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 NFI4/NFI5 #2282
Forest that was less than two-thirds covered with shrubs in both NFI4 (2009-2017) and NFI5 (2018-2026) and is accessible on foot.

1.4 km grid, subgrids 1-5 #1746
Sub-grids 1, 2, 3, 4 and 5 of the field surveys on the sampling grid with a mesh size of 1.4 km (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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NFI5
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 NFI4/NFI5
grid: 1.4 km grid, subgrids 1-5
state 2018/26
		forest district (2024)
		AG01		AG02		AG03		AG04		AI01		AR01		BE01		BE02		BE03		BE04		BSBL01		BSBL02		BSBL03		BSBL04		FR01		FR02		FR03		FR04		GE01		GL01		GR01		GR02		GR03		GR04		GR05		JU01		LU01		LU02		LU03		NE01		NE02		NE03		NE04		NE06		NW01		OW01		OW02		SG01		SG02		SG03		SG04		SG05		SH01		SO01		SO02		SO03		SO04		SZ01		SZ02		SZ03		TG01		TG02		TG03		TI01		TI02		TI03		TI04		TI05		TI06		TI07		TI08		TI09		UR01		UR02		UR03		VD02		VD03		VD04		VD05		VD06		VD07		VD08		VD09		VD11		VD12		VD14		VD15		VD16		VD18		VD20		VD22		VS01		VS02		VS03		ZG01		ZH01		ZH02		ZH03		ZH04		ZH05		ZH06		ZH07		lakes		Switzerland
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	.	18	57	0	.	25	70	70	49	29	42	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	416	34	19	91	284	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	.	49	43	12	82	24	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	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	.	0	.	89	36	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	119	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	.	21	94	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	44	32
	larch	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	92	50	0	.	108	72	133	23	130	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	.	170	.	153	40	237	59	294	69	0	.	0	.	387	4	350	.	40	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	125	21	155	25	10	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	143	9
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	91	45	0	.	203	70	73	37	141	23	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	91	0	.	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	29	99	32	250	52	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	103	15
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	87	0	.	0	.	5	97	12	47	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	41
	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	.	12	87	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	.	9	91	53	67	0	.	0	.	0	.	0	.	50	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	96	24	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	43
	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	.	225	27	0	.	337	24	282	14	403	9	0	.	0	.	0	.	0	.	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	.	569	18	412	33	631	60	0	.	0	.	387	4	350	.	90	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	289	19	282	14	309	56	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	350	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	.	338	11	104	61	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1429	.	0	.	0	.	395	53	298	13	252	29	360	13	283	22	265	17	0	.	0	.	0	.	70	.	0	.	0	.	0	.	0	.	0	.	801	50	136	25	946	27	0	.	80	.	220	45	0	.	620	.	0	.	0	.	0	.	0	.	0	.	111	56	0	.	0	.	0	.	0	.	0	.	187	29	247	21	209	29	0	.	0	.	0	.	57	57	66	80	850	.	160	.	470	3	323	48	380	32	157	30	92	22	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	410	.	0	.	0	.	0	.	0	.	181	18	234	23	268	19	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	273	6
	fir	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	65
	pine	0	.	0	.	0	.	0	.	0	.	0	.	12	57	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	98	0	.	0	.	10	72	43	43	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	60	73	314	89	39	89	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	104	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	74	6	68	13	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	30
