Selection from the list of topics

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

1. What do the numbers stand for?

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

Example 1: Estimated value and standard error

NFI5

volume of deadwood (stemwood)
ownership (2 categories)

regional demarcation: production region

unit: m³/ha

evaluation area: accessible forest without shrub forest

grid: 1.4 km grid, subgrids 1-5

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

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

top

2. What is the purpose of the standard error?

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

The statistical certainty is:

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

Example 2: Calculating confidence intervals

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

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

Procedure

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

Answer

			Step 1	Step 2

ownership (2 categories)	volume of deadwood Jura NFI5
	estimated value	standard error		confidence interval
		relative	absolute	68%	95%
	m³/ha	±%	±m³/ha	m³/ha	m³/ha
public	30	10	3	27-33	24-36
private	27	17	5	22-32	17-37
total	29	9	3	26-32calculated with the standard error, i.e. 29 ± 3	23-35calculated with twice the standard error, i.e. 29 ± 2 × 3

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

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

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

Data: see example 2

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

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

top

3. When are two results statistically different?*

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

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

Example 4: Interpretation of two results from the same inventory

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

	case 2						case 1

case 1

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

Procedure

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

Answer

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

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

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

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

Case 2

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

Procedure

See case 1.

Answer

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

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

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

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

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

Example 5: Interpretation of two results from different inventories

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

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

Procedure

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

Answer

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

The 68%-confidence intervals do not overlap in the public forest and the total forest (pairs of values in ), but they do in the private 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 and the total forest of the Plateau has decreased. For the private 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 and total forest.

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

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

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

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

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

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

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

Procedure

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

Answer

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

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

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

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

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

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

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

Procedure

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

Answer

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

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

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

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

top

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

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

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

Example 8: Standard error and combination of variable expressions

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

The standard error increases as the level of detail increases.

Large standard errors are to be expected if:

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

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

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

top

5. Two types of changes?

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

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

top

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

The results are:

