Selection from the list of topics

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number of stems #73
Number of stems of living trees and shrubs (standing and lying) with a diameter at breast height (dbh) ≥12 cm.

altitudinal vegetation belts (NaiS; 6 classes) #2633
Altitudinal vegetation belts in the system used in the guidelines for monitoring the sustainability and performance of protection forests (NaiS; Frehner et al. 2005), reduced to six classes. The variable represents a simplification of the NaiS altitudinal vegetation belts with ten classes (NAISHSTKOMB) in which the classes «hyperinsubric» and «colline» are merged with «colline with beech» to form the class «hyperinsubric and colline» and the class «lower montane» with «upper montane» and «lower/upper montane» to form the class «lower and upper montane». The information is based on the altitudinal vegetation belts determined by experts (accessible forest sample plots of NFI4 on the 1.4-km network; Arge Frehner et al. 2020), as well as on the altitudinal vegetation belts modelled for the period 1981-2010 (other sample plots; Zischg et al. 2021).

main tree species #90
Type of trees and shrubs ≥12 cm in diameter at breast height (dbh) with the ten most common species or species groups in Switzerland ('main tree species') categorised, and the classes 'other conifers' and 'other broadleaves' for the remaining species. The main tree species are: spruce (Picea spp.), fir (Abies spp.), pine (Pinus sylvestris, P. nigra, P. strobus, P. mugo subsp. uncinata), larch (Larix spp.), Arolla pine (Pinus cembra), beech (Fagus sylvatica), maple (Acer spp.), ash (Fraxinus spp.), oak (Quercus spp.) and chestnut (Castanea sativa). Reference: Field Survey (MID 50: Baumart)

forest district (2024) #2777
Regional demarcation with the forest districts as a unit. This variable was implemented in the year 2024 and is based on a survey with the cantonal forest services in the years 2022/2023.

accessible forest without shrub forest #434
Forest of which less than two-thirds is covered with shrubs that can be accessed on foot.

1.4-km grid #410
NFI's sampling grid with a mesh size of 1.4 km. The 1.4-km grid is the grid size covering all the previous terrestrial Inventories, which is why it is also called the base grid.

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
number of stems
altitudinal vegetation belts (NaiS; 6 classes) · main tree species
regional demarcation: forest district (2024)
unit: 1000 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
altitudinal vegetation belts (NaiS; 6 classes)	main tree species	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%	1000 n	±%
n/a	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	fir	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	beech	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	maple	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	ash	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	other broadleaves	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
upper subalpine	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	80	0	.	0	.	237	50	469	41	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	235	50	53	61	57	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	290	40	87	65	20	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1494	20
	fir	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	29	100	1418	29	0	.	0	.	0	.	0	.	0	.	0	.	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	92	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	65	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	94	86	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1702	25
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	127	58	69	100	52	100	670	26	2250	17	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	98	75	321	39	380	56	126	91	0	.	0	.	321	38	76	.	6	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1765	18	870	25	98	47	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7229	9
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	41	83	4	100	20	100	250	38	2465	17	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	38	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	72	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	851	22	456	31	409	48	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4606	12
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	50	72	372	37	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	443	32
	beech	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	maple	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	ash	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	other broadleaves	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	10	100	0	.	0	.	0	.	0	.	29	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	68	73	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	128	47
