.	14	100	0	.	0	.	3	100	0	.	0	.	14	100	236	99	0	0	0	0	0	.	15	83	1	100	0	.	0	.	49	72	0	.	118	87	0	.	0	.	0	.	0	.	5	100	13	87	13	88	19	100	9	100	2	.	27	91	0	0	6	78	28	74	41	97	0	.	2096	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
	total	1299	36	765	44	649	58	3732	25	2465	33	3061	30	6679	20	9387	17	9714	15	925	42	341	71	412	68	279	63	0	.	907	51	1064	49	1629	39	1293	43	258	.	2113	37	4505	23	1531	35	3474	24	5975	19	4257	21	4318	22	2020	33	4353	24	4343	29	100	.	1188	42	974	46	849	49	868	51	334	73	269	.	3388	28	1059	52	1216	44	2013	34	2960	30	3088	33	955	48	2031	36	187	.	492	59	525	78	2659	27	2227	33	1542	41	858	48	1913	39	1706	32	671	47	517	61	487	60	340	58	0	.	79	.	643	48	295	71	833	50	662	53	433	60	602	59	1156	40	735	54	589	63	1276	52	0	.	1363	37	402	71	467	74	229	80	1306	38	170	.	1540	31	125	.	614	76	129	.	785	59	3929	20	1221	40	2409	28	623	59	914	48	134	.	1215	41	1903	31	1421	39	922	49	554	58	0	.	146841	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	0	.	0	.	205	66	189	72	0	.	157	72	4258	19	1594	25	19	87	747	39	0	.	0	.	0	.	0	.	0	.	239	59	407	51	112	100	0	.	409	49	756	39	851	33	930	35	1548	28	1040	28	4	370	199	57	108	.	753	37	49	77	219	72	29	100	162	52	1122	36	0	.	687	41	427	55	39	100	64	.	433	54	0	.	292	54	25	.	32	95	0	.	0	.	0	.	0	.	132	75	144	77	181	72	0	.	0	.	435	51	978	42	491	61	0	.	29	100	17	100	90	76	32	100	13	100	20	100	287	72	303	58	160	58	416	57	296	54	78	.	0	.	160	64	0	.	0	.	299	44	2	.	120	51	1	.	0	.	0	.	25	.	3	.	790	34	1345	27	750	34	145	.	0	.	94	.	112	63	9	.	-1	100	0	.	57	.	0	.	26119	6
	fir	0	.	0	.	0	.	68	100	0	.	23	100	602	41	1248	28	721	52	412	39	0	.	0	.	56	100	0	.	0	.	0	.	354	75	7	100	0	.	152	100	89	72	85	77	3	100	69	100	0	.	201	62	196	67	32	.	315	49	418	55	84	71	146	71	263	57	972	40	0	.	93	66	0	.	101	100	0	.	68	100	0	.	124	71	21	.	35	100	0	.	30	.	0	.	0	.	47	72	-6	100	136	75	0	.	0	.	0	.	26	71	0	.	0	.	0	.	0	.	203	74	0	.	0	.	172	79	0	.	21	94	20	100	0	.	251	94	24	.	0	.	43	96	0	.	0	.	94	72	4	.	127	73	31	.	0	.	0	.	227	.	7	.	1	100	33	100	178	55	31	.	0	.	23	.	217	58	0	.	0	.	0	.	0	.	0	.	8899	11
	pine	161	73	0	.	0	.	0	.	0	.	0	.	36	59	23	100	0	.	13	100	0	.	0	.	109	66	0	.	0	.	0	.	0	.	171	85	0	.	0	.	0	.	175	71	0	.	181	52	94	47	0	.	15	100	0	.	0	.	0	.	0	.	0	.	0	.	26	100	0	.	84	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	56	100	0	.	0	.	0	.	0	.	0	.	0	.	16	100	0	.	0	.	0	.	29	100	57	100	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	35	94	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	.	0	.	0	.	0	.	0	.	0	.	0	.	164	45	224	42	165	51	0	.	0	.	0	.	0	.	0	.	15	100	0	.	0	.	0	.	1869	17
	larch	0	.	0	.	0	.	0	.	0	.	0	.	18	100	0	.	0	.	0	.	0	.	0	.	9	100	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	-14	121	11	100	388	43	964	22	0	.	0	.	0	.	0	.	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	81	226	51	266	52	105	100	0	.	20	100	310	50	73	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	900	60	877	29	348	44	0	.	0	.	0	.	0	.	0	.	14	100	0	.	0	.	0	.	4529	16
