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

NFI5
volume of bolewood (HG 2010)
timber assortment classes (HG 2010) · main tree species
regional demarcation: forest district (2024)
unit: 1000 m³
evaluation area: accessible forest without shrub forest
grid: 1.4 km grid, subgrids 1-5
state 2018/26
		forest district (2024)
		AG01		AG02		AG03		AG04		AI01		AR01		BE01		BE02		BE03		BE04		BSBL01		BSBL02		BSBL03		BSBL04		FR01		FR02		FR03		FR04		GE01		GL01		GR01		GR02		GR03		GR04		GR05		JU01		LU01		LU02		LU03		NE01		NE02		NE03		NE04		NE06		NW01		OW01		OW02		SG01		SG02		SG03		SG04		SG05		SH01		SO01		SO02		SO03		SO04		SZ01		SZ02		SZ03		TG01		TG02		TG03		TI01		TI02		TI03		TI04		TI05		TI06		TI07		TI08		TI09		UR01		UR02		UR03		VD02		VD03		VD04		VD05		VD06		VD07		VD08		VD09		VD11		VD12		VD14		VD15		VD16		VD18		VD20		VD22		VS01		VS02		VS03		ZG01		ZH01		ZH02		ZH03		ZH04		ZH05		ZH06		ZH07		lakes		Switzerland
timber assortment classes (HG 2010)	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	fir	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	maple	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
smallwood	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	6	46	10	38	5	57	65	68	50	58	57	53	119	12	45	21	162	28	278	24	4	82	6	63	19	97	0	.	59	88	59	46	85	42	203	46	2	93	20	26	51	18	37	21	61	16	88	14	85	29	226	24	13	37	44	34	36	23	100	69	373	32	84	43	79	56	212	27	20	43	37	36	47	37	68	50	18	42	21	26	3	44	75	48	63	62	55	88	2	86	8	66	2	70	10	29	18	33	7	33	49	49	21	51	34	59	9	35	31	38	18	40	1	100	0	100	0	0	5	41	2	70	6	46	8	42	9	36	21	32	19	43	33	81	17	45	68	48	6	76	332	38	49	69	26	59	181	47	168	48	19	50	85	71	4	58	66	55	2	81	61	55	43	17	62	19	188	27	4	44	8	51	7	47	50	55	28	41	2	63	24	63	17	77	0	.	4983	6
	fir	5	59	0	0	1	89	46	48	9	89	35	78	14	26	93	23	167	26	335	23	0	79	7	56	28	80	0	.	14	75	30	97	49	52	26	55	3	100	3	47	2	60	3	53	1	71	7	35	1	100	609	18	17	34	55	27	19	30	65	52	110	45	105	42	81	40	246	37	2	49	3	48	67	85	38	59	0	100	6	37	2	42	28	52	3	65	19	63	1	68	0	100	6	46	8	57	4	39	4	35	28	70	6	51	4	67	0	100	2	46	1	100	0	.	0	.	0	0	3	54	2	72	1	57	7	43	0	0	6	52	11	39	1	61	9	40	17	67	8	100	81	39	34	96	20	51	49	50	113	40	55	45	38	53	6	58	50	53	10	78	14	83	2	59	17	88	73	83	4	52	0	100	3	53	16	55	10	74	1	100	0	100	3	62	0	.	3079	7
	pine	1	100	0	100	0	100	0	100	0	.	0	0	11	55	2	93	13	61	118	69	1	71	1	85	8	74	0	.	0	0	7	73	0	.	27	70	1	81	0	.	6	61	10	44	1	79	16	33	30	24	32	46	0	0	1	68	0	.	13	100	2	100	0	.	0	.	6	100	0	100	3	100	1	100	0	0	0	.	5	85	0	.	2	100	7	85	1	71	3	96	1	68	2	63	4	68	0	0	0	.	2	76	0	0	1	99	0	.	1	71	3	71	0	.	0	100	0	.	0	.	0	.	0	0	0	.	0	100	2	51	2	100	0	.	0	.	0	.	1	96	0	0	0	.	1	100	0	.	0	76	0	.	0	0	0	.	0	.	3	100	0	.	26	30	19	43	16	29	0	.	0	100	1	68	1	61	2	58	1	62	0	73	0	100	0	.	417	21
	larch	1	90	1	97	3	88	0	100	0	.	0	.	1	48	0	0	0	74	0	.	0	.	0	.	1	100	0	.	0	.	14	100	0	.	10	69	0	.	0	0	4	43	2	58	2	46	15	23	45	25	1	100	1	100	0	78	0	100	0	.	0	.	0	.	1	100	0	.	0	.	0	.	1	100	0	100	2	100	8	75	0	0	0	.	1	71	0	.	0	.	0	0	0	.	0	.	0	.	0	100	1	100	0	100	2	100	2	53	14	45	5	45	20	54	0	.	0	78	19	25	5	39	2	54	0	.	0	.	0	.	6	66	0	.	2	100	0	.	1	100	0	.	6	100	0	.	0	.	0	0	0	.	2	71	0	.	2	100	0	.	48	100	42	17	21	31	27	39	0	0	0	100	0	100	5	93	0	.	0	100	0	0	0	94	0	.	344	16
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	100	2	70	15	24	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	32	2	43	1	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	27	17
	other conifers	0	100	0	.	0	100	1	58	0	.	1	100	1	78	0	.	4	46	1	99	0	.	0	.	0	.	1	.	0	.	0	.	0	.	0	.	0	.	0	100	0	100	1	100	0	.	1	81	1	40	8	74	0	100	22	100	0	100	0	.	0	.	0	100	0	.	0	.	0	.	1	100	0	100	0	100	1	100	1	82	0	71	0	.	0	100	0	100	0	100	1	59	0	.	0	100	0	.	0	100	0	.	0	.	1	77	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	100	0	.	0	.	0	.	0	100	0	.	0	100	0	.	0	.	4	100	3	59	0	.	4	100	0	.	0	.	0	.	0	0	0	.	4	100	0	.	0	.	0	100	0	100	0	86	0	.	0	.	1	63	4	64	1	73	0	.	0	.	0	.	0	.	72	34
	beech	5	30	3	29	1	38	7	29	1	49	2	47	10	25	11	20	14	17	9	18	1	39	3	35	4	36	0	.	1	58	1	45	5	36	3	36	0	.	4	30	4	42	4	39	0	100	3	40	0	.	13	21	5	29	3	49	6	35	0	67	1	84	1	46	1	57	1	47	2	48	1	74	4	36	3	39	4	44	4	30	4	32	6	28	7	23	6	28	4	38	3	39	5	31	3	42	2	71	2	38	2	47	2	55	2	33	0	.	0	55	0	.	3	48	6	37	7	35	7	37	7	31	2	48	3	42	0	100	1	69	2	49	1	60	2	46	2	48	0	100	6	36	1	87	1	98	1	51	0	45	4	35	2	53	1	50	1	48	1	71	1	95	0	.	0	0	4	36	1	62	1	49	1	41	3	39	3	32	2	42	1	43	1	55	0	.	271	4
	maple	1	44	1	55	0	88	0	60	0	100	1	47	5	30	1	46	2	32	1	40	0	53	0	64	1	49	0	.	0	71	0	58	1	45	0	60	0	0	3	46	1	56	1	72	0	77	2	65	0	0	1	44	0	59	1	58	1	54	0	73	1	58	0	100	0	91	0	100	1	50	0	0	1	56	1	49	1	58	2	45	1	46	3	42	0	65	0	63	0	59	0	77	1	55	1	48	0	73	0	59	1	69	0	74	0	100	0	0	0	100	0	100	0	60	1	80	0	71	0	100	1	72	0	0	1	55	0	100	0	0	0	52	1	59	1	55	0	100	0	100	1	81	0	0	0	0	0	0	0	63	0	56	0	95	0	0	0	0	0	.	0	100	0	0	0	78	2	40	0	56	0	79	0	56	1	42	0	58	0	68	0	0	1	84	0	.	56	8
