Selection from the list of topics

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

1. What do the numbers stand for?

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

Example 1: Estimated value and standard error

NFI5

volume of deadwood (stemwood)
ownership (2 categories)

regional demarcation: production region

unit: m³/ha

evaluation area: accessible forest without shrub forest

grid: 1.4 km grid, subgrids 1-5

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

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

top

2. What is the purpose of the standard error?

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

The statistical certainty is:

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

Example 2: Calculating confidence intervals

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

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

Procedure

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

Answer

			Step 1	Step 2

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

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

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

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

Data: see example 2

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

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

top

3. When are two results statistically different?*

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

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

Example 4: Interpretation of two results from the same inventory

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

	case 2						case 1

case 1

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

Procedure

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

Answer

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

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

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

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

Case 2

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

Procedure

See case 1.

Answer

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

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

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

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

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

Example 5: Interpretation of two results from different inventories

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

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

Procedure

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

Answer

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

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

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

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

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

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

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

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

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

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

Procedure

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

Answer

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

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

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

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

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

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

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

Procedure

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

Answer

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

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

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

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

top

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

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

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

Example 8: Standard error and combination of variable expressions

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

The standard error increases as the level of detail increases.

Large standard errors are to be expected if:

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

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

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

top

5. Two types of changes?

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

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

top

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

The results are:

