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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NFI1
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 1983/85
		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	.	450	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	450	.
	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	.	450	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	450	.
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	.	0	.	0	.	0	.	12	50	17	41	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	.	73	83	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	27	39	24	51	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	21	23
	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	.	4	95	100	28	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	130	82	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	290	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	21	91	0	.	173	82	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	57	25
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	287	6	340	.	100	.	128	26	91	16	0	.	0	.	0	.	0	.	0	.	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	40	73	56	0	.	0	.	0	.	163	54	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	154	15	126	28	30	82	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	117	9
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	82	20	.	0	.	41	47	129	15	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	170	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	79	18	93	37	225	75	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	95	12
	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	.	16	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	62
	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	.	1	99	3	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	70
	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	.	293	5	360	.	100	.	186	14	352	8	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	.	166	33	203	40	0	.	0	.	0	.	163	54	0	.	0	.	0	.	0	.	510	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	282	12	246	22	428	39	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	298	6
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	.	355	11	224	42	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	272	40	320	15	276	30	372	12	334	11	224	11	0	.	0	.	0	.	422	68	0	.	0	.	0	.	0	.	0	.	772	34	151	40	453	36	0	.	355	59	305	23	0	.	930	.	0	.	0	.	0	.	0	.	0	.	214	23	0	.	0	.	0	.	0	.	0	.	97	28	195	25	166	36	0	.	0	.	0	.	45	90	21	80	250	.	130	.	321	34	266	30	446	43	150	38	262	55	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	460	.	0	.	0	.	0	.	0	.	172	16	314	16	317	18	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	281	4
	fir	0	.	0	.	0	.	0	.	0	.	0	.	0	99	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	.	18	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	.	17	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	57	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	37
	pine	0	.	0	.	0	.	0	.	0	.	0	.	24	44	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	98	6	97	0	.	8	60	75	31	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	274	86	17	93	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	74	80	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	1	99	6	57	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	23
	larch	0	.	0	.	0	.	0	.	0	.	0	.	2	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	39	40	43	8	55	63	25	83	11	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	94	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	48	40	79	24	104	34	200	.	0	.	0	.	194	23	132	40	300	.	0	.	0	.	28	80	20	72	10	89	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	107	15	122	19	52	21	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	57	7
	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	.	6	61	19	32	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	64	93	0	.	60	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	.	0	.	0	.	0	.	0	.	0	.	20	67	28	39	10	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	24
