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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NFI5
number of stems (standing living trees) with microhabitat
microhabitats (20 classes) · ownership (2 categories)
regional demarcation: forest district (2024)
unit: n/ha
evaluation area: accessible forest without shrub forest NFI1-NFI5
grid: 1.4 km grid, subgrids 1-5
state 2018/26
		forest district (2024)
		AG01		AG02		AG03		AG04		AI01		AR01		BE01		BE02		BE03		BE04		BSBL01		BSBL02		BSBL03		BSBL04		FR01		FR02		FR03		FR04		GE01		GL01		GR01		GR02		GR03		GR04		GR05		JU01		LU01		LU02		LU03		NE01		NE02		NE03		NE04		NE06		NW01		OW01		OW02		SG01		SG02		SG03		SG04		SG05		SH01		SO01		SO02		SO03		SO04		SZ01		SZ02		SZ03		TG01		TG02		TG03		TI01		TI02		TI03		TI04		TI05		TI06		TI07		TI08		TI09		UR01		UR02		UR03		VD02		VD03		VD04		VD05		VD06		VD07		VD08		VD09		VD11		VD12		VD14		VD15		VD16		VD18		VD20		VD22		VS01		VS02		VS03		ZG01		ZH01		ZH02		ZH03		ZH04		ZH05		ZH06		ZH07		lakes		Switzerland
microhabitats (20 classes)	ownership (2 categories)	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%	n/ha	±%
n/a	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	public	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	private	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
woodpecker breeding cavity	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	.
	public	1	98	0	.	3	97	1	98	0	.	0	.	1	98	0	.	0	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	99	0	99	0	100	1	57	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	98	0	.	3	97	0	.	0	.	0	.	3	65	0	.	0	.	0	.	0	.	0	.	1	98	0	.	2	94	3	96	0	.	0	.	0	.	0	.	5	89	0	.	3	98	3	66	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	97	0	.	0	.	3	93	0	.	0	.	0	.	1	70	1	99	1	70	0	.	0	.	2	95	0	.	0	.	0	.	2	96	0	.	0	.	0	19
	private	0	.	3	91	0	.	0	.	0	.	0	.	0	57	0	99	0	.	0	.	0	.	0	.	2	94	0	.	0	.	0	.	0	.	5	74	0	.	0	.	1	97	0	.	1	97	0	.	0	.	1	98	0	.	1	68	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	86	17	82	5	75	0	.	0	.	0	.	0	.	0	.	0	.	5	85	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	86	0	.	0	.	0	.	0	.	0	.	2	98	0	.	0	.	0	.	3	94	1	98	0	.	0	.	0	.	0	.	0	.	1	23
	total	1	99	1	98	3	97	1	99	0	.	0	.	1	50	0	100	0	100	0	.	0	.	0	.	1	98	0	.	0	.	0	.	0	.	3	76	0	.	0	.	0	99	0	99	1	70	0	100	0	57	0	100	0	.	1	69	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	0	.	0	.	1	98	0	.	3	97	0	.	0	.	0	.	2	67	0	.	3	72	0	.	0	.	0	.	1	98	0	.	1	98	1	99	2	99	2	98	2	77	0	.	3	94	0	.	2	98	2	67	0	.	2	96	0	.	0	.	0	.	0	.	0	.	3	97	0	.	4	97	2	96	0	.	0	.	0	.	0	70	1	70	0	70	0	.	0	.	2	67	1	99	0	.	0	.	1	97	0	.	0	.	1	15
cavity (<5 cm depth)	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	.
	public	2	75	1	98	3	97	1	98	2	96	2	96	4	51	0	.	1	57	3	47	0	.	2	96	10	54	0	.	5	95	0	.	2	98	0	.	0	.	9	33	2	65	2	79	2	60	6	32	2	40	2	75	3	97	2	95	0	.	5	95	0	.	0	.	0	.	0	.	8	67	0	.	7	61	13	78	2	94	11	41	0	.	10	65	3	79	2	97	5	51	5	56	9	65	6	84	0	.	1	96	50	82	0	.	6	71	3	97	6	41	8	70	3	73	55	48	26	44	9	42	11	46	12	59	0	.	5	89	7	66	6	98	1	97	11	55	0	.	0	.	5	69	3	93	0	.	2	97	4	96	6	67	1	97	0	.	0	.	0	.	0	.	1	39	8	41	7	56	10	95	0	.	0	.	0	.	0	.	0	.	0	.	6	71	0	.	4	10
	private	8	46	0	.	0	.	0	.	4	91	4	96	5	29	1	61	3	40	0	.	0	.	0	.	2	94	0	.	0	.	9	56	4	97	7	66	0	.	25	82	2	67	0	.	3	97	12	95	31	93	11	55	6	57	0	.	3	63	5	88	0	.	0	.	0	.	0	.	10	63	0	.	0	.	5	95	0	.	4	64	3	93	0	.	17	58	0	.	0	.	0	.	28	91	18	58	4	93	0	.	5	74	0	.	2	66	0	.	6	86	10	67	0	.	13	41	22	46	20	86	17	82	23	57	11	63	0	.	0	.	0	.	9	92	0	.	0	.	0	.	10	90	20	.	0	.	0	.	0	.	25	71	0	.	13	86	0	.	0	.	0	.	2	68	3	54	9	95	0	.	0	.	0	.	0	.	6	66	0	.	0	.	3	90	0	.	5	12
	total	4	46	1	98	3	97	1	99	3	66	3	74	5	25	1	62	2	34	2	47	0	.	1	97	7	50	0	.	4	96	4	59	3	69	4	68	0	.	11	37	2	49	2	79	2	53	6	32	4	55	4	46	5	50	1	98	2	63	5	72	0	.	0	.	0	.	0	.	9	47	0	.	6	61	8	62	1	97	9	37	1	98	3	69	5	51	2	97	5	51	4	57	14	61	8	54	1	98	1	98	23	74	0	.	4	53	3	98	6	38	8	62	2	74	27	37	23	33	10	38	12	40	17	42	4	69	3	94	5	67	5	98	4	78	6	59	0	.	0	.	6	56	5	61	0	.	2	98	3	97	8	53	1	98	5	95	0	.	0	.	0	.	2	34	6	37	7	49	8	96	0	.	0	.	0	.	3	68	0	.	0	.	5	59	0	.	5	8
cavity (>5 cm depth)	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	.
