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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NFI2
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
grid: 1.4-km grid
state 1993/95
		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	48	26	108	32	163	29	91	22	224	18	230	18	218	7	114	8	137	13	91	15	33	43	46	70	41	33	50	.	229	29	226	17	214	12	183	19	8	70	158	21	190	13	191	12	184	10	179	8	121	10	87	17	144	21	144	19	239	12	66	60	131	19	107	26	55	23	114	19	182	29	285	17	177	19	211	19	140	26	132	17	97	31	152	15	122	21	69	24	100	38	122	39	35	47	124	21	263	13	108	18	165	23	160	26	139	34	85	28	98	17	133	20	0	.	4	64	0	100	20	41	7	52	29	34	71	29	226	24	213	23	69	27	98	19	181	20	122	27	142	36	113	22	118	33	68	31	229	12	101	27	108	31	131	23	54	64	112	40	38	36	131	28	81	12	137	14	123	10	156	24	131	30	122	24	134	32	138	22	157	28	101	26	225	27	0	.	132	2
	fir	31	36	9	37	26	54	56	20	61	27	63	23	17	19	109	8	71	13	86	13	6	56	23	40	41	29	0	.	30	56	13	37	60	24	62	31	0	.	19	44	8	41	13	29	4	42	7	31	0	.	73	12	81	19	88	16	58	19	76	31	85	21	97	22	70	29	126	23	25	32	32	43	37	35	53	19	22	38	24	27	41	27	67	21	8	41	44	38	40	35	21	44	55	26	35	31	61	22	44	32	62	28	28	39	22	69	0	.	11	38	10	99	0	.	0	.	0	.	9	48	21	40	13	64	89	25	23	97	27	48	47	30	15	43	100	26	26	36	10	96	51	38	65	36	97	23	28	35	46	28	65	22	38	30	41	34	111	49	125	36	43	62	7	44	7	47	19	29	71	32	11	49	25	40	58	20	31	33	8	61	5	98	11	56	0	.	36	3
	pine	15	43	18	34	18	65	6	38	2	98	0	.	6	33	1	52	5	27	11	45	18	50	29	49	25	40	0	.	6	49	7	51	0	.	14	53	75	81	0	.	23	39	27	31	0	100	17	26	52	19	11	35	0	.	5	73	9	70	11	68	6	85	12	98	0	.	0	.	0	.	33	89	3	72	4	51	0	.	16	56	3	83	1	75	28	42	4	62	13	42	14	78	26	43	10	48	1	76	2	98	11	41	8	57	29	38	0	.	8	70	7	92	0	.	0	.	8	99	0	.	0	.	3	75	23	73	3	97	28	52	1	99	0	.	0	.	0	.	10	80	0	99	17	92	4	81	0	.	8	63	0	.	7	49	1	96	0	.	24	95	0	.	59	23	38	26	21	24	0	.	3	68	16	35	5	61	17	31	20	43	35	33	7	47	0	.	13	7
	larch	4	55	19	64	6	81	4	65	1	98	0	99	2	40	0	100	4	53	1	100	0	.	0	.	2	75	0	.	15	98	5	79	0	.	3	89	0	.	0	99	15	34	19	26	9	56	27	16	62	10	0	70	2	82	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	99	8	92	16	35	1	99	0	.	8	52	0	99	3	99	1	99	0	.	0	.	0	.	2	70	4	87	10	75	1	99	25	30	33	27	26	36	23	37	2	99	1	59	56	17	44	35	20	46	0	.	0	.	1	98	10	50	2	99	2	99	2	98	14	96	0	.	2	98	0	.	0	.	4	99	0	.	10	52	0	.	0	.	0	.	0	.	88	11	76	14	33	17	1	98	1	98	3	69	2	77	0	.	7	59	4	80	8	57	0	.	15	5
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	100	0	.	2	44	36	18	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	99	0	.	3	99	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	.	6	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	32	8	29	5	59	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	14
	other conifers	1	70	1	69	3	99	7	85	2	98	0	.	0	.	0	.	5	33	2	100	13	98	0	.	0	.	440	.	2	74	0	.	0	.	0	.	0	.	0	.	2	70	1	99	0	.	0	.	4	45	0	100	4	76	2	99	0	.	0	.	0	.	2	98	0	.	0	.	5	99	0	.	1	99	5	79	0	.	0	.	0	.	1	99	2	84	0	.	6	99	0	.	0	.	0	.	0	.	1	99	3	99	0	.	8	76	0	.	0	.	0	.	0	.	0	.	0	.	0	99	0	.	0	.	2	98	0	.	5	98	0	.	1	99	0	.	0	.	12	96	16	69	4	98	4	68	0	.	0	.	0	.	2	78	0	.	39	97	0	.	0	.	1	100	0	100	0	.	0	.	0	.	6	53	11	89	1	99	0	.	0	.	0	.	0	.	2	16
	beech	123	12	92	17	90	19	136	18	50	29	74	24	44	22	65	12	99	9	134	11	62	26	154	17	159	15	0	.	94	29	90	21	69	28	109	21	0	.	65	29	21	31	30	28	2	92	14	31	0	.	87	11	88	25	58	22	69	18	46	24	54	24	78	28	51	23	61	22	110	35	20	54	94	28	48	28	116	32	56	26	136	19	107	17	195	14	98	17	137	18	72	21	159	16	80	23	17	36	61	25	41	21	52	28	93	16	0	.	14	44	0	.	123	28	116	27	68	26	95	22	148	25	116	25	68	31	1	97	15	65	52	32	35	40	48	33	65	27	34	61	102	22	62	31	64	31	45	29	55	22	113	23	59	26	155	24	85	26	79	34	84	30	0	.	5	85	39	24	31	23	85	33	45	27	90	20	85	19	87	28	56	22	42	22	0	.	64	3
	maple	29	20	16	33	19	32	21	44	38	51	24	38	17	17	8	23	8	25	27	20	13	39	47	26	20	28	0	.	15	53	11	53	16	29	12	37	6	95	26	35	3	50	2	58	9	46	2	41	0	100	22	16	15	39	6	47	14	28	8	44	14	34	28	54	28	82	5	44	23	27	10	59	19	35	17	28	15	41	21	34	16	39	39	25	12	47	12	65	26	30	17	36	34	26	23	39	17	37	12	39	45	43	17	33	14	52	9	99	3	99	1	99	2	70	4	69	9	43	7	67	5	51	0	.	33	40	6	82	3	98	35	46	60	35	48	25	40	61	0	.	19	37	26	86	11	64	5	51	16	32	23	22	27	53	6	97	9	53	0	.	10	90	2	71	4	46	10	24	16	40	19	56	25	30	36	30	10	36	43	51	21	51	13	60	0	.	14	4
	ash	29	24	23	37	21	32	10	42	14	56	40	35	5	32	9	25	10	25	9	45	55	45	25	67	21	56	0	.	5	70	16	50	31	34	24	37	22	72	14	57	4	54	2	71	13	62	5	38	5	87	29	21	29	56	18	37	12	48	14	78	9	80	3	97	0	.	0	99	30	53	11	83	9	48	53	28	47	38	8	45	24	44	21	31	14	42	3	55	5	58	26	45	29	50	34	39	16	82	9	50	29	38	35	29	24	32	10	72	3	83	4	78	8	58	15	42	29	32	7	48	5	50	12	56	11	68	19	51	4	98	12	38	7	48	11	46	52	32	23	60	7	65	15	43	0	.	2	99	5	73	34	55	33	43	10	54	38	38	0	.	65	46	4	37	6	50	9	29	34	40	26	26	27	46	25	30	27	37	18	54	31	39	11	46	0	.	14	5
	oak	19	36	22	51	5	57	23	37	0	.	0	99	1	53	1	100	11	21	1	100	17	31	27	88	16	54	0	.	3	74	1	99	5	49	9	45	486	27	0	.	0	100	5	85	0	100	3	53	1	100	5	36	5	48	4	92	1	99	57	59	0	.	5	68	0	.	0	.	2	98	0	.	0	99	11	85	5	67	0	.	4	59	0	.	21	23	2	80	7	50	8	61	23	58	2	60	0	.	3	99	5	56	31	46	11	43	0	.	0	.	0	.	12	43	23	33	34	30	17	72	28	59	10	54	2	98	5	97	2	98	29	60	20	70	0	.	12	72	0	.	13	76	39	30	102	47	0	.	84	47	3	83	10	40	121	45	16	83	0	.	17	50	3	43	7	45	6	34	0	.	1	98	3	67	2	79	6	46	9	35	14	43	6	60	0	.	9	8