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	97	0	.	0	.	8	80	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	61
	beech	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	94	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	76
	maple	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	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	.	38	90	10	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	.	1	65
	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	.	4	64	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	26	86	0	.	0	.	0	.	5	95	0	.	50	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	97	0	.	0	.	0	.	0	.	12	94	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	76	4	73	8	60	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	27
	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	.	386	10	224	42	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	272	40	343	14	326	24	383	11	413	9	409	7	0	.	0	.	0	.	422	68	0	.	0	.	0	.	0	.	0	.	789	35	451	52	534	33	0	.	415	61	332	20	0	.	980	.	0	.	0	.	0	.	0	.	0	.	214	23	0	.	0	.	0	.	0	.	0	.	145	25	278	18	270	23	200	.	0	.	0	.	285	21	152	25	550	.	130	.	321	34	367	34	466	38	199	34	272	53	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	460	.	0	.	0	.	0	.	0	.	306	12	473	10	394	14	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	372	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	.	0	.	0	.	357	9	406	19	0	.	140	15	0	.	0	.	0	.	0	.	363	7	714	31	571	16	310	8	0	.	252	32	359	12	302	13	227	13	281	9	263	13	0	.	1005	13	0	.	541	29	0	.	0	.	0	.	200	.	0	.	522	21	521	19	359	24	0	.	336	54	373	22	469	64	315	36	0	.	0	.	0	.	0	.	0	.	298	24	524	23	283	22	0	.	0	.	0	.	98	35	185	23	204	20	0	.	0	.	0	.	78	52	17	91	121	42	326	18	449	34	440	20	152	40	185	21	293	36	0	.	0	.	255	14	0	.	0	.	290	17	120	.	380	.	280	40	0	.	0	.	0	.	0	.	166	15	217	15	276	12	220	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	279	3
	fir	0	.	0	.	0	.	0	.	0	.	0	.	32	33	13	93	0	.	0	.	0	.	0	.	0	.	0	.	113	69	0	.	25	77	0	.	0	.	0	.	4	45	19	37	12	46	12	35	0	.	0	.	0	.	0	.	2	95	0	.	0	.	0	.	0	.	0	.	63	82	34	72	14	55	0	.	0	.	3	96	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	49	0	.	0	.	0	.	0	.	0	.	15	42	18	94	0	.	0	.	0	.	11	68	51	92	10	89	65	59	0	.	19	67	30	51	23	39	178	43	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	26	40	16	48	20	42	100	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	13
	pine	0	.	0	.	0	.	0	.	0	.	0	.	4	69	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	49	20	52	1	99	36	27	52	31	0	.	0	.	0	.	65	71	0	.	0	.	0	.	0	.	0	.	0	.	15	96	0	.	0	.	0	.	0	.	34	81	0	.	0	.	0	.	0	.	0	.	0	.	54	90	0	.	0	.	0	.	0	.	0	.	3	74	54	57	0	.	0	.	0	.	0	.	0	.	0	.	10	89	0	.	0	.	43	60	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	128	25	61	31	33	38	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	33	13
	larch	0	.	0	.	0	.	0	.	0	.	0	.	1	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	76	12	49	1	99	15	24	61	23	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	47	46	61	8	45	112	42	0	.	0	.	118	29	122	52	208	45	0	.	0	.	0	.	37	58	1	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	82	19	72	25	44	25	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	10
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	52
	other conifers	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	.	0	.	0	.	15	60	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	49
	beech	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	2	98	1	99	1	60	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	81	0	.	26	90	0	.	0	.	5	96	53	92	10	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	.	0	.	0	.	0	.	1	36
	maple	0	.	0	.	0	.	0	.	0	.	0	.	25	38	0	.	0	.	35	70	0	.	0	.	0	.	0	.	0	.	0	.	5	95	0	.	0	.	0	.	5	75	2	98	3	70	3	53	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	88	0	.	2	96	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	86	0	.	0	.	0	.	12	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	95	47	69	45	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	.	28	61	0	.	0	.	0	.	0	.	3	70	1	99	9	82	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	21