	ash	1	50	1	49	0	0	0	95	0	.	1	73	1	63	1	43	2	37	1	69	1	82	0	100	0	100	0	.	0	100	1	86	1	48	0	60	0	100	1	43	0	100	0	0	1	61	0	76	0	.	2	41	1	49	1	58	0	72	0	58	0	0	0	0	0	0	0	0	3	68	0	.	0	72	1	55	1	63	0	90	1	97	2	60	0	55	0	100	0	76	1	64	0	68	1	46	0	0	1	59	1	56	1	100	0	100	0	0	1	100	0	100	0	89	1	72	1	72	1	74	0	100	0	53	1	73	0	100	0	.	0	65	1	52	0	80	0	66	0	71	0	100	0	0	0	0	0	0	0	0	0	83	1	77	0	0	0	0	0	.	0	100	1	57	1	100	1	75	0	100	1	48	0	100	1	57	2	72	0	78	1	76	0	73	0	.	47	9
	oak	2	62	0	86	0	.	1	51	0	.	0	.	0	100	0	100	3	28	0	.	0	100	0	100	1	79	0	.	0	0	0	100	1	67	0	63	2	59	0	.	0	.	0	100	0	.	1	100	0	100	1	83	0	0	1	65	0	100	0	95	0	.	0	100	0	0	0	.	0	0	0	.	0	.	0	0	1	84	0	100	0	0	0	.	1	55	0	100	0	100	0	0	1	57	0	0	0	.	0	.	0	71	1	54	1	51	0	.	0	0	0	.	0	77	0	74	4	43	1	72	1	60	0	71	0	100	0	0	0	100	0	81	0	100	0	.	0	100	0	0	0	100	0	100	1	60	0	.	3	54	0	100	0	100	1	66	0	0	1	100	0	0	1	67	1	61	1	59	0	100	0	100	0	100	0	100	0	100	0	77	1	59	0	74	0	.	41	11
	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	.	3	50	0	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	2	64	4	70	3	59	6	33	8	36	2	49	2	47	12	38	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	100	0	.	1	57	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	44	14
	other broadleaves	1	71	1	53	0	82	0	100	0	0	0	100	3	32	1	40	2	44	1	44	0	66	0	65	0	86	0	.	0	100	1	72	0	100	1	50	0	64	1	58	0	81	1	82	1	61	5	30	3	58	2	31	1	54	0	66	0	65	0	0	0	100	0	0	0	100	0	100	0	73	0	0	0	0	0	0	1	56	0	49	0	95	0	0	0	0	0	63	0	100	1	60	0	100	1	71	0	100	1	76	1	66	0	86	0	77	0	75	3	46	1	81	1	51	2	34	6	31	2	38	2	52	3	30	0	100	0	82	0	0	1	59	0	62	0	100	0	62	1	79	0	63	1	96	0	59	0	58	0	71	0	61	0	100	0	0	1	71	0	0	0	100	4	37	1	60	2	37	0	100	0	72	0	100	0	57	0	0	0	73	0	78	0	71	0	.	67	7
	indeterminable	0	0	0	.	0	.	0	.	0	.	0	100	0	0	0	0	0	0	0	100	0	100	0	.	0	0	0	.	0	0	0	0	0	.	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	.	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	.	0	0	0	.	0	.	0	0	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	.	0	.	0	0	0	0	0	.	0	.	0	0	0	.	0	.	0	.	0	0	0	0	0	0	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	0	0	.	0	68
	total	22	25	16	29	11	38	122	44	61	58	95	49	165	11	154	18	368	21	745	19	7	50	18	38	62	68	1	.	75	71	114	46	141	35	270	37	9	70	32	20	69	16	58	19	67	15	142	11	180	16	893	16	38	24	128	33	63	19	179	45	487	30	191	38	164	37	465	26	29	33	45	34	122	57	111	42	28	35	48	22	11	27	116	36	84	48	82	60	11	39	15	37	18	29	28	25	24	28	15	25	85	42	31	42	45	46	11	31	54	30	32	28	29	38	17	24	27	19	40	17	22	21	27	21	20	31	10	34	30	28	41	31	37	72	31	37	88	44	21	66	424	33	90	53	54	39	231	42	286	37	79	41	129	51	12	36	124	40	16	71	125	52	125	12	124	21	315	26	10	36	11	38	13	31	81	46	46	40	6	36	27	56	22	59	0	.	9448	4
classes 1 and 2	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	138	37	393	35	219	51	181	47	717	32	602	29	5211	10	1398	18	1538	18	551	23	32	81	87	68	64	51	0	.	171	51	939	31	810	28	493	33	1	100	904	24	2187	15	1482	20	2244	15	3383	12	2264	14	266	40	354	33	645	25	1353	19	61	77	137	52	38	50	50	46	112	40	680	39	783	29	841	30	395	31	627	38	770	26	301	38	539	23	401	35	183	47	118	57	103	50	62	45	441	29	864	26	283	31	475	40	253	38	304	44	277	36	871	35	445	30	44	100	3	77	2	100	204	41	44	56	227	40	326	36	497	40	703	29	274	37	372	26	534	38	283	43	46	68	183	42	91	73	26	71	559	26	85	58	232	46	208	42	106	65	75	66	8	100	41	98	1648	16	1988	19	2031	16	320	36	274	42	183	41	582	43	482	36	71	59	123	65	242	41	0	.	52163	3
	fir	133	72	10	96	52	67	133	33	86	48	340	40	498	25	1391	15	1264	19	458	25	34	65	36	75	145	38	0	.	80	62	28	47	341	46	137	45	0	0	71	43	60	51	55	39	27	78	180	36	34	79	657	23	505	33	802	24	509	25	30	71	75	49	64	64	29	63	143	39	73	40	88	54	215	46	96	37	15	74	131	32	143	61	172	30	42	78	231	46	87	50	38	51	160	43	188	45	134	39	130	42	189	53	177	50	90	79	1	100	58	58	64	100	0	.	0	.	1	100	78	69	44	68	57	57	323	41	20	100	152	47	131	45	75	53	303	41	52	55	14	100	141	36	62	66	116	66	46	56	29	62	128	37	50	54	74	78	35	81	66	71	10	71	50	80	129	51	205	29	165	44	16	67	70	64	157	36	77	35	24	71	0	0	25	92	0	.	13853	5
	pine	24	100	12	71	3	100	3	100	0	.	0	0	69	51	49	80	110	55	143	51	14	73	27	65	68	49	0	.	3	100	11	100	0	.	36	84	40	100	0	.	91	41	61	42	22	78	282	41	598	25	100	60	1	100	53	67	0	.	0	0	22	100	0	.	0	.	30	100	4	100	118	100	32	100	1	100	0	.	52	78	0	.	3	100	127	42	17	62	30	57	41	69	36	62	56	75	2	100	0	.	16	66	21	72	25	61	0	.	32	70	42	92	0	.	3	100	0	.	0	.	0	.	12	100	0	.	8	100	103	57	1	100	0	.	0	.	0	.	11	100	3	100	0	.	14	100	0	.	17	73	0	.	4	100	0	.	0	.	60	100	0	.	555	30	292	31	393	33	0	.	33	100	77	43	19	55	50	48	40	57	13	89	10	100	0	.	4248	9
