Geoscience Reference
In-Depth Information
Fig. 6.20 Typical yearly distribution of the biocomplexity for the arctic tundra
The Meteorological Research Institute (Hokkaido) has produced a database of long-
term meteorological data, the use of which gives a possibility to exclude the
application of inaccurate climatic models for the creation of Okhotsk Sea ecosystem
model.
An interest to the Okhotsk Sea ecosystem is caused by the need to assess the
consequences of global changes for the ecosystems of northern latitudes and by the
requirement of elaboration of effective informational technologies, that guarantee
reliable monitoring of these vulnerable natural systems. Such informational tech-
nologies have been created in the Kotelnikov
s Institute of Radioengineering and
Electronics of Russian Academy of Science (Krapivin and Varotsos 2008; Krapivin
and Shutko 2012) with reference to the synthesis of monitoring systems, aiming to
detect earlier tropical hurricanes, warming on the under
'
fl
ooding and
fl
floods, as well
as forecasting of
fire dangerous in the forests.
This section describes ideas and some results of the application of a new
information technology for the diagnostics of complex and many-sided dynamics of
the Okhotsk Sea ecosystem. This technology is based on the generalization of
experience that was now accumulated under the study of the Okhotsk Sea eco-
system and on the transfer of existing data to narrow range of spatial-temporal
scales. This range is de
ned by the need to receive the assessments for the changes
of energy balance in the Okhotsk Sea ecosystem. First attempt to solve this task was
undertaken in Rostov-Don State University by means of creation of integral model
of the Okhotsk Sea ecosystem (Berdnikov et al. 1989). Next versions of this model
were proposed by Krapivin and Varotsos (2008). Integral indicator of the sea
ecosystem state based on the calculation of biocomplexity indices was introduced
by Krapivin and Mkrtchyan (2009a). These indices summarize such ecosystem
characteristics as bioavailability, biodiversity, and survivability. An introduction of
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