	ash	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	29	58	0	100	5	70	0	.	0	.	0	.	0	.	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	71	0	.	17	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	.	4	62	4	73	2	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	33
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	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	.	0	.	0	.	0	.	0	.	0	.	0	.	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	70	5	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	67
	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	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	.	27	83	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	83
	other broadleaves	0	.	0	.	0	.	0	.	0	.	0	.	18	29	0	.	0	.	50	70	0	.	0	.	0	.	0	.	0	.	0	.	14	49	0	.	0	.	0	.	2	99	24	81	62	30	31	25	37	34	0	.	25	71	0	.	5	95	0	.	0	.	0	.	0	.	0	.	24	53	0	.	0	.	0	.	23	77	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	93	30	65	0	.	0	.	0	.	0	.	101	42	12	97	33	42	20	89	0	.	0	.	233	49	0	.	71	55	0	.	11	90	17	52	22	95	67	47	35	44	0	.	0	.	13	86	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	66	29	41	33	31	57	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	36	11
	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	.	100	.	0	.	438	8	419	18	0	.	225	36	0	.	0	.	0	.	0	.	475	11	714	31	614	17	310	8	0	.	252	32	406	12	380	13	336	11	388	7	419	9	0	.	1030	11	0	.	613	23	0	.	0	.	0	.	200	.	0	.	614	21	571	18	374	22	0	.	359	56	392	20	521	54	315	36	0	.	0	.	0	.	0	.	0	.	360	17	570	24	298	24	0	.	0	.	0	.	251	18	324	21	308	16	158	23	0	.	0	.	445	23	242	44	431	15	391	15	461	32	534	17	257	23	323	21	552	28	0	.	0	.	268	11	0	.	0	.	290	17	120	.	430	.	308	37	0	.	0	.	0	.	0	.	476	8	414	9	420	10	320	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	411	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	33	52	10	71	64	31	54	46	367	16	320	16	270	8	157	8	142	18	135	12	93	68	18	36	46	28	0	.	249	41	340	18	250	17	266	19	0	.	224	21	112	26	203	21	106	34	136	52	0	.	104	19	153	17	167	17	278	13	93	38	201	24	168	32	88	27	174	15	162	27	242	21	160	22	233	23	194	26	199	20	126	21	182	16	253	36	71	28	71	45	44	70	49	25	135	18	289	15	165	14	218	32	0	.	85	47	0	.	104	43	0	.	2	98	19	65	1	97	5	70	8	71	29	41	146	33	208	40	299	22	56	30	71	37	241	19	208	23	430	50	115	17	9	81	125	31	262	11	105	23	165	24	115	26	86	32	188	49	74	28	341	25	0	.	26	70	93	18	202	19	139	37	91	36	115	18	138	21	0	.	336	37	0	.	0	.	163	3
	fir	99	51	10	71	38	27	55	54	121	25	82	24	32	19	161	8	123	18	121	12	10	73	37	93	85	30	0	.	126	63	34	39	97	23	153	28	0	.	44	32	25	42	50	34	19	91	25	67	0	.	110	13	103	19	177	18	115	18	134	36	106	20	133	34	106	26	177	20	67	31	67	42	58	34	93	19	83	27	52	27	65	29	95	21	11	60	63	34	84	34	17	46	84	15	61	28	96	19	91	27	77	29	0	.	0	.	0	.	30	67	0	.	0	.	0	.	1	97	20	61	31	38	40	66	117	28	0	.	215	49	96	34	58	58	125	26	32	39	0	.	91	31	369	8	178	23	27	40	57	27	106	18	93	35	137	45	78	37	103	31	69	65	0	.	0	.	84	34	99	44	18	81	118	56	88	20	75	32	0	.	0	.	0	.	0	.	87	3
	pine	16	58	0	.	0	.	7	71	2	98	1	99	3	54	1	53	11	39	16	40	0	.	0	.	10	65	0	.	0	.	1	98	0	.	1	98	0	.	0	.	58	63	45	43	0	.	0	.	0	.	12	44	0	.	0	.	0	.	0	.	1	99	26	96	4	75	5	99	0	.	0	.	3	98	2	55	0	.	25	62	1	98	6	48	20	64	12	50	18	40	7	93	42	54	11	69	1	99	13	98	4	56	0	.	20	30	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	97	0	.	0	.	1	97	0	.	0	.	0	.	10	74	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	32	95	0	.	0	.	25	72	53	47	2	98	15	97	31	65	9	46	26	54	0	.	53	66	0	.	0	.	8	13
	larch	4	96	0	.	0	.	12	78	1	98	2	99	1	58	0	74	2	71	2	100	0	.	0	.	4	73	0	.	0	.	0	.	0	.	0	.	0	.	0	99	3	74	20	37	3	92	10	87	0	.	0	.	3	98	1	99	0	.	0	.	0	.	0	.	1	97	0	.	0	.	0	.	0	99	1	99	0	.	21	47	0	.	0	.	3	96	0	.	0	.	0	.	0	.	0	.	0	.	2	98	2	97	0	.	0	.	0	.	3	97	0	.	12	52	9	59	11	84	42	26	44	74	16	51	0	.	0	.	0	.	2	97	0	.	5	98	3	97	0	.	0	.	0	.	0	.	0	.	4	98	0	.	6	96	0	.	0	.	0	.	0	.	50	.	0	.	34	48	2	98	1	97	11	93	3	70	0	.	0	.	0	.	0	.	0	.	4	16
