Selection from the list of topics

What do the numbers stand for?
What is the purpose of the standard error?
When are two results statistically different?
When is it not sufficient to consider only the standard error?
Two types of changes?
Change analyses: When are the results (not) additive?
Why is a dot (“.”) sometimes given in the cells for standard error or estimated value?
Why are no standard error values shown in some tables?
Negative values for growing stock, increment or fellings?

1. What do the numbers stand for?

The tables mainly show results that were calculated using statistical methods from the data of the sample inventory of the National Forest Inventory (NFI). Such results always consist of two figures: (1) the estimated value and (2) the sampling error, the so-called standard error.

Example 1: Estimated value and standard error

NFI5

volume of deadwood (stemwood)
ownership (2 categories)

regional demarcation: production region

unit: m³/ha

evaluation area: accessible forest without shrub forest

grid: 1.4 km grid, subgrids 1-5

state 2018/26
	production region
	Jura		Plateau		Pre-Alps		Alps		Southern Alps		Switzerland
ownership (2 categories)	m³/ha	±%	m³/ha	±%	m³/ha	±%	m³/ha	±%	m³/ha	±%	m³/ha	±%
public	30	10	17	13	37	9	36	6	26	10	30	4
private	27	17	20	12	50	10	32	8	39	13	34	5
total	29estimated value	9standard error	19	9	44	7	35	5	29	8	32	3

The tables usually show the relative (percentage) standard error (“±%”), but occasionally – in the case of estimated percentages – the absolute standard error (“±”).

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2. What is the purpose of the standard error?

The standard error can be used to define confidence intervals around the estimated value, which contain the true value of the population with a certain statistical certainty.

The statistical certainty is:

68% if the confidence interval is calculated using the standard error
(68% confidence interval = estimated value ± standard error), and
95% if the confidence interval is calculated using twice the standard error
(95% confidence interval = estimated value ± 2 × standard error*)

Example 2: Calculating confidence intervals

LFI5
volume of deadwood (stemwood)
ownership (2 categories)
regional demarcation: production region
unit: m³/ha
evaluation area: accessible forest without shrub forest
grid: 1.4 km grid, subgrids 1-5
state 2018/26
	production region
	Jura
ownership (2 classes)	m³/ha	±%
public	30	10
private	27	17
total	29	9

Question
What are the 68% and 95% confidence intervals of the above estimates?

Procedure

Calculate the absolute standard error (= relative standard error × estimated value / 100)
Calculate the confidence intervals
- 68% confidence interval = estimated value ± absolute standard error
- 95% confidence interval = estimated value ± 2 × absolute standard error

Answer

			Step 1	Step 2

ownership (2 categories)	volume of deadwood Jura NFI5
	estimated value	standard error		confidence interval
		relative	absolute	68%	95%
	m³/ha	±%	±m³/ha	m³/ha	m³/ha
public	30	10	3	27-33	24-36
private	27	17	5	22-32	17-37
total	29	9	3	26-32calculated with the standard error, i.e. 29 ± 3	23-25calculated with twice the standard error, i.e. 29 ± 2 × 3

The volume of deadwood in the Jura is between 26 and 32 m³/ha with a statistical certainty of 68% and between 23 and 35 m³/ha with a statistical certainty of 95%.

The 95% confidence interval is larger than the 68% confidence interval. This results in higher statistical certainty with the 95% confidence interval.

Example 3: Visualisation of the 68% and 95% confidence intervals

Data: see example 2

When interpreting the results, one must define the level of statistical certainty that one would like to apply to the statement.

The 68% confidence interval is generally used in the National Forest Inventory (NFI).

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3. When are two results statistically different?*

This can be checked by comparing the confidence intervals of two estimated values:

If the 68% confidence intervals of two estimates do not overlap, it can be assumed with some certainty that the two populations differ.
If the 95% confidence intervals of two estimates do not overlap, it can be assumed with high certainty that the two populations differ.

Example 4: Interpretation of two results from the same inventory

NFI5
growing stock (stemwood)
ownership (2 categories)
regional demarcation: production region
unit: m³/ha
evaluation area: accessible forest without shrub forest
grid: 1.4 km grid, subgrids 1-5
state 2018/26
	production region
	Jura		Plateau		Pre-Alps		Alps		Southern Alps		Switzerland
ownership (2 categories)	m³/ha	±%	m³/ha	±%	m³/ha	±%	m³/ha	±%	m³/ha	±%	m³/ha	±%
public	331	3	311	3	405	4	300	3	256	5	314	2
private	387	5	432	4	454	4	348	4	285	6	398	2
total	345	2	363	2	431	2	314	2	262	4	343	1

	case 2						case 1

case 1

Question
Is the growing stock per hectare greater in the Alps than in the Southern Alps?

Procedure

Calculate the absolute standard errors
Calculate the confidence intervals depending on the desired level of statistical certainty:
- 68% confidence intervals (some certainty; absolute standard error)
- 95% confidence intervals (high certainty; twice the absolute standard error)
Assess whether the confidence intervals corresponding to the desired level of statistical certainty do not overlap

Answer

ownership (2 categories)	growing stock NFI5
	Alps					Southern Alps
	estimated value	standard error		confidence interval		estimated value	standard error		confidence interval
		relative	absolute	68%	95%		relative	absolute	68%	95%
	m³/ha	±%	±m³/ha	m³/ha	m³/ha	m³/ha	±%	±m³/ha	m³/ha	m³/ha
total	314	2	6	308-320	302-326	262	4	10	252-272	242-282

Neither the 68%-confidence intervals nor the 95%-confidence intervals overlap (pairs of values in ).

In this case, the level of statistical certainty selected has no influence on the result.

Overall, this means that there is high statistical certainty that the growing stock per hectare is greater in the Alps than in the Southern Alps.

Case 2

Question
Is the growing stock per hectare greater in the Plateau than in the Jura?

Procedure

See case 1.

Answer

ownership (2 categories)	growing stock NFI5
	Jura					Plateau
	estimated value	standard error		confidence interval		estimated value	standard error		confidence interval
		relative	absolute	68%	95%		relative	absolute	68%	95%
	m³/ha	±%	±m³/ha	m³/ha	m³/ha	m³/ha	±%	±m³/ha	m³/ha	m³/ha
total	345	2	7	338-352	331-359	363	2	7	356-370	349-377

The 68%-confidence intervals do not overlap (pairs of values in ).
In contrast, the 95%-confidence intervals overlap (pairs of values in ).

In this case, the level of statistical certainty selected has an influence on the interpretation of the results. At the 68% confidence interval level, the conclusion is that the growing stock per hectare is higher in the Plateau than in the Jura. At the 95% confidence interval level, however, this conclusion cannot be drawn.

Considering both confidence interval levels, it can be said that there is some, but not high, statistical certainty that the growing stock per hectare is greater in the Plateau than in the Jura.

The confidence intervals can also be used to determine whether a value estimated with a sample from the National Forest Inventory (NFI) deviates from a target value (e.g. from Swiss forest policy) or whether a change between two inventories is statistically certain.

Example 5: Interpretation of two results from different inventories

ownership (2 categories)	growing stock Plateau*
	NFI4		NFI5
	m³/ha	±%	m³/ha	±%
public	340	3	309	3
private	447	4	432	4
total	386	2	363	2
* accessible forest without shrub forest NFI4/NFI5

Question
Has the growing stock per hectare in the Plateau decreased from NFI4 to NFI5?

Procedure

Calculate the absolute standard errors
Calculate the confidence intervals depending on the desired level of statistical certainty:
- 68% confidence intervals (some certainty; absolute standard error)
- 95% confidence intervals (high certainty; twice the absolute standard error)
Assess whether the confidence intervals corresponding to the desired level of statistical certainty do not overlap.

Answer

ownership (2 categories)	growing stock Plateau*
	NFI4					NFI5
	estimated value	standard error		confidence interval		estimated value	standard error		confidence interval
		relative	absolute	68%	95%		relative	absolute	68%	95%
	m³/ha	±%	±	m³/ha	m³/ha	m³/ha	±%	±	m³/ha	m³/ha
public	340	3	11	329-351	318-362	309	3	11	298-320	287-331
private	447	4	16	431-463	415-479	432	4	17	415-449	398-466
total	386	2	8	378-394	370-402	363	2	9	354-372	345-381
* accessible forest without shrub forest NFI4/NFI5

The 68%-confidence intervals do not overlap in the public forest (pairs of values in ), but they do in the private forest and the total forest (pairs of values in ). At the certainty level of the 68% confidence intervals, it can be concluded that the growing stock per hectare in the public forest of the Plateau has decreased. For the private forest, as well as for the total forest, the decrease is not statistically certain at this level.

