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
slope (in 20% classes) · type of damage to trees (13 classes)
regional demarcation: forest district (2024)
unit: n
evaluation area: accessible forest without shrub forest
grid: 1.4-km grid
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
slope (in 20% classes)	type of damage to trees (13 classes)	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	n	±%	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	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	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	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.
	exposed wood core	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.
	crack, woundwood rib	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.
	stem breakage	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.
	defoliation >50%	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.
	canker	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.
	bark necrosis	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.
	resinosis	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.
	inclusion	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.
	stag-headedness	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	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 type of 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	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	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	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	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	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	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	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
to 20%	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	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	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	1998200.6	29	1578814.9	25	2206865.4	21	2292809.5	23	180535.1	73	406319.5	55	1626650.1	29	2698401.3	19	8073787.1	11	1561932.5	24	281145.8	41	554756.1	32	396621.3	46	37668.5	.	735987.6	32	1298743.5	30	1112810.6	35	2827684.9	22	572003.3	39	158008.1	72	374975.1	43	837546.0	35	411481.3	50	556804.1	39	953536.7	34	2381676.5	18	1568270.1	29	2069512.7	24	659595.7	45	513459.8	50	680142.1	35	261050.8	47	372702.3	50	1534230.6	33	98210.3	76	657566.2	44	652554.3	57	1722811.0	24	466784.8	53	71258.0	72	472359.3	47	532993.4	34	1560285.8	24	1286864.9	26	237636.3	44	566287.9	32	278714.2	61	402782.7	52	347918.8	58	548006.2	45	1628494.7	28	1947990.7	24	2866257.5	22	121225.5	64	101668.5	63	207417.4	81	157957.1	63	168382.7	86	19090.9	71	275454.7	63	49255.9	.	223536.0	51	0.0	.	315873.6	60	0.0	.	299959.9	73	303470.3	80	125201.8	79	870937.0	38	523841.3	44	1638858.4	35	857971.4	30	728938.9	42	2393865.5	19	1216912.9	29	1090505.7	36	1348170.9	26	733634.4	43	797300.7	31	143274.0	73	1045262.2	32	786583.5	48	312734.7	52	500953.5	50	619972.8	39	528607.8	31	1329055.0	24	945700.2	32	1252401.5	24	1228850.7	26	743716.4	29	1188119.8	28	0.0	.	85315169.8	3
	exposed wood core	151461.1	29	143036.2	34	164737.9	31	215848.3	45	4165.2	100	4165.2	100	115481.8	48	279492.6	26	873847.9	14	301779.6	44	35685.9	51	127716.6	39	57303.3	53	0.0	.	150161.0	36	72078.9	57	48436.2	54	277696.9	28	50459.7	63	0.0	.	9557.4	100	93368.5	68	86016.8	81	61382.5	54	154257.5	56	492889.1	24	166301.4	33	175454.3	34	20891.6	71	24537.6	85	36555.7	70	21021.8	68	45331.2	55	136224.6	33	14578.1	100	46267.5	60	0.0	.	134787.2	38	17843.9	59	0.0	.	101816.9	67	92471.6	57	132117.6	30	118834.4	33	47420.8	54	50724.3	57	31793.8	100	23214.5	100	0.0	.	3541.2	100	89062.6	42	122530.8	33	141243.2	38	37099.4	82	20644.9	71	19088.0	100	30421.4	73	15111.3	100	19088.0	100	28140.5	100	3940.5	.	50833.8	60	0.0	.	63274.9	71	0.0	.	54520.3	83	3736.7	100	20957.3	100	117733.8	43	25234.7	53	194501.0	37	60173.9	47	45055.3	45	196097.4	29	159581.8	45	218673.4	53	155532.0	36	30768.4	65	87285.2	46	52785.0	93	54772.7	54	34916.2	89	16186.4	61	71058.1	60	63290.6	50	67022.6	45	148482.9	31	114525.4	36	61574.2	38	134417.1	37	101656.2	39	90757.6	37	0.0	.	8434531.8	5
	crack, woundwood rib	0.0	.	0.0	.	3874.6	100	19373.0	100	0.0	.	0.0	.	4224.9	100	4165.2	100	12903.5	76	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	10171.6	100	12396.4	100	18893.8	62	0.0	.	0.0	.	0.0	.	10022.1	100	0.0	.	0.0	.	20831.9	71	3740.4	100	0.0	.	33691.2	76	0.0	.	0.0	.	0.0	.	0.0	.	11582.9	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	4008.8	100	19494.4	100	0.0	.	0.0	.	0.0	.	0.0	.	3874.6	100	0.0	.	0.0	.	0.0	.	11597.8	100	0.0	.	0.0	.	4015.9	100	0.0	.	20644.9	71	0.0	.	11333.5	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	.	3883.5	100	0.0	.	0.0	.	9913.1	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	.	3874.6	100	20079.5	100	0.0	.	9686.5	100	9686.5	100	0.0	.	297965.2	20
	stem breakage	19263.9	71	8156.0	71	4015.9	100	31108.2	56	0.0	.	0.0	.	10009.9	100	24709.9	61	59602.7	36	3965.2	100	28615.0	74	41818.6	62	0.0	.	0.0	.	8853.1	100	8887.6	100	0.0	.	20452.7	71	0.0	.	0.0	.	0.0	.	0.0	.	47787.1	72	0.0	.	19855.3	71	37152.9	47	4165.2	100	6866.0	100	10478.7	100	10636.8	100	10636.8	100	0.0	.	0.0	.	20549.9	71	0.0	.	8853.1	100	0.0	.	10039.8	100	0.0	.	0.0	.	8512.0	100	20452.7	71	0.0	.	0.0	.	24903.6	72	9912.8	100	9351.1	100	0.0	.	0.0	.	0.0	.	0.0	.	10039.8	100	9686.5	100	0.0	.	0.0	.	0.0	.	39517.2	77	0.0	.	0.0	.	0.0	.	0.0	.	19702.3	100	0.0	.	0.0	.	0.0	.	9557.4	100	0.0	.	0.0	.	11818.8	100	0.0	.	0.0	.	10703.4	100	0.0	.	0.0	.	0.0	.	0.0	.	12762.2	76	9686.5	100	0.0	.	9913.1	100	4015.9	100	0.0	.	0.0	.	0.0	.	0.0	.	3874.6	100	0.0	.	0.0	.	18574.1	71	19373.0	71	10039.8	100	0.0	.	0.0	.	728877.1	13
	defoliation >50%	18702.2	100	11835.9	100	4015.9	100	0.0	.	0.0	.	0.0	.	0.0	.	3541.2	100	14258.4	79	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	15763.0	78	10412.9	100	0.0	.	0.0	.	28672.3	100	10297.9	100	0.0	.	34813.6	71	0.0	.	0.0	.	9899.4	100	0.0	.	0.0	.	0.0	.	10636.8	100	0.0	.	10636.8	100	9913.1	100	0.0	.	10478.7	100	0.0	.	60238.5	100	4165.2	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	70392.4	100	0.0	.	0.0	.	19818.8	71	0.0	.	20079.5	100	0.0	.	9851.2	100	0.0	.	0.0	.	21587.5	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	.	21273.7	100	0.0	.	26697.4	73	3965.2	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	24618.3	85	0.0	.	0.0	.	0.0	.	0.0	.	3874.6	100	0.0	.	0.0	.	17775.1	100	38746.1	100	0.0	.	0.0	.	546961.8	23
	canker	13091.6	77	29059.6	100	33640.6	52	0.0	.	0.0	.	8330.3	71	4191.5	100	4165.2	100	68627.4	44	70604.3	60	0.0	.	17056.7	63	21265.0	71	0.0	.	11597.8	100	14591.5	76	0.0	.	33075.5	67	0.0	.	3736.7	100	0.0	.	18999.6	82	0.0	.	3940.5	100	41191.7	100	64366.9	51	0.0	.	11906.4	75	4256.0	100	3965.1	100	0.0	.	0.0	.	0.0	.	35006.7	57	0.0	.	0.0	.	0.0	.	14719.3	78	0.0	.	0.0	.	0.0	.	25056.8	61	0.0	.	46669.1	45	4015.9	100	0.0	.	9351.1	100	4071.8	100	0.0	.	22237.8	71	19726.3	71	0.0	.	9686.5	100	3940.5	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	.	15626.7	100	0.0	.	0.0	.	0.0	.	8220.0	71	12334.4	75	0.0	.	3965.2	100	0.0	.	0.0	.	0.0	.	8603.6	100	8887.6	100	0.0	.	9686.5	100	0.0	.	10297.9	100	0.0	.	4015.9	100	0.0	.	3555.0	100	27404.8	74	4015.9	100	0.0	.	8031.8	71	0.0	.	0.0	.	800787.0	13
	bark necrosis	0.0	.	0.0	.	3874.6	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	22442.7	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	.	0.0	.	0.0	.	0.0	.	0.0	.	4321.5	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	.	10478.7	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	9686.5	100	0.0	.	50804.1	54
	resinosis	0.0	.	85798.7	38	144107.8	29	67572.6	47	17176.0	80	0.0	.	76169.0	52	138489.8	38	528955.6	22	55033.1	47	27194.1	74	9351.1	100	0.0	.	0.0	.	75871.7	51	50489.6	61	35454.2	52	119936.0	56	0.0	.	11592.6	74	35334.3	60	13676.6	76	0.0	.	97542.6	51	10009.9	100	186059.8	36	31778.6	56	134326.1	36	0.0	.	0.0	.	58798.7	72	21021.8	61	0.0	.	49285.0	50	0.0	.	64523.9	54	0.0	.	109085.1	41	0.0	.	4008.8	100	0.0	.	8995.2	71	71742.5	69	21761.5	55	42935.4	53	47911.1	55	0.0	.	4071.8	100	0.0	.	17546.0	74	75326.2	38	75411.6	46	82634.8	39	11821.4	100	0.0	.	19358.5	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	10297.9	100	0.0	.	8369.2	100	15626.7	100	0.0	.	9686.5	100	3874.6	100	17393.8	60	37788.6	55	10636.8	100	100308.9	33	53218.2	70	26590.3	54	82994.1	38	17207.3	100	12903.5	76	3965.2	100	31778.6	61	33976.2	72	8007.9	71	4119.2	100	9686.5	100	33566.6	53	69161.9	46	7749.2	100	67167.8	48	39028.7	50	36143.1	66	74394.7	49	0.0	.	3563800.8	7
	inclusion	3740.4	100	0.0	.	4015.9	100	0.0	.	0.0	.	0.0	.	33493.7	59	0.0	.	3874.6	100	20824.0	66	0.0	.	0.0	.	5665.4	100	3965.1	.	5376.1	100	0.0	.	11597.8	100	3874.6	100	7749.2	100	0.0	.	4174.4	100	14033.1	100	0.0	.	0.0	.	0.0	.	31047.1	59	0.0	.	0.0	.	0.0	.	13653.5	78	9913.1	100	0.0	.	11582.9	100	46046.1	70	0.0	.	3541.2	100	0.0	.	14573.2	77	0.0	.	0.0	.	34821.7	100	4803.7	100	0.0	.	0.0	.	3874.6	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	3817.6	100	0.0	.	6452.8	100	0.0	.	0.0	.	0.0	.	14070.3	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	4184.6	100	0.0	.	0.0	.	24095.4	100	0.0	.	9913.1	100	0.0	.	0.0	.	10636.8	100	33301.7	71	17736.8	60	0.0	.	0.0	.	10039.8	100	0.0	.	0.0	.	0.0	.	10009.9	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	8887.6	100	0.0	.	14055.7	77	0.0	.	0.0	.	463443.5	17