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

Example 9: : Additivity/non-additivity of changes

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

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

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

Example 10: Average number of years per domain

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

top

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

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

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

top

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

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

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

top

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

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

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

top

NFI5
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: 1000 n
evaluation area: accessible forest without shrub forest
grid: 1.4 km grid, subgrids 1-5
state 2018/26
		forest district (2024)
		AG01		AG02		AG03		AG04		AI01		AR01		BE01		BE02		BE03		BE04		BSBL01		BSBL02		BSBL03		BSBL04		FR01		FR02		FR03		FR04		GE01		GL01		GR01		GR02		GR03		GR04		GR05		JU01		LU01		LU02		LU03		NE01		NE02		NE03		NE04		NE06		NW01		OW01		OW02		SG01		SG02		SG03		SG04		SG05		SH01		SO01		SO02		SO03		SO04		SZ01		SZ02		SZ03		TG01		TG02		TG03		TI01		TI02		TI03		TI04		TI05		TI06		TI07		TI08		TI09		UR01		UR02		UR03		VD02		VD03		VD04		VD05		VD06		VD07		VD08		VD09		VD11		VD12		VD14		VD15		VD16		VD18		VD20		VD22		VS01		VS02		VS03		ZG01		ZH01		ZH02		ZH03		ZH04		ZH05		ZH06		ZH07		lakes		Switzerland
altitude (in 200 m classes)	cause of damage to trees (10 classes)	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%
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	.	817	47	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	496	.	0	.	0	.	0	.	975	29	485	55	534	44	2329	26	8794	14	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	255	.	0	.	0	.	71	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	49	.	622	46	789	41	141	76	0	.	0	.	723	44	94	75	7	.	0	.	0	.	0	.	0	.	22	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2801	23	2216	28	856	33	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	23075	8
	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	.	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100
	rockfall	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	156	89	162	41	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	180	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	.	195	35	103	45	35	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	830	26
	various	0	.	0	.	0	.	0	.	0	.	0	.	50	54	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	86	55	25	77	14	71	190	39	394	34	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	.	29	61	34	71	0	.	0	.	0	.	49	55	0	.	18	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	64	62	151	51	28	61	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1166	16
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	402	40	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	.	0	.	0	.	0	.	666	31	171	58	400	42	1323	25	2753	17	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	55	.	0	.	0	.	60	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	261	43	223	49	97	100	0	.	0	.	147	47	49	100	18	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1299	25	572	28	279	39	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8789	9
	wood harvest	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	100	0	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	35	100	30	72	14	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	100	45
	other human activity	0	.	0	.	0	.	0	.	0	.	0	.	23	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	100	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	.	40	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	.	127	65	126	82	39	83	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	462	33
	weather	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	69	73	21	75	21	58	187	50	205	28	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	79	81	79	91	194	100	0	.	0	.	43	62	0	.	7	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	235	30	67	48	125	64	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1350	20
	lying living trees	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	163	90	0	.	0	.	34	71	289	33	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	77	0	.	0	.	0	.	33	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	70	50	0	.	69	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	684	29
	dead trees	0	.	0	.	0	.	0	.	0	.	0	.	459	56	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	479	41	57	52	206	62	653	34	2139	20	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	.	69	61	144	53	0	.	0	.	0	.	57	58	16	100	43	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	896	26	663	42	268	41	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6175	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	.	2947	22	32	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	331	.	7	.	0	.	0	.	529	82	2292	30	701	54	1747	29	2593	26	2012	23	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	890	84	514	99	873	63	0	.	0	.	544	65	0	.	272	.	0	.	0	.	0	.	0	.	0	.	70	.	0	.	0	.	0	.	0	.	0	.	294	58	1245	41	379	63	84	76	0	.	0	.	1109	36	631	39	523	67	31	.	161	62	0	.	445	53	226	62	76	80	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3301	24	1969	38	1436	36	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28262	8
	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	.	210	47	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	.	0	.	0	.	0	.	0	.	7	100	0	.	58	69	56	56	228	46	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	87	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	52	61	97	100	0	.	0	.	0	.	0	.	25	77	7	100	0	.	0	.	0	.	0	.	0	.	24	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	89	51	33	71	40	73	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1033	20