The 95%-confidence intervals overlap in all three categories. At the certainty level of the 95% confidence intervals, it is therefore not certain that the growing stock has decreased, even for the public forest.

See also examples 6 and 7, in which changes between two inventories are interpreted using the more sensitive metric of net change.

For many target variables in the NFI, it is possible to determine whether a change between two inventories is statistically certain, not only by comparing the states in the two inventories (see example 5), but also by analysing the net change** between the two inventories.

To do this, one must first define the level of statistical certainty that one would like to apply to the statement (as done above):

A net change has occurred with some certainty if the relative standard error is less than 100% or if the confidence interval calculated with the absolute standard error (68% confidence interval) does not include the value 0.
A net change has occurred with high certainty if twice the relative standard error is less than 100% or if the confidence interval calculated with twice the absolute standard error (95% confidence interval) does not include the value 0.

Example 6: Interpretation of net changes with the relative standard error

ownership (2 categories)	change in growing stock from NFI4 to NFI5, Plateau*
	estimated value	standard error
	m³/ha	±%
public	-34	30
private	-9	147
total	-23	34
* accessible forest without shrub forest NFI4/NFI5

Question
Has the growing stock per hectare in the Plateau decreased from NFI4 to NFI5?

Procedure

Define the level of statistical certainty (68% or 95% confidence interval)
Determine whether:
- the relative standard error is less than 100% (certainty level of the 68% confidence interval)
- twice the relative standard error is less than 100% (certainty level of the 95% confidence interval)

Answer

ownership (2 categories)	change in growing stock from NFI4 to NFI5, Plateau*
	estimated value	standard error
		single	double
	m³/ha	±%	±%
public	-34	30	60
private	-9	147	294
total	-23	34	68
* accessible forest without shrub forest NFI4/NFI5

The single relative standard error is less than 100% for both the public forest and the total forest (highlighted values). For the private forest, however, it is greater than 100% (highlighted values). At the certainty level of the 68% confidence interval, it can be concluded that the growing stock in the Plateau has decreased in the public forest and in total. For the private forest, on the other hand, the decrease in stock is not statistically certain at this level.

The same conclusion is reached in this example with the certainty level of the 95% confidence interval, as twice the relative standard error is again less than 100% for both the public forest and the total forest.

Overall, this means that there is high statistical certainty that the growing stock per hectare has decreased in the public forest in the Plateau, as well as overall. For private forests, on the other hand, the decrease in stock is not statistically certain (as twice the relative standard error and the relative standard error are both less than 100%).

Example 7: Interpretation of net changes with the absolute standard error

ownership (2 categories)	change in growing stock from NFI4 to NFI5, Plateau*
	estimated value	standard error
	%	±
public	-10	3
private	-2	3
total	-6	2
* accessible forest without shrub forest NFI4/NFI5

Question
Has the growing stock per hectare in the Plateau decreased from NFI4 to NFI5?

Procedure

Define the level of statistical certainty (68% or 95% confidence interval)
Calculate the confidence interval based on the defined certainty level
- 68% confidence interval with the absolute standard error
- 95% confidence interval with twice the absolute standard error
Determine whether the corresponding confidence interval does not include the value 0

Answer

ownership (2 categories)	change in growing stock from NFI4 to NFI5, Plateau*
	estimated value	standard error		confidence interval
		single	double	68%	95%
	%	±	±	%	%
public	-10	3	6	-13 to -7	-16 to -4
private	-2	3	6	-5 to +1	-8 to +4
total	-6	2	4	-8 to -4	-10 to -2
* accessible forest without shrub forest NFI4/NFI5

Neither the 68% nor the 95% confidence interval includes the value 0 for the public forest or for the total forest. At both certainty levels, this leads to the conclusion that the growing stock in the Plateau has decreased in the public forest and in total. For the private forest, on the other hand, the decrease in stock is not statistically certain (as the confidence intervals include the value 0).

Net changes can be interpreted using the absolute or relative standard error (see examples 6 and 7). It is advisable to use the absolute standard error if the estimated value in the table is shown as a percentage (%; as in example 7), and the relative standard error if the estimated value in the table is shown in absolute terms (m³, m³/ha, pc, m²; as in example 6). This means that the standard error can be taken directly from the table and does not need to be converted.

To assess whether a change is statistically certain, it is advisable to analyse the net change between the two inventories wherever possible. Net changes are more sensitive than status comparisons, which makes it easier to detect differences statistically. See examples 6 and 7 (net change) and 7 (comparison of two results from different inventories).

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4. When is it not sufficient to consider only the standard error?

The National Forest Inventory (NFI) is a sample-based large-scale inventory whose sample areas are arranged on a grid with a mesh size of 1.4 km × 1.4 km. The NFI was designed in such a way that the growing stock for Switzerland as a whole can be predicted with a maximum standard error of 1%.

If results are requested for individual regions or for individual classes, the standard error quickly becomes much larger. This is because the number of sample areas and subjects (e.g. sample trees, young forest plants, pieces of deadwood) analysed for the queried combination of variable expressions* is considerably lower than for the total.

Example 8: Standard error and combination of variable expressions

region	growing stock
	total		maple		sycamore		Norway maple
	estimated value	standard error	estimated value	standard error	estimated value	standard error	estimated value	standard error
	m³/ha	±%	m³/ha	±%	m³/ha	±%	m³/ha	±%
Switzerland	343	1	12	5	11	5	1	20
production region "Plateau"	363	2	15	10	14	11	0	50
Canton of Aargau	289	7	15	20	13	20	1	63

The standard error increases as the level of detail increases.

Large standard errors are to be expected if:

forest districts are selected as the regional demarcation or results for small cantons (e.g. Appenzell Innerrhoden, Nidwalden) are queried,
a classification variable with many classes is selected (e.g. tree species in 56 classes),
several classification variables are combined with each other (e.g. main tree species and development stage).

Large standard errors are an indication that the estimate may have been based on too small a number of sample areas or subjects and that the result of the estimate therefore may not be reliable.

For the target variable “number of stems of young forest plants with browsing damage” (browsing intensity), an uncertain estimate is not necessarily recognisable by a large standard error. This is because this target variable is a quotient estimator**, which is – due to the survey method – only based on a small number of assessed young forest plants for rarer tree species (e.g. pine, larch, Arolla pine, oak, chestnut). Accordingly, for this target variable one should always check how many young forest plants were assessed for the individual estimates. As a rule of thumb, at least 30 young forest plants per estimate should have been assessed for browsing in order to obtain a reliable estimate.

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5. Two types of changes?

There are two types of changes in the National Forest Inventory (NFI):

The first type of change involves specific target variables for change components such as increment, fellings or mortality. These target variables are only available for two consecutive measurement cycles, e.g. NFI4 to NFI5. When change components are analysed, the classification variable expression of the second measurement cycle is generally assigned to the first measurement cycle. These analyses therefore do not take into account any change in the expression (e.g. from private to public ownership) from the earlier to the later measurement cycle.
In the second type of change, the difference in target variables, such as stem number, growing stock or forest area, is used to calculate the net change between two measurement cycles. These target variables are usually used to represent states, e.g. that in NFI5, but can also show the net change between any two measurement cycles, e.g. between NFI1 and NFI5. In these net change analyses, the change in expression is taken into account for some of the classification variables, including “tree condition” and “forest, non-forest”. In this way, it can be seen, for example, that the forest area has increased. For the remaining classification variables, the expressions are regarded as static. This means that the most recent state – whether it was assessed in a measurement cycle (e.g. “primary forest function NFI5”) or taken from an external data source (e.g. “protection forest [2022]”) – is assigned to all measurement cycles.

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6. Change analyses: When are the results (not) additive?

The results are:

additive if they are reported as the total change between two measurement dates. For example, the fellings for the various production regions reported in cubic metres (m³) can be added together to obtain the total fellings for Switzerland.
not additive if they are reported as a change per year (e.g. m³/year). For example, the fellings for the various production regions reported in cubic metres per year (m³/year) cannot be added together to obtain the total fellings for Switzerland.