	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	.	12	48	0	82	0	.	0	.	0	.	0	.	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	99	16	35	31	49	79	33	73	25	117	19	11	39	48	34	107	23	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	83	0	.	3	97	0	.	0	.	1	100	0	.	5	56	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	10
	other broadleaves	33	32	56	24	28	37	13	38	12	61	16	50	20	19	10	41	13	31	13	25	52	32	18	44	15	30	0	.	35	51	13	40	11	36	19	48	51	52	21	31	16	30	10	36	23	24	34	22	20	32	27	21	10	30	6	46	20	40	14	50	12	60	18	84	14	61	7	55	23	43	19	51	13	35	11	89	60	43	34	31	36	44	21	33	7	41	16	57	16	37	40	43	22	35	17	33	16	33	36	60	42	37	51	33	25	52	66	41	39	26	37	30	88	25	109	24	161	17	85	23	40	25	84	19	27	43	68	53	7	58	43	34	54	34	27	34	9	41	58	61	29	42	36	61	10	49	7	50	26	61	7	54	20	59	57	55	26	48	13	93	7	87	23	24	26	31	33	20	10	43	25	43	19	34	14	38	3	57	53	35	20	73	11	43	0	.	28	4
	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	332	7	364	12	379	13	368	8	404	13	449	12	330	6	318	4	364	5	375	6	269	14	370	16	340	12	490	.	434	16	382	10	406	9	435	9	648	20	303	14	282	10	299	8	244	8	303	5	300	5	342	6	377	11	331	10	423	8	291	16	311	9	351	12	219	18	314	10	398	15	410	15	361	11	412	9	416	13	306	11	358	11	410	10	418	8	250	11	353	13	321	14	383	10	324	13	393	11	278	12	406	11	392	13	365	13	203	18	226	10	251	11	334	12	347	11	426	9	308	9	348	13	393	8	326	15	352	16	310	16	298	16	292	16	417	14	327	15	303	21	350	11	383	12	361	14	316	10	346	13	353	12	346	12	445	15	438	19	279	22	356	14	283	7	314	7	303	6	319	13	303	14	290	10	376	13	319	10	402	12	286	14	333	18	0	.	336	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	2	51	1	99	11	53	10	29	29	31	20	31	40	11	11	17	9	16	10	36	2	98	1	98	4	47	0	.	12	45	50	30	27	24	11	27	0	.	13	29	23	19	14	17	17	16	22	13	14	15	13	20	13	31	11	29	20	23	3	54	8	41	13	46	13	40	9	32	23	40	10	40	15	23	10	29	31	48	17	23	12	44	14	29	3	44	12	33	3	56	9	53	3	99	15	45	28	26	9	47	12	29	16	46	7	43	10	32	15	27	7	40	0	.	2	79	0	.	1	63	1	99	2	72	38	38	23	45	42	25	11	55	9	32	23	23	13	34	5	67	7	46	12	51	0	.	9	32	5	62	11	45	15	29	8	48	12	37	5	60	38	28	12	19	34	16	30	14	9	57	22	68	7	36	6	39	15	63	5	49	4	60	9	53	0	.	15	3
	fir	1	99	1	69	3	59	0	99	1	98	6	38	1	40	10	19	2	30	3	37	2	98	0	.	4	56	0	.	0	.	1	76	5	54	0	99	0	.	2	63	0	.	1	70	0	100	0	62	0	100	5	24	6	38	17	21	4	45	3	71	0	99	3	97	10	36	3	82	2	99	0	.	0	99	4	50	0	.	2	53	3	59	3	51	1	99	1	99	3	70	0	.	6	45	2	69	4	59	4	71	2	80	2	98	1	99	0	.	1	99	1	99	0	.	0	.	0	.	1	100	0	.	2	99	6	65	3	97	6	69	0	.	0	.	4	45	0	.	0	.	1	99	0	.	3	98	0	.	2	98	0	.	1	99	2	66	5	67	0	.	1	98	0	77	0	100	1	46	1	98	2	75	1	69	3	53	0	.	0	.	0	.	0	.	0	.	2	7
	pine	0	99	0	.	1	99	0	.	0	.	0	.	1	64	0	.	0	.	1	62	0	.	0	.	2	79	0	.	0	.	0	99	0	.	0	99	0	.	0	.	1	100	0	.	0	.	0	62	2	44	1	87	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	75	0	.	0	99	0	99	0	.	1	69	0	.	2	72	1	76	0	.	0	.	0	99	0	.	1	99	0	.	1	99	0	.	0	.	0	.	0	99	0	.	0	.	0	.	1	98	0	.	3	68	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	95	0	.	3	30	2	40	4	49	0	.	0	.	1	99	0	.	1	56	0	.	0	.	1	99	0	.	1	15
	larch	0	.	0	.	0	.	0	99	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	64	0	100	2	34	3	25	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	1	99	2	58	1	99	1	76	0	.	0	.	1	48	1	99	3	66	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	29	6	32	2	36	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	1	13
	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	26	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	40	2	80	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	22
	other conifers	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	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	1	99	0	.	2	99	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	.	17	96	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	2	69	0	.	0	.	0	.	0	.	0	.	0	35
	beech	5	30	3	55	3	84	5	58	4	71	8	47	6	43	4	31	5	25	11	25	4	60	3	68	11	46	0	.	8	98	3	52	11	71	2	58	0	.	7	35	1	52	4	41	0	.	0	76	0	.	7	26	18	37	5	37	4	52	0	.	5	58	7	57	1	98	4	45	2	75	1	98	9	34	5	56	2	77	7	50	10	42	4	43	9	36	5	43	12	40	6	48	12	29	7	42	1	72	5	56	1	99	2	72	3	61	0	.	1	74	0	.	8	66	2	59	4	45	9	32	7	60	5	42	16	42	0	.	2	74	3	58	1	99	3	72	8	50	0	.	4	50	5	67	0	.	4	50	2	76	12	55	4	55	14	55	0	.	0	.	15	81	0	.	0	.	5	38	4	57	4	71	3	52	3	52	4	45	3	98	4	61	4	58	0	.	4	7
	maple	3	46	0	.	0	.	0	.	4	59	1	99	2	36	0	70	0	100	1	70	5	67	2	74	3	69	0	.	5	71	0	99	1	69	0	.	5	95	3	44	0	100	1	70	0	.	0	100	0	.	0	100	8	41	2	69	1	100	4	68	0	.	0	.	0	.	1	99	2	75	0	.	2	70	2	74	3	59	1	60	0	.	3	48	0	.	0	99	1	99	1	99	3	56	0	.	1	99	3	99	6	56	2	98	0	.	2	99	0	.	0	.	3	73	0	.	1	99	0	.	0	.	0	.	4	68	4	72	0	.	0	.	3	69	3	56	2	98	0	.	1	99	0	.	2	98	1	99	1	99	1	98	0	.	0	.	0	.	7	93	0	.	0	.	0	.	2	40	2	98	0	.	2	69	2	59	1	99	0	.	0	.	0	.	0	.	1	10