	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	.	6	67	0	.	1	99	0	100	0	.	4	54	5	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	100	5	99	7	81	0	.	0	.	0	.	4	96	0	.	0	.	4	98	0	.	0	.	8	98	4	67	0	.	2	98	3	99	0	.	5	98	9	80	17	67	0	.	0	.	0	.	2	98	3	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	94	0	.	0	.	0	.	6	59	0	.	4	97	0	.	0	.	0	.	11	96	0	.	41	95	0	.	0	.	0	.	0	.	0	.	0	.	4	96	0	.	16	69	5	58	0	.	0	.	0	.	0	.	2	22
	beech	156	31	175	10	26	85	218	34	81	28	101	23	95	14	90	13	109	17	207	11	106	73	267	33	242	16	0	.	101	61	128	32	103	21	92	36	0	.	150	21	107	29	111	21	38	48	208	27	0	.	146	11	144	27	42	20	102	22	84	24	84	28	142	19	84	22	69	24	155	22	41	55	212	24	68	40	141	36	115	25	171	26	144	18	340	22	187	27	252	16	226	37	218	20	127	20	36	40	96	24	41	35	0	.	148	26	0	.	65	42	0	.	211	26	262	24	305	24	277	20	309	22	254	25	131	31	0	.	20	43	117	32	120	41	97	29	76	39	0	.	164	21	140	40	93	26	62	23	132	18	150	21	86	36	225	27	73	33	72	27	28	84	0	.	173	72	140	22	71	33	239	42	88	37	105	19	100	25	0	.	125	45	71	69	0	.	132	3
	maple	56	42	25	71	51	60	16	51	21	46	31	37	27	21	11	28	8	50	34	19	0	.	79	43	34	47	0	.	7	92	10	50	21	32	11	53	0	.	57	26	19	47	4	72	70	50	13	55	0	.	28	17	48	34	6	42	16	27	14	58	11	36	61	50	40	71	7	38	39	26	32	50	29	29	31	36	45	43	48	34	44	33	54	21	27	60	8	55	33	30	51	38	33	28	30	29	31	35	24	61	51	44	0	.	31	89	0	.	3	97	0	.	11	57	4	98	14	75	10	99	0	.	0	.	54	37	43	60	0	.	63	44	20	71	68	26	88	67	0	.	24	37	112	81	3	96	7	45	12	41	25	32	34	51	3	94	5	95	7	93	6	94	0	.	49	72	30	33	20	55	32	52	17	48	42	35	35	33	0	.	0	.	0	.	0	.	26	5
	ash	31	39	0	.	108	27	10	49	25	53	57	30	13	37	12	28	11	41	9	40	0	.	3	93	14	63	0	.	3	91	18	60	41	33	13	62	0	.	37	46	4	83	0	.	0	.	8	98	0	.	31	23	5	50	12	58	18	46	0	.	13	89	2	96	3	97	3	99	87	54	10	72	10	61	89	37	41	39	16	48	27	60	30	31	22	85	9	78	12	64	22	72	24	58	36	40	6	69	13	45	42	58	0	.	10	89	0	.	0	.	0	.	19	82	4	67	23	82	0	.	0	.	0	.	22	85	77	60	0	.	43	42	16	70	26	52	30	48	0	.	6	79	0	.	0	.	1	99	4	98	2	98	16	96	0	.	19	73	7	93	31	63	0	.	0	.	24	47	15	67	85	38	3	93	41	39	38	34	0	.	106	66	46	69	0	.	19	7
	oak	4	96	0	.	0	.	23	56	0	.	0	99	1	57	0	100	2	59	1	100	0	.	0	.	0	.	0	.	0	.	0	.	9	55	5	98	0	.	0	.	1	98	14	84	0	.	3	97	0	.	0	100	6	61	0	.	3	63	1	97	0	.	0	.	0	.	0	.	2	98	0	.	1	98	0	.	2	98	0	.	0	.	2	70	6	66	0	.	4	69	24	94	5	55	2	76	0	.	0	.	8	71	0	.	31	89	0	.	0	.	0	.	2	98	8	67	3	97	0	.	4	98	4	69	0	.	0	.	0	.	33	72	49	95	0	.	2	97	0	.	16	89	0	.	0	.	0	.	0	.	0	.	10	68	8	91	0	.	0	.	18	69	0	.	0	.	6	47	1	97	1	97	0	.	4	99	6	60	0	.	0	.	20	69	0	.	3	16
	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	.	8	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	64	66	0	.	5	71	18	58	4	96	3	98	2	98	9	68	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	34
	other broadleaves	27	55	0	.	81	79	38	78	25	50	14	50	27	20	14	28	5	38	21	22	0	.	15	93	29	43	0	.	70	85	14	50	12	34	27	48	0	.	35	28	39	39	14	48	76	40	111	35	0	.	30	26	15	41	4	70	42	44	12	85	7	54	4	96	21	97	11	44	25	38	43	78	30	34	2	98	32	50	50	38	23	43	22	30	3	96	10	57	14	43	49	58	35	39	23	30	25	37	64	64	5	97	0	.	20	89	0	.	119	34	0	.	135	29	114	30	85	48	113	32	56	47	104	26	18	53	198	59	29	90	30	79	35	64	42	39	19	47	0	.	14	50	16	84	11	52	8	40	6	54	12	49	20	80	16	91	15	68	7	93	6	94	0	.	0	.	57	23	4	68	44	43	0	.	22	36	17	38	0	.	0	.	71	69	0	.	29	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	429	9	220	10	368	36	438	19	642	12	609	10	468	5	446	4	419	8	550	5	209	10	419	17	463	11	0	.	556	28	546	10	532	9	568	11	0	.	549	11	367	14	462	10	312	17	522	14	0	.	462	6	482	11	415	8	573	7	338	15	423	12	539	13	346	17	447	9	543	10	435	13	504	12	526	11	543	11	528	11	459	14	537	8	687	15	363	15	496	11	458	21	491	10	423	11	482	10	469	11	451	14	0	.	344	31	0	.	388	16	0	.	398	14	439	13	447	17	470	13	454	18	456	14	504	13	525	20	562	13	443	18	376	18	604	13	458	15	439	51	437	11	645	21	414	11	367	9	320	9	460	9	391	14	474	13	418	26	301	14	499	15	50	.	273	58	523	10	416	13	578	20	360	17	445	11	440	10	0	.	