Example 9: : Additivity/non-additivity of changes

	growing stock: total change between NFI4 and NFI5 (in 1000 m³)*
	Jura		Plateau		Pre-Alps		Alps		Southern Alps		Switzerland
higher/lower altitude zone	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%
lower altitude zone	-3759.0	28	-4909.1	36	-1025.2	133	-317.1	195	3464.1	31	-6546.3	42
higher altitude zone	574.3	117	-328.0	62	1093.0	123	7128.4	21	666.7	93	9134.3	24
total	-3184.7	40	-5237.1	34	67.9	2805	6811.3	23	4130.8	30	2588.1	136
	* accessible forest without shrub forest NFI4/NFI5
	additive

	growing stock: annual change between NFI4 and NFI5 (in 1000 m³/year)*
	Jura		Plateau		Pre-Alps		Alps		Southern Alps		Switzerland
higher/lower altitude zone	1000 m³/year	±%	1000 m³/year	±%	1000 m³/year	±%	1000 m³/year	±%	1000 m³/year	±%	1000 m³/year	±%
lower altitude zone	-421.1	28	-560.6	36	-115.7	133	-35.9	195	389.5	31	-740.7	42
higher altitude zone	64.7	117	-38.3	62	122.4	123	810.4	21	74.9	93	1032.7	24
total	-357.3	40	-598.4	34	7.6	2805	773.8	23	464.4	30	292.7	136
	* accessible forest without shrub forest NFI4/NFI5
	not additive

The non-additivity of changes expressed per year arises because the total change is divided by the average number of years between the two measurement dates in the domain* under consideration, and this average number of years varies slightly depending on the domain.

Example 10: Average number of years per domain

domain		mean number of years*
production region	higher/lower altitude zone
Mittelland	-	8.75
Plateau	higher altitude zone	8.56
Plateau	lower altitude zone	8.76
Southern Alps	-	8.90
Southern Alps	higher altitude zone	8.90
Southern Alps	lower altitude zone	8.89
* between the NFI4 and NFI5 measurements in the accessible forest without shrub forest

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7. Why is a dot (“.”) sometimes given in the cells for standard error or estimated value?

In the calculation of a results table, data is not always available for all combinations of variable expressions*. In most cases, this indicates that the variable estimated with the relevant target variable does not occur or only occurs very rarely. The value 0 is then usually used. However, as this value is not based on any direct measurements, a dot (“.”) is given for the associated standard error. If reference is made to the assumed value of 0 in the calculation, e.g. in the case of percentages or certain change estimates, no value can be used. In this case, a dot (“.”) is given for the estimated value and the standard error.

For example, no Arolla pines have yet been found and measured in the Plateau in the National Forest Inventory (NFI) (growing stock of Arolla pine by production region). It can therefore be assumed that the values are missing because the Arolla pine actually does not occur in the Plateau, and therefore the growing stock in that region must be 0.

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8. Why are no standard error values shown in some tables?

The data in these tables originates from a complete survey and not from a sample inventory. Accordingly, it is not necessary to specify a standard error because there is no uncertainty due to sampling.

The forest road network survey that the National Forest Inventory (NFI) periodically carries out with the local forestry services is an example of such a complete survey.

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9. Negative values for growing stock, increment or fellings?

A negative value is possible if the result could only be calculated on the basis of a few trees. The estimate is therefore not reliable. This is also reflected in the standard error, which is usually extremely large for negative stock, increment or felling values.

Negative values can occur because, when the stemwood volume of the tally trees is determined, the volume estimated solely on the basis of the diameter at breast height (DBH) (tariff volume) is adjusted using the volume of the tally trees estimated on the basis of DBH, diameter at 7 m height and tree height. This procedure enables an unbiased and more accurate calculation of the stemwood volume. However, it can lead to negative values for all target variables that are based on the stemwood volume of the tally trees (e.g. growing stock, increment, fellings) if the number of tally trees in the selected combination of variable expressions* is small.

