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Please use this identifier to cite or link to this item: https://elar.usfeu.ru/handle/123456789/8837
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dc.contributor.authorUsoltsev, V. A.en
dc.contributor.authorVoronov, M. P.en
dc.contributor.authorChasovskikh, V. P.en
dc.date.accessioned2019-09-20T15:19:04Z-
dc.date.available2019-09-20T15:19:04Z-
dc.date.issued2011-
dc.identifier.citationUsoltsev, V. A. Net primary production of Ural forests: Methods and results of automated estimating / V. A. Usoltsev, M. P. Voronov, V. P. Chasovskikh // Russian Journal of Ecology. – 2011. – Vol. 42. – Iss. 5. – P. 362-370.en
dc.identifier.issn1067-4136-
dc.identifier.urihttps://elar.usfeu.ru/handle/123456789/8837-
dc.description.abstractMethodical 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. © 2011 Pleiades Publishing, Ltd.en
dc.description.sponsorshipThis study was supported by the Russian Foundation for basic Research, projects nos. 01 04 96424, 04 05 96083 and 07 07 96010.en
dc.language.isoenen
dc.publisherPleiades Publishingen
dc.rightsinfo:eu-repo/semantics/restrictedAccessen
dc.sourceRussian Journal of Ecologyen
dc.subjectDATABASE MANAGED SYSTEMen
dc.subjectDATABASESen
dc.subjectFOREST BIOMASSen
dc.subjectFOREST MAPPINGen
dc.subjectFOREST STANDen
dc.subjectMETHODICAL ANALYSISen
dc.subjectNET PRIMARY PRODUCTIONen
dc.subjectREGRESSION ANALYSISen
dc.subjectALGORITHMen
dc.subjectAUTOMATIONen
dc.subjectBIOMASSen
dc.subjectDATABASEen
dc.subjectFOREST ECOSYSTEMen
dc.subjectINFORMATION MANAGEMENTen
dc.subjectINFORMATION SYSTEMen
dc.subjectNET PRIMARY PRODUCTIONen
dc.subjectREGRESSION ANALYSISen
dc.subjectSOFTWAREen
dc.subjectURALSen
dc.titleNet primary production of Ural forests: Methods and results of automated estimatingen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
local.description.firstpage362-
local.description.lastpage370-
local.issue5-
local.volume42-
local.identifier.wosWOS:000300089100002-
local.identifier.doi10.1134/S1067413611050122-
local.affiliationBotanical Garden, Ural Division, Russian Academy of Sciences, Ul. Vos'mogo Marta 202a, Yekaterinburg 620144, Russian Federationen
local.affiliationUral State Forest Engineering University, Sibirskii Trakt 37, Yekaterinburg 620100, Russian Federationen
local.contributor.employeeUsol'tsev, V.A., Botanical Garden, Ural Division, Russian Academy of Sciences, Ul. Vos'mogo Marta 202a, Yekaterinburg 620144, Russian Federation
local.contributor.employeeVoronov, M.P., Ural State Forest Engineering University, Sibirskii Trakt 37, Yekaterinburg 620100, Russian Federation
local.contributor.employeeChasovskikh, V.P., Ural State Forest Engineering University, Sibirskii Trakt 37, Yekaterinburg 620100, Russian Federation
local.identifier.rsi18004107-
local.identifier.eid2-s2.0-80052545992-
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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