	public	2	72	4	78	2	67	2	55	0	.	0	.	1	98	2	73	2	43	7	30	8	95	3	65	8	65	0	.	7	95	0	.	2	69	3	97	0	.	4	39	5	44	1	99	4	42	3	42	1	41	4	59	0	.	3	97	6	93	2	95	10	64	0	.	0	.	0	.	0	.	3	98	10	43	2	95	2	96	6	45	14	63	8	54	2	98	5	51	14	84	14	61	10	66	3	54	2	97	2	94	25	92	0	.	2	95	2	66	8	39	8	48	6	53	37	49	13	44	14	46	2	98	12	50	0	.	5	89	3	65	8	70	12	56	8	72	0	.	0	.	3	56	14	93	0	.	0	.	3	66	1	97	0	.	3	93	0	.	0	.	0	.	3	54	3	46	5	34	0	.	2	95	2	95	3	92	3	97	5	72	4	96	10	62	0	.	4	9
	private	8	63	0	.	0	.	0	.	4	91	4	96	5	32	1	70	3	44	4	71	0	.	0	.	0	.	0	.	0	.	8	56	5	69	0	.	0	.	32	70	4	46	0	.	10	97	6	95	0	.	12	44	0	.	0	.	5	64	0	.	5	95	0	.	0	.	3	66	14	49	0	.	19	91	17	48	2	94	4	64	12	60	1	98	0	.	0	.	50	.	0	.	28	65	0	.	4	93	3	93	10	53	3	96	0	.	0	.	0	.	68	67	36	30	22	32	45	34	13	86	33	82	27	50	20	61	0	.	7	81	0	.	10	69	3	93	5	88	0	.	10	90	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	87	1	98	20	58	0	.	0	.	0	.	1	98	3	97	4	90	19	71	0	.	0	.	7	11
	total	3	49	3	79	2	67	2	56	1	96	2	98	4	31	2	51	2	31	6	28	6	96	3	66	5	67	0	.	5	96	4	59	3	51	1	99	0	.	9	47	5	35	0	99	5	53	4	39	1	41	6	37	0	.	1	99	5	53	1	97	7	54	0	.	0	.	2	68	8	53	3	98	11	40	11	48	2	67	5	38	13	47	3	51	1	99	5	51	16	72	12	62	15	48	2	55	2	68	2	67	16	63	2	98	1	98	2	66	7	40	13	49	8	42	27	29	34	31	14	43	6	73	19	38	7	69	3	94	4	52	6	71	12	45	6	59	1	97	0	.	5	50	12	94	0	.	0	.	2	67	1	98	0	.	2	95	0	.	0	.	0	.	4	48	2	43	7	32	0	.	1	96	1	97	1	68	3	69	5	60	6	67	6	65	0	.	5	7
damage from insects	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	.
	public	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	99	0	99	0	.	0	.	2	96	0	.	0	.	13	67	1	97	1	99	0	.	0	.	0	.	0	99	3	68	0	.	1	36	1	62	1	76	0	.	2	95	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	70	0	.	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	0	.	2	95	0	.	0	.	1	98	0	.	0	.	0	.	0	.	0	.	1	97	0	.	0	.	1	96	1	97	0	.	0	.	0	.	0	.	2	68	0	.	0	.	4	78	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	43	2	63	1	80	0	.	0	.	0	.	0	.	0	.	2	96	0	.	0	.	0	.	1	17
	private	0	.	0	.	0	.	0	.	0	.	0	.	3	49	1	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	97	0	.	0	.	0	.	0	.	1	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	92	0	.	0	.	0	.	0	.	0	.	0	.	4	89	0	.	0	.	0	.	0	.	0	.	0	.	16	88	2	54	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	29
	total	0	.	0	.	0	.	0	.	0	.	0	.	2	49	1	60	0	100	0	.	0	.	1	97	0	.	0	.	11	69	3	79	1	99	0	.	0	.	0	.	1	70	2	68	0	.	1	37	1	62	1	76	0	.	1	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	2	72	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	1	98	0	.	0	.	1	98	0	.	0	.	1	99	0	.	0	.	1	99	0	.	0	.	1	97	1	98	2	98	0	.	0	.	0	.	1	68	0	.	0	.	4	66	0	.	0	.	0	.	0	.	0	.	0	.	9	94	2	35	1	63	1	80	0	.	0	.	0	.	0	.	0	.	1	97	0	.	0	.	0	.	1	15
dendrotelm	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	.