	stag-headedness	19263.9	71	12844.1	57	13561.1	77	10039.8	100	0.0	.	0.0	.	0.0	.	46391.3	79	28967.1	58	0.0	.	0.0	.	10996.4	100	0.0	.	0.0	.	26556.4	88	0.0	.	0.0	.	20191.8	67	3874.6	100	0.0	.	9557.4	100	0.0	.	0.0	.	9557.4	100	0.0	.	47878.9	52	0.0	.	0.0	.	10478.7	100	0.0	.	0.0	.	0.0	.	0.0	.	10636.8	100	0.0	.	25148.8	61	33431.8	100	50198.8	100	0.0	.	0.0	.	0.0	.	0.0	.	18702.2	100	0.0	.	0.0	.	0.0	.	13091.6	77	21663.3	71	9923.8	100	0.0	.	20191.3	71	0.0	.	9686.5	100	0.0	.	9851.2	100	6452.8	100	43544.4	81	15111.3	77	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	20019.7	100	0.0	.	0.0	.	0.0	.	0.0	.	9686.5	100	28478.5	73	21665.9	71	8720.6	71	28053.4	100	9913.1	100	19826.2	100	0.0	.	19726.3	71	8887.6	100	0.0	.	0.0	.	0.0	.	34716.7	67	0.0	.	0.0	.	0.0	.	0.0	.	10039.8	100	10039.8	100	0.0	.	0.0	.	9686.5	100	0.0	.	0.0	.	797253.9	15
	other type of damage	35766.4	90	17775.1	100	7429.6	71	0.0	.	3861.7	100	0.0	.	13534.3	75	21284.3	71	51071.4	38	0.0	.	3965.1	100	15635.8	80	0.0	.	0.0	.	24244.7	85	0.0	.	0.0	.	30949.5	52	3964.4	100	0.0	.	0.0	.	10022.1	100	66902.0	65	0.0	.	0.0	.	48666.0	49	10478.7	100	10227.7	100	0.0	.	0.0	.	9913.1	100	7480.9	71	0.0	.	47980.7	73	0.0	.	0.0	.	33431.8	100	27865.1	58	5265.7	100	0.0	.	5062.1	100	16775.4	100	27194.4	58	4015.9	100	0.0	.	11855.6	58	0.0	.	0.0	.	0.0	.	83037.3	74	57038.0	76	3874.6	100	18574.1	71	11828.2	100	9851.2	100	0.0	.	9544.0	100	0.0	.	0.0	.	14070.3	100	0.0	.	19702.3	100	0.0	.	4377.7	100	0.0	.	10297.9	100	0.0	.	20776.6	71	0.0	.	37721.3	60	4254.7	100	13023.2	73	0.0	.	8220.0	71	18567.3	71	9351.1	100	3874.6	100	8887.6	100	4015.9	100	0.0	.	4015.9	100	0.0	.	0.0	.	30893.8	100	0.0	.	0.0	.	7570.9	71	20079.5	100	4015.9	100	21858.4	55	4015.9	100	0.0	.	0.0	.	1035957.7	13
	lying living trees	0.0	.	0.0	.	0.0	.	10039.8	100	0.0	.	0.0	.	9557.4	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	.	10022.1	100	38229.7	61	0.0	.	10297.9	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	8853.1	100	0.0	.	9686.5	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	.	20118.0	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	14091.8	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	11818.8	100	9686.5	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	.	20595.8	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	10039.8	100	0.0	.	0.0	.	183037.4	27
	dead trees	44977.7	51	81799.9	39	32614.6	52	132376.1	30	27447.3	100	39569.1	100	59050.6	57	166920.1	32	413527.6	25	148780.4	32	73744.9	56	63924.0	58	23566.0	86	0.0	.	101607.9	73	98268.7	51	38532.0	50	234611.4	33	97062.3	47	49577.2	73	58295.6	57	88338.9	64	96026.7	73	111078.7	48	43850.2	46	251693.8	28	90057.3	52	118451.0	36	50591.6	54	39089.7	62	33994.0	88	18702.2	71	11582.9	100	76568.8	41	0.0	.	168021.4	56	54389.2	67	145528.7	43	15853.8	78	8238.3	100	14917.2	77	31258.7	58	61532.1	46	8887.6	100	28388.8	74	17983.8	63	32944.6	64	10009.9	100	10640.0	100	23034.3	71	84336.1	55	130178.5	42	100739.9	46	70969.3	100	10793.8	100	9544.0	100	31521.6	73	71238.8	79	19088.0	100	0.0	.	0.0	.	53196.3	93	0.0	.	50337.3	82	0.0	.	50008.6	73	3736.7	100	41895.3	61	55838.0	86	104629.0	60	57135.2	49	83427.7	69	88125.3	51	200152.3	36	83230.6	50	131008.5	48	141840.5	46	43996.8	58	66450.2	47	9913.1	100	90068.2	46	154031.6	52	10009.9	100	27208.9	80	49468.0	61	43918.8	55	147412.1	31	51062.5	42	46941.6	78	100066.3	37	23742.2	72	94211.4	38	0.0	.	6279380.7	6
	total	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
21-40 %	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	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	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	1005936.7	26	1522509.2	27	508880.7	32	1043512.8	25	1221035.9	32	2078427.3	24	3085810.7	17	4545831.8	13	3352649.6	17	3428316.3	17	266095.7	42	494853.4	43	1167431.4	27	0.0	.	312198.3	52	1954193.3	25	1764855.0	24	683270.1	35	46495.3	.	211966.0	53	1272400.5	25	918788.0	31	2000733.3	27	1733681.7	23	3868533.1	16	3041018.2	18	1342327.6	28	1513224.1	25	2656062.1	20	774288.3	30	1566545.8	25	629289.1	37	532999.5	35	654215.0	38	500927.4	53	1123292.6	37	861056.7	33	758063.0	39	495410.3	47	561117.7	40	449361.9	36	1503876.6	25	1686291.3	24	773113.4	36	845707.1	34	616316.1	50	910412.0	31	1418611.3	30	1822319.9	23	659474.2	40	901419.1	30	252419.0	49	257103.0	50	137031.0	46	498120.6	47	793326.6	34	447577.2	54	505461.0	42	1387597.9	30	1178588.2	35	237540.4	52	553817.3	50	30066.4	.	269745.7	56	137185.3	65	571908.3	39	232721.1	40	905533.5	52	543368.8	44	218176.3	63	1022504.8	34	26767.0	72	230835.9	64	820507.0	38	929135.9	43	1118539.9	25	593749.7	35	565569.5	51	169943.9	.	62952.2	83	106822.4	76	1659400.4	26	1419340.2	24	1162471.7	28	823200.1	35	803297.8	37	503042.0	34	1023858.5	36	980732.5	26	340719.7	44	486150.0	45	460851.4	43	0.0	.	91552826.9	3
	exposed wood core	201263.2	35	210482.0	32	23954.1	85	141183.5	31	69644.5	54	124057.4	38	332477.8	25	697657.2	22	247355.3	25	556506.0	24	78143.8	48	111686.8	43	72228.1	38	0.0	.	68411.0	65	245123.4	33	205345.6	40	102024.8	40	3874.6	.	4003.9	100	170425.7	43	64086.0	44	184268.0	64	184930.2	31	287817.8	27	573099.2	20	135654.5	36	248008.0	36	345986.8	29	150719.2	36	206391.7	31	86426.2	47	68766.1	43	99807.1	38	43835.5	61	90646.4	40	140362.6	49	78083.8	54	121799.7	54	149800.2	72	93743.9	45	233218.9	48	157279.2	38	88655.4	43	124257.6	43	36349.2	61	89424.8	45	93932.6	42	184252.9	35	16036.7	81	258434.8	42	14055.7	77	55544.0	53	17491.2	81	79355.7	52	170262.3	46	21406.4	61	234983.1	43	209518.3	36	183779.7	40	24962.4	72	45759.7	83	10022.1	.	13561.4	76	30317.6	74	64992.8	59	22021.7	84	0.0	.	32242.0	67	0.0	.	93896.1	47	40159.0	100	3740.4	100	59233.0	59	82919.1	56	284145.1	35	48211.4	57	57493.1	49	10903.9	.	3965.1	100	16765.8	80	170172.9	46	120942.8	35	177737.6	38	105379.1	45	93228.8	51	140776.8	40	122710.1	62	79470.3	45	13702.4	77	42167.0	67	59731.5	40	0.0	.	11359650.9	5
	crack, woundwood rib	0.0	.	0.0	.	0.0	.	4015.9	100	4183.7	100	0.0	.	17483.2	65	23170.9	63	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	3541.2	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	38970.2	61	30026.7	64	35207.2	59	9913.1	100	0.0	.	0.0	.	10060.5	100	0.0	.	0.0	.	4254.7	100	0.0	.	0.0	.	0.0	.	20957.3	70	15398.7	78	9686.5	100	0.0	.	0.0	.	11597.8	100	26199.9	61	0.0	.	4254.7	100	0.0	.	0.0	.	0.0	.	13561.4	76	25310.2	61	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	13484.4	77	0.0	.	9544.0	100	4317.5	100	9851.2	100	0.0	.	0.0	.	0.0	.	4003.9	100	0.0	.	0.0	.	4003.9	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	26855.1	100	0.0	.	10078.6	71	0.0	.	3874.6	100	9686.5	100	4015.9	100	0.0	.	10039.8	100	0.0	.	0.0	.	417549.5	16
	stem breakage	29170.8	63	10039.8	100	0.0	.	14055.8	76	9013.3	100	14851.7	72	41402.0	50	33480.6	50	48453.7	92	27327.0	78	0.0	.	0.0	.	19263.9	71	0.0	.	4015.9	100	10039.8	100	17706.2	71	14400.3	100	0.0	.	0.0	.	18813.0	64	19114.9	100	23390.2	61	9769.5	72	57283.9	47	69391.3	65	29156.2	63	22237.8	71	33407.5	58	19264.2	71	10636.8	100	0.0	.	0.0	.	10636.8	100	0.0	.	8853.1	100	4721.2	100	19277.4	100	4639.1	100	30065.7	88	0.0	.	13018.3	75	19825.5	71	39308.6	70	0.0	.	17775.1	100	0.0	.	3823.0	100	14670.1	77	8853.1	100	19726.3	71	0.0	.	10703.4	100	0.0	.	0.0	.	29246.3	75	0.0	.	0.0	.	0.0	.	13186.2	100	0.0	.	19269.9	71	0.0	.	9557.4	100	0.0	.	9341.7	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	9913.1	100	0.0	.	22576.9	61	8887.6	100	53325.4	100	0.0	.	0.0	.	0.0	.	20032.0	71	0.0	.	19639.7	71	8853.1	100	0.0	.	0.0	.	0.0	.	4015.9	100	0.0	.	0.0	.	9686.5	100	0.0	.	1069114.3	12
	defoliation >50%	20903.7	71	0.0	.	0.0	.	0.0	.	8370.6	100	0.0	.	0.0	.	17706.2	100	0.0	.	10636.8	100	0.0	.	0.0	.	0.0	.	0.0	.	10640.0	100	19266.0	71	8330.3	71	0.0	.	0.0	.	0.0	.	7855.9	71	0.0	.	0.0	.	3823.0	100	0.0	.	9912.8	100	0.0	.	0.0	.	0.0	.	3740.4	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	14089.0	76	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	17706.2	100	0.0	.	8887.6	100	0.0	.	0.0	.	0.0	.	0.0	.	9851.2	100	0.0	.	7846.3	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	9341.7	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	9686.5	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	29412.8	74	0.0	.	4639.1	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	4281.4	100	0.0	.	236927.4	21
	canker	4725.6	100	3895.3	100	4015.9	100	20511.4	60	43003.7	59	10412.9	100	19351.6	71	42875.5	44	30567.1	48	18132.9	63	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	4639.1	100	13195.4	75	4015.9	100	0.0	.	4003.9	100	4003.9	100	4119.2	100	0.0	.	14688.4	100	20651.2	71	21959.6	69	69645.8	62	29551.8	53	43871.3	71	0.0	.	19146.3	64	0.0	.	9351.1	100	18567.0	65	22588.1	71	3541.2	100	29221.9	58	0.0	.	0.0	.	18683.5	71	22076.5	71	16657.4	79	13653.2	78	9912.8	100	0.0	.	0.0	.	9912.8	100	0.0	.	10640.0	100	15935.6	81	10039.8	100	0.0	.	0.0	.	0.0	.	0.0	.	11821.4	74	0.0	.	12273.0	73	0.0	.	9418.7	100	9851.2	100	9851.2	100	0.0	.	0.0	.	10009.9	100	3736.7	100	3736.7	100	0.0	.	16743.6	63	0.0	.	4282.5	100	0.0	.	0.0	.	0.0	.	9913.1	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	18017.7	100	27360.8	86	9686.5	100	4015.9	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	822483.5	12
	bark necrosis	0.0	.	3895.3	100	3874.6	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	8887.6	100	0.0	.	0.0	.	0.0	.	3740.4	100	0.0	.	0.0	.	0.0	.	4256.0	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	4015.9	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	28669.8	44