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NFI5
growing stock (stemwood)
altitudinal vegetation belts (NaiS; 6 classes) · diameter at breast height (10 classes)
regional demarcation: forest district (2024)
unit: 1000 m³
evaluation area: accessible forest without shrub forest NFI1-NFI5
grid: 1.4 km grid, subgrids 1-5
state 2018/26
		forest district (2024)
		AG01		AG02		AG03		AG04		AI01		AR01		BE01		BE02		BE03		BE04		BSBL01		BSBL02		BSBL03		BSBL04		FR01		FR02		FR03		FR04		GE01		GL01		GR01		GR02		GR03		GR04		GR05		JU01		LU01		LU02		LU03		NE01		NE02		NE03		NE04		NE06		NW01		OW01		OW02		SG01		SG02		SG03		SG04		SG05		SH01		SO01		SO02		SO03		SO04		SZ01		SZ02		SZ03		TG01		TG02		TG03		TI01		TI02		TI03		TI04		TI05		TI06		TI07		TI08		TI09		UR01		UR02		UR03		VD02		VD03		VD04		VD05		VD06		VD07		VD08		VD09		VD11		VD12		VD14		VD15		VD16		VD18		VD20		VD22		VS01		VS02		VS03		ZG01		ZH01		ZH02		ZH03		ZH04		ZH05		ZH06		ZH07		lakes		Switzerland
altitudinal vegetation belts (NaiS; 6 classes)	diameter at breast height (10 classes)	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%	1000 m³	±%
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	.
	12-20 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	21-30 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	31-40 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	41-50 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	51-60 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	61-70 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	71-80 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	81-90 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.
	91-100 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	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	.
	12-20 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1	.	0	.	0	.	10	69	240	26	0	.	0	.	0	.	0	.	0	.	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	75	16	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	.	165	64	38	69	7	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	481	26
	21-30 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	10	.	17	66	446	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	.	48	71	33	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	.	191	44	94	42	15	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	853	17
	31-40 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	.	0	.	42	.	104	45	560	24	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	24	100	72	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	.	258	33	194	62	30	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1304	17
	41-50 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	21	.	0	.	0	.	116	44	710	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	.	27	100	12	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	.	300	36	169	53	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1355	17
	51-60 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	116	49	534	27	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	72	16	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	.	183	45	55	60	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	923	19
	61-70 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	.	0	.	0	.	43	100	220	34	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	102	50	84	63	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	479	24
	71-80 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	52	72	189	46	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	140	41	27	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	408	28
	81-90 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	35	100	197	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	.	46	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	278	48
	91-100 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	48	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	.	30	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	78	73
	>100 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	36	100	52	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	.	39	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	128	58
	total	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	71	.	0	.	52	.	529	45	3197	18	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	120	77	150	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	.	1454	27	660	42	52	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6286	13
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	.
	12-20 cm	0	.	0	.	0	.	0	.	0	.	0	.	237	23	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	36	91	136	35	14	64	65	43	164	37	296	39	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	61	97	31	74	60	78	0	.	0	.	5	150	0	.	16	.	0	.	0	.	0	.	0	.	0	.	4	100	0	.	0	.	0	.	0	.	0	.	29	65	59	52	56	64	0	.	0	.	0	.	37	55	12	100	0	.	0	.	19	100	50	74	0	.	8	76	7	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	.	0	.	0	.	0	.	0	.	293	33	179	32	118	46	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1994	11
	21-30 cm	0	.	0	.	0	.	0	.	0	.	0	.	518	23	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	46	100	208	35	100	63	158	35	387	31	587	27	0	.	0	.	0	.	11	.	0	.	0	.	0	.	0	.	0	.	71	74	91	100	117	68	0	.	0	.	66	116	0	.	50	.	0	.	0	.	0	.	0	.	0	.	8	100	0	.	0	.	0	.	0	.	0	.	0	.	194	45	118	61	0	.	0	.	0	.	130	70	15	71	0	.	7	.	33	76	49	73	22	.	14	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	.	0	.	0	.	0	.	0	.	475	27	354	33	230	34	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4072	9
	31-40 cm	0	.	0	.	0	.	0	.	0	.	0	.	1028	22	42	80	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	30	75	498	32	214	46	446	46	650	29	947	22	0	.	0	.	0	.	9	.	0	.	0	.	0	.	0	.	0	.	88	91	62	100	225	77	0	.	0	.	226	73	0	.	10	.	0	.	0	.	0	.	0	.	0	.	30	71	0	.	0	.	0	.	0	.	0	.	78	70	285	39	57	59	53	.	0	.	0	.	105	48	8	71	0	.	13	.	117	72	45	73	29	.	33	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	600	35	348	30	384	35	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6664	9
	41-50 cm	0	.	0	.	0	.	0	.	0	.	0	.	1399	22	21	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	48	61	573	27	228	45	624	36	630	30	1327	21	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	40	74	59	58	179	82	0	.	0	.	100	66	0	.	0	.	0	.	0	.	0	.	0	.	0	.	70	100	0	.	0	.	0	.	0	.	0	.	61	69	331	38	143	54	9	.	0	.	0	.	112	48	25	71	0	.	0	.	91	75	47	71	11	.	98	71	19	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	.	0	.	0	.	0	.	0	.	789	35	543	29	561	38	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8153	8
	51-60 cm	0	.	0	.	0	.	0	.	0	.	0	.	694	26	53	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	82	60	676	28	129	62	553	30	415	36	1056	23	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	27	100	12	100	23	100	0	.	34	.	120	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	38	71	0	.	0	.	0	.	0	.	0	.	148	56	324	41	147	68	0	.	0	.	0	.	141	59	13	100	0	.	0	.	79	81	13	100	21	.	0	.	20	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	33	.	0	.	0	.	0	.	0	.	698	27	447	36	672	33	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6666	9
	61-70 cm	0	.	0	.	0	.	0	.	0	.	0	.	438	31	22	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	82	74	303	42	73	58	464	40	171	42	785	33	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	47	100	0	.	71	100	0	.	14	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	110	79	0	.	0	.	0	.	0	.	0	.	95	60	90	62	67	58	0	.	0	.	0	.	72	75	21	100	0	.	36	.	69	76	0	.	0	.	34	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12	.	0	.	0	.	0	.	0	.	678	32	326	42	365	38	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4445	11