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

Example 9: : Additivity/non-additivity of changes

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

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

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

Example 10: Average number of years per domain

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

top

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

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

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

top

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

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

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

top

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

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

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

top

NFI4
growing stock (stemwood)
development stage · main tree species
regional demarcation: forest district (2024)
unit: 1000 m³
evaluation area: accessible forest without shrub forest NFI4/NFI5
grid: 1.4 km grid, subgrids 1-5
state 2009/17
		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	.	-18	.	0	.	0	.	0	.	0	.	281	65	2	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	101	82	0	.	0	.	0	.	0	.	0	.	0	.	387	54	30	59	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	.	1	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	106	99	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	961	32
	fir	0	.	0	.	0	.	0	.	0	.	0	.	22	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	105	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	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	137	78
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	156	63	61	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	.	13	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	56	62	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	285	39
	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	.	27	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	27	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	0	.	18	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	100	0	.	0	.	0	.	0	.	5	.	0	.	14	100	0	.	0	.	0	.	0	.	24	.	0	.	0	.	0	.	0	.	0	.	0	.	11	.	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	.	-20	.	0	.	0	.	0	.	0	.	18	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	82	55
	maple	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	100	0	.	0	.	0	.	0	.	0	.	0	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	44	52
	ash	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	100
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	other broadleaves	0	.	0	.	0	.	0	.	0	.	0	.	0	0	4	.	0	.	1	100	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	.	3	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	53
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0
	total	0	.	0	.	0	.	0	.	0	.	0	.	304	60	6	.	0	.	23	72	0	.	0	.	0	.	0	.	5	.	0	.	231	71	0	.	9	.	0	.	0	.	24	.	0	.	542	54	91	63	0	.	0	.	0	.	24	.	0	.	0	.	0	.	0	.	0	.	0	.	20	.	1	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	139	86	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	-20	.	0	.	0	.	13	.	0	.	64	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	83	68	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1564	27
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	71	100	28	76	0	.	155	64	0	.	138	85	635	47	197	52	39	56	4	100	0	0	0	.	0	.	0	.	0	.	0	0	151	53	86	61	0	.	128	85	251	63	35	70	249	98	340	48	92	97	0	.	4	100	161	95	166	67	51	.	0	.	0	.	12	100	0	.	0	.	18	73	0	.	23	84	57	100	25	100	0	.	1	100	21	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	0	.	5	100	53	100	0	.	0	.	0	.	0	.	0	.	0	.	5	100	140	82	0	.	3	100	61	.	65	80	0	.	80	100	0	.	2	.	0	.	0	.	0	.	0	0	0	.	1	.	0	.	0	.	0	.	0	.	41	58	94	71	68	80	19	100	53	.	98	98	3	100	1	100	0	.	69	100	0	.	0	.	4008	15
	fir	0	.	0	.	0	.	33	88	0	.	8	100	26	100	175	69	69	87	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	99	100	0	.	42	100	0	.	9	100	0	.	0	.	0	.	20	79	0	.	52	71	15	73	106	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	0	49	100	27	100	0	.	0	.	0	.	0	.	4	100	0	.	0	.	2	100	10	.	32	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	27	100	0	.	0	.	0	.	0	.	2	.	0	.	0	.	0	.	0	.	7	.	56	.	33	.	0	.	0	.	0	0	15	100	0	.	3	100	23	.	84	100	39	100	0	.	0	.	0	.	0	.	0	.	1077	23
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	47	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	55	100	3	100	0	.	9	100	3	73	0	.	16	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	.	5	100	0	.	0	.	0	.	0	.	138	54
	larch	0	.	69	74	1	.	0	.	0	.	0	.	114	74	16	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	35	100	0	.	0	.	29	88	0	.	0	.	0	.	0	.	0	.	0	.	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	.	83	78	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	154	68	5	71	95	79	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	606	30
	Arolla pine	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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
	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	.	3	76	0	.	0	.	0	.	1	100	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	54
	beech	259	60	105	52	0	.	47	71	0	.	25	71	1	100	48	68	224	42	45	71	0	.	0	.	0	.	0	.	0	.	56	60	0	.	12	100	0	.	0	.	0	.	14	100	0	.	0	.	0	.	19	92	177	77	13	100	28	78	0	.	0	.	0	.	37	100	0	.	0	.	0	.	0	.	0	.	31	100	0	.	0	.	93	74	0	.	0	.	0	0	1	100	0	.	0	0	0	.	0	.	27	100	0	.	47	.	0	.	0	.	0	.	3	100	13	100	0	.	3	.	0	.	0	.	22	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	114	0	.	3	.	0	.	12	.	0	.	0	.	0	.	2	100	0	.	39	100	7	.	98	71	19	100	1	100	36	74	20	71	0	.	0	.	1607	17
	maple	7	72	70	60	0	.	5	100	0	.	0	.	17	100	0	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	10	100	7	100	0	.	38	71	1	100	0	.	0	.	20	100	0	.	2	100	31	79	0	.	17	100	0	.	0	.	0	.	0	.	0	.	0	.	17	100	0	.	12	100	5	100	29	100	0	.	32	100	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	22	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	.	0	.	1	100	0	46143	0	.	0	.	-40	100	38	100	0	.	0	.	0	.	0	.	0	.	380	27
	ash	-6	100	8	76	0	.	0	.	0	.	0	.	11	80	2	100	0	.	3	100	2	100	0	.	0	.	0	.	0	.	0	.	26	93	25	97	0	.	8	100	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	4	100	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	100	39	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	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	.	14	100	0	.	0	.	0	.	1	100	2	100	0	.	0	.	1	100	26	.	0	.	197	33
	oak	0	.	0	.	0	.	107	100	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	.	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	.	6	100	0	.	0	.	0	.	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	.	20	100	0	.	0	.	0	.	164	68
