Selection from the list of topics

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

1. What do the numbers stand for?

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

Example 1: Estimated value and standard error

NFI5

volume of deadwood (stemwood)
ownership (2 categories)

regional demarcation: production region

unit: m³/ha

evaluation area: accessible forest without shrub forest

grid: 1.4 km grid, subgrids 1-5

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

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

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2. What is the purpose of the standard error?

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

The statistical certainty is:

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

Example 2: Calculating confidence intervals

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

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

Procedure

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

Answer

			Step 1	Step 2

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

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

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

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

Data: see example 2

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

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

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3. When are two results statistically different?*

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

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

Example 4: Interpretation of two results from the same inventory

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

	case 2						case 1

case 1

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

Procedure

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

Answer

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

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

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

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

Case 2

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

Procedure

See case 1.

Answer

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

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

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

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

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

Example 5: Interpretation of two results from different inventories

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

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

Procedure

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

Answer

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

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

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

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

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

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

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

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

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

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

Procedure

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

Answer

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

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

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

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

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

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

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

Procedure

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

Answer

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

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

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

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

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

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

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

Example 8: Standard error and combination of variable expressions

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

The standard error increases as the level of detail increases.

Large standard errors are to be expected if:

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

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

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

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5. Two types of changes?

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

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

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

The results are:

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

Example 9: : Additivity/non-additivity of changes

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

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

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

Example 10: Average number of years per domain

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

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

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

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

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

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

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

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

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

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

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NFI3
total number of stems
degree of damage · main tree species
regional demarcation: forest district (2024)
unit: n/ha
evaluation area: accessible forest without shrub forest NFI1-NFI5
grid: 1.4 km grid, subgrids 1-5
state 2004/06
		forest district (2024)
		AG01		AG02		AG03		AG04		AI01		AR01		BE01		BE02		BE03		BE04		BSBL01		BSBL02		BSBL03		BSBL04		FR01		FR02		FR03		FR04		GE01		GL01		GR01		GR02		GR03		GR04		GR05		JU01		LU01		LU02		LU03		NE01		NE02		NE03		NE04		NE06		NW01		OW01		OW02		SG01		SG02		SG03		SG04		SG05		SH01		SO01		SO02		SO03		SO04		SZ01		SZ02		SZ03		TG01		TG02		TG03		TI01		TI02		TI03		TI04		TI05		TI06		TI07		TI08		TI09		UR01		UR02		UR03		VD02		VD03		VD04		VD05		VD06		VD07		VD08		VD09		VD11		VD12		VD14		VD15		VD16		VD18		VD20		VD22		VS01		VS02		VS03		ZG01		ZH01		ZH02		ZH03		ZH04		ZH05		ZH06		ZH07		lakes		Switzerland
degree of damage	main tree species	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%
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	.
no damage	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	30	48	74	36	134	50	43	34	291	23	191	21	159	9	94	15	90	15	119	19	5	96	59	52	36	46	0	.	116	41	248	23	83	27	121	27	0	.	169	28	191	12	189	19	171	17	196	11	143	13	68	23	85	28	134	17	209	14	79	59	131	30	104	24	80	37	105	23	264	43	259	20	156	26	123	30	143	36	131	24	102	29	133	18	160	37	76	35	53	49	20	61	14	49	128	16	268	20	95	26	163	37	150	30	177	35	108	34	140	22	135	23	0	.	0	.	1	99	25	53	15	59	20	59	82	46	293	28	261	27	58	40	112	24	119	41	123	34	31	51	104	37	147	53	39	65	198	18	117	58	86	51	157	28	118	79	97	51	28	34	30	75	94	16	166	22	154	14	117	35	175	36	55	43	148	36	120	30	71	39	62	52	103	28	0	.	122	3
	fir	36	63	4	72	13	57	42	28	42	30	84	32	21	27	96	12	61	16	99	17	4	96	13	57	63	37	0	.	45	68	13	56	65	41	50	36	0	.	12	43	9	58	9	40	2	62	10	37	1	100	96	16	108	26	114	14	72	23	60	32	87	25	100	24	63	31	156	27	25	40	22	56	51	40	43	29	2	98	32	35	52	43	44	24	16	56	78	44	34	54	14	48	54	31	42	54	50	32	46	49	62	40	55	31	57	77	0	.	15	53	22	98	0	.	0	.	0	.	19	71	15	66	16	74	116	32	0	.	63	56	59	34	26	43	115	32	33	48	34	93	66	24	90	61	67	50	23	41	46	33	61	25	23	37	90	74	104	56	81	37	32	51	2	67	12	52	19	31	84	36	8	39	19	42	35	27	23	38	6	67	0	.	3	71	0	.	40	4
	pine	16	66	12	48	4	74	2	77	0	.	1	99	6	46	4	80	10	58	18	50	4	95	15	54	13	39	0	.	0	.	6	67	0	.	12	53	92	74	0	.	14	40	16	32	1	99	21	41	55	26	6	41	1	99	8	72	0	.	12	97	9	98	0	.	0	.	0	.	0	.	53	98	3	99	1	98	0	.	0	.	0	.	1	98	26	39	7	60	11	53	22	88	20	52	11	98	1	99	0	.	6	50	9	55	13	52	0	.	7	69	11	98	0	.	0	.	0	.	0	.	0	.	2	99	0	.	0	.	36	63	0	.	0	.	0	.	0	.	10	67	0	.	0	.	7	96	0	.	4	74	0	.	7	75	0	.	0	.	44	88	0	.	61	32	40	34	34	31	0	.	9	97	17	34	3	50	11	41	16	52	23	65	3	71	0	.	13	10
	larch	2	75	3	60	11	97	4	63	0	.	0	.	2	61	0	100	1	63	0	.	0	.	0	.	2	67	0	.	0	.	5	98	0	.	1	99	0	.	0	99	8	36	15	39	17	58	26	25	66	13	0	100	3	99	2	69	0	.	0	.	0	.	0	.	1	97	0	.	0	.	0	.	6	99	1	98	13	97	8	59	1	98	0	.	4	56	0	.	0	.	1	97	0	.	0	.	0	.	2	98	11	98	8	98	0	.	11	43	53	48	49	40	25	56	0	.	2	72	88	25	36	45	24	75	0	.	0	.	1	97	42	35	0	.	0	.	0	.	49	93	0	.	3	91	0	.	0	.	3	98	0	.	3	68	0	.	0	.	0	.	0	.	103	17	67	18	26	22	3	96	1	97	0	.	0	.	0	.	5	67	1	97	11	49	0	.	15	7
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	99	0	.	0	.	5	49	40	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	.	4	98	0	.	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	35	11	37	6	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	17
	other conifers	3	99	0	.	5	97	7	70	0	.	2	98	0	.	0	.	6	31	1	99	0	.	0	.	0	.	310	.	0	.	0	.	0	.	0	.	0	.	0	.	3	99	0	.	0	.	0	100	3	52	1	100	1	99	4	89	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	99	7	98	0	.	2	99	0	.	0	.	4	99	2	98	2	98	5	97	0	.	0	.	0	.	3	98	0	.	0	.	6	73	0	.	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	0	.	6	97	0	.	2	98	0	.	0	.	22	93	11	59	0	.	9	96	0	.	0	.	0	.	4	97	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	8	71	15	98	3	99	0	.	0	.	0	.	0	.	2	17
	beech	91	26	46	29	99	23	163	23	48	39	43	31	36	27	73	15	97	11	156	14	55	54	131	23	160	22	0	.	90	36	74	28	84	35	71	33	0	.	44	25	24	33	34	32	1	99	15	44	0	.	100	16	64	22	87	28	77	23	50	28	75	30	70	21	37	41	61	33	78	43	5	83	93	39	69	25	139	37	103	30	124	24	108	24	164	18	126	24	133	22	74	25	104	24	56	26	23	47	88	29	59	26	34	34	84	22	0	.	13	66	0	.	132	40	101	41	72	33	112	34	208	29	65	40	104	32	0	.	36	48	35	38	21	44	59	48	79	33	86	77	107	29	44	79	70	47	44	28	52	32	121	20	56	43	113	30	21	43	140	22	64	51	0	.	2	72	56	30	47	39	75	38	48	28	62	29	65	26	45	35	70	28	67	30	0	.	65	4
	maple	17	35	15	35	35	50	7	47	1	97	32	44	13	20	12	29	9	33	34	24	22	47	17	46	37	30	0	.	24	81	8	42	23	33	12	53	0	.	34	41	5	51	3	72	7	60	4	46	0	.	21	26	13	39	7	39	17	29	20	51	27	32	35	62	42	81	8	44	25	48	8	82	37	81	29	33	30	66	24	39	23	36	52	32	12	47	20	42	33	45	22	35	40	29	24	34	19	55	9	97	50	37	20	41	17	53	5	98	4	99	2	98	4	98	3	98	5	61	3	69	5	98	0	.	41	35	3	94	0	.	52	44	78	42	61	38	23	56	0	.	14	43	0	.	9	64	7	57	22	39	15	44	30	42	9	95	4	96	0	.	9	66	0	.	5	76	13	32	21	61	43	49	13	41	29	35	10	40	95	50	31	62	77	55	0	.	16	6