	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	.	3	71	781	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	.	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	.	125	53	94	51	57	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1076	21
	other conifers	0	.	0	.	48	100	0	.	0	.	1	100	0	.	0	.	12	100	0	.	0	.	0	.	0	.	153	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	10	80	0	.	0	.	170	.	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	3	100	0	.	0	.	-16	100	0	.	0	.	0	.	7	100	0	.	2	.	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	.	0	.	0	.	0	.	0	.	15	103	0	.	0	.	0	.	0	.	0	.	423	56
	beech	273	100	113	.	87	65	75	60	0	.	128	71	563	62	931	28	342	66	263	42	85	71	0	.	80	62	0	.	0	.	67	84	327	69	1	100	0	.	28	76	112	83	202	59	0	.	12	100	0	.	241	61	68	93	2	.	90	61	89	65	20	100	31	76	51	102	189	44	0	.	11	90	47	71	12	92	11	.	28	100	0	.	65	67	15	.	203	60	0	.	68	.	0	.	0	.	9	100	47	100	106	62	0	.	0	.	0	.	77	100	0	.	126	68	639	42	133	60	615	44	108	71	0	.	69	60	0	.	-3	100	127	71	0	.	0	.	0	.	0	.	108	86	0	.	0	.	91	90	0	.	85	77	0	.	0	.	0	.	105	.	108	.	0	.	4	100	242	47	0	.	0	.	53	.	143	59	12	.	17	100	0	.	12	.	0	.	7962	11
	maple	0	.	0	.	-2	100	0	.	0	.	41	95	212	38	74	48	11	100	125	45	5	100	0	.	17	64	0	.	0	.	14	86	101	55	17	100	0	.	70	79	43	62	10	100	38	100	53	74	0	.	0	.	14	59	0	.	24	62	34	58	13	100	8	100	4	100	25	49	0	.	61	86	85	97	28	73	0	.	10	100	0	.	51	99	24	.	0	.	0	.	14	.	0	.	0	.	35	100	0	.	11	100	0	.	0	.	0	.	0	.	0	.	0	.	27	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	111	69	20	94	11	79	31	.	0	.	24	100	0	.	0	.	9	100	0	.	33	64	0	.	0	.	0	.	0	.	0	.	0	.	9	100	22	87	0	.	0	.	26	.	41	69	0	.	29	86	0	.	0	.	0	.	1666	13
	ash	0	.	112	.	0	.	0	.	0	.	200	72	3	100	120	62	56	76	0	.	65	100	0	.	14	100	0	.	0	.	37	100	2	100	31	100	0	.	60	100	0	.	0	.	129	73	0	.	0	.	0	.	4	100	0	.	9	100	15	100	14	100	0	.	0	.	2	100	0	.	0	.	5	100	44	100	5	.	0	.	0	.	59	86	0	.	0	.	0	.	0	.	0	.	0	.	3	100	22	100	96	83	0	.	0	.	0	.	0	.	0	.	10	100	35	78	0	.	0	0	0	.	15	100	7	100	3	100	0	.	49	100	0	.	5	100	0	.	2	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	31	.	66	100	0	0	33	89	0	.	0	.	0	.	42	71	24	.	99	100	0	.	11	.	0	.	1539	20
	oak	347	95	0	.	0	.	0	.	0	.	0	.	7	100	0	.	99	45	0	.	0	.	0	.	40	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	56	100	0	.	0	.	0	.	52	100	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	.	19	100	63	93	79	82	17	100	0	.	3	100	8	100	0	.	33	100	6	100	0	.	0	.	0	.	0	.	47	100	0	.	0	.	0	.	103	.	0	.	0	.	0	.	0	.	0	.	22	.	0	.	4	100	6	100	0	.	0	.	0	.	25	100	0	.	42	71	0	.	0	.	0	.	1097	34
	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	.	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	.	42	100	64	63	165	100	3	100	250	48	210	56	121	68	0	.	76	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	21	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	993	26