	resinosis	0.0	.	49512.3	73	17577.0	64	39735.1	49	39853.8	49	59010.2	49	251645.1	26	222045.1	30	53268.6	70	57739.5	40	13091.6	100	32118.7	100	19263.9	71	0.0	.	14244.6	79	126328.7	39	159568.9	50	8031.8	71	0.0	.	10297.9	100	217762.5	29	52192.9	51	181976.8	35	382365.9	26	263812.1	29	143213.8	35	33661.9	51	112961.3	52	67207.1	37	24080.9	84	56302.5	49	9912.8	100	61359.2	69	31448.8	49	8853.1	100	36030.8	53	25306.8	71	18165.8	61	32192.0	58	54471.8	44	32815.9	74	9596.5	71	70884.2	72	25014.1	86	3965.1	100	8887.6	100	13878.2	77	87456.5	49	49238.1	45	13018.3	75	43397.8	50	0.0	.	0.0	.	0.0	.	10460.2	100	56829.6	78	0.0	.	0.0	.	7880.9	100	19461.2	71	0.0	.	0.0	.	10022.1	.	97010.7	69	14301.9	77	47271.2	63	15731.0	61	39408.8	100	0.0	.	14863.0	100	58395.4	61	0.0	.	37742.3	60	27756.7	63	50240.3	46	66777.1	46	14984.8	100	13561.1	100	0.0	.	0.0	.	5869.1	100	219905.9	45	193383.6	39	64560.0	47	64027.9	49	37091.4	81	14578.0	78	96938.0	76	39805.8	46	13702.4	77	55256.2	79	66009.7	94	0.0	.	4818590.1	7
	inclusion	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	33974.4	65	58150.8	74	70796.7	46	4391.2	100	22170.8	60	20903.3	100	0.0	.	28867.3	71	0.0	.	0.0	.	0.0	.	14523.7	59	14055.7	100	0.0	.	4008.8	100	7740.6	71	0.0	.	10297.9	100	11796.3	58	14013.8	77	42773.7	50	0.0	.	0.0	.	42878.1	65	0.0	.	22264.6	71	0.0	.	0.0	.	3965.1	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	49051.3	66	7930.2	71	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	34497.6	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	46116.5	71	21672.6	100	0.0	.	0.0	.	40973.5	79	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	84630.3	75	3823.0	100	91688.5	95	7082.5	100	0.0	.	6931.6	100	0.0	.	0.0	.	29342.8	78	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	10297.9	100	23571.2	61	0.0	.	0.0	.	7839.6	100	5022.1	100	35734.8	76	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	933778.8	17
	stag-headedness	0.0	.	13914.4	77	20079.5	100	0.0	.	0.0	.	0.0	.	25058.7	62	41503.8	50	21284.3	71	20549.6	71	0.0	.	23690.5	72	29176.6	75	0.0	.	3555.0	100	10039.8	100	10412.9	100	10039.8	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	23842.7	85	31842.0	52	19264.2	71	8853.1	100	0.0	.	52900.6	45	47209.4	66	10636.8	100	0.0	.	9351.1	100	29176.6	75	0.0	.	8853.1	100	25596.9	71	0.0	.	0.0	.	0.0	.	4165.2	100	10412.9	100	9351.1	100	20549.9	71	10137.6	100	0.0	.	3965.2	100	0.0	.	28252.5	73	0.0	.	0.0	.	0.0	.	0.0	.	19088.0	100	5252.5	100	10042.5	100	0.0	.	13774.3	77	36157.8	58	8897.7	100	0.0	.	9418.7	100	0.0	.	10009.9	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	10039.8	100	0.0	.	0.0	.	0.0	.	39883.2	50	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	4119.2	100	9341.7	100	5194.8	100	0.0	.	0.0	.	9686.5	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	774572.2	12
	other type of damage	35970.8	59	11821.2	58	4015.9	100	4015.9	100	0.0	.	28119.1	73	28941.7	55	52389.2	57	8804.3	71	48034.0	52	4942.5	100	17518.2	81	67771.8	82	0.0	.	0.0	.	19024.1	71	14117.6	59	18892.8	71	0.0	.	0.0	.	7826.9	71	29412.8	74	50008.6	60	35064.8	56	65039.7	38	68643.9	45	0.0	.	14118.4	77	25646.0	53	29970.4	58	0.0	.	0.0	.	0.0	.	3965.1	100	0.0	.	10478.7	100	0.0	.	0.0	.	0.0	.	45570.6	77	5428.8	100	17428.5	81	13091.6	77	10636.8	100	0.0	.	9686.5	100	0.0	.	16861.0	71	8853.1	100	0.0	.	44301.8	58	0.0	.	4015.9	100	0.0	.	0.0	.	46939.0	43	0.0	.	11995.8	100	8258.0	71	29403.6	54	0.0	.	0.0	.	0.0	.	0.0	.	33068.3	73	0.0	.	18094.9	64	18977.8	100	12869.0	76	14863.0	100	38705.6	66	8031.8	100	0.0	.	4034.6	100	3965.2	100	3965.1	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	27071.8	63	17384.3	63	14126.2	78	4256.0	100	0.0	.	20688.6	71	0.0	.	13561.1	100	7890.5	71	0.0	.	0.0	.	0.0	.	1238579.2	11
	lying living trees	0.0	.	0.0	.	0.0	.	0.0	.	8853.1	100	8330.3	100	10056.1	100	10478.7	100	0.0	.	22325.6	100	3740.4	100	0.0	.	0.0	.	0.0	.	8853.1	100	10412.9	100	0.0	.	10640.0	100	0.0	.	0.0	.	0.0	.	4119.2	100	28672.3	100	20044.2	100	120613.1	43	0.0	.	0.0	.	10039.8	100	10640.0	100	9913.1	100	4254.7	100	0.0	.	9351.1	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	10412.9	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	14896.0	100	0.0	.	0.0	.	0.0	.	0.0	.	19088.0	71	25628.0	100	9544.0	100	0.0	.	3940.5	100	9851.2	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	20595.8	100	0.0	.	10009.9	100	10478.7	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	19263.9	71	3906.0	100	0.0	.	0.0	.	0.0	.	0.0	.	10297.9	100	0.0	.	10022.1	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	489272.5	18
	dead trees	109052.5	49	87906.5	51	55750.6	53	103373.6	37	13198.6	75	241259.3	34	598511.5	28	307334.1	28	246611.6	30	234423.1	37	9351.1	100	50820.9	73	114424.4	39	0.0	.	58592.8	61	293373.1	46	226668.7	33	64494.5	50	0.0	.	10009.9	100	96143.3	49	97575.8	45	278129.4	41	485628.0	42	874291.6	33	350221.5	31	116217.6	43	90733.5	46	877949.0	34	95971.9	42	41261.7	50	43616.5	56	0.0	.	61087.2	48	42348.6	69	123119.3	48	94099.2	47	95896.6	68	50971.7	55	106920.6	48	56925.6	55	99193.1	40	165220.7	35	43133.2	65	29737.2	58	17775.1	100	103433.2	55	116885.8	47	340068.0	54	132144.3	53	42100.0	47	10039.8	100	0.0	.	112316.6	55	50864.8	67	197363.7	47	28688.5	74	129820.8	66	301244.9	56	139480.9	48	10793.8	100	88893.4	73	0.0	.	3823.0	100	53664.2	65	51891.1	52	23871.6	58	8853.1	100	70271.7	48	32638.1	71	100074.8	45	10039.8	100	20057.3	71	29739.3	74	172587.3	58	137812.8	38	93172.6	40	39566.1	64	54519.5	.	0.0	.	0.0	.	195199.3	35	250204.2	48	228143.9	32	83508.2	43	32934.2	89	51489.1	44	47163.9	54	63548.0	57	19373.0	71	20079.5	71	42175.0	64	0.0	.	10999863.3	6
	total	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
41-60 %	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	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	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	912894.8	30	104579.5	64	0.0	.	317083.2	43	295988.4	59	911462.7	37	6308169.9	15	2547633.1	18	1631757.5	23	2914984.9	20	245568.4	54	622088.4	44	710540.9	33	0.0	.	186372.3	56	114360.5	61	1664641.1	30	304322.4	41	0.0	.	1531919.3	26	2588528.2	21	2407094.3	20	4209751.7	19	5427341.6	14	4893166.5	13	3784241.4	16	1110818.2	34	900246.3	29	1465527.6	25	173198.5	71	214929.8	54	222972.7	59	307496.7	42	588368.4	34	552790.8	41	662408.1	40	980624.4	32	431813.2	46	1172382.3	41	1579392.4	26	1138347.5	32	1599699.5	25	952248.7	36	393337.9	59	974644.2	31	374979.0	44	1119463.8	26	856603.5	36	955379.6	28	831367.6	32	369919.4	52	58230.6	.	116461.1	75	1056247.4	35	1399847.1	29	786721.0	30	986868.0	35	1531715.7	28	2513358.3	24	2440117.8	24	1282098.7	31	961215.4	32	628808.4	47	150882.7	57	75288.3	75	717802.1	35	640221.8	36	1269802.8	30	399895.0	46	0.0	.	919111.1	36	218167.4	69	85435.3	70	142746.5	66	228993.0	49	199623.7	52	526994.0	41	128508.8	.	29059.6	.	202100.1	70	46182.9	.	3988595.2	16	4419158.1	15	4200938.7	17	608820.5	39	158276.4	71	106421.4	.	472468.6	38	574140.6	47	0.0	.	112363.7	78	50198.8	.	0.0	.	98997337.4	3
	exposed wood core	161928.9	31	4015.9	100	0.0	.	112288.2	57	33641.8	78	54412.0	44	847837.4	17	450713.7	25	185431.4	28	493220.0	24	34206.1	63	71620.4	42	180553.8	50	0.0	.	29221.9	73	14668.9	77	250067.1	34	83817.0	56	0.0	.	228200.4	33	257300.3	26	183817.0	34	468315.3	27	747597.3	20	600673.2	20	772889.9	21	169632.8	39	141409.3	37	220836.2	33	11895.7	100	49973.7	56	47336.5	65	28615.3	74	61763.5	58	145382.5	38	88460.9	46	128420.4	39	35984.9	72	283361.8	61	193097.6	37	143270.7	36	228408.3	43	96584.0	45	37199.4	73	177852.3	35	85763.6	48	233154.6	36	129501.5	46	170591.8	37	39659.9	43	57478.7	66	0.0	.	18071.6	81	218193.4	47	248273.6	34	178211.4	42	241813.5	46	507617.7	32	610658.0	26	291900.1	31	455924.7	37	165671.0	42	182562.4	50	45650.4	60	0.0	.	140930.6	48	100192.9	48	264127.6	46	64560.4	54	0.0	.	262541.7	38	70081.8	68	44744.1	80	33703.7	58	47822.9	64	3965.2	100	42401.4	58	0.0	.	9686.5	.	4254.7	100	14055.7	.	428098.1	18	569155.9	21	615219.4	21	77709.9	51	43734.3	71	0.0	.	117493.0	46	40017.7	47	0.0	.	23247.7	100	14055.7	.	0.0	.	15468422.7	4
	crack, woundwood rib	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	52060.4	57	8853.1	100	4015.9	100	0.0	.	0.0	.	0.0	.	13878.3	100	0.0	.	0.0	.	0.0	.	4165.2	100	0.0	.	0.0	.	10297.9	100	20032.0	71	10056.1	100	39227.0	62	80015.4	44	88749.5	70	25718.8	54	0.0	.	3541.2	100	20825.8	71	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	8853.1	100	0.0	.	5198.5	100	4015.9	100	3541.2	100	23592.0	62	25629.8	62	10412.9	100	3965.1	100	9913.1	100	3965.2	100	0.0	.	3965.1	100	9341.7	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	9851.2	100	9896.8	100	8367.2	71	19088.0	100	11494.4	73	20212.4	71	23852.4	62	26673.0	54	9851.2	100	10009.9	100	0.0	.	0.0	.	0.0	.	10297.9	100	27753.5	58	0.0	.	0.0	.	10636.8	100	10780.7	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	4008.8	100	29412.8	58	69489.0	52	0.0	.	0.0	.	0.0	.	10039.8	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	815545.9	14
	stem breakage	29738.3	74	0.0	.	0.0	.	10039.8	100	10412.9	100	9115.4	100	70219.1	50	69895.7	56	13702.4	77	25665.7	72	0.0	.	9913.1	100	0.0	.	0.0	.	0.0	.	0.0	.	18885.6	71	4256.0	100	0.0	.	10297.9	100	24023.6	100	32861.4	52	103233.3	51	118863.6	39	27461.2	54	99092.6	39	9765.1	100	4165.2	100	9923.8	100	0.0	.	0.0	.	9912.8	100	0.0	.	0.0	.	10640.0	100	0.0	.	19742.4	77	10039.8	100	12394.3	77	0.0	.	20402.5	71	10412.9	100	9351.1	100	0.0	.	19826.2	71	0.0	.	9351.1	100	8853.1	100	10640.0	100	17706.2	100	0.0	.	0.0	.	0.0	.	48832.8	60	69555.3	48	20212.4	71	9851.2	100	30188.9	58	27050.8	73	100994.7	50	30791.6	58	34536.6	53	10009.9	100	0.0	.	0.0	.	0.0	.	22722.1	61	8853.1	100	10412.9	100	0.0	.	10636.8	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	14876.2	100	48692.0	45	64255.3	47	20825.8	100	0.0	.	0.0	.	20079.5	100	23742.2	61	0.0	.	0.0	.	0.0	.	0.0	.	1507924.2	10