	ash	24	37	24	43	49	47	7	69	0	.	33	46	3	41	11	34	9	24	10	49	47	80	21	61	15	47	0	.	16	65	31	49	27	44	19	48	29	90	26	45	2	78	4	70	27	58	7	48	0	.	28	33	29	64	14	36	18	54	18	59	12	72	0	.	3	97	2	98	72	63	0	.	4	69	65	29	58	45	7	56	30	61	35	42	20	54	11	48	6	68	38	48	24	79	49	50	2	98	15	62	65	44	37	39	26	35	3	98	24	99	0	.	2	99	6	71	26	50	19	60	6	73	10	68	22	49	57	62	0	.	29	40	20	57	21	61	55	51	40	36	7	88	11	91	0	.	4	98	4	97	25	80	22	53	17	44	23	70	0	.	42	65	11	78	5	72	4	40	27	53	27	31	46	73	23	30	19	36	19	83	20	48	11	46	0	.	16	7
	oak	31	56	2	73	0	.	6	42	0	.	0	.	1	73	1	87	8	29	0	.	7	72	5	97	24	62	0	.	2	94	1	99	4	72	6	65	363	20	0	.	0	.	2	99	0	.	0	100	1	100	7	36	3	99	5	78	1	99	52	86	0	.	5	96	0	.	0	.	0	.	0	.	0	.	3	98	1	98	0	.	4	72	0	.	13	44	0	.	5	67	1	97	35	57	1	99	0	.	0	.	5	51	34	48	11	41	0	.	0	.	0	.	20	45	22	46	51	32	34	91	14	44	12	74	6	67	0	.	3	97	2	98	9	98	0	.	9	64	0	.	6	87	11	67	64	71	0	.	117	54	0	.	8	49	167	47	27	96	8	88	3	93	5	59	11	60	9	61	0	.	1	97	2	67	2	99	3	78	20	47	13	56	6	81	0	.	8	12
	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	.	8	58	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	.	6	97	29	52	26	68	138	39	73	30	115	26	36	49	21	51	212	29	0	.	0	.	0	.	0	.	1	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	98	0	.	0	.	0	.	0	.	1	99	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	14
	other broadleaves	23	42	15	43	41	37	13	69	3	97	17	61	20	26	9	30	20	36	14	29	46	41	14	44	8	47	0	.	17	54	24	59	3	69	18	66	29	90	32	52	11	37	8	62	46	42	45	34	23	49	29	30	13	42	7	63	10	46	0	.	21	58	4	96	8	66	11	65	9	61	21	59	6	59	2	98	27	40	43	48	30	63	14	50	5	66	17	60	16	58	47	50	6	57	27	47	10	40	26	89	38	59	29	28	14	57	112	68	39	35	31	63	64	41	103	37	213	23	74	27	55	38	54	28	35	38	25	94	18	58	51	56	21	44	19	60	24	54	52	45	15	37	8	91	4	96	10	49	50	61	5	67	25	72	116	48	21	53	13	85	3	93	35	31	30	32	33	24	7	65	40	47	21	61	19	49	0	.	11	44	35	71	9	54	0	.	28	6
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	272	20	196	17	392	17	295	16	385	18	403	14	261	7	299	7	311	7	451	9	190	27	274	17	360	13	310	.	311	20	409	15	288	17	309	13	513	14	318	19	267	10	279	12	273	13	336	8	333	7	355	8	319	12	382	10	403	9	291	17	362	13	318	14	235	23	342	12	473	23	368	20	358	16	344	13	414	20	351	17	365	10	388	13	423	13	337	15	293	16	243	17	297	14	336	13	373	15	282	16	458	16	377	12	405	16	246	32	324	14	280	13	384	17	308	18	483	11	409	13	374	16	414	14	406	20	378	22	424	16	328	15	291	19	393	24	346	18	323	39	329	16	314	30	269	24	287	13	415	20	313	15	344	16	630	22	299	31	315	23	182	33	326	9	350	11	356	9	306	17	380	14	231	21	336	19	254	15	288	18	256	25	291	15	0	.	335	1
slight damage	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	15	45	14	60	11	56	8	36	5	56	15	37	36	11	14	22	17	24	10	46	0	.	4	70	7	84	0	.	46	40	37	35	21	27	19	46	0	.	28	24	45	26	51	21	42	13	34	18	21	18	12	31	15	57	16	30	62	23	3	66	26	51	0	.	5	73	2	54	21	39	38	43	9	50	8	57	19	52	13	30	9	55	9	34	19	35	11	38	4	60	4	97	12	45	6	42	16	43	19	48	8	59	17	48	28	59	26	37	21	38	32	31	0	.	1	98	0	.	4	88	3	99	3	61	23	35	36	46	47	34	17	57	17	48	57	46	19	30	0	.	6	63	54	45	11	53	28	29	7	58	47	56	5	60	4	96	6	67	15	56	18	94	12	21	49	16	18	22	7	67	27	62	20	36	19	44	12	49	15	55	21	42	26	33	0	.	20	4
	fir	0	.	0	.	0	.	2	62	1	97	3	74	2	47	8	38	1	63	3	52	0	.	0	.	0	.	0	.	0	.	1	99	3	82	3	98	0	.	2	61	0	.	3	73	3	71	1	76	0	.	3	46	3	69	3	71	1	75	3	97	5	48	9	64	8	81	2	98	10	52	0	.	3	99	0	.	0	.	5	59	0	.	1	99	0	.	7	63	3	74	0	.	4	75	2	98	0	.	0	.	9	77	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	98	1	98	5	67	0	.	3	97	1	98	0	.	14	57	0	.	0	.	0	.	0	.	0	.	1	99	1	97	4	73	0	.	0	.	2	94	0	.	0	.	3	100	1	80	3	45	0	.	0	.	0	.	0	.	0	.	3	97	0	.	4	74	0	.	2	13
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	100	1	76	0	.	1	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	72	1	52	0	100	0	.	1	99	0	.	1	97	0	.	0	.	0	.	0	.	0	.	3	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	98	0	.	1	98	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	8	88	0	.	1	57	2	99	1	99	0	.	0	.	1	97	0	.	0	.	0	.	0	.	1	97	0	.	0	22
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	99	0	99	0	.	1	57	4	32	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	97	2	77	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	74	0	.	7	48	2	99	0	.	0	.	11	42	4	69	0	.	0	.	0	.	0	.	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	39	7	34	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	97	0	.	1	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	99	3	34	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	61	3	55	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	26
	other conifers	0	.	0	.	0	.	1	99	0	.	2	98	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	93	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	97	2	99	0	.	0	.	0	.	0	.	0	.	0	38
	beech	8	47	3	65	0	.	7	37	1	96	4	59	6	79	4	36	2	49	16	33	2	96	5	55	16	50	0	.	0	.	6	56	16	67	2	99	0	.	2	75	1	65	5	51	0	.	0	100	0	.	3	38	5	50	0	99	9	45	2	97	0	.	0	.	3	97	0	.	17	55	0	.	7	61	11	61	11	56	3	54	4	68	12	63	5	58	13	64	8	52	4	74	12	42	4	60	7	68	1	98	3	75	0	.	3	74	0	.	0	.	0	.	15	50	26	47	11	63	16	47	10	37	0	.	12	49	0	.	0	.	3	76	5	79	5	98	0	.	11	65	4	68	0	.	13	50	3	68	3	97	6	82	3	97	2	96	24	65	0	.	16	61	0	.	0	.	3	69	8	96	1	96	6	58	4	59	8	48	2	67	0	.	2	67	0	.	5	10
	maple	1	99	0	.	0	.	0	.	4	73	2	98	2	47	0	100	0	100	1	76	0	.	5	97	0	.	0	.	0	.	0	.	2	70	0	.	0	.	5	63	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	1	99	0	.	2	98	0	.	0	.	2	98	3	97	0	.	5	73	4	68	0	.	6	58	0	.	3	69	0	.	2	98	0	.	0	.	2	98	3	69	0	.	0	.	2	98	0	.	0	.	8	98	0	.	0	.	0	.	4	67	0	.	0	.	0	.	0	.	10	75	0	.	0	.	6	58	5	67	0	.	4	96	0	.	0	.	0	.	0	.	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	57	0	.	0	.	3	97	0	.	0	.	6	67	0	.	3	97	0	.	1	14
	ash	0	.	0	.	0	.	0	.	0	.	4	69	0	.	0	99	1	75	0	.	0	.	0	.	0	.	0	.	5	95	0	.	1	99	2	99	0	.	4	89	0	.	0	.	0	.	0	.	0	.	1	60	0	.	1	99	0	.	4	97	0	.	0	.	0	.	0	.	11	97	0	.	0	.	6	55	3	98	0	.	0	.	5	71	0	.	0	.	0	.	0	.	0	.	4	98	0	.	0	.	0	.	0	.	2	98	0	.	0	.	0	.	0	.	0	.	0	.	1	98	3	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	97	0	.	0	.	0	.	0	.	0	.	0	.	4	72	0	.	0	.	4	96	0	.	0	.	0	100	0	.	2	49	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	19