	other broadleaves	83	82	17	.	7	71	0	.	0	.	0	.	135	42	103	54	144	97	14	83	81	100	0	.	14	100	0	.	0	.	0	.	0	0	0	.	0	.	9	71	21	61	5	100	44	63	33	56	25	100	3	100	11	60	0	.	44	85	0	.	0	.	0	.	0	.	43	80	0	.	6	82	2	100	0	.	0	.	5	100	0	.	30	61	10	.	4	100	0	.	15	.	0	.	0	.	2	100	4	100	110	100	0	.	0	.	4	76	49	71	0	.	54	89	217	41	130	67	31	80	0	.	50	73	27	100	0	.	18	100	6	83	0	.	21	84	0	.	10	.	0	.	0	.	0	.	0	.	9	.	7	71	0	.	0	.	0	.	0	.	6	.	104	54	20	60	-13	268	0	.	0	.	0	.	15	100	0	.	2	100	0	.	0	.	0	.	1791	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	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0
	total	864	85	242	.	344	61	333	63	0	.	551	64	5845	18	4092	19	1403	39	1574	31	236	71	0	.	338	56	153	.	0	.	357	56	1192	41	339	71	0	.	728	45	1022	33	1315	31	1156	31	2294	25	3012	18	449	58	507	50	311	.	1288	35	605	53	350	70	221	73	480	52	2380	27	0	.	943	37	569	47	224	75	80	.	528	50	0	.	620	50	94	.	337	59	0	.	128	.	0	.	0	.	228	75	212	61	674	52	0	.	0	.	495	48	1450	36	982	40	316	48	1261	30	589	47	1388	29	213	50	164	75	303	72	290	72	411	53	479	48	436	55	585	68	134	.	13	.	382	51	0	.	0	.	492	41	132	.	373	50	32	.	0	.	0	.	358	.	177	.	2150	31	2610	22	1808	27	175	.	0	.	196	.	611	50	45	.	217	74	0	.	80	.	0	.	57964	5
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	541	40	415	39	743	48	1638	34	2349	29	2853	25	13531	11	7253	13	6375	16	3435	16	2	100	330	62	705	59	0	.	885	44	2571	26	2100	27	1820	29	0	.	3897	27	6176	18	3086	19	5948	17	9657	13	5682	14	2841	21	1535	31	2605	24	5645	20	208	60	1350	27	818	40	528	40	1812	30	1123	35	1277	33	2188	30	1292	35	1122	36	2269	27	1874	33	3109	28	1902	25	1046	39	496	48	252	60	299	51	1838	28	2619	27	1395	34	918	35	1163	32	1472	31	896	38	1924	28	1782	31	0	.	60	71	17	100	273	68	59	65	198	67	732	40	1220	42	1730	34	1083	42	1268	34	1016	33	1210	44	133	61	1137	28	310	73	477	67	1849	22	581	44	843	32	970	36	251	61	651	49	184	63	452	75	3612	19	4088	18	5201	17	602	43	1054	35	752	37	1370	30	1704	27	989	44	731	48	552	34	0	.	168948	2
	fir	362	47	105	62	95	73	1210	31	489	40	1378	34	1669	25	6139	14	4787	17	2665	20	16	75	58	73	301	59	0	.	234	68	314	58	1098	39	637	48	0	.	456	50	261	38	444	44	235	63	767	38	6	100	3458	20	1314	30	2928	22	1334	25	493	47	981	36	454	36	526	44	1279	33	283	56	170	58	796	40	836	34	146	61	501	41	535	46	1439	29	126	59	499	47	372	54	164	47	316	33	443	53	716	34	467	41	530	47	378	49	432	58	0	.	123	59	146	100	0	.	0	.	30	100	354	60	269	58	139	71	485	43	0	.	251	58	408	38	441	53	871	38	59	52	32	100	739	39	243	74	365	53	285	53	357	52	432	35	251	52	369	64	516	56	294	79	115	72	117	91	444	54	519	36	215	40	161	51	358	51	758	36	473	36	85	91	5	100	146	84	0	.	56495	4
	pine	180	66	406	59	41	71	65	86	0	.	14	100	457	63	90	53	555	30	393	47	47	100	65	61	172	47	0	.	17	100	183	74	0	.	345	60	115	81	0	.	227	47	649	33	47	100	704	33	1273	30	432	36	15	100	196	56	0	.	114	100	27	100	0	.	0	.	26	100	0	.	84	100	19	100	36	100	0	.	0	.	0	.	40	100	350	38	119	65	92	53	38	78	166	43	66	100	8	100	0	.	89	62	132	63	249	60	0	.	90	75	57	100	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	188	63	0	0	0	.	0	.	0	.	16	88	9	100	0	.	36	100	0	.	22	72	0	.	93	79	0	.	0	.	30	100	0	.	796	29	427	29	687	34	0	.	68	100	274	42	89	59	334	41	164	48	245	60	98	61	0	.	12074	8