	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	.	16	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	.	16	100
	other broadleaves	5	60	12	76	0	.	19	76	0	.	0	.	17	69	13	76	29	71	0	.	5	100	0	.	0	.	0	.	0	.	0	.	15	91	3	100	0	.	6	62	9	100	28	100	0	.	22	71	0	.	0	.	5	78	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	.	0	.	1	100	6	100	0	.	14	61	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	4	84	0	.	1	.	8	62	0	.	0	.	0	.	3	.	23	100	0	.	0	.	6	100	0	.	0	.	0	.	13	100	96	.	0	.	0	.	5	.	0	.	15	71	0	.	0	.	0	.	0	.	0	.	0	.	1	100	7	74	18	100	0	.	0	.	0	.	0	.	0	.	2	100	2	100	0	.	0	.	435	26
	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	335	61	292	39	1	.	365	55	0	.	171	82	821	40	452	46	379	35	57	71	53	97	0	.	0	.	0	.	0	.	56	60	209	48	232	60	0	.	222	71	315	54	123	54	251	97	391	47	127	90	41	80	234	70	226	80	230	62	157	.	0	.	0	.	52	100	0	.	6	.	35	84	1	100	45	80	142	100	95	58	0	.	161	67	60	100	0	.	4	100	2	100	0	.	12	85	10	.	32	.	40	75	0	.	47	.	10	67	57	100	1	.	112	62	29	100	0	.	3	.	3	.	32	85	162	72	0	.	9	73	84	.	92	85	0	.	103	100	96	.	2	.	2	.	5	.	0	.	45	90	0	.	11	.	56	.	46	.	0	.	3	.	197	59	144	70	180	60	61	76	83	.	240	69	103	94	7	84	57	58	93	88	26	.	0	.	8642	10
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	50	75	433	48	195	85	73	99	0	.	178	78	683	38	180	92	676	31	76	62	0	.	37	100	173	73	0	.	133	100	220	74	199	74	124	89	0	.	85	63	103	101	218	61	337	35	494	36	260	47	88	66	303	55	298	51	322	46	46	100	61	96	14	100	2	100	0	.	237	88	0	.	116	70	96	89	69	90	63	71	0	.	78	80	329	59	60	65	0	.	0	.	0	.	19	81	227	55	0	.	307	74	34	98	192	71	16	91	135	56	0	.	12	100	0	.	0	.	60	63	71	71	133	75	9	232	161	97	163	68	128	91	145	85	76	79	62	100	50	100	205	69	57	70	6	100	0	.	185	73	248	79	1	.	204	78	36	.	0	.	0	.	301	51	136	41	377	53	128	83	200	71	52	100	387	61	192	100	156	100	40	.	246	52	0	.	12269	8
	fir	0	.	30	100	39	82	18	102	0	.	43	85	0	.	60	65	409	43	20	71	0	.	20	100	0	.	0	.	15	100	40	100	0	.	0	.	0	.	71	100	0	.	0	.	27	100	76	92	17	100	299	71	134	61	249	51	153	70	-5	100	13	100	10	100	7	100	0	.	4	100	0	.	0	.	0	.	27	100	0	.	0	.	55	100	0	.	74	74	0	.	0	.	34	100	33	100	98	100	0	.	27	100	140	71	121	100	9	100	0	.	0	.	0	.	0	.	0	.	20	96	0	.	0	.	9	100	0	.	0	.	73	71	0	.	11	100	11	100	56	100	23	91	9	100	101	78	0	.	23	100	32	93	0	.	17	100	0	.	0	.	0	.	0	.	92	78	19	83	44	95	0	.	23	100	0	.	2	100	11	100	0	.	11	197	0	.	2954	15
	pine	0	.	35	71	0	.	0	.	0	.	0	.	0	.	5	100	95	68	32	81	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	100	0	.	0	.	62	79	54	100	0	.	0	.	288	38	0	.	0	.	0	.	0	.	0	.	27	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	43	100	43	100	0	.	0	.	-6	100	0	.	9	100	0	.	0	.	9	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	332	64	93	55	32	97	0	.	0	.	27	100	47	100	0	.	37	100	0	.	0	.	0	.	1304	22
	larch	9	100	6	100	0	.	19	100	0	.	0	.	5	82	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	46	100	0	.	0	.	0	.	0	.	21	86	0	.	9	73	222	53	230	41	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	100	0	.	0	.	0	.	37	72	21	109	11	100	0	.	58	100	341	40	32	72	1	100	0	.	0	.	0	.	93	62	0	.	10	100	0	.	46	100	0	.	0	.	0	.	0	.	12	100	0	.	0	.	0	.	0	.	0	.	29	.	306	37	90	59	184	52	0	.	0	.	16	100	0	.	0	.	0	.	0	.	0	.	0	.	1881	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	.	0	.	102	66	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	76	100	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	179	56
	other conifers	36	77	0	.	0	.	37	78	0	.	0	.	37	98	0	.	56	56	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	3	100	20	54	-7	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	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	50	100	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	0	.	0	.	0	.	5	100	0	.	0	.	0	.	0	.	0	.	1	.	0	.	0	.	7	100	0	.	1	100	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	275	30
	beech	49	66	17	72	63	80	333	81	0	.	15	100	0	.	140	49	197	40	109	87	50	100	25	64	226	66	0	.	31	100	64	73	19	79	26	100	0	.	97	83	1	100	0	.	0	.	111	60	0	.	111	74	120	81	0	.	0	.	23	79	17	81	2	100	6	100	0	.	69	100	0	.	0	.	55	100	0	.	50	100	2	.	-3	336	76	56	18	66	12	.	-14	100	38	95	78	74	15	100	0	.	17	71	0	.	27	71	0	.	31	100	0	.	312	53	0	.	106	74	89	53	117	99	14	85	7	100	0	.	0	.	9	100	0	.	10	100	32	100	56	78	-10	100	7	100	30	64	0	.	0	0	35	95	6	.	11	100	0	.	0	.	0	.	0	.	18	81	165	73	0	100	0	.	9	100	1	100	0	.	18	100	0	.	192	54	0	.	3557	14
	maple	7	72	33	65	41	70	0	.	0	.	1	533	43	57	21	72	27	71	6	73	38	72	6	75	51	85	0	.	40	100	5	100	40	92	21	100	0	.	14	59	8	100	0	.	13	100	43	77	0	.	18	54	0	.	0	.	16	65	34	100	26	70	0	100	4	100	0	.	30	71	0	.	35	100	5	154	11	100	0	.	0	.	-6	100	32	70	18	84	24	.	14	100	-7	100	30	81	31	77	20	.	36	77	36	65	23	100	12	100	70	73	19	100	19	100	16	100	26	63	6	51	9	100	0	.	38	100	4	100	0	.	4	100	50	66	-3	254	0	.	0	.	43	81	0	.	2	100	0	.	11	73	36	92	0	.	0	.	0	.	0	.	0	.	2	100	36	67	63	44	15	100	0	.	0	.	-10	100	0	.	161	64	0	.	181	65	0	.	1697	13
	ash	53	63	0	.	74	73	0	.	0	.	3	100	0	.	9	62	29	66	0	.	3	100	2	100	31	100	0	.	0	.	0	.	56	65	25	100	0	.	18	68	0	.	0	.	29	71	32	49	0	.	66	89	3	71	12	93	10	100	57	79	14	100	2	100	2	100	0	.	19	100	0	.	6	100	19	100	0	.	0	.	0	.	24	100	30	94	12	66	0	.	80	99	1	100	117	56	99	100	6	.	38	72	36	95	32	100	11	100	0	.	0	.	24	73	11	100	55	64	75	68	0	.	15	100	0	.	29	95	0	.	9	100	3	100	19	100	14	100	3	100	27	71	0	.	0	.	0	.	0	.	9	100	0	.	2	100	0	.	0	.	0	.	70	60	86	72	94	83	13	87	11	100	0	.	25	78	21	81	13	100	0	.	0	.	0	.	1689	14
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	21	94	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	8	100	0	.	0	.	0	.	0	.	0	.	0	0	0	.	3	101	0	.	0	.	0	.	35	100	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	87	100	0	.	0	.	0	.	31	100	0	.	0	.	0	.	2	100	18	100	0	.	0	.	0	.	0	.	23	70	11	79	112	68	89	72	0	.	65	95	0	.	0	.	0	.	0	.	25	100	0	.	0	.	0	.	0	.	0	.	26	95	0	.	118	100	0	.	0	.	46	100	0	.	0	.	0	.	11	100	2	100	24	68	0	.	0	.	0	.	0	.	0	.	8	87	0	.	12	100	0	.	785	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	.	165	92	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	82	79	89	100	267	61	68	100	356	45	55	100	57	100	432	44	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	34	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1605	22
	other broadleaves	17	100	43	60	31	86	0	.	0	.	12	100	36	57	38	68	93	56	0	.	48	71	2	100	16	79	0	.	0	.	10	100	8	100	28	100	18	100	32	91	32	72	0	.	286	47	364	46	193	55	26	71	35	61	0	.	26	77	2	100	6	72	7	100	12	100	0	.	0	.	0	.	2	100	0	.	9	100	24	100	0	.	0	.	17	59	14	100	0	.	63	94	0	.	61	65	14	100	50	.	33	100	20	82	11	62	97	75	29	66	96	83	129	47	149	45	531	36	447	48	36	55	115	46	4	100	128	63	1	100	89	100	22	58	62	73	14	100	14	100	78	63	1	100	0	.	0	.	0	.	10	100	0	.	24	100	0	.	0	.	0	.	108	48	158	37	179	35	7	100	0	.	25	94	8	100	3	100	-1	100	0	.	12	100	0	.	4313	10
	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