	larch	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	52	39	56	11	79	64	38	70	19	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	64	83	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	56	54	156	47	194	34	130	71	0	.	0	.	287	26	132	19	20	.	0	.	0	.	0	.	20	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	149	21	66	20	32	29	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	63	11
	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	.	5	72	30	44	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	50	30	60	3	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	30
	other conifers	0	.	0	.	0	.	0	.	0	.	0	.	13	91	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	98	0	.	0	.	8	98	8	54	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	88	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	39	87	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	99	0	.	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	39
	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	.	15	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	.	1	100
	maple	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	32	88	0	.	0	.	0	.	4	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	.	73	96	0	.	0	.	0	.	0	.	7	97	0	.	0	.	0	.	0	.	0	.	0	.	21	55	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	.	4	64
	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	.	16	57	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	72	5	95	2	98	6	68	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	89	29	82	0	.	0	.	0	.	12	94	0	.	50	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	23	56	0	.	75	71	0	.	0	.	7	96	0	.	0	.	0	.	0	.	25	67	0	.	0	.	25	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	64	19	61	20	77	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	22
	indeterminable	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	total	0	.	0	.	0	.	0	.	0	.	0	.	380	10	113	62	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1429	.	0	.	0	.	426	47	355	12	296	22	373	12	381	17	415	13	0	.	0	.	0	.	70	.	0	.	0	.	0	.	0	.	0	.	895	50	492	56	984	28	0	.	80	.	296	37	0	.	670	.	0	.	0	.	0	.	0	.	0	.	255	36	0	.	0	.	0	.	0	.	0	.	243	27	499	20	402	22	205	19	0	.	0	.	373	20	198	39	870	.	160	.	470	3	348	44	400	27	178	31	117	33	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	410	.	0	.	0	.	0	.	0	.	354	13	359	16	340	15	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	379	4
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	.	283	12	161	37	0	.	50	70	0	.	0	.	0	.	0	.	220	.	891	22	126	20	340	2	0	.	287	37	288	15	386	20	269	14	313	10	206	16	0	.	307	77	0	.	456	20	0	.	0	.	0	.	100	.	0	.	278	11	578	16	250	16	0	.	703	7	231	42	410	.	53	41	0	.	0	.	0	.	0	.	0	.	218	21	520	33	276	4	0	.	0	.	0	.	170	37	380	48	206	21	0	.	0	.	0	.	62	69	38	92	284	44	342	32	645	22	357	22	302	19	208	16	386	33	0	.	0	.	604	53	0	.	0	.	0	.	0	.	90	.	202	53	0	.	0	.	0	.	0	.	139	20	257	22	270	14	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	269	4
	fir	0	.	0	.	0	.	0	.	0	.	0	.	39	39	0	.	0	.	0	.	0	.	0	.	0	.	0	.	160	.	0	.	0	.	0	.	0	.	0	.	6	57	3	97	4	79	13	40	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	23	77	64	59	15	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	86	24	53	0	.	0	.	0	.	0	.	1	97	124	45	37	97	0	.	0	.	0	.	12	68	48	91	9	91	73	57	0	.	65	52	63	75	20	41	188	52	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	84	27	46	24	43	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	15
	pine	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	49	69	25	48	1	99	26	47	37	39	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	70	88	0	.	0	.	0	.	0	.	0	.	0	.	16	60	0	.	0	.	0	.	0	.	0	.	0	.	14	89	0	.	0	.	65	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	78	42	46	37	38	42	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	18
	larch	0	.	0	.	0	.	0	.	0	.	0	.	3	73	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	72	15	55	12	76	24	37	53	27	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	40	93	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	29	37	17	74	18	68	72	66	0	.	0	.	227	22	96	52	143	69	0	.	0	.	0	.	102	58	0	.	29	90	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	94	22	58	28	42	33	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	35	11
	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	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	74