	various	0	.	0	.	0	.	0	.	0	.	0	.	265	57	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	68	70	83	55	7	100	30	59	79	46	247	44	0	.	0	.	0	.	9	.	0	.	0	.	0	.	0	.	0	.	12	100	17	100	48	73	0	.	0	.	22	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	100	102	48	0	.	14	100	0	.	0	.	133	70	59	67	0	.	0	.	136	94	18	100	7	100	25	58	9	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	68	46	66	62	63	48	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1611	17
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	1286	22	14	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	181	.	25	.	0	.	0	.	267	68	404	33	145	41	678	33	743	28	983	26	0	.	0	.	0	.	22	.	0	.	0	.	0	.	0	.	0	.	57	79	7	100	292	64	0	.	0	.	25	77	0	.	0	.	0	.	0	.	0	.	0	.	0	.	40	.	0	.	0	.	0	.	0	.	0	.	150	62	356	50	65	74	76	56	16	.	0	.	143	45	123	50	60	100	24	.	200	67	25	100	60	60	35	83	16	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	985	27	851	33	565	31	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8921	9
	wood harvest	0	.	0	.	0	.	0	.	0	.	0	.	55	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	26	60	0	.	0	.	0	.	42	69	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	130	50
	other human activity	0	.	0	.	0	.	0	.	0	.	0	.	72	59	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	95	93	77	72	18	100	26	100	18	100	84	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	76	0	.	0	.	0	.	0	.	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	201	57	26	77	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	667	27
	weather	0	.	0	.	0	.	0	.	0	.	0	.	224	35	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	17	100	56	58	157	53	133	42	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	100	0	.	0	.	0	.	0	.	17	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	21	58	48	58	0	.	16	100	16	.	0	.	100	43	41	61	14	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	117	49	110	58	226	75	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1337	18
	lying living trees	0	.	0	.	0	.	0	.	0	.	0	.	63	65	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	100	35	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	72	100	0	.	0	.	0	.	0	.	22	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	76	18	100	25	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	294	34
	dead trees	0	.	0	.	0	.	0	.	0	.	0	.	1164	32	7	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	92	.	0	.	0	.	0	.	21	75	220	44	38	100	399	34	517	31	357	38	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	95	93	67	79	377	76	0	.	0	.	75	65	0	.	127	.	0	.	0	.	0	.	0	.	0	.	7	.	0	.	0	.	0	.	0	.	0	.	92	47	135	51	7	100	0	.	16	.	0	.	213	45	49	75	25	77	7	.	79	67	0	.	14	71	70	100	55	85	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	681	27	584	46	986	47	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6577	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	.	4216	19	200	52	0	.	106	73	0	.	0	.	0	.	0	.	0	.	323	71	173	60	45	.	0	.	444	49	1101	35	995	45	2557	26	4619	21	2211	29	0	.	167	.	0	.	829	51	0	.	0	.	0	.	0	.	0	.	79	100	1265	39	296	51	0	.	469	74	479	47	207	71	0	.	0	.	0	.	0	.	0	.	0	.	303	53	689	55	205	71	0	.	0	.	0	.	967	57	920	57	370	47	387	71	0	.	36	.	1293	34	737	76	791	48	526	60	305	89	841	48	525	58	703	45	1428	53	0	.	0	.	87	88	0	.	0	.	341	54	26	.	120	77	386	53	0	.	0	.	0	.	0	.	1918	30	1684	30	2466	28	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	38834	7
	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	.	676	43	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	72	0	.	0	.	32	71	42	85	0	.	317	60	217	58	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	114	100	6	100	0	.	0	.	0	.	25	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	97	67	46	100	96	100	34	71	0	.	0	.	36	100	0	.	18	100	25	77	0	.	0	.	0	.	7	100	6	100	0	.	0	.	13	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	81	53	85	66	222	65	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2227	20
	various	0	.	0	.	0	.	0	.	0	.	0	.	151	38	0	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	24	100	80	70	0	.	0	.	25	76	7	100	0	.	136	58	130	37	27	60	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	44	100	0	.	9	100	0	.	0	.	0	.	0	.	0	.	42	72	110	100	0	.	0	.	0	.	0	.	32	81	56	71	58	75	14	70	0	.	36	.	82	53	18	100	90	72	14	71	0	.	18	100	0	.	38	55	6	100	0	.	0	.	81	71	0	.	0	.	43	71	7	.	0	.	0	.	0	.	0	.	0	.	0	.	39	100	122	41	71	49	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1623	14
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	1647	18	91	63	0	.	28	78	0	.	0	.	0	.	0	.	0	.	239	82	197	57	55	.	0	.	270	50	619	36	150	46	749	27	1059	21	491	41	0	.	52	.	0	.	192	46	0	.	0	.	0	.	0	.	0	.	52	100	389	42	123	56	0	.	52	100	91	69	31	83	31	100	0	.	0	.	0	.	0	.	0	.	119	68	37	72	18	100	0	.	0	.	0	.	242	57	142	53	199	47	80	63	0	.	18	.	316	38	36	100	224	70	213	64	55	100	204	46	108	66	216	40	160	48	0	.	0	.	53	71	0	.	0	.	67	62	7	.	31	100	61	61	0	.	0	.	0	.	0	.	322	39	577	28	918	28	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11030	7
	wood harvest	0	.	0	.	0	.	0	.	0	.	0	.	39	55	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	100	0	.	7	100	105	49	0	.	0	.	0	.	0	.	42	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	37	100	0	.	24	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	31	64	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	342	26
	other human activity	0	.	0	.	0	.	0	.	0	.	0	.	163	44	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	100	0	.	0	.	0	.	29	63	0	.	96	60	39	84	35	82	0	.	0	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	57	100	17	100	0	.	0	.	0	.	0	.	15	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	100	0	.	0	.	0	.	0	.	0	.	0	.	18	100	71	100	0	.	0	.	0	.	7	100	76	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	42	84	93	66	538	93	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1340	40
	weather	0	.	0	.	0	.	0	.	0	.	0	.	205	35	27	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	71	6	.	0	.	25	76	23	78	0	.	102	46	275	33	42	61	0	.	0	.	0	.	33	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	47	78	0	.	0	.	0	.	0	.	0	.	35	100	19	100	18	100	0	.	0	.	0	.	68	47	34	71	79	71	0	.	0	.	99	77	17	100	17	100	0	.	0	.	0	.	0	.	0	.	0	.	26	78	0	.	0	.	0	.	0	.	0	.	0	.	0	.	61	52	115	54	161	46	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1564	13