	total	221	51	597	45	443	49	480	63	0	.	252	69	804	34	454	52	1603	23	242	51	139	76	91	61	498	50	0	.	227	80	384	57	322	54	250	67	18	100	316	56	236	52	272	65	702	28	1509	26	1110	26	605	52	598	44	559	48	528	42	191	45	163	60	35	74	37	73	0	.	358	67	0	.	172	59	175	73	116	73	137	58	2	.	192	71	614	41	196	55	36	.	138	75	98	104	345	54	484	56	77	.	478	56	283	51	409	49	144	58	382	36	226	60	797	33	255	49	1245	28	1232	27	322	48	790	34	66	115	322	58	164	68	406	51	252	57	185	48	133	71	225	78	365	58	75	70	169	63	0	.	359	58	369	67	7	.	304	65	37	.	0	.	29	.	1210	29	714	32	1172	31	207	74	211	67	162	77	459	57	219	88	403	62	40	.	653	41	0	.	32509	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	32	76	16	100	0	.	0	.	72	.	270	100	797	34	399	59	619	40	523	49	0	.	74	100	-7	100	0	.	112	100	1083	47	117	77	308	75	0	.	439	66	614	52	362	62	349	59	277	61	610	42	219	98	83	76	445	57	389	64	178	.	224	.	0	.	0	.	18	.	391	68	65	.	87	100	118	71	613	62	413	55	63	100	265	61	491	49	169	88	166	74	0	0	146	99	86	77	264	60	9	100	8	100	166	.	512	58	17	.	173	73	0	.	0	.	0	.	0	.	0	.	9	100	4	314	44	71	0	.	51	72	0	.	136	72	19	.	192	.	72	71	224	89	0	.	0	.	103	81	0	.	47	100	0	.	17	100	80	88	0	.	0	.	93	58	683	58	375	43	411	59	15	.	306	60	199	57	100	84	0	.	0	.	230	62	0	.	16251	9
	fir	182	77	0	.	0	.	0	.	72	.	13	100	1	100	76	94	138	50	200	40	0	.	0	.	65	81	0	.	0	.	0	.	300	71	126	100	0	.	20	100	86	71	0	.	0	.	53	100	0	.	24	71	191	72	119	100	72	100	41	.	0	.	0	.	0	.	0	.	11	71	0	.	109	100	0	.	0	.	23	80	128	100	287	77	77	75	63	100	60	90	0	.	83	64	9	100	80	71	126	96	56	100	4	.	0	.	0	.	18	100	0	.	0	.	0	.	0	.	97	100	0	.	4	100	316	63	0	.	0	.	9	.	9	100	0	.	29	.	0	.	61	86	0	.	0	.	20	100	0	.	41	100	0	.	0	.	270	72	60	.	0	.	0	.	0	.	0	.	197	86	0	.	0	.	92	94	43	100	0	.	0	.	26	100	0	.	4188	15
	pine	0	.	0	.	9	.	0	.	0	.	0	.	0	.	0	.	6	100	251	85	0	.	26	76	22	100	0	.	0	.	14	100	0	.	0	.	100	86	0	.	26	86	0	.	0	.	302	59	235	85	56	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	.	0	.	0	.	16	100	0	.	0	.	0	.	0	.	0	.	108	59	0	.	24	100	0	.	35	71	37	100	0	.	0	.	0	.	22	.	47	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	95	.	0	.	251	61	99	71	264	53	0	.	30	.	0	.	35	72	0	.	0	.	0	.	0	.	0	.	2146	21
	larch	0	.	0	.	66	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	100	66	137	87	192	54	299	36	0	.	0	.	15	73	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	38	77	0	.	0	.	30	81	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	36	.	14	71	0	.	39	100	0	.	0	.	148	71	178	72	241	94	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	86	74	351	45	17	187	0	.	0	.	0	.	0	.	0	.	0	.	0	.	67	74	0	.	2062	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	.	288	43	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	51	77	16	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	358	36
	other conifers	0	.	0	.	0	.	6	.	0	.	0	.	0	.	0	.	111	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	1	100	0	.	0	.	22	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	6	100	0	.	57	100	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	.	103	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	12	100	0	.	0	.	0	.	0	.	0	.	337	48
	beech	76	90	116	71	0	.	1	.	7	.	44	91	112	83	94	54	591	38	1027	32	0	.	126	67	285	61	0	.	6	100	50	77	249	63	0	.	0	.	35	80	20	78	18	100	0	.	30	104	0	.	383	49	24	100	92	64	17	100	0	.	0	.	0	.	0	.	9	.	0	.	0	.	141	98	82	88	137	82	145	51	170	81	123	57	423	44	40	63	189	65	93	83	367	49	39	100	0	0	115	76	29	100	0	.	66	92	0	.	24	100	0	.	29	100	424	64	203	51	287	67	426	48	216	65	244	53	0	.	112	100	36	.	49	100	0	.	15	.	19	100	292	58	0	.	0	.	7	100	0	.	282	75	0	.	1	100	0	.	57	.	0	.	0	.	0	.	102	58	24	100	26	.	1	100	121	57	202	71	0	.	86	74	91	64	0	.	8946	10
	maple	48	74	0	.	0	.	17	.	10	.	105	100	135	65	113	64	79	55	19	100	0	.	6	100	23	73	0	.	34	100	0	.	149	59	0	.	0	.	110	65	0	.	0	.	19	100	53	69	0	.	25	73	2	100	14	100	5	100	0	.	0	.	0	.	0	.	5	.	10	75	0	.	134	100	55	81	0	.	80	76	78	71	122	58	29	100	8	100	30	98	24	85	87	54	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	82	0	.	0	.	0	.	68	61	0	.	0	.	18	.	77	85	8	.	14	.	0	.	50	68	0	.	0	.	0	.	-15	100	16	100	0	.	0	.	16	100	0	.	0	.	0	.	0	.	12	100	17	100	5	.	31	75	118	56	6	100	39	.	109	71	0	.	0	.	2240	14
	ash	49	66	115	83	0	.	0	.	0	.	43	100	0	.	77	100	104	48	0	.	0	.	15	100	9	100	0	.	60	100	158	100	170	67	0	.	0	.	42	100	0	.	-6	100	46	77	53	100	0	.	194	58	0	.	56	70	0	.	0	.	0	.	0	.	0	.	0	.	189	100	0	.	13	100	122	59	71	94	28	100	101	82	142	76	60	87	13	100	11	84	4	100	35	100	0	.	0	.	0	.	129	91	0	.	22	100	0	.	123	100	0	.	8	100	0	.	30	100	0	.	25	100	12	100	109	78	0	.	0	.	0	.	18	100	5	.	0	.	44	89	0	.	0	.	0	.	0	.	21	100	79	76	0	.	21	81	4	100	0	.	0	.	8	100	2	100	0	.	0	.	11	.	90	64	58	71	29	100	93	.	56	74	0	.	0	.	2972	15
	oak	121	81	0	.	0	.	9	.	0	.	0	.	17	75	0	.	172	47	0	.	0	.	0	.	0	.	0	.	0	.	54	100	34	74	0	.	250	60	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	48	66	0	.	9	100	0	.	66	69	0	.	0	.	0	.	0	.	0	.	16	100	0	.	0	.	0	.	18	100	19	72	117	52	0	.	58	57	7	100	10	100	0	.	0	.	6	.	0	.	0	.	0	.	0	.	33	100	0	.	0	.	0	.	185	71	0	.	0	.	128	73	0	.	23	.	0	.	6	100	16	74	8	84	10	100	0	.	15	100	0	.	0	.	21	.	0	.	0	.	0	.	1491	19
	sweet chestnut	0	.	0	.	6	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	100	88	0	.	0	.	0	.	0	.	0	.	0	.	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	.	135	92	72	78	176	77	0	.	112	79	182	59	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	.	829	30
	other broadleaves	37	96	0	0	40	.	66	.	0	.	4	100	26	68	7	100	186	55	32	69	0	.	19	100	9	100	0	.	0	.	8	74	7	74	0	.	3	100	0	.	0	.	35	61	77	82	172	54	69	94	110	91	0	.	35	100	0	.	0	.	0	.	0	.	0	.	4	.	4	100	0	.	0	0	0	.	7	100	14	73	41	129	0	.	19	71	6	100	42	89	2	100	13	100	3	71	0	.	3	100	119	100	0	.	0	.	0	.	43	77	0	.	88	75	137	94	200	66	10	90	281	61	132	82	45	66	0	.	0	.	1	.	0	0	6	.	0	.	9	100	0	.	0	.	0	.	0	.	60	98	9	81	0	.	13	100	0	0	0	.	0	.	113	69	90	94	17	73	0	.	13	.	52	100	58	59	0	.	0	.	36	100	7	100	0	.	2638	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	546	45	247	59	120	.	99	.	161	.	479	72	1088	32	765	43	2006	27	2053	30	0	.	266	58	415	52	0	.	212	83	1367	43	1027	40	434	71	353	58	647	58	745	47	508	51	628	42	1231	31	1502	29	1011	39	300	61	812	49	482	69	218	.	224	.	0	.	0	.	60	.	605	56	65	.	498	51	377	62	829	50	741	46	587	57	939	56	1344	33	299	67	532	47	138	76	831	44	174	73	354	58	254	82	340	77	192	.	663	52	52	.	413	48	0	.	317	50	652	50	741	38	541	52	1089	35	800	43	836	49	0	.	163	83	71	.	289	64	39	.	249	.	259	73	659	47	0	.	0	.	130	72	251	58	474	61	0	.	180	71	370	66	236	.	0	.	586	37	1291	36	812	33	659	61	101	.	494	51	693	45	380	59	153	.	287	74	421	59	0	.	44459	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	94	54	9	225	198	58	32	100	978	44	563	53	2251	28	1031	38	818	45	911	33	0	.	20	100	132	83	0	.	251	91	827	45	642	54	522	63	0	.	980	49	1538	35	864	41	1941	33	1944	33	2320	25	1169	36	120	70	64	59	576	62	0	.	77	96	216	59	0	.	310	54	106	79	0	.	75	100	104	77	246	81	433	57	160	100	729	47	600	42	109	75	389	62	138	85	94	47	254	70	412	61	629	49	413	44	372	65	170	77	0	.	283	69	752	43	0	.	0	.	0	.	72	100	0	.	43	100	297	.	818	57	810	56	92	82	224	55	489	53	69	71	65	.	94	58	0	.	27	74	619	42	0	.	183	78	0	.	104	97	0	.	108	100	15	.	464	46	530	48	1438	34	190	78	487	65	143	72	175	65	785	40	14	100	483	65	13	.	0	.	36717	6
