Ecoinformatics and Soil-Plant Formations - New Ecoinformatics Tools in Environmental Science: Applications and Decision-making - page 668

Limiting indicator f D is de ned by the soil structure and relative water content in

the soil ( ʸ w ,0< ʸ w < 1):

!

1 þ a s
1 þ a s h

f D ¼ ;

b w

where empirical coef cients a s and b s determine the soil structure.

The net primary production (NPP) of the forest in the pixel

ʩ is assessed

according to the following formula:

NPP ¼ X
j 2X

X

5
i¼1 D Y ij ;

where index j corresponds to individual tree in the pixel, index I characterizes
separate elements of the tree: leafs (i=1), thick branches (i=2), thin branches
(i=3), twigs (i=4), and thick roots (i=5).
Intensive anthropogenic exploitation of the forests changes their age structure.
This effect has to take into consideration under the forest carbon balance modeling.
As a whole, net productivity F ʩ of the forest ecosystem can be calculated in the
pixel

ʩ

during time interval T:

F X ð T Þ ¼ X

N

F X ð s Þrð s Þ;

s¼1

where (s) is the area occupied by trees of age s, F ʩ (s) is the net productivity of

trees of age s.
Elimination of the wood from the forest biogeocenosis is not connected with
natural causes of the carbon losses and is a commercial part of the forest exploi-
tation. Total losses of the carbon are calculated as follows:

˃

X

N

C H ¼ b C sT r H ð s Þ;

s¼1

where < 1), C sT is the average carbon

content in the steam of age s during time interval T, and

ʲ is ef cient index of the wooding (0 < ʲ

˃ H (s) is the area of

withdrawn forest of age s.
Involvement or not-involvement of the carbon withdrawn from pixel within its

natural cycle depends on the strategy of the wood usage. As a result, the following
parameterization of non-respiratory carbon losses is possible:

ʩ

R n ¼ C H c L þ kc S c L

ð Þ

;

c S c L