	larch	10	57	9	60	55	71	15	90	0	.	0	.	63	47	0	0	14	94	0	.	0	.	0	.	4	100	0	.	0	.	21	100	0	.	3	100	0	.	1	100	136	37	131	41	143	46	760	19	1218	14	0	0	3	100	12	71	1	100	0	.	0	.	0	.	0	0	0	.	0	.	0	.	13	100	6	100	28	100	92	61	3	100	0	.	17	65	0	.	0	.	2	100	0	.	0	.	0	.	5	100	9	100	18	100	17	100	61	38	184	37	190	38	144	52	0	.	7	59	628	22	158	36	124	59	0	.	0	.	0	.	87	49	0	.	12	100	0	.	41	100	0	.	0	0	0	.	0	.	0	0	0	.	7	100	0	.	0	0	0	.	0	0	1543	15	693	20	547	39	2	100	3	100	4	100	9	87	0	.	10	71	2	100	14	55	0	.	7276	6
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	72	0	.	12	100	84	42	607	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	.	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	.	182	28	134	36	58	80	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1103	15
	other conifers	15	76	0	.	7	100	55	69	0	.	10	76	42	73	0	.	78	38	1	100	0	.	0	.	0	.	38	.	0	.	0	.	0	.	0	.	0	.	2	100	16	95	4	100	0	.	14	81	37	41	0	0	2	75	3	75	1	100	0	.	0	.	6	100	0	.	0	.	0	.	0	0	6	100	15	76	8	74	16	80	5	80	0	.	7	100	8	100	4	100	25	76	0	.	6	100	0	.	3	100	0	.	0	.	3	72	0	.	0	.	0	.	0	.	0	.	0	.	8	100	1	100	0	.	0	.	0	.	9	100	0	.	8	100	0	.	0	.	0	0	19	61	0	.	0	0	0	.	0	.	0	.	0	0	0	.	0	0	0	.	0	.	5	100	13	100	4	61	0	.	0	.	12	73	28	74	6	83	0	.	0	.	0	.	0	.	548	16
	beech	277	24	151	33	145	39	458	30	54	59	106	47	708	24	848	17	1023	15	1162	18	76	51	224	36	417	34	0	.	114	49	151	43	368	33	273	36	0	.	225	28	173	43	196	36	11	60	256	39	0	.	756	21	283	27	266	36	454	27	64	45	102	35	92	41	74	42	90	41	234	44	26	60	381	34	162	34	299	44	393	37	330	41	396	31	546	27	321	34	312	35	145	35	410	33	235	30	75	42	146	35	160	34	55	45	196	32	0	.	42	69	0	.	400	41	438	33	350	35	560	34	581	33	173	47	300	42	2	100	86	53	132	40	35	47	137	46	135	40	45	97	371	35	43	70	50	60	120	32	95	35	145	32	165	45	110	52	55	53	46	70	46	77	0	.	32	66	490	29	83	45	113	48	101	41	228	26	293	30	82	48	91	37	171	32	0	.	20766	4
	maple	145	31	54	41	15	59	23	46	5	73	166	43	457	24	205	32	177	27	291	25	52	56	63	39	135	38	0	.	17	97	39	60	178	33	58	57	2	100	189	33	57	45	51	53	32	56	76	53	2	100	211	22	118	36	34	43	121	34	62	73	91	34	73	71	82	70	17	51	91	32	2	73	138	62	106	40	94	72	165	40	89	54	218	32	63	53	48	43	62	39	28	56	142	43	80	43	56	43	35	93	105	47	67	52	56	54	26	96	63	71	1	100	33	67	27	70	46	67	18	41	47	69	16	66	94	46	19	76	2	74	100	53	140	52	112	48	24	60	6	78	71	40	0	100	24	64	31	52	37	42	61	57	55	52	14	88	8	100	0	.	49	85	8	88	43	63	273	27	35	59	45	53	49	39	122	35	63	49	160	54	36	68	135	59	0	.	7039	5
	ash	100	42	69	50	36	75	17	48	0	.	142	47	142	56	124	34	177	28	79	40	75	68	26	56	40	53	0	.	38	64	120	59	189	39	70	44	10	100	118	40	11	93	8	61	177	59	79	55	0	.	306	36	55	49	42	46	60	53	29	54	1	72	3	100	2	100	4	100	207	69	0	.	39	56	142	42	47	50	61	50	46	63	150	41	58	43	24	53	23	55	79	59	28	58	135	42	40	86	20	67	97	40	39	51	82	52	19	100	101	100	3	71	39	55	25	61	93	46	99	53	31	59	69	51	60	73	41	64	0	.	43	50	60	51	45	63	136	61	26	51	3	90	2	100	6	77	9	100	4	73	67	85	59	63	24	66	15	96	0	.	15	85	103	46	91	57	121	34	25	80	31	45	23	57	114	39	51	66	60	70	6	59	10	61	0	.	5400	7
	oak	35	66	3	59	0	.	14	57	0	.	0	.	17	69	6	85	117	39	0	.	1	100	2	100	55	55	0	.	3	100	0	100	17	63	32	56	77	54	0	.	0	.	7	100	0	.	13	95	7	100	47	51	15	59	4	77	0	100	28	92	0	.	0	100	0	0	0	.	4	100	0	.	0	.	3	100	16	95	2	100	7	72	0	.	57	52	0	0	18	71	8	76	70	60	1	100	0	.	0	.	33	66	17	73	21	61	0	.	3	100	0	.	36	51	53	57	184	38	52	91	68	43	62	64	8	80	0	0	5	100	30	82	16	100	0	.	32	98	1	100	17	97	9	79	27	87	0	.	177	57	1	100	11	74	148	57	0	0	0	0	2	90	31	65	67	64	51	41	0	0	0	0	2	86	12	95	4	89	20	38	24	63	23	74	0	.	1936	11
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	246	58	9	77	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	32	100	171	43	157	59	347	42	270	32	626	28	144	50	130	47	777	30	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	24	100	0	.	41	85	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2981	12
	other broadleaves	77	32	116	34	77	43	50	59	0	0	37	57	354	21	125	29	232	24	63	30	59	43	19	50	31	45	0	.	22	70	69	48	45	43	74	46	13	55	73	45	93	35	73	47	292	33	488	27	300	38	233	28	58	35	37	74	59	41	0	0	27	47	6	100	16	100	25	69	60	62	9	63	39	57	4	71	45	55	134	34	113	73	72	40	21	54	36	53	17	79	115	56	22	58	67	39	39	55	109	61	73	62	66	44	52	51	122	51	302	48	69	54	202	30	384	29	792	27	351	35	202	34	312	27	56	46	99	62	26	65	67	59	48	42	68	56	37	47	34	67	100	65	8	64	9	74	18	51	57	78	21	47	68	84	45	60	8	70	5	100	1	100	242	26	247	27	248	23	7	64	60	50	75	69	45	43	16	56	28	43	43	55	51	52	0	.	8915	5