	fir	85	72	72	94	0	.	59	100	358	50	458	56	147	62	464	43	348	51	851	41	13	.	51	100	43	100	0	.	166	100	106	72	106	76	147	100	0	.	215	84	0	.	71	93	96	100	0	.	0	.	1796	30	257	83	216	57	398	52	12	100	72	71	66	74	0	.	258	66	44	100	0	.	188	68	142	66	0	.	93	100	75	100	350	53	1	100	39	100	26	72	0	.	60	76	172	100	217	65	168	51	392	61	102	63	0	.	0	.	33	100	0	.	0	.	0	.	0	.	0	.	162	71	91	100	5	.	25	100	199	72	53	72	15	100	534	58	44	100	9	.	199	84	125	.	123	73	46	98	2	.	73	69	9	.	288	83	0	.	60	100	62	.	0	.	217	78	229	77	0	.	75	80	149	71	128	51	272	50	0	.	0	.	0	.	0	.	12229	9
	pine	0	.	0	.	0	.	0	.	0	.	0	.	87	100	58	71	56	71	65	71	0	.	-17	100	40	71	0	.	0	.	0	.	0	.	122	92	0	.	0	.	34	100	110	71	0	.	56	63	343	53	144	63	0	.	129	66	0	.	107	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	31	100	0	.	0	.	0	.	0	.	209	56	0	.	14	100	11	100	45	74	0	.	0	.	0	.	34	71	76	100	136	77	0	.	17	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	54	100	143	75	0	.	0	.	0	.	0	.	15	.	0	.	0	.	28	100	0	.	0	.	0	.	26	.	0	.	0	.	0	.	0	.	111	66	35	74	93	86	0	.	0	.	164	60	0	.	138	52	86	82	83	75	45	.	0	.	2928	14
	larch	5	100	0	.	0	.	93	100	0	.	0	.	0	.	0	.	64	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	100	0	.	9	100	126	71	169	65	27	100	257	52	1245	29	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	93	100	0	.	10	100	9	100	0	.	0	.	17	100	0	.	0	.	0	.	0	.	0	.	46	100	0	.	0	.	139	74	41	76	112	82	0	.	0	.	168	71	67	100	0	.	0	.	0	.	0	.	14	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	567	55	238	57	125	68	55	100	22	100	0	.	0	.	0	.	23	100	20	100	76	.	0	.	3876	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	.	53	72	356	40	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	409	36
	other conifers	0	.	0	.	43	100	0	.	0	.	8	78	0	.	0	.	13	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	.	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	.	9	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	71	0	.	6	100	0	.	0	.	0	.	0	.	84	56
	beech	411	44	135	65	227	56	202	62	191	54	272	51	969	43	324	41	739	38	645	40	135	.	747	41	309	66	0	.	11	100	338	61	213	58	849	45	0	.	400	45	169	75	76	76	18	100	160	100	0	.	1070	30	272	59	403	58	42	87	68	100	42	77	70	59	0	.	103	67	204	71	0	.	431	69	62	76	308	87	65	99	93	100	628	45	815	35	452	58	480	41	290	71	429	43	76	67	0	.	345	50	262	45	102	72	177	46	0	.	0	.	0	.	64	73	127	83	139	98	0	.	162	70	110	76	0	.	25	100	18	100	210	88	57	100	103	61	39	100	0	.	186	74	115	.	80	63	64	70	99	.	514	49	0	.	383	51	0	.	132	71	15	.	0	.	0	.	128	83	147	67	250	58	101	58	167	71	269	42	334	76	256	66	24	.	0	.	19146	7
	maple	185	52	26	126	16	100	29	78	8	100	57	76	108	55	22	68	57	59	76	47	0	.	86	59	34	86	0	.	0	.	-2	173	10	100	0	0	0	.	60	46	16	72	0	.	0	.	0	.	0	.	198	33	30	100	0	.	5	100	19	100	0	.	0	.	0	.	9	100	14	94	0	.	27	100	60	84	38	78	41	100	20	100	210	47	0	.	44	90	57	42	0	.	45	75	69	76	12	100	6	100	39	59	14	100	9	100	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	0	.	0	.	33	100	0	.	16	72	33	83	74	58	0	.	0	.	37	73	0	.	13	92	16	80	0	.	23	100	0	.	13	100	0	.	0	.	9	.	0	.	0	.	13	73	68	71	73	61	39	77	55	70	83	58	0	.	18	100	0	.	0	.	2369	11
	ash	119	58	177	51	94	88	15	100	0	.	289	53	108	94	21	71	101	82	0	.	0	.	27	71	116	71	0	.	0	.	130	81	39	100	209	70	0	.	141	61	0	.	2	100	0	.	0	.	0	.	336	54	538	83	13	100	0	.	0	.	0	.	0	.	0	.	0	.	188	85	0	.	6	100	57	100	142	66	20	100	0	.	25	88	0	.	51	72	41	77	32	100	10	100	7	100	0	.	185	91	46	73	174	61	28	94	0	.	0	.	0	.	0	.	0	.	88	100	0	.	32	100	0	.	0	.	5	100	0	.	95	76	0	.	32	100	40	100	0	.	0	.	0	.	2	100	9	100	0	.	24	100	101	.	29	100	0	.	0	.	24	.	0	0	0	.	0	.	49	100	94	57	13	100	40	92	146	52	0	.	45	73	22	.	0	.	4379	15
	oak	0	.	37	100	0	.	0	.	0	.	0	.	0	.	0	.	185	38	0	.	0	.	3	100	65	84	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	59	100	0	.	0	.	0	.	50	80	85	100	65	100	0	.	16	91	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	103	81	0	.	0	.	17	100	21	71	0	.	0	.	0	.	34	100	97	52	87	100	0	.	0	.	0	.	4	100	5	100	67	100	0	.	16	100	0	.	0	.	19	100	0	.	0	.	0	.	0	.	62	100	0	.	0	.	0	.	69	72	0	.	0	.	20	100	0	.	78	73	0	.	0	.	0	.	0	.	0	.	5	100	0	.	51	81	27	71	20	100	76	82	31	71	101	86	0	.	0	.	1586	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	81	100	178	89	0	.	27	100	241	100	0	.	0	.	0	.	0	.	7	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	.	554	54
	other broadleaves	149	66	0	0	9	71	3	100	3	100	0	.	121	77	21	53	60	71	5	72	0	.	19	71	22	100	0	.	4	100	85	100	0	.	60	88	0	.	108	72	0	.	2	100	0	.	0	0	11	71	47	45	78	83	0	.	0	.	0	.	7	100	0	.	0	.	37	100	35	79	0	.	0	.	0	.	15	100	16	71	0	.	48	60	0	0	14	100	0	.	52	75	0	0	9	100	-2	820	0	0	8	100	76	67	0	.	0	.	10	100	1	100	15	84	10	100	124	79	0	.	38	100	0	.	0	.	31	100	4	100	8	100	3	100	31	75	0	.	0	.	30	100	0	.	1	100	14	81	2	.	0	.	0	.	14	74	0	.	4	100	0	.	14	64	10	100	30	91	0	.	43	71	27	71	0	.	2	100	18	100	20	100	2	.	0	.	1630	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
	total	1048	36	456	45	587	50	434	65	1539	40	1647	40	3790	25	1941	31	2441	26	2555	28	148	.	937	41	762	54	0	.	432	71	1484	37	1010	43	1945	34	0	.	1913	36	1883	30	1354	35	2082	32	2469	29	4275	20	4810	21	1380	50	890	48	1020	44	222	71	199	71	351	58	0	.	716	44	591	52	0	.	727	59	469	58	749	53	760	46	350	71	2002	33	1738	32	708	52	1006	38	556	51	706	42	588	54	639	55	1333	40	1228	41	1059	47	605	46	0	.	482	53	813	42	197	74	222	71	597	50	240	75	505	52	485	65	302	.	1011	51	1174	46	488	63	340	50	1263	50	253	76	88	.	555	54	240	.	344	56	768	43	103	.	837	46	137	.	910	52	0	.	303	83	126	.	1157	40	1031	40	2061	31	508	59	1096	46	665	45	584	49	1777	31	506	60	1026	46	182	.	0	.	85908	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	135	79	40	100	281	96	1078	43	1477	41	1654	39	4874	22	2724	22	3390	22	1174	31	0	.	184	100	129	100	0	.	320	72	451	59	1222	43	416	56	0	.	1583	40	2943	25	671	41	2995	26	3013	27	1601	30	715	44	702	56	1022	40	2222	38	15	100	146	51	339	71	61	71	511	71	264	76	222	.	1297	35	437	66	373	66	935	48	1635	38	1805	42	446	60	556	66	0	.	176	100	49	100	1564	34	1027	45	544	51	5	100	401	56	409	45	318	72	654	60	746	60	0	.	0	.	0	.	157	100	0	.	125	99	90	100	307	76	232	.	644	68	518	67	497	53	528	53	0	.	518	42	39	73	256	72	182	58	534	51	128	83	573	56	0	.	309	71	26	.	345	71	1581	31	549	54	2422	29	5	.	317	57	51	100	328	67	693	51	595	67	76	91	60	77	0	.	64632	5
