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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NFI4
total number of stems with two most important forms of damages
altitude (in 200 m classes) · cause of damage to trees (10 classes)
regional demarcation: forest district (2024)
unit: n/ha
evaluation area: accessible forest without shrub forest NFI4/NFI5
grid: 1.4 km grid, subgrids 1-5
state 2009/17
		forest district (2024)
		AG01		AG02		AG03		AG04		AI01		AR01		BE01		BE02		BE03		BE04		BSBL01		BSBL02		BSBL03		BSBL04		FR01		FR02		FR03		FR04		GE01		GL01		GR01		GR02		GR03		GR04		GR05		JU01		LU01		LU02		LU03		NE01		NE02		NE03		NE04		NE06		NW01		OW01		OW02		SG01		SG02		SG03		SG04		SG05		SH01		SO01		SO02		SO03		SO04		SZ01		SZ02		SZ03		TG01		TG02		TG03		TI01		TI02		TI03		TI04		TI05		TI06		TI07		TI08		TI09		UR01		UR02		UR03		VD02		VD03		VD04		VD05		VD06		VD07		VD08		VD09		VD11		VD12		VD14		VD15		VD16		VD18		VD20		VD22		VS01		VS02		VS03		ZG01		ZH01		ZH02		ZH03		ZH04		ZH05		ZH06		ZH07		lakes		Switzerland
altitude (in 200 m classes)	cause of damage to trees (10 classes)	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	.
	no visible damage	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	fire	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	rockfall	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	various	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.
	wood harvest	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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 human activity	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	weather	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	lying living trees	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	dead trees	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
>1800 m	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	.
	no visible damage	0	.	0	.	0	.	0	.	0	.	0	.	268	34	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1176	.	0	.	0	.	0	.	196	16	349	29	197	21	260	18	313	9	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	700	.	0	.	0	.	173	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	70	.	240	22	328	21	468	62	0	.	0	.	211	30	210	47	32	.	0	.	0	.	0	.	0	.	60	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	211	19	322	17	233	21	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	273	6
	fire	0	.	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	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	93	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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
	rockfall	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	89	11	62	6	70	3	43	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	42	46	0	.	0	.	0	.	0	.	0	.	0	.	72	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	39	1	98	6	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	22
	various	0	.	0	.	0	.	0	.	0	.	0	.	17	67	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	46	14	62	2	94	12	56	8	39	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	91	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	69	8	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	22
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	77	24	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	126	.	0	.	0	.	0	.	70	18	34	55	33	41	58	26	53	13	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	.	0	.	0	.	25	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	86	36	18	41	0	.	0	.	0	.	20	39	10	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	34	22	64	25	66	23	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	8
	wood harvest	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	63	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	2	95	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	49
	other human activity	0	.	0	.	0	.	0	.	0	.	0	.	7	64	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	98	1	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	.	17	78	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	37
	weather	0	.	0	.	0	.	0	.	0	.	0	.	8	94	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	54	10	90	2	94	23	43	10	26	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	.	42	33	18	65	0	.	0	.	0	.	13	60	25	71	72	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	39	2	72	24	46	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	15
	lying living trees	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	27	97	4	90	5	95	18	85	6	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	.	0	.	0	.	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	50	3	98	18	73	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	34
	dead trees	0	.	0	.	0	.	0	.	0	.	0	.	131	44	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	41	43	10	89	55	81	46	31	44	18	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	32	44	45	48	0	.	0	.	0	.	12	62	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	53	23	70	33	65	24	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	49	11
	total	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
1601-1800 m	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	.
	no visible damage	0	.	0	.	0	.	0	.	0	.	0	.	310	12	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1364	.	0	.	0	.	0	.	310	49	282	22	259	43	358	13	300	16	254	10	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	813	53	719	68	501	44	0	.	0	.	307	49	0	.	700	.	0	.	0	.	0	.	0	.	0	.	170	.	0	.	0	.	0	.	0	.	0	.	151	30	341	22	225	53	71	47	0	.	0	.	302	21	230	23	304	41	70	.	288	4	25	71	266	37	109	24	69	10	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	290	16	328	34	306	27	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	298	6
	fire	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100
	rockfall	0	.	0	.	0	.	0	.	0	.	0	.	4	61	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	97	0	.	0	.	8	65	4	68	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	31	50	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	92	25	88	0	.	0	.	0	.	0	.	0	.	0	.	58	81	0	.	31	81	0	.	0	.	24	52	9	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	66	3	97	9	60	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	24
	various	0	.	0	.	0	.	0	.	0	.	0	.	5	52	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	43	8	65	6	57	1	98	16	50	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	.	10	87	0	.	0	.	0	.	5	95	15	92	0	.	0	.	0	.	0	.	5	87	21	62	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	88	12	65	9	47	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	21
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	55	19	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	303	.	0	.	0	.	0	.	52	66	37	28	30	41	41	34	60	27	63	21	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	40	73	25	72	77	47	0	.	0	.	30	89	0	.	0	.	0	.	0	.	0	.	0	.	0	.	160	.	0	.	0	.	0	.	0	.	0	.	19	38	64	58	43	44	5	84	0	.	0	.	64	45	35	55	0	.	90	.	148	46	35	71	70	23	23	64	9	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	41	27	36	23	34	29	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	48	8
	wood harvest	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	71	12	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	.	0	.	0	.	0	.	0	.	0	.	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	79	1	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	48
	other human activity	0	.	0	.	0	.	0	.	0	.	0	.	9	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	86	0	.	3	93	4	72	8	88	12	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	.	3	94	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	87	0	.	9	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	55	3	97	1	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	32
	weather	0	.	0	.	0	.	0	.	0	.	0	.	23	40	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	87	3	97	3	93	0	.	4	60	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	72	13	85	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	41	46	5	87	12	88	0	.	0	.	19	53	7	93	7	81	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	26	17	49	26	48	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	17
	lying living trees	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	58	4	68	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	86	0	.	0	.	0	.	0	.	50	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	94	7	70	0	.	0	.	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	59	0	.	3	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	28
	dead trees	0	.	0	.	0	.	0	.	0	.	0	.	94	30	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	363	.	0	.	0	.	0	.	20	62	35	41	13	93	46	35	41	30	39	32	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	47	57	102	70	141	42	0	.	0	.	33	65	0	.	280	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	35	33	40	39	0	.	5	88	0	.	0	.	34	49	3	92	17	81	20	.	60	68	0	.	10	50	36	71	38	37	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	48	27	77	41	148	42	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	56	12
	total	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
1401-1600 m	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	.