	other conifers	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	.	7	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	.	27	95	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	.	1	62
	beech	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	98	12	74	1	99	1	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	.	0	.	0	.	0	.	0	.	31	91	0	.	0	.	31	94	66	47	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	99	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	36
	maple	0	.	0	.	0	.	0	.	0	.	0	.	34	31	0	.	0	.	59	71	0	.	0	.	0	.	0	.	0	.	0	.	12	86	0	.	0	.	56	92	6	55	3	97	5	57	9	63	1	99	0	.	0	.	0	.	32	86	0	.	0	.	0	.	0	.	0	.	89	8	0	.	11	65	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	28	62	0	.	0	.	0	.	0	.	0	.	44	88	0	.	0	.	8	92	0	.	0	.	0	.	0	.	0	.	0	.	16	83	5	95	13	92	55	84	6	95	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	40	0	.	0	.	0	.	0	.	6	99	15	58	59	44	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	15	18
	ash	0	.	0	.	0	.	0	.	0	.	0	.	0	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	35	54	2	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	.	0	.	15	97	0	.	5	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	95	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	48	27	59	10	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	28
	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	.	4	77	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	79
	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	.	22	89	27	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	.	0	.	0	.	0	.	0	.	0	.	1	79
	other broadleaves	0	.	0	.	0	.	0	.	0	.	0	.	36	40	0	.	0	.	50	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	16	92	2	98	11	66	119	32	26	40	91	41	0	.	23	77	0	.	38	54	0	.	0	.	0	.	0	.	0	.	23	77	0	.	0	.	0	.	0	.	28	49	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	55	0	.	0	.	0	.	0	.	0	.	208	52	0	.	20	50	9	92	0	.	0	.	75	49	0	.	86	76	58	90	0	.	17	67	0	.	22	72	25	93	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	63	29	75	31	53	37	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	48	13
	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	.	399	9	161	37	0	.	160	18	0	.	0	.	0	.	0	.	380	.	891	22	137	18	340	2	0	.	359	25	359	14	455	17	446	11	415	8	389	11	0	.	330	77	0	.	526	21	0	.	0	.	0	.	100	.	0	.	412	3	641	16	276	12	0	.	703	7	306	30	410	.	53	41	0	.	0	.	0	.	0	.	0	.	341	20	544	30	276	4	0	.	0	.	0	.	467	24	559	32	314	16	121	37	0	.	0	.	407	6	248	29	536	32	474	34	661	21	537	16	480	25	309	28	634	37	0	.	0	.	604	53	0	.	0	.	0	.	0	.	90	.	233	49	0	.	0	.	0	.	0	.	415	11	516	11	497	11	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	425	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	20	90	0	.	0	.	25	67	304	18	170	22	156	13	105	15	179	26	84	17	313	68	25	87	30	35	0	.	225	48	190	29	128	26	198	28	0	.	112	20	260	24	113	31	107	41	52	78	0	.	40	23	123	33	140	29	197	18	113	57	185	21	70	50	103	34	99	20	166	43	356	45	89	26	200	29	178	39	135	28	107	28	113	15	83	34	70	46	62	64	141	91	28	54	123	30	185	18	93	22	176	33	0	.	65	70	0	.	436	76	0	.	0	.	1	97	0	.	14	69	10	97	66	59	110	44	219	37	71	38	31	50	67	32	152	59	215	30	0	.	123	37	0	.	64	48	219	12	144	37	135	33	138	42	102	66	121	56	11	47	58	50	0	.	25	71	85	27	155	25	72	50	183	58	103	34	156	42	0	.	0	.	0	.	0	.	122	4
	fir	54	90	0	.	0	.	25	42	52	31	105	34	37	26	129	11	168	24	106	14	10	74	17	87	87	44	0	.	105	73	30	42	86	36	103	36	0	.	16	44	14	74	15	42	11	84	43	54	0	.	139	15	127	32	241	31	109	21	82	41	79	28	131	34	84	34	166	25	36	35	54	79	81	34	50	26	8	59	39	29	59	46	39	18	8	73	126	57	33	50	20	64	99	49	99	38	47	34	57	30	63	49	0	.	0	.	0	.	20	94	0	.	0	.	0	.	0	.	34	69	9	64	47	46	170	26	0	.	137	58	64	43	58	62	113	39	30	44	0	.	84	22	450	.	115	72	35	35	105	38	144	22	52	36	111	73	54	42	122	65	16	83	0	.	0	.	53	35	108	36	11	65	37	46	45	23	26	34	0	.	0	.	0	.	0	.	76	5
	pine	0	.	0	.	0	.	10	92	0	.	0	.	1	100	4	84	4	84	19	50	52	68	0	.	4	96	0	.	0	.	1	97	0	.	0	.	0	.	0	.	0	.	9	51	0	.	0	.	0	.	8	45	1	98	0	.	0	.	0	.	4	98	0	.	0	.	5	98	0	.	0	.	0	.	1	97	0	.	18	78	0	.	1	98	8	53	8	78	10	69	8	91	8	60	0	.	1	98	0	.	5	68	0	.	10	52	0	.	0	.	0	.	0	.	11	98	0	.	0	.	0	.	0	.	0	.	0	.	5	89	0	.	0	.	0	.	0	.	20	.	1	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	37	88	0	.	0	.	0	.	52	64	0	.	8	94	33	60	4	49	6	62	0	.	0	.	0	.	0	.	5	21