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	0	0	.	0	.	0	.	0	.	0	.	0	.	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	.	194	50	73	100	72	77	1236	22	6975	12	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	98	75	556	35	576	46	194	89	0	.	0	.	321	38	76	.	35	.	0	.	0	.	159	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2999	17	1481	23	537	44	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15601	8
subalpine	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	0	.	0	.	0	.	0	.	0	.	0	.	5034	15	109	59	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	259	.	0	.	0	.	873	36	2728	19	1199	32	4474	18	4407	17	4059	15	0	.	0	.	0	.	142	86	0	.	0	.	0	.	0	.	0	.	669	64	174	45	828	45	0	.	149	90	675	42	109	.	149	.	0	.	0	.	0	.	0	.	0	.	107	68	0	.	0	.	0	.	0	.	0	.	347	36	921	33	625	46	0	.	0	.	0	.	141	60	37	100	180	86	33	100	233	61	314	68	297	61	147	43	217	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	87	.	0	.	0	.	0	.	0	.	2469	18	2367	21	2471	21	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	37028	5
	fir	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	20	73	80	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	54	56	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	187	47
	pine	0	.	0	.	0	.	0	.	0	.	0	.	268	49	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	152	58	62	100	0	.	214	64	1062	32	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	287	100	15	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	80	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	.	0	.	34	77	22	84	133	57	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2328	22
	larch	0	.	0	.	0	.	0	.	0	.	0	.	49	59	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	68	41	391	64	109	46	1010	31	1701	19	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	146	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	313	45	526	43	290	42	151	77	0	.	0	.	869	33	161	47	77	100	0	.	0	.	0	.	8	100	14	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2485	19	906	24	493	27	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9768	9
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	21	84	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	89	54	355	40	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	96	100	0	.	48	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	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	.	168	57	218	44	80	78	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1085	22
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	128	92	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	90	100	0	.	0	.	72	77	266	55	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	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	.	21	100	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	597	36
	beech	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	39	100	10	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	.	49	83
	maple	0	.	0	.	0	.	0	.	0	.	0	.	50	82	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	100	0	.	0	.	0	.	39	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	.	134	100	0	.	0	.	0	.	0	.	10	100	0	.	0	.	4	100	0	.	0	.	0	.	27	74	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	51	100	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	349	45
	ash	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	other broadleaves	0	.	0	.	0	.	0	.	0	.	0	.	149	63	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	80	66	10	100	29	74	134	90	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	32	100	0	.	0	.	0	.	39	78	0	.	11	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	78	53	0	.	0	.	0	.	0	.	19	71	0	.	0	.	0	.	0	.	25	100	51	100	30	75	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	124	62	51	72	249	54	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1130	22
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0
	total	0	.	0	.	0	.	0	.	0	.	0	.	5699	14	112	59	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	259	.	0	.	0	.	893	35	3118	19	1666	28	4612	17	5964	15	7453	13	0	.	0	.	0	.	142	86	0	.	0	.	0	.	0	.	0	.	679	64	493	67	938	44	0	.	196	92	870	37	109	.	160	.	0	.	0	.	0	.	0	.	0	.	188	54	0	.	0	.	0	.	0	.	0	.	680	31	1659	28	919	37	151	77	0	.	0	.	1098	30	288	57	257	90	37	90	233	61	339	64	356	54	218	42	221	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	87	.	0	.	0	.	0	.	0	.	5352	15	3618	19	3456	19	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	52521	5
high-montane	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	0	.	0	.	0	.	0	.	42	.	0	.	5603	14	411	48	0	.	17	100	0	.	0	.	0	.	0	.	123	73	1098	42	703	37	152	61	0	.	581	38	2306	19	2416	19	4961	19	7843	12	3590	16	0	.	281	68	0	.	840	34	0	.	0	.	0	.	0	.	0	.	331	46	1775	27	646	41	0	.	271	64	508	43	143	72	217	59	0	.	0	.	0	.	0	.	0	.	245	44	986	29	190	51	0	.	0	.	0	.	661	34	982	34	1376	25	0	.	0	.	0	.	408	41	52	100	244	64	337	54	673	43	1201	30	349	40	768	29	930	40	4	.	0	.	90	62	0	.	0	.	101	71	32	78	70	71	268	57	0	.	0	.	0	.	0	.	3127	16	3478	20	3363	16	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	54792	4
