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: n/ha
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	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	.
	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	68	0	.	0	.	40	47	25	39	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	90	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	119	39	34	49	97	83	0	.	0	.	0	.	0	.	0	.	0	.	0	.	54	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	38	19	62	12	61	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	19
	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	.	5	98	76	27	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	61	85	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	315	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	85	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	34	25
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	125	37	176	72	132	72	113	18	121	13	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	165	47	162	24	244	44	213	72	0	.	0	.	181	19	400	.	32	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	168	12	191	14	61	31	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	143	7
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	40	71	10	72	51	69	42	34	132	14	0	.	0	.	0	.	0	.	0	.	0	.	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	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	348	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	81	18	100	23	252	32	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	91	10
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	91	0	.	0	.	8	70	20	35	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.	0	.	0	.	0	.	9	31
	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	.	6	94	17	81	0	.	0	.	0	.	0	.	144	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	70	6	93	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	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	.
	total	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	192	24	185	72	183	33	209	13	375	7	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	90	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	165	47	281	15	370	29	327	69	0	.	0	.	181	19	400	.	177	.	0	.	0	.	771	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	285	10	326	10	332	25	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	309	5
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	.	323	10	186	15	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1302	.	0	.	0	.	335	23	325	12	261	25	440	11	297	12	221	11	0	.	0	.	0	.	235	69	0	.	0	.	0	.	0	.	0	.	823	39	140	20	496	29	0	.	375	56	238	32	550	.	700	.	0	.	0	.	0	.	0	.	0	.	108	51	0	.	0	.	0	.	0	.	0	.	129	24	238	24	290	35	0	.	0	.	0	.	43	55	32	91	306	63	80	71	399	19	226	57	377	36	105	21	209	57	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	490	.	0	.	0	.	0	.	0	.	160	15	271	15	282	15	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	270	4
	fir	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	85	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	85	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	95	0	.	0	.	0	.	6	69	69	92	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	54	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	47
	pine	0	.	0	.	0	.	0	.	0	.	0	.	17	47	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	56	13	98	0	.	14	63	58	30	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	231	91	9	94	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	81	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	76	3	82	15	55	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	21
	larch	0	.	0	.	0	.	0	.	0	.	0	.	3	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	38	85	61	11	44	68	29	93	16	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	52	66	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	117	36	136	36	135	30	263	52	0	.	0	.	264	23	139	25	131	81	0	.	0	.	0	.	10	88	10	93	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	161	16	104	19	56	22	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	71	8
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	1	83	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	53	19	38	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	57	93	0	.	120	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	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	.	11	56	25	41	9	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	22