	ash	0	.	1	77	0	.	0	.	0	.	1	99	1	66	2	69	0	50	1	100	3	98	1	98	0	.	0	.	1	98	0	.	1	74	3	63	0	.	1	99	0	100	0	.	0	.	0	70	0	.	1	53	0	.	0	.	1	99	0	.	1	99	1	97	0	.	0	.	2	99	0	.	0	.	5	50	1	99	0	.	1	99	5	71	0	.	0	.	2	69	0	.	2	69	0	.	2	99	2	75	2	69	0	.	2	99	2	74	1	99	0	.	1	99	1	75	4	51	2	71	0	.	0	.	2	98	0	.	0	.	3	69	1	99	0	.	2	98	0	.	0	.	0	.	0	.	0	.	2	98	3	69	0	.	0	.	0	.	0	.	0	.	0	.	0	100	1	61	7	54	2	72	0	.	3	60	0	.	0	.	0	.	1	98	0	.	1	13
	oak	1	79	1	76	0	.	0	99	0	.	0	.	0	.	0	.	0	71	0	.	0	.	5	98	2	69	0	.	2	98	0	.	1	73	1	99	2	95	0	.	0	.	0	99	0	.	1	62	0	.	1	57	2	99	0	.	4	91	1	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	1	70	0	.	1	99	0	.	1	99	0	.	0	.	0	.	2	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	1	77	1	99	0	.	0	.	0	.	0	.	0	.	0	.	2	98	0	.	0	.	0	.	0	.	0	.	3	99	0	.	0	.	0	.	1	97	0	.	12	98	0	100	0	.	1	70	1	98	0	.	0	.	0	.	0	99	0	.	0	.	1	98	0	.	0	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	.	2	48	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	45	5	68	3	56	12	36	14	28	3	50	6	42	8	37	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	78	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	14
	other broadleaves	4	71	6	59	1	99	0	.	0	.	0	.	2	51	1	70	2	48	0	100	2	98	5	75	2	69	0	.	2	99	1	99	2	57	3	77	0	.	1	70	2	70	1	99	4	50	5	25	3	59	4	44	7	51	0	.	5	63	0	.	0	.	0	.	5	98	2	69	2	99	3	82	1	99	0	.	2	99	2	57	1	99	2	58	0	.	0	.	0	.	2	98	1	99	1	99	0	.	6	68	0	.	0	.	0	.	16	38	4	44	3	73	4	49	5	40	8	29	7	28	2	69	6	50	2	98	21	73	6	65	3	99	8	55	2	69	2	98	4	96	2	99	4	98	0	.	0	.	0	.	3	69	1	99	0	.	0	.	0	.	0	.	4	35	5	31	8	42	0	.	0	.	1	99	1	99	0	.	4	71	0	.	3	68	0	.	3	8
	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	16	22	13	33	19	34	15	25	39	24	37	24	52	10	28	12	19	11	27	19	19	46	17	46	29	24	0	.	30	35	56	26	49	25	21	21	8	69	28	18	27	16	22	17	21	15	33	9	28	11	32	12	54	23	35	13	39	22	10	37	15	28	23	35	30	24	20	23	32	30	14	34	28	16	25	24	40	37	32	18	27	25	32	21	15	27	20	23	24	27	18	32	31	19	27	29	37	21	29	26	25	23	24	33	15	28	30	22	28	16	17	27	20	31	23	23	32	15	24	16	18	30	26	18	68	24	50	34	60	19	20	33	22	26	35	19	28	25	26	62	15	26	20	35	5	70	14	27	15	33	30	27	21	22	24	32	19	38	16	55	66	37	27	12	49	13	54	11	24	32	30	49	17	23	20	21	22	45	14	39	7	40	20	34	0	.	29	2
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	3	58	4	52	5	45	4	39	25	27	25	26	28	13	14	16	7	19	14	27	1	97	3	61	5	68	0	.	19	31	16	32	13	32	8	28	0	.	23	26	19	19	10	36	17	18	16	16	10	19	10	24	18	28	11	28	23	19	8	59	18	52	13	34	10	41	9	39	14	30	12	33	11	27	9	38	22	58	22	27	7	44	9	35	7	44	7	34	9	54	5	56	5	53	13	36	25	34	11	32	12	41	9	38	10	52	3	60	7	29	20	46	0	.	0	99	0	.	1	76	1	77	3	64	30	28	5	47	26	39	14	44	4	46	11	37	25	45	12	50	5	41	12	43	1	98	10	34	6	56	7	40	8	52	1	97	3	97	2	94	13	52	9	19	14	18	18	17	24	52	2	72	9	33	12	37	11	40	10	53	11	32	17	32	0	.	12	4
	fir	2	54	0	99	0	99	3	53	2	73	6	38	3	30	11	21	4	23	12	20	3	98	1	98	1	99	0	.	2	68	3	78	6	38	1	69	0	.	3	51	0	100	2	47	0	70	0	76	0	.	9	21	10	30	31	24	20	27	3	71	5	67	6	57	4	61	15	30	8	52	3	60	4	41	1	69	8	48	2	52	4	49	4	42	0	99	4	40	13	33	2	55	5	54	3	51	1	78	3	51	3	59	0	.	0	.	0	.	1	76	0	.	0	.	0	.	0	100	1	100	1	69	1	99	14	41	3	97	6	56	4	50	2	75	3	54	0	.	0	.	3	52	3	98	2	98	0	99	1	98	9	48	2	76	0	.	7	68	8	65	6	98	1	72	0	57	5	35	12	36	1	98	2	55	6	35	4	62	0	.	0	.	1	68	0	.	4	6
	pine	0	.	1	99	0	.	0	.	0	.	1	99	1	49	0	.	0	71	1	76	1	98	2	98	1	56	0	.	0	.	1	99	0	.	0	99	0	.	0	.	1	74	1	77	0	.	2	51	4	31	1	51	0	.	1	77	1	99	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	99	0	.	1	70	0	.	0	.	2	53	0	99	3	69	0	.	4	58	3	66	0	.	0	.	0	.	1	98	1	99	0	.	2	57	0	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	97	5	55	0	.	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	30	3	38	2	39	0	.	0	.	1	99	0	99	2	59	1	98	2	72	1	99	0	.	1	11
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	60	4	49	0	70	4	31	5	20	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	77	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	69	5	46	3	57	0	.	1	99	0	.	8	39	3	74	1	81	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	22	3	32	2	39	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	11
	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	.	1	67	3	24	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	59	4	34	1	85	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	19
	other conifers	0	.	0	.	0	.	0	.	2	98	0	.	0	100	0	.	0	71	2	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	78	0	.	0	.	0	.	0	100	0	.	0	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	1	99	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	2	98	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	29
	beech	14	35	3	46	2	99	8	43	7	48	5	71	6	26	5	26	12	17	27	18	12	53	11	45	45	25	0	.	16	55	4	47	11	33	9	34	0	.	11	29	2	53	7	31	0	.	1	48	0	.	15	18	11	35	4	45	6	49	7	71	12	40	15	42	12	39	0	99	10	45	0	.	15	36	2	48	19	40	11	27	19	50	11	52	17	26	22	33	29	28	25	46	26	20	15	35	4	61	10	39	1	99	3	68	10	37	0	.	1	76	0	.	18	43	8	38	7	44	8	34	15	48	4	48	12	35	0	.	9	62	17	81	1	69	5	42	14	48	4	96	6	42	12	72	4	45	4	51	16	48	26	27	4	72	10	52	1	98	13	67	4	80	0	.	0	.	5	33	8	52	12	51	5	45	9	53	9	42	4	62	14	44	10	49	0	.	8	5
	maple	3	45	2	70	0	.	0	.	10	98	1	99	2	52	2	44	1	57	4	27	0	.	2	98	4	56	0	.	0	.	0	.	7	35	0	.	0	.	5	35	1	77	1	100	0	100	0	61	0	.	3	34	1	99	0	.	1	61	4	98	1	99	7	67	2	98	1	99	7	52	2	75	1	99	3	56	1	99	4	45	11	60	3	76	4	81	4	51	3	52	6	58	5	44	6	60	4	59	1	68	3	69	2	98	1	99	1	99	0	.	0	.	1	99	1	99	0	.	0	.	0	.	0	.	3	68	3	97	0	.	1	99	1	99	1	99	9	63	0	.	2	69	0	.	0	.	0	.	0	.	2	74	3	59	0	.	0	.	0	.	0	.	0	.	0	100	3	47	6	63	1	98	0	.	2	75	4	48	0	.	4	68	0	.	0	.	2	9