	fir	0	.	0	.	0	.	0	.	0	.	0	.	519	32	21	100	0	.	0	.	0	.	0	.	0	.	0	.	33	100	9	100	65	64	0	.	0	.	0	.	29	57	117	42	106	52	321	31	93	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	100	92	71	22	85	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	94	63	0	.	0	.	0	.	0	.	16	80	178	47	104	100	0	.	0	.	0	.	31	72	52	100	10	100	96	64	0	.	127	55	78	90	43	45	378	51	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	381	47	248	45	292	33	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3576	12
	pine	0	.	0	.	0	.	0	.	10	.	0	.	150	77	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	225	51	154	44	146	92	846	30	508	36	0	.	0	.	0	.	155	83	0	.	0	.	0	.	0	.	0	.	0	.	31	88	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	64	100	0	.	0	.	0	.	0	.	0	.	0	.	152	75	0	.	0	.	0	.	0	.	0	.	0	.	14	100	0	.	0	.	114	67	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1692	28	716	33	420	39	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5397	13
	larch	0	.	0	.	0	.	0	.	0	.	0	.	25	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	29	74	175	37	149	70	688	26	997	22	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	60	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	81	42	240	54	109	45	216	46	0	.	0	.	527	33	119	67	173	68	0	.	0	.	0	.	152	66	4	100	43	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1611	19	894	27	705	28	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6997	9
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	71	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	29	53
	other conifers	0	.	0	.	0	.	0	.	30	.	0	.	40	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	144	63	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	294	39
	beech	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	34	58	9	100	54	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	42	72	0	.	34	100	0	.	0	.	39	100	66	87	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	40	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	349	29
	maple	0	.	0	.	0	.	0	.	0	.	0	.	565	28	0	.	0	.	15	100	0	.	0	.	0	.	0	.	0	.	0	.	32	58	0	.	0	.	132	71	30	58	31	75	70	64	217	48	15	74	0	.	0	.	0	.	43	100	0	.	0	.	0	.	0	.	0	.	54	69	0	.	13	74	0	.	0	.	0	.	0	.	20	100	0	.	0	.	0	.	0	.	0	.	37	61	0	.	9	100	0	.	0	.	0	.	178	71	0	.	0	.	0	.	0	.	0	.	108	73	0	.	0	.	0	.	0	.	31	100	17	100	278	52	181	60	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	17	71	0	.	0	.	0	.	0	.	99	53	130	56	314	36	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2639	14
	ash	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	482	43	59	58	211	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	.	113	50	0	.	189	54	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	455	45	248	51	46	81	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1816	21
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	100	0	.	24	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	.	19	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	59	57	82	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	197	48
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	32	100	152	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	185	61
	other broadleaves	0	.	0	.	0	.	0	.	20	.	0	.	578	35	0	.	0	.	11	100	0	.	0	.	0	.	0	.	0	.	36	80	40	62	0	.	0	.	38	79	57	85	95	54	2171	25	1216	26	1182	35	0	.	9	100	0	.	32	75	0	.	0	.	0	.	0	.	0	.	9	100	0	0	11	100	0	.	0	0	61	62	0	.	0	.	0	.	0	.	0	.	0	.	0	.	149	88	74	65	0	.	0	.	0	.	0	.	1044	40	39	79	535	38	19	71	0	.	0	.	398	42	0	.	182	52	46	100	0	.	101	51	29	100	112	42	39	100	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1275	23	1303	26	664	33	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11586	9
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	0	0	0	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	0	0	0	0	.	0	.	0	0	0	0	0	0	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	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	.	101	.	0	.	7498	13	432	47	0	.	43	72	0	.	0	.	0	.	0	.	156	71	1143	41	840	38	152	61	0	.	762	35	2687	19	3034	18	8094	15	11289	10	6598	14	0	.	290	68	0	.	1070	32	0	.	0	.	0	.	0	.	0	.	402	45	1898	27	693	39	0	.	271	64	629	37	203	60	237	55	0	.	0	.	0	.	0	.	0	.	499	43	1154	28	199	50	0	.	0	.	0	.	2093	28	1665	31	2465	20	270	40	0	.	0	.	1530	26	288	53	632	45	479	50	673	43	1718	27	625	37	1205	31	1571	37	4	.	0	.	110	67	0	.	0	.	101	71	36	80	70	71	285	57	0	.	0	.	0	.	0	.	8649	12	7116	14	5898	15	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	87857	3
lower and upper montane	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	38	58	0	.	93	55	119	55	1622	24	1995	22	5067	13	3935	12	1309	23	2713	16	0	0	41	65	174	41	0	.	221	61	1093	30	1955	21	1284	28	0	.	1797	21	1719	27	812	26	170	60	454	53	0	.	2087	20	992	28	1042	26	2498	18	407	49	1295	25	302	44	509	34	1627	32	552	46	452	41	1616	31	796	29	1177	39	1843	24	555	29	1759	18	473	51	292	44	433	46	0	0	173	36	1451	25	1409	23	864	26	611	33	0	.	177	77	0	.	421	44	0	.	0	.	64	94	0	.	41	80	69	60	285	55	520	39	299	53	139	49	254	39	264	60	1209	30	697	37	76	86	1543	28	5	100	193	40	2404	18	1065	37	866	38	200	39	419	60	354	45	52	45	187	61	0	.	10	100	1087	21	988	31	504	58	89	55	857	32	615	43	0	.	157	75	118	100	0	.	68054	3