	no visible damage	0	.	0	.	0	.	0	.	0	.	0	.	275	13	164	22	0	.	140	48	0	.	0	.	0	.	0	.	0	.	680	13	82	60	310	.	0	.	331	25	242	16	319	18	402	19	306	13	476	14	0	.	550	.	0	.	491	18	0	.	0	.	0	.	0	.	0	.	222	20	399	17	202	24	0	.	167	71	120	33	399	5	243	64	0	.	0	.	0	.	0	.	0	.	167	37	321	15	220	0	0	.	0	.	0	.	564	35	531	31	285	26	210	50	0	.	100	.	343	21	720	46	550	23	279	42	520	.	307	49	246	33	235	26	444	44	0	.	0	.	169	42	0	.	0	.	230	30	50	.	206	21	268	34	0	.	0	.	0	.	0	.	255	24	283	20	341	18	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	314	5
	fire	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	100
	rockfall	0	.	0	.	0	.	0	.	0	.	0	.	26	36	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	92	0	.	0	.	0	.	6	97	0	.	19	72	19	45	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	93	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	91	0	.	11	92	4	89	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	89	9	89	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	67	5	67	28	78	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	23
	various	0	.	0	.	0	.	0	.	0	.	0	.	8	40	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	71	30	61	0	.	0	.	7	93	12	47	7	92	11	74	6	36	1	97	0	.	50	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	92	0	.	39	64	0	.	0	.	0	.	0	.	0	.	7	90	0	.	0	.	0	.	0	.	0	.	17	91	0	.	15	48	0	.	0	.	0	.	15	62	0	.	20	54	0	.	0	.	0	.	5	89	7	66	0	.	0	.	0	.	0	.	0	.	0	.	30	58	40	.	11	66	18	68	0	.	0	.	0	.	0	.	4	97	10	47	1	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	15
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	52	17	21	32	0	.	19	75	0	.	0	.	0	.	0	.	0	.	75	71	40	49	50	.	0	.	22	44	36	25	32	27	62	38	55	17	95	27	0	.	250	.	0	.	39	51	0	.	0	.	0	.	0	.	0	.	90	7	59	41	25	35	0	.	6	89	23	44	55	76	0	.	0	.	0	.	0	.	0	.	0	.	10	64	82	28	22	64	0	.	0	.	0	.	69	51	33	54	25	42	44	58	0	.	0	.	21	44	51	45	82	76	94	34	340	.	36	54	36	89	55	36	44	53	0	.	0	.	17	82	0	.	0	.	10	52	20	.	33	75	40	43	0	.	0	.	0	.	0	.	33	28	82	25	44	29	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	7
	wood harvest	0	.	0	.	0	.	0	.	0	.	0	.	6	54	22	52	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	92	0	.	0	.	0	.	1	97	6	93	8	88	3	45	3	97	0	.	0	.	0	.	32	92	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	89	0	.	0	.	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	86	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	28
	other human activity	0	.	0	.	0	.	0	.	0	.	0	.	6	51	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	95	0	.	0	.	0	.	5	54	0	.	4	68	7	55	0	.	0	.	0	.	0	.	3	94	0	.	0	.	0	.	0	.	0	.	0	.	5	95	0	.	0	.	19	89	0	.	23	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	44	80	270	.	0	.	0	.	0	.	53	94	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	67	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	29
	weather	0	.	0	.	0	.	0	.	0	.	0	.	18	31	56	45	0	.	37	67	0	.	0	.	0	.	0	.	0	.	25	71	50	37	0	.	0	.	0	.	10	52	0	.	6	54	16	46	3	97	0	.	0	.	0	.	11	86	0	.	0	.	0	.	0	.	0	.	157	44	0	.	59	42	0	.	0	.	7	92	0	.	0	.	0	.	0	.	0	.	0	.	0	.	41	61	29	43	0	.	0	.	0	.	0	.	26	40	0	.	35	72	9	91	0	.	50	.	45	30	0	.	0	.	0	.	0	.	13	89	33	55	11	62	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	56	0	.	0	.	0	.	0	.	19	49	8	71	28	36	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	12
	lying living trees	0	.	0	.	0	.	0	.	0	.	0	.	0	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	92	0	.	0	.	2	98	1	99	0	.	0	.	0	.	0	.	11	86	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	93	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	64	20	83	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	66	0	.	0	.	0	.	0	.	0	.	0	.	11	62	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	63	0	.	27	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	32
	dead trees	0	.	0	.	0	.	0	.	0	.	0	.	88	21	80	54	0	.	0	.	0	.	0	.	0	.	0	.	0	.	235	56	166	46	50	.	0	.	59	57	35	42	71	57	36	33	59	26	31	32	0	.	0	.	0	.	228	57	0	.	0	.	0	.	0	.	0	.	46	77	33	56	55	28	0	.	36	62	40	28	184	76	0	.	0	.	0	.	0	.	0	.	0	.	33	49	245	77	61	64	0	.	0	.	0	.	41	73	95	26	19	44	44	47	0	.	0	.	34	46	0	.	14	62	46	80	20	.	48	30	21	64	45	42	10	91	0	.	0	.	17	82	0	.	0	.	5	86	0	.	23	75	74	62	0	.	0	.	0	.	0	.	64	46	34	26	70	23	70	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	59	10
	total	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
1201-1400 m	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	.