	defoliation >50%	0.0	.	0.0	.	0.0	.	0.0	.	17706.2	100	0.0	.	19579.5	71	17294.6	71	0.0	.	13091.6	77	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	17706.2	100	0.0	.	9341.7	100	3823.0	100	30168.2	100	30784.5	62	30317.6	74	10297.9	100	7705.7	71	0.0	.	44437.8	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	4254.7	100	3541.2	100	8853.1	100	9557.4	100	0.0	.	0.0	.	0.0	.	8853.1	100	11270.4	100	0.0	.	0.0	.	9351.1	100	0.0	.	9912.8	100	9557.4	100	0.0	.	10640.0	100	0.0	.	0.0	.	0.0	.	9418.7	100	3817.6	100	19051.7	64	58286.3	100	156471.8	47	98360.0	63	0.0	.	44795.1	61	293620.1	64	0.0	.	0.0	.	0.0	.	9557.4	100	18683.5	100	10056.1	100	0.0	.	0.0	.	0.0	.	31778.0	85	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	38670.4	61	0.0	.	4165.2	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	1134777.6	21
	canker	13653.2	78	0.0	.	0.0	.	4015.9	100	8853.1	100	20825.8	100	45362.3	46	47292.5	47	26347.2	73	20549.6	71	18702.2	71	5579.2	100	25379.5	73	0.0	.	8887.6	100	0.0	.	10412.9	100	4165.2	100	0.0	.	4003.9	100	34033.5	100	21438.7	56	26588.2	77	81836.2	41	35849.1	59	59252.9	56	11597.8	100	8330.3	71	38532.0	66	0.0	.	0.0	.	0.0	.	8509.5	100	0.0	.	3541.2	100	0.0	.	4434.2	100	0.0	.	0.0	.	36837.2	48	17183.4	71	62945.3	39	0.0	.	0.0	.	0.0	.	0.0	.	9351.1	100	13380.4	100	36449.4	50	13018.3	75	0.0	.	0.0	.	4015.9	100	10042.5	100	3940.5	100	0.0	.	19702.3	71	29295.5	76	20644.9	71	17629.0	63	9544.0	100	19702.3	100	0.0	.	0.0	.	0.0	.	10336.8	100	0.0	.	10537.7	100	10412.9	100	0.0	.	13316.2	76	5115.4	100	0.0	.	9912.8	100	23643.9	71	0.0	.	0.0	.	0.0	.	0.0	.	4254.7	100	0.0	.	11382.6	75	0.0	.	86188.0	48	10412.9	100	0.0	.	0.0	.	14658.8	75	0.0	.	0.0	.	3874.6	100	0.0	.	0.0	.	1135703.2	11
	bark necrosis	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	3736.7	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	.	3541.2	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	4256.0	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	10039.8	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	21573.7	56
	resinosis	9351.1	100	0.0	.	0.0	.	0.0	.	4165.2	100	4165.2	100	561317.0	18	125394.2	31	43181.8	46	81368.4	48	3740.4	100	9913.1	100	0.0	.	0.0	.	8887.6	100	41996.8	82	81874.2	43	7811.2	71	0.0	.	95486.5	38	502257.3	26	234165.9	26	265200.2	26	654197.1	18	296855.3	22	49856.2	43	51350.1	55	26800.2	53	140714.3	37	0.0	.	0.0	.	14891.6	77	14167.8	76	7979.9	100	91132.4	60	62766.0	39	36305.2	46	16666.0	79	27129.0	55	50724.7	53	12394.3	100	29077.3	76	19826.2	71	0.0	.	0.0	.	0.0	.	7930.2	71	56278.9	57	27300.7	54	8421.2	71	13657.1	100	0.0	.	0.0	.	77809.5	45	117446.3	38	58233.3	46	0.0	.	0.0	.	0.0	.	17078.9	71	18962.7	71	43831.4	90	38335.2	61	14417.1	77	0.0	.	45033.7	52	78094.2	42	83982.6	40	36599.0	78	0.0	.	10636.8	100	26676.7	100	0.0	.	21808.5	73	26014.1	100	9913.1	100	4281.4	100	0.0	.	0.0	.	0.0	.	0.0	.	393062.4	24	793128.9	19	290044.0	27	37596.2	90	0.0	.	0.0	.	24631.6	100	27758.1	63	0.0	.	3874.6	100	0.0	.	0.0	.	6095947.8	6
	inclusion	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	34745.2	58	202699.6	47	25692.4	85	4281.4	100	82861.6	77	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	31871.1	74	0.0	.	0.0	.	3736.7	100	3823.0	100	37064.2	48	26025.6	64	60238.6	54	49869.4	100	120657.1	83	0.0	.	14578.1	100	37067.2	66	0.0	.	0.0	.	0.0	.	0.0	.	7979.9	100	0.0	.	0.0	.	20255.6	71	0.0	.	12394.3	100	0.0	.	0.0	.	64643.0	73	0.0	.	0.0	.	0.0	.	0.0	.	11278.9	100	8027.1	100	49982.0	82	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	24661.6	86	10007.1	100	19702.3	100	11066.7	100	47765.5	63	10561.5	100	3767.5	100	9851.2	100	5895.5	100	0.0	.	0.0	.	0.0	.	4180.5	100	69720.0	57	0.0	.	0.0	.	0.0	.	8887.6	100	0.0	.	0.0	.	13007.0	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	110407.1	61	126678.4	56	50599.3	73	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	1436531.0	15
	stag-headedness	18702.2	100	0.0	.	0.0	.	19244.9	71	8853.1	100	10412.9	100	20552.8	71	10039.8	100	0.0	.	28053.4	58	3740.4	100	19866.6	71	25379.5	73	0.0	.	42620.7	100	0.0	.	20825.8	71	10039.8	100	0.0	.	9341.7	100	3823.0	100	13294.1	77	61778.3	63	49568.3	45	47670.3	53	61985.2	54	10039.8	100	13044.6	75	37596.9	68	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	21280.0	100	31238.8	100	10039.8	100	0.0	.	18683.5	71	0.0	.	0.0	.	47317.2	82	0.0	.	0.0	.	9351.1	100	29176.6	58	10412.9	100	10412.9	100	0.0	.	0.0	.	0.0	.	0.0	.	42000.0	46	9418.7	100	39482.3	50	75671.0	58	43695.8	56	187292.9	53	116189.8	55	96516.6	60	112133.2	56	0.0	.	11983.3	100	0.0	.	0.0	.	10009.9	100	9557.4	100	0.0	.	0.0	.	19988.0	71	10039.8	100	0.0	.	9913.1	100	0.0	.	0.0	.	0.0	.	10039.8	.	0.0	.	0.0	.	0.0	.	16651.3	79	50008.6	53	11468.9	58	0.0	.	0.0	.	0.0	.	10039.8	100	20079.5	71	0.0	.	0.0	.	0.0	.	0.0	.	1646566.5	12
	other type of damage	3965.1	100	0.0	.	0.0	.	13221.1	76	0.0	.	0.0	.	143010.1	31	13073.8	75	17867.6	63	43074.5	63	0.0	.	19826.2	100	0.0	.	0.0	.	0.0	.	0.0	.	20891.6	71	0.0	.	0.0	.	30265.1	58	17796.7	64	33778.4	47	75514.0	34	127554.6	29	139812.9	38	59882.2	49	20450.9	71	17740.7	71	8853.1	100	0.0	.	0.0	.	14601.9	78	0.0	.	0.0	.	3541.2	100	14181.3	79	0.0	.	10039.8	100	3541.2	100	27974.7	87	11209.0	100	16058.6	59	9351.1	100	0.0	.	9913.1	100	3740.4	100	13877.9	77	8853.1	100	23990.1	62	0.0	.	4015.9	100	0.0	.	0.0	.	18837.4	100	37264.1	63	7707.9	71	13484.4	77	64059.9	49	55864.6	42	59067.2	64	0.0	.	40932.1	55	0.0	.	0.0	.	0.0	.	0.0	.	8238.3	100	8853.1	100	0.0	.	0.0	.	18132.6	63	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	4015.9	100	10039.8	.	0.0	.	0.0	.	0.0	.	73812.6	38	74152.7	36	43174.6	50	0.0	.	0.0	.	0.0	.	10774.5	100	4015.9	100	0.0	.	0.0	.	10039.8	.	0.0	.	1543935.3	9
	lying living trees	3965.1	100	10039.8	100	0.0	.	0.0	.	0.0	.	0.0	.	28708.4	58	10640.0	100	4015.9	100	0.0	.	9351.1	100	0.0	.	9351.1	100	0.0	.	0.0	.	10412.9	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	3823.0	100	34286.6	71	74610.8	49	86370.9	63	9351.1	100	59543.1	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	17706.2	100	0.0	.	11597.8	100	0.0	.	62648.5	71	8853.1	100	10640.0	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	8853.1	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	48027.1	60	0.0	.	0.0	.	39404.7	100	53968.8	82	21587.5	100	9544.0	100	0.0	.	9851.2	100	0.0	.	0.0	.	0.0	.	0.0	.	9557.4	100	0.0	.	0.0	.	0.0	.	10636.8	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	50649.9	53	53412.9	50	139190.7	64	0.0	.	0.0	.	0.0	.	17775.1	100	4015.9	100	0.0	.	9686.5	100	0.0	.	0.0	.	952077.1	17
	dead trees	109899.9	41	0.0	.	0.0	.	47695.0	65	75925.8	64	187466.3	42	1460882.9	18	326224.4	31	143894.6	34	364396.8	29	52691.1	67	114972.3	59	102340.0	53	0.0	.	65691.5	69	35461.3	91	182550.7	58	152761.9	53	0.0	.	306113.1	36	199172.6	29	226847.9	27	797576.8	24	782331.7	21	542278.7	23	526475.6	21	236592.9	49	174909.1	38	330375.2	41	0.0	.	0.0	.	14167.5	76	0.0	.	90242.4	55	74366.0	60	112898.7	53	190438.4	43	49186.8	68	147884.9	47	276887.2	32	120314.3	63	186180.1	42	66845.1	57	24804.7	61	102356.5	47	40061.0	71	151417.8	33	81701.0	56	111786.2	42	135394.3	44	0.0	.	0.0	.	10039.8	100	207247.8	44	162669.8	36	118674.8	45	159712.4	56	313769.8	53	709608.8	27	405757.3	35	364425.7	45	225192.8	40	21503.9	67	15987.2	79	78184.4	82	101377.4	52	171669.9	38	188154.6	38	99602.5	48	0.0	.	252988.4	34	27597.7	61	29739.3	100	29739.3	100	64006.7	71	19825.8	71	55053.4	53	34135.2	.	9686.5	.	14891.6	100	24095.4	.	899957.9	21	901940.5	23	861009.5	26	76468.0	51	0.0	.	10039.8	.	168491.1	48	65909.1	49	0.0	.	4023.6	100	8031.8	.	0.0	.	16433670.1	5
	total	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
61-80 %	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	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	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	293417.4	48	0.0	.	0.0	.	52307.2	.	402525.9	47	162441.6	73	5471847.6	14	2145568.4	20	279960.7	44	1456144.6	29	0.0	.	82289.9	86	280732.4	51	0.0	.	163956.9	73	108007.7	.	392212.3	51	152273.2	95	0.0	.	2357568.5	22	2113822.4	19	1092156.1	25	2389979.6	26	5294630.4	15	5303717.1	15	1694165.1	25	181346.4	51	23018.0	100	1380027.6	27	150014.7	56	185081.2	75	135554.8	89	29739.3	.	178498.6	78	816776.3	51	459950.7	52	1996138.7	30	37486.5	.	689022.4	36	1597741.3	29	618912.8	34	419417.3	40	0.0	.	224944.5	56	447724.9	64	62206.0	75	341563.8	49	709884.4	35	10640.0	100	397038.9	50	0.0	.	0.0	.	0.0	.	262361.1	57	1365894.5	28	334496.7	49	1207161.2	32	1104705.1	30	1318524.2	28	1784889.4	23	1696080.0	27	1451784.7	30	715167.1	39	382747.9	52	1028441.2	31	648418.3	36	657356.8	43	1441589.1	29	160845.6	71	0.0	.	115858.6	84	0.0	.	524572.3	56	0.0	.	55511.4	.	0.0	.	0.0	.	0.0	.	0.0	.	38292.7	.	23954.1	85	5056895.3	13	2959580.5	22	4098166.4	16	29156.2	.	345271.0	80	0.0	.	252060.6	52	72586.0	80	4281.4	.	0.0	.	0.0	.	0.0	.	71919103.2	4
	exposed wood core	35685.9	71	0.0	.	0.0	.	17435.7	.	204462.6	71	18743.3	81	1069405.2	16	319554.2	29	76114.5	82	636683.9	28	0.0	.	7480.9	100	209729.3	63	0.0	.	13165.1	100	17706.2	.	204381.0	51	17706.2	100	0.0	.	575931.2	27	487256.8	25	187352.3	31	202241.2	29	1280515.1	22	862790.3	20	286178.1	36	24991.0	72	33295.1	73	265409.9	36	49514.0	59	65948.5	100	21808.1	100	39652.4	.	47358.1	92	81675.0	50	44027.1	62	402686.2	42	62477.5	.	191793.0	46	164111.2	31	235946.3	60	167137.9	50	0.0	.	108459.3	56	103801.4	59	15411.1	71	102312.5	48	219477.4	44	14896.0	100	100595.1	56	0.0	.	0.0	.	0.0	.	36217.0	61	266688.0	39	144984.1	63	372572.2	44	455488.0	33	680918.5	31	323687.4	34	448376.6	31	456573.6	32	290908.5	48	221466.3	56	233992.6	37	212879.6	56	376063.5	53	213104.3	43	41640.2	74	0.0	.	39901.4	100	0.0	.	29968.7	58	0.0	.	7930.2	.	0.0	.	0.0	.	0.0	.	0.0	.	19146.3	.	0.0	.	1094978.4	16	611763.1	22	898642.2	19	8330.3	.	43412.9	80	0.0	.	101307.4	52	10039.8	100	0.0	.	0.0	.	0.0	.	0.0	.	16934284.0	5