	indeterminable	0	0	0	.	0	.	0	.	0	.	1	100	1	73	0	0	0	0	1	100	1	100	0	.	0	100	0	.	0	0	0	0	0	.	0	0	0	.	0	0	3	100	0	0	13	100	15	98	0	0	1	100	0	0	1	100	0	0	0	.	0	.	0	.	0	0	0	0	0	0	0	0	1	100	0	0	2	100	0	0	0	0	0	0	0	.	0	.	4	100	0	.	0	.	0	0	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	0	0	.	3	71	1	100	0	0	0	0	0	0	0	.	0	0	7	86	2	100	0	0	0	0	0	.	0	0	0	.	0	.	1	100	1	100	0	.	0	.	0	0	0	.	0	.	0	.	0	0	0	0	1	100	0	.	0	.	0	.	0	.	5	100	0	0	0	.	0	0	0	.	67	34
	total	953	21	817	25	610	28	950	23	862	30	1404	24	7566	9	4145	11	4729	11	2749	15	344	34	484	33	960	24	38	.	448	34	1379	24	1949	19	1176	22	143	52	1582	18	2844	14	2069	17	2974	14	5877	10	5077	10	2577	14	1394	20	1899	18	2560	16	274	31	457	27	281	36	254	35	421	27	1353	28	1027	27	1704	21	930	25	1182	29	1816	19	1036	29	1551	18	1339	20	869	26	673	29	585	27	930	25	1208	22	1210	22	731	25	1155	26	714	27	846	25	539	27	1828	26	979	22	1245	22	1203	21	2104	17	2143	16	1307	20	1830	18	1166	29	686	33	1086	25	873	23	756	24	1211	31	701	34	226	50	909	25	216	52	273	44	783	23	501	30	655	28	628	28	521	33	197	41	185	65	164	52	4392	11	3730	13	4464	12	637	28	575	29	597	28	1316	25	1048	23	495	31	339	33	680	28	0	.	126293	1
classes 3 and 4	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	153	50	103	39	341	46	448	33	1341	29	1082	30	7414	10	2522	15	1776	21	1546	18	0	0	90	53	221	46	0	.	370	44	1116	27	1313	25	1147	34	0	0	1683	22	3279	16	1554	19	2972	16	3965	13	2324	15	1172	23	582	29	932	26	1817	21	56	58	731	28	260	47	324	40	841	32	642	36	600	35	1063	29	545	36	784	36	998	24	872	34	1419	24	622	29	402	45	143	42	129	73	200	51	879	29	1012	29	695	33	307	41	256	42	381	35	424	38	1285	47	826	28	0	0	15	75	11	100	181	62	64	65	204	40	413	43	770	38	646	32	544	47	824	27	550	32	402	41	70	59	616	34	27	100	151	67	978	22	335	43	380	36	494	44	38	72	149	64	31	100	189	65	1803	17	1684	17	2904	16	552	38	379	36	358	39	531	32	880	29	47	63	156	64	228	48	0	.	75564	3
	fir	143	67	19	71	36	60	486	38	311	41	785	38	1006	26	2985	14	1873	19	1459	20	14	100	61	64	144	58	0	.	155	67	135	53	437	35	324	41	0	0	257	48	178	39	200	45	115	63	341	40	6	100	1887	23	608	32	1430	22	820	26	154	61	490	37	329	40	220	51	750	34	157	59	109	50	375	34	505	35	66	66	293	37	295	47	833	25	100	58	178	36	104	53	103	49	162	40	399	47	313	36	297	39	230	47	115	41	121	76	13	100	100	59	112	100	0	.	0	.	16	100	86	67	172	59	96	73	196	49	4	100	198	54	122	44	271	47	429	36	110	56	42	100	601	34	59	100	124	55	113	57	196	50	299	35	205	54	104	67	289	58	46	73	121	74	66	86	252	51	451	40	106	50	62	62	123	57	438	34	215	37	15	100	16	100	37	59	0	.	28817	4
	pine	29	100	4	100	15	100	35	100	0	.	0	0	312	70	21	73	243	37	97	50	26	100	7	100	96	47	0	.	15	100	27	100	0	.	147	66	44	78	0	.	86	47	297	38	60	75	198	34	441	35	120	42	12	100	115	60	0	.	28	100	0	0	0	.	0	.	18	100	0	0	41	100	10	100	10	100	0	.	24	73	0	.	30	100	158	40	51	60	67	54	18	76	76	50	19	87	6	100	0	.	57	62	81	80	90	72	0	.	55	80	27	71	0	.	0	0	0	.	0	.	0	.	4	100	0	.	42	100	75	64	5	100	0	.	0	.	0	.	13	100	7	100	0	.	8	100	0	.	7	100	0	.	24	100	0	.	0	.	17	100	0	.	196	38	141	34	300	40	0	.	23	100	142	43	31	48	113	45	83	49	37	77	32	100	0	.	4616	9
	larch	17	83	28	72	16	100	47	77	0	.	0	.	67	72	0	0	31	71	0	.	0	.	0	.	14	78	0	.	0	.	0	0	0	.	9	100	0	.	14	100	147	36	185	34	82	38	899	17	1966	15	15	100	0	0	4	100	0	0	0	.	0	.	0	.	27	100	0	.	0	.	0	.	0	0	4	100	0	0	57	66	12	100	0	.	8	100	0	.	0	.	13	100	0	.	0	.	0	.	31	100	0	0	8	100	0	0	160	38	223	37	183	42	151	51	0	.	40	61	437	29	159	35	198	49	0	.	0	.	0	.	75	58	0	.	3	100	0	.	0	0	0	.	12	100	0	.	0	.	0	0	0	.	39	73	0	.	8	100	0	.	0	0	2050	18	901	19	557	22	11	100	10	100	2	100	0	0	0	.	7	71	12	100	85	57	0	.	9024	6
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	80	0	.	0	0	75	52	460	21	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	217	37	128	42	17	62	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	919	15
	other conifers	27	100	0	.	43	100	12	100	0	.	0	0	2	100	0	.	221	47	0	0	0	.	0	.	0	.	139	.	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	0	0	.	0	0	0	0	0	0	24	100	54	83	0	0	0	.	0	.	0	0	0	.	0	.	0	.	0	0	0	0	121	100	0	0	5	100	0	0	0	.	41	100	0	0	0	0	3	100	0	.	0	0	0	.	0	0	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	49	100	0	0	0	.	0	.	0	.	0	0	0	.	0	0	0	.	0	.	50	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	3	100	0	0	0	.	0	.	0	.	0	.	794	30
	beech	706	30	274	29	312	39	817	30	193	49	272	36	1257	29	1511	18	2141	15	1543	17	167	47	586	37	528	30	0	.	151	66	342	45	541	37	587	37	0	.	505	33	354	50	294	37	14	72	196	33	0	.	1667	18	826	27	373	37	608	32	205	50	56	63	137	37	137	54	193	43	205	56	33	63	619	35	282	33	646	44	476	29	505	31	1040	25	1065	23	620	32	481	31	431	37	649	28	295	36	165	80	505	36	241	32	128	52	304	37	0	.	71	53	0	.	220	32	468	30	236	34	397	33	291	33	201	43	318	49	11	100	70	65	289	47	103	64	192	54	217	45	21	100	576	30	106	100	31	58	161	48	210	43	583	34	266	57	401	45	84	50	104	64	67	75	0	.	5	100	292	36	174	50	222	46	221	38	335	33	422	29	293	43	121	41	137	38	0	.	34102	3