	fir	122	72	0	.	0	.	1106	37	127	72	1018	48	753	46	3041	22	3102	23	697	33	1	100	50	100	208	74	0	.	82	96	179	87	297	62	271	96	0	.	162	100	59	71	297	61	159	100	187	71	0	.	792	47	522	61	2076	28	457	46	330	76	632	60	111	83	219	71	398	74	239	71	88	.	450	64	472	51	56	100	229	78	48	71	714	40	61	89	300	55	130	100	112	65	0	0	312	66	242	73	200	67	54	100	26	100	334	71	0	.	0	.	162	100	0	.	0	.	27	.	161	100	0	.	0	.	120	99	0	.	0	.	262	57	208	81	312	64	3	100	0	.	412	60	97	100	96	100	139	100	356	54	132	69	231	61	0	.	89	98	238	.	104	92	0	.	0	.	115	77	44	.	76	78	46	100	472	51	56	79	45	100	0	.	148	100	0	.	25672	7
	pine	19	100	0	.	0	.	72	87	0	.	17	100	294	100	0	.	339	41	29	72	0	.	0	.	0	.	0	.	18	100	154	86	0	.	0	.	10	.	0	.	0	.	187	61	48	100	61	100	64	72	74	88	0	.	41	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	47	78	0	.	0	.	43	100	0	.	8	100	0	.	0	.	61	61	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	26	79	0	.	154	100	0	.	0	.	28	100	14	100	46	100	39	100	103	100	0	.	0	.	2015	22
	larch	0	.	0	.	0	.	33	100	0	.	0	.	0	.	0	.	37	100	0	.	0	.	0	.	15	100	0	.	0	.	0	.	0	.	0	0	0	.	57	100	212	60	207	72	25	100	462	43	2254	27	20	100	0	.	0	.	0	.	0	.	0	.	0	.	43	100	0	.	0	.	0	.	0	.	0	.	0	.	75	100	45	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	52	100	0	.	0	.	0	.	299	73	22	100	18	100	99	100	0	.	0	.	119	100	80	73	282	75	0	.	0	.	0	.	68	67	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	49	71	0	.	0	.	0	.	0	.	2165	26	413	62	501	42	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7652	13
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	100	0	.	0	.	68	100	35	62	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	192	62	38	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	349	41
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	72	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	60	100	176	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	291	100	-14	100	0	.	0	.	0	.	0	.	0	.	0	.	4	100	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	.	3	100	0	.	0	.	0	.	0	.	0	.	185	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	782	51
	beech	637	48	410	53	213	63	1458	39	60	97	201	59	1373	40	994	35	2452	21	855	32	121	75	85	72	996	45	0	.	179	92	155	68	238	67	300	72	0	.	333	60	324	82	285	46	16	83	109	100	0	.	1007	34	589	47	236	53	607	46	261	71	86	72	34	94	37	70	56	77	54	71	0	.	598	50	150	56	531	62	478	50	553	54	431	52	672	42	750	40	167	72	578	49	111	100	220	46	233	95	418	69	86	100	239	55	401	53	0	.	0	.	0	.	215	77	223	82	0	.	138	95	0	.	5	100	211	100	0	.	48	.	198	72	21	100	192	73	337	61	0	.	355	55	6	100	0	.	85	66	263	50	150	62	460	63	183	.	73	92	81	.	248	66	0	.	0	.	27	100	32	.	124	60	209	76	436	49	345	53	299	67	79	75	78	71	0	.	26499	7
	maple	25	72	3	100	52	76	21	73	0	.	82	72	164	45	60	68	61	50	195	42	67	100	2	100	103	76	0	.	0	.	33	82	10	76	8	80	0	.	47	65	31	136	5	100	0	.	0	.	0	.	94	57	38	67	34	65	78	60	24	71	88	74	0	.	7	100	6	100	55	61	0	.	18	85	32	100	40	59	91	84	88	87	120	60	0	.	32	92	10	100	33	77	0	.	83	61	25	100	24	71	43	100	40	119	38	134	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	100	0	.	0	.	3	71	38	100	31	78	3	100	0	.	3	100	0	.	0	.	0	.	49	48	0	0	39	75	0	.	0	.	0	.	-5	100	0	.	0	.	68	62	0	.	95	79	0	.	26	102	14	100	0	.	5	100	54	100	0	.	2550	12
	ash	60	100	116	100	0	.	61	100	0	.	0	0	17	74	261	76	385	39	75	68	52	100	0	.	29	100	0	.	101	100	7	100	35	100	52	100	28	.	1	1623	38	100	0	.	0	.	0	.	0	.	93	86	36	71	32	79	22	100	18	100	14	100	0	.	0	.	0	.	52	72	0	.	2	100	259	60	29	74	34	100	0	.	85	65	69	78	26	100	0	.	39	60	0	.	192	70	0	.	63	100	21	100	219	65	132	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	100	14	100	0	.	11	100	77	81	0	.	117	100	0	.	14	100	71	99	0	.	0	.	2	100	0	.	0	.	0	.	97	100	0	.	212	87	4	100	0	.	25	100	109	.	278	71	19	100	56	85	41	73	28	100	12	100	110	71	0	.	4060	14
	oak	12	100	0	.	0	.	230	57	0	.	0	.	0	.	0	.	189	42	0	.	79	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	214	.	0	.	0	.	0	.	0	.	0	.	0	.	237	58	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	32	100	27	100	0	.	15	100	0	.	2	100	0	.	0	.	0	.	46	100	16	100	0	.	0	.	28	100	371	91	143	57	0	.	0	.	0	.	0	.	0	.	0	.	14	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	176	72	0	.	0	.	0	.	0	.	10	100	0	.	25	100	0	.	25	100	0	.	0	.	0	0	0	.	0	.	0	.	0	.	50	100	26	100	63	100	22	100	0	.	2066	24
	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	.	123	90	0	0	0	.	0	0	40	.	221	82	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	.	385	56
	other broadleaves	27	100	25	74	52	94	0	0	0	.	48	95	435	53	22	80	114	55	10	67	0	.	0	.	33	70	0	.	0	.	258	99	0	0	0	.	0	.	0	0	1	100	29	76	0	.	8	100	102	100	31	85	0	.	17	76	11	100	0	.	1	100	0	.	0	.	0	.	33	100	0	.	0	.	0	.	38	63	62	70	0	.	30	76	0	.	3	73	6	100	55	100	0	.	47	81	2	100	0	.	68	100	25	73	461	95	17	81	7	100	4	75	0	.	8	100	4	.	13	100	0	.	0	.	0	.	0	.	0	.	0	.	253	100	0	.	0	0	0	.	7	100	177	98	0	.	8	100	0	.	0	.	0	.	0	.	0	.	0	.	12	100	6	100	0	.	5	74	0	.	10	100	0	0	0	0	0	.	10	77	10	100	53	88	0	.	2661	25
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	.	0	0	0	.	0	.	0	0	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0
	total	1037	38	593	56	598	56	4057	24	1664	42	3020	34	7910	19	7101	18	10142	15	3034	23	320	70	321	89	1514	41	0	.	700	58	1238	46	1802	37	1048	45	252	.	2183	36	3625	23	1682	33	3242	27	3908	23	4056	22	3064	26	1954	35	3635	27	3398	32	648	60	966	53	484	71	367	70	970	51	698	58	310	.	2365	33	1673	42	1081	44	1904	38	2384	34	3185	31	1250	43	1713	36	313	75	997	46	248	73	2435	30	1537	38	1304	43	305	81	1382	46	1929	36	635	50	805	53	929	54	314	61	231	80	71	.	822	42	80	73	412	80	447	71	321	75	280	.	1186	45	1114	49	1032	48	989	53	0	.	1329	38	567	58	352	71	413	55	1204	41	411	58	1549	37	183	.	592	65	344	.	941	50	3974	21	1000	45	3317	25	190	.	899	53	354	62	1332	41	1245	42	1041	48	347	72	526	59	0	.	139323	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	2	100	0	.	127	98	198	77	-1	.	72	.	7081	16	2159	23	140	75	720	32	3	100	0	.	0	.	0	.	0	.	299	61	306	51	301	61	0	.	833	39	1647	34	1314	29	1328	33	3672	20	1111	30	581	34	316	50	73	51	1361	31	99	73	772	35	99	71	454	41	919	37	455	56	1176	35	461	43	89	72	132	72	677	46	211	84	737	45	0	.	2	100	11	100	0	.	28	100	350	56	56	57	216	54	100	74	0	.	77	66	703	47	867	41	549	57	0	.	64	71	24	100	48	64	0	.	89	84	278	52	193	72	501	48	110	72	487	49	289	61	0	.	0	.	100	60	0	.	52	.	1188	29	93	69	341	41	552	46	0	.	1	100	0	.	0	.	1621	29	2231	22	1236	29	64	100	47	.	0	.	150	65	66	69	4	.	41	100	36	100	0	.	42787	5
	fir	0	.	0	.	79	100	63	100	0	.	0	.	869	35	2412	24	609	46	1272	40	4	100	0	.	1	100	0	.	0	.	0	.	350	80	45	71	0	.	15	100	153	51	109	58	0	.	593	52	0	.	638	33	374	51	267	45	300	59	45	100	429	39	324	46	360	54	695	44	33	88	82	72	151	60	248	63	0	.	104	64	298	62	191	69	0	.	12	100	158	100	96	73	64	65	118	83	84	100	39	100	6	100	26	100	10	100	0	.	74	77	0	.	0	.	0	.	0	.	89	85	97	100	76	100	152	72	0	.	151	61	62	60	186	95	99	62	0	.	0	.	243	66	0	.	22	.	148	61	13	72	199	60	129	78	0	.	16	100	0	.	0	.	125	89	163	91	337	47	83	72	0	.	0	.	248	58	41	100	0	.	25	100	0	.	0	.	14505	9