	public	2	98	0	.	1	97	1	98	0	.	0	.	1	99	0	.	1	57	0	.	0	.	0	.	6	71	0	.	0	.	5	74	3	76	0	.	0	.	3	70	0	99	4	85	6	56	4	52	0	.	3	48	0	.	1	97	0	.	0	.	0	.	0	.	6	94	0	.	0	.	0	.	6	98	0	.	3	96	1	99	0	.	9	64	1	68	3	74	11	61	2	97	1	97	0	.	0	.	6	42	19	92	0	.	0	.	3	97	5	64	7	69	6	51	40	46	9	47	23	36	14	41	18	61	0	.	0	.	0	.	7	56	2	97	0	.	2	93	0	.	0	.	0	.	0	.	8	77	9	73	7	48	0	.	7	93	0	.	5	85	0	.	0	.	1	77	4	55	0	.	0	.	0	.	0	.	0	.	0	.	2	96	2	96	0	.	3	12
	private	5	94	8	91	0	.	5	95	0	.	0	.	1	57	2	62	1	70	7	80	0	.	15	70	10	62	0	.	0	.	1	97	3	97	1	97	0	.	3	94	1	98	0	.	10	97	2	95	0	.	1	98	1	98	0	.	0	99	0	.	0	.	0	.	0	.	0	.	2	97	0	.	0	.	0	.	2	94	0	.	0	.	2	97	7	91	14	81	0	.	0	.	20	91	7	93	0	.	0	.	0	.	4	96	3	97	0	.	0	.	31	67	0	.	32	52	25	40	7	86	22	82	4	96	13	74	0	.	0	.	7	92	0	.	6	93	5	86	0	.	0	.	0	.	0	.	0	.	22	54	0	.	13	86	40	51	10	71	0	.	5	87	0	.	0	.	0	.	0	.	0	.	6	94	4	61	10	97	8	55	0	.	0	.	0	.	4	16
	total	2	69	2	98	1	97	2	74	0	.	0	.	1	50	1	63	1	44	1	84	0	.	2	97	7	47	0	.	0	.	3	63	3	60	1	98	0	.	3	61	1	70	3	85	7	51	4	50	0	.	3	44	1	99	0	99	0	99	0	.	0	.	0	.	4	96	0	.	1	98	0	.	5	99	0	.	3	71	0	99	0	.	5	55	2	59	5	57	11	61	2	97	7	84	1	99	0	.	4	46	8	97	2	98	2	98	2	97	5	64	9	55	5	52	35	37	20	35	22	35	15	37	11	54	5	79	0	.	0	.	7	48	2	98	3	97	3	65	0	.	0	.	0	.	0	.	6	78	11	53	6	49	3	97	19	52	2	96	5	85	3	93	0	.	1	77	3	55	0	.	0	.	3	97	3	61	5	99	2	67	1	97	1	97	0	.	3	9
buttress-root concavity	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	.
	public	20	33	21	27	35	34	20	28	135	28	88	33	46	22	44	21	23	17	72	15	16	55	20	30	53	38	0	.	11	77	17	36	32	28	35	24	0	.	102	17	51	16	34	18	43	18	49	13	59	13	33	23	25	23	35	36	48	39	13	53	73	36	8	64	17	33	33	53	118	21	48	36	137	24	44	31	43	50	75	18	80	32	103	24	39	22	41	32	43	39	31	35	33	28	91	20	48	40	46	31	5	62	22	47	38	45	45	33	48	17	76	29	41	21	61	32	104	26	54	18	45	26	74	24	114	25	105	31	84	24	91	27	75	40	95	33	29	45	0	.	46	19	38	65	27	75	86	21	68	29	47	17	20	33	34	39	5	62	23	51	30	84	43	24	36	18	59	16	40	24	48	25	22	32	25	39	35	36	12	63	23	55	38	44	0	.	49	3
	private	51	33	10	64	0	.	48	35	88	20	80	27	78	10	53	14	24	17	57	28	12	74	81	70	28	43	0	.	72	53	63	43	55	25	35	35	11	71	82	24	59	20	46	35	81	31	74	40	41	39	74	19	55	36	24	30	83	18	52	43	51	31	62	45	45	64	61	21	157	29	0	.	143	28	38	34	81	24	69	21	96	36	90	21	37	37	40	24	40	.	90	39	94	30	29	40	70	29	40	31	59	22	24	41	19	38	50	.	7	77	43	74	33	74	101	29	115	30	31	26	61	61	71	36	181	50	147	11	24	81	101	52	86	38	127	32	73	37	8	82	57	32	20	.	0	.	24	15	49	44	30	24	48	53	54	59	73	47	0	.	24	67	28	34	41	37	88	25	64	43	29	60	25	32	59	22	51	31	31	77	78	34	13	61	0	.	61	4
	total	27	25	19	25	35	34	27	23	116	21	83	21	71	10	50	12	24	12	69	13	16	49	28	38	43	31	0	.	22	53	40	36	40	19	35	21	4	90	99	16	54	12	36	16	54	17	52	12	57	13	43	16	43	28	27	23	76	17	24	39	62	25	17	52	25	41	49	22	141	20	45	36	138	20	40	23	58	27	73	15	86	24	94	16	39	20	41	28	43	37	37	30	51	24	79	20	55	27	44	24	38	25	23	31	27	31	45	31	44	17	73	28	40	20	88	24	111	22	52	17	47	24	73	21	139	28	121	19	74	24	93	24	78	29	111	23	42	32	3	93	48	17	36	60	27	75	74	21	65	26	45	16	25	31	41	35	16	60	23	51	27	54	39	21	37	17	63	14	46	22	42	24	23	23	52	21	44	24	17	51	31	41	28	39	0	.	53	2
bark loss	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	.
	public	17	32	19	27	14	33	15	38	16	47	18	58	28	32	15	27	16	20	26	17	44	37	6	65	59	42	0	.	28	35	19	42	23	32	13	47	0	.	39	24	28	21	21	30	31	27	28	23	21	19	21	17	26	29	21	40	18	39	5	94	19	45	12	53	13	66	19	32	75	49	7	51	48	30	5	95	33	37	26	33	40	35	13	49	15	29	18	36	29	39	12	50	44	32	14	40	12	52	20	56	23	50	7	66	18	54	42	27	71	35	38	44	70	30	23	63	58	27	28	22	27	33	33	33	36	41	59	66	28	39	17	31	19	42	27	50	23	64	0	.	40	26	7	59	16	42	10	37	18	41	14	51	8	51	10	65	5	62	33	71	37	77	28	17	27	24	34	17	9	54	48	28	18	36	7	91	3	97	8	55	23	49	16	45	0	.	25	4
	private	34	53	7	59	0	.	17	54	20	54	34	50	24	13	20	22	18	18	29	47	22	8	30	70	28	48	0	.	27	66	36	43	52	51	22	39	0	.	31	22	14	31	57	50	32	47	30	34	45	53	31	21	20	36	20	43	32	20	13	85	6	71	11	67	5	87	15	35	49	49	0	.	56	57	15	38	65	18	46	30	14	65	25	37	17	58	13	42	40	.	0	.	10	41	20	90	35	47	3	93	32	47	19	38	12	56	170	.	7	77	71	20	48	74	49	28	69	17	14	40	61	52	69	33	27	46	33	82	40	44	23	44	6	94	7	49	20	35	0	.	50	48	0	.	0	.	10	89	14	39	10	71	76	27	0	.	33	18	0	.	10	52	25	38	22	35	41	52	0	.	36	46	32	52	33	37	17	36	32	37	19	71	13	72	0	.	27	5
	total	21	28	17	26	14	33	15	31	17	36	27	40	25	13	18	18	17	13	27	17	40	34	9	53	47	35	0	.	28	31	28	32	34	33	18	31	0	.	37	21	24	18	27	27	31	24	29	21	23	18	24	13	23	23	20	32	29	18	8	64	12	40	12	46	10	58	17	24	60	35	7	51	49	26	11	37	46	21	31	24	31	33	21	31	15	26	17	33	29	36	11	51	34	31	15	38	20	37	15	54	29	36	14	34	14	39	50	26	65	35	41	38	68	29	40	26	65	15	27	21	31	29	50	25	33	32	49	54	30	32	19	26	15	39	17	44	22	47	0	.	42	23	6	61	16	42	10	34	17	36	14	48	22	38	6	69	10	43	33	71	21	65	27	16	26	20	35	16	7	56	44	24	24	35	28	36	10	36	15	36	22	44	15	39	0	.	26	3
fire scar	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	.