	no visible damage	0	.	0	.	0	.	0	.	286	27	262	8	264	17	204	21	0	.	362	24	0	.	0	.	0	.	0	.	290	.	423	28	281	28	489	27	0	.	404	22	337	20	394	23	367	22	330	16	234	22	0	.	195	53	0	.	388	21	130	.	512	35	270	.	0	.	206	16	318	24	615	32	300	26	0	.	294	84	417	28	271	21	246	24	0	.	475	5	0	.	0	.	0	.	359	22	320	27	287	14	0	.	0	.	0	.	222	43	157	32	197	22	323	48	53	85	0	.	545	23	222	43	252	17	97	72	485	29	451	27	532	14	263	11	548	32	361	2	0	.	260	31	0	.	140	.	336	12	306	18	337	18	336	28	500	.	0	.	0	.	0	.	379	25	474	17	416	11	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	332	4
	fire	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	93	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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
	rockfall	0	.	0	.	0	.	0	.	3	93	0	.	37	43	6	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	71	65	0	.	0	.	36	94	6	61	0	.	13	63	46	40	28	96	0	.	0	.	0	.	23	95	0	.	0	.	0	.	0	.	0	.	9	76	0	.	0	.	0	.	0	.	80	67	0	.	19	95	0	.	0	.	0	.	0	.	0	.	48	92	2	94	0	.	0	.	0	.	0	.	49	83	0	.	0	.	19	92	42	85	0	.	49	63	78	52	0	.	66	68	0	.	8	91	0	.	67	85	79	45	0	.	0	.	3	91	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	97	42	55	20	59	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	16
	various	0	.	0	.	0	.	0	.	13	63	0	.	3	52	0	.	0	.	14	76	0	.	0	.	0	.	0	.	0	.	0	.	23	83	0	.	0	.	2	94	0	.	9	68	12	94	3	97	8	65	0	.	0	.	0	.	5	65	0	.	57	71	20	.	0	.	5	86	0	.	0	.	6	61	0	.	0	.	31	75	18	58	18	33	0	.	25	70	0	.	0	.	0	.	6	94	6	94	13	92	0	.	0	.	0	.	0	.	0	.	0	.	8	92	0	.	0	.	2	95	13	86	20	90	0	.	0	.	0	.	17	81	0	.	11	88	23	76	0	.	3	93	0	.	0	.	12	49	9	90	0	.	0	.	0	.	0	.	0	.	0	.	30	71	7	70	30	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	19
	indeterminable	0	.	0	.	0	.	0	.	44	44	65	65	45	18	52	49	0	.	46	40	0	.	0	.	0	.	0	.	20	.	51	37	24	46	41	88	0	.	62	23	34	27	125	26	35	43	69	39	60	27	0	.	20	71	0	.	55	39	0	.	50	0	20	.	0	.	26	47	28	76	28	45	33	34	0	.	8	84	55	31	40	43	43	42	0	.	69	51	0	.	0	.	0	.	7	62	32	32	41	51	0	.	0	.	0	.	105	55	25	50	99	32	28	57	92	85	0	.	66	20	61	37	22	41	101	80	266	67	57	63	0	.	14	80	152	37	109	36	0	.	14	46	0	.	0	.	16	43	15	49	60	35	11	66	0	.	0	.	0	.	0	.	27	36	95	23	67	26	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	49	8
	wood harvest	0	.	0	.	0	.	0	.	0	.	0	.	9	61	9	54	0	.	0	.	0	.	0	.	0	.	0	.	70	.	25	68	6	93	0	.	0	.	6	95	3	93	2	95	16	94	4	97	8	96	0	.	0	.	0	.	4	97	140	.	0	.	0	.	0	.	11	89	0	.	0	.	4	91	0	.	0	.	0	.	0	.	2	95	0	.	0	.	0	.	0	.	0	.	0	.	14	48	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	91	0	.	0	.	0	.	0	.	0	.	5	94	0	.	0	.	7	57	6	93	0	.	0	.	0	.	0	.	0	.	0	.	3	97	0	.	7	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	21
	other human activity	0	.	0	.	0	.	0	.	0	.	28	76	6	78	2	96	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	33	72	0	.	0	.	0	.	5	94	9	93	2	95	8	54	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	86	0	.	4	90	7	94	0	.	0	.	6	94	13	90	18	67	0	.	0	.	0	.	0	.	0	.	0	.	6	94	18	89	0	.	0	.	0	.	0	.	15	87	28	43	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	81	0	.	0	.	19	76	0	.	0	.	0	.	0	.	3	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	24
	weather	0	.	0	.	0	.	0	.	0	.	0	.	6	44	27	38	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	68	12	88	0	.	22	84	3	93	9	93	11	63	3	67	2	96	0	.	75	71	0	.	12	60	0	.	0	.	0	.	0	.	0	.	23	76	11	90	0	.	0	.	0	.	18	79	24	58	2	97	0	.	0	.	0	.	0	.	0	.	6	94	28	70	18	92	0	.	0	.	0	.	55	69	12	87	0	.	41	76	13	85	180	.	0	.	0	.	12	37	0	.	68	81	7	92	0	.	0	.	0	.	0	.	0	.	9	91	0	.	0	.	3	98	0	.	6	86	23	75	0	.	0	.	0	.	0	.	15	50	14	44	9	52	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	15
	lying living trees	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	95	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	95	0	.	6	93	0	.	1	97	0	.	0	.	35	71	0	.	0	.	0	.	10	71	0	.	0	.	0	.	0	.	11	90	0	.	0	.	0	.	6	94	8	93	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	32	83	0	.	0	.	38	73	0	.	0	.	0	.	0	.	0	.	0	.	17	81	16	92	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	75	0	.	0	.	0	.	0	.	0	.	12	52	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	28
	dead trees	0	.	0	.	0	.	0	.	27	49	65	65	48	20	40	44	0	.	25	83	0	.	0	.	0	.	0	.	200	.	87	64	109	34	126	55	0	.	74	26	91	29	111	31	89	37	92	32	32	63	0	.	35	71	0	.	227	37	0	.	25	71	0	.	0	.	24	52	56	76	169	53	27	45	0	.	12	58	115	37	64	44	44	43	0	.	44	72	0	.	0	.	0	.	10	67	62	38	67	41	0	.	0	.	0	.	16	83	25	87	17	82	37	66	13	85	0	.	18	58	33	50	45	65	17	80	50	47	100	37	66	41	45	80	150	40	70	0	0	.	41	56	0	.	0	.	26	38	87	68	13	86	34	31	0	.	0	.	0	.	0	.	52	32	46	26	80	23	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	62	8
	total	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
1001-1200 m	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	.