	crack, woundwood rib	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	10412.9	100	30712.7	73	10704.9	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	50548.4	49	39159.1	62	3823.0	100	19114.9	71	36660.5	48	43025.7	64	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	18194.8	71	0.0	.	11597.8	100	0.0	.	15763.0	78	9923.8	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	29601.7	75	0.0	.	4165.2	100	0.0	.	0.0	.	0.0	.	0.0	.	3940.5	100	19893.6	71	27960.3	73	20644.9	71	10793.8	100	19088.0	100	42063.9	80	19269.9	71	4119.2	100	19114.9	71	7645.9	100	0.0	.	0.0	.	28184.9	58	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	9557.4	100	19855.3	71	10297.9	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	595838.7	15
	stem breakage	0.0	.	0.0	.	0.0	.	0.0	.	4165.2	100	0.0	.	97745.0	37	52550.7	50	0.0	.	28255.1	55	0.0	.	0.0	.	9912.8	100	0.0	.	8776.7	100	0.0	.	0.0	.	8853.1	100	0.0	.	22420.2	61	42686.1	46	10056.1	100	84052.9	38	140984.0	30	90354.9	32	48305.3	52	10412.9	100	0.0	.	20450.9	71	0.0	.	0.0	.	13091.6	100	0.0	.	0.0	.	20825.8	100	0.0	.	30881.2	75	0.0	.	33608.6	76	9341.7	100	0.0	.	8853.1	100	0.0	.	20619.3	71	0.0	.	0.0	.	25806.9	73	4022.4	100	0.0	.	46391.3	100	0.0	.	0.0	.	0.0	.	13361.6	77	11475.4	58	51418.7	68	21727.0	71	0.0	.	47967.8	60	85916.1	40	19269.9	71	23210.3	61	13460.9	76	39587.0	80	19639.7	71	0.0	.	0.0	.	20422.8	71	0.0	.	0.0	.	0.0	.	0.0	.	20056.0	71	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	128505.6	43	40175.4	62	113020.7	31	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	10703.4	.	0.0	.	0.0	.	0.0	.	1573341.8	10
	defoliation >50%	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	30247.6	56	0.0	.	0.0	.	3965.1	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	3541.2	.	0.0	.	0.0	.	0.0	.	7826.9	71	52695.9	52	0.0	.	0.0	.	51145.0	52	17092.4	71	9913.1	100	0.0	.	0.0	.	17706.2	100	4254.7	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	4191.5	100	0.0	.	0.0	.	28025.2	74	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	3767.5	100	0.0	.	118214.1	100	45174.9	57	62877.4	75	0.0	.	17559.1	64	7665.3	100	0.0	.	0.0	.	25779.2	72	0.0	.	0.0	.	10478.7	100	0.0	.	0.0	.	0.0	.	0.0	.	4029.1	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	19567.3	71	22573.6	61	10009.9	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	578300.8	25
	canker	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	27299.7	54	41774.7	52	0.0	.	20797.1	61	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	8853.1	100	0.0	.	0.0	.	10056.1	100	13832.8	77	10009.9	100	17402.8	63	101951.6	39	95480.0	46	23790.6	62	0.0	.	0.0	.	12969.5	58	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	10412.9	100	0.0	.	11871.6	76	0.0	.	21247.4	72	4003.9	100	12394.3	77	16559.5	79	0.0	.	0.0	.	9913.1	100	0.0	.	8015.1	100	9341.7	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	6434.6	100	10793.8	100	32381.3	100	19269.9	71	23587.4	61	0.0	.	9851.2	100	13845.4	75	40300.6	43	0.0	.	0.0	.	4022.4	100	23756.4	62	3736.7	100	14201.3	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	.	10009.9	100	28818.5	48	22021.7	61	0.0	.	0.0	.	0.0	.	4015.9	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	755024.2	12
	bark necrosis	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	3767.5	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	3767.5	100
	resinosis	0.0	.	0.0	.	0.0	.	0.0	.	4902.2	100	0.0	.	716657.6	21	166014.3	33	9686.5	100	12185.2	58	0.0	.	0.0	.	0.0	.	0.0	.	4388.4	100	8853.1	.	38270.0	60	0.0	.	0.0	.	131777.9	35	341986.5	23	100614.8	35	173016.2	29	775649.9	19	449620.3	22	10636.8	100	8330.3	100	3541.2	100	46927.1	43	4254.7	100	0.0	.	0.0	.	0.0	.	13878.3	100	29383.3	63	48096.7	74	92892.8	42	0.0	.	7148.6	71	48966.4	50	0.0	.	8330.3	71	0.0	.	42686.1	71	3740.4	100	0.0	.	0.0	.	21121.0	68	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	15972.4	100	48571.3	43	25183.0	71	0.0	.	15493.4	100	0.0	.	52763.8	77	14277.9	76	3940.5	100	43509.2	56	38037.4	100	90325.7	40	28025.2	88	54289.2	54	65854.4	41	8382.9	100	0.0	.	0.0	.	0.0	.	4029.1	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	656868.4	19	440840.2	26	547863.4	22	0.0	.	0.0	.	0.0	.	0.0	.	9686.5	100	0.0	.	0.0	.	0.0	.	0.0	.	5487471.5	6
	inclusion	0.0	.	0.0	.	0.0	.	0.0	.	3969.5	100	0.0	.	93387.7	48	7082.5	100	0.0	.	23518.6	61	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	59401.9	94	0.0	.	0.0	.	57181.2	60	20853.8	73	0.0	.	0.0	.	40036.0	42	30062.2	55	36165.3	89	0.0	.	0.0	.	24811.7	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	21052.9	71	0.0	.	0.0	.	0.0	.	0.0	.	4508.2	100	14193.3	100	29156.2	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	3736.7	100	0.0	.	18861.6	100	0.0	.	0.0	.	0.0	.	0.0	.	18218.3	63	3767.5	100	16953.6	100	27410.3	87	0.0	.	0.0	.	32212.7	100	0.0	.	38323.1	78	0.0	.	3823.0	100	0.0	.	37415.5	61	4191.5	100	10412.9	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	46699.4	46	35765.1	69	28603.7	55	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	791775.8	16
	stag-headedness	29738.3	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	69432.4	36	35670.7	53	10562.7	100	39833.6	50	0.0	.	0.0	.	9351.1	100	0.0	.	0.0	.	0.0	.	8853.1	100	0.0	.	0.0	.	10009.9	100	10022.1	100	41907.5	62	0.0	.	96935.4	35	38694.4	61	51844.0	52	3555.0	100	0.0	.	21962.2	60	0.0	.	0.0	.	18702.2	100	0.0	.	0.0	.	10640.0	100	10478.7	100	0.0	.	0.0	.	45206.4	80	25666.2	78	16125.3	100	0.0	.	0.0	.	14195.6	76	0.0	.	0.0	.	19825.5	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	37449.1	54	40921.2	78	30496.1	74	40438.6	59	176193.2	47	19269.9	71	151501.2	56	74114.2	56	0.0	.	9557.4	100	15723.1	100	0.0	.	10056.1	100	0.0	.	0.0	.	0.0	.	9975.4	100	0.0	.	10142.9	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	143293.3	41	43614.2	57	17836.8	64	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	1469794.8	12
	other type of damage	11895.3	74	0.0	.	0.0	.	19373.0	.	6859.2	100	4165.2	100	95832.7	37	44189.8	50	0.0	.	24986.9	62	0.0	.	0.0	.	27194.2	63	0.0	.	0.0	.	0.0	.	7090.7	100	0.0	.	0.0	.	21352.4	61	94895.5	35	56934.5	42	15653.8	50	105550.1	41	82972.6	36	0.0	.	10412.9	100	0.0	.	7706.4	71	10636.8	100	0.0	.	0.0	.	0.0	.	0.0	.	14578.1	77	0.0	.	31877.8	63	0.0	.	12394.3	100	88109.7	43	11597.8	100	4165.2	100	0.0	.	21412.4	100	31721.8	68	0.0	.	0.0	.	5577.1	100	0.0	.	20450.9	71	0.0	.	0.0	.	0.0	.	0.0	.	19702.3	100	7635.2	71	60780.7	59	20644.9	71	71956.5	61	74687.9	42	36808.0	66	49447.2	66	21219.9	61	47787.1	100	7745.5	71	44423.8	60	29407.6	58	8813.8	100	0.0	.	0.0	.	9975.4	100	0.0	.	0.0	.	0.0	.	3965.1	.	0.0	.	0.0	.	0.0	.	0.0	.	10636.8	.	0.0	.	99032.7	37	111544.6	34	56384.6	39	0.0	.	0.0	.	0.0	.	9686.5	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	1691873.6	9
	lying living trees	0.0	.	0.0	.	0.0	.	9686.5	.	0.0	.	0.0	.	64190.9	45	37547.7	60	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	37742.9	71	130631.3	72	3823.0	100	45310.8	56	140735.0	68	189736.5	54	0.0	.	14578.1	100	0.0	.	20450.9	71	0.0	.	0.0	.	9351.1	100	0.0	.	0.0	.	0.0	.	10412.9	100	10478.7	100	0.0	.	0.0	.	22635.9	72	8853.1	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	10811.5	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	9544.0	100	51851.2	56	29437.6	58	10660.2	100	9851.2	100	4317.5	100	13084.2	100	32935.4	58	9851.2	100	0.0	.	9557.4	100	71809.6	87	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	105066.6	42	74723.6	61	60969.5	41	0.0	.	0.0	.	0.0	.	9686.5	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	1270322.5	16
	dead trees	93179.9	63	0.0	.	0.0	.	7749.2	.	91903.7	48	35403.9	76	1369494.2	18	376066.6	30	166975.4	51	170976.3	40	0.0	.	0.0	.	74062.0	67	0.0	.	12800.4	75	8853.1	.	264447.0	51	38953.6	91	0.0	.	449059.7	31	450571.3	24	273548.0	37	286901.4	39	1452604.8	18	787995.4	20	259599.7	34	71458.5	68	8853.1	100	415478.7	32	19146.3	100	21273.7	70	28053.4	100	0.0	.	43617.6	100	82356.2	42	159402.4	52	164824.4	37	0.0	.	154394.8	55	408597.6	34	147126.5	40	93202.0	46	0.0	.	21273.7	100	100286.3	68	29738.3	100	97212.4	55	109466.8	55	0.0	.	106479.8	69	0.0	.	0.0	.	0.0	.	99257.3	72	376633.0	45	61454.6	66	144458.9	40	347411.5	33	747056.3	36	331390.0	52	217582.9	38	339659.1	35	89134.0	43	30592.2	68	256209.2	41	168151.2	42	141993.2	44	290343.8	39	14670.1	100	0.0	.	14257.8	76	0.0	.	54219.3	71	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	8509.5	.	30119.3	100	1456709.1	17	471194.4	22	1093155.0	21	14578.1	.	48871.8	74	0.0	.	57693.3	61	4171.8	100	10703.4	.	0.0	.	0.0	.	0.0	.	15873568.6	5
	total	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
81-100 %	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	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	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	.	88485.0	86	0.0	.	0.0	.	135386.8	60	185810.3	72	2074091.5	22	158303.7	63	0.0	.	381136.6	53	0.0	.	0.0	.	55965.2	86	0.0	.	0.0	.	241431.8	.	197237.5	55	0.0	.	0.0	.	491612.5	39	625577.5	41	854767.2	38	1211301.5	30	2062185.3	21	951390.6	31	465030.7	56	133078.2	.	0.0	.	102046.6	100	0.0	.	0.0	.	0.0	.	0.0	.	17843.0	.	398436.6	51	139513.8	71	414125.9	53	70807.9	.	187432.6	62	669022.0	42	89314.6	.	539641.1	69	0.0	.	32300.1	78	41144.9	.	87234.6	82	143904.0	75	547733.1	51	104466.5	83	121274.9	71	0.0	.	0.0	.	0.0	.	524371.0	62	1128588.8	31	584589.6	42	699572.4	40	226631.1	91	813062.2	42	1093501.8	27	1098935.8	40	1159540.6	28	451318.8	55	119499.0	61	578121.8	45	231573.3	68	298096.8	50	250862.4	53	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	1895151.1	24	875108.6	31	2015091.2	21	0.0	.	0.0	.	0.0	.	23018.0	.	75554.9	.	0.0	.	0.0	.	0.0	.	0.0	.	28161223.5	6