	public	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	99	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	96
	private	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	13	86	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	81
	total	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	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	.	1	99	0	.	0	.	6	88	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	69
bark shelter/pocket	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	.
	public	3	77	3	71	0	.	3	75	2	96	0	.	16	32	1	69	1	43	6	51	2	95	2	96	9	62	0	.	2	95	7	97	3	54	1	97	0	.	7	50	3	63	16	35	4	47	12	38	10	24	7	29	7	79	2	95	6	93	0	.	2	95	2	95	5	94	0	.	0	.	1	98	6	73	2	94	1	97	2	98	0	.	35	43	4	51	1	97	15	37	1	97	32	41	3	98	4	69	1	96	9	92	2	94	0	.	4	52	22	33	17	49	18	53	9	73	47	49	9	32	15	42	26	48	0	.	4	89	6	74	11	84	6	60	0	.	2	93	0	.	15	53	0	.	0	.	4	60	13	54	6	67	1	97	0	.	0	.	0	.	0	.	14	33	9	42	14	47	0	.	2	95	0	.	0	.	0	.	0	.	0	.	2	96	0	.	8	8
	private	11	68	0	.	0	.	5	95	0	.	6	68	5	25	4	55	2	43	8	54	0	.	0	.	6	94	0	.	0	.	1	97	9	97	6	80	0	.	11	48	0	.	0	.	18	83	13	69	16	53	5	57	1	98	1	98	6	44	0	.	0	.	0	.	0	.	0	.	5	95	0	.	0	.	8	66	2	94	0	.	0	.	10	47	0	.	0	.	0	.	0	.	0	.	7	93	0	.	0	.	1	96	0	.	0	.	50	.	0	.	21	67	33	74	17	56	21	33	27	86	0	.	58	62	3	94	0	.	31	81	0	.	6	92	62	64	0	.	8	82	0	.	0	.	0	.	0	.	6	84	0	.	13	86	0	.	10	71	0	.	0	.	11	68	22	73	3	65	0	.	22	90	0	.	6	59	2	67	0	.	0	.	3	90	0	.	7	14
	total	5	53	2	72	0	.	3	59	1	97	3	71	8	21	3	49	1	30	7	40	2	96	1	97	8	52	0	.	2	96	4	83	5	65	4	69	0	.	8	40	2	63	13	36	8	58	12	35	11	22	6	26	4	71	1	71	6	40	0	.	1	98	2	96	4	96	0	.	3	97	1	98	5	74	6	59	2	68	1	99	0	.	18	34	3	52	1	97	14	37	1	98	22	44	4	71	3	71	1	98	5	79	1	98	0	.	6	49	20	34	17	45	19	47	15	47	30	31	11	31	14	42	40	44	1	98	3	94	10	60	8	85	6	51	30	69	2	95	3	93	12	53	0	.	0	.	4	61	12	50	5	67	4	74	0	.	2	96	0	.	0	.	13	29	13	44	13	46	0	.	9	82	0	.	5	60	1	69	0	.	0	.	2	66	0	.	7	7
fresh stem/large branch breakage	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	.
	public	5	55	0	.	1	97	4	80	0	.	0	.	7	63	1	69	2	52	2	85	5	95	5	72	4	96	0	.	0	.	0	.	6	55	0	.	0	.	7	53	2	75	2	73	5	54	4	37	2	44	4	48	0	.	2	95	2	95	0	.	5	95	2	95	0	.	0	.	0	.	3	98	2	98	2	95	4	96	4	83	1	97	18	43	2	74	1	98	8	86	1	97	12	75	0	.	3	98	1	96	22	92	0	.	2	95	4	72	7	61	0	.	7	58	2	95	20	47	3	49	0	.	9	42	0	.	0	.	1	96	5	97	5	72	7	94	0	.	0	.	3	54	0	.	0	.	2	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	43	7	50	4	46	0	.	4	64	2	95	8	92	0	.	0	.	6	96	2	96	0	.	3	10
	private	13	94	0	.	0	.	2	95	0	.	11	56	2	48	1	63	1	49	3	66	0	.	0	.	5	61	0	.	0	.	4	71	5	51	1	97	0	.	5	94	3	97	16	65	13	55	0	.	13	60	6	44	0	.	3	72	8	70	9	88	0	.	0	.	0	.	2	96	2	95	0	.	0	.	0	.	0	.	11	54	16	93	4	63	3	91	0	.	20	.	0	.	10	91	0	.	0	.	0	.	7	78	0	.	7	49	0	.	24	51	10	67	0	.	15	35	8	40	27	86	11	82	13	54	4	94	0	.	0	.	0	.	0	.	2	95	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	21	71	0	.	0	.	5	58	2	98	3	65	0	.	0	.	3	94	3	74	2	67	0	.	0	.	0	.	0	.	4	12
	total	6	53	0	.	1	97	3	69	0	.	6	59	3	41	1	48	2	37	2	66	4	96	5	72	5	59	0	.	0	.	2	73	6	41	1	98	0	.	7	47	2	60	4	52	7	39	3	38	2	37	5	36	0	.	3	60	7	66	3	97	2	98	2	96	0	.	1	98	1	97	3	98	2	99	1	98	2	98	6	51	6	85	9	37	2	61	1	98	9	77	1	98	12	61	0	.	2	99	1	98	13	68	0	.	5	45	3	72	8	48	1	97	7	59	11	35	12	33	5	48	1	98	10	36	2	98	0	.	1	97	4	98	3	73	5	77	0	.	0	.	2	55	0	.	0	.	2	98	0	.	0	.	0	.	0	.	4	96	0	.	0	.	4	35	5	46	4	42	0	.	3	66	2	67	4	59	1	69	0	.	5	97	1	97	0	.	3	8
broad crack	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	.