	ash	2	60	0	99	0	.	0	.	0	.	2	99	1	58	1	45	1	43	1	77	4	98	4	98	1	99	0	.	0	.	1	99	1	100	0	99	0	.	5	74	0	100	0	.	2	55	1	58	0	.	3	39	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	8	58	0	.	0	.	4	50	3	69	2	53	2	64	1	99	1	99	0	.	1	99	2	98	1	99	1	99	0	.	0	.	3	69	1	98	2	99	1	99	1	99	0	.	1	99	1	99	2	56	0	.	0	.	1	75	3	68	0	.	2	98	0	.	0	.	1	99	0	.	0	.	0	.	4	98	0	.	0	.	1	99	0	.	0	.	3	98	3	97	0	.	0	.	0	100	0	100	1	65	1	98	0	.	1	99	2	83	1	75	0	.	0	.	1	98	0	.	1	12
	oak	0	99	1	99	0	99	0	.	0	.	0	.	0	100	0	.	1	60	0	.	1	98	0	.	1	99	0	.	1	68	0	.	0	.	0	.	10	55	0	.	0	.	0	.	0	.	1	74	0	.	0	100	0	.	1	71	0	.	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	1	99	0	.	0	.	0	.	0	99	0	99	0	.	1	98	2	69	0	.	0	.	0	.	0	99	2	75	0	.	0	.	0	.	0	.	0	.	0	.	2	57	1	70	1	99	0	.	0	.	1	97	1	98	0	.	1	99	0	.	0	.	0	.	0	.	1	97	0	.	0	.	1	99	0	.	0	.	1	97	1	97	0	.	0	.	0	77	1	70	0	100	0	.	0	.	0	.	0	.	0	.	0	.	1	98	1	98	0	.	0	16
	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	42	0	.	0	.	0	.	0	.	0	.	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	99	4	51	4	50	7	51	8	38	14	29	4	38	8	47	11	31	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	.	1	13
	other broadleaves	0	99	3	58	2	69	2	82	4	68	0	.	2	34	1	44	3	38	3	50	9	45	7	89	10	38	0	.	0	.	4	78	1	99	3	56	5	95	4	67	0	100	1	70	6	32	5	25	3	55	3	38	1	99	0	.	5	64	0	.	4	56	0	.	0	.	4	59	2	99	0	.	0	.	0	.	5	69	4	45	6	78	2	57	1	99	0	.	1	99	11	49	4	61	1	76	1	99	3	98	7	44	3	69	2	99	17	37	1	70	2	69	12	39	16	27	16	22	10	25	5	66	6	38	0	.	10	57	12	48	0	.	5	65	1	75	2	99	4	96	0	.	1	98	0	.	0	.	1	99	1	99	1	99	0	.	0	.	0	.	0	.	2	38	6	38	8	24	2	98	1	98	2	69	2	69	0	.	0	.	4	60	2	76	0	.	3	7
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	25	22	15	23	10	41	16	25	50	24	41	20	41	10	35	11	30	10	63	10	32	34	29	32	69	18	0	.	38	27	30	21	37	16	20	20	15	54	52	15	26	17	25	19	26	14	31	10	24	11	44	9	41	16	48	16	56	13	23	30	42	29	41	22	28	20	31	19	50	23	17	25	32	21	20	22	59	26	47	17	50	41	30	25	32	21	38	24	60	18	53	31	53	18	42	23	35	27	29	24	29	20	20	22	27	25	26	26	22	20	30	32	39	24	36	16	42	13	33	14	34	26	29	19	63	18	23	38	64	21	37	43	15	30	23	23	49	27	20	45	16	24	35	29	6	47	14	28	26	38	45	19	18	29	15	36	15	41	24	36	23	44	21	11	31	12	46	11	52	29	19	43	20	22	35	19	32	24	15	38	36	26	33	25	0	.	34	2
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	51	1	99	2	62	5	34	16	56	14	23	20	13	11	15	7	19	13	18	1	97	3	47	2	99	0	.	24	47	26	23	22	18	14	23	0	.	24	23	16	18	15	24	18	16	14	13	10	17	5	24	18	29	8	32	15	23	5	66	8	39	8	46	18	57	19	26	11	43	10	34	11	31	9	46	19	54	14	24	15	29	12	47	4	35	8	37	4	67	5	45	5	99	8	33	33	43	4	47	8	36	5	59	5	48	8	62	9	29	5	42	0	.	0	99	0	.	0	70	0	.	0	99	17	32	19	32	24	30	4	56	10	37	6	34	13	44	13	57	9	32	5	68	5	56	5	40	4	58	6	37	2	58	1	96	5	59	11	53	14	36	9	17	17	17	9	18	9	46	5	50	8	40	8	35	3	42	3	46	4	57	5	46	0	.	10	4
	fir	1	70	0	.	2	70	6	31	9	47	5	46	2	27	12	15	5	21	7	27	0	.	1	98	3	53	0	.	4	98	1	99	10	38	3	50	0	.	2	59	2	60	3	41	1	54	1	46	0	.	10	18	6	34	13	24	12	33	4	68	11	37	9	86	4	68	7	32	6	56	1	99	4	50	2	42	0	.	2	48	2	61	7	48	0	.	4	46	3	60	2	55	2	70	1	79	2	52	4	49	3	59	2	98	0	.	0	.	1	70	0	.	0	.	0	.	0	.	0	100	3	45	2	72	7	66	0	.	6	61	6	70	3	83	6	66	2	73	0	.	7	38	10	41	4	79	0	99	3	62	1	69	2	76	4	96	2	66	7	93	2	98	1	62	1	51	3	33	3	68	1	98	3	59	7	37	1	69	0	.	1	98	0	.	0	.	3	6
	pine	0	.	0	.	0	.	0	99	0	.	0	.	1	54	0	.	0	58	1	53	2	98	1	98	1	69	0	.	2	98	0	99	0	.	0	.	0	.	0	.	0	70	2	47	0	100	3	35	5	29	1	65	0	.	0	99	0	.	1	98	2	99	0	.	0	.	3	99	0	.	1	99	0	.	0	.	0	.	1	70	0	.	2	58	0	99	0	.	0	.	0	.	2	75	5	73	0	.	0	.	0	.	0	.	1	69	1	99	1	70	2	75	0	.	0	.	0	.	0	.	0	.	0	.	6	98	0	.	3	60	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	5	31	6	35	3	35	0	.	4	98	4	66	1	70	2	56	0	.	0	.	1	98	0	.	1	11
	larch	0	.	0	.	0	.	0	.	0	.	1	99	0	100	0	100	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	81	1	80	0	70	2	27	5	20	0	.	1	70	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	0	.	0	99	0	.	2	57	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	69	4	38	3	61	2	84	0	.	0	.	4	38	1	75	1	70	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	20	5	26	1	41	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	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	57	5	27	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	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	.	1	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	30	3	47	1	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	18
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	4	98	0	.	0	.	0	.	2	98	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	1	71	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	1	99	0	.	0	.	0	.	0	.	3	68	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	100	0	.	0	.	0	.	0	.	0	.	1	99	0	99	0	.	0	.	0	.	0	.	0	29