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	98	0	.	0	.	1	99	0	.	0	.	4	90	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	1	99	1	99	0	.	0	.	3	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	69	1	98	2	98	0	.	0	.	0	.	0	.	2	98	2	98	0	.	12	97	0	.	0	.	3	91	0	.	0	.	3	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	0	.	0	26
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	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	.	14	97	7	71	7	72	10	98	7	46	6	43	0	.	6	72	6	60	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	26
	other broadleaves	1	99	7	53	0	.	7	98	0	.	0	.	2	63	2	61	0	100	1	70	23	53	0	.	2	98	0	.	0	.	3	69	0	.	6	69	0	.	9	77	2	56	3	59	4	90	4	36	3	47	2	65	3	99	0	.	6	99	0	.	2	98	0	.	8	66	0	.	11	67	0	.	0	.	0	.	3	97	0	.	12	66	2	99	0	.	1	98	0	.	10	98	5	67	4	68	2	98	3	97	4	68	0	.	0	.	6	66	1	99	0	.	5	59	21	49	9	35	3	69	0	.	3	68	3	97	19	94	0	.	8	72	2	98	0	.	4	96	0	.	0	.	0	.	0	.	2	98	0	.	0	.	0	.	0	.	2	96	0	.	0	.	1	70	1	70	2	52	0	.	1	97	0	.	0	.	0	.	0	.	1	96	8	53	0	.	3	11
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	24	36	24	36	11	56	25	28	12	33	30	22	47	13	27	19	22	20	31	23	25	51	15	34	28	34	0	.	51	42	47	29	45	26	32	39	4	90	50	21	50	23	63	18	49	13	42	16	33	12	22	20	25	36	21	25	80	19	13	35	35	36	9	64	24	34	6	52	73	29	41	40	23	35	29	46	41	34	29	20	25	38	33	31	25	31	34	27	16	33	20	53	36	23	24	28	25	36	23	40	27	31	20	42	32	51	58	35	29	33	46	22	32	39	59	24	28	29	37	23	28	26	13	34	54	29	55	37	50	32	40	32	31	28	76	42	43	45	18	47	13	44	57	43	24	29	36	25	14	37	60	43	8	63	6	71	37	50	23	35	33	52	22	19	63	12	32	14	14	57	30	56	33	27	25	34	21	32	26	37	22	39	46	19	0	.	34	3
moderate damage	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	1	69	12	53	0	.	1	69	22	37	18	34	21	16	8	26	5	31	7	37	0	.	0	.	2	98	0	.	14	48	10	60	8	32	2	72	0	.	16	39	17	23	18	29	18	23	19	20	11	20	3	42	15	39	6	41	22	25	3	97	19	32	0	.	5	72	5	81	8	52	13	40	18	57	16	49	16	93	16	50	1	98	11	36	3	62	2	97	13	60	0	.	3	74	10	41	21	34	10	62	9	57	7	50	8	70	8	58	17	44	24	37	0	.	0	.	0	.	0	.	1	98	9	74	19	41	48	47	13	48	8	65	10	38	9	65	15	38	0	.	3	75	0	.	9	52	19	37	3	98	24	33	3	98	8	95	0	.	12	88	10	68	8	32	9	31	9	28	0	.	11	62	7	57	7	70	3	66	2	67	3	66	3	97	0	.	10	5
	fir	1	99	0	.	3	97	4	46	6	57	4	60	1	50	5	26	4	30	8	31	0	.	3	97	1	98	0	.	0	.	1	99	5	88	0	.	0	.	1	73	1	99	2	65	0	.	1	100	0	.	2	41	7	46	14	41	2	59	4	96	2	98	6	95	16	43	0	.	0	.	3	98	3	69	2	67	0	.	1	99	1	98	1	69	1	99	3	75	7	58	0	.	1	98	4	59	5	84	1	98	3	98	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	1	99	0	.	0	.	15	58	0	.	6	66	5	68	3	73	13	50	0	.	0	.	3	98	3	94	8	53	1	98	6	66	2	98	7	56	0	.	7	94	0	.	3	93	0	.	1	65	0	.	0	.	0	.	2	67	2	75	2	55	3	97	0	.	2	97	0	.	2	9
	pine	0	.	1	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	74	0	.	0	.	1	98	0	.	2	96	0	.	0	.	1	98	0	.	0	.	3	60	1	99	0	.	0	.	5	42	1	60	0	.	1	99	0	.	0	.	2	98	0	.	0	.	0	.	0	.	5	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	97	0	.	0	.	0	.	0	.	0	.	1	68	0	.	1	99	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	73	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	44	1	99	3	54	0	.	0	.	1	97	0	.	1	68	1	97	4	97	0	.	0	.	1	18
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	2	79	1	99	1	57	2	38	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	67	4	61	3	98	0	.	0	.	1	99	4	65	0	.	0	.	0	.	0	.	0	.	6	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	97	0	.	0	.	0	.	0	.	6	23	4	45	1	57	0	.	0	.	3	97	0	.	0	.	1	97	0	.	0	.	0	.	1	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	99	1	56	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	49	2	57	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	30
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	4	96	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	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	.	0	.	0	.	0	.	0	.	0	.	0	.	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	72	0	.	0	.	0	.	0	.	0	.	0	39
	beech	4	51	6	45	0	.	11	29	10	40	5	79	7	33	12	24	5	24	22	40	8	52	19	40	31	64	0	.	9	64	11	47	12	35	11	48	0	.	16	47	5	49	9	44	0	.	1	57	0	.	14	26	13	31	2	77	7	43	5	96	2	98	5	95	3	97	1	98	11	57	0	.	21	38	7	71	22	42	9	62	19	65	8	49	16	34	9	35	17	53	15	53	29	30	4	81	1	98	2	68	7	64	0	.	3	69	0	.	1	99	0	.	6	70	33	37	10	43	13	37	20	42	1	99	10	64	0	.	6	67	16	48	2	98	8	58	2	96	0	.	7	40	0	.	0	.	4	59	1	97	13	42	0	.	17	52	4	96	0	.	3	93	0	.	0	.	5	46	3	65	5	73	12	60	8	60	6	59	15	55	3	97	1	96	0	.	7	7
	maple	0	.	1	99	0	.	0	.	0	.	2	98	1	52	0	100	1	77	4	52	7	68	7	69	3	74	0	.	4	96	0	.	1	98	0	.	0	.	8	43	0	99	0	99	0	.	1	100	0	.	1	70	0	.	0	.	0	.	0	.	0	.	0	.	7	66	0	.	5	68	0	.	0	.	2	98	1	98	3	58	5	67	1	99	3	99	1	98	6	57	0	.	0	.	0	.	6	68	0	.	3	74	2	98	0	.	3	98	4	99	0	.	0	.	2	98	1	99	0	.	0	.	0	.	0	.	0	.	0	.	2	98	2	98	3	97	4	96	0	.	2	98	0	.	0	.	0	.	0	.	3	97	3	97	0	.	0	.	0	.	0	.	0	.	0	.	6	43	4	95	0	.	0	.	2	75	1	99	0	.	11	96	0	.	0	.	1	13
	ash	2	74	1	98	0	.	1	99	0	.	4	68	0	100	1	76	1	77	1	99	5	96	0	.	0	.	0	.	0	.	5	75	3	99	2	99	0	.	15	90	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	2	70	0	.	0	.	0	.	0	.	0	.	12	67	0	.	1	99	2	98	0	.	0	.	6	98	0	.	5	75	0	.	5	98	0	.	0	.	3	76	0	.	0	.	6	69	2	98	0	.	5	98	3	99	0	.	0	.	4	68	2	72	1	98	0	.	3	69	9	98	0	.	0	.	0	.	2	98	3	97	4	97	8	93	0	.	0	.	0	.	0	.	0	.	0	.	3	97	0	.	4	96	0	.	0	.	0	100	2	99	0	.	0	.	0	.	3	97	0	.	0	.	0	.	0	.	0	.	0	.	1	19
	oak	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	61	0	.	0	.	0	.	2	98	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	1	76	1	99	0	.	0	.	4	96	0	.	0	.	0	.	0	.	4	96	0	.	0	.	0	.	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	98	2	98	0	.	0	.	0	.	0	.	0	.	0	.	2	74	3	99	0	.	5	73	0	.	0	.	1	97	0	.	0	.	0	.	4	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	1	99	2	69	0	.	1	97	0	.	0	.	0	21
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	71	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	.	3	97	5	64	11	79	7	64	6	49	9	42	1	98	11	43	15	36	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	18