	public	1	98	0	.	1	97	1	98	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	2	98	1	99	1	99	3	59	1	63	1	76	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	95	2	96	0	.	0	.	1	98	0	.	0	.	0	.	0	.	0	.	6	92	0	.	0	.	3	97	1	68	0	.	4	68	10	95	9	64	4	52	2	98	3	97	0	.	5	89	0	.	7	56	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	51	1	99	3	45	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	15
	private	0	.	0	.	0	.	0	.	0	.	0	.	1	77	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	97	0	.	0	.	5	94	0	.	0	.	5	73	0	.	0	.	1	98	0	.	0	.	0	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	98	0	.	0	.	0	.	0	.	0	.	10	90	0	.	0	.	1	97	0	.	3	97	0	.	0	.	42	67	24	74	3	97	4	61	13	86	33	82	12	36	0	.	0	.	0	.	0	.	7	92	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	21
	total	1	99	0	.	1	97	1	99	0	.	0	.	0	77	0	100	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	69	0	.	0	.	2	71	1	99	1	99	3	46	1	63	1	76	1	77	0	.	0	.	0	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	97	2	75	0	.	0	.	1	98	0	.	0	.	2	98	0	.	0	.	3	76	0	.	2	98	3	97	1	68	4	97	6	55	5	71	6	45	5	45	6	74	7	37	0	.	3	94	0	.	6	57	2	98	0	.	0	.	0	.	1	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	51	1	99	3	45	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	12
crown deadwood	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	.
	public	15	54	32	33	36	50	17	62	37	38	149	55	70	34	38	34	57	21	19	28	24	93	42	70	43	26	20	.	31	49	86	42	48	55	91	50	0	.	23	54	70	38	40	36	47	29	57	17	45	21	16	30	37	50	17	46	99	59	15	66	9	74	106	81	23	95	17	65	160	64	93	41	72	59	100	70	52	46	28	50	35	53	31	49	43	37	64	57	18	52	22	48	36	46	45	31	47	48	31	50	86	59	18	41	16	63	42	56	63	28	57	40	46	41	8	69	34	38	43	39	17	45	45	45	42	45	56	80	86	46	20	45	31	35	42	86	87	52	80	30	53	47	65	60	88	88	23	33	15	46	45	77	1	97	47	93	79	79	0	.	0	.	40	31	104	40	52	20	31	66	10	63	13	53	76	36	103	73	5	96	96	93	14	48	0	.	46	6
	private	3	94	35	83	0	.	24	64	178	43	46	59	42	18	39	41	125	28	38	37	0	.	36	70	36	61	0	.	78	66	45	56	68	49	97	88	36	71	29	72	12	47	116	43	114	58	64	73	34	87	69	39	80	41	153	37	36	25	129	69	82	61	0	.	45	52	25	40	74	51	280	.	25	56	66	64	196	52	96	56	37	65	29	46	112	50	13	42	0	.	0	.	25	63	52	83	10	95	16	75	78	60	67	66	70	52	140	.	0	.	10	67	60	12	43	32	75	26	7	86	72	17	133	21	4	94	153	82	91	21	4	92	36	25	139	43	71	57	77	42	10	90	0	.	0	.	29	74	38	40	0	.	38	52	49	62	0	.	0	.	305	69	58	40	38	45	72	27	51	81	30	90	30	56	43	65	26	60	10	89	0	.	49	71	0	.	62	8
	total	13	52	32	31	36	50	19	47	93	39	93	44	48	16	39	29	90	20	23	23	19	95	41	62	40	27	20	.	39	43	65	34	55	38	94	53	14	90	24	46	52	36	53	29	66	32	57	17	45	20	29	28	62	34	112	37	49	30	48	64	47	58	88	82	30	57	22	35	109	45	102	36	65	56	80	48	110	42	46	40	36	41	29	35	54	31	58	56	17	52	20	49	33	39	46	30	36	45	26	43	81	43	48	57	48	47	48	48	58	29	53	40	47	37	31	31	61	23	40	38	23	33	85	22	28	45	93	62	87	38	16	44	32	24	89	41	82	41	79	25	45	46	57	61	88	88	24	31	19	35	40	77	9	61	48	63	65	80	0	.	175	77	44	24	84	36	55	17	35	52	17	61	20	42	50	46	61	59	7	68	83	94	28	53	0	.	51	5
canker or burrs	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	.