	fir	140	71	4	100	12	58	80	48	350	30	722	30	901	21	4546	11	1590	23	2901	15	4	100	71	77	410	34	0	.	111	74	163	48	1154	29	573	29	0	.	368	40	144	55	243	37	18	100	130	51	0	.	3040	14	751	30	1497	26	1417	20	253	41	870	24	236	44	346	35	1256	24	194	36	141	62	504	35	355	27	231	40	436	30	389	35	912	23	20	67	468	52	349	41	28	74	510	33	723	32	482	30	508	33	272	41	0	.	0	.	0	.	83	69	0	.	0	.	0	.	0	.	257	48	297	66	218	57	407	37	12	100	201	59	354	37	94	71	645	32	159	34	19	100	513	29	168	68	383	40	446	32	344	33	497	24	158	47	205	76	102	50	250	48	55	69	0	.	0	.	842	30	568	34	51	50	102	66	372	25	262	42	0	.	0	.	0	.	0	.	38885	4
	pine	12	75	0	.	16	100	12	100	8	100	5	100	57	55	106	80	45	56	342	44	0	.	0	.	16	62	0	.	0	.	4	100	0	.	4	100	0	.	0	.	215	70	188	60	0	.	0	.	0	.	373	50	4	100	0	.	0	.	0	.	33	87	26	100	0	.	28	100	0	.	0	.	0	.	12	58	0	.	325	56	0	.	38	59	34	58	28	74	91	54	0	.	152	66	38	73	4	100	21	100	16	61	0	.	22	68	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	68	86	0	.	4	100	0	0	0	.	0	.	0	.	4	100	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	63	100	0	.	0	.	0	0	362	54	0	.	27	100	34	70	31	50	64	54	0	.	8	100	0	.	0	.	2946	15
	larch	9	100	0	.	0	.	16	100	15	77	24	100	29	54	4	100	12	100	34	100	0	.	0	.	8	71	0	.	0	.	0	.	0	.	0	.	0	.	8	71	8	70	75	43	4	100	113	70	0	.	0	.	39	71	4	100	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	7	100	4	100	0	.	150	42	0	.	4	100	4	100	0	.	0	.	0	.	0	.	0	.	10	100	8	100	4	100	0	.	0	.	0	.	11	100	0	.	43	65	30	62	21	83	309	31	181	62	89	50	0	.	0	.	0	.	20	100	0	.	17	100	21	72	0	.	0	.	0	.	0	.	0	.	10	100	0	.	4	100	0	.	4	100	0	.	9	100	0	.	10	100	153	50	8	100	4	100	12	100	27	61	0	.	0	.	0	.	0	.	0	.	1579	14
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	other conifers	9	100	0	.	0	.	22	84	0	.	21	71	9	100	0	.	92	45	148	87	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	50	53	71	87	33	68	9	100	0	.	0	.	9	100	0	.	0	.	21	100	0	.	10	100	54	67	10	100	0	0	23	71	152	100	0	.	20	100	99	91	79	68	0	.	0	.	0	.	10	100	20	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	173	57	0	.	10	100	0	.	0	.	0	.	13	100	0	.	35	76	0	.	0	.	0	.	41	100	0	.	21	100	10	100	10	100	147	76	28	75	0	.	0	.	0	.	0	.	1481	20
	beech	352	37	48	71	18	100	553	49	290	35	729	27	3134	21	2822	13	1004	18	4487	13	42	100	187	47	1031	28	0	.	80	52	479	38	1257	27	326	37	0	.	1390	23	739	29	854	26	82	73	886	33	0	.	3434	15	850	31	331	35	1224	25	299	33	586	32	254	31	364	30	535	27	649	34	101	52	1079	28	392	30	601	39	1207	26	1108	31	1611	21	544	34	837	28	1077	27	183	40	774	25	979	23	318	44	584	32	250	34	0	.	248	63	0	.	311	43	0	.	1603	29	1228	31	897	35	2684	22	2403	27	1510	30	448	41	0	.	83	65	361	39	116	54	512	35	241	40	4	100	1388	29	56	100	125	46	636	29	342	31	651	30	274	45	104	52	103	70	167	46	86	90	80	.	171	70	1421	26	296	36	350	41	61	49	704	24	469	28	0	.	30	100	24	100	0	.	61145	3
	maple	105	47	4	100	19	71	66	65	396	68	301	51	885	23	448	21	66	45	1013	20	0	.	112	46	194	42	0	.	61	87	75	50	517	29	86	45	0	.	642	26	101	43	175	75	122	59	86	71	0	.	833	21	255	33	117	41	287	25	249	66	216	32	143	56	149	65	68	41	180	32	65	45	563	45	141	40	159	43	441	33	318	35	471	25	64	74	116	44	273	36	61	51	114	41	485	34	219	33	248	44	222	45	0	.	26	100	0	.	124	71	0	.	58	58	27	100	120	56	61	48	68	72	4	100	256	41	9	71	10	100	275	47	125	46	428	30	215	48	0	.	146	32	108	100	31	58	102	42	77	38	152	31	114	54	9	100	9	100	4	100	50	62	0	.	70	87	454	27	67	41	84	51	20	71	248	31	109	33	0	.	0	.	0	.	0	.	15587	5
	ash	47	51	8	100	52	72	20	67	76	46	271	40	435	36	309	26	162	36	191	38	0	.	4	100	100	54	0	.	0	.	49	73	378	35	196	54	0	.	338	34	130	47	40	80	0	.	98	68	0	.	677	23	84	45	185	46	316	34	26	100	62	78	4	100	20	71	25	71	270	58	48	60	114	37	309	42	197	63	126	50	147	44	320	33	21	100	49	52	48	52	72	41	76	48	426	39	232	80	68	49	176	47	0	.	14	100	0	.	0	.	0	.	112	55	26	61	76	60	206	54	0	.	0	.	137	59	129	55	0	.	49	71	84	59	192	50	105	61	11	100	44	57	36	100	11	100	21	100	11	100	0	.	49	73	0	.	62	86	0	.	23	100	0	.	0	.	171	40	55	63	99	35	10	100	446	36	105	41	0	.	4	100	12	100	0	.	9300	7
	oak	9	100	0	.	9	100	75	51	0	.	4	100	60	54	0	.	14	76	12	100	0	.	0	.	0	.	0	.	0	.	0	.	56	54	14	78	0	.	0	.	4	100	82	80	0	.	42	100	0	.	29	48	15	100	5	100	19	70	4	100	0	.	0	.	20	100	0	.	11	100	0	.	5	100	0	.	10	100	10	100	0	.	0	.	9	100	0	.	48	72	24	100	30	52	4	100	0	.	0	.	18	80	0	.	14	100	0	.	0	.	0	.	13	77	56	74	0	0	0	.	31	58	39	100	0	.	0	.	0	.	24	83	143	100	0	.	8	100	0	.	84	96	0	.	0	.	0	.	0	.	0	.	15	78	0	.	58	100	7	100	4	100	0	.	0	.	168	65	10	71	4	100	4	100	18	81	14	77	0	.	0	.	4	100	0	.	1360	18
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	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	.	110	58	0	.	35	78	268	72	0	0	59	76	0	.	33	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	528	40
	other broadleaves	29	65	0	.	8	100	123	55	28	73	187	46	876	26	544	26	187	48	583	22	0	.	31	58	143	39	0	.	28	73	18	71	151	40	101	52	0	.	402	34	337	37	159	63	59	71	279	42	0	.	724	25	140	50	40	80	197	46	25	86	115	46	19	100	67	51	107	51	171	41	87	54	279	51	30	100	87	51	452	40	147	45	301	33	4	100	39	62	79	47	156	81	47	52	207	31	194	41	406	57	0	0	0	.	0	.	0	.	340	37	0	.	855	33	1054	33	219	50	1184	35	474	31	630	32	59	62	480	64	94	100	30	58	62	74	419	47	66	82	0	.	260	44	9	100	11	100	106	55	48	60	67	58	57	63	78	100	19	82	11	100	15	78	29	.	0	.	797	29	21	71	135	51	0	.	120	46	20	71	0	.	27	100	24	100	0	.	16215	6