	beech	10	24	2	52	7	39	7	32	5	62	5	40	5	29	6	37	5	23	8	20	4	45	12	37	19	23	0	.	0	.	3	66	2	51	6	39	0	.	12	36	4	38	6	44	1	60	0	100	0	.	13	20	5	41	2	60	11	42	8	49	3	59	10	44	10	36	0	99	5	54	2	75	11	42	3	52	3	68	4	65	9	44	7	33	4	45	15	37	20	24	11	42	15	41	8	35	3	52	10	36	5	41	2	98	2	75	0	.	1	99	0	.	3	54	11	36	2	51	5	31	4	65	1	73	6	46	0	.	3	99	11	48	3	84	4	48	1	68	0	.	12	33	2	98	0	.	4	60	5	75	12	40	9	53	5	72	3	52	13	93	4	98	0	.	0	.	3	36	5	55	2	72	5	55	0	99	4	46	1	98	9	51	4	59	0	.	5	5
	maple	2	60	0	99	0	.	1	75	2	68	0	.	2	43	1	61	1	55	3	35	0	.	2	98	0	.	0	.	0	.	0	.	1	74	1	99	0	.	5	44	1	70	0	.	1	61	0	72	0	.	1	43	1	99	0	99	0	.	2	98	0	.	6	82	2	98	0	.	6	47	0	.	4	84	0	99	1	98	4	52	4	56	1	62	0	99	0	.	1	99	3	61	4	60	3	65	0	.	4	99	3	99	0	.	0	.	0	.	0	.	0	.	0	.	0	99	1	99	0	.	0	.	0	.	0	.	0	.	0	.	1	99	1	99	2	69	0	.	0	.	2	69	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	3	98	0	.	0	100	1	61	0	.	3	75	0	.	2	69	2	69	0	.	4	98	0	.	0	.	1	11
	ash	2	73	2	80	0	99	0	99	0	.	2	69	0	.	1	61	0	.	1	70	3	73	0	.	0	.	0	.	3	98	2	99	0	99	0	.	0	.	5	49	0	.	0	.	0	100	0	100	0	.	3	56	1	75	2	81	0	.	2	98	1	99	0	.	0	.	1	99	2	75	3	84	0	.	1	69	1	99	3	59	0	.	2	99	0	.	0	.	4	56	0	.	0	.	4	60	1	99	1	99	2	76	1	98	1	99	0	.	0	.	0	.	0	.	1	99	6	57	2	66	0	.	1	99	2	98	3	98	0	.	5	56	1	99	0	.	0	.	0	.	1	99	1	97	0	.	0	.	0	.	1	99	0	.	0	.	3	97	0	.	10	80	0	100	1	100	1	49	5	75	1	98	2	62	2	99	1	76	0	.	2	68	0	.	0	.	1	12
	oak	0	.	2	72	0	.	1	75	0	.	0	.	0	100	0	100	1	57	0	.	0	.	0	.	1	99	0	.	2	99	0	.	0	99	1	76	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	49	0	.	0	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	1	75	0	99	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	5	52	0	.	0	.	0	.	0	.	3	57	3	60	1	71	2	69	0	.	1	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	2	98	0	.	2	99	1	99	2	71	3	96	0	.	0	.	5	68	0	100	1	100	1	61	0	.	0	.	0	.	0	.	0	.	1	98	0	.	1	68	0	.	0	16
	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	46	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	.	5	55	7	58	13	52	22	29	45	23	4	43	9	48	49	28	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	3	97	0	.	0	.	0	100	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	13
	other broadleaves	0	99	1	99	2	75	0	99	2	99	0	.	1	43	1	50	1	44	3	37	5	68	0	.	6	80	0	.	0	.	2	70	1	100	3	74	5	95	3	60	1	75	1	61	5	44	4	28	3	60	3	30	2	70	0	.	2	99	0	.	1	99	3	97	5	98	0	.	1	99	7	82	2	69	0	.	4	72	1	70	0	.	0	99	0	.	2	69	0	.	13	43	1	99	4	48	2	70	6	47	1	99	6	98	2	76	10	52	1	99	0	.	4	45	12	31	13	26	5	36	11	57	9	40	0	.	8	71	3	98	8	60	4	72	5	72	0	.	15	96	0	.	0	.	0	.	0	.	1	99	3	69	0	.	0	.	0	.	0	.	3	98	3	44	1	57	3	39	0	.	1	98	3	69	3	73	0	.	0	.	4	68	0	.	0	.	3	8
	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	17	20	8	42	13	28	21	17	33	30	27	16	31	10	32	12	20	11	36	10	19	30	18	25	31	23	0	.	37	35	35	19	37	18	28	18	5	95	51	16	26	15	28	17	27	14	27	9	28	11	37	11	35	19	26	17	40	17	22	26	27	24	36	29	40	28	30	20	30	26	25	29	33	22	16	30	29	37	32	15	32	23	31	22	10	27	30	21	32	20	37	23	30	27	32	20	41	34	28	22	22	26	15	47	15	37	20	34	21	21	16	28	22	33	50	19	69	15	22	16	30	25	64	21	38	23	29	25	42	19	37	28	23	27	24	26	17	37	29	54	32	18	18	27	11	39	9	32	15	32	22	29	17	29	13	74	17	33	31	58	42	26	31	10	37	12	26	11	22	29	16	33	25	26	25	21	15	21	4	54	24	32	10	28	0	.	29	2
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	1	70	0	99	0	.	1	70	4	58	0	99	5	22	2	34	1	42	2	46	0	.	0	.	0	.	0	.	12	39	4	47	5	57	5	45	0	.	7	29	3	46	3	33	4	29	5	20	3	37	3	34	1	69	1	61	4	36	2	98	2	76	0	.	0	.	2	62	4	49	5	89	2	55	1	99	3	69	3	43	1	69	2	70	2	63	2	60	0	99	0	.	2	69	4	52	4	43	3	69	1	72	0	.	1	69	4	62	2	47	4	50	0	.	2	69	0	.	0	.	0	.	0	.	3	57	1	97	11	35	2	60	1	99	2	63	8	43	0	.	4	48	0	.	0	.	4	52	0	.	2	76	1	69	0	.	0	.	3	93	3	74	4	24	3	45	6	23	4	50	0	.	2	77	2	77	1	70	1	98	0	.	2	98	0	.	3	6
	fir	0	99	0	.	0	99	1	56	4	68	0	99	1	44	3	35	0	62	1	43	0	.	0	.	0	.	0	.	1	98	1	99	3	49	0	.	0	.	2	71	0	100	1	78	0	.	0	77	0	.	2	33	0	99	6	36	2	53	2	98	2	63	0	.	4	61	3	56	3	57	0	.	0	.	1	99	1	99	2	61	0	.	0	.	0	.	0	99	0	99	2	76	2	75	3	99	0	99	2	74	1	99	2	98	1	99	0	.	0	99	0	.	0	.	0	.	0	.	0	100	0	99	1	74	0	.	0	.	2	98	3	84	1	99	0	99	0	.	0	.	3	60	0	.	1	98	1	99	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	61	0	74	0	77	0	.	0	.	1	99	3	59	0	.	0	.	0	.	0	.	0	.	1	10
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	77	0	.	0	100	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	100	0	.	1	43	2	48	1	64	0	.	2	99	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	1	99	0	.	0	.	1	99	0	.	0	.	0	.	1	69	0	.	0	.	0	99	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	99	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	.	2	36	2	84	2	51	0	.	0	.	0	.	1	99	0	.	1	98	0	.	1	99	0	.	0	18
	larch	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	77	1	38	2	30	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	1	71	4	78	0	.	0	.	0	.	0	100	0	.	0	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	27	1	55	0	80	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	16
	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	100	2	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	.	0	.	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	45	1	59	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	25
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	2	100	0	.	0	.	0	.	3	69	0	.	0	.	1	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	1	100	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	.	4	68	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	1	70	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	37