	no visible damage	0	.	0	.	0	.	0	.	345	25	350	23	316	21	290	13	200	.	403	14	0	.	0	.	0	.	0	.	553	19	220	.	369	29	345	40	0	.	264	27	392	22	273	35	114	35	226	21	348	27	321	27	461	38	100	17	448	15	595	25	307	16	354	35	435	12	356	22	305	29	239	23	322	39	0	.	321	41	563	39	558	52	371	14	0	.	442	28	267	30	0	.	0	.	216	37	348	25	547	44	0	.	0	.	0	.	182	35	450	64	293	26	285	35	354	44	423	27	497	44	158	47	238	22	576	21	471	27	349	43	251	34	198	33	679	25	210	.	0	.	412	22	0	.	178	50	358	27	268	22	537	38	203	14	1268	.	0	.	480	.	0	.	315	21	334	20	386	15	257	28	1250	.	0	.	123	51	0	.	0	.	0	.	0	.	0	.	348	4
	fire	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	.	8	93	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	48	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	69
	rockfall	0	.	0	.	0	.	0	.	21	91	7	93	9	62	22	95	0	.	40	46	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	23	47	43	68	34	84	8	91	32	66	35	84	0	.	0	.	0	.	1	97	0	.	0	.	0	.	0	.	0	.	124	35	0	.	229	35	0	.	32	85	69	77	0	.	0	.	0	.	45	80	14	90	0	.	0	.	81	33	24	89	0	.	0	.	0	.	0	.	49	83	62	71	19	88	8	69	89	50	130	59	46	72	14	84	49	44	157	58	0	.	0	.	120	75	27	85	64	88	0	.	0	.	21	96	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	55	57	4	96	29	45	0	.	50	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	14
	various	0	.	0	.	0	.	0	.	28	46	10	67	6	53	3	73	0	.	8	58	0	.	0	.	0	.	0	.	0	.	0	.	13	59	0	.	0	.	4	97	40	53	0	.	52	45	9	47	14	60	6	94	20	54	17	82	15	51	0	.	5	96	0	.	36	53	8	66	14	84	0	.	29	66	0	.	0	.	22	44	0	.	10	95	0	.	0	.	4	90	0	.	0	.	8	59	3	97	34	31	0	.	0	.	0	.	32	83	0	.	0	.	6	94	9	67	8	92	7	93	11	84	3	93	5	89	0	.	0	.	18	58	15	79	0	.	0	.	0	.	13	84	0	.	0	.	0	.	0	.	12	66	6	84	132	.	0	.	0	.	0	.	0	.	4	96	6	67	14	84	0	.	0	.	12	49	0	.	0	.	0	.	0	.	0	.	9	12
	indeterminable	0	.	0	.	0	.	0	.	34	62	31	43	62	26	26	27	0	.	25	22	0	.	0	.	0	.	0	.	113	17	50	.	20	46	38	34	0	.	54	36	100	27	31	46	62	51	34	37	29	70	59	30	50	56	47	25	35	22	17	80	14	42	45	8	41	56	22	32	92	34	17	62	86	30	0	.	28	23	35	35	36	29	39	33	0	.	83	43	25	59	0	.	0	.	27	40	41	33	11	65	0	.	0	.	0	.	23	50	43	71	4	88	53	42	43	27	45	39	92	45	6	84	18	56	80	19	128	27	104	40	0	.	49	50	85	38	150	.	0	.	73	25	0	.	23	51	47	38	40	84	57	33	25	84	88	.	0	.	0	.	0	.	73	34	42	33	27	50	26	54	0	.	0	.	36	50	0	.	0	.	0	.	0	.	0	.	43	6
	wood harvest	0	.	0	.	0	.	0	.	11	87	0	.	2	98	26	37	0	.	4	61	0	.	0	.	0	.	0	.	7	82	0	.	13	63	0	.	0	.	12	70	6	93	0	.	0	.	2	98	0	.	0	.	19	88	47	47	28	65	0	.	5	73	9	74	5	89	14	71	11	84	0	.	0	.	0	.	13	90	0	.	0	.	2	94	0	.	0	.	0	.	0	.	0	.	0	.	11	65	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	27	84	0	.	0	.	0	.	17	81	0	.	0	.	0	.	14	43	0	.	0	.	0	.	25	84	32	48	0	.	0	.	0	.	20	.	0	.	0	.	0	.	0	.	96	42	0	.	0	.	6	86	0	.	0	.	0	.	0	.	0	.	8	16
	other human activity	0	.	0	.	0	.	0	.	0	.	23	56	2	98	3	69	0	.	6	50	0	.	0	.	0	.	0	.	0	.	0	.	22	96	0	.	0	.	13	95	0	.	3	92	10	91	3	97	15	92	12	52	0	.	0	.	7	97	17	80	8	66	0	.	14	86	18	75	14	84	0	.	0	.	0	.	0	.	4	91	0	.	2	95	0	.	0	.	0	.	0	.	0	.	0	.	30	54	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	94	3	92	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	65	0	.	0	.	15	92	0	.	4	90	0	.	0	.	0	.	0	.	0	.	0	.	5	71	2	96	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	19
	weather	0	.	0	.	0	.	0	.	0	.	0	.	4	98	3	60	0	.	12	38	0	.	0	.	0	.	0	.	17	82	0	.	0	.	17	86	0	.	17	75	2	95	0	.	0	.	17	49	42	93	0	.	4	88	17	82	17	56	0	.	0	.	0	.	0	.	0	.	6	89	48	65	9	94	0	.	0	.	4	90	0	.	0	.	0	.	37	88	0	.	0	.	0	.	14	90	4	96	46	76	0	.	0	.	0	.	49	49	0	.	14	63	22	63	0	.	28	59	24	93	23	89	0	.	25	50	81	83	0	.	0	.	34	81	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	95	0	.	13	46	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	17
	lying living trees	0	.	0	.	0	.	0	.	0	.	0	.	4	68	3	97	0	.	0	.	0	.	0	.	0	.	0	.	17	82	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	97	0	.	0	.	63	88	0	.	3	97	0	.	0	.	0	.	0	.	0	.	0	.	22	91	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	55	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	89	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	92	0	.	0	.	0	.	0	.	0	.	7	69	15	96	9	67	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	33
	dead trees	0	.	0	.	0	.	0	.	78	56	81	40	58	21	44	37	150	.	34	30	0	.	0	.	0	.	0	.	183	52	20	.	47	38	90	41	0	.	51	47	69	27	10	93	0	.	68	41	27	68	45	56	39	44	50	0	69	21	15	85	8	65	0	.	14	86	22	47	61	44	21	54	28	37	0	.	48	34	67	44	53	66	10	64	0	.	62	34	24	43	0	.	0	.	70	33	26	59	11	65	0	.	0	.	0	.	65	83	0	.	99	47	75	50	69	33	50	41	32	61	26	86	34	66	29	67	68	81	118	41	170	61	0	.	36	68	100	.	0	.	68	28	0	.	17	82	8	92	17	81	25	41	29	55	0	.	0	.	70	.	0	.	116	19	24	46	72	40	41	58	150	.	0	.	15	86	0	.	0	.	0	.	0	.	0	.	48	7
	total	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
801-1000 m	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	.