	indeterminable	0	0	0	.	0	.	0	.	0	.	0	0	0	0	0	0	0	0	0	0	0	.	0	.	0	0	0	.	0	.	0	0	0	.	0	0	0	.	0	0	0	0	0	0	0	.	0	0	0	.	0	0	0	.	0	0	0	0	0	.	0	.	0	.	0	.	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	.	0	0	0	0	0	.	0	0	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	0	0	0	0	.	0	.	0	.	0	0	0	0	0	.	0	0	0	0	0	.	0	.	0	.	0	0	0	.	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	752	32	64	71	227	56	1085	34	2785	22	4259	17	11452	11	12716	8	4482	16	12425	10	46	100	446	40	2075	23	0	.	502	45	1881	25	5469	15	2584	23	0	.	4955	16	3395	19	2626	19	454	49	2106	25	0	.	11246	10	3199	22	3254	19	5967	14	1262	29	3175	18	994	32	1478	24	3646	19	2047	25	894	31	4177	20	2093	22	2473	25	4990	17	2687	23	5569	16	1172	31	1849	26	2497	23	603	39	1878	23	4313	18	2868	19	2718	21	1590	26	0	.	501	50	0	.	1400	30	0	.	2719	21	2751	22	1333	29	4801	18	3523	24	2808	22	1894	29	930	43	530	46	1366	27	897	36	3421	21	1512	28	114	76	4154	20	382	63	764	35	3715	16	1898	27	2233	24	882	30	816	50	747	39	556	42	429	46	109	.	303	66	5459	16	2033	23	1269	32	342	42	2971	20	1685	24	0	.	226	72	182	74	0	.	217080	2
submontane	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	505	41	1465	27	932	33	570	25	0	.	0	.	211	55	358	37	3258	17	19	100	83	51	389	57	60	51	0	.	149	51	629	43	12	.	326	77	0	.	0	.	30	100	100	82	0	.	0	.	0	.	687	30	304	41	696	34	108	61	82	87	0	.	121	44	7	.	0	.	4	100	228	84	210	95	639	39	170	92	51	68	137	85	0	.	968	30	387	35	186	53	330	42	134	65	66	78	0	.	12	100	471	43	811	32	1088	44	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	29	100	14	100	34	68	23	70	136	86	4	100	61	58	109	59	0	.	245	51	26	58	0	.	9	100	8	71	286	38	54	52	78	53	0	.	197	45	0	.	0	.	18	63	136	87	508	54	565	30	198	81	612	32	484	37	539	44	673	33	0	.	22042	6
	fir	337	53	72	64	255	40	667	43	0	.	0	.	0	.	610	35	1887	16	4	100	66	67	84	44	102	53	0	.	96	55	4	100	0	.	72	83	0	.	0	.	32	100	43	71	0	.	0	.	0	.	823	25	573	35	618	28	203	67	56	62	0	.	158	44	19	.	0	.	10	100	0	.	94	100	127	70	0	.	4	100	67	79	0	.	82	59	219	44	48	77	51	51	122	58	0	.	0	.	4	100	207	60	395	44	259	87	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	117	100	30	100	10	100	76	68	0	.	4	100	56	74	46	100	26	87	126	40	195	45	0	.	101	91	4	100	144	48	18	71	60	78	0	.	41	61	0	.	0	.	38	79	74	62	42	83	98	50	58	73	108	44	31	59	11	100	105	57	0	.	10089	8
	pine	100	57	57	55	72	69	58	44	0	.	0	.	68	100	0	.	207	69	0	.	69	54	85	42	130	38	0	.	14	77	38	78	0	.	80	50	0	.	0	.	22	71	47	59	0	.	0	.	0	.	72	43	0	.	66	60	0	.	51	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	85	0	.	0	.	0	.	0	.	211	45	12	75	47	63	56	81	58	62	78	100	0	.	0	.	28	54	36	59	139	53	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	100	24	100	175	100	0	.	0	.	0	.	10	100	0	.	8	100	16	80	0	.	45	60	0	.	25	58	0	.	0	.	0	.	0	.	0	.	0	.	33	66	0	.	8	100	68	50	0	.	111	41	61	44	95	46	27	62	0	.	2651	12
	larch	65	65	91	65	52	74	16	50	0	.	0	.	16	100	0	.	90	47	0	.	0	.	0	.	0	.	0	.	74	100	38	80	0	.	4	100	0	.	0	.	43	61	0	.	0	.	0	.	0	.	19	65	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	52	100	0	.	89	95	9	100	5	100	0	.	46	60	24	85	12	100	12	75	0	.	0	.	0	.	6	100	27	100	54	72	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	34	90	0	.	0	.	0	.	92	73	0	.	13	75	0	.	0	.	14	100	0	.	41	64	0	.	0	.	0	.	191	95	0	.	0	.	0	.	0	.	0	.	31	76	0	.	0	.	35	54	8	71	32	56	0	.	1353	20
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	other conifers	44	61	13	58	12	100	74	56	0	.	0	.	0	.	0	.	141	36	0	.	36	100	0	.	0	.	42	.	8	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	32	74	12	100	28	100	0	.	0	.	24	86	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	120	84	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	100	0	.	50	100	0	.	4	100	30	100	0	.	0	.	0	.	27	73	11	100	0	.	0	.	0	.	0	.	0	.	30	100	0	.	0	.	89	54	0	.	0	.	0	.	0	.	0	.	0	.	858	19
	beech	1123	18	960	24	567	26	1383	24	0	.	0	.	403	49	518	29	2937	12	42	62	212	45	708	28	801	31	0	.	486	35	292	34	60	.	751	33	0	.	4	.	47	62	55	100	0	.	0	.	0	.	800	31	402	30	605	37	247	55	134	52	0	.	103	45	4	.	0	.	17	71	65	85	134	85	213	43	322	52	185	65	317	39	0	.	1594	20	369	28	208	42	692	36	763	31	54	84	0	.	111	62	395	32	217	37	737	24	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	139	71	4	100	103	96	192	67	68	71	50	100	237	41	127	78	63	58	227	42	132	54	0	.	75	72	408	39	454	33	256	46	113	50	0	.	187	42	0	.	0	.	413	50	70	82	157	40	431	29	117	93	344	31	466	31	322	28	401	27	0	.	25591	4
	maple	481	37	246	27	475	31	132	39	0	.	0	.	113	44	140	47	761	26	71	78	152	46	159	34	109	35	0	.	54	52	47	68	10	.	140	60	0	.	20	.	29	100	56	61	0	.	0	.	0	.	293	42	78	43	49	67	21	100	33	90	0	.	89	100	0	.	0	.	25	85	21	100	15	77	138	41	85	100	50	93	19	81	0	.	127	49	107	51	68	44	39	56	267	36	26	100	0	.	4	100	260	55	236	40	114	42	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	100	0	.	60	59	227	62	70	71	58	60	19	100	60	73	28	63	48	52	0	.	73	59	89	64	168	51	0	.	23	85	0	.	23	85	0	.	0	.	141	49	43	91	100	76	199	44	57	75	81	58	358	46	155	53	331	62	0	.	7787	7