620	46	209	69	0	.	476	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	54	27	107	25	207	29	142	19	0	.	0	.	122	62	123	25	168	13	5	87	14	53	47	58	62	56	0	.	183	25	194	30	142	.	81	30	0	.	0	.	26	85	88	45	0	.	0	.	0	.	115	30	124	25	155	22	129	27	4	63	0	.	198	28	220	.	0	.	45	71	385	3	78	51	198	22	97	95	155	60	151	68	502	.	127	29	89	22	175	48	132	37	66	82	52	80	0	.	29	82	171	25	225	24	117	34	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	84	60	0	.	118	36	49	49	53	64	20	.	139	42	112	37	0	.	211	33	44	55	0	.	41	78	30	87	173	32	42	81	68	48	0	.	201	49	0	.	0	.	19	45	32	43	135	43	186	22	71	51	175	22	161	26	118	26	217	22	0	.	131	5
	fir	23	30	15	32	34	47	99	23	0	.	0	.	0	.	131	28	78	16	0	.	13	71	20	41	14	57	0	.	7	67	1	97	0	.	4	78	0	.	0	.	61	86	28	64	0	.	0	.	0	.	78	28	96	56	179	20	163	58	52	54	0	.	144	24	420	.	0	.	0	.	0	.	70	90	20	45	0	.	12	87	0	.	0	.	3	69	46	36	40	76	38	49	37	72	0	.	0	.	7	82	41	51	28	37	10	60	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	237	81	0	.	0	.	28	69	0	.	0	.	27	52	5	95	62	78	73	60	120	52	0	.	18	66	9	75	37	39	14	62	165	81	0	.	27	55	0	.	0	.	14	97	75	37	49	59	24	40	145	46	22	49	12	56	16	64	19	47	0	.	46	7
	pine	20	43	31	30	6	38	8	41	0	.	0	.	31	95	0	.	6	30	0	.	23	54	42	48	61	32	0	.	4	69	29	47	0	.	41	47	0	.	0	.	136	65	181	36	0	.	0	.	0	.	20	45	0	.	30	70	0	.	40	63	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	73	0	.	0	.	0	.	0	.	33	47	12	67	71	53	30	65	28	54	146	80	0	.	0	.	21	61	9	51	22	41	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	215	80	0	.	127	54	0	.	0	.	0	.	0	.	0	.	0	.	27	73	8	66	0	.	15	50	0	.	53	61	11	63	0	.	0	.	0	.	0	.	0	.	21	69	0	.	3	96	24	39	29	48	30	33	34	29	34	41	15	42	0	.	20	9
	larch	4	62	24	67	7	75	4	48	0	.	0	.	13	65	0	.	4	57	0	.	0	.	0	.	0	.	60	.	35	96	6	71	0	.	9	87	0	.	0	.	129	64	0	.	0	.	0	.	0	.	1	69	1	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	95	12	87	3	95	0	.	9	58	1	98	5	95	2	98	0	.	0	.	0	.	10	82	0	.	8	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	93	0	.	0	.	0	.	0	.	0	.	0	.	3	93	0	.	0	.	0	.	9	67	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	69	5	71	17	43	0	.	5	21
	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	1	99	0	.	4	99	0	99	0	.	0	.	0	.	0	.	4	37	0	.	0	.	0	.	0	.	600	.	5	97	0	.	0	.	7	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	37	87	0	.	0	.	3	84	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	87	0	.	0	.	0	.	0	.	0	.	0	.	2	32
	beech	153	12	129	16	135	21	130	24	0	.	0	.	236	30	110	26	123	11	105	48	74	24	198	20	202	24	0	.	169	36	149	30	510	.	213	21	0	.	280	.	221	34	115	67	0	.	0	.	0	.	114	23	116	25	100	24	329	33	30	63	0	.	96	50	50	.	0	.	145	37	234	71	282	51	24	42	265	46	200	22	230	32	0	.	228	15	135	20	154	25	115	25	275	20	92	53	0	.	247	25	34	32	66	24	130	20	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	274	45	0	.	285	80	133	63	49	55	260	.	155	33	39	63	161	47	102	45	44	52	0	.	14	62	300	28	66	42	228	24	129	42	0	.	135	25	0	.	0	.	169	46	17	57	60	35	64	28	122	50	124	22	106	29	111	22	91	26	0	.	132	4
	maple	35	21	17	36	10	57	11	42	0	.	0	.	56	41	28	37	8	31	49	51	17	40	40	31	16	39	20	.	12	96	15	97	75	.	7	98	0	.	0	.	0	.	13	67	0	.	0	.	0	.	18	29	8	58	15	93	39	53	17	67	0	.	0	.	0	.	0	.	75	24	0	.	10	90	20	33	6	94	63	66	2	95	0	.	17	46	26	84	27	53	15	52	77	35	71	83	0	.	0	.	38	92	16	38	6	68	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	29	69	201	47	0	.	17	44	0	.	25	87	9	97	6	94	0	.	31	49	66	46	33	81	11	95	7	92	0	.	8	72	0	.	0	.	21	45	41	80	5	69	28	37	28	93	8	63	22	52	42	49	17	52	0	.	20	8
	ash	29	27	32	33	15	43	12	70	0	.	0	.	17	70	39	36	16	30	123	76	43	46	18	97	10	69	0	.	16	62	39	82	217	.	51	39	0	.	0	.	21	88	0	.	0	.	0	.	0	.	46	35	31	33	11	49	0	.	46	64	0	.	0	.	0	.	0	.	10	71	200	53	0	.	57	35	64	56	55	33	35	56	0	.	22	42	6	72	20	95	30	58	51	64	134	10	0	.	63	82	35	47	35	27	25	42	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	81	0	.	57	81	56	43	51	70	50	.	110	41	55	63	0	.	35	56	0	.	0	.	37	64	174	40	79	47	17	47	84	38	0	.	54	45	0	.	0	.	43	57	283	36	15	75	22	28	16	60	8	40	19	58	34	41	18	34	0	.	31	7