	larch	4	90	0	.	0	.	13	92	0	.	0	.	2	60	0	.	2	99	0	.	0	.	0	.	4	64	0	.	0	.	0	.	0	.	15	94	0	.	1	99	1	97	9	71	4	90	3	96	0	.	0	.	5	98	1	98	1	99	0	.	0	.	0	.	2	96	0	.	0	.	0	.	0	.	1	97	0	.	4	69	0	.	0	.	2	95	0	.	0	.	0	.	0	.	0	.	0	.	2	97	0	.	0	.	98	83	0	.	7	94	0	.	7	81	0	.	7	67	42	43	17	82	17	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	93	0	.	3	93	0	.	0	.	0	.	25	71	7	61	2	96	2	94	0	.	6	98	0	.	0	.	0	.	0	.	0	.	3	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	10	90	0	.	0	.	17	91	0	.	6	72	0	.	0	.	13	41	1	70	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	98	0	.	0	.	0	.	0	.	0	.	2	73	3	97	6	84	1	99	0	.	0	.	8	92	0	.	0	.	0	.	0	.	2	98	11	75	4	96	0	.	7	66	0	.	0	.	7	97	3	97	58	59	0	.	0	.	0	.	3	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	93	0	.	0	.	0	.	25	67	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	91	0	.	0	.	0	.	124	71	0	.	0	.	0	.	19	56	30	78	9	70	0	.	0	.	0	.	0	.	3	22
	beech	96	30	50	.	0	.	113	28	43	45	45	31	106	22	93	14	69	18	170	14	114	9	230	24	228	29	0	.	52	48	81	43	117	27	40	51	0	.	72	22	90	34	101	32	14	55	220	25	0	.	125	18	83	28	29	37	100	24	54	35	49	26	91	17	109	36	48	34	168	33	58	53	171	22	84	26	154	47	150	30	204	34	119	21	245	27	265	24	203	22	89	28	147	27	121	21	35	40	101	27	57	27	0	.	128	63	0	.	67	60	0	.	263	37	209	33	391	23	308	24	467	24	166	35	179	37	0	.	69	61	140	34	77	38	116	41	39	33	0	.	136	24	230	.	69	34	59	23	69	28	81	25	54	36	79	42	73	54	163	47	129	83	0	.	225	8	178	28	34	36	83	50	54	38	94	21	138	40	0	.	100	.	120	.	0	.	121	4
	maple	40	47	0	.	0	.	17	91	5	76	60	36	55	27	14	24	7	52	38	22	0	.	75	38	68	35	0	.	35	56	22	48	47	32	9	81	0	.	56	28	17	49	19	71	64	86	11	70	0	.	32	24	29	34	6	58	29	25	106	70	38	28	30	80	68	51	10	47	51	26	10	60	62	67	30	38	31	39	39	38	50	41	52	24	12	95	52	41	48	47	39	39	44	56	36	39	35	40	41	81	72	53	0	.	39	56	0	.	41	94	0	.	9	70	8	96	54	95	16	42	13	97	7	66	89	32	21	58	0	.	138	39	74	41	95	39	35	66	0	.	26	29	20	.	37	73	11	49	18	36	16	45	44	62	52	71	0	.	0	.	355	58	0	.	50	71	55	34	18	39	34	49	48	70	45	28	23	48	0	.	0	.	0	.	0	.	36	6
	ash	10	90	0	.	0	.	10	92	0	.	27	42	14	51	10	43	9	47	14	46	0	.	0	.	14	49	0	.	0	.	0	.	54	31	10	51	0	.	26	33	9	97	2	98	0	.	46	52	0	.	21	34	13	62	9	43	9	48	16	93	3	73	0	.	4	96	2	98	97	62	0	.	21	53	38	53	21	56	12	60	15	65	35	37	11	95	10	56	7	68	29	44	11	70	36	42	18	82	8	56	30	34	0	.	17	88	0	.	0	.	0	.	10	67	3	97	19	82	21	68	0	.	0	.	46	60	118	41	0	.	27	60	40	49	49	64	24	94	0	.	1	98	0	.	37	73	4	98	4	95	0	.	10	94	0	.	0	.	0	.	29	83	0	.	0	.	17	57	16	96	40	24	0	.	20	43	12	47	0	.	0	.	60	.	0	.	17	9
	oak	4	90	0	.	0	.	38	50	0	.	0	.	3	67	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	59	0	.	0	.	0	.	0	.	5	98	0	.	16	96	0	.	2	99	0	.	1	98	1	98	2	94	0	.	0	.	0	.	0	.	4	95	0	.	0	.	0	.	0	.	3	98	0	.	0	.	0	.	0	.	0	.	0	.	11	51	1	98	0	.	0	.	4	64	0	.	0	.	0	.	0	.	0	.	4	73	6	97	0	.	0	.	0	.	14	97	0	.	0	.	0	.	13	76	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	0	.	0	.	2	94	0	.	0	.	9	88	6	83	0	.	0	.	30	72	2	97	2	94	4	90	3	77	1	97	0	.	0	.	20	.	0	.	2	24
	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	.	15	94	0	.	0	.	8	97	0	.	1	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	66
	other broadleaves	66	43	0	.	0	.	69	67	0	.	18	52	44	30	11	33	1	99	17	30	26	68	22	51	28	48	0	.	12	88	26	61	34	47	36	47	0	.	28	50	26	48	36	79	0	.	88	47	0	.	41	29	26	53	9	68	26	53	0	.	21	50	0	.	0	.	11	55	66	37	6	95	29	36	3	97	25	74	39	59	14	80	15	31	2	95	19	45	6	66	90	67	12	65	32	31	36	56	65	56	0	.	0	.	0	.	0	.	186	73	0	.	144	31	162	36	76	29	172	35	49	39	96	33	23	53	274	62	0	.	10	63	26	61	106	54	30	70	0	.	47	74	0	.	7	93	18	52	4	96	17	63	6	94	38	91	11	93	13	85	6	83	0	.	0	.	42	29	16	54	64	47	0	.	26	43	3	97	0	.	0	.	120	.	0	.	34	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	304	19	50	.	0	.	337	20	405	14	432	13	418	9	367	6	452	14	450	7	516	48	369	14	463	12	0	.	429	19	350	15	471	12	411	15	0	.	312	11	418	14	310	15	200	30	480	12	0	.	410	7	407	16	441	17	472	9	373	16	380	11	329	19	369	15	342	11	589	14	484	32	455	12	418	15	423	20	440	14	456	21	373	9	371	18	557	15	372	16	472	25	360	17	448	15	357	12	371	16	407	19	0	.	356	21	0	.	771	60	0	.	437	20	408	17	546	15	608	13	565	18	413	13	616	19	631	22	282	43	424	14	348	16	631	16	373	19	20	.	444	14	700	.	328	35	345	9	344	13	393	13	310	20	382	29	270	36	354	32	600	21	0	.	448	32	519	11	352	11	317	17	378	17	376	16	374	18	0	.	100	.	320	.	0	.	419	2