	public	6	49	3	75	4	73	0	.	12	63	15	72	14	53	7	35	1	62	12	41	8	70	2	96	2	96	0	.	0	.	0	.	9	40	6	57	0	.	21	35	8	51	16	41	5	32	13	24	11	34	7	34	3	66	0	.	4	97	4	95	9	74	0	.	0	.	0	.	3	92	10	58	16	40	2	95	0	.	4	51	8	46	35	42	2	98	13	43	30	65	4	97	6	58	21	28	0	.	3	67	9	92	2	94	0	.	23	62	24	28	34	33	28	36	86	46	108	44	51	29	29	41	78	30	39	54	10	89	16	68	31	47	10	50	0	.	9	70	0	.	4	69	8	93	0	.	5	54	21	51	16	48	3	66	6	58	2	95	0	.	10	84	6	41	6	43	20	34	10	63	7	70	0	.	0	.	5	73	4	96	10	47	0	.	0	.	13	7
	private	8	64	3	92	0	.	0	.	8	91	9	62	12	23	6	34	1	49	14	53	0	.	15	70	0	.	0	.	0	.	15	56	13	50	4	70	0	.	13	51	11	53	12	62	10	46	21	46	47	75	23	86	12	67	9	36	16	28	0	.	4	95	0	.	10	49	7	60	13	53	0	.	14	64	0	.	0	.	4	96	7	93	16	45	10	41	6	83	0	.	10	71	37	60	9	93	0	.	3	93	8	55	2	96	4	73	0	.	76	49	184	67	0	.	41	36	61	38	43	49	44	82	87	53	59	77	23	82	68	51	9	92	45	53	0	.	54	68	8	82	4	90	0	.	0	.	4	89	18	78	35	71	5	87	0	.	21	71	0	.	22	65	11	54	15	45	16	60	7	81	0	.	6	94	8	44	2	97	0	.	19	71	0	.	0	.	14	10
	total	6	40	3	62	4	73	0	.	10	52	12	50	13	22	7	25	1	40	13	34	6	71	3	67	1	98	0	.	0	.	8	59	10	32	5	45	0	.	20	32	9	37	15	36	6	27	13	22	14	32	11	47	8	59	6	38	14	27	3	97	6	60	0	.	3	64	4	62	9	50	9	58	15	36	1	98	0	.	4	45	8	43	23	31	3	53	12	40	29	66	5	79	15	50	19	28	0	.	3	54	9	50	2	68	3	75	22	62	28	26	47	38	26	36	56	30	77	30	51	27	31	37	82	30	47	47	15	62	26	47	26	44	21	43	0	.	23	58	3	93	4	59	7	94	0	.	5	48	21	45	18	42	3	53	4	63	5	69	0	.	17	54	7	33	9	32	20	31	10	55	5	73	3	97	6	45	4	59	3	97	11	40	0	.	0	.	13	6
perennial fungal fruiting body	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	.
	public	1	98	0	.	0	.	1	68	0	.	0	.	1	99	0	.	0	99	0	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	99	0	.	2	69	0	70	0	70	0	.	3	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	2	96	0	.	0	.	1	98	0	.	1	97	5	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	98	3	56	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	2	97	3	68	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	62	0	.	0	99	0	.	2	95	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	19
	private	0	.	0	.	0	.	0	.	0	.	3	65	0	100	0	99	0	.	1	97	0	.	0	.	0	.	0	.	0	.	0	.	4	95	0	.	0	.	3	94	0	.	0	.	0	.	12	95	0	.	0	.	0	.	1	98	1	99	5	88	0	.	0	.	0	.	0	.	5	95	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	90	2	96	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	0	.	3	94	0	.	0	.	0	.	0	.	0	.	0	.	1	32
	total	1	99	0	.	0	.	1	69	0	.	2	68	0	81	0	100	0	100	1	70	0	.	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	99	0	99	0	.	2	69	2	79	0	70	0	.	1	99	0	99	1	99	1	97	0	.	0	.	0	.	0	.	3	97	0	.	1	98	0	.	0	.	0	.	1	98	0	.	0	.	1	98	0	.	1	97	4	74	0	.	0	.	3	97	1	97	0	.	0	.	0	.	0	.	2	98	3	57	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	2	98	2	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	54	0	.	0	99	0	.	1	97	1	97	0	.	0	.	0	.	0	.	0	.	0	.	1	17
ephemeral fungal fruiting body	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	.
	public	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	99	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	98	5	67	1	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	99	0	.	0	.	0	.	2	95	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	37
	private	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	94	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	97	0	.	0	.	0	.	0	.	0	58
	total	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	99	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	81	0	.	0	.	0	.	1	98	0	.	0	.	0	.	1	99	4	68	1	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	96	0	.	0	.	0	100	0	.	0	.	0	.	1	97	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	32
bryophytes >10%	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	.
	public	113	24	86	23	91	27	69	21	0	.	17	72	71	27	79	19	94	12	80	18	37	33	50	28	57	34	0	.	117	25	47	49	94	27	99	48	108	67	55	27	27	39	12	32	37	55	41	37	7	39	114	14	56	25	57	31	156	36	98	56	85	39	204	41	109	39	62	37	224	77	31	54	75	28	20	39	46	54	50	31	47	47	125	33	91	19	116	24	54	24	91	44	99	36	75	44	16	49	30	37	28	43	21	70	77	33	28	57	43	52	11	57	17	50	15	66	82	38	34	50	51	41	42	56	40	46	120	71	8	62	113	30	110	43	128	45	90	44	30	36	135	23	24	61	146	64	20	35	140	22	77	26	77	29	139	56	58	31	22	50	10	84	7	47	13	44	49	22	58	38	114	29	35	32	110	43	29	33	174	32	85	25	98	26	0	.	60	4
	private	100	27	57	45	0	.	89	26	21	76	58	39	41	20	109	12	116	19	84	33	12	74	0	.	93	27	0	.	246	31	67	47	124	31	105	24	217	57	229	30	18	55	0	.	54	63	36	56	56	62	158	19	109	26	91	21	129	17	53	33	81	41	19	74	48	87	150	40	134	39	0	.	76	10	80	29	81	47	50	35	161	28	78	23	94	35	114	40	0	.	215	25	144	36	246	42	76	39	159	50	102	27	76	35	92	33	250	.	7	77	68	67	20	0	108	68	128	35	112	51	237	41	115	29	99	47	17	82	108	44	62	45	94	49	127	51	240	51	200	62	54	45	60	.	0	.	10	89	426	63	290	24	263	18	216	36	73	18	0	.	119	29	16	45	71	43	128	32	67	18	72	45	49	34	79	24	51	44	60	34	70	71	41	50	0	.	90	5
	total	110	20	81	21	91	27	74	16	8	83	40	36	47	16	98	10	104	12	81	16	32	33	43	30	71	22	0	.	139	22	57	35	105	20	102	26	151	46	83	23	24	33	10	33	41	42	40	34	10	35	125	11	87	21	81	18	134	16	85	46	83	28	172	42	90	37	110	33	170	45	30	54	75	24	56	28	60	36	50	25	87	29	93	20	92	17	115	22	52	24	104	36	113	26	109	33	35	35	72	42	73	26	54	34	86	25	41	48	40	51	16	49	17	45	78	65	112	28	40	42	73	33	75	28	62	35	81	70	26	51	101	27	105	34	128	34	135	37	103	61	121	22	29	47	146	64	18	33	188	30	98	24	115	23	167	35	60	25	22	50	72	39	10	34	30	34	60	19	60	29	100	25	41	24	86	21	41	32	143	30	83	23	76	24	0	.	70	3
lichens >10%	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	.