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	8	91	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	99	0	.	0	.	5	76	15	54	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	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	.	12	97	8	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	83
	maple	0	.	0	.	0	.	0	.	0	.	0	.	3	82	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	96	0	.	0	.	0	.	3	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	35	98	0	.	0	.	0	.	0	.	3	97	0	.	0	.	10	71	0	.	0	.	0	.	19	64	4	90	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	99	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	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	.	10	62	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	64	2	98	3	73	9	90	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	26	91	0	.	0	.	0	.	14	74	0	.	50	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	97	20	48	0	.	0	.	0	.	0	.	6	66	0	.	0	.	0	.	0	.	18	92	65	85	22	64	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	61	6	70	28	52	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	21
	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	.	366	9	192	17	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1302	.	0	.	0	.	343	22	372	11	362	19	454	10	402	9	406	8	0	.	0	.	0	.	235	69	0	.	0	.	0	.	0	.	0	.	837	39	396	53	562	27	0	.	495	59	307	26	550	.	750	.	0	.	0	.	0	.	0	.	0	.	189	30	0	.	0	.	0	.	0	.	0	.	253	17	429	17	426	22	263	52	0	.	0	.	333	18	249	41	437	68	90	55	399	19	244	52	452	21	156	19	213	56	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	490	.	0	.	0	.	0	.	0	.	347	10	414	11	395	13	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	383	3
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	.	210	.	0	.	285	9	298	32	0	.	40	71	0	.	0	.	0	.	0	.	302	20	625	27	270	25	287	21	0	.	223	26	301	11	295	12	294	15	287	8	240	11	0	.	508	40	0	.	325	21	0	.	0	.	0	.	0	.	0	.	286	23	537	13	301	28	0	.	354	44	171	34	245	46	151	45	0	.	0	.	0	.	0	.	0	.	183	24	300	15	237	7	0	.	0	.	0	.	156	27	276	24	221	18	0	.	0	.	0	.	106	35	45	91	157	54	282	36	484	20	354	18	178	25	230	17	311	31	20	.	0	.	109	39	0	.	0	.	255	4	78	36	165	2	272	37	0	.	0	.	0	.	0	.	149	13	234	17	245	10	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	254	3
	fir	0	.	0	.	0	.	0	.	0	.	0	.	26	31	15	92	0	.	0	.	0	.	0	.	0	.	0	.	82	69	5	95	25	58	0	.	0	.	0	.	4	55	14	39	6	51	12	30	6	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	93	28	68	10	81	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	92	28	58	0	.	0	.	0	.	0	.	4	77	50	41	17	99	0	.	0	.	0	.	8	69	45	92	6	93	80	49	0	.	37	49	40	84	13	39	126	44	0	.	0	.	12	88	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	46	17	43	21	31	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	12
	pine	0	.	0	.	0	.	0	.	50	.	0	.	8	77	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	29	49	19	41	9	91	31	29	34	35	0	.	0	.	0	.	60	78	0	.	0	.	0	.	0	.	0	.	0	.	9	84	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	48	91	0	.	0	.	0	.	0	.	0	.	0	.	43	72	0	.	0	.	0	.	0	.	0	.	0	.	9	93	0	.	0	.	34	63	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	81	26	48	31	31	37	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	13
	larch	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	72	21	33	9	69	25	24	67	19	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	36	68	48	17	41	102	34	0	.	0	.	137	24	103	53	111	59	0	.	0	.	0	.	78	58	1	97	14	96	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	77	16	60	25	51	26	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	32	8
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	70	0	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	53
	other conifers	0	.	0	.	0	.	0	.	150	.	0	.	2	78	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	85	81	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	93	0	.	0	.	43	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	39
	beech	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	4	56	1	99	2	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	68	0	.	16	96	0	.	0	.	10	97	58	77	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	29