	lying living trees	0	.	0	.	0	.	0	.	0	.	0	.	15	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	87	82	0	.	0	.	52	74	18	100	17	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	58	100	0	.	0	.	0	.	0	.	0	.	18	100	0	.	0	.	0	.	0	.	0	.	66	70	18	100	0	.	0	.	0	.	0	.	0	.	18	100	22	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	100	35	100	145	77	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	605	28
	dead trees	0	.	0	.	0	.	0	.	0	.	0	.	1378	24	161	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	153	80	362	64	15	.	0	.	239	70	182	46	155	66	739	39	1280	26	591	62	0	.	45	.	0	.	384	59	0	.	0	.	0	.	0	.	0	.	30	100	140	45	73	72	0	.	36	100	118	48	142	88	9	100	0	.	0	.	0	.	0	.	0	.	100	51	311	97	48	100	0	.	0	.	0	.	185	63	182	47	187	50	7	100	0	.	0	.	241	51	18	100	105	72	53	76	15	100	170	61	29	79	252	50	262	57	0	.	0	.	19	100	0	.	0	.	8	100	0	.	25	75	134	84	0	.	0	.	0	.	0	.	422	45	337	34	809	29	31	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10182	9
	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	.	448	53	47	86	3173	24	612	36	0	.	583	43	0	.	0	.	0	.	0	.	111	.	1212	41	903	36	562	55	0	.	525	43	623	43	1110	43	954	44	1615	31	716	39	0	.	197	82	0	.	1101	46	109	.	342	74	116	.	38	100	161	62	239	75	625	59	633	46	0	.	160	100	878	41	448	49	697	40	0	.	230	72	0	.	0	.	0	.	557	44	811	41	501	48	0	.	0	.	0	.	177	81	238	65	198	58	616	60	243	66	29	.	1780	39	330	71	379	47	140	100	408	62	862	49	468	63	216	63	895	54	217	73	0	.	1236	52	0	.	41	.	1890	27	538	47	303	53	207	78	47	.	0	.	0	.	0	.	1893	37	1631	36	2260	28	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	38280	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	.	33	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	33	100
	rockfall	0	.	0	.	0	.	0	.	27	100	18	100	395	40	160	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	223	83	0	.	0	.	165	92	157	81	0	.	32	83	239	50	7	100	0	.	129	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	33	71	0	.	0	.	378	51	15	100	85	79	0	.	0	.	0	.	0	.	0	.	276	91	32	81	0	.	0	.	0	.	0	.	62	71	0	.	42	100	73	65	94	71	0	.	184	58	56	100	18	100	114	94	0	.	18	100	0	.	52	100	77	67	0	.	0	.	21	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	83	92	138	61	237	61	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3641	15
	various	0	.	0	.	0	.	0	.	31	81	82	100	119	46	46	65	0	.	54	63	0	.	0	.	0	.	0	.	0	.	35	100	66	100	33	71	0	.	85	82	0	0	74	64	22	75	65	50	36	71	0	.	0	.	0	.	92	100	0	.	0	.	0	.	8	100	8	100	0	.	6	100	15	100	0	.	67	100	112	48	69	65	80	60	0	.	52	100	0	.	0	.	0	.	47	62	6	100	12	100	0	.	0	.	0	.	16	100	0	.	8	100	61	77	25	100	29	.	33	81	79	100	111	63	0	.	71	100	7	100	44	61	6	100	25	100	15	100	0	.	14	71	0	.	0	.	81	64	45	62	42	73	0	.	0	.	0	.	0	.	0	.	337	66	71	61	336	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2779	16
	indeterminable	0	.	0	.	0	.	0	.	107	56	68	100	986	24	159	48	0	.	117	59	0	.	0	.	0	.	0	.	18	.	160	68	285	44	70	76	0	.	245	49	203	44	405	39	344	51	574	31	465	48	0	.	98	75	0	.	506	37	27	.	35	81	8	.	15	100	39	70	59	72	150	56	176	56	0	.	8	100	258	41	159	47	227	42	0	.	106	71	0	.	0	.	0	.	123	54	142	52	83	66	0	.	0	.	0	.	58	68	105	57	85	58	239	51	16	100	29	.	375	46	58	65	112	51	7	100	80	59	245	47	170	60	35	100	119	60	52	72	0	.	90	49	0	.	0	.	218	41	90	48	141	57	59	72	0	.	0	.	0	.	0	.	226	42	179	36	525	34	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9741	7
	wood harvest	0	.	0	.	0	.	0	.	0	.	0	.	77	74	21	100	0	.	23	100	0	.	0	.	0	.	0	.	7	.	15	100	15	100	0	.	0	.	96	63	0	.	32	80	46	78	39	72	22	75	0	.	0	.	0	.	22	75	0	.	0	.	0	.	0	.	20	100	0	.	0	.	0	.	0	.	0	.	22	100	0	.	7	100	0	.	0	.	0	.	0	.	0	.	6	100	61	100	0	.	0	.	0	.	0	.	0	.	14	70	0	.	0	.	0	.	0	.	0	.	0	.	15	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	37	61	31	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	629	21
	other human activity	0	.	0	.	0	.	0	.	9	100	24	100	88	68	19	100	0	.	14	70	0	.	0	.	0	.	0	.	0	.	0	.	164	72	0	.	0	.	0	.	35	100	57	88	34	100	50	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	23	74	0	.	0	.	0	.	0	.	0	.	0	.	13	100	64	90	0	.	0	.	0	.	0	.	0	.	0	.	0	.	26	71	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	7	100	0	.	0	.	33	100	0	.	0	.	0	.	0	.	46	60	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	739	24
	weather	0	.	0	.	0	.	0	.	0	.	0	.	97	56	15	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	100	102	52	30	100	0	.	44	62	0	.	11	100	23	78	154	41	87	85	0	.	0	.	0	.	66	53	0	.	83	100	0	.	0	.	0	.	0	.	30	71	0	.	0	.	0	.	62	69	29	100	7	100	0	.	24	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	73	72	0	.	0	.	33	70	0	.	0	.	101	52	0	.	43	61	26	100	105	85	0	.	0	.	0	.	7	100	0	.	0	.	7	100	0	.	0	.	48	100	66	80	25	75	7	100	0	.	0	.	0	.	0	.	18	100	40	100	43	61	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1526	15
	lying living trees	0	.	0	.	0	.	0	.	6	100	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	55	74	0	.	0	.	0	.	39	70	0	.	0	.	0	.	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	35	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	100	0	.	18	100	7	100	0	.	0	.	18	100	28	100	0	.	0	.	123	100	35	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	54	58	24	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	493	31
	dead trees	0	.	0	.	0	.	0	.	80	55	80	73	688	28	250	54	0	.	121	73	0	.	0	.	0	.	0	.	54	.	183	72	231	42	221	73	0	.	654	52	174	45	212	49	350	43	644	37	397	51	0	.	80	73	0	.	700	49	0	.	19	100	0	.	0	.	25	75	12	100	106	71	71	60	0	.	9	100	244	42	98	58	235	42	0	.	48	100	0	.	0	.	0	.	52	77	258	45	174	67	0	.	0	.	0	.	99	84	35	100	35	100	143	58	0	.	0	.	159	47	47	72	75	77	44	100	158	90	223	58	71	79	46	72	266	61	70	76	0	.	130	67	0	.	7	.	167	48	183	72	113	57	15	71	0	.	0	.	0	.	0	.	361	36	273	47	697	33	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9886	9
	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	.	441	55	506	52	2876	28	2337	22	69	.	2633	24	0	.	0	.	0	.	0	.	358	57	124	.	1525	39	525	51	0	.	707	38	1120	44	222	57	349	58	1652	33	640	45	942	45	599	56	148	61	2013	31	473	61	1289	32	210	88	600	53	1222	37	449	60	413	57	626	49	0	.	397	61	934	58	345	90	702	37	0	.	849	56	605	47	0	.	0	.	449	54	1089	36	163	71	0	.	0	.	0	.	265	64	225	100	291	59	1097	46	868	54	1088	45	966	50	272	53	397	46	657	58	463	60	361	76	259	64	227	60	867	53	106	.	0	.	1273	33	0	.	170	77	602	43	314	60	970	47	361	71	214	.	0	.	151	.	0	.	1013	35	1575	34	1453	31	253	52	42	.	0	.	121	75	0	.	0	.	0	.	0	.	0	.	47520	6