	no visible damage	0	.	0	.	0	.	0	.	483	19	607	17	430	20	327	12	422	18	431	11	0	.	0	.	507	12	0	.	0	.	205	67	363	25	204	23	0	.	237	38	235	32	251	20	268	29	405	29	220	.	378	14	398	53	328	20	417	16	382	22	435	16	230	0	313	15	321	16	328	28	0	.	343	24	674	39	604	21	173	22	216	40	393	13	328	15	530	.	291	25	382	31	365	.	637	17	145	2	383	26	432	.	0	.	0	.	490	.	340	26	159	51	459	20	339	23	382	24	303	45	427	21	746	26	738	19	0	.	238	33	305	38	150	.	276	47	445	75	0	.	460	.	590	.	278	59	0	.	280	.	327	22	0	.	508	69	329	44	272	39	132	19	415	22	407	11	334	27	356	18	0	.	0	.	246	21	340	.	0	.	0	.	0	.	0	.	370	3
	fire	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	90	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	93	0	.	0	.	0	.	0	.	0	.	6	94	0	.	0	.	0	.	0	.	0	.	1	77
	rockfall	0	.	0	.	0	.	0	.	0	.	0	.	24	71	2	99	0	.	55	49	0	.	0	.	6	94	0	.	0	.	0	.	0	.	0	.	0	.	160	36	0	.	12	95	0	.	38	79	0	.	0	.	0	.	0	.	0	.	32	78	0	.	0	.	33	92	27	80	9	88	0	.	71	95	0	.	0	.	97	44	0	.	0	.	0	.	20	.	63	77	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	.	29	59	0	.	0	.	34	63	12	89	0	.	23	92	30	69	69	80	0	.	95	61	5	89	0	.	94	75	0	.	0	.	0	.	0	.	0	.	0	.	40	.	0	.	0	.	0	.	0	.	0	.	0	.	27	48	0	.	110	60	0	.	0	.	0	.	12	94	0	.	0	.	0	.	0	.	0	.	22	17
	various	0	.	0	.	0	.	0	.	4	91	2	94	7	50	3	80	15	68	18	69	0	.	0	.	10	70	0	.	0	.	4	88	6	71	0	.	0	.	8	70	0	.	10	64	11	52	11	73	20	.	16	52	10	89	13	65	10	73	6	83	0	.	0	.	8	91	6	94	26	47	0	.	11	62	0	.	0	.	18	96	18	77	25	42	0	.	0	.	0	.	0	.	0	.	9	93	0	.	14	58	0	.	0	.	0	.	0	.	63	89	69	53	78	86	13	49	10	89	11	88	7	93	10	87	0	.	0	.	5	88	0	.	0	.	0	.	23	75	0	.	50	.	0	.	0	.	0	.	20	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	76	0	.	0	.	2	94	0	.	0	.	0	.	0	.	0	.	10	17
	indeterminable	0	.	0	.	0	.	0	.	53	26	48	38	48	24	23	28	20	31	55	18	0	.	0	.	71	42	0	.	0	.	3	94	51	31	58	20	0	.	69	29	35	87	77	18	66	41	61	37	50	.	54	35	18	45	12	64	41	47	38	65	56	69	11	67	27	41	26	45	24	68	0	.	57	39	55	38	191	49	36	40	41	45	38	33	25	50	170	.	103	34	74	24	146	.	96	43	10	72	95	38	91	.	0	.	0	.	120	.	65	31	245	34	109	33	122	35	171	19	41	66	140	47	227	46	41	19	0	.	76	42	120	40	0	.	103	34	27	66	0	.	90	.	140	.	38	63	0	.	0	.	35	87	0	.	0	.	0	.	0	.	0	.	39	30	86	48	59	37	42	40	0	.	0	.	49	43	20	.	0	.	0	.	0	.	0	.	57	7
	wood harvest	0	.	0	.	0	.	0	.	7	59	0	.	3	97	24	63	11	66	8	55	0	.	0	.	0	.	0	.	0	.	24	74	17	96	0	.	0	.	11	95	12	87	9	93	0	.	0	.	0	.	4	76	0	.	44	44	0	.	0	.	29	50	37	67	8	91	11	78	0	.	0	.	0	.	0	.	0	.	15	67	0	.	5	69	48	60	0	.	14	60	0	.	0	.	0	.	95	19	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	57	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	61	0	.	7	78	5	85	77	74	0	.	0	.	0	.	21	95	12	61	0	.	0	.	43	66	80	.	0	.	0	.	0	.	0	.	10	18
	other human activity	0	.	0	.	0	.	0	.	0	.	0	.	24	86	9	49	4	64	12	82	0	.	0	.	14	69	0	.	0	.	26	88	0	.	0	.	0	.	2	93	45	87	0	.	13	60	9	94	0	.	6	58	0	.	11	92	8	79	0	.	13	61	0	.	16	58	5	95	15	82	0	.	0	.	0	.	0	.	5	95	18	77	43	46	5	87	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	92	0	.	0	.	0	.	0	.	9	92	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	68	0	.	0	.	42	94	0	.	0	.	0	.	0	.	0	.	8	21
	weather	0	.	0	.	0	.	0	.	0	.	0	.	6	68	5	76	24	95	5	64	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	88	0	.	26	87	0	.	2	95	38	51	6	94	0	.	2	97	14	61	11	67	7	96	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	93	0	.	0	.	0	.	0	.	0	.	0	.	49	72	0	.	0	.	0	.	29	92	0	.	0	.	0	.	0	.	45	56	16	83	0	.	6	94	10	89	18	57	0	.	13	87	0	.	0	.	5	88	14	89	50	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	83	0	.	15	79	34	67	0	.	7	94	0	.	0	.	2	94	0	.	0	.	0	.	0	.	0	.	7	19
	lying living trees	0	.	0	.	0	.	0	.	7	93	0	.	11	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	91	0	.	0	.	0	.	0	.	0	.	0	.	19	65	0	.	0	.	0	.	0	.	0	.	4	96	16	84	0	.	0	.	8	91	0	.	0	.	0	.	0	.	0	.	0	.	10	65	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	83	0	.	15	59	21	89	0	.	14	60	0	.	0	.	0	.	10	89	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	93	8	91	13	93	0	.	0	.	0	.	6	94	0	.	0	.	0	.	0	.	0	.	3	21
	dead trees	0	.	0	.	0	.	0	.	16	59	67	35	85	30	36	31	46	47	32	24	0	.	0	.	48	38	0	.	0	.	44	65	11	52	15	56	0	.	139	30	18	85	28	37	104	34	45	44	0	.	28	27	63	67	38	92	73	37	39	65	27	70	0	.	0	.	62	36	26	70	100	.	79	44	0	.	52	76	43	39	32	84	23	35	30	51	0	.	56	63	0	.	23	.	33	63	10	72	53	74	0	.	0	.	0	.	150	.	61	38	0	.	13	86	75	31	91	28	153	39	57	55	193	45	56	44	0	.	176	32	72	51	0	.	77	23	0	.	0	.	0	.	50	.	0	.	0	.	0	.	17	87	0	.	31	84	12	88	0	.	26	19	114	47	73	38	91	44	45	35	0	.	0	.	47	36	0	.	0	.	0	.	0	.	0	.	51	7
	total	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
601-800 m	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	.