	71-80 cm	0	.	0	.	0	.	0	.	0	.	0	.	296	37	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	329	45	34	100	147	53	117	50	254	40	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	19	100	0	.	0	.	0	.	34	.	64	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	45	100	0	.	0	.	0	.	0	.	0	.	61	72	28	100	0	.	0	.	0	.	0	.	102	59	27	100	0	.	0	.	0	.	0	.	58	.	69	71	32	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	404	58	36	100	226	54	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2384	16
	81-90 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	81	71	223	76	46	100	29	100	35	100	140	78	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	43	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	35	100	0	.	0	.	23	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	384	44	34	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1072	27
	91-100 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	38	100	56	100	0	.	114	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	.	0	.	0	.	57	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	143	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	408	36
	>100 cm	0	.	0	.	0	.	0	.	0	.	0	.	36	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	155	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	38	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	.	229	53
	total	0	.	0	.	0	.	0	.	0	.	0	.	4646	20	138	93	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	443	64	3004	24	837	46	2753	27	2568	26	5391	18	0	.	0	.	0	.	20	.	0	.	0	.	0	.	0	.	0	.	354	71	255	81	676	63	0	.	82	.	621	65	0	.	75	.	0	.	0	.	0	.	0	.	0	.	349	72	0	.	0	.	0	.	0	.	0	.	473	56	1311	33	587	48	61	.	0	.	0	.	734	44	121	73	0	.	80	.	408	71	204	66	141	.	255	62	135	82	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	77	.	0	.	0	.	0	.	0	.	4464	22	2267	25	2557	28	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	36086	7
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	.
	12-20 cm	0	.	0	.	0	.	0	.	0	.	0	.	360	24	1	100	0	.	8	76	0	.	0	.	0	.	0	.	2	.	47	58	3	100	6	71	0	.	34	59	118	36	115	38	383	26	738	20	275	27	0	.	10	.	0	.	60	57	0	.	0	.	0	.	3	.	0	.	5	.	103	39	19	54	0	.	36	88	53	51	3	.	0	0	0	.	0	.	0	.	0	.	0	.	20	58	42	84	10	71	0	.	0	.	0	.	162	42	80	59	58	41	5	78	0	.	0	.	23	60	11	51	30	90	-1	3301	20	73	66	41	51	63	56	64	113	72	0	.	0	.	39	100	0	.	0	.	0	.	0	.	0	.	12	78	0	.	0	.	0	.	0	.	448	26	429	24	248	29	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4304	7
	21-30 cm	0	.	0	.	0	.	0	.	0	.	0	.	565	22	5	100	0	.	0	.	0	.	0	.	0	.	0	.	6	.	151	67	23	73	6	100	0	.	64	64	224	41	504	40	631	26	1143	19	563	24	0	.	36	.	0	.	69	55	0	.	0	.	0	.	0	.	0	.	5	.	295	43	47	52	0	.	56	76	70	50	0	.	0	.	0	.	0	.	0	.	0	.	0	.	26	60	104	58	6	100	0	.	0	.	0	.	106	45	120	57	103	39	11	71	0	.	0	.	81	56	89	55	111	67	69	63	59	90	299	41	66	72	59	54	227	66	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	33	100	0	.	0	.	0	.	0	.	649	24	1019	26	648	32	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	8349	7
	31-40 cm	0	.	0	.	0	.	0	.	0	.	0	.	934	20	101	66	0	.	10	100	0	.	0	.	0	.	0	.	34	.	182	68	39	66	78	71	0	.	84	70	409	32	537	35	506	24	1567	19	1140	25	0	.	49	.	0	.	59	59	0	.	0	.	0	.	0	.	0	.	14	.	294	41	113	49	0	.	47	100	56	55	31	.	10	100	0	.	0	.	0	.	0	.	0	.	104	59	123	68	38	100	0	.	0	.	0	.	118	64	104	54	272	52	50	75	0	.	0	.	222	47	67	60	118	68	71	73	127	92	322	43	139	55	135	56	165	57	0	.	0	.	17	100	0	.	0	.	0	.	0	.	0	.	53	82	0	.	0	.	0	.	0	.	972	27	985	25	750	24	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	11243	6
	41-50 cm	0	.	0	.	0	.	0	.	0	.	0	.	1080	23	172	66	0	.	1	100	0	.	0	.	0	.	0	.	67	.	187	68	104	61	75	73	0	.	126	71	962	32	370	30	619	28	1917	17	1479	21	0	.	13	.	0	.	115	60	0	.	0	.	0	.	0	.	0	.	21	.	213	45	134	53	0	.	56	100	26	100	85	.	0	0	0	.	0	.	0	.	0	.	0	.	210	58	64	100	73	83	0	.	0	.	0	.	116	62	107	55	381	40	22	100	0	.	0	.	131	53	87	65	120	70	123	74	265	93	264	52	190	89	423	59	201	55	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	42	72	0	.	0	.	0	.	0	.	858	27	985	24	881	23	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	13362	7
	51-60 cm	0	.	0	.	0	.	0	.	0	.	0	.	1513	22	44	73	0	.	11	100	0	.	0	.	0	.	0	.	111	.	106	63	111	72	115	71	0	.	76	51	770	32	234	45	1148	30	1817	20	1022	22	0	.	47	.	0	.	219	64	0	.	0	.	0	.	0	.	0	.	0	.	234	53	135	48	0	.	29	100	0	0	0	.	21	100	0	.	0	.	0	.	0	.	0	.	152	65	86	82	80	100	0	.	0	.	0	.	133	57	121	58	352	44	63	71	0	.	0	.	62	100	86	72	84	70	154	66	65	74	285	47	259	61	155	46	201	60	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	51	74	0	.	0	.	0	.	0	.	831	25	976	26	888	30	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	12848	7
	61-70 cm	0	.	0	.	0	.	0	.	0	.	0	.	924	26	45	100	0	.	0	.	0	.	0	.	0	.	0	.	35	.	0	.	46	100	26	100	0	.	179	71	420	36	146	56	502	40	1290	23	499	40	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	17	100	47	71	0	.	0	.	59	71	25	.	0	.	0	.	0	.	0	.	0	.	0	.	139	70	0	.	26	100	0	.	0	.	0	.	73	60	157	53	191	52	24	100	0	.	0	.	22	100	25	100	121	78	52	100	64	100	91	75	201	67	188	65	285	74	0	.	0	.	77	100	0	.	0	.	0	.	0	.	0	.	24	100	0	.	0	.	0	.	0	.	311	50	351	37	616	36	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	7300	9
	71-80 cm	0	.	0	.	0	.	0	.	0	.	0	.	741	30	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	29	100	85	100	0	.	299	62	230	45	0	.	487	38	505	33	155	51	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	91	58	108	72	0	.	0	.	0	.	0	.	37	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	195	83	203	84	106	78	25	100	0	.	0	.	29	100	58	71	65	100	30	100	0	.	49	100	68	71	87	71	0	.	0	.	0	.	54	100	0	.	0	.	0	.	0	.	0	.	28	100	0	.	0	.	0	.	0	.	361	45	227	50	424	39	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	4775	12
	81-90 cm	0	.	0	.	0	.	0	.	0	.	0	.	190	51	0	.	0	.	122	100	0	.	0	.	0	.	0	.	0	.	0	.	87	100	0	.	0	.	40	100	152	59	33	100	135	60	464	48	38	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	105	100	0	.	0	.	0	.	39	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	55	100	0	.	0	0	0	.	0	.	0	.	0	.	48	100	0	.	0	.	0	.	29	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	159	60	32	100	69	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1795	20
	91-100 cm	0	.	0	.	0	.	0	.	0	.	0	.	119	71	0	.	0	.	71	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	116	71	41	100	57	100	0	.	123	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	55	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	77	100	0	.	0	.	0	.	0	.	0	.	0	.	48	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	52	100	136	58	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	895	25
	>100 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	51	100	0	.	0	.	0	.	143	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	.	129	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	49	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	64	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	436	43
	total	0	.	0	.	0	.	0	.	0	.	0	.	6425	18	369	60	0	.	224	93	0	.	0	.	0	.	0	.	255	.	673	61	442	61	390	71	0	.	1068	52	3325	26	1996	29	4409	21	9707	13	5169	18	0	.	155	.	0	.	522	54	0	.	0	.	0	.	3	.	0	.	45	.	1352	40	603	47	0	.	223	81	357	59	144	.	68	100	0	.	0	.	0	.	0	.	0	.	652	48	420	58	233	78	0	.	0	.	0	.	1031	39	945	47	1463	34	200	71	0	.	0	.	648	48	423	57	697	61	499	60	601	79	1376	40	1004	53	1200	44	1192	52	0	.	0	.	186	82	0	.	0	.	0	.	0	.	0	.	242	61	0	.	0	.	0	.	0	.	4641	20	5140	19	4587	20	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	65306	5
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	.