	beech	2	60	0	.	2	75	1	77	1	99	2	75	1	52	1	45	2	37	3	36	2	68	1	98	4	62	0	.	5	78	1	99	2	48	0	.	0	.	8	37	3	49	1	60	0	100	0	100	0	.	4	32	2	66	1	77	3	54	2	98	1	99	3	97	0	.	2	69	5	49	1	99	4	46	2	81	4	71	4	59	5	48	2	47	1	75	1	69	7	59	1	68	11	48	1	59	3	73	4	52	6	75	0	.	2	58	0	.	1	70	0	.	4	52	4	76	1	99	3	46	1	74	2	82	0	.	0	.	0	.	3	99	0	.	1	99	2	68	0	.	4	67	1	97	0	.	1	76	1	98	6	58	1	69	2	66	1	97	0	.	0	.	0	.	0	.	0	100	2	98	4	58	0	.	0	99	2	60	0	.	2	98	2	98	0	.	2	8
	maple	1	70	0	.	0	.	0	.	0	.	1	99	1	56	0	100	0	100	0	70	1	97	0	.	0	.	0	.	0	.	0	.	1	78	0	.	0	.	2	39	1	77	0	.	0	100	0	100	0	.	1	57	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	2	99	1	99	0	.	0	.	1	99	1	76	0	.	1	78	0	.	0	.	0	.	2	98	1	99	0	.	1	99	4	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	69	0	.	1	73	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	1	99	0	.	2	98	0	.	0	.	0	.	0	16
	ash	1	99	0	.	0	.	0	.	0	.	1	99	0	82	0	.	1	73	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	50	1	76	0	100	0	100	0	.	0	.	1	62	1	99	0	.	1	73	0	.	0	.	0	.	0	.	0	.	2	75	0	.	0	.	0	99	0	.	1	100	0	.	1	99	0	.	0	.	0	.	0	.	0	99	0	99	0	.	1	99	1	99	1	98	0	.	0	.	0	.	0	.	0	.	1	99	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	1	99	2	98	4	96	0	.	0	.	0	.	0	.	2	98	0	.	0	.	0	.	0	.	0	.	1	98	0	.	1	76	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	17
	oak	0	.	0	99	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	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	99	0	.	0	.	0	.	0	.	1	99	0	.	1	99	0	.	0	.	0	.	0	.	0	.	4	73	0	.	0	.	0	.	0	.	0	.	0	.	1	99	6	59	1	100	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	76	0	.	0	.	1	74	0	.	1	98	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	27
	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	.	1	78	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	.	6	40	4	49	7	74	3	72	17	26	3	47	2	70	26	30	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	16
	other broadleaves	1	99	1	99	0	.	0	.	0	.	1	99	0	100	1	50	0	73	0	100	4	68	1	98	5	75	0	.	4	68	1	99	0	99	1	99	0	.	3	42	2	75	1	99	3	65	3	39	2	86	1	52	0	.	1	74	4	74	0	.	0	.	0	.	0	.	1	99	0	.	2	99	1	99	0	.	3	80	2	99	3	69	2	70	1	99	0	.	0	.	4	99	2	70	1	75	1	99	1	99	4	99	0	.	1	99	6	59	0	.	0	.	6	45	9	72	5	47	4	36	3	74	3	51	2	98	3	98	2	98	0	.	0	.	2	99	0	.	0	.	1	99	15	97	0	.	1	99	0	.	1	99	1	99	0	.	0	.	0	.	0	.	2	39	1	49	3	48	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	2	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	5	38	2	62	2	62	2	40	9	38	7	37	8	17	7	19	5	28	7	21	7	48	1	68	9	68	0	.	23	24	7	40	11	32	6	41	0	.	25	20	11	30	7	27	9	32	11	16	14	24	11	17	4	41	13	24	13	28	6	55	6	42	3	97	4	61	10	34	16	25	9	55	8	36	6	46	14	37	13	28	9	42	8	33	4	38	4	35	10	47	10	45	19	35	10	37	9	35	14	40	18	52	2	75	6	37	11	39	10	26	14	32	16	35	21	41	29	21	11	22	6	41	33	24	6	44	4	73	19	34	11	40	2	62	8	45	11	33	4	96	11	31	16	91	1	98	7	40	2	76	10	44	4	42	2	66	1	97	3	93	13	52	13	15	10	25	13	17	6	51	5	59	4	53	7	39	4	45	3	59	2	98	5	51	0	.	10	4
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	2	57	7	50	5	78	1	76	27	50	18	32	25	15	5	37	2	56	6	39	0	.	0	.	4	56	0	.	4	68	21	53	5	43	4	45	0	.	32	25	13	25	22	36	25	23	21	17	6	25	5	29	5	40	1	78	18	29	0	.	2	75	2	98	0	.	5	53	22	32	31	30	15	30	4	58	6	49	40	36	16	53	16	34	4	48	4	60	2	63	3	98	3	59	7	55	34	37	14	32	4	56	2	98	0	.	10	44	10	33	8	52	0	.	2	99	0	100	1	76	0	.	2	85	12	43	12	77	38	27	6	49	9	53	12	53	14	63	7	96	8	41	9	58	13	68	3	56	2	98	0	.	17	38	12	97	9	97	2	94	20	59	19	21	18	29	23	17	8	58	3	75	2	99	5	44	6	45	3	68	0	.	5	55	0	.	11	5
	fir	5	51	0	.	1	99	4	51	6	68	3	52	1	42	4	28	5	35	9	26	6	58	0	.	10	40	0	.	0	.	1	99	3	54	4	58	0	.	4	66	0	.	2	50	1	100	2	47	0	.	12	28	2	84	2	72	3	62	4	98	1	99	9	73	2	98	1	99	10	50	2	74	5	55	2	99	6	52	2	74	0	.	6	36	0	.	4	58	10	70	2	75	12	48	5	45	2	70	8	46	0	.	0	.	0	.	1	99	2	71	0	99	0	.	0	.	0	.	2	81	2	71	4	80	13	44	0	.	3	61	7	57	4	57	4	57	3	68	0	.	10	59	2	98	11	63	1	99	0	.	3	69	3	59	3	97	0	.	0	.	6	72	1	57	0	100	7	36	0	.	0	.	1	99	4	73	3	57	0	.	0	.	0	.	0	.	3	8
	pine	3	79	4	69	0	.	0	.	0	.	0	.	2	60	0	100	0	.	0	100	3	72	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	4	55	3	70	0	.	4	38	11	32	2	52	0	.	0	.	0	.	0	.	0	.	5	98	0	.	0	.	0	.	1	99	2	99	0	.	0	.	1	99	0	.	0	.	0	99	0	.	1	99	5	75	3	70	3	62	0	.	6	98	0	.	0	.	0	.	3	99	2	88	0	99	0	.	0	.	0	.	0	.	0	.	0	.	2	98	0	.	2	98	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	69	0	.	1	99	0	.	0	.	0	.	0	.	13	29	8	33	6	28	0	.	2	98	0	.	2	75	0	.	1	98	0	.	0	.	0	.	2	12
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	74	4	69	1	70	7	24	4	28	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	9	51	4	45	3	73	1	99	7	58	0	.	4	54	3	79	4	52	0	.	0	.	0	.	1	99	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	98	0	.	0	.	0	.	0	.	13	25	5	31	6	43	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	98	0	.	2	11
	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	100	3	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	.	0	.	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	52	1	81	1	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	26