	no visible damage	203	48	77	38	248	37	247	19	0	.	345	24	360	20	310	13	349	11	416	20	210	.	224	24	285	21	0	.	224	33	313	28	598	10	264	45	0	.	213	34	230	24	247	9	406	25	259	14	350	.	339	12	384	22	398	10	450	4	283	22	0	.	373	14	255	24	0	.	466	29	0	.	0	.	235	13	706	36	539	26	445	22	238	15	412	19	313	43	326	22	224	28	311	16	531	18	0	.	217	33	465	22	170	.	494	26	62	.	0	.	380	.	285	44	467	25	518	22	298	45	245	7	279	29	280	.	150	.	310	.	320	24	451	24	0	.	423	29	120	.	447	26	340	50	535	38	0	.	521	66	409	20	306	22	210	13	349	33	0	.	476	24	447	58	175	26	172	21	355	27	306	15	282	24	331	26	285	16	161	17	0	.	298	8	0	.	336	3
	fire	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	92	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	179	89	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	94	0	.	0	.	62	85	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	64
	rockfall	0	.	0	.	0	.	0	.	0	.	0	.	31	75	0	.	3	99	31	67	0	.	0	.	64	92	0	.	0	.	0	.	0	.	0	.	0	.	47	47	0	.	24	63	0	.	47	89	0	.	5	73	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	89	60	0	.	0	.	0	.	26	56	44	87	16	84	0	.	0	.	0	.	0	.	68	62	12	87	0	.	0	.	7	82	0	.	0	.	0	.	62	.	50	.	0	.	9	91	18	60	0	.	0	.	0	.	28	67	150	.	80	.	170	.	0	.	65	57	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	87	43	86	107	46	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	18
	various	0	.	0	.	0	.	6	70	0	.	30	84	10	80	0	.	11	81	25	47	0	.	20	61	12	66	0	.	23	73	7	93	27	65	5	62	0	.	0	.	0	.	16	51	71	57	39	89	0	.	3	79	31	65	5	51	0	.	11	88	0	.	0	.	0	.	0	.	21	55	0	.	0	.	1	97	0	.	37	68	0	.	0	.	2	95	18	56	8	92	6	94	6	67	0	.	0	.	0	.	13	45	0	.	0	.	0	.	0	.	0	.	63	92	35	72	0	.	160	4	0	.	96	75	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	64	0	.	0	.	8	89	0	.	6	95	5	61	7	66	0	.	0	.	0	.	0	.	0	.	10	19
	indeterminable	41	74	0	.	23	82	15	59	0	.	43	45	35	41	39	22	39	17	23	45	20	.	60	20	46	36	0	.	48	54	91	33	91	27	44	63	0	.	14	60	50	49	64	29	136	25	99	31	40	.	63	22	53	24	36	28	20	77	43	46	0	.	27	50	10	71	0	.	68	25	0	.	62	79	52	46	149	26	21	53	35	49	29	29	30	54	44	33	101	30	20	40	59	35	108	29	0	.	27	54	24	56	0	.	17	62	0	.	100	.	100	.	167	48	43	41	164	29	26	67	95	56	101	37	40	.	0	.	0	.	75	47	66	57	0	.	12	72	20	.	93	67	47	51	5	86	0	.	0	.	0	.	24	51	35	30	18	68	0	.	23	73	37	56	62	87	35	23	20	0	49	35	15	59	30	28	35	26	13	45	0	.	15	28	0	.	47	6
	wood harvest	15	56	0	.	13	41	35	36	0	.	0	.	0	.	22	44	9	35	35	94	0	.	60	33	12	65	0	.	13	91	0	.	0	.	32	30	0	.	0	.	32	93	4	96	0	.	0	.	0	.	20	48	4	64	25	38	68	77	19	90	0	.	16	48	0	.	0	.	11	88	0	.	0	.	9	82	0	.	0	.	0	.	13	94	31	59	18	67	8	91	23	57	19	74	0	.	0	.	0	.	9	64	50	.	13	61	0	.	0	.	50	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	65	40	.	0	.	16	84	18	86	0	.	0	.	0	.	29	67	0	.	11	90	0	.	0	.	12	87	0	.	0	.	0	.	2	94	26	61	29	44	2	95	0	.	0	.	13	86	0	.	13	12
	other human activity	0	.	0	.	7	81	0	.	0	.	0	.	3	95	9	61	2	76	0	.	0	.	0	.	11	90	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	95	0	.	0	.	0	.	5	51	2	96	5	59	0	.	0	.	0	.	0	.	0	.	0	.	10	92	0	.	12	79	4	97	12	88	0	.	0	.	0	.	5	95	0	.	3	91	0	.	8	57	0	.	0	.	0	.	9	64	0	.	7	93	0	.	20	.	0	.	0	.	0	.	0	.	0	.	25	71	0	.	0	.	0	.	50	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	82	0	.	0	.	0	.	0	.	0	.	0	.	12	87	4	89	0	.	19	83	0	.	0	.	0	.	0	.	0	.	13	86	0	.	3	19
	weather	0	.	0	.	0	.	5	50	0	.	0	.	8	65	3	62	3	71	4	94	0	.	0	.	0	.	0	.	0	.	3	93	0	.	14	75	0	.	19	92	16	93	0	.	49	82	29	62	0	.	4	68	14	64	4	98	16	84	20	55	0	.	0	.	0	.	0	.	35	66	0	.	12	79	0	.	12	88	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	97	38	54	0	.	0	.	6	96	0	.	7	93	0	.	70	.	0	.	9	91	8	92	8	69	48	74	10	71	12	94	0	.	0	.	50	.	0	.	0	.	0	.	7	93	0	.	0	.	0	.	25	50	0	.	0	.	0	.	0	.	25	71	0	.	0	.	4	91	37	87	0	.	37	38	0	.	0	.	0	.	3	97	0	.	0	.	0	.	12	87	0	.	6	15
	lying living trees	0	.	16	84	0	.	4	96	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	92	0	.	0	.	0	.	16	92	0	.	2	95	16	82	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	95	0	.	0	.	0	.	7	93	0	.	0	.	0	.	0	.	1	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	94	30	92	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	87	0	.	0	.	0	.	0	.	0	.	7	97	0	.	0	.	0	.	0	.	0	.	2	35
	dead trees	37	30	37	77	0	.	42	25	0	.	67	47	40	32	16	34	18	29	27	30	50	.	0	.	25	63	0	.	23	91	3	93	0	.	19	59	0	.	12	92	29	55	26	31	61	69	199	16	0	.	58	24	84	45	29	28	78	48	21	54	0	.	21	44	0	.	0	.	47	71	0	.	12	79	13	46	87	45	42	59	38	84	35	44	17	42	0	.	78	42	60	64	38	30	82	49	0	.	33	41	27	64	50	.	29	70	0	.	20	.	50	.	123	58	74	49	107	32	86	52	0	.	158	26	50	.	0	.	0	.	105	34	64	44	0	.	31	72	0	.	80	57	0	.	18	58	0	.	87	73	17	82	44	50	0	.	87	52	0	.	11	87	62	53	105	41	137	30	0	.	16	59	29	37	50	44	21	72	34	39	0	.	48	4	0	.	42	7
	total	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
=600 m	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	.