	public	6	98	1	98	2	97	0	.	2	94	0	.	34	44	17	42	3	49	32	24	5	95	4	96	2	96	0	.	26	76	30	62	32	35	32	65	0	.	49	35	95	28	42	42	134	22	137	16	228	10	19	43	4	97	0	.	23	55	70	54	52	52	27	66	69	76	68	41	52	48	168	41	54	49	0	.	9	68	87	35	47	53	123	49	0	.	6	82	7	50	11	97	0	.	23	39	23	49	35	63	0	.	0	.	0	.	54	46	184	26	138	27	45	43	10	64	4	96	139	24	60	30	57	53	16	75	103	61	220	34	72	42	115	29	104	51	65	62	0	.	51	28	0	.	20	60	238	14	52	47	97	45	93	41	32	61	4	63	0	.	0	.	161	15	175	15	132	18	0	.	4	95	0	.	0	.	0	.	18	71	6	96	5	95	0	.	74	5
	private	17	94	3	92	0	.	0	.	0	.	0	.	113	15	4	65	1	70	75	27	0	.	0	.	0	.	0	.	0	.	50	57	54	41	10	72	11	71	19	91	147	19	250	34	45	44	141	47	310	40	7	61	2	68	2	56	32	51	16	85	154	36	53	67	63	38	216	25	249	79	960	.	18	87	0	.	0	.	48	84	0	.	4	50	3	91	0	.	50	.	0	.	10	91	0	.	41	43	6	93	0	.	0	.	0	.	0	.	45	82	257	74	0	.	42	67	20	94	7	86	0	.	9	71	24	92	33	82	151	78	208	48	25	69	99	44	0	.	0	.	167	31	0	.	0	.	318	18	98	78	0	.	98	70	0	.	0	.	0	.	0	.	208	33	155	22	138	37	0	.	4	90	0	.	0	.	1	97	0	.	0	.	0	.	0	.	56	9
	total	8	69	1	69	2	97	0	.	1	96	0	.	96	15	9	36	2	43	42	18	4	96	3	97	1	98	0	.	21	77	40	43	40	27	20	52	4	90	44	34	111	19	78	30	110	21	137	15	233	10	16	39	3	66	1	57	30	44	54	51	106	32	32	52	67	55	150	24	169	71	208	37	49	47	0	.	6	70	77	33	31	56	43	52	1	99	5	83	9	43	10	98	3	98	19	40	28	34	26	61	0	.	0	.	0	.	51	47	172	26	148	26	41	44	32	62	15	86	128	24	53	31	35	49	19	59	76	55	207	31	104	34	87	29	102	34	46	64	0	.	72	24	0	.	20	60	254	12	60	41	88	46	94	36	21	65	4	64	0	.	0	.	172	14	169	13	133	17	0	.	4	70	0	.	0	.	1	99	13	72	5	96	3	97	0	.	68	4
ivy >10%	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	.
	public	17	35	53	60	26	52	2	55	0	.	2	93	0	.	6	81	12	25	5	42	62	59	21	60	8	57	40	.	12	95	44	74	2	72	26	72	0	.	0	.	0	.	1	99	0	.	1	87	0	.	28	30	14	66	12	96	0	.	17	49	0	.	12	79	0	.	0	.	46	74	0	.	12	99	32	50	0	.	0	.	9	96	0	.	14	49	9	67	3	98	17	56	13	58	7	98	0	.	9	96	25	62	61	56	28	46	0	.	0	.	0	.	0	.	0	.	14	54	1	98	2	98	0	.	0	.	4	89	0	.	13	67	17	75	0	.	14	75	13	87	6	72	7	59	9	96	0	.	47	44	12	55	6	68	10	65	5	95	0	.	0	.	0	.	3	62	6	39	10	74	33	57	24	57	68	82	41	42	63	73	55	34	13	68	0	.	9	10
	private	48	35	23	38	0	.	17	41	0	.	10	82	2	46	6	57	10	46	2	97	0	.	0	.	0	.	0	.	66	66	6	96	2	97	31	38	88	39	7	94	0	.	0	.	0	.	0	.	0	.	74	46	27	57	28	63	3	80	19	63	0	.	0	.	0	.	0	.	0	.	0	.	0	.	61	28	51	56	0	.	17	37	8	76	13	91	100	44	0	.	0	.	27	52	89	93	0	.	12	93	70	43	56	37	25	36	0	.	0	.	0	.	73	67	7	68	61	34	0	.	50	47	6	56	14	94	0	.	0	.	16	92	23	91	0	.	73	54	32	82	0	.	0	.	0	.	0	.	130	47	100	71	23	64	74	51	48	9	0	.	10	87	9	98	6	83	0	.	30	43	16	65	6	94	6	72	41	34	24	43	0	.	5	93	0	.	16	10
	total	23	27	47	55	26	52	6	37	0	.	7	72	1	46	6	47	11	24	4	39	51	61	18	61	4	60	40	.	21	64	25	67	2	59	29	38	34	68	1	99	0	.	0	99	0	.	1	87	0	.	39	27	21	45	23	56	3	80	18	39	0	.	10	80	0	.	0	.	19	80	0	.	10	99	49	25	20	63	0	.	12	51	6	77	14	43	21	48	3	98	15	56	17	40	24	77	0	.	10	69	53	38	58	32	26	29	0	.	0	.	0	.	6	98	5	70	45	32	1	98	7	59	3	59	5	98	3	93	0	.	14	55	19	58	0	.	32	49	21	64	5	72	6	61	9	96	0	.	61	35	21	52	10	49	33	51	13	50	0	.	6	93	2	99	4	52	5	40	14	47	28	48	16	51	19	69	41	27	52	64	48	36	10	58	0	.	11	7
resinosis	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	.