submontane	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	42	47	98	30	104	43	47	44	0	.	0	.	92	40	65	31	95	18	130	.	18	95	73	57	13	58	0	.	36	59	59	65	0	.	114	80	0	.	0	.	58	62	110	74	0	.	0	.	0	.	31	35	12	54	171	28	56	76	0	.	0	.	103	28	40	.	0	.	0	.	0	.	500	71	107	41	139	90	35	71	0	.	0	.	89	37	46	37	4	89	93	75	16	47	214	66	0	.	0	.	123	49	109	28	66	45	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	93	77	71	.	20	0	27	57	155	77	0	.	10	89	37	52	0	.	165	49	23	50	0	.	10	90	3	91	42	69	29	65	36	58	0	.	57	79	0	.	0	.	0	.	0	.	111	41	52	26	357	44	90	44	23	67	123	69	86	30	0	.	75	8
	fir	23	85	2	72	27	66	43	33	0	.	0	.	0	.	97	31	67	18	0	.	11	63	19	57	62	36	0	.	75	72	0	.	0	.	22	90	0	.	0	.	40	84	33	62	0	.	0	.	0	.	108	25	117	40	126	29	248	52	16	92	0	.	259	59	150	.	0	.	0	.	0	.	210	71	18	82	0	.	0	.	57	86	0	.	13	70	66	41	4	89	11	57	36	90	0	.	0	.	10	71	56	68	68	44	27	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	295	64	71	.	27	64	67	56	0	.	0	.	75	59	40	91	40	82	14	60	87	74	0	.	10	90	3	91	59	56	12	91	52	76	0	.	51	52	0	.	0	.	0	.	40	79	3	93	30	70	0	.	38	42	9	69	2	95	15	75	0	.	47	9
	pine	6	99	3	72	1	97	0	.	0	.	0	.	37	92	0	.	6	56	0	.	5	93	16	57	28	41	0	.	3	92	16	68	0	.	19	60	0	.	0	.	29	48	70	73	0	.	0	.	0	.	2	54	0	.	19	49	0	.	15	92	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	40	4	95	12	59	20	96	18	83	0	.	0	.	0	.	4	96	7	71	6	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	64	.	49	64	0	.	0	.	0	.	0	.	8	91	0	.	0	.	10	87	0	.	14	64	0	.	5	93	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11	52	0	.	26	70	12	59	5	75	3	97	0	.	9	15
	larch	7	72	3	60	32	79	1	98	0	.	0	.	15	92	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	14	95	0	.	1	97	0	.	0	.	29	58	0	.	0	.	0	.	0	.	1	98	0	.	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	75	71	0	.	43	90	0	.	5	89	0	.	3	75	0	.	0	.	2	96	0	.	0	.	0	.	0	.	12	96	3	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	37	86	0	.	0	.	0	.	44	92	0	.	34	91	0	.	0	.	0	.	0	.	6	92	0	.	0	.	0	.	294	83	0	.	0	.	0	.	0	.	0	.	2	96	18	78	0	.	2	66	1	97	8	50	0	.	6	32
	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	.	3	97	10	68	0	.	0	.	0	.	0	.	3	45	0	.	0	.	0	.	0	.	280	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	97	3	97	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	18	90	75	71	0	.	0	.	2	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4	68	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	91	0	.	0	.	37	87	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	68	0	.	0	.	0	.	0	.	0	.	0	.	3	25
	beech	98	17	79	28	89	23	125	23	0	.	0	.	165	34	104	25	99	13	0	.	99	43	197	28	152	35	0	.	96	44	56	64	0	.	160	26	0	.	0	.	61	35	74	57	0	.	0	.	0	.	91	25	92	28	98	33	259	29	52	58	0	.	102	31	20	.	0	.	0	.	0	.	0	.	125	25	118	46	350	55	113	42	0	.	159	19	104	32	42	42	116	30	200	24	23	76	0	.	110	6	73	29	32	27	72	29	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	363	24	21	.	161	68	88	38	0	.	0	.	256	5	63	84	57	34	40	78	75	56	0	.	35	56	142	34	358	42	125	41	65	44	0	.	22	65	0	.	0	.	152	56	103	20	61	38	81	32	18	78	93	30	91	43	77	29	90	21	0	.	103	5
	maple	53	30	25	29	9	47	9	38	0	.	0	.	36	61	37	50	19	25	0	.	97	48	29	48	35	42	0	.	0	.	6	93	0	.	25	66	0	.	0	.	51	86	36	59	0	.	0	.	0	.	22	39	30	55	10	58	0	.	3	92	0	.	98	92	0	.	0	.	0	.	0	.	0	.	103	2	68	90	125	71	0	.	0	.	21	55	16	57	24	42	13	62	145	56	65	76	0	.	10	71	32	52	26	39	32	44	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	71	.	0	.	47	62	224	49	0	.	0	.	35	69	113	46	0	.	25	50	0	.	82	54	69	66	43	92	0	.	13	86	0	.	5	87	0	.	0	.	63	71	95	63	46	72	33	32	29	84	24	83	81	51	17	46	61	47	0	.	33	9
	ash	38	36	21	41	19	74	2	75	0	.	0	.	0	.	20	63	13	24	0	.	42	67	40	44	14	65	0	.	70	53	78	57	0	.	28	39	0	.	0	.	9	90	20	55	0	.	0	.	0	.	19	42	30	61	6	98	0	.	56	37	0	.	8	92	0	.	0	.	0	.	0	.	0	.	153	40	47	58	20	71	13	86	0	.	20	43	12	52	24	56	41	64	18	83	295	52	0	.	60	71	42	34	26	45	20	46	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	27	64	0	.	0	.	51	33	122	42	0	.	164	55	80	40	7	82	7	94	0	.	0	.	8	90	74	75	47	61	23	48	18	58	0	.	5	87	0	.	0	.	34	41	42	33	23	62	7	58	6	84	24	65	26	60	13	40	5	58	0	.	25	9