	larch	22	75	63	66	65	100	227	64	0	.	0	.	126	73	15	100	135	58	0	.	0	.	0	.	36	79	0	.	0	.	34	100	0	.	39	71	0	.	49	100	408	43	369	40	170	55	1688	21	4559	15	20	100	2	100	21	89	0	.	0	.	0	.	0	.	42	100	0	.	0	.	0	.	8	100	11	100	22	100	138	65	43	100	0	.	44	66	0	.	0	.	14	100	0	.	0	.	0	.	52	100	11	100	40	100	0	.	243	68	477	40	351	41	253	55	0	.	85	65	816	30	427	38	454	61	0	.	0	.	22	100	281	44	0	.	0	.	0	.	16	100	0	.	12	100	0	.	0	.	11	100	0	.	58	73	0	.	0	.	0	.	0	.	4202	19	2259	20	1249	22	55	100	21	100	10	100	0	.	0	.	47	76	19	100	230	57	0	.	20071	7
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	100	0	.	0	.	164	56	1128	22	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	534	31	215	43	57	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2124	15
	other conifers	29	76	0	.	48	100	18	73	0	.	6	80	0	.	0	.	418	45	2	71	0	.	0	.	0	.	153	.	0	.	0	.	0	.	0	.	0	.	2	100	8	100	0	.	0	.	6	100	18	49	5	74	44	100	185	92	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	3	100	240	100	4	100	-16	100	6	100	0	.	69	100	7	100	3	100	18	77	0	.	0	.	0	.	3	100	0	.	0	.	8	86	0	.	0	.	0	.	0	.	0	.	0	.	42	100	0	.	0	.	0	.	0	.	5	100	0	.	6	100	0	.	0	.	30	100	12	65	0	.	3	100	0	.	0	.	0	.	141	100	0	.	0	.	0	.	0	.	7	100	13	100	2	74	0	.	0	.	8	86	15	103	5	100	0	.	0	.	0	.	0	.	1584	27
	beech	1849	26	919	29	583	35	2183	27	227	49	566	33	2751	25	3071	21	4950	15	3162	16	535	38	1012	35	1279	29	0	.	220	63	740	35	898	34	1167	36	0	.	1220	31	623	45	580	30	44	71	413	38	0	.	3437	16	1045	29	858	31	1314	30	280	48	252	34	245	40	150	50	388	35	377	42	21	67	1311	31	662	42	1252	41	763	33	952	38	1593	33	2063	22	1476	32	1003	26	941	34	1387	29	342	32	290	85	847	35	457	32	332	40	893	34	0	.	162	56	0	.	589	37	972	34	527	33	1016	33	850	35	380	41	497	44	0	.	162	64	538	43	149	54	329	45	425	58	31	122	1064	29	127	96	173	56	294	37	460	42	1039	30	399	55	572	44	218	48	275	53	201	61	0	.	5	77	764	30	250	50	447	40	484	38	1007	31	990	28	632	45	376	42	384	38	0	.	70711	3
	maple	289	33	153	42	36	111	77	49	46	72	178	48	675	23	293	28	260	31	636	24	131	57	104	53	167	44	0	.	60	71	45	64	220	37	47	53	0	.	354	33	92	52	16	66	54	74	92	49	0	.	477	22	77	44	54	45	288	44	56	47	121	47	51	63	118	91	25	49	128	33	61	86	154	57	272	36	103	56	320	37	147	48	560	34	66	53	99	49	111	33	127	45	304	41	139	38	101	55	31	59	270	55	50	48	106	66	11	100	36	100	11	100	9	100	42	72	14	53	2	70	40	100	1	100	119	46	11	100	0	.	172	50	157	51	141	38	48	69	0	.	114	43	0	.	12	90	28	59	51	42	84	49	130	69	4	100	12	100	0	.	30	75	0	.	21	68	216	31	82	54	185	44	79	48	246	34	116	42	141	58	117	63	137	57	0	.	11061	5