	ash	555	30	284	33	221	45	61	67	0	.	0	.	82	63	120	55	566	24	133	100	192	40	112	44	65	54	0	.	134	55	208	62	17	.	346	40	0	.	70	.	7	100	31	75	0	.	0	.	0	.	343	35	192	57	141	54	0	.	50	72	0	.	10	100	0	.	0	.	4	100	19	71	21	100	236	42	212	56	52	55	143	71	0	.	253	56	37	61	53	62	118	62	104	64	88	88	0	.	48	100	183	41	228	33	190	40	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	21	100	71	51	144	56	126	79	164	62	126	46	9	100	118	41	0	.	0	.	38	82	137	62	187	46	37	54	62	64	0	.	186	48	0	.	0	.	132	39	122	47	50	69	258	47	25	86	260	46	129	49	155	59	70	47	0	.	8570	7
	oak	211	40	146	55	18	64	210	40	0	.	0	.	16	100	18	82	375	23	23	100	37	59	174	77	123	48	0	.	14	79	9	100	4	.	55	50	0	.	0	.	0	.	0	.	0	.	0	.	0	.	120	41	32	64	61	66	0	.	272	65	0	.	11	100	0	.	0	.	0	.	0	.	0	.	81	78	9	71	4	100	28	61	0	.	215	29	57	93	45	60	61	75	185	71	10	100	0	.	12	100	52	57	101	45	62	46	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	71	4	100	22	100	88	100	77	88	0	.	61	93	0	.	26	100	96	47	535	48	0	.	322	66	27	87	111	88	246	61	8	100	0	.	55	55	0	.	0	.	71	56	0	.	4	100	12	58	0	.	89	82	62	52	70	45	62	45	0	.	4921	11
	sweet chestnut	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	10	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	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	86	89	0	.	0	.	0	.	0	.	0	.	0	.	185	75	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	289	55
	other broadleaves	805	50	566	28	261	32	157	38	0	.	0	.	211	50	108	46	894	20	29	74	149	38	123	51	156	48	0	.	166	57	131	62	0	.	251	86	0	.	20	.	48	100	80	71	0	.	0	.	0	.	339	32	117	51	53	53	37	70	62	62	0	.	30	100	37	.	0	.	23	100	56	73	42	61	92	52	122	53	59	65	230	70	0	.	171	40	282	61	70	74	140	45	70	74	75	69	0	.	0	0	334	50	393	34	265	39	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	72	14	100	45	90	344	48	158	64	210	95	201	65	173	53	9	100	195	42	38	61	0	.	135	72	77	53	76	88	39	61	49	60	0	.	43	60	0	.	0	.	585	38	10	100	23	100	248	39	52	100	89	50	102	46	134	45	132	40	0	.	10484	8
	indeterminable	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	0	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	0	0	0	0	.	0	0	0	.	0	0
	total	4226	18	3900	17	2868	18	3327	18	0	.	0	.	1121	35	1873	23	11128	9	320	71	995	26	1834	25	1546	24	42	.	1195	27	1396	31	104	.	2025	27	0	.	115	.	258	59	411	44	0	.	0	.	0	.	3496	17	1706	23	2299	23	615	51	740	35	0	.	522	40	67	.	0	.	83	71	389	73	567	56	1582	28	1021	45	442	58	946	39	0	.	3690	17	1494	24	735	33	1500	27	1703	26	407	62	0	.	197	61	1957	25	2471	21	2984	22	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	365	74	100	100	260	61	1062	38	814	49	477	62	839	38	754	39	194	55	1059	27	1019	40	0	.	812	41	749	34	1604	25	661	38	394	38	0	.	923	34	0	.	0	.	1647	30	455	50	892	36	2001	21	507	50	1695	21	1728	23	1489	24	1833	23	0	.	94632	3
hyperinsubric and colline	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	73	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	.	55	100	32	100	11	100	0	.	4	100	4	100	65	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	103	53	94	77	36	100	0	.	0	.	0	.	0	.	0	.	17	81	0	.	0	.	0	.	503	29
	fir	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	29	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	100	10	100	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	57	57
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	64	80	0	.	0	.	18	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	93	100	0	.	0	.	20	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	792	44	317	40	14	77	0	.	0	.	0	.	0	.	0	.	25	100	0	.	0	.	0	.	1343	29
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	4	100	0	.	0	.	0	.	4	100	0	.	9	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	79	56	10	100	63	54	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	173	33
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	9	100
	beech	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	46	.	0	.	14	100	0	.	162	57	313	59	457	33	218	74	119	81	46	61	0	.	0	.	0	.	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	100	0	.	0	.	0	.	1389	23
	maple	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	39	79	0	.	0	.	0	.	110	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	32	100	10	100	107	70	70	60	229	43	57	61	30	88	19	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	74	77	31	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	808	24
	ash	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	48	100	0	.	0	.	0	.	40	.	259	38	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	.	0	.	195	100	0	.	68	58	255	42	466	32	503	37	56	52	233	45	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	.	0	.	0	.	0	.	50	60	47	65	24	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2272	16
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	336	42	0	.	0	.	0	.	4	.	96	62	34	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	.	10	.	0	.	21	100	0	.	133	46	235	36	560	31	327	67	367	42	117	55	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	135	71	0	.	0	.	89	.	0	.	0	.	0	.	238	44	342	53	282	57	0	.	0	.	0	.	0	.	0	.	12	58	0	.	0	.	0	.	3337	14