	maple	0	.	0	.	0	.	0	.	0	.	0	.	29	27	0	.	0	.	35	70	0	.	0	.	0	.	0	.	0	.	0	.	12	50	0	.	0	.	51	65	4	56	4	73	4	63	8	48	1	73	0	.	0	.	0	.	16	96	0	.	0	.	0	.	0	.	0	.	47	56	0	.	6	69	0	.	0	.	0	.	0	.	14	93	0	.	0	.	0	.	0	.	0	.	27	49	0	.	11	90	0	.	0	.	0	.	42	68	0	.	0	.	0	.	0	.	0	.	28	70	0	.	0	.	0	.	0	.	9	97	9	95	83	46	60	54	0	.	0	.	0	.	0	.	0	.	0	.	10	73	0	.	17	56	0	.	0	.	0	.	0	.	5	52	9	55	23	34	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	13
	ash	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	96	0	.	0	.	29	42	2	57	14	89	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	27	45	0	.	30	51	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	45	17	50	3	80	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	21
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	99	0	.	1	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	56	6	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	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	.	9	97	24	68	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	61
	other broadleaves	0	.	0	.	0	.	0	.	100	.	0	.	29	33	0	.	0	.	25	70	0	.	0	.	0	.	0	.	0	.	21	72	15	55	0	.	0	.	15	74	7	84	12	52	129	23	45	25	79	33	0	.	16	83	0	.	12	69	0	.	0	.	0	.	0	.	0	.	8	93	0	.	5	95	0	.	0	.	21	57	0	.	0	.	0	.	0	.	0	.	0	.	0	.	112	78	23	60	0	.	0	.	0	.	0	.	246	34	11	75	86	34	9	64	0	.	0	.	103	35	0	.	117	38	38	91	0	.	30	44	15	95	34	35	13	97	0	.	0	.	12	88	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	61	21	88	23	48	31	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	54	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	.
	total	0	.	0	.	0	.	0	.	510	.	0	.	382	8	313	30	0	.	100	14	0	.	0	.	0	.	0	.	384	1	651	25	322	26	287	21	0	.	293	22	350	10	371	10	480	10	414	6	441	8	0	.	524	40	0	.	414	17	0	.	0	.	0	.	0	.	0	.	348	21	574	12	323	25	0	.	354	44	212	27	348	21	164	39	0	.	0	.	0	.	0	.	0	.	373	19	351	14	248	4	0	.	0	.	0	.	494	19	468	20	395	10	127	26	0	.	0	.	397	14	251	34	406	28	401	29	484	20	507	11	319	20	361	20	525	27	20	.	0	.	133	46	0	.	0	.	255	4	88	40	165	2	289	37	0	.	0	.	0	.	0	.	413	7	479	8	430	9	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	408	2
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	16	50	0	.	122	22	35	50	307	15	213	16	200	9	118	10	115	19	109	14	0	.	29	53	43	35	0	.	159	50	239	22	163	16	217	21	0	.	159	17	257	20	122	20	143	45	110	48	0	.	82	18	155	22	135	21	203	13	133	42	169	19	126	33	121	26	182	29	112	41	148	33	205	27	135	23	240	34	193	19	91	23	141	13	163	44	69	38	75	42	0	.	34	30	181	19	186	17	144	18	164	25	0	.	179	63	0	.	134	37	0	.	0	.	10	92	0	.	5	78	11	58	52	52	138	31	167	41	99	31	77	30	123	52	217	24	183	30	186	46	203	23	9	81	62	31	230	11	237	30	157	33	71	33	306	48	161	34	32	28	116	51	0	.	17	80	108	16	199	23	181	51	63	39	105	28	130	38	0	.	414	30	300	72	0	.	138	3
	fir	60	65	10	71	15	27	24	42	66	23	77	26	36	19	136	8	140	19	117	13	10	73	52	68	101	27	0	.	80	64	36	43	96	26	97	22	0	.	33	38	21	52	36	33	15	91	31	46	0	.	120	11	118	24	195	20	115	16	82	32	113	18	98	32	82	28	140	19	39	30	46	57	64	31	60	20	47	35	46	26	64	30	73	19	7	61	110	47	61	36	14	67	100	27	90	28	64	26	84	29	73	35	0	.	0	.	0	.	26	65	0	.	0	.	0	.	0	.	31	46	48	63	40	54	108	30	7	94	143	45	107	28	44	64	116	27	42	26	48	74	67	24	293	33	124	31	43	29	77	25	90	15	56	39	150	67	46	40	153	33	34	60	0	.	0	.	84	27	115	27	18	43	72	54	46	20	55	37	0	.	0	.	0	.	0	.	79	3
	pine	5	69	0	.	21	89	4	97	2	98	1	99	2	54	3	80	4	54	14	43	0	.	0	.	4	59	0	.	0	.	1	98	0	.	1	98	0	.	0	.	32	68	28	57	0	.	0	.	0	.	15	50	1	99	0	.	0	.	0	.	4	85	11	96	0	.	3	99	0	.	0	.	0	.	2	55	0	.	34	54	0	.	3	58	12	52	7	70	16	51	0	.	30	63	5	71	0	99	4	98	4	56	0	.	22	52	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	83	0	.	3	92	0	.	0	.	0	.	0	.	10	74	0	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	39	95	0	.	0	.	0	.	36	52	0	.	10	97	24	59	4	47	13	50	0	.	21	66	0	.	0	.	6	15
	larch	4	96	0	.	0	.	5	97	3	74	3	99	1	54	0	100	1	99	1	100	0	.	0	.	2	67	0	.	0	.	0	.	0	.	0	.	0	.	1	70	1	68	11	40	3	92	27	67	0	.	0	.	6	69	1	99	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	1	99	1	98	0	.	16	40	0	.	0	99	1	96	0	.	0	.	0	.	0	.	0	.	1	99	1	98	1	97	0	.	0	.	0	.	4	97	0	.	6	63	5	59	7	80	37	28	29	59	16	47	0	.	0	.	0	.	6	97	0	.	3	98	5	68	0	.	0	.	0	.	0	.	0	.	2	98	0	.	2	96	0	.	2	96	0	.	6	95	0	.	17	80	15	48	2	98	1	97	9	93	3	59	0	.	0	.	0	.	0	.	0	.	3	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	4	96	0	.	0	.	7	82	0	.	2	69	0	100	0	.	8	43	6	87	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	2	52	11	85	4	66	1	99	0	.	0	.	4	96	0	.	0	.	4	98	0	.	1	99	9	64	2	98	0	.	4	68	12	99	0	.	5	98	17	89	40	61	0	.	0	.	0	.	2	98	5	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	95	0	.	0	.	0	.	23	55	0	.	3	97	0	.	0	.	0	.	5	96	0	.	16	69	0	.	0	.	0	.	69	80	0	.	4	98	4	96	7	93	18	74	6	72	0	.	0	.	0	.	0	.	3	20
