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A Guide to the Russian Academy of Sciences - University of Texas ...

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elaboration <strong>of</strong> scientific foundation for <strong>the</strong> North ecosystems'<br />

sustainability under extreme nature conditions and anthropogenic effect<br />

from <strong>the</strong> mining-metallurgical industrials and determination <strong>of</strong><br />

allowable loads on terrestrial and water ecosystems.<br />

creating hydrobiological and water-<strong>to</strong>xic methodics for assessment <strong>the</strong><br />

consequences <strong>of</strong> North fresh water ecosystems under effect from<br />

mining-metallurgical complex plus finding out <strong>the</strong> criteria <strong>of</strong> <strong>the</strong>ir<br />

sustainability;<br />

define space-time change <strong>of</strong> various elements <strong>of</strong> nature structures<br />

(landscape, climate), subjected <strong>to</strong> one invariant-- aerotechnogenic load<br />

from mining-metallurgical complex;<br />

assessment and long-term forecast <strong>of</strong> probable changes in ecological and<br />

nature-economy systems under different scenario <strong>of</strong> nature resources<br />

use;<br />

elaboration <strong>of</strong> scientific-methodological foundation and principles <strong>of</strong><br />

ecological expertise for natural mineral raw material protection and<br />

technologies when making a project and <strong>the</strong>n developing nature resources<br />

and <strong>the</strong>ir complex treatment.<br />

<strong>to</strong> originate high technologies for <strong>the</strong> waste purification, including<br />

air emissions and wastes from treating fac<strong>to</strong>ries, pits quarries and<br />

smelters.<br />

provide with information on <strong>the</strong> environment state and forecast <strong>of</strong> its<br />

elements by ma<strong>the</strong>matical modelling;<br />

creating ecological informational systems , including computerised nets<br />

for controlling, data base, geographical information systems and<br />

ma<strong>the</strong>matical models for <strong>the</strong> forecast a and management <strong>of</strong> <strong>the</strong><br />

Environment state.<br />

The Institute staff is 88, including 36 research workers <strong>of</strong> whom 5 are pr<strong>of</strong>essors<br />

and 16 hold doc<strong>to</strong>rs <strong>of</strong> sciences degrees.<br />

The results <strong>of</strong> some investigations in 1995:<br />

Ecological problems <strong>of</strong> biological systems<br />

On <strong>the</strong> foundation <strong>of</strong> original approaches <strong>to</strong> use a net <strong>of</strong> certain sites one managed <strong>to</strong> give a<br />

detail multidisciplined analysis <strong>of</strong> biogeochemical cycles for mineral elements<br />

Ca,Mg, K, Mn, Al, Fe, Zn, Ni, Cu, S, P, N,) in North forests under conditions <strong>of</strong><br />

air emission pollution. After having determined <strong>the</strong> dependence <strong>of</strong> organic matter<br />

dynamics and biogeochemical cycles <strong>of</strong> mineral elements from <strong>the</strong> state type <strong>of</strong> <strong>the</strong><br />

forest biosenosis, classified as a stage <strong>of</strong> its technogenic transformation we<br />

managed <strong>to</strong> define basic types <strong>of</strong> technogenic transformation in <strong>the</strong> North forest<br />

biogeosenosis; background, defoliated, technogenic thin forest and technogenic<br />

barren.<br />

853

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