	exposed wood core	0.0	.	77781.6	84	0.0	.	0.0	.	36449.4	62	56492.8	79	829991.6	25	29144.5	71	0.0	.	293080.1	60	0.0	.	0.0	.	133287.8	78	0.0	.	0.0	.	32179.1	.	100266.9	57	0.0	.	0.0	.	385213.2	41	83945.8	39	207090.4	41	248684.2	41	485380.8	26	196955.5	40	100116.6	59	23195.6	.	0.0	.	33321.3	100	0.0	.	0.0	.	0.0	.	0.0	.	11895.3	.	152028.6	70	52538.4	82	223521.8	66	35403.9	.	127037.6	60	312501.8	37	19847.7	.	141104.5	87	0.0	.	45888.3	91	89770.8	.	118955.1	71	148952.7	72	46628.6	79	66668.3	72	7208.5	100	0.0	.	0.0	.	0.0	.	50004.9	44	517466.3	33	133933.9	47	314575.0	42	129950.4	55	370509.4	39	429130.1	32	173407.2	44	424218.1	37	96813.2	60	13327.0	76	116485.1	50	113173.7	76	161676.6	60	152934.3	53	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	472143.8	23	161376.1	37	827849.8	28	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	9611504.1	7
	crack, woundwood rib	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	33542.4	52	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	18798.2	63	3823.0	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	.	4165.2	100	3736.7	100	0.0	.	40965.3	79	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	19702.3	100	9418.7	100	0.0	.	10793.8	100	9851.2	100	0.0	.	41702.8	50	29631.1	73	11066.7	100	0.0	.	0.0	.	21893.6	71	20112.1	100	9557.4	100	8853.1	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	.	30363.8	58	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	327977.5	20
	stem breakage	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	34272.4	67	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	28693.3	74	7645.9	100	13345.7	76	57344.6	85	81135.1	44	0.0	.	3965.1	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	20825.8	100	0.0	.	0.0	.	0.0	.	0.0	.	10056.1	100	0.0	.	60973.3	100	0.0	.	0.0	.	0.0	.	0.0	.	19264.2	71	4003.9	100	0.0	.	17492.4	100	0.0	.	0.0	.	0.0	.	0.0	.	30527.9	58	0.0	.	31006.2	76	0.0	.	9851.2	100	34818.0	76	19395.1	71	9909.4	100	10009.9	100	0.0	.	0.0	.	10056.1	100	10297.9	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	34044.6	53	13879.0	78	24778.0	59	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	597591.3	19
	defoliation >50%	0.0	.	10703.4	100	0.0	.	0.0	.	0.0	.	0.0	.	20036.1	71	0.0	.	0.0	.	9913.1	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	3736.7	100	13832.8	77	0.0	.	0.0	.	10752.5	100	0.0	.	4732.3	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	.	19428.8	100	29553.5	100	0.0	.	31438.7	75	10793.8	100	47719.9	100	14561.2	79	0.0	.	0.0	.	10009.9	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	19351.6	71	5414.2	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	261978.4	28
	canker	0.0	.	0.0	.	0.0	.	0.0	.	8853.1	100	4165.2	100	21426.5	60	4015.9	100	0.0	.	0.0	.	0.0	.	0.0	.	9912.8	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	32718.1	66	0.0	.	28931.9	58	0.0	.	31004.8	52	13950.3	77	10232.3	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	.	12375.8	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	9341.7	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	3767.5	100	0.0	.	0.0	.	9851.2	100	9851.2	100	3767.5	100	0.0	.	0.0	.	0.0	.	0.0	.	11184.1	100	4752.4	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	.	4022.4	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	234124.5	20
	bark necrosis	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.
	resinosis	0.0	.	0.0	.	0.0	.	0.0	.	22046.3	73	0.0	.	231699.1	29	15690.3	80	0.0	.	4254.7	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	21452.7	.	40611.8	62	0.0	.	0.0	.	48577.0	83	106453.4	69	36574.8	62	101449.1	44	387320.3	29	98835.9	47	21838.2	69	0.0	.	0.0	.	18743.3	100	0.0	.	0.0	.	0.0	.	0.0	.	3965.1	.	0.0	.	15935.6	100	0.0	.	0.0	.	0.0	.	59973.3	53	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	19826.2	100	33320.8	85	7732.7	71	0.0	.	0.0	.	0.0	.	0.0	.	9851.2	100	146658.0	37	7534.9	100	0.0	.	3940.5	100	0.0	.	19537.1	67	0.0	.	7534.9	71	106825.0	58	56336.6	60	205210.1	51	43842.0	72	14013.8	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	325081.2	32	150750.9	46	178452.3	39	0.0	.	0.0	.	0.0	.	8853.1	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	2580722.1	10
	inclusion	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	25191.3	58	3630.7	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	13078.4	77	0.0	.	0.0	.	0.0	.	0.0	.	86347.6	90	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	20957.3	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	9418.7	100	21587.5	100	4017.0	100	0.0	.	9851.2	100	0.0	.	0.0	.	4426.7	100	0.0	.	0.0	.	3823.0	100	0.0	.	0.0	.	12394.3	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	.	17680.5	63	0.0	.	44135.8	46	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	276540.0	33
	stag-headedness	0.0	.	42813.6	100	0.0	.	0.0	.	0.0	.	0.0	.	38229.3	50	0.0	.	0.0	.	9913.1	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	8853.1	100	0.0	.	0.0	.	9341.7	100	0.0	.	10056.1	100	0.0	.	29870.9	58	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	29208.8	77	0.0	.	0.0	.	0.0	.	9923.8	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	3940.5	100	0.0	.	60049.6	62	0.0	.	108210.6	67	64319.6	54	48969.7	81	137387.4	76	0.0	.	0.0	.	51223.5	81	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	19114.9	71	3823.0	100	19114.9	71	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	704363.8	23
	other type of damage	0.0	.	10703.4	100	0.0	.	0.0	.	0.0	.	0.0	.	73274.7	38	6029.8	100	0.0	.	0.0	.	0.0	.	0.0	.	19825.8	71	0.0	.	0.0	.	0.0	.	31666.0	71	0.0	.	0.0	.	14101.2	77	0.0	.	48576.6	51	23698.7	61	111112.3	46	3823.0	100	4732.3	100	11597.8	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	24301.3	62	0.0	.	4165.2	100	21950.1	56	0.0	.	46146.9	63	0.0	.	4254.7	100	0.0	.	9912.8	100	0.0	.	24961.3	85	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	10042.5	100	54622.6	50	0.0	.	13861.5	76	0.0	.	9851.2	100	58663.5	41	9544.0	100	75058.8	47	3823.0	100	0.0	.	11184.1	100	10056.1	100	55530.0	50	19331.8	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	.	52758.4	41	22937.8	61	50984.4	49	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	953083.4	12
	lying living trees	0.0	.	9686.5	100	0.0	.	0.0	.	0.0	.	0.0	.	18536.3	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	.	13294.1	77	0.0	.	0.0	.	9557.4	100	29197.3	55	10022.1	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	.	3740.4	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	69798.8	87	0.0	.	9544.0	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	11184.1	100	0.0	.	0.0	.	4191.5	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	.	39887.3	50	0.0	.	74906.1	43	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	303546.0	26
	dead trees	0.0	.	49546.0	74	0.0	.	0.0	.	23206.7	61	35403.9	100	831799.0	28	42660.1	66	0.0	.	51547.5	74	0.0	.	0.0	.	19825.8	71	0.0	.	0.0	.	64358.1	.	152021.4	51	0.0	.	0.0	.	148093.1	47	252399.6	38	100851.2	43	199226.2	34	580186.9	24	141226.8	39	70633.1	62	34793.5	.	0.0	.	67324.0	71	0.0	.	0.0	.	0.0	.	0.0	.	3965.1	.	14578.1	77	40254.1	82	36745.4	52	20825.8	.	49982.0	92	161355.7	50	0.0	.	75174.7	72	0.0	.	19825.5	100	28053.4	.	79304.4	88	78180.8	80	60717.7	66	85494.9	63	0.0	.	0.0	.	0.0	.	0.0	.	29005.1	58	235942.1	36	106858.1	56	152250.9	50	19702.3	100	454256.2	41	198585.4	39	178762.3	56	322777.7	39	93400.4	55	31699.7	100	118075.4	49	169682.6	64	38703.2	71	103546.6	47	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	438592.2	29	372804.0	40	963024.0	24	0.0	.	0.0	.	0.0	.	0.0	.	9686.5	.	0.0	.	0.0	.	0.0	.	0.0	.	7656915.2	8
	total	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
>100%	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	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	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	.	65512.9	.	0.0	.	851901.5	32	14578.1	.	0.0	.	89455.3	.	0.0	.	0.0	.	11895.3	.	0.0	.	0.0	.	0.0	.	121377.5	100	0.0	.	0.0	.	154511.6	55	88086.7	89	90578.2	61	375301.1	36	1077405.8	27	531672.7	39	23629.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	88164.4	.	95665.2	68	0.0	.	92454.8	89	0.0	.	0.0	.	653005.3	51	42821.5	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	237233.9	56	5168.9	.	47806.7	.	0.0	.	0.0	.	0.0	.	96578.5	56	309107.2	47	595357.5	41	465652.8	47	25031.9	100	0.0	.	766825.5	34	87747.9	89	366586.8	55	112627.9	100	0.0	.	129404.9	64	13664.5	.	0.0	.	195858.4	90	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	554856.5	34	243428.9	64	848815.6	36	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	9569771.4	10
	exposed wood core	0.0	.	0.0	.	0.0	.	0.0	.	12394.3	.	0.0	.	423218.4	38	102046.6	.	0.0	.	62969.1	.	0.0	.	0.0	.	51546.3	.	0.0	.	0.0	.	0.0	.	26267.2	67	0.0	.	0.0	.	51187.8	71	68067.0	82	29811.4	52	100032.7	39	392510.8	31	133823.5	40	75472.5	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	121896.2	57	0.0	.	18942.8	100	0.0	.	0.0	.	299678.6	47	288367.6	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	271492.7	41	58451.8	.	70824.8	.	0.0	.	0.0	.	0.0	.	120623.1	71	165949.9	56	43637.8	73	169129.8	35	20050.9	73	0.0	.	415542.3	34	144861.2	56	429995.2	47	4696.8	100	0.0	.	110258.1	68	0.0	.	0.0	.	331355.5	75	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	180215.5	37	37058.7	77	302443.7	47	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	5134820.8	12
	crack, woundwood rib	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	4119.2	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	.	10056.1	100	7349.8	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	12277.3	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	12313.3	100	0.0	.	9418.7	100	0.0	.	0.0	.	0.0	.	0.0	.	9963.1	100	28688.5	74	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	94185.9	35