	fire	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	65	100	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	78	84
	rockfall	0	.	0	.	0	.	0	.	67	100	0	.	65	81	123	73	0	.	112	71	0	.	0	.	0	.	0	.	0	.	0	.	15	100	0	.	0	.	160	60	83	66	51	76	221	78	172	53	21	100	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	153	78	35	100	450	50	0	.	7	100	86	74	0	.	0	.	0	.	137	76	52	72	0	.	0	.	62	54	29	100	0	.	0	.	0	.	0	.	16	100	31	100	21	100	76	56	201	60	170	75	181	69	0	.	56	63	346	68	18	100	15	100	220	78	30	72	174	72	0	.	0	.	15	71	0	.	16	100	21	100	0	.	0	.	46	100	0	.	0	.	0	.	0	.	185	84	18	100	124	54	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4080	14
	various	0	.	0	.	0	.	0	.	55	60	39	100	63	47	55	64	0	.	93	48	0	.	0	.	0	.	0	.	6	100	0	.	90	86	0	.	0	.	24	61	56	81	32	100	69	100	158	67	0	.	62	71	17	100	0	.	49	53	0	.	103	57	0	.	27	100	54	63	0	0	17	100	135	91	0	.	18	100	26	77	0	.	31	64	0	.	0	.	17	100	0	.	0	.	17	100	88	83	7	100	0	.	0	.	0	.	0	.	155	100	32	70	32	81	25	77	54	58	25	76	8	100	74	78	68	71	162	75	69	100	18	100	59	78	21	100	0	.	0	.	96	86	0	.	0	.	0	.	8	100	0	.	7	100	0	.	0	.	0	.	0	.	33	82	90	66	95	50	25	100	0	.	0	.	20	74	0	.	0	.	0	.	0	.	0	.	2587	14
	indeterminable	0	.	0	.	0	.	0	.	125	81	74	49	665	27	357	35	7	.	337	31	0	.	0	.	0	.	0	.	61	76	15	.	274	70	195	48	0	.	376	41	313	39	353	66	155	56	384	37	281	77	171	47	75	80	21	77	293	43	78	79	150	39	19	100	88	54	131	50	76	74	19	73	142	61	0	.	87	53	130	60	23	79	277	46	0	.	103	67	26	78	0	.	0	.	154	41	352	38	29	71	0	.	0	.	0	.	95	72	17	100	146	53	241	46	375	50	227	49	213	55	73	100	81	65	85	55	43	85	102	75	30	71	57	59	122	76	30	.	0	.	281	36	0	.	15	71	134	53	35	100	95	50	7	100	69	.	0	.	0	.	0	.	155	50	352	46	378	37	69	54	17	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	9972	7
	wood harvest	0	.	0	.	0	.	0	.	14	71	13	71	7	100	128	39	0	.	210	41	0	.	0	.	0	.	0	.	6	100	0	.	88	67	0	.	0	.	115	62	7	100	26	100	0	.	0	.	0	.	0	.	87	56	0	.	94	81	17	100	32	81	17	100	28	100	50	53	0	.	0	.	0	.	0	.	0	.	21	76	0	.	0	.	0	.	31	100	7	100	0	.	0	.	22	100	127	56	61	100	0	.	0	.	0	.	0	.	0	.	7	100	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	176	45	0	.	27	77	34	100	29	78	77	78	0	.	0	.	0	.	8	.	0	.	0	.	0	.	7	100	58	73	0	.	0	.	23	100	0	.	0	.	0	.	0	.	0	.	1660	14
	other human activity	0	.	0	.	0	.	0	.	0	.	22	75	17	100	12	100	0	.	60	67	0	.	0	.	0	.	0	.	0	.	0	.	111	80	0	.	0	.	96	67	18	100	0	.	20	100	17	100	0	.	8	100	0	.	0	.	52	100	0	.	19	100	8	100	0	.	35	100	25	100	0	.	36	100	0	.	8	100	7	100	17	100	14	71	0	.	0	.	0	.	0	.	0	.	0	.	92	100	6	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	100	0	.	0	.	0	.	0	.	0	.	15	100	0	.	0	.	0	.	0	.	0	.	0	.	35	100	0	.	0	.	19	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	7	100	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	817	22
	weather	0	.	0	.	0	.	0	.	0	.	25	77	104	41	0	.	0	.	35	80	0	.	0	.	0	.	0	.	30	71	0	.	0	.	27	75	0	.	35	62	36	71	7	100	0	.	127	81	44	72	25	75	42	85	30	100	155	55	0	.	0	.	0	.	0	.	8	100	0	.	52	100	54	75	0	.	0	.	0	.	0	.	36	61	0	.	8	100	0	.	0	.	0	.	0	.	57	78	0	.	0	.	0	.	0	.	7	100	17	100	51	65	61	90	88	54	0	.	44	72	16	100	50	74	15	100	18	100	0	0	9	100	35	100	105	85	0	.	0	.	58	74	0	.	0	.	34	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	100	35	71	92	44	0	0	0	.	0	.	33	100	0	.	0	.	0	.	0	.	0	.	1721	14
	lying living trees	0	.	0	.	0	.	0	.	0	.	61	76	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	100	0	.	0	.	0	.	0	.	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	37	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	.	35	100	0	.	25	100	90	100	0	.	18	100	0	.	71	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	100	87	100	35	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	527	32
	dead trees	0	.	0	.	0	.	0	.	127	69	235	52	488	28	466	41	34	.	535	36	0	.	0	.	0	.	0	.	151	72	6	.	186	44	169	67	0	.	130	65	268	43	61	76	0	.	423	38	138	65	169	67	65	60	36	100	420	36	68	100	66	51	0	.	35	71	105	61	130	55	60	79	95	62	0	.	60	66	264	55	35	100	90	56	0	.	75	62	17	100	0	.	0	.	122	51	206	47	37	83	0	.	0	.	0	.	65	100	0	.	167	70	290	77	165	43	79	56	177	52	33	71	44	84	141	57	147	100	80	81	202	84	15	100	121	65	0	.	0	.	289	46	0	.	19	100	19	100	0	.	37	71	59	75	0	.	0	.	54	.	0	.	416	42	227	44	453	44	108	63	312	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9295	8
	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	.	727	48	1483	40	2456	28	3581	20	1427	42	4373	20	0	.	0	.	1020	39	0	.	0	.	343	55	1483	38	459	52	0	.	507	46	317	54	449	47	619	44	1122	45	62	.	2469	26	590	63	1105	60	1761	32	177	60	810	38	162	71	596	45	1069	34	410	57	460	.	678	40	727	68	740	50	499	36	161	80	1562	32	348	51	156	.	484	57	257	76	84	.	1007	44	98	81	892	46	73	.	0	.	0	.	163	.	1518	77	163	68	781	51	735	47	577	58	262	57	1146	42	750	57	527	67	0	.	285	57	451	58	121	.	186	94	103	78	0	.	97	.	182	.	518	68	0	.	98	.	250	52	0	.	312	59	340	76	321	70	382	77	1181	39	748	48	1022	43	729	44	0	.	0	.	1032	43	103	.	0	.	0	.	0	.	0	.	52887	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	rockfall	0	.	0	.	0	.	0	.	0	.	0	.	79	68	8	100	0	.	525	56	0	.	0	.	38	100	0	.	0	.	0	.	0	.	0	.	0	.	320	46	0	.	34	100	35	100	156	64	0	.	38	100	0	.	0	.	0	.	0	.	7	100	0	.	85	100	127	63	193	100	0	.	307	72	0	.	0	.	583	43	7	100	0	.	0	.	7	.	215	76	0	.	0	.	46	75	0	.	0	.	0	.	0	.	0	.	0	.	72	71	46	72	0	.	53	64	236	53	0	.	48	71	0	.	104	100	0	.	77	91	0	.	0	.	55	100	0	.	0	.	7	.	0	.	0	.	0	.	7	.	0	.	0	.	0	.	0	.	0	.	0	.	53	58	17	100	292	78	0	.	0	.	0	.	52	100	0	.	0	.	0	.	0	.	0	.	3928	16
	various	0	.	0	.	0	.	0	.	22	57	0	.	162	59	93	39	33	66	120	56	0	.	0	.	0	.	0	.	0	.	8	100	63	74	7	100	0	.	49	49	17	100	13	71	26	76	102	59	0	.	105	44	24	77	44	62	147	41	14	100	34	100	0	.	7	100	0	.	105	57	0	.	56	68	0	.	7	100	31	66	28	100	228	38	0	.	0	.	0	.	17	100	0	.	67	60	7	100	0	.	0	.	0	.	0	.	0	.	8	100	185	87	0	.	81	76	26	76	40	100	8	100	113	75	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	77	0	.	0	.	27	77	0	.	0	.	6	100	25	76	52	76	91	63	0	.	0	.	54	75	0	.	0	.	0	.	0	.	0	.	2394	13