	public	11	48	24	41	27	67	10	54	52	34	27	42	52	24	13	31	13	27	16	30	24	62	4	96	0	.	0	.	25	43	21	38	35	40	33	40	0	.	45	23	80	18	45	19	75	17	58	13	65	18	7	29	9	61	18	26	30	39	30	81	22	43	14	49	11	46	8	56	42	47	42	29	39	34	0	.	23	46	24	33	15	44	19	33	12	37	24	41	27	66	0	.	2	96	30	30	53	39	7	43	43	83	25	55	13	81	48	34	44	21	60	32	3	98	2	94	0	.	18	36	10	57	46	52	60	42	82	43	71	28	24	48	24	30	13	60	49	37	0	.	21	45	96	51	11	78	30	27	11	56	25	32	9	57	7	93	2	95	5	85	0	.	50	23	78	15	58	18	21	39	5	95	13	44	16	49	8	64	0	.	27	66	22	45	0	.	34	4
	private	30	44	11	92	0	.	4	95	28	39	12	38	62	11	16	22	24	40	17	47	0	.	0	.	5	62	0	.	28	75	63	57	26	36	20	54	25	71	6	59	88	21	35	48	82	39	56	42	11	64	16	39	14	48	24	41	38	20	13	85	17	44	11	67	33	57	27	42	8	71	50	.	100	63	29	34	38	63	57	50	13	73	25	27	41	60	0	.	0	.	0	.	0	.	0	.	21	51	6	60	34	58	23	47	28	33	0	.	23	82	48	74	0	.	1	97	0	.	0	.	0	.	0	.	45	47	137	49	61	58	26	42	47	43	47	42	10	85	38	58	4	87	0	.	0	.	27	45	7	78	0	.	5	86	0	.	50	71	0	.	21	88	35	33	76	25	42	37	29	84	58	34	3	94	10	41	34	48	29	89	0	.	21	65	0	.	31	6
	total	16	34	21	38	27	67	9	49	42	28	19	31	60	10	15	18	18	27	16	25	19	64	3	97	2	67	0	.	25	38	42	45	32	30	26	32	10	90	39	24	82	14	44	18	77	17	58	12	62	18	9	24	12	38	22	32	36	18	25	70	20	31	13	43	17	41	19	37	22	44	42	27	48	31	17	38	29	40	33	30	14	38	23	22	17	34	21	42	26	66	0	.	2	97	24	32	43	35	7	36	38	49	24	36	22	32	45	35	42	20	59	31	2	99	2	68	0	.	17	37	9	58	25	54	54	33	103	34	69	25	25	37	31	27	30	38	37	36	16	72	18	44	83	53	11	78	29	24	11	51	23	32	8	51	4	96	10	79	5	85	12	94	46	20	78	13	55	17	23	37	23	43	9	42	11	33	22	43	8	97	23	67	21	37	0	.	33	3
other microhabitats	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	.
	public	182	16	165	22	144	18	107	21	67	36	124	28	181	13	154	12	158	10	210	8	258	21	158	20	226	22	90	.	158	19	145	27	165	17	222	23	121	63	185	16	175	15	110	18	209	18	251	11	263	8	206	10	130	13	144	19	206	25	191	27	183	17	274	29	225	25	142	20	368	50	233	29	250	20	107	32	102	35	195	17	258	29	300	17	149	17	200	17	144	24	181	25	227	23	160	20	85	23	126	22	177	24	90	36	113	21	235	33	327	15	241	15	431	15	330	29	487	11	374	11	314	18	321	17	194	28	274	34	299	23	270	17	265	22	363	28	180	27	93	20	221	15	106	32	228	45	271	13	246	14	246	16	222	21	247	31	113	26	58	33	140	68	220	11	247	11	269	9	111	27	192	20	80	28	211	24	134	19	235	25	155	17	137	17	0	.	215	2
	private	174	19	132	23	0	.	143	24	134	20	137	23	209	9	169	7	161	14	294	25	75	45	267	44	144	27	0	.	421	10	182	24	282	17	199	13	335	12	269	27	191	14	351	24	180	32	248	25	417	36	249	15	186	14	148	18	224	11	122	15	263	18	122	17	136	38	301	20	526	32	960	.	284	33	157	20	249	31	183	29	213	18	177	16	145	23	181	38	130	.	240	30	307	27	415	32	163	24	211	42	224	21	142	17	160	21	370	.	136	35	600	1	484	19	384	20	589	13	358	44	445	35	571	18	381	28	137	5	307	38	301	27	247	29	312	22	469	23	293	42	318	27	110	.	0	.	349	18	524	43	350	28	380	16	392	30	183	11	0	.	175	14	339	21	280	13	323	17	96	26	140	31	89	32	166	21	137	20	94	21	89	40	160	25	0	.	238	3
	total	180	13	159	19	144	18	116	17	94	22	131	18	203	7	163	6	159	8	228	9	224	22	173	19	193	18	90	.	204	20	164	18	207	13	209	13	204	33	199	14	180	11	151	17	201	16	251	10	273	8	217	8	162	10	147	14	220	10	171	22	225	14	248	27	198	22	230	17	462	28	269	27	255	17	136	18	161	26	191	14	242	21	217	13	148	15	197	15	143	23	187	22	251	18	211	20	110	18	154	23	206	16	122	17	141	16	243	30	310	15	273	14	435	14	366	17	555	9	373	10	329	16	434	14	264	21	222	28	300	20	277	15	259	18	338	18	267	22	179	37	238	14	107	27	228	45	286	11	292	18	256	15	254	16	299	22	125	21	58	33	160	27	249	10	257	8	277	8	108	22	174	17	84	21	176	17	135	14	197	24	146	16	146	15	0	.	222	2
total	n/a	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
	public	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
	private	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.	.
	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. 2285286. Birmensdorf, Swiss Federal Research Institute WSL

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