	pine	58	100	0	.	20	100	0	.	0	.	0	.	63	47	0	.	0	.	41	71	0	.	0	.	100	63	0	.	0	.	0	.	0	.	169	86	0	.	0	.	36	100	214	64	0	.	177	49	267	81	94	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	147	100	0	.	0	.	0	.	105	72	0	.	0	.	0	.	52	100	65	71	0	.	0	.	1	100	0	.	0	.	46	100	0	.	0	.	0	.	47	100	85	75	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	41	92	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	100	0	.	0	.	0	.	0	.	0	.	0	.	182	43	174	43	175	60	0	.	0	.	0	.	0	.	62	100	8	.	0	.	0	.	0	.	2443	17
	larch	0	.	0	.	0	.	0	.	0	.	0	.	26	83	0	.	49	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	53	59	8	336	7	100	864	24	987	21	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	100	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	176	48	276	41	385	47	29	80	0	.	27	75	429	38	100	64	29	75	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	100	0	.	0	.	1750	35	1350	24	464	36	0	.	0	.	0	.	0	.	0	.	28	.	0	.	34	100	0	.	7112	11
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	-7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	100	0	.	0	.	102	62	499	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	.	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	.	227	35	245	42	82	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1164	19
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	109	92	1	100	0	.	0	.	0	.	177	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	7	100	4	100	2	100	0	.	0	.	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	4	100	0	.	0	.	-16	100	0	.	0	.	0	.	9	100	-19	100	3	100	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	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	21	100	0	.	0	.	0	.	0	.	0	.	323	64
	beech	15	100	15	.	148	61	72	72	0	.	0	.	390	57	1303	25	245	49	857	32	97	62	0	.	91	66	0	.	36	.	92	100	285	66	72	92	0	.	97	75	166	62	173	62	0	.	156	57	0	.	1003	32	181	57	80	72	550	51	77	91	73	47	126	56	143	53	268	47	109	72	36	58	333	49	221	79	0	.	215	61	273	50	369	61	122	.	104	91	212	60	128	76	491	57	112	75	9	100	83	100	135	62	65	100	45	76	0	.	77	95	0	.	141	64	414	47	169	53	433	43	172	47	120	81	136	77	0	.	53	77	130	87	61	73	95	100	55	.	0	.	278	55	0	.	0	.	135	54	2	100	134	62	39	83	0	.	90	76	0	.	0	.	0	.	0	.	515	43	31	100	7	.	0	.	153	61	90	82	21	.	7	100	22	75	0	.	13449	8
	maple	0	.	0	.	0	.	0	.	0	.	0	.	433	34	110	48	-15	150	276	41	23	100	0	.	46	96	0	.	0	.	18	100	78	63	19	100	0	.	96	59	80	65	167	91	34	100	0	.	0	.	108	43	52	60	19	72	173	48	-1	100	61	53	46	83	89	93	14	73	37	59	7	100	46	57	22	71	-38	100	111	81	36	90	132	69	24	.	14	100	26	100	5	191	93	64	8	100	6	100	2	100	141	91	11	100	4	100	0	.	0	.	0	.	0	.	32	100	0	.	4	100	26	100	2	100	24	100	0	.	0	.	126	75	21	92	13	82	0	.	0	.	2	100	0	.	0	.	12	76	0	.	12	65	41	60	0	.	0	.	0	.	0	.	0	.	0	.	126	49	22	100	3	.	0	.	55	65	0	.	0	.	0	.	0	.	0	.	3137	12
	ash	0	.	0	.	1	100	82	100	0	.	0	.	90	86	142	46	45	100	41	92	223	65	0	.	4	100	0	.	37	.	65	100	8	100	84	73	0	.	87	85	8	100	12	100	97	71	3	100	0	.	232	43	38	77	84	100	81	64	0	.	15	100	0	.	0	.	4	100	-9	100	0	.	46	97	64	100	68	100	28	71	96	95	82	100	17	.	0	.	0	.	99	91	47	74	21	100	0	.	18	100	182	53	0	.	7	100	0	.	0	.	38	100	9	100	27	66	-15	100	27	100	13	100	57	65	15	100	0	.	0	.	169	72	23	100	0	.	0	.	4	.	0	.	0	.	0	.	0	.	0	.	0	.	128	72	0	.	111	100	0	.	0	.	14	100	0	.	121	61	0	.	0	.	0	.	76	59	12	100	11	.	0	.	12	100	0	.	3105	13
	oak	153	91	25	.	0	.	0	.	0	.	0	.	11	100	60	71	20	100	0	.	0	.	0	.	50	71	0	.	0	.	0	.	0	.	45	100	0	.	0	.	0	.	0	.	0	.	20	100	72	100	10	100	0	.	101	100	36	100	0	.	0	.	33	100	0	.	0	.	5	100	0	.	0	.	0	.	0	.	1	100	8	78	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	55	72	0	.	44	64	0	.	8	100	0	.	0	.	85	79	149	63	0	.	54	71	12	100	34	100	0	.	31	100	9	100	0	.	0	.	9	.	0	.	0	.	0	.	0	.	0	.	90	100	0	.	16	78	0	.	0	.	0	.	0	.	12	100	77	86	44	62	0	.	0	.	0	.	11	100	0	.	49	.	19	100	48	100	0	.	1516	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	.	141	71	43	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	.	31	100	54	92	143	100	0	.	319	37	377	51	150	65	134	85	655	53	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	135	81	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2180	22
	other broadleaves	47	91	16	.	8	71	0	.	0	.	0	.	154	43	49	52	184	92	51	42	36	88	0	.	0	0	0	.	14	.	0	.	2	100	27	72	0	.	41	76	81	52	20	89	36	97	207	44	38	100	85	45	14	68	13	100	31	82	0	.	12	83	0	.	11	71	7	100	0	.	15	68	21	67	0	.	2	100	28	62	197	71	35	63	0	.	5	100	14	100	4	100	0	.	8	78	1	100	45	141	0	0	0	.	44	100	22	73	99	59	20	96	64	100	217	48	107	55	95	61	34	85	157	53	17	83	0	.	18	100	72	89	4	100	0	.	6	.	6	.	2	100	0	.	0	.	4	100	10	100	132	97	124	86	0	.	123	67	0	.	0	.	111	57	50	45	69	97	0	.	97	.	0	.	0	0	3	100	3	.	74	100	0	.	0	.	3337	12
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	0	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0
	total	274	71	56	.	383	60	414	60	-1	.	72	.	9113	15	6234	18	1387	39	3259	25	386	59	0	.	292	57	177	.	87	.	475	59	1028	47	763	45	0	.	1170	36	2234	28	2017	26	1501	31	5941	17	3019	20	2753	24	974	39	637	49	2533	28	219	72	1362	32	636	46	1057	39	1906	29	631	57	1462	33	1063	35	645	50	195	72	1255	33	1118	47	1547	40	164	.	197	62	477	59	336	72	724	50	617	52	156	74	403	51	664	53	103	100	232	58	932	39	1502	34	1225	33	243	52	1158	33	837	38	1276	25	630	41	1197	35	656	48	193	72	801	44	679	49	782	47	496	52	69	.	10	.	630	48	0	.	75	.	1487	27	220	64	818	39	1028	37	0	.	352	69	0	.	0	.	4042	21	4289	18	3305	21	200	71	155	.	0	.	713	51	273	57	123	.	165	86	151	84	0	.	95058	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	384	37	508	42	801	45	1536	33	2526	29	2875	27	16604	11	6692	13	5681	16	3408	17	3	100	315	64	427	50	0	.	815	45	2879	25	2737	25	1757	29	0	.	4047	22	7096	16	3464	18	7198	16	10126	13	6023	14	2773	22	1529	31	2064	26	5036	21	388	52	1280	28	668	42	529	37	1757	29	1454	33	1501	31	2037	25	868	38	1490	34	2546	25	2069	32	3615	25	1888	25	895	45	566	48	314	67	318	51	2273	26	2092	27	1399	31	840	36	973	38	1361	29	1059	38	2164	27	2046	31	12	100	64	71	24	100	337	53	80	65	399	45	858	42	1480	38	1760	33	1036	46	1574	30	1369	30	931	38	187	51	1143	30	96	51	342	56	2139	21	812	38	947	32	1127	36	325	58	425	55	133	83	359	69	4101	18	4229	17	5916	16	816	38	1119	36	649	37	1241	30	1837	28	768	56	709	47	586	34	0	.	177626	2
	fir	388	46	102	72	119	72	1278	33	557	38	1541	36	1818	26	6228	15	4675	17	3040	22	18	73	120	61	318	53	0	.	263	70	325	55	1166	36	688	49	0	.	525	49	298	36	486	42	282	66	908	38	17	100	3568	20	1478	31	2979	21	1396	26	529	53	1146	36	511	35	587	42	1351	34	331	54	170	62	898	38	862	35	133	60	476	45	550	43	1598	27	139	57	488	39	378	56	208	48	242	37	645	44	741	36	567	36	535	47	298	41	466	57	9	100	126	54	162	100	0	.	0	.	27	100	367	55	260	58	171	69	602	43	25	100	350	48	459	36	446	55	956	39	86	62	65	88	937	37	233	68	342	45	353	49	393	49	477	35	376	46	361	68	408	53	358	70	166	69	125	89	487	49	699	36	371	51	174	50	302	48	979	31	414	38	56	82	25	100	185	82	0	.	60763	4