	indeterminable	0	.	0	.	0	.	0	.	67	52	243	44	431	36	376	27	96	49	722	27	0	.	0	.	107	58	0	.	0	.	123	57	149	47	84	69	0	.	110	55	128	65	260	44	294	60	156	47	28	.	445	35	113	49	40	55	353	51	116	94	205	51	0	.	72	54	80	45	61	53	66	.	196	40	48	85	209	66	276	41	25	77	328	39	77	67	34	.	232	61	34	71	33	.	125	51	14	100	177	60	38	.	0	.	0	.	60	.	450	65	98	76	115	62	183	46	246	55	100	53	220	61	433	57	35	100	0	.	125	71	114	68	17	.	69	100	0	0	0	.	35	.	50	.	72	71	0	.	0	.	94	52	0	.	23	100	47	85	0	.	59	100	182	45	297	50	364	43	63	66	0	.	0	.	199	47	36	.	0	.	0	.	0	.	0	.	10559	7
	wood harvest	0	.	0	.	0	.	0	.	65	81	0	.	0	.	213	49	154	42	318	45	0	.	0	.	31	100	0	.	0	.	9	100	25	77	7	100	0	.	65	60	29	100	33	71	7	100	18	100	0	.	28	71	0	.	79	66	100	82	27	100	35	100	8	100	7	100	38	61	0	.	0	.	91	81	21	100	48	73	6	100	0	.	44	100	35	66	0	.	134	68	17	100	0	.	21	100	14	100	13	71	24	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	22	100	0	.	0	.	0	.	0	.	0	.	72	100	0	.	0	.	0	.	0	.	0	.	0	.	14	70	0	.	25	75	0	.	0	.	0	.	0	.	0	.	33	100	114	87	0	.	0	.	61	71	0	.	0	.	0	.	0	.	0	.	2103	14
	other human activity	0	.	0	.	0	.	0	.	15	100	39	100	26	76	166	68	0	.	109	72	0	.	0	.	19	100	0	.	0	.	0	.	39	81	0	.	0	.	0	.	0	.	7	100	0	.	84	56	0	.	28	61	0	.	25	100	8	100	0	.	32	71	0	.	17	100	25	100	44	100	0	.	0	.	17	100	0	0	19	100	14	100	156	56	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	8	100	14	100	20	100	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	41	100	0	.	0	.	0	.	7	100	28	73	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1033	19
	weather	0	.	0	.	0	.	0	.	0	.	15	100	79	73	40	100	0	.	152	46	0	.	0	.	48	63	0	.	0	.	20	100	0	0	7	100	0	.	47	65	35	100	58	78	127	66	26	77	0	.	48	74	0	.	29	79	101	66	0	.	0	.	0	.	17	100	0	.	0	.	0	.	35	70	23	77	15	100	53	75	21	74	63	55	0	.	17	.	21	100	0	.	43	.	13	71	0	0	57	78	0	.	0	.	0	.	0	.	28	100	0	0	22	100	25	100	8	100	278	97	18	100	151	78	0	.	0	.	18	100	0	.	17	.	0	0	0	.	0	.	31	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	100	22	100	11	100	0	.	0	.	13	100	0	.	0	.	0	.	0	.	0	.	1870	19
	lying living trees	0	.	0	.	0	.	0	.	0	.	0	.	23	74	59	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	0	.	0	.	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	100	0	.	0	.	15	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	106	100	20	100	0	.	18	100	0	.	44	100	16	100	0	.	0	.	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	382	35
	dead trees	0	.	0	.	0	.	0	.	110	73	152	60	735	36	347	30	96	49	639	28	0	.	0	.	202	58	0	.	0	.	122	74	158	45	27	79	0	.	262	46	26	100	135	49	186	48	282	43	0	.	231	34	92	76	96	83	482	41	51	74	88	65	0	.	17	100	229	44	64	72	44	.	237	64	8	100	200	84	384	38	93	100	158	52	24	77	7	.	163	68	33	100	51	.	117	60	7	100	320	61	0	.	0	.	0	.	53	.	334	80	105	78	77	60	62	67	194	57	253	57	281	58	410	63	86	67	0	.	194	71	79	65	0	.	33	71	0	.	0	.	55	.	33	.	33	64	0	.	7	.	31	64	0	.	17	100	8	100	63	100	30	74	276	59	249	47	240	47	147	47	0	.	0	.	85	53	0	.	0	.	0	.	0	.	0	.	10111	8
	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	309	61	103	69	133	78	927	39	0	.	609	41	1224	31	3565	22	5301	19	945	41	38	.	337	57	566	48	0	.	294	72	700	42	506	71	1064	48	0	.	198	63	627	43	913	36	419	70	542	48	108	.	2600	22	1260	37	3394	23	370	72	449	53	0	.	1227	47	208	80	0	.	705	58	0	.	82	71	1539	31	787	73	687	56	503	62	431	43	827	36	779	61	364	59	958	50	1889	31	672	55	0	.	214	71	1148	35	27	.	572	48	44	.	0	.	115	.	441	69	961	57	1322	38	360	79	207	71	613	45	151	.	18	.	31	.	190	62	264	73	0	.	931	46	7	.	567	58	361	60	744	65	0	.	341	69	236	59	1274	52	114	74	248	49	0	.	707	64	604	82	337	56	254	55	206	71	698	39	760	48	1284	34	958	45	270	79	0	.	373	50	0	.	57111	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	.	275	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	44	100	0	.	0	.	105	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	.	424	69
	rockfall	0	.	0	.	0	.	0	.	0	.	0	.	128	73	35	83	18	100	184	60	0	.	0	.	147	100	0	.	0	.	0	.	60	100	0	.	0	.	40	71	6	100	141	74	0	.	71	81	0	.	95	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	307	76	0	.	0	.	0	.	29	100	111	100	0	.	0	.	0	.	0	.	0	.	175	71	49	100	0	.	0	.	29	100	0	.	0	.	0	.	22	.	7	.	0	.	40	100	91	71	20	100	63	75	0	.	77	57	0	.	67	.	62	.	0	.	90	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	42	72	105	82	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2310	18
	various	17	100	0	.	17	100	0	0	0	.	212	60	85	62	69	48	91	52	52	88	0	.	7	100	0	0	0	.	93	93	142	83	0	.	107	66	0	.	0	0	71	49	62	47	20	100	116	63	18	.	115	57	80	63	41	53	139	79	7	100	0	.	0	.	0	.	0	.	351	74	0	.	0	.	158	56	31	60	0	0	0	.	117	72	21	74	17	100	0	0	0	.	95	53	53	75	0	.	21	74	132	46	7	.	0	.	0	.	0	.	0	.	226	71	67	58	324	70	0	.	20	100	485	85	0	.	0	.	0	.	15	100	0	.	0	.	68	100	0	.	7	100	0	.	0	.	0	.	0	.	17	100	53	100	7	100	14	100	0	.	81	65	0	.	17	100	59	100	24	76	14	71	7	100	116	65	13	100	0	.	0	.	0	.	0	.	4200	16
	indeterminable	25	76	7	100	33	71	71	54	0	.	225	55	207	38	437	28	773	32	146	53	0	.	104	70	31	81	0	.	52	74	53	88	40	71	90	66	0	.	34	71	168	53	268	45	134	72	135	55	22	.	485	34	149	42	500	30	148	66	31	71	0	.	100	53	0	.	0	.	181	55	0	.	50	100	196	35	266	55	108	74	59	78	110	52	184	42	31	64	93	56	48	75	476	31	232	62	0	.	21	74	306	54	36	.	49	74	0	.	40	.	18	.	544	55	263	54	534	35	20	100	175	70	301	52	15	.	0	.	37	.	101	59	99	75	0	.	85	77	0	.	150	72	225	66	85	72	0	.	0	.	39	69	31	64	14	71	44	53	0	.	20	58	123	87	59	89	118	58	17	100	225	45	43	71	210	46	154	46	39	62	0	.	61	54	0	.	10803	7
	wood harvest	8	100	0	.	17	100	54	77	0	.	18	100	108	77	318	30	354	27	38	61	14	.	31	64	31	100	0	.	56	100	0	.	0	.	21	58	0	.	17	73	33	100	0	.	0	.	0	.	0	.	150	41	76	81	200	50	0	.	0	.	0	.	56	57	0	.	0	.	50	100	0	.	0	.	39	61	25	100	0	.	0	.	13	100	73	71	30	71	0	.	20	100	98	67	6	100	0	.	0	.	138	62	0	.	82	66	0	.	0	.	90	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	57	89	0	.	14	100	0	.	0	.	0	.	61	71	43	100	68	66	17	100	61	100	0	.	0	.	0	.	0	.	0	.	0	.	40	100	13	71	107	48	61	58	7	100	0	.	24	77	0	.	2836	11
	other human activity	0	.	0	.	14	100	0	.	0	.	18	100	23	75	39	64	43	100	0	.	0	.	0	.	26	100	0	.	0	.	66	100	0	.	0	.	0	.	0	.	0	.	14	71	0	.	20	100	0	.	50	87	7	100	104	82	0	.	0	.	0	.	17	100	0	.	0	.	0	.	0	.	23	100	27	75	0	.	0	.	0	.	8	100	0	.	0	.	14	100	0	.	40	64	0	.	0	.	0	.	0	.	0	.	17	100	0	.	0	.	0	.	0	.	0	0	8	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	100	0	.	7	100	0	.	7	100	0	.	0	.	0	.	0	.	37	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	674	22