	ash	276	41	429	45	140	56	73	75	0	.	303	53	114	72	592	38	591	26	124	48	286	57	25	65	107	63	0	.	122	78	324	53	344	47	335	63	43	100	678	63	36	85	17	79	167	59	86	64	0	.	954	30	681	73	156	62	86	55	49	95	44	61	0	.	1	100	2	100	443	58	0	.	35	74	658	33	316	38	111	48	191	72	279	41	172	44	71	53	48	60	180	53	185	65	330	58	3	100	253	66	403	44	483	43	286	39	10	100	96	100	0	.	16	73	44	65	126	81	54	78	0	46674	74	53	108	78	36	71	0	.	238	48	77	64	44	72	171	68	4	149	57	81	60	100	0	.	7	100	23	100	113	73	127	62	58	58	209	73	0	.	207	79	91	74	40	79	109	47	179	75	369	49	209	54	226	35	212	39	102	97	175	54	215	56	0	.	15518	7
	oak	481	70	61	77	0	.	258	49	0	.	0	.	13	71	51	94	561	22	0	.	123	79	3	100	93	55	0	.	36	100	56	100	32	67	67	81	598	49	0	.	0	.	50	100	0	.	1	100	56	100	326	40	127	77	210	80	52	100	65	77	0	.	33	100	0	.	0	.	4	100	0	.	0	.	18	100	67	71	0	.	16	75	11	100	219	49	0	.	19	71	17	85	156	59	15	100	0	.	0	.	106	51	478	59	273	40	0	.	0	.	0	.	32	62	107	58	442	34	108	66	98	45	64	85	45	83	0	.	33	100	6	100	12	100	0	.	104	83	0	.	54	88	133	73	64	60	0	.	417	45	16	100	45	57	267	47	19	100	31	100	22	100	31	64	103	68	45	47	0	.	23	100	32	58	25	100	151	53	123	39	180	62	81	61	0	.	7670	10
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	365	50	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	.	42	100	238	67	220	77	397	50	490	33	1030	30	376	59	222	45	1411	28	0	.	0	.	0	.	0	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	0	.	0	.	28	100	0	.	51	61	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4925	13
	other broadleaves	262	43	93	36	116	52	107	74	3	71	57	80	557	29	210	33	537	35	119	33	156	59	57	60	63	45	0	.	33	59	224	72	13	61	84	51	5	100	342	64	58	38	85	46	290	38	704	27	297	44	351	37	103	69	38	82	67	62	0	.	30	50	2	100	19	59	43	80	49	65	19	73	50	83	3	71	72	45	118	40	222	55	176	50	99	62	38	54	54	66	166	49	118	69	136	42	20	60	66	90	206	63	96	45	87	63	108	66	158	36	82	83	236	39	412	34	933	26	202	31	328	58	359	39	64	51	39	100	22	82	189	63	257	91	30	66	17	62	89	69	48	46	1	100	1	100	13	53	65	57	18	52	118	87	108	67	127	70	6	100	6	100	360	35	158	32	326	33	26	77	153	57	81	77	64	50	0	0	22	54	190	70	65	64	0	.	12401	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
	total	4290	23	2644	23	1867	28	5856	19	3114	28	5355	22	19906	10	17714	11	19169	10	10536	12	1296	33	1653	32	2924	27	153	.	1607	34	4493	21	4705	20	4542	20	760	48	6997	22	7901	16	5296	17	6955	15	14647	11	13060	10	12303	12	4942	22	7252	18	8786	17	1264	32	2805	24	1609	32	1384	35	3575	22	2407	27	1632	31	4564	23	4027	24	3103	26	4204	21	3985	24	7207	20	5111	18	3354	25	2199	24	1917	28	2930	25	3309	23	3756	24	3114	26	2991	25	3151	27	3806	22	1310	30	3305	21	2652	25	1531	24	2129	23	3206	17	3243	19	2294	23	3088	21	2051	28	1306	40	2414	28	2914	26	2372	28	2430	30	2035	36	351	46	3233	22	887	48	1132	40	2476	20	1987	28	2544	23	2339	25	1629	33	1754	40	821	55	1032	48	9777	12	7774	14	9227	13	1409	34	2481	28	2286	26	3801	22	3984	20	2304	28	2038	33	1908	27	0	.	383583	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. 2292709. Birmensdorf, Swiss Federal Research Institute WSL

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