	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	.	2	63	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	.	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	52
	beech	2	57	2	69	0	.	3	60	5	55	2	99	3	36	0	76	1	46	4	37	0	.	10	49	6	43	0	.	7	98	3	73	2	70	3	73	0	.	6	35	2	53	1	73	0	.	0	100	0	.	4	31	2	99	1	99	1	99	0	.	0	.	0	.	0	.	0	.	2	73	0	.	3	58	0	.	6	54	2	79	11	43	3	63	4	48	2	69	2	69	6	78	11	53	6	69	0	.	2	99	0	.	0	.	2	75	0	.	1	70	0	.	6	61	2	99	5	71	2	87	5	51	3	58	3	68	0	.	0	.	0	.	0	.	0	.	2	98	0	.	4	48	7	98	0	.	1	99	1	99	1	99	1	99	0	.	0	.	0	.	0	.	0	.	0	.	2	61	3	68	4	68	0	.	0	.	3	88	2	76	2	98	2	99	0	.	2	9
	maple	0	99	0	.	0	.	1	70	0	.	0	.	1	66	0	.	0	.	1	70	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	3	65	0	.	0	.	0	.	0	.	0	.	1	52	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	1	70	0	.	1	99	0	.	0	.	1	99	0	.	3	59	1	99	1	99	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	56	0	.	2	98	0	.	0	.	0	.	0	.	0	.	1	99	0	.	1	99	1	98	3	97	0	.	0	.	0	.	0	.	1	57	0	.	0	.	0	.	0	99	2	69	0	.	0	.	0	.	0	.	0	17
	ash	0	.	1	99	0	.	0	.	0	.	5	59	0	100	0	.	0	100	1	100	0	.	0	.	0	.	0	.	0	.	1	99	2	71	2	69	0	.	4	70	0	.	0	.	0	100	0	.	0	.	1	44	0	.	1	99	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	69	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	3	73	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	99	0	.	3	67	0	.	0	.	0	.	0	.	0	.	0	.	1	99	1	99	1	99	2	98	0	.	0	.	2	98	0	.	0	.	0	.	5	77	3	69	3	97	0	.	0	.	0	.	0	.	0	.	0	100	3	98	0	.	0	.	0	.	2	99	3	98	0	.	0	.	0	.	1	16
	oak	1	99	2	69	0	.	1	99	0	.	0	.	0	100	0	100	0	100	0	.	2	97	4	98	0	.	0	.	0	.	0	.	1	99	0	.	33	52	0	.	0	.	1	99	0	.	0	71	0	.	1	75	0	.	0	.	0	.	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	99	0	.	1	99	0	.	0	.	2	70	0	.	6	99	2	98	1	99	0	.	0	.	0	.	0	.	2	98	0	.	0	.	0	.	0	.	0	.	1	99	9	56	1	100	2	70	0	.	0	.	0	.	0	.	1	99	1	99	0	.	0	.	0	.	1	99	2	97	6	54	0	.	4	99	0	.	0	.	8	98	0	.	0	.	5	58	0	.	1	70	0	.	0	.	0	.	0	.	1	99	0	.	2	98	0	.	2	98	0	.	1	17
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	50	0	.	0	.	0	.	0	.	0	.	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	6	99	5	53	13	66	25	40	44	24	2	55	10	47	28	30	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	15
	other broadleaves	4	62	4	60	0	.	0	.	8	56	0	.	5	30	2	64	0	70	2	47	5	67	2	98	2	69	0	.	9	79	5	50	2	99	4	44	5	95	2	73	1	70	3	70	10	38	6	28	1	61	4	36	7	55	2	70	6	45	5	98	0	.	0	.	0	.	0	.	0	.	11	65	3	69	1	99	6	57	4	53	0	.	1	99	0	.	2	69	2	69	0	.	5	48	0	.	5	81	3	98	10	69	2	98	1	99	6	48	6	47	1	99	16	58	10	32	18	32	13	27	8	51	10	38	0	.	3	97	3	68	9	65	1	99	9	53	9	51	37	96	2	60	0	.	4	68	1	99	3	69	3	69	4	99	0	.	6	67	0	.	12	98	6	39	5	38	2	39	0	.	0	.	0	.	3	56	4	59	4	82	6	98	25	82	0	.	4	8
	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	17	28	20	28	6	65	10	32	47	32	29	24	37	12	13	22	9	31	23	18	16	36	16	39	23	25	0	.	20	62	32	37	15	31	16	30	39	44	51	19	21	19	36	26	37	18	43	11	27	16	31	14	15	31	7	47	28	21	12	57	3	59	16	49	2	98	6	47	35	25	46	24	28	24	11	41	25	25	53	28	29	34	27	22	9	27	12	34	26	37	19	39	41	27	23	29	43	38	33	28	16	46	5	55	3	59	31	24	30	24	18	35	38	34	47	23	79	16	25	19	29	25	50	20	31	25	14	64	46	24	28	31	21	29	26	32	32	39	44	81	27	31	23	44	33	47	6	45	15	51	12	48	35	28	27	50	17	58	2	94	43	46	53	14	39	17	48	13	14	39	8	52	4	71	15	29	20	32	15	38	8	77	35	59	0	.	28	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	57	25	121	30	185	27	112	19	325	18	308	15	336	6	158	8	164	12	134	13	37	41	53	61	55	33	50	.	299	24	344	16	285	12	224	17	8	70	259	18	263	11	256	11	264	9	257	7	164	9	124	15	198	18	176	16	318	11	84	55	169	21	144	24	96	24	158	16	257	24	353	15	232	16	243	17	220	25	227	14	148	27	204	15	141	20	102	20	119	34	144	37	53	42	171	20	386	14	149	16	201	21	192	25	162	34	119	23	140	16	176	19	0	.	10	65	1	70	22	41	10	48	37	30	171	22	286	21	353	19	107	23	130	19	236	18	195	22	179	32	145	19	156	33	86	30	260	10	118	25	134	29	175	21	77	52	141	40	61	28	219	26	134	11	224	12	209	10	211	24	162	27	150	21	167	28	174	21	180	26	120	25	263	25	0	.	184	2
	fir	39	32	10	38	32	49	70	20	84	26	84	22	24	17	150	8	87	12	117	11	17	52	24	38	58	26	0	.	37	50	20	32	86	21	70	28	0	.	32	34	10	37	22	25	7	46	11	28	0	100	110	11	106	18	156	12	98	18	91	34	105	20	123	22	95	25	155	22	53	27	39	40	50	31	62	18	37	35	33	25	51	27	87	19	9	40	58	33	69	27	29	41	81	22	50	28	71	21	65	30	71	26	33	35	25	67	1	99	15	36	12	99	0	.	0	.	0	100	13	42	27	35	22	61	129	22	28	97	51	46	68	30	25	42	116	25	31	32	10	96	74	30	80	36	118	24	30	33	51	26	79	19	46	31	50	34	125	45	139	33	58	63	10	43	9	45	35	26	87	28	15	42	33	38	80	18	39	32	8	61	6	98	13	57	0	.	50	3
	pine	18	38	23	36	19	61	7	38	2	98	1	99	11	31	1	47	6	27	15	39	24	54	32	45	30	36	0	.	8	55	10	63	0	.	15	50	75	81	0	.	29	38	33	31	1	100	26	25	75	18	15	33	0	.	8	64	10	72	12	69	8	89	17	98	0	.	5	99	0	.	36	86	7	75	5	54	0	.	22	53	3	83	3	53	31	39	5	53	18	35	19	62	36	41	23	50	1	76	8	98	12	41	8	54	33	37	3	83	13	71	11	88	0	.	0	.	8	99	0	.	0	.	3	75	33	72	5	97	41	49	2	99	0	.	0	.	0	.	10	80	0	99	18	92	4	81	0	.	11	61	0	.	9	51	1	96	0	.	28	95	0	.	84	20	59	23	37	24	0	.	9	83	22	33	8	45	23	29	23	39	37	32	10	43	0	.	19	6