	oak	18	28	36	39	10	41	22	48	0	.	0	.	13	96	7	69	19	21	0	.	20	30	45	96	40	48	0	.	9	69	13	44	33	.	23	47	0	.	0	.	0	.	0	.	0	.	0	.	0	.	34	29	10	49	19	61	0	.	147	44	0	.	17	61	0	.	0	.	0	.	0	.	0	.	43	86	24	71	0	.	13	54	0	.	35	23	6	54	30	67	5	52	59	55	0	.	0	.	31	82	11	69	24	38	21	34	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	23	52	0	.	28	81	79	92	69	74	0	.	49	82	0	.	49	87	42	37	315	41	0	.	273	46	20	72	20	46	123	33	16	47	0	.	40	40	0	.	0	.	33	48	0	.	0	.	2	75	0	.	10	66	9	49	27	38	21	49	0	.	26	9
	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	.	33	97	0	.	15	92	0	.	0	.	0	.	0	.	3	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	81
	other broadleaves	45	32	81	24	24	32	5	46	0	.	0	.	86	63	28	38	23	29	37	56	75	28	37	54	44	39	0	.	45	66	34	48	75	.	14	72	0	.	0	.	36	88	8	91	0	.	0	.	0	.	62	25	26	38	7	49	0	.	64	41	0	.	139	87	100	.	0	.	195	71	300	24	20	90	9	97	274	50	126	54	119	55	0	.	11	44	14	42	30	48	46	43	35	39	138	52	0	.	33	82	109	34	48	36	43	45	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	135	51	0	.	114	61	137	39	219	39	0	.	47	67	104	82	12	87	31	41	18	46	0	.	78	71	15	49	49	86	66	56	52	41	0	.	41	79	0	.	0	.	180	34	24	35	13	85	33	46	21	65	2	98	29	41	42	44	72	47	0	.	45	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	381	7	473	8	449	13	434	8	0	.	0	.	573	23	467	9	450	5	319	39	280	15	446	15	450	14	680	.	484	14	481	15	1053	.	448	12	0	.	280	.	631	20	434	22	0	.	0	.	0	.	487	8	415	16	514	10	660	10	400	13	0	.	593	13	790	.	0	.	470	9	1120	2	460	37	380	13	736	23	661	17	553	22	502	.	487	10	335	10	552	7	412	13	628	12	633	19	0	.	420	7	459	12	459	11	375	14	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	984	26	0	.	728	19	514	20	642	24	330	.	544	13	315	30	309	25	530	14	558	25	0	.	507	27	614	12	553	11	512	13	536	26	0	.	506	17	0	.	0	.	503	22	471	26	280	20	389	11	432	16	379	11	400	13	429	9	487	11	0	.	459	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	.	9	68	0	.	0	.	0	.	89	71	21	60	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	40	.	35	71	8	97	0	.	0	.	1	98	0	99	0	.	0	.	4	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	78	40	66	18	74	0	.	0	.	0	.	0	.	0	.	58	59	0	.	0	.	0	.	8	27
	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	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	100
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	91	81	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	60	.	0	.	0	.	0	.	0	.	0	.	10	99	0	.	0	.	6	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	255	25	267	34	14	55	0	.	0	.	0	.	0	.	0	.	142	83	0	.	0	.	0	.	35	23
	larch	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	.	3	97	0	.	0	.	0	.	1	99	0	.	2	67	1	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	59	4	96	13	64	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	37
	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	.	6	94	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	.	0	.	0	.	0	.	0	.	34	63	63	58	29	33	4	57	14	65	20	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	95	0	.	0	.	0	.	0	.	0	.	48	83	0	.	0	.	0	.	18	25
	maple	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	94	0	.	0	.	0	.	100	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	.	5	97	7	98	7	49	4	98	6	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	22	62	6	95	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	29
	ash	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	66	0	.	0	.	0	.	25	71	26	41	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	.	0	.	11	98	0	.	10	75	23	56	38	31	26	48	24	43	30	55	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	195	.	0	.	0	.	0	.	0	.	0	.	50	.	0	.	0	.	0	.	12	56	4	96	18	95	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	23	16
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	594	24	0	.	0	.	0	.	10	71	18	61	92	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	.	0	.	0	.	16	56	45	38	58	28	74	73	96	44	21	50	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	46	.	0	.	0	.	530	25	0	.	0	.	650	.	0	.	0	.	0	.	19	47	62	59	26	32	0	.	0	.	0	.	0	.	0	.	73	10	0	.	0	.	0	.	62	16