	other broadleaves	4	71	2	99	3	97	3	99	0	.	0	.	4	50	1	70	1	70	1	70	9	96	0	.	8	54	0	.	0	.	0	.	1	99	2	98	0	.	12	70	1	99	0	.	5	61	5	33	2	60	2	57	1	99	1	98	1	99	0	.	2	98	0	.	3	97	4	68	6	97	0	.	0	.	0	.	0	.	0	.	6	66	0	.	2	75	2	98	2	98	13	63	3	97	1	99	0	.	5	68	0	.	0	.	0	.	17	40	2	98	4	68	10	41	13	44	18	34	10	61	7	57	6	47	0	.	19	94	3	97	0	.	8	48	6	97	4	96	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	97	0	.	0	.	0	.	0	.	2	45	5	54	6	35	0	.	0	.	3	97	0	.	0	.	0	.	4	96	0	.	0	.	3	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	.
	total	12	32	22	30	6	67	20	25	37	25	32	27	35	14	28	13	18	15	45	20	29	61	30	38	50	43	0	.	29	32	26	32	31	26	17	35	0	.	67	40	27	16	32	21	24	20	30	14	22	14	24	18	39	18	23	26	34	21	16	43	28	27	15	72	34	32	9	63	46	29	21	35	43	30	30	37	41	43	31	34	38	56	21	33	29	28	18	45	49	31	28	44	38	25	22	34	33	26	17	37	30	27	14	48	13	48	38	26	36	24	45	26	23	28	57	22	44	17	33	23	39	24	38	26	52	30	67	37	33	28	37	37	27	27	42	40	31	30	8	93	16	32	3	94	17	44	24	30	10	47	42	23	18	29	25	43	16	51	12	88	15	58	22	16	24	22	29	18	7	59	16	46	30	33	26	34	15	28	22	44	25	42	6	55	0	.	28	3
severe damage	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	62	2	98	2	97	7	42	14	36	14	40	24	13	9	23	7	24	10	23	0	.	1	97	3	98	0	.	16	51	11	46	12	32	10	34	0	.	16	22	12	24	9	41	15	27	14	19	7	30	1	100	15	36	4	70	7	32	8	96	19	52	13	51	7	59	17	35	20	42	18	38	31	52	2	98	35	73	7	42	4	66	6	67	4	46	5	67	13	98	1	98	0	.	9	38	18	44	6	56	3	75	6	52	5	72	5	75	6	42	3	54	0	.	1	98	0	.	2	99	0	.	2	99	14	56	20	64	17	41	4	56	5	57	2	67	23	43	9	93	15	41	13	60	2	95	14	35	1	97	3	72	6	79	2	96	2	94	0	.	6	94	8	27	14	24	8	26	2	96	5	73	2	67	8	65	4	59	7	48	0	.	4	97	0	.	9	5
	fir	3	69	0	.	0	.	7	38	15	52	5	53	2	45	8	24	3	35	8	31	2	96	0	.	2	98	0	.	7	95	0	.	5	50	1	97	0	.	2	99	1	82	2	76	0	99	1	60	0	.	9	23	6	57	10	36	10	29	4	96	0	.	5	95	1	97	9	40	5	68	5	98	13	38	4	45	4	80	0	.	2	98	5	50	0	.	2	68	2	98	3	97	27	48	1	98	6	52	6	49	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	1	99	2	98	1	99	4	72	0	.	7	97	4	69	2	98	3	98	0	.	0	.	10	69	0	.	5	95	2	98	1	98	3	74	1	98	6	68	0	.	0	.	0	.	0	100	1	99	2	57	0	.	1	97	0	.	8	39	0	.	0	.	4	95	0	.	0	.	3	8
	pine	0	.	3	57	0	.	0	.	0	.	0	.	0	100	0	100	0	57	1	99	0	.	0	.	1	98	0	.	0	.	2	72	0	.	1	98	0	.	0	.	1	99	3	71	0	.	1	60	4	37	0	100	0	.	0	99	0	.	0	.	0	.	0	.	0	.	6	98	0	.	3	98	0	.	0	.	0	.	0	.	0	.	0	.	7	99	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	98	0	.	0	.	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	51	4	56	3	71	0	.	1	97	4	73	0	.	3	59	2	97	0	.	1	97	0	.	1	17
	larch	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	3	85	0	.	4	47	5	30	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	67	13	59	2	98	0	.	0	.	0	.	8	84	3	69	2	77	0	.	0	.	0	.	3	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	32	4	39	1	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	17
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	70	4	33	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	44	3	52	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	24
	other conifers	1	99	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	99	0	.	0	.	0	.	1	70	1	99	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	98	0	.	0	.	2	98	0	.	5	67	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	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	33
	beech	12	30	7	44	0	.	7	41	4	72	3	72	6	28	4	46	7	27	15	29	2	95	19	37	19	55	0	.	7	96	5	50	4	61	5	51	0	.	25	39	2	70	6	53	1	61	2	62	0	.	9	29	7	43	2	81	13	42	7	77	9	57	0	.	12	62	2	68	10	46	0	.	22	45	2	69	9	64	3	83	23	46	14	53	6	41	6	49	20	56	7	58	47	31	2	68	2	98	11	54	2	97	3	98	9	47	0	.	2	75	0	.	6	54	19	49	11	47	11	60	16	41	0	.	20	77	0	.	10	98	13	65	0	.	13	62	7	97	0	.	18	58	0	.	0	.	2	98	4	74	14	43	2	98	4	63	9	76	5	85	5	94	0	.	0	.	4	61	4	96	1	97	8	71	11	36	4	53	3	97	6	67	1	97	0	.	7	7
	maple	3	55	1	98	0	.	4	55	1	96	2	98	3	46	1	100	0	.	2	49	5	96	0	.	0	.	0	.	0	.	1	99	6	58	2	98	0	.	2	74	2	61	4	74	1	99	1	84	0	.	1	100	4	71	0	.	3	61	0	.	3	74	0	.	0	.	0	.	13	50	0	.	7	74	3	98	2	97	8	43	6	98	3	69	1	99	0	.	2	98	1	98	6	67	2	99	0	.	2	67	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	1	99	0	.	0	.	0	.	2	98	0	.	5	67	4	95	0	.	7	68	0	.	0	.	0	.	0	.	7	53	3	97	0	.	4	96	0	.	0	.	0	.	0	.	4	51	0	.	1	96	0	.	10	60	0	.	0	.	3	97	1	97	0	.	2	12
	ash	1	99	2	99	0	.	0	.	0	.	3	98	0	100	2	47	1	44	1	99	27	64	0	.	0	.	0	.	4	96	0	.	6	44	2	99	10	90	7	51	1	99	0	.	3	56	0	100	0	.	6	62	2	75	0	.	1	99	2	97	0	.	0	.	0	.	0	.	7	80	0	.	0	.	2	98	3	53	1	99	0	.	0	.	0	.	0	.	2	98	0	.	2	67	2	98	0	.	3	98	1	98	1	98	4	98	0	.	0	.	0	.	2	98	5	69	0	.	0	.	0	.	2	98	3	98	0	.	0	.	1	97	0	.	3	97	2	96	0	.	0	.	3	91	0	.	0	.	0	.	0	.	2	98	0	.	0	.	0	.	11	64	0	.	1	99	1	82	2	95	0	.	0	.	3	63	0	.	0	.	0	.	0	.	0	.	1	14
	oak	1	99	0	.	0	.	2	74	0	.	0	.	0	.	0	.	0	100	0	.	2	96	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	2	81	0	.	4	96	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	98	0	.	0	.	0	.	1	99	0	.	2	98	0	.	7	83	0	.	0	.	0	.	2	98	2	98	3	75	0	.	0	.	0	.	0	.	3	99	9	70	0	.	2	98	2	99	0	.	0	.	0	.	0	.	2	98	0	.	0	.	0	.	2	98	0	.	0	.	0	.	0	.	1	98	0	.	2	95	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	1	97	0	.	0	.	0	.	1	97	1	97	0	.	1	22
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	75	0	.	0	.	0	.	0	.	0	.	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	97	12	43	5	97	29	41	17	51	38	35	2	76	4	58	39	30	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	.	2	18
	other broadleaves	0	.	5	55	1	97	1	99	0	.	0	.	2	35	1	57	1	70	2	61	12	53	5	73	2	98	0	.	4	96	0	.	1	99	2	98	0	.	1	99	0	.	5	55	10	48	7	30	3	56	3	57	4	56	0	.	2	70	0	.	7	71	0	.	0	.	0	.	6	97	2	98	3	69	2	98	10	76	2	73	17	67	3	59	1	99	0	.	0	.	9	47	0	.	5	82	0	.	9	97	2	97	0	.	0	.	17	67	5	71	2	98	13	56	13	31	19	34	7	38	2	98	2	98	3	97	0	.	0	.	6	98	0	.	0	.	0	.	7	93	0	.	0	.	0	.	0	.	0	.	7	70	0	.	0	.	2	96	13	85	0	.	6	50	5	41	6	48	1	97	0	.	0	.	2	98	0	.	3	97	5	73	4	73	0	.	3	9