	weather	0	.	0	.	0	.	37	61	0	.	53	74	15	100	23	73	90	54	7	100	0	.	0	.	43	72	0	.	7	100	20	75	0	.	8	100	0	.	0	.	0	.	38	83	0	.	0	.	0	.	49	63	7	100	7	100	0	.	26	78	0	.	14	70	0	.	0	.	36	100	0	.	0	.	66	61	18	100	15	100	0	.	0	.	0	.	7	100	24	77	24	77	69	50	18	100	0	.	0	.	41	72	0	.	7	100	0	.	22	.	0	.	382	77	165	56	112	74	0	.	0	.	94	83	0	.	0	.	0	.	15	100	15	100	0	.	0	.	0	.	14	100	0	.	7	100	0	.	0	.	0	.	0	.	0	.	7	100	0	.	7	100	18	100	0	.	25	76	0	.	38	61	0	.	109	64	0	.	0	.	0	.	17	100	0	.	1812	20
	lying living trees	0	.	17	100	0	.	17	100	0	.	25	100	0	.	18	100	0	.	0	.	0	.	35	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	100	0	.	0	.	21	100	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	0	.	16	100	62	57	20	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	100	0	.	18	100	0	.	0	.	0	.	17	100	0	.	0	.	0	.	0	.	0	.	330	25
	dead trees	78	63	0	.	0	.	144	41	0	.	269	50	201	38	329	32	420	36	146	59	17	.	14	100	86	60	0	.	55	73	68	50	0	.	101	52	0	.	162	55	151	56	120	48	142	74	404	52	0	.	975	27	284	64	328	37	70	71	150	54	0	.	93	61	0	.	0	.	96	73	0	.	12	100	85	49	196	68	137	63	61	76	96	83	91	65	24	77	211	63	198	63	313	37	149	77	0	.	32	81	134	56	0	.	7	100	0	.	14	.	0	.	384	66	326	55	512	42	69	100	56	70	552	53	0	.	0	.	0	.	118	71	101	76	0	.	211	62	0	.	157	77	33	70	41	61	0	.	8	100	17	100	114	78	0	.	60	72	0	.	56	76	122	65	198	64	157	59	7	100	80	58	79	66	337	46	34	71	20	100	0	.	13	100	0	.	10522	8
	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	2747	23	2187	24	1491	30	1832	25	0	.	0	.	179	100	679	46	7637	14	45	.	1015	41	1334	40	764	35	80	.	123	71	354	56	0	.	916	41	541	49	0	.	0	.	35	.	0	.	909	72	0	.	2726	20	1108	31	960	44	0	.	42	71	0	.	0	.	0	.	0	.	0	.	0	.	458	75	374	52	189	59	180	60	605	57	83	.	2367	26	891	38	55	64	957	45	351	62	117	71	0	.	100	77	1068	37	2059	28	1587	28	0	.	587	50	80	.	268	75	305	48	2590	30	383	59	625	52	804	48	554	71	77	.	148	.	174	72	474	81	0	.	237	.	772	46	101	.	153	65	0	.	0	.	846	52	252	61	110	.	707	49	128	71	0	.	0	.	300	74	0	.	989	41	17	.	416	45	872	33	570	52	1758	32	1053	35	1169	38	1124	31	0	.	57786	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	.	126	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	126	100
	rockfall	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	191	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	.	18	100	373	82	0	.	94	100	0	.	0	.	0	.	0	.	22	100	0	.	0	.	0	.	0	.	0	.	0	.	65	59	8	.	0	.	19	100	278	54	36	100	20	100	53	78	0	.	0	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	.	30	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1247	33
	various	163	51	136	53	17	100	0	0	0	.	0	.	0	.	24	100	171	32	0	.	62	68	34	61	7	100	0	.	25	100	52	100	0	.	44	54	25	100	0	.	0	.	0	.	0	.	96	100	0	.	209	53	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	85	93	0	0	0	.	0	.	0	.	69	50	0	.	0	.	8	100	29	72	22	100	0	.	0	.	42	60	31	62	154	43	0	.	6	100	20	.	38	71	7	100	185	70	86	64	34	80	358	64	7	100	0	.	15	.	0	0	74	72	0	.	37	.	32	62	0	.	30	100	0	.	0	.	25	100	76	100	0	.	34	100	17	100	0	.	0	.	32	100	0	.	80	72	13	.	41	71	30	64	52	100	127	68	24	77	14	71	8	100	0	.	3015	13
	indeterminable	431	25	514	28	216	59	271	40	0	.	0	.	20	100	118	50	566	19	17	.	311	39	93	42	212	41	17	.	92	73	116	59	0	.	84	56	44	71	0	.	0	.	0	.	0	.	72	72	0	.	458	24	201	49	24	77	0	.	31	100	0	.	0	.	0	.	0	.	0	.	0	.	52	100	154	70	150	65	34	73	91	65	52	.	351	35	73	41	14	71	78	65	174	65	0	.	0	.	0	.	194	37	253	37	355	33	0	.	382	76	124	.	99	71	335	48	805	30	275	58	215	48	721	43	39	71	45	.	18	.	145	88	8	100	0	.	17	.	73	49	17	.	30	81	0	.	0	.	93	67	48	87	66	.	57	59	0	.	0	.	0	.	56	71	0	.	147	59	36	.	85	49	133	42	50	55	294	29	135	51	208	46	188	34	0	.	10879	7
	wood harvest	181	48	56	58	77	66	73	41	0	.	0	.	0	.	0	.	817	24	0	.	40	67	17	100	52	58	0	.	0	.	48	77	0	.	37	61	7	100	0	.	0	.	0	.	0	.	0	.	0	.	143	36	67	61	42	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	52	100	0	.	0	.	0	.	37	82	17	.	129	47	40	57	0	.	36	71	49	100	0	.	0	.	14	100	92	61	75	69	55	88	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	100	0	.	0	.	18	100	0	.	0	.	0	.	0	.	0	.	9	100	0	.	0	.	0	.	0	.	0	.	20	100	7	100	0	.	0	.	0	.	0	.	18	100	0	.	14	100	83	63	0	.	140	65	113	64	113	50	238	45	0	.	3034	11
	other human activity	134	39	17	100	7	100	23	77	0	.	0	.	0	.	0	.	131	49	0	.	9	100	0	.	0	.	0	.	0	.	33	100	0	.	24	76	15	100	0	.	0	.	0	.	0	.	0	.	0	.	54	58	25	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	21	100	0	.	0	.	66	78	0	.	0	.	34	100	0	.	0	.	7	100	183	87	0	.	7	100	0	.	27	80	48	.	0	.	0	.	41	79	0	0	0	.	77	64	0	.	16	.	0	.	0	0	0	.	0	.	23	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	75	100	0	.	17	100	0	0	0	.	0	.	0	.	0	.	0	.	0	.	1120	20
	weather	35	72	0	0	7	100	113	53	0	.	0	.	0	.	17	100	44	49	17	.	35	100	83	53	91	48	0	.	43	100	0	.	0	.	7	100	0	.	0	.	0	.	0	.	0	.	56	100	0	.	76	56	17	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	100	0	.	0	.	63	75	0	.	48	54	7	100	17	100	35	100	0	.	0	.	0	.	7	100	71	55	34	71	34	82	0	.	0	0	20	.	36	100	26	78	155	53	7	100	55	73	74	52	0	.	0	.	18	.	44	72	0	.	0	.	0	.	17	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	83	66	0	.	0	.	0	.	17	100	0	.	18	100	0	.	7	100	17	100	24	100	24	77	17	100	20	100	41	85	0	.	1695	12
	lying living trees	31	64	34	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	78	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	100	0	.	0	.	0	.	41	72	0	.	17	100	17	100	19	100	0	.	0	.	7	100	19	100	17	100	0	.	0	.	0	.	0	.	90	100	51	100	77	60	0	.	40	100	66	89	0	.	0	.	0	.	0	.	15	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	100	0	.	0	.	10	100	0	.	17	100	0	.	0	.	0	.	0	.	627	24
