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E. Volkova 2010. The regional analysis of forest management risks
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where B - average productivity class; P - average volume density, scores; Z - current growth
rate, scores; S - percentage of each species in the forested area. The first component
characterizes the ecological potential of coniferous species, the second one – that of softwood
species. The ratio of deciduous to coniferous woods is one to three, showing a characteristic
share of each species in the Tomsk region. The territorial distribution of the estimated
ecological potential for the Tomsk region is shown in the figure below.
The forest resource potential is understood as a set of useful properties of forest communities
allowing them to provide natural raw materials, food and feed resources, to perform industrial
and energy supply functions for the economy. When assessing the forest resource potential, the
following indices were considered: average productivity class, average growing stock, average
age and species composition of the forest stand.
By analogy with the assessment of ecological potential, the forest resource potential (RP) was
calculated based on the growth rate tables and using the following formula:
n
∑
RP = 2/3 S
i
( Bi
+ M
i
+ Ai
) +1/3 ∑ S
j
( B
j
+ M
j
+ A
j
)
i=
1
k
j=
1
where B - average productivity class, scores; M - indicator of growing stock, scores; A - average
age, scores; S - percentage of each tree species in the forested area. The first component
characterizes the forest resource potential of coniferous species, and the second one – that of
softwood species.
3. Result
Ecological potential and resource potential of forests were assessed for all major tree species
present in the Tomsk region. The table 1 shows the assessment of ecological potential and forest
resource potential for different forestry sites, based on the example of a pine tree, as one of the
most common tree species in the Tomsk region. Based on the tables of growth rates and other
quantitative characteristics, all average stratum parameters used in the analysis were assigned a
score of 1 to 5 (see Table 2).
Integrated risk analysis in forest management largely depends on the resource and ecological
potential of forests and the impact of climatic factors most dangerous to forests – forest fires,
winds and thunderstorms, injurious insects, forest diseases.
The risks of forest fires, winds and thunderstorms, pests and forest diseases were assessed as a
functional dependence between the level of each type of risks and the level of resource and
ecological potentials of the forests.
Based on the conducted research and approbation of the described approach, there was
performed territorial differentiation and quantification of the Tomsk region by the risk degree in
forest management (see Fig. 1).
4. Discussion
The research has shown that both the nature and the degree of risks in forest management are
determined by climatic and forest growing conditions in the Tomsk region. Negative
environmental factors have a large impact, directly affecting the development of forest industry
in the region. However, geographical distribution of forest exploitation activities within the
Tomsk region itself does not largely depend on the climatic conditions, being mainly
determined by the resource potential of forests and transport accessibility of the area. Thus, the
main logging activities in the territory of Tomsk region are conducted in the areas with the
highest degree of risks and adverse factors in forest exploitation, being drawn by a high timber
resource potential in these areas.
(2),
Forest Landscapes and Global Change-New Frontiers in Management, Conservation and Restoration. Proceedings of the IUFRO Landscape Ecology
Working Group International Conference, September 21-27, 2010, Bragança, Portugal. J.C. Azevedo, M. Feliciano, J. Castro & M.A. Pinto (eds.)
2010, Instituto Politécnico de Bragança, Bragança, Portugal.