	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	24	20	20	31	3	71	30	23	35	26	27	27	38	10	25	17	20	15	39	17	49	41	25	35	28	39	0	.	37	38	19	34	35	18	23	22	10	90	53	24	21	19	31	27	30	22	37	16	24	15	28	22	38	20	20	25	37	17	24	37	38	28	17	55	20	38	33	24	61	29	28	28	76	25	16	31	65	41	22	26	55	50	30	44	20	37	16	34	42	37	26	35	89	20	20	33	26	31	37	29	12	47	13	40	22	40	25	45	37	25	13	40	50	26	58	31	79	21	30	31	29	25	50	23	44	38	20	64	39	36	32	30	10	41	26	40	36	32	16	60	54	27	16	46	7	70	18	38	6	56	36	29	14	43	14	37	17	54	18	85	22	36	25	18	30	18	29	20	8	48	10	37	15	48	42	22	10	34	15	32	20	30	12	45	0	.	30	3
very severe damage	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	.	1	98	5	72	0	.	5	22	1	61	1	41	1	62	0	.	0	.	0	.	0	.	2	96	3	76	2	49	4	68	0	.	7	43	4	51	3	60	4	36	3	34	2	71	1	100	3	58	0	.	1	99	0	.	2	98	0	.	0	.	2	98	0	.	5	68	8	76	0	.	0	.	4	54	1	98	2	98	3	69	2	98	0	.	1	97	2	98	1	99	3	55	0	.	0	.	0	.	0	.	0	.	1	98	3	74	0	.	0	.	0	.	0	.	0	.	1	99	4	73	0	.	5	59	2	67	0	.	0	.	0	.	0	.	0	.	0	.	2	95	2	55	0	.	1	98	0	.	0	.	0	.	5	85	0	.	2	47	0	.	2	38	4	97	0	.	3	97	1	99	2	98	3	97	0	.	0	.	0	.	2	10
	fir	0	.	0	.	0	.	0	.	0	.	1	98	0	100	2	40	1	45	1	49	0	.	0	.	5	67	0	.	4	96	0	.	3	60	0	.	0	.	1	99	0	.	2	79	0	.	0	100	0	100	0	100	1	99	0	.	1	99	0	.	1	98	0	.	0	.	0	.	0	.	3	98	0	.	0	.	2	68	1	99	0	.	1	99	0	.	3	74	1	98	1	97	2	98	0	.	4	59	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	1	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	85	0	.	0	100	1	99	1	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	15
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	95	0	.	1	98	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	0	.	0	.	2	99	1	71	1	100	0	.	0	99	0	.	0	.	0	.	0	.	0	.	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	76	0	.	2	66	0	.	0	.	3	53	1	98	0	.	0	.	0	.	0	.	0	.	0	31
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	99	1	81	1	52	0	.	0	.	0	.	0	.	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	97	2	99	4	98	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	49	0	.	1	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	27
	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	99	1	67	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	70	0	99	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	42
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	2	99	0	.	0	.	2	99	2	44	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	99	1	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	33
	beech	2	69	0	.	0	.	2	98	0	.	0	.	1	54	2	38	2	44	3	40	6	67	6	58	3	98	0	.	4	96	3	60	2	75	1	68	0	.	19	48	4	70	3	57	0	99	0	100	0	.	4	42	1	99	0	.	5	59	0	.	1	98	5	95	3	97	0	.	3	97	3	98	7	44	5	69	4	46	1	99	4	73	2	56	1	99	2	68	3	74	5	62	12	39	2	68	2	98	3	98	12	73	0	.	3	98	0	.	0	.	0	.	9	54	4	68	1	69	6	68	0	.	0	.	4	72	0	.	0	.	4	74	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	1	97	1	98	0	.	2	96	0	.	0	.	0	.	0	.	0	.	1	84	0	.	0	.	0	.	6	55	2	55	0	.	1	97	0	.	0	.	2	11
	maple	1	98	1	98	0	.	2	76	0	.	0	.	1	60	0	100	0	100	2	53	0	.	1	97	0	.	0	.	0	.	2	98	5	70	3	69	0	.	5	53	1	78	0	.	2	99	0	.	0	.	2	74	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	97	0	.	2	99	0	.	0	.	2	73	5	67	0	.	0	.	2	98	5	68	3	97	2	98	0	.	3	98	0	.	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	99	1	100	0	.	0	.	0	.	2	99	2	99	3	97	0	.	0	.	0	.	1	16
	ash	1	99	1	99	0	.	0	.	0	.	2	98	1	100	0	99	0	.	1	99	0	.	0	.	0	.	0	.	5	96	2	99	1	99	0	.	0	.	13	73	0	.	0	.	1	99	0	.	0	.	0	100	0	.	0	.	1	99	2	97	0	.	0	.	0	.	0	.	3	97	0	.	0	.	0	.	2	98	1	99	0	.	1	99	0	.	0	.	0	.	0	.	1	98	2	98	0	.	3	97	5	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	97	0	.	1	28
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	7	97	0	.	0	.	0	.	6	84	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	91	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	2	67	4	96	0	.	0	.	0	33
	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	.	3	61	0	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	.	0	.	0	.	0	.	0	.	3	97	1	99	8	73	2	98	8	70	15	38	2	60	2	72	16	33	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	19
	other broadleaves	1	99	2	77	0	.	2	75	3	97	0	.	2	40	1	100	0	100	1	99	2	96	0	.	0	.	0	.	4	96	2	99	0	.	0	.	0	.	11	62	0	.	2	99	5	48	4	43	0	100	1	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	98	0	.	2	98	0	.	0	.	1	98	0	.	3	97	2	98	1	99	0	.	0	.	0	.	6	68	0	.	0	.	2	98	4	97	0	.	2	98	3	98	0	.	2	98	15	57	18	63	9	39	3	69	0	.	6	78	3	98	0	.	0	.	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	98	0	.	5	95	0	.	0	.	0	.	2	60	0	.	9	57	0	.	8	81	0	.	0	.	0	.	0	.	4	96	3	97	0	.	2	14
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	6	44	4	58	0	.	6	52	8	55	3	74	10	18	7	25	6	22	9	24	9	43	7	49	8	47	0	.	20	59	11	44	13	38	9	37	0	.	57	27	10	38	10	35	13	30	15	29	9	29	9	29	7	41	0	99	8	45	2	97	4	62	5	95	3	97	6	54	9	52	13	49	17	41	5	69	12	34	9	49	13	47	7	42	6	43	9	52	9	43	10	55	34	29	4	52	13	41	10	46	29	63	0	.	4	69	8	53	3	64	16	42	26	36	30	41	25	26	13	41	4	57	23	36	10	56	0	.	11	76	8	44	1	97	0	.	0	.	0	.	1	98	3	91	2	95	2	55	1	97	4	60	0	.	6	71	0	.	11	85	0	.	9	26	4	65	20	30	4	97	8	81	6	50	9	40	5	45	8	59	9	55	4	97	0	.	10	6
dead	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	3	58	6	65	5	66	13	48	28	50	28	29	59	17	12	26	5	32	12	29	2	95	10	70	9	73	50	.	38	37	52	42	66	36	11	32	0	.	34	34	28	23	36	35	37	27	30	23	15	26	5	39	24	53	7	49	55	40	0	.	7	54	4	96	0	.	11	58	32	37	36	48	23	52	27	49	11	39	25	33	27	60	30	42	9	39	18	43	10	70	3	97	1	98	14	60	74	63	12	50	0	.	18	46	14	80	4	97	13	34	14	47	0	.	0	.	1	99	2	75	4	58	3	99	5	59	20	94	75	35	4	60	14	59	34	53	30	45	7	93	18	40	23	91	0	.	12	40	5	98	5	67	30	48	13	96	4	96	0	.	18	47	22	24	33	31	37	26	14	50	17	58	19	50	7	40	5	55	7	57	0	.	9	47	0	.	21	6
	fir	2	75	0	.	3	97	10	52	0	.	14	52	3	40	10	30	6	30	8	29	9	64	0	.	7	56	0	.	9	65	5	55	4	59	4	81	0	.	2	69	2	69	8	66	3	79	2	58	0	.	14	34	7	44	5	37	11	37	7	97	0	.	0	.	0	.	2	98	10	67	12	56	1	98	9	76	8	69	4	56	2	98	3	60	0	.	12	57	7	72	0	.	28	57	7	87	4	98	9	70	2	98	0	.	0	.	0	.	3	70	1	98	0	.	0	.	0	.	0	.	1	98	0	.	16	63	0	.	10	86	7	55	8	61	7	70	0	.	0	.	9	40	7	94	0	.	1	99	6	66	4	75	0	.	0	.	11	78	5	85	0	.	0	100	0	.	3	41	4	95	0	.	4	96	3	69	2	98	0	.	0	.	0	.	0	.	4	8
