Ecoinformatics and Soil-Plant Formations - New Ecoinformatics Tools in Environmental Science: Applications and Decision-making - page 680

Fig. 8.15 An example of spatial distribution reconstruction for the wild re dangerous probability
basing on the soil and forest litter moisture in their dynamics in village Nikolovo (Bulgaria). Time
dynamic of the wild re dangerous is characterized by the conditions: a heavy precipitation, b one
day later, c two days later, and d four days later

8.4.2 Wild res, Dynamics of the Biosphere, and Climate

Poorly studied positive and negative feedbacks of forest fires makes it impossible to

draw the final conclusions about their role in the global eco-dynamics. Positive

feedbacks mentioned above can be supplemented with facts indicating the opposite
post-

'

dynamics. Numerous results of numerical
modeling show that the tropical deforestation results in changes of albedo, land
surface roughness, leaf area index, and root zone depth, which lead to a decrease of
rain rate and relative humidity, but to an increase of SAT and wind speed. Global
consequences of such changes will depend on the ratio of scales of reduction of
forest areas and measures taken to protect nature. Preliminary results of modeling
these consequences obtained by Hoffmann et al. (2003), with the use of the
atmospheric general circulation model, CCM 3.2, and data of remote sensing,
revealed a decrease of rains and relative humidity during the

re trends in the ecosystems

fires in the Amazon

basin. The empirical connection between the scales of deserti cation in the regions

of Amazon, Congo, and Indonesia and the frequency of forest fires, established

from the NOAA-12 satellite measurements, revealed a dependence of the index of
the fires directly

affect a climate change, which leads to a change of their frequency of occurrence.
This interactivity makes it possible to search a regime of forests regulation which

fire risk of the territory on their frequency. This means that forest