	beech	151	24	120	0	23	89	163	43	55	29	78	23	124	19	84	11	89	13	180	11	101	73	135	29	254	18	0	.	57	35	105	32	105	24	55	32	0	.	123	19	110	23	128	20	69	60	214	26	0	.	136	12	133	25	43	31	100	22	98	22	76	28	106	13	87	21	60	22	132	28	33	45	137	23	66	24	122	33	126	22	181	26	129	17	188	22	198	18	187	19	92	25	151	17	122	16	42	41	97	27	67	25	0	.	252	46	0	.	99	35	0	.	242	23	200	26	302	24	320	16	386	21	275	23	119	35	0	.	59	53	109	30	54	46	92	30	63	33	10	67	182	24	98	80	40	39	61	26	76	23	118	24	98	38	76	37	47	63	102	30	54	84	420	.	286	40	141	22	60	30	125	31	43	31	86	19	99	20	0	.	80	66	61	69	0	.	124	3
	maple	45	38	10	71	25	49	19	61	75	65	32	49	35	21	13	20	6	43	41	18	0	.	81	26	48	36	0	.	44	81	16	46	43	26	15	42	0	.	57	22	15	40	26	73	103	42	21	68	0	.	33	20	40	27	15	38	23	22	81	61	28	28	60	48	35	61	8	39	36	25	21	36	71	43	24	35	32	38	46	30	52	30	38	22	22	69	27	38	47	32	31	40	22	37	61	30	29	29	41	40	59	39	0	.	26	89	0	.	39	67	0	.	9	56	4	98	40	50	7	45	11	70	1	98	68	34	5	63	7	93	83	40	58	35	77	24	56	43	0	.	19	27	188	81	10	51	10	40	17	32	28	25	40	48	6	94	4	96	3	93	31	50	0	.	118	64	45	24	13	36	30	44	14	60	30	26	23	27	0	.	0	.	0	.	0	.	32	5
	ash	20	42	20	71	68	51	6	62	14	42	29	37	17	34	9	25	14	33	8	37	0	.	3	93	25	49	0	.	0	.	11	70	32	32	33	50	0	.	30	32	19	44	6	78	0	.	24	64	0	.	27	22	13	41	24	44	26	32	8	97	8	77	2	96	5	67	3	70	55	54	16	53	14	34	52	38	40	59	13	48	24	40	26	31	7	97	12	48	8	49	36	26	15	44	53	36	31	79	11	45	47	41	0	.	14	89	0	.	0	.	0	.	17	52	4	59	26	54	25	51	0	.	0	.	36	55	72	44	0	.	15	67	39	51	35	47	27	56	26	67	6	54	62	84	3	96	2	99	2	98	0	.	17	68	0	.	28	80	0	.	14	94	0	.	0	.	17	37	11	59	36	22	7	93	55	33	22	36	0	.	11	66	31	69	0	.	19	6
	oak	4	96	0	.	12	89	22	46	0	.	0	99	2	53	0	.	1	75	0	100	0	.	0	.	0	.	0	.	0	.	0	.	5	52	2	75	0	.	0	.	1	99	12	78	0	.	10	98	0	.	1	48	2	98	1	99	2	69	1	97	0	.	0	.	5	98	0	.	2	98	0	.	1	98	0	.	2	98	1	99	0	.	0	.	3	97	0	.	8	70	12	95	6	49	0	99	0	.	0	.	5	77	0	.	14	89	0	.	0	.	0	.	2	75	9	71	0	.	0	.	5	55	7	98	0	.	0	.	0	.	7	79	67	96	0	.	2	97	0	.	11	94	0	.	0	.	0	.	0	.	0	.	5	73	0	.	26	96	4	95	2	94	0	.	0	.	17	64	2	68	1	97	3	93	2	79	3	74	0	.	0	.	10	69	0	.	3	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	.	5	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	.	35	52	0	.	5	76	44	70	0	.	7	75	0	.	6	69	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	40
	other broadleaves	13	58	0	.	10	86	36	50	5	71	20	44	35	24	16	25	16	47	23	20	0	.	22	44	35	33	0	.	20	63	4	68	13	38	17	48	0	.	36	31	50	33	24	61	50	58	67	36	0	.	29	24	22	47	5	78	16	44	8	82	15	43	8	96	16	45	12	48	35	35	28	49	35	48	5	98	18	46	47	38	24	41	24	30	1	97	9	58	14	43	79	75	9	49	26	27	26	38	68	53	0	.	0	.	0	.	0	.	108	28	0	.	129	29	172	28	74	44	141	32	76	25	115	26	16	58	269	55	67	93	9	52	29	67	75	42	17	79	0	.	34	41	16	84	3	97	10	53	11	56	12	55	20	57	57	94	9	77	7	93	9	69	150	.	0	.	79	25	4	67	48	44	0	.	15	43	4	68	0	.	70	75	61	69	0	.	33	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	.
	total	322	15	160	9	297	25	320	24	527	10	454	9	452	7	380	4	395	8	499	5	111	73	323	14	510	9	0	.	360	29	412	14	456	9	437	14	0	.	438	9	508	9	394	9	383	27	509	12	0	.	444	6	501	12	423	10	485	6	412	13	414	9	414	14	352	10	407	12	415	15	293	19	530	12	355	13	504	16	523	10	440	14	446	11	405	17	437	13	433	13	304	24	367	12	539	9	379	11	452	11	426	13	0	.	507	24	0	.	446	18	0	.	410	13	448	12	449	13	573	10	566	16	511	12	502	17	520	28	378	27	413	11	417	20	615	10	396	16	280	24	546	12	667	22	246	25	355	10	423	17	406	15	314	18	596	34	340	25	340	22	266	30	570	.	507	31	543	7	410	11	455	17	243	18	365	13	356	13	0	.	596	17	462	22	0	.	442	1
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	41	39	144	24	119	29	57	20	0	.	0	.	86	47	75	30	101	15	25	87	22	46	87	52	13	47	0	.	44	45	201	35	60	.	75	75	0	.	0	.	38	86	84	72	0	.	0	.	0	.	78	26	65	36	120	29	122	34	47	81	0	.	89	24	40	.	0	.	10	71	546	45	168	86	199	30	97	85	54	51	69	77	0	.	114	26	83	28	85	43	71	37	35	61	114	52	0	.	19	82	111	37	128	27	147	41	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	74	73	35	72	58	35	14	61	139	73	7	81	30	49	56	50	0	.	69	46	17	47	0	.	6	94	4	64	81	30	31	39	49	39	0	.	70	37	0	.	0	.	6	58	94	79	187	47	99	24	166	71	117	26	92	32	112	39	119	27	0	.	90	6