	maple	156	44	83	46	34	88	24	52	11	71	57	46	323	27	131	34	178	32	276	28	25	61	47	100	67	53	0	.	16	100	30	63	75	43	15	75	0	0	159	35	58	54	60	81	34	87	27	59	0	0	251	26	45	44	14	58	93	35	27	62	50	47	7	100	52	100	14	72	68	42	24	79	40	58	73	47	93	44	154	37	133	50	328	28	23	84	72	57	69	45	63	50	153	43	74	49	26	75	34	59	106	68	9	74	39	64	0	0	18	100	10	100	0	0	9	100	0	0	0	0	25	82	10	100	36	55	19	71	0	0	48	43	68	62	22	73	6	100	0	0	51	56	9	100	0	0	0	0	27	60	23	68	25	77	15	100	0	0	0	.	39	78	0	0	0	0	92	59	53	52	49	45	26	58	116	31	37	56	15	81	20	74	46	79	0	.	4930	6
	ash	54	63	242	50	0	0	43	91	0	.	95	49	71	57	149	43	315	32	9	59	37	88	9	100	78	58	0	.	84	79	164	73	87	61	128	42	0	0	163	47	15	81	0	0	30	55	22	100	0	.	416	33	232	71	71	63	20	100	25	74	11	100	0	0	0	0	0	0	201	56	0	.	18	100	225	40	102	49	55	48	50	100	153	46	92	52	48	59	14	84	83	47	105	55	98	75	3	100	116	63	108	38	147	57	113	43	0	0	28	100	18	100	7	73	10	100	63	93	9	100	18	71	18	74	44	66	0	0	0	.	78	51	53	67	8	72	126	68	54	100	16	82	0	0	0	0	0	0	22	100	15	72	105	59	30	72	10	100	0	.	27	74	14	65	6	100	78	61	45	84	175	42	28	52	98	45	98	49	77	69	46	62	70	70	0	.	5795	8
	oak	154	52	30	84	0	.	79	61	0	.	0	.	7	71	37	67	230	25	0	.	41	100	0	0	18	88	0	.	11	100	9	100	22	100	44	77	167	53	0	.	0	.	46	100	0	.	14	100	33	100	183	44	34	100	94	62	23	100	16	83	0	.	27	100	0	0	0	.	0	0	0	.	0	.	17	100	9	78	0	0	4	100	0	.	76	63	10	100	0	0	13	100	41	63	8	100	0	.	0	.	28	66	129	38	124	64	0	.	0	0	0	.	11	71	64	78	205	40	26	71	38	52	11	71	23	100	0	0	21	100	5	100	0	0	0	.	49	86	0	0	16	71	49	92	31	71	0	.	105	54	10	100	10	100	61	65	0	0	19	100	3	100	0	0	20	76	23	72	9	100	13	100	37	58	16	72	41	76	70	44	26	67	45	72	0	.	2832	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	.	0	.	93	47	19	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	.	4	100	85	54	71	72	47	56	141	32	275	34	65	45	64	69	286	41	0	.	0	.	0	.	0	.	3	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	6	100	0	.	30	51	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1190	15
	other broadleaves	92	57	29	54	27	61	21	100	0	0	22	81	149	44	32	43	135	41	18	71	25	76	25	87	16	100	0	.	0	0	76	85	13	71	22	71	0	0	74	68	26	80	39	79	25	61	125	39	35	68	217	58	33	84	31	61	13	78	0	0	0	0	0	0	0	0	3	100	9	100	0	0	0	0	0	0	7	100	59	55	19	100	62	47	9	100	0	0	0	0	50	84	18	100	34	84	4	100	0	0	113	55	38	73	31	66	0	0	62	53	36	91	63	54	73	32	218	33	73	45	60	69	191	41	0	0	15	77	0	0	29	65	104	100	0	0	7	100	62	71	15	100	44	100	0	0	0	0	24	61	20	100	42	89	0	0	72	76	0	0	10	100	69	47	22	78	72	59	0	0	99	75	55	65	18	60	0	0	7	100	59	70	19	71	0	.	3410	9
	indeterminable	0	0	0	.	0	.	0	.	0	.	0	0	14	100	0	0	0	0	0	0	0	0	0	.	11	100	0	.	0	0	0	0	0	.	0	0	0	.	0	0	0	0	0	0	0	0	14	100	0	0	0	0	0	0	0	0	0	0	0	.	0	.	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	.	0	0	0	.	0	.	0	0	0	.	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	.	0	.	0	0	0	0	0	.	0	.	0	0	0	.	0	.	0	.	0	0	0	0	0	0	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	0	0	.	51	50
	total	1531	22	813	24	825	31	2012	21	1856	27	2313	25	10627	10	7389	11	7144	11	4949	13	337	39	825	34	1193	27	139	.	801	36	1899	22	2488	20	2423	23	211	52	2855	19	4161	14	2675	16	3331	16	5970	10	5283	11	5928	13	2395	20	3118	18	3392	17	511	38	1338	25	759	35	761	36	1820	23	1282	28	806	31	2125	22	1783	26	1708	28	2122	18	1890	26	3864	17	2195	19	1381	25	877	28	907	30	1404	23	1805	24	1528	25	1677	25	1190	27	910	28	1203	24	601	30	1927	34	1282	24	499	25	780	24	1064	20	1324	19	892	24	1219	21	1029	30	860	35	1010	28	1207	29	1426	24	1205	28	917	35	312	50	1897	22	305	61	346	40	1253	21	926	28	1329	25	1209	28	650	36	612	39	217	62	455	51	4421	12	3159	14	4816	13	949	32	1032	30	991	29	1585	23	1804	23	613	30	491	33	699	30	0	.	172042	1
classes 5 and 6	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	70	0	0	177	70	197	59	344	39	201	37	2602	14	1081	19	634	27	516	35	0	0	87	100	92	54	0	.	71	68	287	40	567	29	187	48	0	0	942	31	1216	23	568	25	1420	20	1601	16	369	26	542	41	293	48	332	37	609	27	26	100	103	54	62	73	45	100	440	39	203	51	105	43	333	40	41	70	355	54	507	33	634	36	966	27	274	51	152	55	10	100	24	100	36	59	446	38	247	53	303	49	84	76	167	58	150	56	241	50	775	48	285	37	0	0	39	71	10	100	77	56	50	71	80	65	149	48	213	45	352	43	167	51	439	34	266	46	124	62	0	0	126	46	0	0	29	100	110	35	130	59	45	84	127	68	0	0	0	0	0	0	106	100	726	27	333	26	1025	22	107	47	198	42	92	56	121	43	146	61	0	0	57	71	42	72	0	.	27456	4