	12-20 cm	18	61	0	.	0	.	28	68	66	53	157	44	487	27	754	17	463	35	686	19	44	100	35	62	94	49	0	.	10	78	101	30	284	34	119	51	0	.	161	28	109	40	90	34	20	64	134	39	0	.	532	17	243	41	178	47	435	22	61	60	184	27	25	58	114	40	206	30	156	39	98	62	148	37	146	45	62	44	297	36	115	47	188	27	69	60	159	40	151	41	83	55	64	39	167	37	76	41	117	54	45	90	0	.	31	84	0	.	87	67	0	.	171	40	131	40	92	44	286	37	224	39	110	41	157	42	67	61	15	95	100	39	42	61	67	62	8	237	0	.	193	31	8	.	48	62	173	28	66	48	166	51	53	53	29	63	39	62	21	61	64	80	0	.	16	.	250	28	51	47	63	43	28	85	185	34	128	50	0	.	0	.	4	.	0	.	11149	4
	21-30 cm	82	63	0	.	0	.	95	51	257	40	631	32	979	19	1523	16	759	29	1605	16	25	77	44	64	206	38	0	.	68	53	336	38	798	29	184	52	0	.	366	38	369	33	160	42	13	71	180	48	0	.	893	20	274	34	352	33	712	23	107	71	401	29	134	53	181	41	513	35	508	40	35	139	416	32	428	30	210	43	537	37	383	50	527	26	205	49	212	37	211	37	110	57	289	38	301	43	372	40	169	48	199	39	0	.	92	68	0	.	203	64	0	.	262	46	323	39	143	47	556	37	417	37	170	55	354	39	65	67	74	84	98	47	75	52	331	43	174	67	0	.	300	35	15	.	92	71	449	23	191	43	269	42	74	51	103	68	83	92	47	89	37	116	0	.	0	.	539	27	215	40	94	45	37	75	356	38	292	48	0	.	12	.	20	.	0	.	23921	4
	31-40 cm	48	73	20	.	0	.	44	60	817	31	952	26	1393	18	1737	17	686	27	2213	17	0	0	124	56	247	43	0	.	233	68	302	36	959	23	580	38	0	.	465	30	506	35	303	36	25	72	270	43	0	.	1706	19	398	32	568	36	1211	21	180	72	585	33	84	62	284	48	402	28	751	37	110	59	627	30	466	35	556	41	561	27	624	35	995	24	398	36	524	43	558	35	80	50	310	45	275	36	634	35	355	34	414	47	0	.	31	73	0	.	460	94	0	.	121	45	349	34	271	44	272	46	244	41	169	43	406	43	100	93	9	100	313	39	64	53	383	46	336	50	0	.	777	26	123	.	66	71	606	25	220	36	354	44	67	75	110	62	95	69	184	64	27	100	0	.	0	.	683	28	261	39	185	47	103	56	657	29	360	32	0	.	0	.	12	.	0	.	34000	4
	41-50 cm	176	51	0	.	0	.	161	57	866	30	990	26	1811	20	2524	16	998	29	2404	15	48	100	63	85	243	51	0	.	222	59	572	32	942	26	659	39	0	.	1030	25	624	35	314	34	69	77	230	41	0	.	2199	18	379	34	677	28	1160	22	188	53	632	31	211	46	292	39	856	26	599	36	73	53	829	29	868	33	622	37	694	26	490	44	1155	27	388	40	363	39	395	35	157	65	474	35	377	46	540	32	682	33	357	38	0	.	66	67	0	.	477	65	0	.	87	57	139	34	118	60	302	36	238	43	251	43	194	39	95	72	222	71	334	48	172	57	311	43	213	50	16	.	777	26	47	.	165	55	663	24	236	37	528	31	214	45	199	62	87	60	129	64	44	100	0	.	0	.	656	28	311	45	317	40	147	71	670	28	720	31	0	.	0	.	18	.	0	.	39762	3
	51-60 cm	197	81	0	.	0	.	313	53	820	34	1342	30	1889	20	3275	15	967	27	1662	18	48	100	40	100	304	51	0	.	119	68	562	35	1000	25	581	40	0	.	1030	26	263	40	670	32	41	100	172	66	0	.	1576	21	467	35	785	33	1546	23	205	43	621	34	157	52	187	43	941	26	276	45	69	63	715	35	857	34	291	42	766	29	842	31	1146	24	199	48	371	45	82	51	350	60	476	34	508	33	774	35	635	32	338	50	0	.	72	74	0	.	484	79	0	.	77	60	122	50	20	100	172	41	167	50	267	51	202	55	78	72	53	71	159	65	157	54	269	42	312	43	0	.	527	26	107	.	58	73	401	28	392	40	333	38	320	48	28	100	297	54	162	59	77	75	0	.	0	.	514	40	235	43	286	51	245	70	534	35	576	37	0	.	0	.	69	.	0	.	38247	4
	61-70 cm	72	100	0	.	0	.	57	100	509	37	468	42	1267	26	1962	20	560	29	708	26	0	.	35	100	101	76	0	.	34	100	329	41	336	37	256	36	0	.	404	36	251	41	565	30	32	100	106	50	0	.	925	26	448	51	873	37	663	31	31	100	297	49	114	73	191	56	592	37	397	46	0	0	381	47	296	48	286	80	382	45	518	44	1552	25	123	62	121	76	28	100	0	0	183	52	258	52	272	57	302	56	232	52	0	.	84	71	0	.	107	71	0	.	107	65	114	73	61	100	216	42	0	.	97	72	93	58	98	58	71	71	150	74	176	78	257	48	165	51	0	.	519	54	21	.	102	58	213	41	339	45	175	52	244	55	91	75	130	51	0	.	118	72	0	.	0	.	230	42	82	100	159	62	0	.	687	37	200	48	0	.	0	.	29	.	0	.	22649	5
	71-80 cm	30	100	0	.	0	.	111	58	138	58	211	46	456	38	1165	24	306	49	328	35	0	.	51	100	109	100	0	.	0	.	208	55	363	47	87	71	0	.	293	51	109	71	324	46	81	100	120	60	0	.	510	41	185	71	279	44	414	39	171	50	181	50	0	.	140	74	308	38	78	71	39	100	380	60	434	45	123	78	311	49	481	48	490	40	0	.	91	100	35	100	0	.	0	.	320	42	131	58	281	77	46	100	0	.	40	100	0	.	63	100	0	.	0	.	45	100	30	100	0	.	0	.	105	63	41	100	143	80	140	100	72	71	163	60	86	71	75	71	0	.	33	100	0	.	38	100	89	71	181	62	46	100	0	.	0	.	89	100	0	.	110	74	0	.	0	.	90	58	89	71	51	100	0	.	537	37	133	100	0	.	0	.	42	.	0	.	12449	7
	81-90 cm	0	.	0	.	0	.	0	.	49	100	0	.	91	100	588	34	454	42	0	.	0	.	0	.	0	.	0	.	0	.	175	71	112	71	64	100	0	.	64	100	59	100	88	71	0	.	31	100	0	.	104	71	0	.	238	50	0	.	159	73	115	72	0	.	122	71	0	.	0	.	0	.	40	100	189	72	0	.	95	77	135	58	315	47	0	.	0	.	62	100	0	.	0	.	69	100	84	100	39	100	0	.	0	.	0	.	0	.	81	100	0	.	28	100	73	71	0	.	89	71	0	.	0	.	0	.	0	.	53	100	63	100	0	0	0	.	121	73	0	.	0	.	0	.	0	.	0	.	0	.	0	.	49	100	0	.	0	.	0	.	78	100	0	.	0	.	0	0	0	.	135	71	76	100	97	71	0	.	0	.	0	.	0	.	0	.	4483	12
	91-100 cm	0	.	0	.	0	.	54	100	0	.	0	.	66	100	176	58	0	.	55	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	102	80	0	.	0	.	0	.	123	71	0	.	68	100	0	.	0	.	0	.	65	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	114	100	0	.	0	.	58	100	0	.	0	.	0	.	0	.	0	.	0	.	68	100	0	.	55	100	52	100	0	.	0	.	0	.	89	100	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	81	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	21	100	0	.	60	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	1308	23
	>100 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	133	100	72	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	185	71	58	100	0	.	0	.	0	.	70	100	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	0	.	0	.	61	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	68	100	0	.	0	.	0	.	0	.	111	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	.	757	35
	total	623	48	20	.	0	.	863	45	3520	29	4750	24	8439	15	13836	12	5264	20	9661	13	166	76	392	55	1304	42	0	.	687	54	2586	30	4794	19	2531	32	0	.	3914	21	2290	28	2513	26	279	67	1366	35	0	.	8698	15	2452	26	3949	25	6141	18	1167	39	3088	24	726	42	1510	35	3819	23	2765	30	424	46	3537	27	3798	26	2150	36	3642	23	3647	28	6429	19	1381	34	1840	31	1521	31	780	48	1796	30	2341	32	2884	26	2703	28	1682	35	0	.	415	50	0	.	2162	63	0	.	853	35	1296	31	733	39	1894	27	1289	33	1169	37	1447	36	646	55	638	59	1288	38	850	50	1704	35	1405	44	16	.	3126	23	321	.	568	44	2675	22	1626	34	1871	29	1022	40	561	55	821	40	544	60	555	66	0	.	16	.	2982	24	1244	37	1349	37	637	63	3724	23	2408	29	0	.	12	.	192	.	0	.	188726	3
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	.
	12-20 cm	268	30	232	29	175	45	125	35	0	.	0	.	48	45	169	30	941	17	3	.	106	46	112	48	103	45	2	.	45	56	84	59	0	.	232	60	0	.	0	.	34	64	44	48	0	.	0	.	0	.	92	60	94	37	227	36	32	88	37	62	0	.	92	53	-2	.	0	.	0	.	0	.	121	100	-14	158	72	59	38	100	29	70	0	.	228	31	92	67	2	100	115	50	92	51	86	98	0	.	0	0	135	40	203	40	135	32	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	14	75	0	.	16	82	63	60	81	60	0	.	52	56	68	50	17	88	85	60	65	68	0	.	69	55	28	80	151	54	43	73	7	81	0	.	61	92	0	.	0	.	77	60	9	100	24	57	79	41	31	58	182	44	72	45	127	59	122	38	0	.	6172	6
	21-30 cm	303	27	314	33	320	35	398	36	0	.	0	.	62	63	286	44	1329	17	0	.	93	50	174	43	190	45	0	.	67	58	229	52	0	.	369	39	0	.	0	.	47	75	113	52	0	.	0	.	0	.	309	26	228	59	584	30	63	76	48	59	0	.	111	58	22	.	0	.	0	.	0	.	86	71	65	78	189	70	39	87	125	83	0	.	417	27	128	46	9	235	121	40	211	54	11	100	0	.	0	0	313	33	302	36	333	46	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	129	77	0	.	35	71	103	65	22	186	0	.	153	54	145	60	49	77	80	69	11	70	0	.	188	62	65	66	64	79	141	52	33	80	0	.	25	71	0	.	0	.	83	69	31	100	74	43	139	54	166	71	110	45	313	43	84	50	335	37	0	.	10586	6
