Net primary production of Ural forests: Methods and results of automated estimating

Net primary production of Ural forests: Methods and results of automated estimating Methodical approaches to forest biomass and net primary production estimating are studied and their regression models are designed. By means of combining these models and State Forest Account database of 305 forest enterprises of the Ural region the total forest biomass (9.11 billion tons) and net primary production (542 million tons) are calculated. The models and calculating algorithms are involved into the information system on the base of the Software AG platform Natural, which allows to estimate and to re-calculate forest biomass and net primary production on some territory in automatic mode. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Russian Journal of Ecology Springer Journals

Net primary production of Ural forests: Methods and results of automated estimating

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Publisher
SP MAIK Nauka/Interperiodica
Copyright
Copyright © 2011 by Pleiades Publishing, Ltd.
Subject
Life Sciences; Environment, general; Ecology
ISSN
1067-4136
eISSN
1608-3334
D.O.I.
10.1134/S1067413611050122
Publisher site
See Article on Publisher Site

Abstract

Methodical approaches to forest biomass and net primary production estimating are studied and their regression models are designed. By means of combining these models and State Forest Account database of 305 forest enterprises of the Ural region the total forest biomass (9.11 billion tons) and net primary production (542 million tons) are calculated. The models and calculating algorithms are involved into the information system on the base of the Software AG platform Natural, which allows to estimate and to re-calculate forest biomass and net primary production on some territory in automatic mode.

Journal

Russian Journal of EcologySpringer Journals

Published: Sep 10, 2011

References

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