	fir	40	59	16	100	56	73	250	41	84	66	174	49	509	33	1406	20	947	23	270	34	0	0	23	100	31	100	0	.	36	74	122	83	229	51	142	73	0	0	146	51	108	48	144	64	82	60	287	42	0	0	409	38	164	50	537	27	236	32	262	59	254	51	0	0	125	78	160	52	78	61	86	74	261	66	230	49	6	100	166	64	134	55	404	34	10	100	61	75	56	100	20	70	69	100	222	51	119	51	104	40	17	78	0	0	186	72	0	0	14	72	14	100	0	.	0	.	20	100	133	61	48	61	31	86	47	74	0	0	0	0	116	56	173	68	270	46	6	100	0	0	125	60	0	0	17	100	103	100	91	76	68	56	78	61	21	100	93	79	0	0	36	100	0	0	68	78	147	48	66	85	38	71	53	76	296	37	42	51	24	100	0	0	14	73	0	.	11727	6
	pine	0	0	0	0	0	0	14	100	0	.	0	0	7	100	17	100	103	57	15	100	0	0	0	0	20	100	0	.	0	0	0	0	0	.	24	100	0	0	0	.	5	100	150	40	0	0	27	83	44	52	43	85	0	0	10	100	0	.	0	0	0	0	0	.	0	.	0	0	0	0	0	0	0	0	17	100	0	.	0	0	0	.	0	0	5	100	6	100	0	0	0	0	0	0	0	0	0	0	0	.	10	100	5	100	48	71	0	.	0	0	7	100	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	0	.	0	0	0	.	0	.	0	0	0	.	0	0	18	71	15	72	0	.	0	0	6	100	36	100	8	100	12	72	19	100	0	0	0	.	699	17
	larch	5	100	0	0	0	0	5	100	0	.	0	.	22	81	0	0	19	76	0	.	0	.	0	.	0	0	0	.	0	.	0	0	0	.	10	100	0	.	8	100	36	60	87	80	21	72	394	24	691	22	0	0	0	0	0	0	0	0	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	0	0	0	0	0	12	100	18	100	0	.	0	0	0	.	0	.	0	0	0	.	0	.	0	.	5	100	0	0	0	0	0	0	165	68	24	75	62	60	64	59	0	.	23	100	96	40	57	49	114	65	0	.	0	.	0	.	19	73	0	.	0	0	0	.	0	0	0	.	0	0	0	.	0	.	0	0	0	.	0	0	0	.	0	0	0	.	0	0	642	23	312	26	218	31	16	100	5	100	0	0	0	0	0	.	0	0	0	0	32	58	0	.	3181	10
	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	50	72	123	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	.	119	39	51	72	15	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	358	22
	other conifers	5	100	0	.	22	100	0	0	0	.	0	0	0	0	0	.	116	61	0	0	0	.	0	.	0	.	91	.	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	0	0	.	0	0	0	0	0	0	52	100	138	89	0	0	0	.	0	.	0	0	0	.	0	.	0	.	0	0	0	0	207	100	0	0	0	0	0	0	0	.	17	100	0	0	0	0	0	0	0	.	0	0	0	.	0	0	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	18	100	0	0	0	.	0	.	0	.	0	0	0	.	0	0	0	.	0	.	0	0	0	0	0	.	0	0	0	.	0	.	0	.	0	0	0	.	0	0	0	.	0	.	0	0	0	0	0	0	0	.	0	.	0	0	0	0	0	0	0	.	0	.	0	.	0	.	666	41
	beech	250	45	346	42	168	49	414	38	26	71	44	56	411	46	681	28	864	21	283	29	87	60	67	70	250	51	0	.	4	100	91	59	48	55	193	39	0	.	134	48	110	74	99	48	0	0	72	50	0	.	464	31	368	42	101	62	187	51	42	76	0	0	18	60	0	0	0	0	0	0	0	0	216	44	222	75	41	59	194	52	121	41	356	42	259	44	602	43	6	100	235	43	157	48	59	52	51	100	216	67	143	49	135	55	171	58	0	.	26	60	0	.	97	47	126	46	20	73	73	48	14	72	44	58	93	71	13	100	68	76	107	63	27	75	26	73	219	54	0	0	130	61	35	100	0	0	27	60	34	53	84	59	100	60	67	60	55	71	44	67	95	77	0	.	0	0	97	53	42	70	119	58	132	58	253	51	109	49	223	61	101	62	84	57	0	.	11790	6
	maple	39	76	0	0	7	100	0	0	0	0	0	0	37	53	6	100	5	100	16	76	36	76	0	0	10	100	0	.	6	100	7	100	7	100	0	0	0	0	12	100	11	100	5	100	0	0	0	0	0	0	23	100	0	0	0	0	0	0	0	0	24	100	0	0	0	0	0	0	0	0	0	0	0	0	25	100	0	0	17	75	0	0	58	47	0	0	11	100	13	100	0	0	15	71	0	0	0	0	0	0	73	83	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	14	100	0	0	0	0	17	73	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	7	100	83	73	12	100	65	58	0	0	0	0	0	0	24	100	0	.	698	18
	ash	63	69	69	56	0	0	6	100	0	.	0	0	12	100	110	84	47	52	0	0	7	100	0	0	11	72	0	.	13	100	17	71	25	100	24	72	0	0	38	71	22	100	0	0	0	0	0	0	0	.	85	50	38	100	0	0	0	0	0	0	0	0	0	0	0	0	0	0	33	100	0	.	0	0	96	75	63	70	4	100	0	0	0	0	29	80	24	74	0	0	0	0	0	0	34	100	0	0	36	100	46	77	32	60	13	71	0	0	0	0	14	100	0	0	0	0	38	100	0	0	0	0	0	0	0	0	0	0	0	.	0	0	37	69	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	9	71	5	100	11	100	0	.	12	100	0	0	0	0	0	0	15	100	107	79	13	100	13	100	9	100	0	0	5	100	31	64	0	.	1316	15
	oak	36	100	16	100	0	.	184	48	0	.	0	.	0	0	29	67	122	48	0	.	24	100	0	0	0	0	0	.	0	0	46	100	0	0	0	0	65	100	0	.	0	.	7	100	0	.	0	0	7	100	17	100	0	0	51	92	0	0	0	0	0	.	0	0	0	0	0	.	0	0	0	.	0	.	0	0	25	100	0	0	0	0	0	.	10	100	0	0	0	0	0	0	13	100	5	100	0	.	0	.	22	100	292	97	83	61	0	.	0	0	0	.	0	0	13	100	22	72	0	0	0	0	0	0	15	100	0	0	0	0	0	0	0	0	0	.	0	0	0	0	0	0	37	100	0	0	0	.	0	0	5	100	0	0	0	0	0	0	0	0	23	100	0	0	0	0	7	100	0	0	0	0	0	0	17	100	29	100	55	70	44	85	11	73	0	.	1335	25
	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	.	20	74	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	.	0	.	0	.	0	0	105	67	32	100	8	100	60	41	102	57	234	80	28	100	274	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	.	45	62	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	915	26