	31-40 cm	396	31	502	31	243	45	451	36	0	.	0	.	243	48	495	34	1908	15	33	.	106	58	245	47	391	38	10	.	134	53	258	52	0	.	448	38	0	.	0	.	68	61	55	81	0	.	0	.	0	.	504	34	442	38	409	42	43	73	42	85	0	.	59	67	0	.	0	.	0	.	0	.	105	100	106	71	182	50	14	72	88	89	0	.	675	32	131	45	28	58	163	43	269	43	38	89	0	.	93	71	404	43	320	36	413	35	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	166	81	0	.	72	71	29	74	94	100	0	.	160	55	99	55	77	70	39	71	94	70	0	.	114	55	146	48	187	57	119	45	110	51	0	.	97	73	0	.	0	.	87	71	73	71	186	63	156	42	68	87	234	49	291	37	220	43	302	32	0	.	13732	5
	41-50 cm	718	31	286	35	502	33	591	29	0	.	0	.	443	47	378	32	2076	17	37	.	53	66	329	48	277	37	23	.	225	58	165	61	0	.	380	36	0	.	0	.	94	58	66	63	0	.	0	.	0	.	826	27	496	38	631	31	82	78	29	84	0	.	168	51	29	.	0	.	0	.	0	.	0	.	29	100	50	87	50	76	87	59	0	.	796	26	139	41	135	56	326	38	212	49	44	100	0	.	133	74	342	58	450	33	376	37	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	125	84	0	.	91	73	63	62	75	62	0	.	219	61	180	62	18	100	27	68	71	71	0	.	97	57	197	63	293	48	195	51	104	86	0	.	112	74	0	.	0	.	26	72	83	82	130	78	364	38	30	90	415	46	191	36	309	42	329	38	0	.	15815	5
	51-60 cm	394	31	429	29	270	43	808	27	0	.	0	.	206	55	444	37	2584	15	0	.	247	53	165	52	144	46	82	.	213	62	189	54	0	.	366	43	0	.	0	.	126	63	72	61	0	.	0	.	0	.	799	31	832	39	569	34	86	78	34	100	0	.	186	55	0	.	0	.	0	.	0	.	0	.	97	100	45	100	93	100	94	75	0	.	463	32	296	50	23	71	217	49	68	50	61	100	0	.	88	75	115	53	460	39	506	32	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	50	100	0	.	0	.	52	77	132	77	0	.	117	60	166	68	79	71	64	100	0	.	0	.	28	71	152	71	109	78	214	53	47	71	0	.	118	72	0	.	0	.	42	100	41	72	194	58	350	37	0	.	212	44	424	43	213	38	315	32	0	.	14995	6
	61-70 cm	261	49	282	40	195	53	431	36	0	.	0	.	120	73	233	44	1813	20	0	.	72	100	82	71	92	58	75	.	34	100	86	71	0	.	193	52	0	.	0	.	24	100	0	.	0	.	0	.	0	.	650	33	129	60	374	39	0	.	0	.	0	.	107	100	0	.	0	.	0	.	0	.	0	.	46	100	0	.	0	.	0	.	0	.	470	33	309	56	0	.	102	77	0	.	0	.	0	.	88	73	141	61	407	41	245	47	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	79	100	0	.	0	.	0	.	135	100	0	.	35	100	63	71	68	100	52	100	0	.	0	.	0	.	16	100	124	71	25	100	57	100	0	.	91	74	0	.	0	.	16	100	63	100	195	62	213	47	0	.	258	52	147	63	170	60	257	41	0	.	9125	8
	71-80 cm	136	59	75	71	200	45	557	35	0	.	0	.	0	.	265	46	708	28	0	.	42	100	90	100	84	71	0	.	34	100	59	73	0	.	38	100	0	.	0	.	33	100	0	.	0	.	0	.	0	.	84	71	205	60	151	60	0	.	37	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	45	100	0	.	314	43	258	53	0	.	89	100	0	.	38	100	0	.	0	.	25	100	88	100	165	76	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	38	100	0	.	97	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	59	72	0	.	0	.	0	.	0	.	0	.	0	.	124	59	64	100	0	.	0	.	107	71	129	60	0	.	0	.	4439	11
	81-90 cm	66	100	52	100	215	62	118	71	0	.	0	.	0	.	0	.	153	58	0	.	0	.	0	.	0	.	61	.	0	.	0	.	0	.	70	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	53	100	0	.	0	.	0	.	0	.	0	.	76	100	115	72	0	.	0	.	0	.	0	.	52	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	185	74	296	53	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	37	100	0	.	43	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	48	100	0	.	0	.	0	.	0	.	40	100	0	.	0	.	0	.	0	.	0	.	59	100	0	.	0	.	60	100	37	100	50	100	0	.	1885	19
	91-100 cm	0	.	54	100	0	.	63	100	0	.	0	.	0	.	0	.	98	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	52	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	68	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	109	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	.	45	100	0	.	0	.	0	.	489	33
	>100 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	84	100	66	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	71	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	.	194	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	.	415	56
	total	2542	22	2225	22	2121	26	3541	23	0	.	0	.	1121	44	2354	26	11676	12	73	.	718	39	1197	38	1281	32	252	.	752	50	1071	47	0	.	2168	29	0	.	0	.	428	52	401	55	0	.	0	.	0	.	3265	24	2427	30	2945	24	307	74	227	44	0	.	775	49	49	.	0	.	0	.	0	.	312	70	404	67	653	56	235	72	467	63	0	.	3362	22	1472	35	197	57	1132	32	853	41	278	75	0	.	401	72	1475	35	2610	26	2579	25	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	602	72	0	.	258	73	311	51	577	62	0	.	833	53	722	46	307	60	347	45	241	52	0	.	496	49	652	50	927	43	738	43	417	58	0	.	544	65	0	.	0	.	332	47	300	71	928	44	1424	29	295	68	1411	30	1650	30	1288	30	1710	27	0	.	77654	4
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	.
	12-20 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	20	59	0	.	0	.	0	.	0	.	119	59	8	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	.	13	.	14	.	120	48	48	56	237	35	136	52	493	25	151	38	92	48	311	31	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3	100	0	.	0	.	25	.	0	.	0	.	0	.	112	48	71	43	36	51	0	.	0	.	0	.	0	.	0	.	7	78	0	.	0	.	0	.	2014	11
	21-30 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	95	75	0	.	0	.	0	.	0	.	236	46	45	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	.	35	.	26	.	228	50	105	63	181	49	252	38	958	24	168	39	224	51	496	31	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	48	78	0	.	0	.	35	.	0	.	0	.	0	.	149	39	108	57	32	61	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	3422	10
	31-40 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	132	65	0	.	0	.	0	.	0	.	226	54	18	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	.	7	.	-1	.	132	48	73	63	155	41	307	37	657	24	98	46	182	47	365	36	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	62	71	0	.	0	.	12	.	0	.	0	.	0	.	129	46	91	55	22	100	0	.	0	.	0	.	0	.	0	.	21	100	0	.	0	.	0	.	2688	10
	41-50 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	95	64	0	.	0	.	0	.	0	.	180	48	27	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	.	30	.	13	.	125	64	117	58	47	53	201	33	596	31	102	38	94	50	270	38	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	53	71	0	.	0	.	0	.	0	.	0	.	0	.	100	49	35	84	35	80	0	.	0	.	0	.	0	.	0	.	17	100	0	.	0	.	0	.	2137	12
	51-60 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	52	100	0	.	0	.	0	.	0	.	61	71	40	79	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	6	.	40	73	0	.	35	73	136	44	318	47	60	62	87	61	175	43	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	136	80	20	100	0	.	0	.	0	.	0	.	0	.	0	.	38	71	0	.	0	.	0	.	1204	19
	61-70 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	37	100	0	.	0	.	0	.	0	.	54	57	46	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	.	31	.	12	100	20	100	51	71	69	63	136	58	36	100	20	100	50	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	.	561	23
	71-80 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	45	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	.	21	100	56	71	52	72	51	71	36	100	39	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	.	301	31
	81-90 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	45	100	28	100	0	.	0	.	27	100	27	100	0	.	27	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	.	153	46
	91-100 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	54	100	0	.	0	.	0	.	56	100	0	.	0	.	35	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	29	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	174	52
	>100 cm	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	198	100	0	.	175	59	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	374	60
	total	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	475	55	0	.	0	.	0	.	0	.	876	39	185	72	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	86	.	90	.	757	42	391	57	726	33	1156	32	3293	19	892	36	735	37	1944	26	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	165	71	0	.	0	.	71	.	0	.	0	.	0	.	626	40	324	52	154	44	0	.	0	.	0	.	0	.	0	.	83	77	0	.	0	.	0	.	13029	8