	oak	18	60	4	59	0	.	6	55	0	.	0	.	0	.	4	76	12	27	0	.	7	95	13	96	38	52	0	.	3	92	4	95	0	.	31	50	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	47	6	66	8	68	0	.	103	90	0	.	10	91	0	.	0	.	0	.	0	.	0	.	8	82	7	60	0	.	18	56	0	.	21	38	2	95	10	90	6	70	69	84	0	.	0	.	0	.	21	53	19	49	11	51	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	77	0	.	60	64	0	.	76	86	0	.	72	79	8	92	47	82	21	51	331	71	0	.	255	63	3	91	7	93	181	58	0	.	0	.	12	87	0	.	0	.	9	64	0	.	0	.	3	65	0	.	4	97	11	37	15	42	8	69	0	.	18	16
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13	86	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	85	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	64	84	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	80
	other broadleaves	30	31	63	28	43	34	9	60	0	.	0	.	54	35	34	45	39	27	100	.	71	33	22	47	4	96	0	.	51	91	43	58	0	.	37	47	0	.	0	.	98	56	49	69	0	.	0	.	0	.	26	47	44	47	4	57	28	65	0	.	0	.	16	92	250	.	0	.	0	.	0	.	25	71	0	.	64	48	70	20	130	86	0	.	13	50	30	67	0	.	52	43	5	95	159	29	0	.	0	.	107	66	58	39	22	37	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	88	10	71	.	109	64	122	41	57	67	0	.	90	54	99	71	17	82	38	57	25	87	0	.	135	61	46	45	40	93	17	91	10	87	0	.	0	.	0	.	0	.	105	32	0	.	32	93	63	61	70	84	14	55	22	35	50	34	45	51	0	.	40	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	317	14	297	14	327	13	253	15	0	.	0	.	398	17	361	13	354	7	230	.	349	20	410	23	347	15	280	.	334	25	276	34	0	.	436	20	0	.	0	.	388	21	392	17	0	.	0	.	0	.	314	10	334	14	446	12	591	5	245	28	0	.	598	27	460	.	0	.	0	.	0	.	810	34	515	5	504	46	675	49	336	48	0	.	366	13	281	21	121	25	354	20	508	21	757	36	0	.	190	11	470	15	347	14	261	17	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	896	4	371	.	426	12	439	14	638	33	0	.	666	20	426	19	280	27	320	30	612	42	0	.	549	27	341	17	607	26	387	22	194	11	0	.	445	46	0	.	0	.	428	21	280	22	276	17	293	15	499	18	312	21	277	19	304	24	322	12	0	.	359	3
hyperinsubric and colline	n/a	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	spruce	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	65	0	.	0	.	0	.	0	.	3	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	.	0	.	0	.	129	71	12	94	11	88	0	.	1	96	1	99	38	95	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	65	63	78	0	.	0	.	0	.	0	.	0	.	0	.	9	75	0	.	0	.	0	.	11	38
	fir	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	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	.	0	.	0	.	0	.	0	.	0	.	0	.	150	.	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	.	2	95	6	94	7	93	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	49
	pine	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	23	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	292	49	49	41	8	93	0	.	0	.	0	.	0	.	0	.	28	75	0	.	0	.	0	.	19	46
	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	.	9	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	64	2	94	15	63	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2	46
	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	.	6	95	4	96	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7	93	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	58
	beech	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	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	.	240	.	0	.	5	95	0	.	68	51	92	45	27	44	14	82	41	91	6	69	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	92	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	25
	maple	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	91	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	90	36	96	0	.	8	51	6	95	15	70	5	68	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	35	62	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8	37
	ash	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	93	0	.	0	.	0	.	0	.	22	65	0	.	0	.	0	.	0	.	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	.	94	95	10	90	23	60	36	86	36	42	72	54	11	65	43	39	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	.	0	.	0	.	0	.	17	66	16	94	19	62	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	34	24