	pine	11	77	0	.	0	.	0	.	0	.	0	.	3	65	0	.	1	70	1	72	0	.	0	.	3	74	0	.	0	.	5	99	0	.	2	98	4	90	0	.	1	99	3	52	0	.	2	49	9	35	2	60	0	.	1	98	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	10	99	0	.	0	.	0	.	0	.	0	.	1	99	0	.	2	98	6	97	1	97	3	98	0	.	0	.	0	.	1	98	4	98	0	.	1	99	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	97	4	97	0	.	0	.	0	.	14	93	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	36	6	54	11	33	0	.	0	.	1	96	3	61	0	.	0	.	3	97	0	.	0	.	2	14
	larch	0	.	0	.	0	.	0	.	0	.	0	.	1	85	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	0	.	2	74	1	99	2	71	5	36	6	34	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	67	7	53	4	68	1	98	0	.	0	.	5	79	2	98	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	98	0	.	3	97	0	.	0	.	0	.	0	.	19	25	10	34	9	59	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	14
	Arolla pine	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	.	3	49	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	41
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	99	0	.	0	.	1	99	2	65	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	93	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	44
	beech	2	99	7	42	0	.	9	38	10	53	4	68	3	42	4	40	2	43	3	51	5	96	8	55	14	54	0	.	0	.	1	98	2	71	10	64	0	.	15	36	2	72	3	71	0	99	0	.	0	.	5	45	2	72	1	99	12	57	0	.	0	.	0	.	0	.	2	98	3	97	0	.	7	48	0	.	22	56	2	73	25	50	6	69	4	55	1	98	12	48	8	97	0	.	0	.	4	99	13	72	0	.	0	.	2	98	0	.	0	.	0	.	3	74	7	58	5	77	3	71	6	55	5	98	3	98	0	.	0	.	8	55	0	.	6	67	4	96	0	.	8	46	0	.	0	.	2	98	5	67	5	67	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	74	0	.	1	97	0	.	2	98	12	47	3	97	0	.	0	.	0	.	3	9
	maple	2	76	2	99	0	.	1	99	0	.	0	.	1	70	0	.	0	100	1	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	88	2	99	0	.	0	.	0	.	0	.	2	72	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	59	4	50	0	.	2	99	0	.	0	.	0	.	0	.	2	98	2	99	4	68	0	.	2	98	0	.	0	.	0	.	0	.	0	.	0	.	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	98	10	54	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	72	0	.	0	.	0	.	0	.	0	.	0	.	3	57	0	.	0	.	3	97	7	57	2	99	3	97	0	.	0	.	0	.	1	17
	ash	1	99	3	99	0	.	1	99	0	.	5	58	0	75	1	100	0	100	1	99	0	.	0	.	0	.	0	.	0	.	2	99	1	99	2	99	0	.	8	82	0	.	0	99	4	77	0	.	0	.	2	72	0	.	1	98	2	99	0	.	2	98	0	.	0	.	0	.	3	97	0	.	0	.	5	98	0	.	0	.	2	98	2	98	0	.	0	.	0	.	0	.	0	.	4	68	0	.	0	.	2	97	2	98	0	.	8	98	0	.	0	.	0	.	0	.	3	69	1	99	0	.	3	98	0	.	0	.	0	.	4	73	0	.	6	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	98	2	98	0	.	4	96	0	.	0	.	0	.	1	99	2	78	0	.	0	.	0	.	6	80	2	99	3	97	0	.	0	.	0	.	1	17
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	70	0	.	0	.	0	.	8	73	0	.	2	95	0	.	0	.	0	.	115	49	0	.	0	.	0	.	0	.	0	.	0	.	3	63	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	98	0	.	0	.	0	.	4	55	0	.	5	98	0	.	3	97	0	.	0	.	0	.	0	.	3	74	0	.	0	.	0	.	0	.	0	.	0	.	4	55	0	.	0	.	0	.	0	.	0	.	0	.	3	97	2	98	0	.	0	.	0	.	0	.	8	91	0	.	0	.	3	97	0	.	5	97	0	.	0	.	0	.	0	.	0	.	1	99	1	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	97	0	.	1	23
	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	.	4	52	0	.	0	.	0	.	0	.	0	.	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	97	5	64	12	69	28	58	34	40	66	26	3	69	16	94	70	31	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	16
	other broadleaves	2	75	5	55	0	.	0	.	3	97	3	99	3	42	1	57	2	59	2	57	5	96	1	97	7	71	0	.	26	68	3	69	3	73	12	56	10	90	4	56	7	52	11	89	11	42	14	37	2	56	3	45	1	99	3	69	13	46	0	.	4	98	0	.	13	96	0	.	0	.	15	98	3	69	0	.	9	59	15	71	3	97	5	99	1	99	0	.	0	.	6	57	0	.	4	68	2	98	25	69	0	.	0	.	3	74	6	97	9	59	2	98	23	40	34	33	28	31	29	26	6	72	13	54	6	58	13	94	9	70	19	73	14	56	16	59	11	71	57	80	0	.	0	.	0	.	4	67	0	.	3	98	10	76	10	63	4	96	0	.	0	.	5	36	5	41	9	35	4	97	3	97	0	.	4	69	2	99	8	71	0	.	3	97	0	.	6	8
	indeterminable	0	.	0	.	0	.	0	.	0	.	6	55	3	33	0	.	0	99	1	70	0	.	0	.	0	.	0	.	10	95	3	99	0	.	2	99	0	.	1	99	2	52	0	.	2	57	2	49	2	44	0	.	0	.	0	.	2	70	0	.	0	.	0	.	0	.	0	.	0	.	2	98	0	.	0	.	5	68	1	99	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	98	0	.	0	.	4	99	0	.	0	.	0	.	6	59	3	69	0	.	2	98	0	.	0	.	3	97	8	97	4	68	0	.	3	97	0	.	0	.	7	94	0	.	0	.	0	.	0	.	0	.	4	96	0	.	0	.	0	.	1	73	1	70	3	50	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	13
	total	23	40	22	33	8	71	35	23	40	44	60	25	76	14	28	18	17	20	31	18	21	36	19	46	49	26	50	.	84	36	70	33	76	30	44	29	129	42	70	21	49	17	62	28	60	20	61	14	40	15	36	18	36	39	17	31	96	24	7	97	14	52	4	96	13	96	16	42	48	26	65	35	44	48	41	38	63	29	56	24	62	34	48	27	20	33	31	34	35	34	23	57	36	44	33	34	87	53	59	33	7	54	27	33	22	67	26	38	42	22	35	34	54	31	77	22	113	17	45	21	34	46	96	23	30	41	33	63	101	25	57	47	44	29	78	34	48	44	86	51	37	25	45	62	0	.	18	37	25	44	19	29	54	35	27	62	24	47	5	85	18	47	57	17	55	20	82	17	22	44	22	51	28	37	33	32	23	35	23	48	3	97	13	47	0	.	46	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	52	33	107	36	153	46	72	25	365	19	266	18	303	7	138	13	126	14	160	17	7	70	74	48	57	46	50	.	232	31	360	24	192	19	168	22	0	.	272	24	296	12	305	14	287	13	296	10	199	11	89	22	157	26	166	17	357	14	93	59	204	25	121	23	97	34	143	20	346	37	369	22	245	28	177	27	224	33	195	21	145	31	192	18	196	33	114	28	92	55	28	56	33	36	168	17	401	21	141	23	183	33	197	29	232	36	151	32	196	20	211	21	0	.	2	68	2	75	33	53	22	59	36	58	148	32	418	26	419	23	94	33	157	23	222	36	209	30	47	37	146	31	237	36	63	57	273	13	134	56	166	43	199	28	146	67	109	48	60	32	81	43	145	14	270	17	229	14	143	31	236	38	106	33	190	34	145	29	105	37	86	46	145	26	0	.	184	3
	fir	42	58	4	72	18	53	66	26	63	31	110	29	29	24	129	11	76	15	127	15	15	65	16	55	78	34	0	.	65	63	19	43	84	37	58	38	0	.	20	42	13	44	25	37	9	59	15	37	2	100	124	16	132	23	146	15	98	19	78	36	95	24	119	24	88	33	169	27	49	35	44	46	70	34	58	26	16	66	44	32	58	40	55	25	17	53	105	38	55	46	17	43	116	32	55	50	69	28	64	40	78	38	58	29	57	77	0	.	18	52	24	98	0	.	0	.	1	99	21	66	18	59	18	73	155	27	0	.	90	50	77	34	39	43	151	31	33	48	34	93	88	26	99	62	80	42	28	38	61	30	74	23	30	35	96	74	124	53	92	33	35	53	6	90	16	51	27	29	88	35	9	40	26	40	48	25	26	35	12	76	4	95	9	63	0	.	52	4