	other broadleaves	56	61	0	0	6	100	0	0	0	0	6	100	27	65	6	100	55	74	0	0	6	100	0	0	0	0	0	.	0	0	43	83	0	0	32	78	0	0	6	100	0	0	44	100	7	100	7	100	0	0	8	100	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	10	100	0	0	0	0	0	0	8	100	0	0	9	100	0	0	0	0	20	100	0	0	121	100	0	0	0	0	0	0	6	100	0	0	6	100	0	0	0	0	13	73	0	0	14	100	0	0	0	0	176	100	0	0	0	0	27	100	0	0	104	100	0	0	0	0	0	0	5	100	0	0	0	0	24	73	0	0	0	0	14	71	0	0	9	100	0	0	0	0	5	100	0	0	0	0	0	0	0	0	17	100	0	.	897	29
	indeterminable	0	0	0	.	0	.	0	.	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	.	0	0	0	0	0	.	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	.	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	.	0	0	0	.	0	.	0	0	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	.	0	.	0	0	0	0	0	.	0	.	0	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	513	28	448	39	437	38	1070	24	453	38	425	31	3627	13	3336	14	2911	14	1099	22	160	50	178	59	413	36	91	.	130	49	613	35	876	27	613	27	65	100	1286	25	1508	20	1104	24	1529	19	2458	13	1240	17	1591	20	914	27	1168	24	1032	23	329	49	381	43	80	61	170	63	600	31	315	39	191	41	810	31	837	39	490	46	900	26	907	30	1794	21	605	32	856	37	85	83	287	41	290	38	775	31	417	37	663	37	414	39	630	51	771	32	407	40	943	40	413	29	176	35	238	32	242	35	631	34	196	33	555	31	305	40	254	41	430	44	409	39	870	33	562	33	350	47	27	100	381	35	177	66	46	73	240	50	255	55	207	41	327	39	93	49	183	50	44	67	272	56	1501	17	782	19	1579	18	254	38	551	38	313	38	800	29	344	35	314	47	226	45	256	38	0	.	61039	3
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	317	36	507	34	742	43	892	35	2453	29	1941	28	15346	10	5046	14	4111	16	2891	16	36	81	271	54	397	45	0	.	670	43	2402	26	2775	22	2030	28	3	75	3550	22	6733	15	3640	18	6697	15	9038	11	5041	13	2206	22	1242	29	1952	23	3815	19	243	59	1344	27	445	44	499	38	1606	28	1546	34	1525	29	2284	26	1049	30	1785	34	2296	22	1811	33	2999	23	1360	27	792	42	273	46	263	54	299	47	1777	27	2141	26	1287	32	914	35	697	35	869	33	951	36	2962	38	1574	27	44	100	57	71	23	100	467	48	159	58	518	38	895	38	1489	37	1722	28	1004	41	1668	25	1368	30	877	38	123	62	1257	29	167	62	232	51	1828	21	717	38	676	35	913	41	148	65	291	48	41	82	397	66	4220	16	4068	16	6149	15	984	36	859	33	640	34	1283	32	1536	29	120	59	360	50	529	38	0	.	160166	2
	fir	321	60	45	71	146	59	915	33	489	39	1334	36	2027	24	5874	13	4251	16	2521	18	48	69	126	61	348	48	0	.	284	64	315	60	1055	34	629	42	3	100	476	44	348	38	402	46	224	62	814	37	41	82	3561	19	1294	29	2825	20	1584	24	511	53	929	34	497	35	455	42	1298	32	310	51	286	50	917	39	868	35	87	68	596	38	574	45	1437	24	156	59	489	34	248	58	161	45	397	34	816	44	570	35	535	36	464	48	297	42	400	58	15	100	174	52	191	100	0	.	0	.	36	100	299	54	266	60	186	66	573	42	24	100	356	50	380	38	520	53	1011	37	185	51	64	100	948	32	155	84	277	49	311	48	430	44	550	33	371	48	204	69	467	52	122	71	182	68	119	83	467	47	876	34	341	41	116	59	249	50	906	31	345	33	64	83	16	100	78	52	0	.	57477	4
	pine	54	100	17	72	19	100	53	100	0	.	0	0	399	59	89	60	470	36	374	50	41	88	34	60	191	48	0	.	19	100	46	75	0	.	235	70	84	87	0	.	188	43	518	34	83	71	522	34	1114	25	296	39	13	100	180	57	0	.	41	100	24	100	0	.	0	.	53	100	4	100	162	100	43	100	28	100	0	.	82	65	0	.	36	100	298	36	76	61	99	51	60	70	115	51	78	77	8	100	0	.	84	59	107	75	163	66	0	.	89	74	79	75	0	.	3	100	0	.	0	.	0	.	16	100	0	.	51	100	189	59	8	100	0	.	0	.	0	.	25	71	10	100	0	.	23	100	0	.	24	71	0	.	29	100	0	.	0	.	79	100	0	.	778	28	470	28	723	33	0	.	57	100	225	42	87	56	173	41	136	48	70	71	42	100	0	.	9981	8
	larch	32	68	37	64	74	72	67	80	0	.	0	.	153	51	0	0	64	71	0	.	0	.	0	.	20	72	0	.	0	.	35	100	0	.	33	73	0	.	23	100	324	33	405	36	248	41	2069	16	3919	13	16	100	3	100	16	72	1	100	0	.	0	.	0	.	29	100	0	.	0	.	0	.	14	100	10	100	30	100	169	56	32	100	0	.	26	59	0	.	0	.	16	100	0	.	0	.	0	.	40	100	10	100	26	100	19	100	388	44	445	34	440	36	379	43	0	.	70	69	1180	23	379	33	438	50	0	.	0	.	0	.	186	42	0	.	17	100	0	.	42	100	0	.	17	100	0	.	0	.	0	0	0	.	48	71	0	.	10	100	0	.	48	100	4277	16	1926	18	1348	24	28	100	18	100	6	100	14	89	0	.	16	71	14	100	131	54	0	.	19824	6
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	31	68	0	.	13	100	211	46	1204	20	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	523	30	315	38	92	64	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2407	13
	other conifers	47	81	0	.	73	100	67	73	0	.	10	74	46	74	0	.	418	42	2	71	0	.	0	.	0	.	269	.	0	.	0	.	0	.	0	.	0	.	2	100	16	95	5	100	0	.	15	81	39	41	8	74	78	99	216	87	1	100	0	.	0	.	6	100	0	.	0	.	0	.	1	100	6	100	344	99	9	72	22	81	5	79	0	.	65	100	8	100	4	100	30	77	0	.	6	100	0	.	3	100	0	.	0	.	3	73	0	.	0	.	0	.	0	.	0	.	0	.	74	100	1	100	0	.	0	.	0	.	9	100	0	.	8	100	0	.	0	.	54	100	22	60	0	.	4	100	0	.	0	.	0	.	0	0	0	.	4	100	0	.	0	.	6	100	13	100	4	61	0	.	0	.	13	72	36	70	7	82	0	.	0	.	0	.	0	.	2079	26