	fir	28	51	7	62	32	37	67	40	0	.	0	.	0	.	128	28	58	14	5	87	17	63	19	38	23	49	0	.	28	50	1	97	0	.	17	80	0	.	0	.	41	86	36	57	0	.	0	.	0	.	94	20	122	29	107	21	230	42	32	53	0	.	117	22	100	.	0	.	25	71	0	.	76	91	40	65	0	.	4	90	34	71	0	.	10	57	47	39	22	71	11	47	31	54	0	.	0	.	7	82	49	56	62	40	35	85	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	301	68	74	72	17	81	48	58	0	.	7	81	27	68	24	95	34	72	35	33	127	29	0	.	64	85	2	95	41	42	10	63	38	70	0	.	15	55	0	.	0	.	13	75	51	50	15	78	17	47	48	62	21	40	6	56	2	98	19	54	0	.	41	7
	pine	8	55	6	53	9	67	6	41	0	.	0	.	28	96	0	.	6	69	0	.	18	49	19	37	29	32	0	.	4	73	12	74	0	.	19	46	0	.	0	.	29	49	40	43	0	.	0	.	0	.	8	41	0	.	11	57	0	.	29	68	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	81	0	.	0	.	0	.	0	.	25	43	3	72	22	56	12	78	15	57	135	80	0	.	0	.	7	50	6	56	19	50	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	43	72	41	81	111	93	0	.	0	.	0	.	5	95	0	.	2	97	10	71	0	.	29	48	0	.	7	53	0	.	0	.	0	.	0	.	0	.	0	.	11	61	0	.	3	96	12	46	0	.	21	36	12	40	20	41	5	59	0	.	11	12
	larch	5	64	9	63	7	73	2	48	0	.	0	.	7	96	0	.	3	46	0	.	0	.	0	.	0	.	0	.	22	97	12	76	0	.	1	98	0	.	0	.	55	35	0	.	0	.	0	.	0	.	2	63	0	.	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	42	91	0	.	51	88	10	90	3	95	0	.	5	59	5	82	6	95	3	72	0	.	0	.	0	.	10	82	6	98	9	70	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	21	83	0	.	0	.	0	.	48	67	0	.	4	72	0	.	0	.	9	94	0	.	12	59	0	.	0	.	0	.	68	91	0	.	0	.	0	.	0	.	0	.	5	73	0	.	0	.	7	51	2	68	6	53	0	.	5	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	4	59	1	57	2	99	7	54	0	.	0	.	0	.	0	.	4	36	0	.	9	98	0	.	0	.	210	.	2	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	70	7	93	30	90	0	.	0	.	3	85	0	.	0	.	0	.	0	.	17	80	0	.	0	.	0	.	0	.	16	83	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	21	82	0	.	26	95	0	.	1	98	19	93	0	.	0	.	0	.	8	70	6	93	0	.	0	.	0	.	0	.	0	.	10	97	0	.	0	.	16	50	0	.	0	.	0	.	0	.	0	.	0	.	3	19
	beech	92	13	94	19	72	20	139	19	0	.	0	.	164	41	108	20	91	10	56	36	56	39	159	19	178	23	0	.	144	26	94	23	290	.	173	26	0	.	20	.	59	36	46	91	0	.	0	.	0	.	91	27	86	22	104	32	281	25	77	40	0	.	76	26	20	.	0	.	40	0	155	48	107	74	66	36	183	39	195	48	160	21	0	.	187	13	79	19	95	30	149	30	196	21	93	60	0	.	177	22	93	24	34	33	100	19	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	359	2	11	72	175	79	122	58	70	55	82	81	115	26	66	71	83	29	63	35	86	40	0	.	48	62	190	26	128	23	144	32	71	36	0	.	67	32	0	.	0	.	139	43	48	71	58	30	76	22	98	84	66	25	89	24	67	20	71	21	0	.	104	4
	maple	39	35	24	24	61	27	13	37	0	.	0	.	46	33	29	42	24	25	94	61	40	41	36	27	24	28	0	.	16	46	15	64	50	.	32	56	0	.	100	.	37	87	47	45	0	.	0	.	0	.	33	40	17	38	8	64	24	88	19	83	0	.	66	92	0	.	0	.	60	47	50	70	12	65	43	33	48	93	53	82	9	74	0	.	15	46	23	47	31	33	8	52	69	29	45	83	0	.	7	82	61	51	37	36	15	39	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	35	72	0	.	38	47	231	44	115	41	28	52	10	95	79	54	8	58	31	39	0	.	47	47	42	57	48	45	0	.	15	77	0	.	8	80	0	.	0	.	48	43	30	82	37	70	35	41	47	65	16	55	68	42	32	49	59	59	0	.	32	7
	ash	45	28	28	30	28	43	6	66	0	.	0	.	34	56	25	50	18	23	175	87	51	33	25	39	14	49	0	.	40	50	67	57	80	.	80	34	0	.	350	.	10	88	26	62	0	.	0	.	0	.	39	32	41	54	24	52	0	.	29	64	0	.	7	92	0	.	0	.	10	71	45	8	17	91	73	35	120	42	55	32	72	62	0	.	30	53	8	57	24	54	25	59	27	60	151	67	0	.	77	82	43	36	36	28	26	36	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	26	68	0	.	36	81	45	38	147	34	206	55	79	54	66	33	12	87	33	34	0	.	0	.	24	74	64	54	53	39	21	43	40	53	0	.	66	41	0	.	0	.	45	30	84	30	19	64	45	44	21	75	50	43	24	45	32	56	12	43	0	.	35	7
	oak	17	38	14	53	2	62	21	38	0	.	0	.	7	97	4	79	12	21	30	87	10	55	39	74	27	44	0	.	4	76	3	97	20	.	13	45	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	38	7	61	11	64	0	.	156	54	0	.	8	93	0	.	0	.	0	.	0	.	0	.	25	74	5	62	5	88	14	50	0	.	25	25	12	91	20	52	13	72	48	67	17	80	0	.	19	82	12	53	16	42	8	43	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	0	11	72	38	81	56	94	78	76	0	.	29	87	0	.	34	87	27	41	349	33	0	.	205	56	13	81	31	86	139	52	5	93	0	.	20	49	0	.	0	.	24	50	0	.	1	96	2	55	0	.	17	80	12	49	14	40	11	41	0	.	20	11
	sweet chestnut	0	.	0	.	0	99	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	89	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	86	0	.	0	.	0	.	0	.	0	.	0	.	63	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	55