	stem breakage	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	13078.4	77	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	9341.7	100	20019.7	100	0.0	.	10009.9	100	59110.1	42	10206.1	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	15161.1	75	0.0	.	0.0	.	0.0	.	0.0	.	18899.2	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	.	9544.0	100	0.0	.	47093.4	82	0.0	.	0.0	.	0.0	.	32574.8	86	9544.0	100	0.0	.	0.0	.	0.0	.	4521.4	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	.	13682.5	76	10424.8	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	283211.1	23
	defoliation >50%	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	11066.7	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	4165.2	100	0.0	.	0.0	.	0.0	.	0.0	.	3855.6	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	.	15270.4	100	0.0	.	10403.1	100	12515.9	100	0.0	.	0.0	.	0.0	.	33494.0	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	90771.0	46
	canker	0.0	.	0.0	.	0.0	.	0.0	.	3541.2	.	0.0	.	23120.0	83	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	11738.9	100	0.0	.	0.0	.	13975.5	100	8007.9	100	3736.7	100	10009.9	100	0.0	.	4119.2	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	.	8853.1	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	12928.9	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	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	100031.2	33
	bark necrosis	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	32640.1	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	.	32640.1	100
	resinosis	0.0	.	0.0	.	0.0	.	0.0	.	7082.5	.	0.0	.	206388.1	35	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	5079.6	100	0.0	.	0.0	.	33872.1	62	4003.9	100	4008.8	100	123048.6	44	170026.6	50	17092.4	71	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	4232.0	100	0.0	.	0.0	.	40051.7	79	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	26691.3	76	0.0	.	8853.1	.	0.0	.	0.0	.	0.0	.	10042.5	100	0.0	.	33200.4	77	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	60485.8	62	0.0	.	0.0	.	46386.9	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	103867.6	49	31274.5	100	68670.0	48	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	1004358.5	16
	inclusion	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	4165.2	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	25399.7	61	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	4165.2	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	.	20065.9	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	.	9387.8	70	0.0	.	0.0	.	4003.9	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	4003.9	100	0.0	.	20043.6	66	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	91235.3	29
	stag-headedness	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	10412.9	.	0.0	.	14207.4	.	0.0	.	0.0	.	3965.1	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	12319.7	100	20019.7	100	0.0	.	0.0	.	27070.6	58	10297.9	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	9894.3	100	0.0	.	0.0	.	0.0	.	0.0	.	9557.4	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	3826.9	100	11931.4	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	17179.2	100	0.0	.	107288.0	69	12515.9	100	0.0	.	55225.1	71	61439.7	74	63334.9	81	0.0	.	0.0	.	20595.8	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	20019.7	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	491101.5	24
	other type of damage	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	37064.3	60	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	23477.7	100	0.0	.	0.0	.	13975.5	100	24023.6	100	14078.5	100	5077.6	100	41045.6	45	20032.6	71	9521.7	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	18743.3	100	0.0	.	0.0	.	0.0	.	0.0	.	3736.7	100	36831.9	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	10009.9	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	41443.7	60	0.0	.	4079.3	100	9965.6	100	7534.9	100	0.0	.	42716.3	46	0.0	.	9418.7	100	0.0	.	0.0	.	4521.4	100	0.0	.	0.0	.	7670.9	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	27811.6	54	0.0	.	18320.5	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	431101.8	19
	lying living trees	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	4119.2	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	.	20112.1	100	0.0	.	15684.3	77	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	20957.3	100	0.0	.	0.0	.	10297.9	100	12277.3	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	20044.2	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	9418.7	100	0.0	.	0.0	.	0.0	.	0.0	.	11066.7	100	43007.4	62	10051.0	100	0.0	.	20595.8	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	60741.8	52	15396.1	100	43460.4	77	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	317230.3	23
	dead trees	0.0	.	0.0	.	0.0	.	0.0	.	26559.3	.	0.0	.	350597.4	35	4165.2	.	0.0	.	34554.3	.	0.0	.	0.0	.	9912.8	.	0.0	.	0.0	.	0.0	.	47371.1	100	0.0	.	0.0	.	66679.8	53	44043.3	75	56250.6	67	166330.3	46	162931.3	38	94731.9	58	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	31241.0	.	113525.5	56	0.0	.	77744.1	87	0.0	.	0.0	.	155568.4	50	24554.6	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	152305.8	61	5168.9	.	8853.1	.	0.0	.	0.0	.	0.0	.	12313.3	100	35538.8	79	143397.5	48	147520.8	62	99711.1	73	0.0	.	166555.9	50	73888.9	78	165061.8	59	10051.0	100	0.0	.	100314.5	64	13664.5	.	0.0	.	49571.9	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	.	201048.6	44	29539.7	74	218382.8	37	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	3099649.7	11
	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	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	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	4210449.5	17	3294388.5	17	2715746.1	18	3705712.7	16	2300985.1	22	3744461.3	18	19418471.3	8	12110316.3	8	13338155.0	8	9831970.2	10	792810.0	26	1753987.8	22	2623186.6	17	37668.5	.	1398515.1	23	3716736.8	18	5253134.1	15	3967550.6	17	618498.6	37	4905586.0	14	7063390.4	11	6200929.7	12	10598548.7	11	16152048.8	8	16502016.7	8	11389760.9	9	4335840.5	17	4506001.1	15	6263259.6	13	1610961.3	23	2646698.8	18	1248867.4	26	1242937.8	24	3061319.9	20	2462806.7	24	3042731.4	21	4996954.8	17	3020981.6	18	3011032.4	21	5131536.7	15	2811117.7	18	4595628.0	15	4198825.8	15	2710560.8	19	2546857.4	20	1707023.8	23	2794057.9	17	4172848.8	16	3245893.8	17	2604968.6	19	2899833.2	19	2258640.3	21	3239821.6	20	2197814.5	24	4803226.7	15	3301908.7	16	3964788.6	17	3561927.3	18	6051633.6	14	7539377.4	12	4451658.7	17	4716480.9	15	1937988.6	25	1238748.8	27	1948441.5	22	2483326.3	20	2131866.9	22	4188848.1	18	1975046.4	23	742017.6	36	3696332.9	20	1102905.8	27	1569782.5	29	3357119.0	17	2430553.2	22	2408669.3	20	2468914.6	18	1427712.6	31	996304.2	30	446618.9	42	1222221.6	28	13941482.1	8	10229351.1	10	12826437.2	9	2081149.6	22	1835453.0	25	1938518.3	19	2717105.9	19	2955415.5	16	1573851.7	23	1342230.1	24	1699170.0	23	0.0	.	385515432.3	1
	exposed wood core	550339.0	18	435315.6	24	188692.0	29	486755.7	26	360757.8	43	257870.6	27	3618412.2	10	1878608.8	13	1382749.1	11	2344238.8	14	148035.7	32	318504.7	23	704648.5	28	0.0	.	260959.0	28	381756.4	26	834764.0	20	481244.8	21	54334.4	59	1244536.5	19	1076553.0	16	765525.6	18	1289558.2	17	3152316.7	12	2236317.8	11	2300645.4	11	519775.3	20	598166.7	20	886445.8	18	236666.4	28	358869.5	28	176592.5	32	182365.1	32	357048.6	23	559396.0	26	321940.4	25	913933.8	26	346737.3	29	741836.0	29	1119189.4	20	882993.1	38	862341.2	25	385980.9	22	399036.8	24	543103.0	25	307203.3	33	605638.4	25	784247.3	21	494860.8	24	237866.3	39	404976.1	30	136586.5	31	214858.8	29	479629.0	29	1298378.4	18	690117.5	23	1149918.3	21	1363201.4	18	1890692.2	16	1672180.1	15	1251472.6	19	1573051.5	19	585003.0	30	357280.0	38	491053.5	26	586497.0	29	663691.3	34	982479.1	31	256176.4	28	25234.7	53	590840.3	23	170414.7	40	123508.6	36	289034.1	24	298253.9	30	506783.7	30	246144.8	27	88261.6	39	107875.7	40	80151.1	66	85594.1	42	2380524.8	10	1516483.1	13	2892950.7	12	254709.9	27	247398.6	30	289259.7	25	456036.0	25	191101.9	25	148119.5	34	167070.8	32	164544.7	26	0.0	.	66943214.2	2
	crack, woundwood rib	0.0	.	0.0	.	3874.6	100	23388.9	85	4183.7	100	10412.9	100	142142.8	30	46894.1	44	16919.4	62	0.0	.	0.0	.	0.0	.	13878.3	100	0.0	.	0.0	.	10171.6	100	20102.8	67	18893.8	62	0.0	.	60846.3	44	59191.1	47	33957.2	52	104661.8	35	165500.8	27	191637.3	38	39372.3	44	0.0	.	37232.4	69	30886.4	58	0.0	.	0.0	.	4254.7	100	11582.9	100	0.0	.	8853.1	100	20957.3	70	38792.0	47	13702.4	77	19304.2	66	31337.6	50	84762.3	38	87502.0	44	3965.1	100	14167.8	76	3965.2	100	3874.6	100	3965.1	100	52504.8	50	25310.2	61	15763.0	78	0.0	.	0.0	.	4015.9	100	41866.8	60	43900.9	46	51163.9	40	69175.5	46	51534.5	42	35323.7	52	94494.4	35	108331.1	40	68876.3	42	14129.0	77	23118.8	61	29539.5	58	20112.1	100	23859.3	61	64791.4	38	0.0	.	0.0	.	10636.8	100	14664.2	78	0.0	.	0.0	.	9913.1	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	13566.3	76	76123.2	46	110150.7	37	10078.6	71	0.0	.	3874.6	100	23600.9	61	24095.4	85	0.0	.	19726.3	71	9686.5	100	0.0	.	2549062.7	7