	beech	1237	27	774	30	626	34	1696	28	274	47	424	34	2385	26	3051	17	4041	14	2998	15	331	43	880	34	1199	28	0	.	271	55	585	44	962	31	1056	35	0	.	869	29	641	45	593	33	25	61	526	33	0	.	2900	17	1482	26	742	32	1255	29	312	42	159	37	247	33	213	46	285	39	441	42	60	58	1221	31	669	40	990	43	1067	28	961	31	1798	25	1878	21	1548	31	802	29	814	34	1222	27	592	30	294	71	869	36	546	31	320	38	673	35	0	.	139	56	0	.	720	32	1038	29	614	32	1037	29	893	29	420	40	713	43	26	100	225	45	529	42	166	49	358	45	574	44	66	74	1083	29	185	90	82	54	308	37	339	38	816	32	534	43	580	45	195	49	195	60	208	75	0	.	36	69	884	29	299	44	455	39	455	38	818	31	826	27	600	46	314	38	392	31	0	.	66928	3
	maple	342	31	138	37	57	72	47	38	16	72	224	41	822	20	343	29	362	24	585	23	114	48	111	56	213	37	0	.	39	72	76	49	261	32	73	57	2	100	362	28	126	40	117	64	66	66	105	46	2	100	486	20	163	31	49	44	215	30	89	54	167	35	80	65	135	81	31	46	160	31	26	79	179	54	204	37	188	54	338	35	223	47	606	27	86	53	132	47	145	38	92	40	311	36	154	38	82	48	69	56	285	58	77	47	95	47	26	96	81	72	11	100	34	67	38	74	46	67	18	41	73	71	26	77	132	41	52	76	2	74	149	46	226	51	134	42	30	65	6	78	123	42	9	100	24	64	31	52	64	37	84	55	92	43	29	72	8	100	0	.	88	64	8	88	43	63	366	28	95	48	177	45	87	44	304	28	100	43	175	51	56	60	206	52	0	.	12723	5
	ash	217	40	382	49	36	75	67	77	0	.	238	46	225	52	384	45	541	27	89	40	120	75	35	49	130	53	0	.	136	67	303	66	303	42	222	39	10	100	320	43	48	77	8	61	208	57	102	64	0	.	807	30	326	69	114	48	80	48	54	61	13	93	3	100	2	100	4	100	443	59	0	.	57	60	464	41	213	47	120	40	96	78	305	39	179	45	96	47	37	58	164	47	133	49	269	45	42	82	172	68	252	34	218	54	209	42	19	100	129	100	35	96	46	51	35	53	195	56	110	56	50	62	88	45	105	68	41	64	0	.	122	47	151	52	53	59	263	64	81	78	20	75	2	100	6	77	9	100	26	91	83	81	174	58	59	63	36	72	0	.	54	71	118	46	98	58	200	42	85	61	315	46	64	49	226	37	160	41	137	67	57	56	111	66	0	.	12558	7
	oak	226	54	49	69	0	.	279	48	0	.	0	.	24	60	72	60	471	23	0	.	66	100	3	100	74	52	0	.	15	100	55	100	39	76	76	58	312	56	0	.	0	.	61	100	0	.	28	98	46	100	248	45	49	81	150	68	23	100	44	73	0	.	27	100	0	0	0	.	4	100	0	.	0	.	21	100	51	73	2	100	11	71	0	.	145	47	10	100	18	71	21	78	124	50	14	100	0	.	0	.	84	53	439	73	229	47	0	.	3	100	0	.	47	46	131	70	415	32	79	65	108	41	73	62	46	88	0	0	26	100	36	72	16	100	0	.	82	91	1	100	33	81	95	70	60	57	0	.	285	49	17	100	21	84	211	49	0	0	20	100	29	93	32	65	88	65	82	41	10	100	13	100	39	58	45	71	74	85	145	41	95	59	81	68	0	.	6143	9
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	363	49	36	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	.	36	100	364	41	264	65	406	43	477	30	1012	27	445	52	224	51	1348	27	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	30	100	0	.	117	63	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5129	11
	other broadleaves	226	43	145	35	110	43	71	70	0	0	65	67	532	24	164	26	424	26	82	28	90	46	45	63	47	50	0	.	22	70	189	66	58	41	129	41	14	55	153	45	119	38	157	56	325	32	625	25	338	38	460	39	92	41	69	57	73	39	0	0	27	47	6	100	16	100	28	71	70	55	9	63	39	57	4	71	53	50	194	33	132	67	144	36	31	49	37	53	17	79	173	50	41	70	111	50	43	53	110	61	207	54	104	44	205	73	123	51	367	45	105	65	273	31	459	28	1023	26	426	33	264	36	519	30	56	46	128	55	26	65	97	60	329	90	68	56	45	46	124	75	115	61	157	98	9	73	18	50	80	70	45	64	110	86	45	60	105	74	5	100	11	100	328	28	271	30	330	24	7	63	159	60	134	61	63	41	16	56	35	47	102	61	88	56	0	.	13289	6
	indeterminable	0	0	0	.	0	.	0	.	0	.	1	100	15	96	0	0	0	0	1	100	1	100	0	.	11	100	0	.	0	0	0	0	0	.	0	0	0	.	0	0	3	100	0	0	13	100	29	71	0	0	1	100	0	0	1	100	0	0	0	.	0	.	0	.	0	0	0	0	0	0	0	0	1	100	0	0	2	100	0	0	0	0	0	0	0	.	0	.	4	100	0	.	0	.	0	0	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	0	0	.	3	71	1	100	0	0	0	0	0	0	0	.	0	0	20	72	2	100	0	0	0	0	0	.	0	0	0	.	0	.	1	100	1	100	0	.	0	.	0	0	0	.	0	.	0	.	0	0	0	0	1	100	0	.	0	.	0	.	0	.	5	100	0	0	0	.	0	0	0	.	118	29
	total	3020	20	2094	23	1884	27	4153	19	3232	28	4237	23	21985	9	15024	10	15152	10	9542	12	848	34	1505	31	2628	24	269	.	1455	34	4006	22	5453	17	4482	20	428	52	5755	18	8582	13	5906	15	7902	14	14447	9	11780	9	10989	12	4741	19	6314	17	7048	16	1294	33	2663	23	1311	32	1349	33	3306	22	2978	25	2069	28	4760	21	3660	25	3408	26	4886	17	3845	25	7325	17	4223	18	3188	23	1646	27	1794	27	2642	22	3816	22	3179	23	3086	24	2845	24	2285	26	2866	21	1558	27	4752	28	2707	22	1949	20	2238	21	3437	16	4137	15	2416	19	3632	17	2520	28	1811	32	2555	26	2530	25	3090	24	3009	27	2055	33	586	46	3611	21	788	47	718	34	2506	20	1967	26	2271	23	2292	26	1275	32	1115	33	462	61	1017	46	10440	11	7795	12	11174	12	1849	30	2169	28	1914	26	3782	21	3243	21	1428	28	1084	30	1657	26	0	.	368822	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. 2275715. Birmensdorf, Swiss Federal Research Institute WSL

back