	other broadleaves	66	49	55	25	33	28	16	36	0	.	0	.	86	40	23	41	28	19	38	54	39	31	28	47	35	43	0	.	49	51	42	57	0	.	58	83	0	.	100	.	61	87	66	58	0	.	0	.	0	.	39	29	25	48	9	50	42	47	35	53	0	.	22	92	200	.	0	.	55	71	135	18	33	45	29	46	69	39	62	48	117	61	0	.	20	38	60	58	32	68	30	40	18	71	129	39	0	.	0	.	79	45	62	30	36	36	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	130	12	35	72	77	68	218	33	161	45	345	76	98	56	90	43	12	87	54	35	25	50	0	.	86	63	36	44	21	85	22	51	31	48	0	.	15	53	0	.	0	.	198	28	7	94	9	96	44	34	44	92	17	47	19	42	28	41	23	36	0	.	43	7
	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	346	13	382	11	365	10	335	12	0	.	0	.	457	21	392	10	344	6	421	51	265	14	411	13	344	13	210	.	354	13	447	18	500	.	467	16	0	.	570	.	329	31	344	17	0	.	0	.	0	.	399	9	364	11	397	14	699	10	424	11	0	.	386	14	360	.	0	.	200	4	931	20	454	39	492	12	580	28	466	38	479	19	0	.	434	9	319	14	337	14	322	18	438	14	702	20	0	.	315	19	460	13	389	12	403	15	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	940	19	245	72	441	20	674	14	830	20	782	25	406	22	391	24	255	24	296	15	666	20	0	.	518	22	350	16	454	9	372	20	250	14	0	.	330	22	0	.	0	.	556	17	313	34	328	24	351	10	425	29	323	10	329	13	310	14	325	14	0	.	384	2
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	.	2	95	0	.	0	.	0	.	0	.	18	67	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	.	142	72	8	97	8	92	0	.	1	98	0	99	13	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	48	30	73	16	96	0	.	0	.	0	.	0	.	0	.	29	59	0	.	0	.	0	.	8	28
	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	.	150	.	0	.	0	.	0	.	0	.	0	.	0	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	97	3	97	5	95	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	57
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	32	74	0	.	0	.	90	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	99	0	.	0	.	3	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	231	37	100	31	6	71	0	.	0	.	0	.	0	.	0	.	42	83	0	.	0	.	0	.	22	28
	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	.	10	73	0	.	0	.	0	.	0	.	0	.	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	99	0	.	2	69	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	23	50	3	97	28	45	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	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	.	2	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	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	.	1	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	240	.	0	.	3	97	0	.	42	53	58	56	37	30	43	72	23	79	7	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	83	0	.	0	.	0	.	23	23
	maple	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	73	0	.	0	.	0	.	550	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	97	7	93	28	66	13	57	19	41	11	58	6	86	3	69	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	23	73	14	68	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	23
	ash	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	95	0	.	0	.	0	.	200	.	63	31	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	100	.	0	.	46	98	0	.	18	53	47	37	38	30	99	31	11	49	37	41	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	.	0	.	0	.	0	.	15	55	15	60	10	65	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	37	15
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	169	29	0	.	0	.	0	.	20	.	23	58	88	73	0	.	0	.	0	.	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	.	0	.	5	98	0	.	34	40	44	30	46	29	64	64	72	38	19	53	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	350	2	0	.	0	.	500	.	0	.	0	.	0	.	70	37	108	46	125	49	0	.	0	.	0	.	0	.	0	.	20	0	0	.	0	.	0	.	55	13
	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	.	158	37	64	27	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	181	72	148	33	216	46	398	26	146	22	176	19	127	24	156	24	365	22	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	97	0	.	4	65	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	163	10
	other broadleaves	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	95	35	0	.	0	.	0	.	0	.	234	35	180	69	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	63	69	143	27	165	40	123	32	189	23	268	15	93	19	123	21	119	23	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	73	0	.	0	.	300	.	0	.	0	.	0	.	66	36	107	29	36	60	0	.	0	.	0	.	0	.	0	.	71	44	0	.	0	.	0	.	155	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	.