	stem breakage	78173.0	41	18195.7	64	4015.9	100	55203.8	41	23591.4	61	23967.1	59	266726.7	23	180637.0	29	121758.8	42	85213.0	38	28615.0	74	51731.7	54	29176.6	58	0.0	.	21645.7	61	18927.3	71	36591.8	50	47962.1	47	0.0	.	70753.1	41	113188.3	35	75378.0	39	325818.0	27	409862.3	19	205161.4	22	257907.2	26	53499.3	44	33269.0	53	74260.9	38	29901.1	58	21273.7	70	23004.3	71	0.0	.	31186.8	58	67452.8	49	17706.2	71	55344.7	51	39356.9	61	50642.0	54	68362.7	48	28914.5	58	113710.2	57	29176.6	58	59928.0	52	44729.8	51	27687.9	74	63773.3	42	20702.4	54	25310.2	61	90443.0	59	19726.3	71	10039.8	100	20389.9	71	71738.3	45	111558.6	34	147970.9	39	102101.5	42	30188.9	58	84869.7	43	267489.8	27	79000.6	35	106628.5	32	33480.6	52	49144.4	67	24161.0	61	28955.2	58	33020.0	52	29275.9	58	22231.8	71	0.0	.	10636.8	100	10703.4	100	20056.0	71	9913.1	100	0.0	.	22576.9	61	21649.7	61	63011.9	86	0.0	.	9913.1	100	4015.9	100	211141.0	29	113171.2	32	221693.7	23	29678.9	76	3874.6	100	0.0	.	20079.5	100	46332.2	43	30076.5	58	10039.8	100	9686.5	100	0.0	.	5760059.8	5
	defoliation >50%	39605.9	60	22539.3	71	4015.9	100	0.0	.	26076.8	75	0.0	.	69863.3	37	38542.0	56	14258.4	79	37606.6	48	0.0	.	0.0	.	0.0	.	0.0	.	10640.0	100	22807.3	62	24093.3	57	28119.1	73	0.0	.	20905.3	55	106879.8	39	40466.1	79	30784.5	62	141918.5	32	27390.3	58	32263.8	49	9899.4	100	44437.8	100	17706.2	100	7995.2	71	10636.8	100	0.0	.	10636.8	100	14167.8	76	7706.4	71	19331.8	71	13748.9	76	60238.5	100	4165.2	100	31880.8	67	22942.1	61	11270.4	100	0.0	.	0.0	.	9351.1	100	0.0	.	9912.8	100	79949.8	89	17706.2	100	10640.0	100	28706.4	58	0.0	.	20079.5	100	9418.7	100	32706.6	58	48331.7	51	216457.0	63	243596.4	34	192676.1	42	10793.8	100	110074.1	51	349340.7	55	0.0	.	0.0	.	35789.0	59	18899.2	71	18683.5	100	20534.7	71	0.0	.	0.0	.	21273.7	100	31778.0	85	30726.5	65	3965.2	100	0.0	.	0.0	.	9686.5	100	0.0	.	0.0	.	0.0	.	0.0	.	44185.5	57	110008.3	34	15424.0	74	8804.3	71	0.0	.	3874.6	100	0.0	.	0.0	.	17775.1	100	38746.1	100	4281.4	100	0.0	.	2849716.9	11
	canker	31470.4	49	32954.9	89	37656.5	48	24527.3	53	64251.1	44	43734.3	56	140751.4	26	140123.8	26	125541.7	31	130084.0	37	18702.2	71	22635.8	54	56557.3	46	0.0	.	20485.4	71	19230.7	62	44200.3	46	41256.5	55	0.0	.	68494.3	42	59878.1	61	87236.0	32	54000.9	47	233421.4	24	211241.5	31	179602.3	29	81243.6	55	49788.5	38	99628.8	41	3965.1	100	19146.3	64	0.0	.	17860.6	71	53573.8	43	36542.3	53	3541.2	100	45527.7	43	14719.3	78	21247.4	72	71900.5	35	51654.3	43	121218.9	28	13653.2	78	56581.8	41	13929.0	77	0.0	.	36630.1	50	36135.7	53	47089.5	45	60044.8	40	29766.0	58	0.0	.	13702.4	77	20417.6	61	18501.7	65	44202.7	76	38972.2	50	75006.9	39	30496.1	58	53595.2	38	33240.5	52	69854.1	40	0.0	.	0.0	.	25216.4	62	42582.3	44	23100.0	71	24739.0	61	27156.5	54	0.0	.	25818.7	48	17449.8	61	0.0	.	13878.0	77	33557.0	58	0.0	.	0.0	.	8603.6	100	8887.6	100	4254.7	100	9686.5	100	21392.5	61	39116.4	44	130249.8	36	41789.6	62	9686.5	100	7570.9	71	46079.6	51	4015.9	100	0.0	.	11906.4	58	0.0	.	0.0	.	3848153.7	6
	bark necrosis	0.0	.	3895.3	100	7749.2	71	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	8887.6	100	0.0	.	0.0	.	22442.7	100	3740.4	100	0.0	.	0.0	.	0.0	.	4256.0	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	3736.7	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	.	4015.9	100	0.0	.	0.0	.	0.0	.	3541.2	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	4256.0	100	0.0	.	4321.5	100	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	0.0	.	3767.5	100	0.0	.	32640.1	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	.	10478.7	100	0.0	.	0.0	.	10039.8	100	0.0	.	0.0	.	0.0	.	9686.5	100	0.0	.	137455.2	34
	resinosis	9351.1	100	135311.0	36	161684.8	27	107307.7	34	95225.9	32	63175.4	46	2043875.8	11	667633.6	16	635092.4	19	210581.0	25	44026.1	55	51382.9	68	19263.9	71	0.0	.	103392.3	40	249120.9	29	360858.7	26	135779.0	50	0.0	.	331604.0	23	1207797.9	15	441233.8	18	844690.9	15	2467102.3	10	1136225.9	13	411604.9	21	125121.0	31	277628.9	28	273591.8	23	28335.7	73	115101.2	44	45826.1	43	75527.0	58	106557.2	31	129368.7	45	227353.0	27	158736.8	29	143917.0	33	66469.6	37	258196.7	24	45210.2	60	55999.3	44	162452.9	44	89461.8	43	50640.9	46	56798.7	49	41634.6	56	228940.4	29	84271.5	32	47838.5	41	132381.1	29	75411.6	46	82634.8	39	125497.0	34	323135.7	23	200339.7	32	0.0	.	19433.9	82	7880.9	100	108841.1	43	33240.5	52	55306.8	73	198691.5	36	216099.7	40	370323.5	32	172541.2	32	177754.8	28	235632.8	32	54668.5	57	18737.6	82	86426.0	45	64465.3	52	52408.2	48	149874.1	27	129472.6	39	103280.5	34	102260.2	34	30768.4	71	12903.5	76	3965.2	100	37647.7	54	1732761.7	13	1617386.0	13	1153708.8	14	111310.6	42	70658.0	49	83739.9	40	138171.9	57	144418.2	29	52731.1	42	95273.9	53	140404.3	51	0.0	.	23550890.7	3
	inclusion	3740.4	100	0.0	.	4015.9	100	0.0	.	3969.5	100	68719.6	43	412923.1	28	111367.4	36	12547.1	58	149375.1	46	20903.3	100	0.0	.	34532.7	62	3965.1	.	5376.1	100	0.0	.	117394.6	53	17930.3	81	7749.2	100	78005.2	46	36591.8	47	51097.3	44	36323.5	54	137470.6	29	180292.9	52	230643.2	47	0.0	.	14578.1	100	104756.9	43	13653.5	78	32177.7	58	0.0	.	11582.9	100	57991.2	58	25218.1	61	3541.2	100	20255.6	71	14573.2	77	12394.3	100	4508.2	100	49014.9	77	147654.2	43	7930.2	71	0.0	.	3874.6	100	0.0	.	11278.9	100	52787.0	51	84479.6	63	18861.6	100	0.0	.	0.0	.	0.0	.	3817.6	100	98415.1	42	63487.5	52	40673.0	65	38477.0	69	98590.2	46	24631.8	71	35980.2	90	23665.7	53	44218.7	69	0.0	.	11649.9	58	88814.9	72	45419.0	51	177994.4	54	41590.8	65	0.0	.	16844.7	72	8887.6	100	0.0	.	39979.7	63	46308.7	58	17736.8	60	0.0	.	0.0	.	10039.8	100	0.0	.	0.0	.	189088.8	38	196024.6	39	143382.4	33	0.0	.	7839.6	100	5022.1	100	35734.8	76	8887.6	100	0.0	.	14055.7	77	0.0	.	0.0	.	3993304.4	8
	stag-headedness	67704.4	56	69572.1	64	33640.6	67	29284.7	58	8853.1	100	10412.9	100	153273.2	25	144018.5	34	60814.1	41	112557.1	30	3740.4	100	54553.5	45	67872.4	45	0.0	.	72732.1	67	10039.8	100	48945.0	45	40271.3	49	3874.6	100	41013.0	50	43422.2	57	65257.7	46	61778.3	63	236845.3	22	128504.6	31	180972.3	28	22447.9	62	13044.6	75	122938.3	31	47209.4	66	10636.8	100	18702.2	100	9351.1	100	39813.5	61	20534.3	71	65760.6	45	119476.3	45	60238.5	85	45206.4	80	53907.1	48	30214.3	64	10412.9	100	75370.6	58	34745.5	52	10137.6	100	9351.1	100	66058.9	43	35903.1	53	60520.6	46	0.0	.	20191.3	71	0.0	.	9686.5	100	61087.9	45	83091.1	37	96898.8	41	317049.0	32	125535.9	31	507854.5	29	263901.9	32	358427.2	33	396388.4	35	0.0	.	51570.3	53	87542.4	56	0.0	.	20065.9	71	9557.4	100	9686.5	100	28478.5	73	51629.2	45	28800.1	54	38196.3	78	19826.2	71	19826.2	100	39883.2	50	19726.3	71	18927.3	71	0.0	.	0.0	.	0.0	.	237915.0	29	106787.5	35	53615.3	36	0.0	.	0.0	.	19726.3	71	20079.5	71	20079.5	71	0.0	.	9686.5	100	0.0	.	0.0	.	5883652.8	6
	other type of damage	87597.6	45	40299.7	54	11445.5	58	36610.0	61	10720.9	73	32284.3	65	391657.7	18	136966.9	30	77743.3	30	116095.4	34	8907.6	71	52980.1	52	114791.9	52	0.0	.	24244.7	85	19024.1	71	97243.6	38	49842.3	42	3964.4	100	79694.3	35	144542.8	30	192802.8	24	236854.8	26	420327.5	19	311680.8	21	191446.0	26	52940.3	45	42086.7	46	42205.5	41	40607.3	50	9913.1	100	22082.8	57	0.0	.	51945.8	68	36862.6	60	24659.9	62	89611.0	47	37904.8	50	25366.5	57	187341.8	31	70129.6	58	100574.6	38	49637.1	42	40319.9	61	41634.9	57	35195.3	45	13877.9	77	66262.3	43	32843.2	53	103488.2	61	105355.7	48	3874.6	100	22590.0	61	82151.8	42	121440.2	35	66361.5	33	107636.2	38	104235.6	36	145930.2	35	278608.7	22	46352.0	57	194559.1	29	25042.9	54	52164.9	92	56519.3	49	64777.8	47	111270.9	32	84423.9	37	12869.0	76	52584.3	52	71068.3	42	21055.0	59	0.0	.	12254.5	58	26497.7	54	13316.2	76	7890.5	71	18927.3	71	4015.9	100	10636.8	100	4015.9	100	280487.0	20	226019.5	22	213884.1	25	4256.0	100	0.0	.	28259.5	55	40540.5	61	21592.9	68	29748.9	44	4015.9	100	10039.8	100	0.0	.	6894531.0	4
	lying living trees	3965.1	100	19726.3	71	0.0	.	19726.3	71	8853.1	100	8330.3	100	135168.3	28	58666.4	46	4015.9	100	22325.6	100	13091.6	77	0.0	.	9351.1	100	0.0	.	8853.1	100	20825.8	71	0.0	.	10640.0	100	0.0	.	51037.0	56	130631.3	72	41899.3	56	156056.8	33	280271.6	38	417040.5	31	9351.1	100	74121.2	83	10039.8	100	31090.9	58	9913.1	100	4254.7	100	9351.1	100	9351.1	100	0.0	.	0.0	.	36972.2	60	31436.0	74	21284.3	71	0.0	.	95582.3	51	29983.5	58	21052.9	71	0.0	.	0.0	.	0.0	.	0.0	.	14551.9	79	28897.3	76	14896.0	100	0.0	.	20118.0	100	0.0	.	0.0	.	76659.0	43	147277.9	49	48400.3	45	73700.7	60	67760.4	67	35756.2	67	22628.2	72	44002.1	50	62709.7	48	10051.0	100	9557.4	100	124185.4	56	0.0	.	19567.3	71	14670.1	77	11818.8	100	9686.5	100	10636.8	100	0.0	.	0.0	.	0.0	.	0.0	.	19263.9	71	3906.0	100	0.0	.	0.0	.	0.0	.	0.0	.	266643.6	24	143532.5	38	349144.7	30	0.0	.	0.0	.	0.0	.	27461.6	74	4015.9	100	0.0	.	19726.3	71	0.0	.	0.0	.	3515485.8	9
	dead trees	357110.0	26	219252.3	30	88365.2	38	291193.9	22	258241.4	30	539102.5	24	4670335.6	10	1223370.5	15	971009.2	16	1004678.3	17	135787.1	41	229717.2	37	344131.0	26	0.0	.	238692.5	40	500314.3	32	911590.9	23	490821.4	25	97062.3	47	1029532.8	19	1100625.7	15	843412.4	18	1824190.8	15	3574761.4	11	2484374.5	14	1458623.7	13	549119.7	27	392946.7	23	1741718.5	20	154208.0	33	96529.4	41	104539.6	39	11582.9	100	306722.1	28	327174.3	28	603695.9	26	618240.8	22	311437.9	32	419087.3	29	1117567.8	18	363838.3	29	485008.6	23	293597.9	25	117924.6	37	288822.1	32	184862.6	45	463188.8	24	531087.0	26	553158.0	35	405905.8	29	126436.1	39	140218.2	40	110779.6	43	531109.5	28	872442.3	23	637292.7	23	664153.2	24	981654.4	24	2231254.2	18	1241769.5	21	845453.6	25	1194781.1	19	214089.3	31	132439.4	43	606447.7	25	554775.4	27	379974.5	25	682365.3	22	240382.3	32	137267.1	49	424456.2	24	121065.2	50	192141.2	35	259630.9	31	319824.5	37	288647.1	28	290066.6	28	117698.1	42	130656.3	49	33314.2	59	144282.8	39	3345538.6	11	2035692.6	15	3390924.0	12	224022.2	28	125724.8	41	208940.9	25	324410.8	29	190257.1	32	130142.8	31	47845.3	47	144418.2	32	0.0	.	60343047.7	2
	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. 2289668. Birmensdorf, Swiss Federal Research Institute WSL

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