	dead trees	405	35	248	38	40	85	212	33	0	.	0	.	30	77	24	76	533	25	0	.	288	44	162	45	229	55	0	.	120	87	147	85	0	.	34	100	150	49	0	.	0	.	0	.	0	.	120	62	0	.	735	36	86	44	47	58	0	.	49	100	0	.	0	.	0	.	0	.	0	.	0	.	35	70	105	63	83	72	68	80	125	71	17	.	352	35	0	.	59	100	122	69	88	66	44	100	0	.	36	100	85	56	189	59	165	75	0	.	93	60	32	.	192	73	467	53	1498	31	173	55	314	57	446	40	64	77	0	.	18	.	107	72	40	71	0	.	30	.	86	72	0	.	7	100	0	.	0	.	110	62	59	66	52	.	206	59	17	100	0	.	0	.	139	88	0	.	293	45	0	.	92	53	128	34	67	100	232	60	98	46	109	55	68	50	0	.	10471	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	3056	21	2290	23	1624	28	2758	21	1616	30	2644	26	17887	10	11007	11	14434	11	8685	13	1053	40	1671	34	2350	23	80	.	886	37	3387	23	5094	21	3571	22	541	49	2910	22	7054	15	4909	18	7181	15	15381	11	14543	10	8736	12	3921	20	5608	20	6074	18	1249	32	2441	23	1715	37	1442	31	2452	24	2773	34	3277	29	3900	22	2640	27	2743	30	4271	21	2269	27	3747	19	3543	20	2904	27	1508	30	2172	31	2325	27	3174	22	2688	24	2075	26	2290	25	2085	27	2159	24	1959	32	5355	27	2384	21	3814	23	3111	26	5641	19	6877	16	4043	22	4265	20	2585	29	1433	34	2528	27	2511	24	2252	26	3452	30	1595	33	779	45	3361	25	696	43	1473	41	2833	21	2163	27	2131	26	2337	33	1394	33	716	42	472	57	1090	49	13011	12	10160	14	10737	12	1204	31	1156	29	1632	28	3007	23	2818	26	1323	32	1169	38	1497	26	0	.	343756	2
	fire	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	100	275	100	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	65	100	177	76	33	100	0	.	105	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	.	669	49
	rockfall	7	100	0	.	0	.	0	.	94	77	18	100	1553	24	326	41	18	100	820	39	0	.	7	100	377	65	0	.	0	.	18	100	313	63	0	.	0	.	717	33	295	48	225	51	663	40	1068	25	436	29	134	50	129	100	0	.	0	0	0	.	7	100	0	.	85	100	127	63	766	45	41	86	876	37	0	.	36	82	1201	28	395	77	85	79	94	100	144	72	267	63	175	71	49	100	406	63	61	64	29	100	0	.	0	.	0	.	250	35	499	35	213	52	223	35	458	34	703	33	526	34	131	52	222	33	588	47	84	82	172	56	228	76	203	43	313	47	0	.	0	.	56	50	0	.	16	100	21	100	7	100	0	.	46	100	0	.	0	.	0	.	0	.	686	29	455	27	1086	30	0	.	0	.	0	.	52	100	0	.	0	.	0	.	0	.	0	.	19297	6
	various	180	47	136	53	34	71	0	0	108	40	334	47	895	23	288	25	295	25	325	30	62	68	41	54	7	100	0	.	124	73	262	52	300	42	190	41	25	100	251	36	321	28	213	32	317	35	934	21	722	24	491	29	129	44	86	41	435	36	21	75	137	50	0	.	42	70	62	56	468	57	41	62	255	53	244	49	130	56	263	32	97	55	466	28	90	42	69	79	17	100	24	76	123	44	248	30	211	63	41	52	174	37	38	54	154	43	79	50	356	47	337	51	386	45	206	38	654	41	448	29	226	43	1249	39	107	49	368	51	127	59	85	43	202	37	61	56	120	66	32	62	198	51	30	100	0	.	125	48	85	46	160	54	60	90	41	85	58	52	0	.	81	65	578	40	541	23	785	37	153	43	54	56	37	55	241	42	141	62	24	77	14	71	8	100	0	.	19374	5
	indeterminable	456	24	521	28	249	52	342	33	299	41	610	29	5645	10	1553	15	1441	19	1368	18	311	39	198	42	350	31	17	.	222	41	888	35	984	27	577	27	44	71	1302	23	2501	15	1753	20	2753	16	4446	11	5022	13	1559	17	688	24	586	26	1514	21	283	47	390	31	127	45	175	36	250	32	485	29	630	31	1086	24	398	33	772	30	982	22	388	29	1025	21	611	25	347	33	364	42	160	41	684	28	793	26	545	28	328	37	539	34	290	34	403	30	606	32	1753	27	957	24	1491	25	1188	25	1858	18	1589	19	950	25	1951	23	418	37	423	39	757	26	728	28	468	27	487	32	185	45	73	49	624	26	305	52	172	46	420	29	225	37	448	27	223	40	164	49	91	51	0	.	79	76	3350	14	2887	15	3294	13	185	37	328	34	177	36	466	29	485	24	174	42	208	46	249	29	0	.	80692	2
	wood harvest	188	46	56	58	95	57	127	40	80	68	31	65	287	41	680	22	1325	17	590	29	54	56	48	54	114	46	0	.	70	82	72	57	128	50	66	41	7	100	292	35	113	45	105	43	61	62	162	38	70	48	320	25	230	38	321	36	258	47	44	73	66	65	81	45	35	83	108	38	50	100	0	.	143	63	60	53	73	59	49	56	44	71	81	61	236	35	102	44	141	65	73	50	146	56	55	57	202	47	88	71	254	41	75	69	138	53	18	100	14	70	97	93	0	.	0	0	0	.	0	.	0	.	15	100	29	79	37	100	0	0	50	55	0	.	0	.	129	68	0	.	190	42	9	100	27	77	79	52	120	48	134	55	68	66	62	52	67	91	8	100	0	.	43	85	60	48	80	51	172	63	54	79	97	55	191	37	201	49	119	60	113	50	261	42	0	.	10834	5
	other human activity	134	39	17	100	20	75	23	77	24	73	104	50	411	26	236	50	174	45	183	48	9	100	0	.	45	72	0	.	0	.	100	74	326	46	24	76	15	100	190	57	158	44	96	57	176	42	235	32	219	37	140	40	32	62	129	69	66	80	0	.	52	58	25	76	17	100	83	55	126	60	17	100	59	72	44	60	16	70	26	77	81	45	243	43	0	.	66	78	14	100	0	.	74	57	0	.	92	100	39	53	183	87	0	.	23	76	25	76	51	63	95	66	0	.	33	80	56	60	32	71	20	100	95	55	89	83	37	61	0	.	7	100	7	100	85	91	77	59	0	.	35	100	0	.	0	.	65	51	0	.	0	.	24	100	0	.	7	100	41	100	7	100	370	39	253	49	685	74	28	73	54	58	0	0	7	100	0	.	0	.	0	.	0	.	0	.	6852	10
	weather	35	72	0	0	7	100	150	43	0	.	93	50	724	19	122	46	134	40	210	37	35	100	83	53	182	34	0	.	80	60	58	53	115	47	85	46	0	.	159	32	163	42	152	40	330	31	982	21	511	23	197	33	65	61	65	59	355	33	26	78	83	100	14	70	17	100	8	100	51	76	82	68	103	48	106	44	33	71	165	39	113	51	106	39	48	54	63	51	62	53	58	67	112	49	78	54	57	78	64	70	111	43	34	71	42	70	136	47	213	38	168	50	745	48	321	34	275	42	641	44	164	35	513	31	41	73	123	74	136	60	86	47	84	53	112	79	0	.	17	100	110	50	0	.	7	100	107	57	66	80	25	75	7	100	83	66	7	100	0	.	7	100	482	21	386	28	712	29	11	100	45	54	17	100	180	45	24	77	17	100	20	100	58	67	0	.	12875	6
	lying living trees	31	64	51	58	0	.	17	100	6	100	86	61	137	39	77	63	0	.	0	.	0	.	35	100	0	.	0	.	15	100	0	.	0	.	0	.	0	.	163	51	199	75	35	100	52	74	110	41	306	31	25	78	0	.	0	.	55	75	0	.	0	.	0	.	0	.	0	.	18	100	0	.	92	82	21	100	21	74	67	62	0	.	22	100	41	72	0	.	17	100	17	100	19	100	58	100	0	.	14	71	19	100	17	100	0	.	34	71	122	88	63	52	149	66	131	49	122	46	252	46	101	53	85	73	0	.	194	73	53	74	0	.	33	71	22	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	148	34	213	48	334	42	0	.	0	.	10	100	17	100	17	100	0	.	0	.	0	.	0	.	3943	11
	dead trees	483	31	248	38	40	85	356	25	317	40	736	28	5142	13	1584	19	1084	19	1441	20	305	42	176	42	517	35	0	.	379	43	771	33	938	29	567	37	150	49	1468	28	1500	19	778	24	2023	20	4322	13	3622	17	2110	19	652	33	508	30	2057	23	318	38	173	40	93	61	52	58	359	34	428	34	417	31	918	37	198	39	583	39	1290	20	554	35	732	28	467	30	153	45	450	41	353	44	452	31	592	28	782	43	648	37	219	40	189	59	171	72	500	34	862	34	678	28	1092	34	1036	30	2283	22	1342	20	815	31	1700	26	395	32	399	53	686	33	621	35	524	32	737	32	311	47	86	72	650	32	73	56	100	38	194	43	308	48	282	30	373	43	223	55	85	55	117	71	87	55	3313	14	2531	18	3903	16	293	35	484	66	207	33	489	36	266	53	118	42	109	55	81	45	0	.	73219	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. 2277822. Birmensdorf, Swiss Federal Research Institute WSL
https://doi.org/10.21258/1789414

back