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	653	43	25	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	.	0	.	0	.	70	100	626	40	309	60	1543	35	784	29	2153	22	649	31	797	31	2288	28	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	100	0	.	10	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9936	10
	other broadleaves	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	189	47	0	.	0	.	0	.	0	.	967	42	69	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	.	24	100	602	34	235	54	475	39	1014	30	3278	19	475	27	631	29	747	29	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	100	0	.	0	.	53	.	0	.	0	.	0	.	224	43	341	38	81	67	0	.	0	.	0	.	0	.	0	.	43	71	0	.	0	.	0	.	9459	9
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	0	0	0	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	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	.	681	36	0	.	0	.	18	.	154	.	2051	27	131	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	108	.	149	85	1526	28	565	42	2489	26	2676	22	7249	14	2302	23	2008	23	3470	22	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	144	71	0	.	0	.	151	.	0	.	0	.	0	.	1521	30	1235	32	552	38	0	.	0	.	0	.	0	.	0	.	107	71	0	.	0	.	0	.	29287	6
total	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	543	39	1465	27	1025	30	689	23	1664	24	1995	22	15915	8	4813	11	4567	13	2749	16	83	51	429	52	234	33	0	.	493	36	2821	22	2929	19	1762	25	4	100	3251	17	6800	12	4527	14	9605	13	13013	9	8118	10	2774	17	1577	23	1738	21	3588	15	489	44	1295	25	423	34	516	34	1627	32	1555	34	2630	21	3317	21	1435	24	1767	30	3077	18	944	26	2125	17	1441	26	678	27	619	36	330	42	308	35	1869	21	2395	18	1066	23	1082	26	811	32	1269	39	1063	25	2591	19	2065	22	57	100	68	88	4	100	655	30	158	48	710	38	919	30	1219	29	1698	25	922	27	1315	23	2360	23	763	34	185	50	1634	27	250	50	219	36	2505	17	1107	35	944	35	841	26	473	53	432	38	52	45	384	38	5989	11	6036	14	6995	11	1124	29	1012	40	654	27	1055	30	1227	27	501	36	696	38	792	31	0	.	183914	2
	fir	478	43	76	61	266	38	747	39	350	30	722	30	1420	18	5180	10	3477	14	2904	15	70	63	155	43	512	29	0	.	240	43	176	45	1218	27	645	27	0	.	368	40	205	42	406	26	124	47	451	26	93	100	3863	12	1324	23	2115	20	1620	20	309	35	870	24	395	31	365	33	1256	24	224	32	233	47	621	32	482	27	231	40	440	29	457	32	912	23	102	49	686	38	396	37	79	42	632	29	727	32	575	27	512	33	479	35	395	44	288	79	16	80	261	39	108	96	0	.	0	.	4	100	309	41	429	51	228	55	620	33	42	77	338	41	507	31	137	51	1027	28	215	32	66	76	549	27	294	42	578	31	446	32	445	33	501	24	302	33	223	70	162	43	250	48	96	47	385	46	312	37	1193	23	642	31	93	46	200	42	430	24	370	32	31	59	11	100	105	57	0	.	52794	3
	pine	111	51	57	55	88	59	70	40	18	71	5	100	542	35	106	80	253	58	342	44	69	54	85	42	146	35	0	.	14	77	42	71	0	.	84	48	64	80	0	.	613	34	469	32	146	92	1089	27	2988	19	444	43	4	100	66	60	155	83	51	76	33	87	26	100	0	.	28	100	0	.	318	91	15	100	37	60	0	.	325	56	0	.	38	59	245	40	40	56	138	42	56	81	210	51	261	48	4	100	21	100	44	41	36	59	160	46	0	.	152	75	96	92	0	.	0	.	93	100	0	.	0	.	33	72	68	86	18	100	207	50	175	100	0	.	0	.	0	.	14	77	4	100	8	100	16	80	0	.	45	60	0	.	25	58	0	.	0	.	63	100	0	.	2612	23	1056	25	962	28	0	.	35	80	102	41	31	50	175	33	86	43	103	43	27	62	0	.	16367	7
	larch	74	58	91	65	52	74	32	56	15	77	24	100	119	37	4	100	101	43	34	100	0	.	0	.	8	71	0	.	74	100	38	80	0	.	4	100	0	.	8	71	276	31	709	38	313	40	2481	16	4952	11	19	65	39	71	14	77	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	59	89	4	100	89	95	366	36	5	100	4	100	50	56	24	85	12	100	12	75	0	.	0	.	10	100	14	72	31	88	54	72	10	100	492	33	1103	26	779	32	536	36	30	62	25	71	2026	18	546	32	345	43	0	.	0	.	0	.	214	50	18	81	59	77	21	72	92	73	0	.	13	75	0	.	0	.	24	72	0	.	45	58	0	.	4	100	0	.	200	91	5939	11	2690	15	1513	17	8	100	4	100	43	61	27	61	0	.	35	54	8	71	32	56	0	.	27100	5
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	26	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	41	83	4	100	20	100	360	30	2824	16	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	96	100	0	.	48	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	100	0	.	38	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	72	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1019	21	674	25	489	42	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5720	10
	other conifers	54	53	13	58	12	100	96	47	30	100	21	71	177	69	0	.	233	28	148	87	36	100	0	.	0	.	42	.	8	100	0	.	0	.	0	.	0	.	10	100	100	91	0	.	0	.	122	54	639	31	50	53	79	78	33	68	9	100	0	.	0	.	9	100	0	.	0	.	21	100	0	.	10	100	86	50	22	71	38	78	72	72	152	100	24	86	20	100	99	91	79	68	0	.	10	100	0	.	10	100	20	100	0	.	120	84	0	.	0	.	0	.	0	.	0	.	0	.	9	100	0	.	10	100	0	.	0	.	155	59	0	.	10	100	13	100	0	.	50	100	173	57	4	100	40	79	0	.	0	.	0	.	40	59	11	100	35	76	0	.	0	.	30	75	41	100	51	66	21	100	10	100	99	49	147	76	28	75	0	.	0	.	0	.	0	.	3680	12