	oak	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	105	45	0	.	0	.	0	.	0	.	0	.	83	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	.	50	.	0	.	5	95	0	.	26	51	49	45	68	33	96	91	51	32	22	63	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	220	13	0	.	0	.	350	.	0	.	0	.	0	.	66	57	152	42	35	74	0	.	0	.	0	.	0	.	0	.	100	53	0	.	0	.	0	.	56	17
	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	.	252	45	63	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	.	183	71	175	45	262	52	355	32	108	27	173	24	148	40	84	41	412	23	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	94	0	.	8	61	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	169	13
	other broadleaves	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	66	55	0	.	0	.	0	.	0	.	425	46	200	65	0	.	0	.	0	.	0	.	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	70	155	48	170	51	112	34	204	38	321	20	77	23	152	29	127	28	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	25	70	0	.	0	.	300	.	0	.	0	.	0	.	93	44	84	32	85	45	0	.	0	.	0	.	0	.	0	.	42	75	0	.	0	.	0	.	175	12
	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	.	250	31	0	.	0	.	0	.	0	.	703	24	355	12	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	540	.	405	39	445	25	466	21	620	17	491	19	635	10	457	19	357	17	615	13	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	246	19	0	.	0	.	700	.	0	.	0	.	0	.	542	23	371	25	225	23	0	.	0	.	0	.	0	.	0	.	179	4	0	.	0	.	0	.	504	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	39	44	95	30	104	43	43	41	304	18	170	22	241	7	101	13	116	15	84	16	73	77	60	52	21	31	0	.	118	40	276	25	158	26	164	32	20	65	166	21	260	10	228	16	283	10	238	10	159	13	37	19	85	32	155	20	218	16	66	61	185	21	86	27	98	30	99	20	273	37	409	19	245	26	187	27	230	28	161	21	96	29	123	17	87	28	60	34	49	64	111	59	22	40	141	20	239	20	113	20	148	29	109	28	63	40	163	25	258	30	144	20	14	99	1	69	1	99	35	37	15	56	75	40	174	27	355	22	255	25	144	25	148	18	222	32	151	34	31	54	146	35	146	51	49	43	219	12	95	40	98	34	126	29	58	56	91	51	11	47	57	49	130	13	196	17	182	12	122	29	89	32	89	39	129	30	124	32	21	64	115	69	82	30	0	.	147	3
	fir	27	67	2	72	27	66	41	30	52	31	105	34	26	23	117	10	93	15	102	14	11	54	19	48	74	29	0	.	94	44	15	45	73	36	56	36	14	93	12	44	7	48	10	36	3	67	11	33	0	.	130	13	116	25	182	23	99	21	54	41	79	28	193	41	82	32	166	25	32	31	47	48	68	32	45	26	5	63	25	31	56	41	35	19	11	58	100	43	26	49	14	44	70	44	65	39	43	32	44	32	59	42	68	44	28	61	1	98	22	50	18	98	0	.	0	.	1	99	14	63	11	69	17	48	148	26	6	96	58	42	59	34	24	49	125	34	44	40	34	93	73	22	65	74	105	55	35	35	70	40	100	26	44	35	54	71	53	38	122	65	36	48	5	82	15	43	23	28	90	36	7	58	32	50	40	24	32	28	8	70	2	96	14	75	0	.	45	4
	pine	5	99	2	72	1	97	2	99	0	.	0	.	5	43	3	84	6	49	18	50	14	70	12	59	17	41	0	.	2	96	6	66	0	.	9	62	23	93	0	.	20	54	18	38	1	99	16	42	57	24	6	41	1	99	10	52	0	.	6	97	4	98	0	.	0	.	5	98	9	96	65	98	5	99	1	98	0	.	11	79	0	.	1	98	20	37	6	62	10	53	16	80	13	58	25	64	1	99	0	.	5	57	7	71	7	58	0	.	2	70	19	78	0	.	6	99	0	.	0	.	0	.	2	99	0	.	5	96	30	54	0	.	0	.	0	.	0	.	10	67	1	98	0	.	3	96	0	.	4	74	0	.	2	98	0	.	0	.	37	88	0	.	57	32	29	31	30	35	0	.	4	97	17	42	3	50	16	59	14	49	5	75	3	97	0	.	12	10
	larch	7	66	3	60	32	79	3	81	0	.	0	.	2	41	0	.	1	79	0	.	0	.	0	.	2	68	0	.	0	.	4	98	0	.	7	89	0	.	0	99	12	34	16	37	14	48	43	20	86	11	0	100	3	99	2	75	1	99	0	.	0	.	0	.	1	97	0	.	0	.	0	.	4	99	1	98	12	97	20	58	1	98	0	.	3	62	0	.	0	.	1	97	0	.	0	.	0	.	2	98	6	98	3	98	14	98	40	31	64	38	84	37	35	49	0	.	2	59	135	19	41	35	24	59	0	.	0	.	0	.	39	54	0	.	10	97	0	.	38	93	0	.	30	92	0	.	0	.	0	.	0	.	3	70	0	.	2	96	0	.	167	91	114	13	66	16	26	23	1	97	1	97	1	97	7	76	0	.	2	67	1	97	8	50	0	.	21	6
	Arolla pine	0	.	0	.	0	.	0	.	0	.	0	.	0	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	66	0	.	5	99	10	38	60	22	0	.	0	.	0	.	0	.	0	.	0	.	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	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	30	21	35	6	77	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	5	15
	other conifers	2	69	0	.	3	97	11	56	0	.	6	72	4	80	0	.	6	31	1	70	0	.	0	.	0	.	280	.	0	.	0	.	0	.	0	.	0	.	1	99	6	89	0	.	0	.	2	76	7	36	2	74	2	70	4	66	1	99	0	.	0	.	4	96	0	.	0	.	0	.	2	98	1	99	10	76	7	73	4	76	5	67	0	.	2	99	4	98	2	98	22	65	0	.	5	98	0	.	2	98	0	.	0	.	4	68	0	.	0	.	0	.	0	.	0	.	0	.	1	99	2	99	0	.	0	.	0	.	11	98	0	.	2	98	0	.	0	.	11	93	21	67	0	.	13	96	0	.	0	.	0	.	0	.	0	.	5	94	0	.	0	.	1	100	3	100	1	57	0	.	0	.	14	48	27	79	5	72	0	.	0	.	0	.	0	.	3	15