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	.
	12-20 cm	286	28	232	29	175	45	153	31	66	53	157	44	1132	15	924	15	1404	16	697	18	150	44	147	39	196	33	2	.	58	46	233	28	287	34	357	43	20	59	231	26	398	20	262	22	467	22	1165	16	819	18	625	17	347	30	405	29	527	20	98	44	184	27	117	43	115	40	206	30	223	38	232	33	348	41	132	52	169	35	394	30	148	39	204	26	297	27	250	35	153	41	198	37	156	34	276	38	119	40	127	50	179	37	203	40	179	29	205	35	348	28	178	29	413	26	267	33	585	22	498	24	339	29	450	24	171	43	106	45	148	34	214	29	188	35	187	49	59	58	68	50	248	29	94	56	113	47	173	28	137	36	194	45	219	39	97	45	46	54	21	61	124	60	1018	19	732	17	737	17	59	43	87	35	107	37	217	30	309	33	78	42	127	59	126	37	0	.	26115	3
	21-30 cm	385	25	314	33	320	35	493	31	257	40	631	32	2124	12	1814	15	2087	15	1605	16	119	43	218	36	397	29	0	.	140	38	717	28	820	28	559	31	95	75	475	32	849	20	877	26	812	22	1964	15	1641	14	1201	16	539	31	936	23	855	21	155	52	401	29	246	39	203	38	513	35	584	36	421	39	666	25	493	28	455	37	711	31	509	43	578	25	621	24	340	29	220	37	230	34	500	31	346	38	477	34	176	47	512	25	302	36	460	37	131	41	792	26	359	30	454	33	575	28	1101	22	936	25	745	26	777	25	559	31	158	47	457	31	289	33	169	39	558	37	327	44	145	60	349	32	94	60	103	64	449	23	427	34	334	36	185	39	279	38	115	69	47	89	62	75	1464	15	1575	19	1546	17	247	37	168	32	176	45	522	35	402	37	313	43	96	45	355	36	0	.	51203	2
	31-40 cm	444	29	521	30	243	45	495	33	817	31	952	26	3598	11	2375	14	2594	13	2255	16	106	58	369	36	638	29	10	.	401	44	742	28	998	22	1106	26	132	65	579	26	1501	18	1109	22	1018	24	2817	14	2666	14	2210	16	889	24	977	27	1322	19	222	60	585	33	143	46	284	48	402	28	853	34	466	32	1070	26	571	32	785	32	858	26	743	31	1015	24	1073	24	655	36	585	34	243	33	579	31	447	27	757	31	486	29	818	32	320	36	452	32	195	47	1005	45	474	34	379	28	656	25	928	21	698	25	500	27	651	26	657	34	345	50	448	34	510	29	326	39	548	36	496	38	99	55	871	24	162	78	160	50	606	25	395	28	500	34	307	41	241	36	206	42	184	64	124	61	1959	18	1618	18	1957	15	334	34	372	39	259	34	725	28	594	27	312	35	220	43	314	31	0	.	69632	2
	41-50 cm	894	27	286	35	502	33	752	26	866	30	990	26	4733	12	3095	14	3074	15	2442	15	101	59	392	42	520	31	23	.	515	38	924	26	1046	24	1113	26	95	64	1204	23	2274	18	978	19	1311	22	3073	13	3543	13	3025	15	888	26	1308	21	1357	20	216	47	632	31	379	34	320	37	856	26	660	33	345	31	1143	25	898	32	727	33	869	23	661	36	1155	27	1183	22	502	30	529	29	484	33	686	28	701	32	604	30	887	29	698	34	450	33	472	31	190	44	1068	33	653	28	164	36	340	24	713	28	646	22	444	29	641	26	442	36	450	59	624	35	599	39	768	36	531	33	432	39	196	58	795	26	75	68	236	44	663	24	386	28	726	28	563	31	394	40	191	54	129	64	156	60	2047	18	1732	17	2158	16	394	39	447	36	511	34	700	27	1136	26	209	34	309	42	346	36	0	.	80585	2
	51-60 cm	592	34	429	29	270	43	1120	24	820	34	1342	30	4301	13	3816	14	3551	13	1673	18	295	47	205	46	448	37	82	.	443	43	857	27	1111	23	1062	28	52	100	1187	23	1836	18	1105	23	1741	22	2581	15	2651	13	2375	17	1345	27	1354	24	1852	21	238	40	621	34	343	38	187	43	941	26	304	42	314	42	873	29	953	32	399	34	980	26	936	29	1167	23	663	26	667	34	106	43	566	41	544	30	760	27	860	32	803	28	453	40	460	39	579	30	287	39	988	41	515	36	174	39	258	33	337	45	435	30	353	33	526	31	406	39	222	44	351	40	490	40	444	34	490	34	429	35	166	68	606	25	171	73	58	73	401	28	421	38	485	34	513	35	243	48	345	48	162	59	196	53	1847	17	1498	20	2116	19	276	38	479	39	595	36	534	35	787	29	462	40	213	38	385	32	0	.	74883	2
	61-70 cm	334	44	282	40	195	53	488	34	509	37	468	42	2750	16	2262	18	2372	16	708	26	72	100	117	58	192	48	75	.	103	58	415	36	382	35	475	29	37	100	665	30	1028	22	784	24	998	27	1663	19	1549	22	1576	20	577	42	1246	28	663	31	31	100	297	49	221	61	191	56	592	37	444	42	17	100	500	39	342	44	300	76	441	40	544	42	1552	25	593	29	430	45	28	100	102	77	183	52	507	37	272	57	416	44	373	40	407	41	328	39	199	39	365	34	277	39	181	45	182	51	197	51	346	33	66	58	269	46	261	44	232	43	162	52	351	50	533	43	542	45	201	45	63	71	664	45	73	77	102	58	213	41	339	45	190	49	403	40	116	62	187	47	0	.	210	52	1091	25	761	25	1227	23	145	71	354	44	213	47	687	37	457	36	147	63	170	60	286	38	0	.	44559	3
	71-80 cm	165	52	75	71	200	45	668	31	138	58	211	46	1493	20	1430	22	1014	24	328	35	42	100	141	73	194	64	0	.	34	100	267	46	392	44	209	53	45	100	591	40	701	28	357	43	714	30	793	24	599	26	595	37	390	46	430	35	414	39	209	45	181	50	0	.	140	74	308	38	97	61	131	50	489	49	434	45	157	65	375	44	525	45	526	38	314	43	348	47	35	100	89	100	0	.	403	37	131	58	281	77	71	74	88	100	206	64	256	65	294	62	106	78	46	71	101	59	82	59	183	41	122	50	210	46	70	72	143	80	189	79	198	46	358	37	118	59	173	51	0	.	87	73	0	.	38	100	89	71	181	62	46	100	28	100	0	.	148	67	0	.	110	74	905	32	290	42	740	29	89	71	175	51	64	100	537	37	133	100	107	71	129	60	42	100	0	.	24755	5
	81-90 cm	66	100	52	100	215	62	118	71	49	100	0	.	281	47	588	34	607	35	122	100	0	.	0	.	0	.	61	.	0	.	175	71	199	59	135	71	0	.	184	51	433	46	167	50	164	52	565	41	374	44	104	71	0	.	238	50	0	.	159	73	115	72	53	100	122	71	0	.	0	.	105	100	40	100	264	59	115	72	133	62	135	58	315	47	0	.	52	100	62	100	0	.	0	.	112	72	84	100	39	100	0	.	185	74	296	53	0	.	180	60	28	100	28	100	73	71	27	100	151	51	0	.	76	73	60	73	0	.	96	71	92	75	0	0	0	.	121	73	0	.	0	.	0	.	0	.	0	.	0	.	48	100	49	100	0	.	0	.	0	.	117	74	589	34	65	71	69	71	0	.	135	71	135	71	97	71	0	.	60	100	37	100	50	100	0	.	9667	8
	91-100 cm	0	.	54	100	0	.	117	71	0	.	0	.	185	58	176	58	98	71	127	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	257	47	96	72	109	71	114	71	247	50	48	100	68	100	0	.	0	.	0	.	65	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	114	100	0	.	55	100	58	100	0	.	0	.	68	100	0	.	0	.	0	.	68	100	0	.	55	100	52	100	0	.	109	71	0	.	143	73	0	.	0	.	0	0	56	100	77	100	0	.	35	100	0	.	0	.	0	.	0	.	48	100	57	100	0	.	0	.	0	.	0	.	0	.	81	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	225	45	136	58	51	72	0	.	60	100	0	.	0	.	0	.	45	100	0	.	0	.	0	.	3352	13
	>100 cm	0	.	0	.	0	.	0	.	0	.	0	.	36	100	217	73	138	71	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	71	100	0	.	51	100	0	.	0	.	155	71	178	60	52	100	185	71	58	100	0	.	0	.	0	.	70	100	0	.	0	.	0	0	0	.	0	.	0	.	0	.	0	.	38	100	0	.	61	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	68	100	0	.	194	100	0	.	129	100	111	100	0	.	0	.	0	.	0	.	198	100	0	.	175	59	0	.	0	.	0	.	0	.	49	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	39	100	0	.	64	100	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	0	.	2338	20
	total	3166	20	2245	22	2121	26	4404	20	3520	29	4750	24	20632	9	16697	10	16939	10	9958	12	884	34	1589	32	2585	26	252	.	1694	35	4330	23	5236	18	5089	21	475	55	5426	19	9118	14	5748	17	7494	16	15046	10	13943	10	11963	12	5033	19	6895	17	6990	17	1393	33	3088	24	1501	32	1562	34	3819	23	3164	27	2030	30	5129	22	4202	25	3108	28	4855	20	4259	25	6573	19	4744	18	3312	23	1717	28	1913	27	2648	24	3620	24	3304	24	3337	25	3157	24	2610	26	3080	22	1593	31	5295	29	2591	24	1840	22	2452	22	4026	17	4168	18	2569	22	3810	20	2627	28	1655	40	2476	28	2743	27	2883	27	3031	29	2238	34	738	45	3620	21	669	53	809	34	2675	22	2286	27	2523	25	2267	26	1370	33	1238	33	544	60	1098	46	11185	13	8408	14	10664	13	1544	33	2276	28	2060	28	4019	22	3819	21	1733	29	1299	30	1903	26	0	.	387089	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. 2280986. Birmensdorf, Swiss Federal Research Institute WSL

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