	no visible damage	251	16	270	19	397	18	237	15	0	.	0	.	617	33	344	25	278	9	100	.	203	23	345	20	268	20	190	.	210	3	449	19	0	.	385	15	263	28	0	.	0	.	320	.	0	.	730	46	0	.	273	12	278	16	271	35	0	.	207	37	0	.	0	.	0	.	0	.	0	.	0	.	850	33	324	30	303	30	275	1	398	16	510	.	386	14	276	21	115	47	189	20	310	37	145	24	0	.	240	21	340	22	382	16	293	16	0	.	194	35	350	.	364	44	215	28	452	19	399	23	327	34	267	23	891	21	309	.	330	.	524	17	804	34	0	.	770	.	393	29	350	.	153	37	0	.	0	.	570	21	282	23	410	.	463	24	224	24	0	.	0	.	393	47	0	.	318	29	360	.	221	23	259	20	407	26	286	17	313	18	273	18	342	23	0	.	312	3
	fire	0	.	0	.	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	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	79	67	55	93	0	.	0	.	20	93	7	94	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	56
	rockfall	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	95	64	95	0	.	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	86	0	.	311	64	0	.	5	98	0	.	0	.	0	.	0	.	41	77	0	.	0	.	0	.	0	.	0	.	0	.	7	93	0	.	0	.	44	90	40	43	0	.	7	93	18	93	27	64	0	.	20	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	95	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	38
	various	1	69	0	.	6	77	2	98	0	.	0	.	0	.	8	92	5	38	0	.	9	54	5	66	5	95	0	.	0	.	0	.	0	.	2	94	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	55	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	26	43	0	.	9	45	0	.	0	.	5	94	12	88	23	77	0	.	0	.	4	96	1	98	3	74	0	.	0	.	0	.	165	47	0	.	9	52	10	86	17	95	2	94	0	.	0	.	20	.	0	.	51	39	0	.	0	.	0	.	0	.	25	64	0	.	0	.	0	.	17	81	20	.	20	55	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	87	1	98	9	48	5	43	5	70	0	.	5	15
	indeterminable	36	22	31	25	30	27	23	45	0	.	0	.	23	11	17	58	22	18	0	.	35	36	50	29	30	38	0	.	195	9	24	60	0	.	29	29	26	69	0	.	0	.	0	.	0	.	87	33	0	.	24	22	20	45	35	67	0	.	180	28	0	.	0	.	0	.	0	.	0	.	0	.	0	.	129	12	76	46	20	0	143	34	0	.	44	38	19	42	43	6	40	41	19	55	0	.	0	.	25	71	50	40	29	34	27	32	0	.	86	58	180	.	571	23	83	39	143	27	107	70	75	31	244	35	11	77	100	.	150	.	136	13	42	64	0	.	170	.	7	58	0	.	16	58	0	.	0	.	34	49	41	81	100	.	24	42	25	69	0	.	0	.	24	81	0	.	47	43	0	.	28	41	35	32	12	87	22	30	40	33	51	32	24	29	0	.	45	7
	wood harvest	13	37	5	76	6	97	14	43	0	.	0	.	0	.	8	92	15	24	0	.	0	.	6	71	12	95	0	.	0	.	11	53	0	.	19	65	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	46	17	73	10	64	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	86	30	71	0	.	0	.	9	50	19	52	7	82	0	.	0	.	0	.	0	.	0	.	18	64	5	67	12	75	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	65	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	26	57	20	72	0	.	0	.	0	.	0	.	0	.	0	.	17	91	27	62	0	.	12	53	5	73	6	77	0	.	0	.	9	12
	other human activity	1	99	5	98	0	.	0	.	0	.	0	.	0	.	17	92	5	58	0	.	10	95	0	.	0	.	20	.	0	.	0	.	0	.	3	93	5	93	0	.	0	.	0	.	0	.	7	82	0	.	4	59	5	97	2	94	0	.	10	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	88	0	.	0	.	43	56	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	48	85	0	.	0	.	0	.	27	62	180	.	0	.	0	.	3	66	0	.	0	.	12	74	0	.	22	.	0	.	178	52	0	.	0	.	50	.	0	.	0	.	0	.	0	.	0	.	10	90	0	.	0	.	10	89	0	.	0	.	0	.	0	.	0	.	2	95	0	.	18	58	8	64	14	84	1	98	0	.	6	60	0	.	0	.	6	22
	weather	0	.	4	59	0	.	7	65	0	.	0	.	11	65	0	.	8	26	0	.	0	.	13	82	5	95	0	.	20	72	11	94	0	.	2	94	3	93	0	.	0	.	0	.	0	.	0	.	0	.	10	47	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	89	0	.	0	.	0	.	0	.	1	98	5	95	0	.	0	.	20	84	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	93	0	.	48	74	16	92	8	79	23	86	0	.	21	63	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	58	0	.	0	.	0	.	0	.	0	.	0	.	50	.	70	90	0	.	0	.	0	.	0	.	0	.	8	69	0	.	3	91	0	.	0	.	2	98	0	.	0	.	0	.	0	.	5	17
	lying living trees	1	99	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	95	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	82	0	.	0	.	0	.	6	94	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	91	0	.	0	.	0	.	0	.	0	.	14	84	0	.	0	.	0	.	10	95	0	.	0	.	0	.	0	.	0	.	0	.	3	92	4	72	0	.	0	.	12	93	24	77	0	.	0	.	0	.	0	.	0	.	0	.	8	91	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	66	0	.	0	.	1	27
	dead trees	15	41	19	38	3	96	18	39	0	.	0	.	11	65	7	58	15	23	0	.	24	64	40	42	45	50	0	.	36	69	37	64	0	.	28	55	62	34	0	.	0	.	0	.	0	.	140	39	0	.	43	30	13	53	27	45	0	.	88	31	0	.	0	.	0	.	0	.	0	.	0	.	50	0	76	35	47	35	75	24	31	64	0	.	23	39	7	71	68	81	15	94	69	50	152	35	0	.	25	71	5	94	12	79	5	67	0	.	51	73	80	.	179	30	133	50	189	18	64	52	108	47	135	28	24	77	0	.	0	.	74	4	9	77	0	.	0	.	92	46	0	.	68	85	0	.	0	.	50	57	36	41	50	.	64	45	25	69	0	.	0	.	50	47	50	.	40	50	0	.	32	47	17	44	12	88	16	43	28	34	9	57	15	54	0	.	35	8
	total	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
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	.