	total	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	343	20	0	.	0	.	90	.	770	.	496	16	341	10	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	560	.	386	49	362	18	395	18	642	13	498	11	593	8	452	12	393	12	553	13	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	374	7	0	.	0	.	850	.	0	.	0	.	0	.	445	18	389	20	245	23	0	.	0	.	0	.	0	.	0	.	178	43	0	.	0	.	0	.	479	4
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	37	37	138	24	119	26	52	19	303	15	213	16	253	6	120	9	105	12	105	14	20	46	74	48	27	30	0	.	95	31	298	17	195	15	163	22	2	95	192	13	277	8	213	11	334	10	231	7	155	9	81	15	136	19	129	17	219	11	102	38	169	19	113	25	112	26	182	29	213	29	328	15	252	17	158	19	226	26	189	15	106	22	148	13	126	23	76	23	78	32	50	38	34	32	171	16	221	12	143	15	136	22	128	27	148	36	135	19	155	16	181	18	4	99	6	87	0	100	29	29	11	47	50	36	159	23	293	20	243	19	121	22	167	17	231	18	125	30	79	40	178	23	60	46	47	30	231	11	162	31	117	32	112	21	143	48	114	31	32	28	87	32	119	10	189	12	178	9	170	23	184	35	92	21	113	27	123	23	86	31	134	33	131	26	0	.	153	2
	fir	33	41	7	59	31	35	56	37	64	23	77	26	23	17	129	8	80	12	111	13	17	60	27	38	60	26	0	.	46	38	19	43	81	25	60	24	0	.	22	39	8	41	19	24	4	46	8	26	2	100	113	10	114	18	157	16	99	16	64	29	113	18	105	22	79	27	140	19	31	28	29	45	47	30	53	23	29	37	27	28	52	28	64	20	9	48	77	35	50	34	12	39	70	25	67	28	53	24	69	30	60	31	62	40	34	77	2	79	16	38	9	96	0	.	0	.	0	100	14	40	31	49	16	54	107	27	10	74	48	37	66	27	17	48	101	24	35	26	28	71	60	23	71	36	125	23	41	29	65	28	62	18	40	30	67	66	43	36	153	33	22	42	8	46	10	36	30	22	97	26	17	42	28	38	46	19	37	29	5	56	2	98	17	54	0	.	44	3
	pine	8	50	5	53	10	57	5	38	3	68	1	99	9	34	3	80	6	57	13	43	16	50	15	38	17	31	0	.	3	74	4	70	0	.	8	47	32	74	0	.	25	33	22	30	5	92	19	26	57	18	13	42	0	99	5	59	9	83	11	73	4	85	7	98	0	.	3	99	0	.	40	89	1	99	4	58	0	.	20	55	0	.	3	58	22	38	4	54	17	39	8	79	23	48	24	47	0	99	3	99	6	38	6	56	19	44	0	.	9	75	8	91	0	.	0	.	6	99	0	.	0	.	2	71	12	84	4	98	30	47	23	99	0	.	0	.	0	.	6	71	0	99	2	97	3	77	0	.	7	58	0	.	3	56	0	.	0	.	39	95	0	.	52	22	33	24	24	27	0	.	6	78	14	37	3	47	18	29	15	39	20	39	4	59	0	.	14	7
	larch	5	57	9	63	6	73	2	55	3	74	3	99	2	37	0	100	2	43	1	100	0	.	0	.	1	69	0	.	14	98	4	79	0	.	0	99	0	.	0	70	11	30	33	37	11	40	44	15	95	9	1	65	3	70	1	76	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	5	88	0	99	11	94	22	34	1	99	0	99	4	55	3	84	2	99	2	73	0	.	0	.	1	99	2	70	4	87	9	70	1	99	62	29	66	24	68	30	39	34	3	61	2	70	91	16	40	30	24	41	0	.	0	.	0	.	28	48	2	79	6	76	3	69	40	68	0	.	3	72	0	.	0	.	3	70	0	.	6	56	0	.	1	97	0	.	45	89	118	9	84	12	38	16	1	98	1	98	6	59	3	59	0	.	6	51	2	68	5	53	0	.	23	5
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	82	0	100	1	100	6	29	54	15	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	99	0	.	6	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	3	78	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	20	21	24	12	41	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	10
	other conifers	4	52	1	57	1	99	7	46	5	98	2	69	3	69	0	.	5	28	6	87	9	98	0	.	0	.	210	.	1	98	0	.	0	.	0	.	0	.	1	99	4	90	0	.	0	.	2	54	12	31	1	52	7	77	2	67	1	100	0	.	0	.	2	98	0	.	0	.	3	99	0	.	1	99	9	48	3	69	2	78	8	71	11	99	2	85	2	99	12	89	12	66	0	.	1	99	0	.	1	99	3	99	0	.	14	83	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	1	99	0	.	0	.	22	56	0	.	1	99	1	99	0	.	22	96	19	55	1	98	9	76	0	.	0	.	0	.	5	57	3	96	9	72	0	.	0	.	1	75	1	100	1	66	3	98	2	98	14	46	16	74	3	73	0	.	0	.	0	.	0	.	3	12