	larch	4	55	19	64	6	81	5	67	1	98	3	99	2	38	0	74	4	55	3	100	0	.	0	.	2	75	0	.	17	98	5	79	0	.	3	89	0	.	0	99	19	33	29	24	11	47	43	15	80	9	0	70	3	77	1	99	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	1	99	1	70	8	92	23	36	1	99	0	.	10	45	0	99	3	99	1	99	0	.	0	.	0	.	2	70	4	79	11	71	1	99	38	28	49	24	41	33	27	38	11	56	1	59	74	19	53	38	28	42	0	.	0	.	1	98	14	39	2	79	3	99	2	98	14	96	0	.	2	98	0	.	0	.	4	99	0	.	13	54	0	.	0	.	0	.	0	.	124	10	96	14	45	18	1	98	1	98	3	69	2	77	0	.	7	59	4	80	10	49	0	.	20	5
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	57	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	100	0	.	4	37	53	16	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	99	0	.	3	99	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	.	6	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	24	20	26	8	57	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	12
	other conifers	1	70	1	69	3	99	7	85	4	98	1	99	0	100	0	.	5	32	4	100	17	98	0	.	0	.	440	.	4	70	0	.	0	.	0	.	0	.	1	99	5	50	1	99	0	.	0	.	11	43	0	100	5	61	4	80	0	.	0	.	0	.	2	98	0	.	0	.	5	99	0	.	1	99	5	79	1	99	2	100	1	99	3	99	2	84	2	99	7	84	8	57	0	.	0	.	0	.	1	99	3	99	0	.	8	76	0	.	0	.	0	.	0	.	0	.	0	.	0	99	0	.	0	.	2	98	0	.	16	54	0	.	1	99	0	.	0	.	29	96	18	63	4	98	4	68	0	.	0	.	0	.	2	78	0	.	39	97	0	.	0	.	3	100	0	100	1	70	0	.	2	98	8	57	15	66	1	76	0	.	0	.	0	.	0	.	3	15
	beech	157	12	102	17	104	19	160	18	73	29	97	23	65	19	83	12	125	9	186	11	84	26	191	16	244	14	0	.	129	28	105	21	97	27	129	20	0	.	109	23	33	29	49	24	3	66	16	31	0	.	131	10	125	21	70	20	94	18	63	25	76	25	112	24	74	22	69	21	134	30	23	50	137	24	60	29	151	29	84	22	191	19	134	18	230	13	144	16	207	15	122	21	235	14	117	21	28	36	91	20	54	20	59	27	112	16	0	.	19	38	0	.	162	25	143	24	86	25	123	21	179	24	130	25	106	29	1	97	30	64	85	32	40	42	62	30	92	25	38	64	131	21	88	36	67	30	59	24	81	21	169	20	78	24	185	21	91	26	105	28	107	27	0	.	5	85	54	22	53	27	111	32	59	26	102	20	109	18	97	26	86	21	63	21	0	.	85	2
	maple	37	19	18	30	19	32	23	41	54	56	27	35	23	16	12	19	10	22	36	17	19	42	53	25	28	27	0	.	21	56	11	51	27	23	13	37	11	63	45	25	6	43	3	46	11	42	4	38	0	100	29	15	25	32	8	38	15	26	18	37	16	31	41	53	33	71	7	36	41	22	13	49	26	44	22	25	22	35	32	32	32	33	47	23	17	44	17	54	34	26	30	29	51	23	33	33	25	32	23	51	57	46	20	34	15	48	12	88	3	99	1	99	5	45	7	56	11	42	7	67	5	51	0	.	40	38	13	65	3	98	41	41	69	33	55	24	52	60	0	.	24	30	26	86	13	59	6	45	19	27	27	19	32	47	7	83	11	56	7	93	13	70	2	71	4	43	17	25	24	41	23	47	27	33	44	30	19	27	45	50	28	50	13	60	0	.	19	4
	ash	33	22	27	35	22	31	11	42	14	56	51	33	7	32	13	23	13	22	12	41	65	43	30	68	23	54	0	.	9	57	20	54	35	32	30	34	22	72	32	50	5	46	2	65	16	55	6	34	5	87	38	19	31	52	21	36	15	45	16	81	13	77	4	73	0	.	2	99	43	48	15	65	9	48	65	27	53	34	13	42	28	38	30	32	15	44	3	55	13	49	28	47	37	42	40	38	20	85	13	52	37	32	37	29	29	30	13	74	5	88	4	78	11	46	19	38	44	31	11	43	5	50	14	53	18	71	22	55	6	98	21	36	13	48	14	48	57	32	26	52	8	58	23	35	0	.	2	99	9	55	43	56	36	41	16	39	44	38	0	.	76	48	4	36	8	47	12	29	49	37	29	25	29	46	33	30	32	34	21	50	33	38	12	45	0	.	18	5
	oak	21	33	28	45	6	58	25	36	0	.	0	99	1	47	1	73	13	21	1	100	20	29	36	91	20	55	0	.	8	45	1	99	7	54	11	45	531	27	0	.	0	100	6	88	0	100	5	57	1	100	8	31	7	43	5	78	5	80	62	59	0	.	5	68	0	.	0	.	2	98	0	.	0	99	16	89	8	64	1	99	4	59	1	99	26	24	3	62	15	61	10	68	28	58	2	60	0	.	3	99	12	45	35	43	15	32	0	.	0	.	0	.	12	43	28	32	53	27	20	68	34	51	12	47	3	73	6	97	2	98	30	61	22	67	0	.	14	76	0	.	15	68	42	31	110	46	0	.	94	44	4	85	12	39	134	44	18	74	0	.	48	48	3	44	10	45	9	30	1	98	1	68	3	67	3	85	6	44	12	37	14	40	11	56	0	.	11	8
	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	.	20	41	1	66	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	99	41	34	55	44	122	34	144	22	250	17	27	29	83	32	230	22	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	86	0	.	6	97	0	.	0	.	1	100	0	.	6	57	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	9
	other broadleaves	43	32	71	24	33	36	15	40	26	46	18	48	31	18	16	28	20	27	22	21	77	30	32	48	41	30	0	.	49	50	27	29	17	30	33	36	67	46	34	30	22	30	17	46	50	23	57	17	31	37	40	18	26	28	9	41	42	37	20	46	17	47	21	86	24	73	15	40	26	41	43	49	20	34	12	81	80	38	46	30	46	42	28	28	9	37	20	46	20	33	69	35	35	29	24	30	26	32	57	59	64	33	62	37	31	44	121	32	51	25	44	29	129	24	161	19	221	15	125	20	69	26	118	18	32	37	113	56	33	39	63	31	72	32	47	28	22	38	118	62	35	40	56	53	14	47	9	41	32	55	17	34	28	61	57	55	32	41	13	93	22	81	41	23	44	28	57	17	11	48	27	41	25	31	24	34	7	40	62	31	33	58	42	58	0	.	43	4
	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	412	6	421	11	430	12	433	7	582	11	590	10	500	5	433	4	446	5	531	5	361	13	451	14	502	10	490	.	581	13	542	10	555	8	527	8	715	18	510	11	393	8	418	7	363	7	449	5	420	5	496	5	526	9	460	8	598	6	364	14	404	10	469	10	323	16	410	8	560	11	521	13	490	10	490	9	583	11	482	9	504	12	537	9	489	7	355	9	505	10	459	11	557	8	459	11	557	10	411	10	515	9	458	12	431	12	320	14	338	9	345	11	469	11	524	9	676	7	423	8	464	12	595	8	532	11	473	15	541	12	430	12	375	14	533	12	465	12	425	19	450	9	495	11	417	14	366	9	419	11	472	10	442	10	526	13	507	18	354	17	543	12	428	5	480	6	491	6	437	12	381	13	359	9	479	11	411	9	454	10	363	12	436	15	0	.	466	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. 2295459. Birmensdorf, Swiss Federal Research Institute WSL

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