	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	.	229	34	85	4	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	199	71	46	40	322	43	226	34	280	21	259	16	87	34	247	24	389	19	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	97	0	.	18	67	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	189	9
	other broadleaves	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	44	47	0	.	250	.	0	.	0	.	196	25	0	.	0	.	0	.	0	.	0	.	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	70	93	26	102	45	130	38	195	21	174	18	156	23	93	31	91	30	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1265	.	0	.	0	.	76	23	0	.	0	.	300	.	0	.	0	.	0	.	114	47	19	52	66	49	0	.	0	.	0	.	0	.	0	.	339	14	0	.	0	.	0	.	136	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	770	15	0	.	250	.	0	.	224	15	493	15	177	40	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	200	.	262	56	160	15	424	27	421	20	614	12	575	8	351	20	483	17	562	12	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1506	.	0	.	0	.	605	19	0	.	0	.	1000	.	0	.	0	.	0	.	460	17	418	21	181	34	0	.	0	.	0	.	0	.	0	.	660	19	0	.	0	.	0	.	479	5
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	51	25	104	25	194	28	119	18	353	17	320	16	309	5	164	7	161	11	131	12	21	49	40	52	54	35	0	.	218	20	342	16	298	13	195	16	9	68	230	17	255	10	243	11	267	9	248	7	168	9	107	16	167	16	162	13	309	12	61	40	201	24	179	22	100	23	174	15	252	22	352	15	219	17	221	18	184	24	246	13	156	26	205	15	160	23	81	17	98	34	107	35	56	42	152	15	359	14	163	14	193	21	225	24	112	31	94	25	116	17	157	19	1	99	10	63	1	70	20	44	7	51	28	31	173	21	318	24	354	17	102	26	129	17	252	17	185	20	168	36	119	16	173	35	98	29	263	10	85	22	136	23	171	19	58	38	142	42	74	28	248	30	130	11	202	11	196	10	169	19	137	28	168	20	108	17	157	16	151	26	135	24	202	23	0	.	175	2
	fir	35	30	15	31	34	42	87	21	117	26	82	24	24	18	150	8	90	12	115	12	13	66	24	44	48	30	0	.	51	52	17	40	84	22	87	30	0	.	33	33	10	37	27	26	8	43	8	31	0	.	102	12	97	26	178	13	99	18	104	32	106	20	137	23	115	25	177	20	58	29	42	38	44	31	67	19	52	30	33	27	44	32	87	21	5	47	54	25	73	31	32	42	65	21	48	29	72	19	75	27	58	27	28	37	9	61	0	.	10	46	12	95	0	.	0	.	1	70	12	46	21	39	18	65	116	29	0	.	47	50	60	29	26	42	122	25	30	31	4	96	79	30	111	38	159	22	26	40	43	27	77	20	54	29	64	47	111	50	103	31	41	45	12	41	9	43	31	28	94	36	33	49	42	38	96	19	48	28	11	56	15	65	18	47	0	.	51	3
	pine	19	38	30	30	5	38	8	35	2	98	1	99	9	32	1	53	7	24	15	40	21	54	31	49	36	31	0	.	2	71	11	49	0	.	17	49	91	81	0	.	30	38	37	27	1	100	22	25	75	18	14	32	0	.	12	72	9	77	14	68	1	99	17	98	3	75	5	99	0	.	38	84	4	69	5	56	0	.	16	63	3	83	6	48	29	41	12	43	32	36	24	60	37	41	22	50	0	99	11	98	13	53	9	51	22	35	2	75	13	60	8	99	0	.	0	.	8	99	0	.	0	.	4	80	35	74	0	.	56	37	1	99	0	.	0	.	0	.	2	96	1	99	22	74	3	72	0	.	3	59	0	.	23	63	6	67	0	.	32	95	0	.	83	20	54	25	33	26	2	98	9	83	25	33	12	35	28	30	45	35	36	37	14	42	0	.	19	6
	larch	4	55	24	67	6	75	6	46	1	98	2	99	1	39	0	74	3	49	2	100	0	.	0	.	2	75	60	.	22	98	2	73	0	.	3	89	0	.	0	99	23	32	23	26	4	44	31	17	78	9	0	70	2	85	1	99	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	0	99	1	99	1	99	19	38	1	99	0	.	8	53	0	99	1	99	2	98	0	.	0	.	0	.	2	69	1	99	8	98	0	.	27	32	36	26	28	33	20	37	4	61	3	69	63	18	42	43	29	40	0	.	0	.	3	98	12	51	2	75	3	99	2	98	0	.	0	.	0	.	1	98	0	.	3	99	0	.	7	56	0	.	0	.	0	.	0	.	97	10	86	14	38	17	1	98	1	98	2	99	3	70	0	.	7	69	5	72	16	43	0	.	17	5
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	100	0	.	4	39	48	15	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	99	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	.	6	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	25	19	30	6	67	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	12
	other conifers	1	70	0	.	4	99	2	60	4	98	1	99	0	100	0	.	4	31	4	100	0	.	0	.	0	.	600	.	3	98	0	.	0	.	3	99	0	.	1	99	0	.	1	99	0	.	0	.	8	49	0	100	4	73	4	82	0	.	0	.	0	.	2	98	0	.	0	.	3	98	0	.	0	.	5	99	3	69	2	99	1	99	2	99	2	84	2	99	6	81	5	72	0	.	0	.	0	.	2	98	1	99	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	62	0	.	2	98	0	.	0	.	0	.	5	59	0	.	3	98	0	.	0	.	0	.	5	88	0	.	25	97	0	.	0	.	1	85	0	.	0	.	0	.	2	98	5	88	14	70	2	60	0	.	0	.	0	.	0	.	2	17