	pine	27	65	16	43	4	74	2	77	0	.	1	99	9	44	4	77	11	52	22	44	6	95	16	49	20	40	0	.	2	96	13	77	0	.	17	57	95	70	0	.	19	40	23	33	1	99	26	35	76	24	11	42	1	99	13	63	0	.	13	97	11	98	0	.	0	.	8	98	0	.	63	98	13	99	1	98	0	.	0	.	0	.	1	98	34	41	8	62	14	42	29	73	25	52	16	98	1	99	0	.	6	50	10	52	20	49	0	.	8	70	17	98	0	.	0	.	0	.	0	.	0	.	2	99	0	.	0	.	48	52	4	97	0	.	0	.	0	.	24	55	1	98	0	.	7	96	0	.	4	74	0	.	8	77	0	.	0	.	52	88	0	.	78	29	51	31	55	30	0	.	11	97	28	34	7	51	15	36	19	44	31	60	5	62	0	.	18	9
	larch	2	75	3	60	11	97	5	66	0	.	0	.	3	50	0	100	1	65	0	.	0	.	0	.	2	67	0	.	0	.	6	87	0	.	1	68	0	.	0	99	13	47	21	38	20	51	36	25	84	12	0	100	3	99	2	69	0	.	0	.	0	.	0	.	1	97	0	.	0	.	0	.	6	99	1	98	17	97	18	55	1	98	0	.	4	56	0	.	0	.	1	97	0	.	0	.	0	.	2	98	11	98	8	98	0	.	27	46	78	40	69	38	27	56	0	.	2	58	116	26	46	42	28	70	0	.	0	.	1	97	52	36	0	.	0	.	0	.	49	93	0	.	3	91	0	.	0	.	8	98	0	.	7	75	0	.	0	.	0	.	0	.	137	14	91	17	38	29	3	96	1	97	3	97	0	.	0	.	7	68	1	97	12	48	0	.	20	7
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	99	0	.	0	.	6	47	53	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	.	4	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	21	29	19	38	8	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	15
	other conifers	4	73	0	.	5	97	10	56	0	.	4	68	0	.	0	.	6	31	1	70	0	.	0	.	0	.	310	.	0	.	0	.	0	.	0	.	0	.	1	99	11	99	0	.	0	.	3	100	8	43	2	74	1	99	4	89	0	.	0	.	0	.	4	96	0	.	0	.	0	.	0	.	2	99	7	98	2	98	4	99	3	98	0	.	4	99	4	98	2	98	10	57	0	.	0	.	0	.	3	98	0	.	0	.	6	73	0	.	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	0	.	12	97	0	.	2	98	0	.	0	.	36	93	18	58	0	.	9	96	0	.	0	.	0	.	4	97	0	.	0	.	0	.	0	.	1	100	2	99	1	70	0	.	0	.	11	76	22	79	3	99	0	.	0	.	0	.	0	.	3	16
	beech	118	22	70	24	99	23	200	20	73	38	59	27	58	22	99	14	116	11	215	13	77	37	188	20	243	24	0	.	111	33	100	27	120	35	99	31	0	.	121	24	37	34	60	30	3	60	20	42	0	.	134	16	91	21	92	27	123	22	64	31	88	29	79	20	59	32	65	33	122	38	8	63	157	29	94	29	205	35	122	29	199	26	150	25	196	18	157	24	192	21	111	26	204	21	67	27	40	40	118	28	84	21	38	32	103	20	0	.	16	67	0	.	170	36	189	29	110	31	161	32	259	28	70	41	152	32	0	.	51	56	79	33	28	47	90	42	92	34	96	74	145	24	44	79	83	44	56	27	66	28	160	22	60	43	138	29	58	41	145	25	88	50	0	.	2	72	71	28	61	41	84	38	74	32	92	21	97	22	67	33	80	25	71	27	0	.	89	3
	maple	24	28	19	31	35	50	15	49	7	63	39	41	21	21	14	26	11	30	45	21	34	38	30	41	41	28	0	.	28	83	11	39	37	27	16	51	0	.	58	29	9	46	7	49	9	60	6	45	0	.	27	23	18	40	7	39	22	29	20	51	33	32	35	62	49	69	10	47	49	25	8	82	52	79	39	29	39	51	47	35	39	43	61	29	16	52	25	34	46	37	25	34	53	24	30	32	31	43	11	79	60	34	23	46	17	53	16	98	9	99	2	98	4	98	11	67	8	45	3	69	5	98	1	99	52	37	3	94	0	.	62	44	87	38	80	35	35	46	0	.	23	32	0	.	9	64	9	57	22	39	25	29	39	45	9	95	9	96	0	.	9	66	0	.	6	70	29	29	25	66	44	47	19	38	50	29	14	38	106	47	45	56	81	55	0	.	22	5
	ash	30	37	30	43	49	47	9	61	0	.	50	42	5	55	14	30	12	22	13	45	79	63	21	61	15	47	0	.	29	52	38	47	39	38	26	48	39	90	73	57	3	83	4	64	34	57	8	45	0	.	37	29	32	58	15	36	23	50	25	52	15	66	0	.	3	97	2	98	108	58	0	.	5	57	80	30	67	40	9	48	38	49	42	40	25	55	11	48	13	48	38	48	27	70	63	48	2	98	20	59	79	40	43	38	31	38	16	98	26	99	0	.	4	68	15	58	31	51	22	62	8	57	18	59	33	62	57	62	0	.	34	42	22	53	33	62	64	53	47	39	7	88	14	91	0	.	4	98	4	97	31	79	29	55	17	44	36	56	0	.	53	61	12	72	9	72	10	37	29	51	27	31	49	69	32	31	21	33	22	75	20	48	12	47	0	.	21	7
	oak	34	57	2	73	0	.	8	44	0	.	0	.	1	71	1	87	10	26	0	.	9	76	5	97	38	55	0	.	4	63	1	99	7	64	6	65	482	25	0	.	0	.	2	99	0	.	0	100	1	100	11	40	7	55	7	79	3	99	59	88	0	.	5	96	0	.	0	.	4	96	0	.	0	.	3	98	9	87	0	.	4	72	1	99	20	38	0	.	12	69	4	73	51	67	1	99	0	.	0	.	15	44	42	46	14	37	0	.	0	.	0	.	20	45	26	41	69	32	40	88	20	41	18	54	6	67	0	.	4	97	8	70	16	98	0	.	25	79	0	.	8	89	26	65	64	71	0	.	122	52	1	98	13	53	169	47	27	96	8	88	3	93	5	62	12	61	12	49	0	.	1	97	3	53	2	99	5	51	22	43	19	49	8	63	0	.	10	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	.	23	59	1	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	.	30	97	60	45	68	52	214	37	146	26	250	22	44	46	61	56	358	24	0	.	0	.	0	.	0	.	1	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	98	0	.	0	.	0	.	0	.	2	99	0	.	1	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	12
	other broadleaves	30	37	37	32	44	37	26	61	9	71	20	55	33	22	15	25	24	34	22	25	96	41	20	38	29	32	0	.	51	54	32	46	8	44	40	58	39	66	68	42	21	35	29	57	82	39	79	25	34	44	39	28	23	38	10	48	32	36	0	.	37	47	4	96	31	66	17	59	33	51	40	72	13	39	5	67	50	34	60	52	70	53	26	41	11	37	20	54	19	51	85	45	21	45	40	40	14	38	69	77	48	58	29	28	18	56	160	58	56	34	41	57	130	28	203	26	295	20	125	24	70	35	85	29	51	36	76	94	30	57	86	49	45	36	41	39	43	42	116	56	15	37	8	91	4	96	16	42	50	61	18	50	38	68	130	45	29	60	26	85	3	93	51	29	46	31	65	23	12	62	53	47	24	65	25	41	2	99	22	32	49	55	27	35	0	.	45	5
	indeterminable	0	.	0	.	0	.	0	.	0	.	6	55	3	33	0	.	0	99	1	70	0	.	0	.	0	.	0	.	10	95	3	99	0	.	2	99	0	.	1	99	2	52	0	.	2	57	2	49	2	44	0	.	0	.	0	.	2	70	0	.	0	.	0	.	0	.	0	.	0	.	2	98	0	.	0	.	5	68	1	99	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	98	0	.	0	.	4	99	0	.	0	.	0	.	6	59	3	69	0	.	2	98	0	.	0	.	3	97	8	97	4	68	0	.	3	97	0	.	0	.	7	94	0	.	0	.	0	.	0	.	0	.	4	96	0	.	0	.	0	.	1	73	1	70	3	50	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	13
	total	363	17	288	17	420	16	412	13	517	16	555	11	466	5	414	6	394	6	606	7	323	28	370	15	522	11	360	.	532	17	582	14	487	13	434	12	656	13	614	16	425	8	476	9	449	10	520	6	460	6	475	7	464	10	462	9	658	7	353	15	482	10	368	13	329	20	414	11	709	16	534	18	563	15	466	12	635	16	498	14	558	13	528	13	524	12	446	13	444	15	349	17	530	12	440	12	558	15	428	15	563	13	451	13	498	17	400	23	472	11	435	10	569	14	590	10	772	8	567	11	508	15	635	12	596	16	553	21	658	12	503	13	403	15	617	23	504	18	450	29	449	13	437	22	319	21	386	12	470	19	475	15	438	15	709	20	393	27	384	22	271	28	460	7	525	8	548	7	362	15	465	16	342	16	470	16	328	13	381	15	335	20	371	13	0	.	484	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. 2296248. Birmensdorf, Swiss Federal Research Institute WSL

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