	beech	101	12	95	19	68	20	145	18	53	29	78	23	56	18	83	10	90	8	174	11	61	35	153	16	214	15	0	.	109	24	82	23	88	24	100	22	0	.	82	20	32	25	44	22	3	66	17	31	0	.	124	11	108	19	69	24	90	20	90	20	76	28	95	12	80	22	60	22	91	29	21	43	92	23	66	20	118	27	85	22	162	21	112	17	188	11	135	15	162	17	132	25	171	14	95	17	29	42	93	24	81	18	34	33	120	18	0	.	22	36	0	.	131	23	134	24	89	23	133	18	188	23	110	27	102	31	1	98	27	58	72	31	23	40	55	30	79	22	56	70	158	24	68	32	55	29	59	26	61	23	131	18	97	21	108	27	57	36	102	30	62	35	2	100	7	60	47	22	55	28	92	25	69	20	88	20	81	16	81	25	68	19	70	20	0	.	74	3
	maple	40	29	24	23	57	26	15	32	72	65	32	49	26	16	15	18	19	23	42	17	36	41	46	21	35	26	0	.	22	49	13	38	37	24	21	39	20	73	48	21	6	33	12	51	10	45	6	37	0	74	33	18	29	23	12	33	21	22	59	56	28	28	62	46	32	61	8	39	35	23	11	38	45	42	31	24	31	41	30	29	38	30	34	22	17	39	25	30	43	26	15	34	42	24	50	28	20	30	35	39	60	33	37	36	16	36	23	69	17	55	1	99	12	48	8	49	23	32	11	38	7	55	2	60	45	36	6	64	6	78	46	35	84	28	67	22	45	36	8	96	22	27	33	77	17	33	9	40	23	29	30	27	40	32	3	97	9	64	3	93	16	45	3	48	9	40	24	18	17	40	33	43	31	38	33	25	19	28	61	43	30	50	55	60	0	.	23	4
	ash	41	26	28	30	32	36	6	52	14	42	29	37	8	31	11	23	17	19	12	46	46	34	20	39	19	36	0	.	26	52	27	50	26	31	50	29	24	95	25	31	6	44	3	55	18	40	7	29	4	90	30	18	24	40	24	33	19	32	16	55	8	77	4	73	4	67	3	70	37	54	8	44	10	33	60	26	52	38	11	37	33	38	22	31	24	50	10	37	13	38	29	38	20	40	47	33	21	79	16	47	45	27	36	28	26	32	14	48	12	100	17	52	13	39	24	36	36	27	32	29	4	51	17	43	25	53	31	51	3	99	16	39	29	38	31	41	44	41	59	32	6	48	37	33	2	98	2	99	7	65	17	60	31	36	14	41	33	48	0	.	47	39	10	41	9	44	9	24	27	34	27	27	38	43	50	31	37	32	22	45	31	54	14	39	0	.	18	4
	oak	15	37	14	53	3	52	21	30	0	.	0	99	1	47	0	81	9	21	1	74	9	55	30	74	14	46	0	.	3	77	1	99	4	49	6	40	169	29	0	.	0	100	4	70	0	100	3	47	1	100	4	33	4	53	5	61	1	69	57	60	0	.	3	98	4	98	0	.	1	99	0	.	0	99	9	77	2	61	1	75	3	58	0	.	20	25	6	92	12	44	13	58	24	59	1	77	0	.	2	99	9	44	16	42	10	36	0	.	1	99	0	.	11	40	25	29	37	29	15	63	29	38	11	47	3	68	1	98	3	99	15	79	28	70	0	.	11	81	0	.	12	75	23	42	115	44	0	.	67	48	3	85	17	77	101	47	18	86	4	95	13	48	5	44	13	45	15	35	2	69	1	68	2	47	2	79	10	70	13	41	13	40	11	39	0	.	8	8
	sweet chestnut	0	.	0	.	0	99	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	42	0	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	.	9	99	46	32	41	44	115	32	91	25	142	19	32	28	58	29	164	25	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	88	0	.	0	.	0	.	0	.	1	100	0	.	5	69	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	10
	other broadleaves	57	47	53	25	31	27	21	30	9	57	20	44	29	17	16	22	25	18	24	19	36	31	26	38	35	28	0	.	38	46	20	45	13	32	33	61	95	35	27	28	21	28	16	36	78	23	46	20	24	33	31	19	23	33	7	44	16	35	18	47	15	43	13	69	23	44	12	48	28	32	22	37	25	42	13	44	27	33	37	30	43	43	22	29	15	38	36	52	19	40	45	45	13	47	40	33	25	32	55	54	42	47	62	30	31	36	136	35	63	21	68	28	99	22	180	18	230	15	93	20	80	17	113	16	27	41	119	58	38	41	59	35	46	30	66	40	44	49	74	45	30	39	49	35	11	48	10	53	28	50	18	36	18	55	52	52	18	44	7	93	13	44	33	18	55	19	61	16	5	55	29	42	35	35	18	42	11	41	25	34	31	37	26	33	0	.	41	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	.
	total	342	11	374	11	359	9	331	11	526	10	454	9	409	4	376	4	358	5	490	6	249	15	390	11	423	8	210	.	358	12	468	11	444	8	441	10	343	20	397	8	393	6	369	7	465	7	402	5	404	5	432	5	447	9	412	8	476	6	416	9	414	9	403	10	336	11	407	12	439	14	458	12	487	10	404	9	506	13	425	9	445	11	416	11	427	8	375	10	407	11	317	15	398	9	496	8	371	9	418	10	444	9	389	12	418	13	382	15	406	9	398	8	422	10	471	8	564	7	449	7	447	11	510	9	481	15	464	16	431	11	447	9	399	13	558	11	387	13	372	21	485	12	347	15	385	19	351	9	422	13	378	12	381	9	490	20	302	17	340	22	307	18	369	5	431	6	446	5	376	12	392	14	330	9	372	12	339	8	314	13	331	13	334	13	0	.	413	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. 2298752. Birmensdorf, Swiss Federal Research Institute WSL

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