	beech	153	11	130	15	125	21	153	20	78	29	101	23	51	15	88	12	119	10	201	11	77	23	215	17	221	14	0	.	135	32	117	23	93	21	135	20	6	94	116	22	37	28	50	23	2	54	17	33	0	.	137	10	128	19	66	18	98	20	64	24	84	28	125	20	78	22	69	24	123	22	31	53	155	23	52	35	159	29	81	23	176	20	133	19	257	12	159	18	227	14	146	22	241	14	104	20	25	41	101	21	37	24	66	24	129	18	0	.	16	42	0	.	125	25	165	24	79	25	121	23	162	24	117	26	117	29	0	.	31	85	83	32	41	41	62	29	102	27	32	64	148	20	102	38	77	24	59	23	93	21	185	18	64	28	214	19	95	28	72	27	99	26	0	.	2	100	50	23	58	32	154	37	68	23	107	18	112	16	101	28	112	21	90	25	0	.	87	2
	maple	38	19	17	34	13	45	12	33	20	46	31	37	22	18	13	23	8	26	34	18	16	41	50	26	25	35	20	.	9	78	10	57	19	29	9	48	6	94	43	27	7	41	3	48	7	44	3	37	0	.	26	15	30	32	10	62	14	25	15	44	11	36	39	53	36	72	7	38	34	24	14	54	19	29	27	28	30	43	33	33	30	34	50	21	20	37	18	69	31	26	25	33	51	25	27	29	21	36	21	58	44	48	16	38	9	56	8	99	1	99	0	.	8	49	6	70	8	41	5	80	2	99	0	.	35	40	19	67	0	.	40	37	60	38	53	24	65	62	0	.	22	35	23	72	4	68	6	45	15	33	37	28	32	43	7	83	6	66	7	93	7	58	1	70	3	50	13	29	24	46	19	49	26	33	39	33	21	31	20	52	38	49	16	53	0	.	17	4
	ash	29	23	31	33	23	33	11	54	24	53	57	30	6	35	15	23	15	25	12	39	39	47	14	93	12	47	0	.	11	58	23	56	37	31	27	34	19	66	28	46	2	64	0	.	17	57	3	40	2	71	35	19	15	31	12	40	14	46	17	69	13	89	1	97	3	97	3	99	64	54	16	65	6	62	78	29	43	33	13	39	27	44	28	31	22	38	7	54	14	53	28	48	35	45	35	34	4	70	16	44	38	38	35	27	24	38	11	72	3	99	11	89	14	63	13	49	35	29	7	51	8	47	14	57	16	77	33	67	6	98	32	33	12	56	16	50	56	34	45	65	5	79	38	47	0	.	1	99	11	58	47	47	41	45	12	44	44	38	7	93	46	38	3	45	2	65	11	34	68	43	51	37	19	28	38	37	22	31	17	59	40	37	20	31	0	.	17	5
	oak	16	28	35	39	9	41	22	38	0	.	0	99	1	58	1	59	15	21	1	100	18	30	34	96	21	51	0	.	5	70	5	48	8	52	12	44	594	24	0	.	0	100	5	85	0	100	6	66	1	100	9	32	8	39	8	62	2	63	54	51	0	.	6	68	0	.	0	.	2	98	0	.	0	99	15	88	8	64	0	.	3	60	2	70	28	23	3	56	10	56	10	67	27	52	1	77	0	.	3	98	9	50	24	38	23	31	0	.	0	.	0	.	7	53	26	35	48	28	20	75	35	46	12	45	3	75	0	.	3	98	32	60	24	67	0	.	17	79	0	.	17	70	37	36	104	50	0	.	92	43	5	77	13	39	104	38	6	56	0	.	32	35	2	52	6	58	8	33	1	98	1	98	2	76	3	99	8	48	15	35	25	39	21	46	0	.	11	8
	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	39	1	63	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	99	25	42	61	47	86	37	147	23	213	17	25	37	87	30	192	22	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	99	0	.	6	97	0	.	0	.	1	100	0	.	2	53	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	9
	other broadleaves	42	29	78	24	29	33	14	58	24	51	14	50	22	17	15	23	18	27	22	20	68	29	32	49	37	30	0	.	48	53	19	37	13	28	21	40	44	47	26	29	15	35	14	52	41	28	42	18	12	35	38	18	20	27	5	42	34	44	31	40	7	54	52	88	23	80	11	44	34	41	39	49	20	33	4	77	94	45	38	34	46	42	21	30	9	41	12	34	18	33	47	35	35	28	26	29	26	33	55	61	61	36	48	36	39	43	66	43	53	23	35	33	120	23	154	18	158	17	132	21	60	28	93	19	27	47	90	63	26	43	48	38	70	32	34	32	28	43	86	83	14	43	87	67	13	35	8	40	27	52	12	37	30	67	58	44	29	39	7	93	29	75	40	25	24	30	46	21	8	39	29	40	27	46	22	32	9	37	59	34	39	45	72	44	0	.	36	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	389	6	463	8	442	13	435	8	621	12	609	10	445	4	445	4	442	4	538	5	273	14	439	12	456	9	680	.	504	13	547	9	552	8	508	8	770	15	477	11	379	7	403	7	347	8	403	5	392	5	469	5	471	9	456	6	580	7	361	11	423	12	559	10	358	16	447	9	569	9	531	11	476	10	474	9	577	11	482	9	488	12	533	8	539	9	348	9	510	8	424	11	547	8	416	10	508	11	449	9	456	9	459	11	367	13	219	15	273	10	310	12	381	11	525	9	552	8	407	9	425	12	507	8	523	13	459	17	541	11	410	12	365	13	543	12	486	11	337	26	409	10	592	13	462	12	364	8	373	11	499	7	454	9	522	10	464	19	301	14	504	12	389	6	407	6	434	6	424	12	436	16	383	9	443	10	408	8	426	12	444	10	468	11	0	.	446	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. 2297652. Birmensdorf, Swiss Federal Research Institute WSL

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