	beech	98	15	78	27	89	23	124	20	43	45	45	31	47	21	90	12	92	11	163	14	102	34	206	21	187	23	0	.	72	38	58	37	100	27	98	26	0	.	55	23	25	34	49	30	1	59	20	36	0	.	115	15	82	20	64	28	93	22	53	31	49	26	96	18	94	37	48	34	127	35	20	59	112	25	90	22	117	37	108	29	176	31	106	22	183	16	197	22	166	22	106	22	171	18	80	24	30	40	86	26	65	21	32	27	86	25	0	.	15	62	0	.	139	34	153	28	108	30	126	27	207	28	59	39	140	33	2	96	29	56	76	33	23	47	64	45	107	28	54	86	118	24	62	56	71	30	59	23	53	27	93	22	154	44	95	32	70	39	163	47	68	75	0	.	9	59	55	28	41	30	74	35	73	27	86	21	116	27	80	44	79	27	91	20	0	.	73	3
	maple	51	27	24	29	9	47	10	37	5	76	60	36	33	20	17	24	16	23	38	21	79	50	41	33	50	27	0	.	12	70	13	45	42	31	17	54	8	91	53	26	8	41	12	50	6	59	7	48	0	100	29	21	27	31	8	44	27	25	63	72	38	28	63	74	58	52	10	47	47	24	4	70	42	65	40	28	36	54	29	36	38	43	46	24	19	48	37	37	42	42	23	36	90	45	31	32	29	41	32	80	51	40	26	39	32	38	26	89	29	76	2	99	17	71	4	98	18	66	9	37	10	61	5	48	51	37	20	42	2	98	72	38	80	36	55	42	24	68	30	71	33	30	2	94	33	56	11	49	32	42	29	48	39	48	22	79	4	96	0	.	156	72	2	100	8	53	43	27	27	47	39	44	37	33	43	27	23	48	72	52	16	47	58	48	0	.	25	5
	ash	35	35	20	41	19	74	3	60	0	.	27	42	5	51	11	36	12	22	14	46	34	68	29	46	14	42	0	.	39	59	24	63	46	32	19	34	14	93	19	34	3	84	3	56	21	55	7	41	0	.	20	27	19	46	7	49	7	48	33	41	3	73	4	96	3	97	2	98	73	63	0	.	14	54	54	40	25	43	8	56	14	55	31	37	17	39	11	39	11	46	36	47	14	57	42	44	15	82	12	53	36	25	26	45	22	37	9	98	25	99	4	71	12	47	19	81	32	39	22	46	4	69	21	43	29	56	59	50	0	.	21	41	33	39	27	68	68	53	68	43	1	68	6	94	24	76	4	98	5	67	19	82	21	56	15	45	6	71	0	.	15	75	11	45	14	54	11	39	19	69	32	26	5	60	19	42	18	46	23	61	12	40	8	50	0	.	15	6
	oak	16	58	4	59	0	.	11	41	0	.	0	.	1	67	1	79	9	27	0	.	5	96	9	97	21	55	0	.	2	95	1	99	5	59	15	54	105	45	0	.	0	.	2	99	0	.	1	100	1	100	5	44	3	69	5	62	1	99	45	93	0	.	5	96	0	.	0	.	3	96	0	.	0	.	1	98	2	68	2	99	4	72	0	.	15	39	1	98	2	98	4	72	38	73	1	99	0	.	0	.	13	49	19	49	10	45	0	.	1	99	0	.	10	47	27	43	53	34	19	95	18	39	16	53	3	98	0	.	5	98	6	80	12	98	0	.	23	88	7	93	5	86	19	52	114	82	0	.	88	56	1	98	4	74	116	52	0	.	9	88	10	67	5	65	16	46	10	56	1	98	1	97	3	53	3	78	3	78	21	49	14	42	9	61	0	.	8	11
	sweet chestnut	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	99	0	.	0	.	13	57	1	74	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	98	53	46	57	55	116	39	56	31	134	26	30	47	29	47	204	28	0	.	0	.	0	.	0	.	1	98	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	100	0	.	5	82	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	9	13
	other broadleaves	35	26	61	29	43	34	19	50	0	.	18	52	34	21	15	27	30	27	19	27	63	32	22	37	15	47	0	.	33	83	27	43	29	48	34	34	66	55	23	47	20	36	23	52	73	33	45	32	31	39	36	25	34	34	7	49	27	43	0	.	21	50	8	96	17	97	11	55	54	36	8	75	21	36	2	98	32	44	34	44	38	73	15	29	10	48	24	42	5	67	66	41	9	55	34	28	31	56	49	58	57	69	58	39	18	38	132	51	85	42	40	47	106	23	182	26	267	20	92	27	72	27	107	21	38	44	142	65	23	46	26	51	24	41	70	49	49	46	85	73	40	71	34	59	13	67	18	52	40	62	24	40	17	83	49	55	11	69	13	85	3	93	36	24	52	24	48	20	13	56	50	43	45	63	31	39	8	50	24	32	47	35	49	45	0	.	41	5
	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	315	12	290	14	327	13	266	13	405	14	432	13	401	5	354	5	378	7	439	7	380	20	399	18	400	10	280	.	371	15	425	15	453	12	420	12	250	31	331	11	366	7	361	10	408	8	412	6	402	6	381	6	372	11	444	10	474	8	320	15	380	11	459	20	355	14	342	11	619	16	555	16	511	12	431	13	467	18	403	12	428	18	357	10	367	10	439	14	314	17	398	16	428	14	425	13	387	12	339	14	440	12	347	14	285	14	388	19	555	19	372	11	448	13	448	13	615	9	483	8	408	13	529	10	583	15	590	14	413	16	441	11	346	16	573	18	465	16	368	24	439	14	364	26	426	29	345	9	387	14	365	11	411	19	410	17	243	26	354	32	512	26	380	7	428	8	441	7	314	14	299	12	317	12	389	14	344	13	265	18	291	24	322	11	0	.	405	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. 2278318. Birmensdorf, Swiss Federal Research Institute WSL

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