	beech	1475	16	1008	23	585	25	1935	22	290	35	729	27	3546	19	3340	12	3941	10	4529	13	254	41	895	24	1832	21	0	.	566	31	771	27	1318	26	1077	26	0	.	1394	22	795	27	943	24	91	66	945	32	0	.	4234	13	1252	23	937	27	1471	23	433	28	586	32	357	26	368	30	535	27	666	34	166	46	1212	26	604	25	922	31	1391	24	1435	25	1611	21	2138	17	1207	21	1285	23	875	30	1537	20	1033	22	318	44	695	29	645	24	217	37	1032	23	0	.	367	37	0	.	1799	26	1540	27	1355	26	2980	20	2597	26	1555	29	587	36	4	100	186	61	553	34	184	43	562	33	478	29	131	75	1451	28	283	39	256	36	636	29	417	29	1058	24	728	26	360	36	215	42	167	46	274	40	80	100	211	60	1834	23	366	33	507	31	492	26	821	25	813	21	476	31	352	27	425	26	0	.	88523	3
	maple	587	31	250	27	495	30	198	34	396	68	301	51	1612	17	589	19	828	24	1100	19	152	46	271	28	303	30	0	.	115	53	121	40	559	27	226	41	39	79	814	24	159	34	261	52	301	46	342	37	15	74	1126	19	332	27	166	35	350	25	282	59	216	32	233	52	149	65	68	41	259	28	86	42	591	43	280	29	244	44	492	31	337	34	491	24	191	41	223	33	341	30	100	38	381	28	548	31	219	33	261	42	481	36	236	40	140	39	178	71	289	56	10	100	165	50	97	51	348	34	235	39	98	56	23	61	261	40	23	67	40	80	353	39	657	32	683	26	273	40	19	100	206	31	136	80	79	39	102	42	155	34	241	31	298	35	9	100	32	67	4	100	72	50	151	49	275	40	950	19	110	44	184	47	219	41	305	29	190	31	358	46	155	53	331	62	0	.	27171	4
	ash	602	28	292	33	274	39	81	53	76	46	271	40	521	31	429	24	729	20	324	47	192	40	116	43	166	39	0	.	134	55	258	52	395	33	542	32	48	100	419	32	137	45	70	55	522	40	415	29	211	90	1020	19	276	42	326	35	316	34	75	59	62	78	14	77	20	71	25	71	274	57	67	47	135	35	544	30	409	42	178	39	290	41	320	33	273	52	86	40	101	41	190	42	180	42	513	36	232	80	116	50	359	31	228	33	223	35	113	50	195	100	189	54	180	41	281	38	543	29	708	30	56	52	233	45	147	55	129	55	21	100	120	42	228	41	318	44	269	44	137	43	53	50	153	39	11	100	21	100	48	67	137	62	235	39	46	47	125	53	0	.	209	44	505	41	295	44	373	25	177	38	150	33	268	46	471	34	365	35	129	49	159	58	82	43	0	.	21958	4
	oak	220	39	146	55	27	54	284	32	0	.	4	100	76	47	18	82	390	22	35	74	37	59	174	77	123	48	0	.	14	79	9	100	61	50	69	42	336	42	0	.	4	100	95	71	4	100	162	47	34	100	149	34	46	54	66	62	19	70	276	64	0	.	11	100	20	100	0	.	11	100	0	.	5	100	81	78	19	63	15	76	28	61	0	.	224	28	57	93	92	47	85	61	215	61	14	78	0	.	12	100	70	47	101	45	86	39	0	.	21	100	0	.	146	42	291	32	560	31	346	64	398	39	157	48	19	71	4	100	22	100	112	81	220	72	0	.	69	83	0	.	110	77	96	47	535	48	0	.	457	51	27	87	126	79	335	52	66	89	7	100	59	52	238	44	401	46	604	36	10	71	8	71	16	50	18	81	102	71	74	45	70	45	66	43	0	.	9815	8
	sweet chestnut	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	10	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	673	42	25	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	.	0	.	0	.	70	100	769	33	461	46	1578	34	1052	28	2153	22	707	29	797	31	2320	27	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	86	89	0	.	0	.	0	.	0	.	30	100	0	.	199	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10937	10
	other broadleaves	834	49	566	28	269	31	280	32	47	60	187	46	1814	18	653	23	1081	19	622	21	149	38	154	42	299	31	0	.	194	50	185	47	192	34	352	63	189	47	460	30	522	29	343	37	2259	24	2595	21	1261	33	1063	20	266	35	94	46	266	37	87	51	115	46	48	73	104	48	107	51	203	36	175	40	333	44	123	46	209	37	611	31	377	46	312	32	175	40	322	54	149	43	297	47	117	49	431	36	269	35	406	57	334	50	393	34	265	39	1077	39	1060	23	779	31	1360	25	2068	22	3497	18	2077	22	1105	21	1589	19	155	45	495	62	265	44	453	39	361	34	669	42	267	53	173	53	279	41	204	41	49	52	106	55	193	53	144	39	132	57	171	57	69	49	11	100	58	49	1652	19	1762	21	2386	17	31	58	159	46	248	39	172	44	109	43	145	38	160	41	156	37	0	.	49001	4
	indeterminable	0	0	0	.	0	.	0	.	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	.	0	0	0	0	0	.	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	.	0	.	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	.	0	0	0	0	0	.	0	0	0	0	0	.	0	.	0	.	0	0	0	.	0	0	0	.	0	.	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	0	0	0	0	0	0	0	0	.	0	0	0	.	0	0	0	.	0	.	0	.	0	.	0	0	0	0	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	4978	16	3964	17	3096	17	4412	16	2886	21	4259	17	25770	7	15134	8	15610	8	12787	10	1041	26	2280	21	3621	17	42	.	1853	22	4420	18	6671	14	4761	17	681	36	6724	13	9652	10	7828	12	13386	11	22647	7	21158	7	14742	8	5195	16	5554	15	7793	12	2002	22	3175	18	1516	25	1546	23	3646	19	3212	22	3675	20	6393	16	3675	17	3962	21	6932	14	3945	19	5965	16	4863	15	3343	18	3233	19	2103	22	3581	17	5406	16	4022	16	3114	19	3547	18	2471	21	3594	20	3019	21	6808	13	4524	15	5822	15	5427	15	8582	13	10052	11	6184	16	7204	14	2775	23	1935	27	3006	20	3409	18	3134	20	5691	17	2354	22	868	35	4458	19	1440	26	1782	27	3817	16	2890	21	3052	20	2858	18	1628	31	1140	29	556	42	1352	28	18630	8	13753	9	17549	8	2489	21	2161	24	2343	19	3478	19	3379	16	1835	22	1715	23	2016	22	0	.	496978	1

Table citation

Abegg, M.; Ahles, P.; Allgaier Leuch, B.; Cioldi, F.; Didion, M.; Düggelin, C.; Fischer, C.; Herold, A.; Meile, R.; Rohner, B.; Rösler, E.; Speich, S.; Temperli, C.; Traub, B.,
2023: Swiss national forest inventory - Result table No. 2297926. Birmensdorf, Swiss Federal Research Institute WSL

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