	pine	76	79	35	71	29	76	72	87	0	.	17	100	445	69	62	66	497	32	418	53	47	100	9	292	162	45	0	.	18	100	168	79	0	.	308	60	110	79	0	.	212	43	569	35	48	100	605	35	1199	30	369	37	16	100	170	56	0	.	107	100	27	100	0	.	0	.	24	100	0	.	147	100	16	100	31	100	0	.	105	72	0	.	43	100	360	39	99	64	104	52	6	231	122	49	47	81	8	100	0	.	89	59	159	55	193	59	0	.	64	78	85	75	0	.	0	.	0	.	0	.	0	.	15	100	0	.	54	100	184	62	0	0	0	.	0	.	0	.	26	71	10	100	0	.	28	100	0	.	22	71	0	.	26	100	0	.	0	.	95	100	0	.	902	31	401	29	717	34	0	.	30	100	220	48	97	58	250	42	169	53	186	65	45	100	0	.	10974	8
	larch	14	73	75	68	67	98	144	69	0	.	0	.	145	60	16	100	150	59	0	.	0	.	0	.	25	72	0	.	0	.	46	100	0	.	25	100	0	.	67	87	412	39	519	39	205	61	2152	17	5106	14	20	100	4	100	15	73	0	.	0	.	0	.	0	.	43	100	0	.	0	.	0	.	14	100	12	100	30	100	208	59	45	100	10	100	39	66	0	.	0	.	17	100	0	.	0	.	0	.	52	100	9	100	46	100	0	.	511	46	491	32	465	40	372	42	0	.	86	72	1204	24	457	37	553	56	0	.	0	.	0	.	175	43	0	.	10	100	0	.	46	100	0	.	13	100	0	.	0	.	12	100	0	.	49	71	0	.	11	100	0	.	29	100	5084	17	2447	19	1387	22	55	100	22	100	16	100	2	100	0	.	50	71	20	100	177	55	0	.	23475	6
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	-7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	73	0	.	2	100	223	45	1280	20	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	525	31	335	34	98	64	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2489	13
	other conifers	36	77	0	.	43	100	42	69	0	.	8	78	38	96	0	.	362	46	2	71	0	.	0	.	0	.	177	.	0	.	0	.	0	.	0	.	0	.	2	100	8	94	0	.	0	.	9	77	28	42	-5	145	60	100	198	89	1	100	0	.	0	.	7	100	0	.	0	.	0	.	0	.	4	100	294	99	-12	114	-16	100	7	86	0	.	57	100	9	100	-19	100	22	71	0	.	0	.	0	.	3	100	0	.	0	.	4	74	0	.	0	.	0	.	0	.	0	.	0	.	50	100	0	.	0	.	0	.	0	.	6	100	0	.	8	100	0	.	0	.	103	100	17	62	0	.	5	100	0	.	0	.	0	.	185	100	0	.	1	100	0	.	0	.	8	86	5	100	2	75	0	.	0	.	13	80	33	74	6	100	0	.	0	.	0	.	0	.	1813	27
	beech	1448	27	816	31	651	32	2113	30	258	46	557	33	2844	25	2903	17	4448	14	3547	16	403	45	984	33	1908	28	0	.	269	64	756	34	1018	31	1260	35	0	.	961	30	680	46	590	31	34	66	565	39	0	.	3594	16	1363	28	823	34	1255	31	428	49	219	35	231	37	224	40	435	34	436	42	36	58	1503	31	570	38	1007	44	953	31	1092	34	1642	26	2108	21	1364	30	1059	27	1077	34	1436	27	525	30	260	85	961	37	555	31	406	40	762	32	0	.	131	63	0	.	764	33	1200	33	617	34	949	31	877	31	465	41	619	43	25	100	231	56	583	45	188	48	401	45	458	48	74	64	1102	30	129	90	109	49	308	33	383	43	1115	32	507	57	578	46	176	55	270	50	264	63	0	.	20	74	937	30	273	43	414	40	418	44	896	30	907	29	708	46	449	43	406	33	0	.	73286	3
	maple	272	38	131	43	108	47	71	45	18	71	245	52	899	22	325	31	209	33	591	24	128	59	101	51	258	41	0	.	73	71	54	61	302	36	55	54	0	.	365	28	136	50	172	89	66	62	116	46	0	.	445	22	153	36	68	44	306	32	76	56	175	42	46	82	100	83	33	46	145	33	24	76	259	55	187	41	56	98	351	40	222	46	611	28	86	52	116	47	146	36	76	48	219	38	200	39	97	42	52	52	264	53	101	55	74	76	12	100	70	73	19	100	21	92	48	74	41	50	11	50	36	79	6	77	148	43	37	90	0	.	190	52	218	41	124	41	27	64	0	.	135	41	0	.	15	83	28	56	45	65	86	51	81	48	13	100	16	100	0	.	8	140	2	100	38	65	282	29	122	47	175	50	29	189	282	34	103	49	201	55	132	61	235	55	0	.	12416	5
	ash	274	37	415	42	170	58	158	65	0	.	335	48	226	57	511	43	664	28	118	53	280	55	44	56	189	49	0	.	198	62	361	56	334	40	395	43	28	100	297	42	46	85	7	183	172	46	89	63	0	.	922	27	615	73	197	50	117	49	75	64	43	58	2	100	5	70	4	100	439	57	0	.	73	65	522	37	311	43	110	47	198	62	376	40	215	42	102	47	52	63	254	50	94	54	337	45	102	97	272	66	416	38	429	42	220	41	11	100	123	100	38	100	53	46	38	55	158	64	102	57	70	61	85	49	133	65	49	65	0	.	284	50	121	57	56	67	171	73	51	77	41	58	71	99	2	100	9	100	23	92	112	58	230	60	52	65	212	69	0	.	236	79	96	47	101	63	240	46	171	70	395	52	122	50	257	34	249	35	146	68	113	47	170	51	0	.	16407	6
	oak	287	60	62	72	0	.	346	49	0	.	0	.	28	60	60	71	606	22	0	.	79	100	3	100	115	56	0	.	8	100	54	100	34	74	64	74	473	55	0	.	0	.	59	100	0	.	20	100	72	100	299	48	92	92	180	67	36	100	51	75	0	.	33	100	2	100	0	.	5	100	0	.	0	.	32	100	27	100	1	100	23	70	0	.	241	52	0	.	20	70	18	95	164	45	16	100	0	.	0	.	118	50	486	70	290	42	0	.	8	100	0	.	51	49	119	58	445	33	102	64	127	41	83	75	44	81	19	100	31	100	15	72	25	100	0	.	70	88	0	.	40	84	176	72	95	58	0	.	405	49	20	100	26	62	253	47	25	100	23	100	25	100	28	60	96	70	82	40	10	100	51	81	41	58	31	74	126	64	155	43	182	59	81	66	0	.	7615	9
	sweet chestnut	0	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	406	49	43	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	.	31	100	277	50	251	67	402	50	556	30	1128	28	426	50	330	47	1510	31	0	.	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	100	0	.	0	.	0	.	0	.	26	100	0	.	168	66	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5569	12
	other broadleaves	283	42	96	38	140	49	88	77	3	100	63	75	789	33	153	28	666	33	99	32	89	53	40	58	81	44	0	.	18	80	361	74	37	47	119	53	21	87	187	47	123	40	114	39	400	38	772	27	414	40	299	38	131	52	65	61	69	50	2	100	26	50	7	100	23	63	48	78	79	55	15	68	24	60	6	100	71	43	158	35	237	62	132	35	37	47	42	50	62	65	175	51	13	100	128	44	19	123	98	82	229	62	121	47	515	85	140	54	188	37	122	67	304	36	521	34	965	26	565	39	392	45	427	35	66	51	158	54	29	67	171	65	282	89	99	52	32	61	125	78	117	50	178	97	6	80	26	56	87	70	151	85	124	86	51	57	123	67	4	100	12	100	353	32	315	34	319	31	7	100	163	63	104	57	66	53	8	58	32	62	142	60	73	66	0	.	15029	7
	indeterminable	0	0	0	.	0	.	0	.	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	.	0	0	0	0	0	.	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	.	0	.	0	.	0	0	0	.	0	0	0	.	0	.	0	0	0	0	0	.	0	0	0	.	0	.	0	0	0	.	0	.	0	0	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	0	0	.	0	0	0	0	0	0	0	.	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	0	0	0	0	0	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	0	0	.	0	0
	total	3462	19	2241	23	2133	26	5849	19	3362	28	5641	22	23829	9	16952	10	17958	10	11223	12	1046	35	1615	31	3482	24	177	.	1662	34	5005	21	5629	18	4671	20	632	51	6452	18	9039	14	5981	16	8408	15	15991	10	14180	10	12284	12	5441	20	6759	18	8215	17	1656	32	2915	24	1505	33	1512	32	3653	22	2890	26	1892	30	4828	21	3385	25	3112	25	4893	20	4442	23	8026	18	5169	18	3113	24	2368	25	2166	28	2607	24	4170	21	3319	23	3403	24	3056	25	3018	28	3885	22	1773	27	3642	20	3195	23	1980	21	2546	22	3490	17	4113	16	2628	21	3715	20	2469	28	1847	33	2591	28	2913	25	2870	25	3015	28	1776	36	679	42	3540	21	896	46	944	36	2863	20	2181	27	2908	23	2732	25	1633	35	1397	37	883	55	1099	45	11249	12	8475	13	10848	12	1826	31	2545	29	1915	26	3884	21	3900	21	2284	29	1958	30	1960	27	0	.	407462	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. 2292750. Birmensdorf, Swiss Federal Research Institute WSL

back