	no visible damage	245	16	251	19	373	17	240	12	378	14	433	13	310	7	297	7	312	7	401	7	204	21	313	18	352	12	190	.	309	20	404	15	335	15	331	15	263	28	295	13	264	9	295	10	329	10	302	7	316	6	321	7	350	14	346	10	420	9	351	17	366	12	336	12	294	16	317	13	424	22	416	19	349	16	313	17	427	19	316	16	358	13	328	9	386	10	350	14	270	15	223	16	313	14	343	13	320	16	324	15	403	16	372	16	344	15	288	25	300	14	273	12	293	17	314	18	436	12	370	12	320	15	341	13	434	19	391	15	312	19	331	13	271	18	465	21	429	22	354	30	352	14	274	31	326	30	326	11	385	19	381	17	289	14	503	25	319	24	327	28	376	28	288	9	330	10	331	8	303	16	334	20	268	16	297	16	287	12	287	17	273	18	333	18	0	.	327	1
	fire	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	100	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	2	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	98	22	62	4	99	6	93	4	99	14	82	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	99	1	100	0	.	0	.	0	.	2	98	0	.	0	.	0	.	0	.	0	.	1	36
	rockfall	0	.	0	.	0	.	0	.	7	83	2	98	20	23	6	80	1	100	39	33	0	.	5	97	45	67	0	.	0	.	0	.	18	69	0	.	0	.	48	31	7	53	12	46	10	49	21	24	7	45	1	74	0	.	0	.	5	92	7	96	0	.	0	.	14	97	11	84	50	40	0	.	64	41	0	.	11	54	52	33	84	71	5	99	3	99	11	82	24	72	29	67	9	88	29	44	12	86	1	98	0	.	0	.	0	.	20	45	22	34	5	69	7	53	47	33	38	39	14	52	16	46	25	31	64	40	15	65	31	51	24	79	22	44	40	44	0	.	0	.	10	91	0	.	0	.	0	.	2	97	0	.	0	.	0	.	0	.	0	.	0	.	15	26	8	40	29	28	0	.	3	97	0	.	3	98	0	.	0	.	0	.	0	.	0	.	14	7
	various	1	69	0	.	5	78	3	59	14	39	12	64	7	21	2	50	8	42	15	40	8	55	9	50	8	44	0	.	11	79	4	57	17	37	2	55	0	.	4	46	10	30	9	28	14	30	8	28	9	26	8	33	14	46	6	38	11	37	5	73	8	71	2	95	14	54	7	49	14	38	0	.	9	47	1	98	0	.	19	37	14	36	15	28	6	43	6	55	3	74	5	67	7	54	7	39	3	69	11	42	8	43	1	98	2	75	9	68	9	93	11	50	30	48	13	50	7	42	12	37	10	46	26	61	1	98	0	.	2	67	7	45	11	38	2	97	7	66	0	.	8	63	13	72	0	.	11	40	6	57	7	50	7	56	19	59	0	.	0	.	10	68	6	48	8	31	8	47	12	63	3	97	2	67	8	46	1	99	8	50	5	43	4	72	0	.	8	6
	indeterminable	37	21	28	26	29	26	21	38	44	23	43	23	52	9	30	14	27	12	39	14	33	35	53	21	47	26	0	.	88	26	53	24	38	19	41	24	26	69	48	17	51	12	58	15	54	18	58	11	59	10	46	15	38	22	33	24	40	21	52	35	30	43	27	31	25	37	24	24	57	19	38	33	53	19	66	27	91	30	34	19	67	26	34	20	38	30	50	25	75	22	35	27	56	31	44	28	43	21	53	30	40	31	27	34	25	29	48	31	64	23	60	28	93	28	74	22	130	17	53	20	68	25	111	25	73	24	171	32	63	24	57	26	41	25	78	26	49	35	9	44	53	25	42	39	19	46	22	29	21	38	42	26	31	28	23	36	13	56	0	.	16	77	38	12	62	12	47	12	29	33	38	30	27	29	33	23	25	21	36	32	51	32	22	25	0	.	48	2
	wood harvest	13	33	5	76	7	69	20	29	6	59	0	.	4	37	22	27	12	19	9	51	0	.	21	42	8	66	0	.	15	56	13	43	10	49	14	35	0	.	6	51	5	66	3	53	4	66	2	38	4	52	16	33	10	54	26	26	16	45	18	67	12	46	17	41	5	72	12	46	5	68	0	.	1	98	6	83	8	65	5	59	0	.	5	53	19	36	12	44	8	48	10	63	15	75	0	.	16	37	0	.	13	48	7	54	13	58	0	.	0	.	2	99	0	.	0	.	0	.	0	.	0	.	0	.	6	97	6	96	7	60	2	98	2	98	0	.	8	69	6	93	8	42	6	94	6	96	4	59	6	71	12	46	12	72	12	56	10	53	62	70	0	.	1	70	4	63	3	62	29	49	8	81	26	45	26	39	11	44	4	74	6	77	3	97	0	.	7	6
	other human activity	1	99	5	98	1	97	0	.	0	.	9	52	8	35	7	33	4	46	7	62	9	96	0	.	7	58	20	.	0	.	5	98	16	55	1	98	5	93	4	79	4	63	3	55	4	35	5	34	4	64	5	28	2	79	5	47	5	58	5	73	9	46	0	.	11	52	12	56	8	53	3	76	2	71	7	71	5	68	3	59	19	42	17	40	2	75	0	.	1	98	0	.	6	58	0	.	16	52	4	98	27	75	0	.	2	98	1	98	7	54	14	54	0	.	4	99	2	56	1	99	2	99	3	79	12	89	25	88	4	68	20	68	0	.	21	93	6	67	0	.	4	68	0	.	0	.	6	72	2	98	2	67	0	.	4	96	0	.	0	.	0	.	4	58	5	41	1	49	4	73	17	57	5	67	13	85	1	99	0	.	6	60	3	97	0	.	5	9
	weather	0	.	4	59	0	.	6	50	0	.	0	.	12	20	8	28	8	30	7	31	0	.	9	83	2	98	0	.	8	65	5	63	11	43	11	42	3	93	16	42	8	34	3	56	9	35	13	24	9	29	5	38	11	47	5	55	12	34	7	66	0	.	0	.	0	.	0	.	27	50	14	55	11	44	1	98	3	76	6	53	6	70	1	99	1	99	10	79	0	.	5	98	5	79	17	41	15	47	18	61	3	98	0	.	2	98	22	36	27	26	16	40	19	39	8	50	16	35	22	24	6	53	12	36	5	67	37	65	7	49	8	56	10	49	0	.	4	96	15	60	2	98	0	.	9	65	2	99	0	.	1	97	10	45	32	84	0	.	9	88	3	94	14	19	9	30	19	20	3	97	1	97	0	.	2	75	2	98	0	.	0	.	3	97	0	.	9	5
	lying living trees	1	99	3	69	0	.	1	99	3	98	0	.	2	42	1	99	0	.	1	99	4	96	0	.	0	.	0	.	4	96	3	68	0	.	0	.	0	.	5	58	6	99	2	63	4	46	5	58	4	41	0	.	10	82	1	99	3	57	3	97	1	98	0	.	3	97	0	.	0	.	6	72	3	99	3	97	0	.	5	48	5	69	3	69	0	.	0	.	0	.	0	.	3	75	5	74	3	97	0	.	5	97	0	.	0	.	6	72	2	75	5	55	8	70	11	65	4	66	2	71	3	69	3	99	3	98	4	96	6	71	0	.	4	68	2	98	0	.	7	93	0	.	0	.	0	.	0	.	0	.	2	98	1	97	0	.	0	.	0	.	0	.	7	29	5	51	10	45	0	.	0	.	0	.	5	72	0	.	0	.	7	66	0	.	0	.	3	12
	dead trees	18	33	21	35	3	96	25	25	38	40	71	22	76	12	32	18	19	17	30	17	26	54	29	45	41	29	0	.	82	42	64	34	66	27	48	29	62	34	66	20	44	17	39	24	52	19	64	13	40	14	45	16	44	31	31	24	120	22	31	34	15	46	12	51	4	96	38	29	46	28	67	34	57	22	22	38	51	26	56	20	56	33	34	29	22	28	21	39	56	31	33	56	43	26	48	24	71	51	48	35	15	58	14	68	11	54	41	33	47	22	36	30	61	29	77	23	128	15	43	22	41	35	94	20	36	34	46	42	90	23	72	33	35	29	55	34	34	42	78	48	53	24	40	78	11	54	19	36	57	42	21	26	49	32	34	46	47	49	18	85	16	47	62	13	57	17	86	15	37	29	31	36	22	29	40	30	17	38	29	29	9	57	22	32	0	.	49	3
	total	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.

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. 2289167. Birmensdorf, Swiss Federal Research Institute WSL

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