Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/78366
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dc.contributor.authorAugustaitis, Algirdas-
dc.coverage.spatialNL-
dc.date.accessioned2019-05-15T01:51:05Z-
dc.date.available2019-05-15T01:51:05Z-
dc.date.issued1999-
dc.identifier.issn00496979-
dc.identifier.otherVDU02-000040168-
dc.identifier.urihttps://hdl.handle.net/20.500.12259/78366-
dc.description.abstractIn order to address the problem of pollutant effects on trees against the background of environmental fluctuations a simulation model using radial increment as an indicator of tree productivity is proposed. Ring times series of large trees provide one of the most acceptable biological indicators for the assessment of pollutant impact. This research focused on the tallest severely damaged and healthy trees growing close to each other in the surroundings of Jonava Mineral Fertilizer plant, which primarily emits nitrogen (N) and sulphur (S) compounds. The annual increment was found to be strongly correlated with mean September air temperature of the previous year and S load. The correlation coefficient (k=0.961) between modelled and observed tree ring times series of severely damaged trees proves the impact of S load on growth and vitality of a tree and enables fulfillment of tree condition prognosisen
dc.description.sponsorshipVytauto Didžiojo universitetas-
dc.description.sponsorshipŽemės ūkio akademija-
dc.format.extentp. 437-442-
dc.language.isoen-
dc.relation.ispartofWater Air and Soil Pollution. , Vol. 116, N 1-2 (1999)-
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)-
dc.relation.isreferencedbyConference Proceedings Citation Index (Web of Science)-
dc.relation.isreferencedbySpringerLINK-
dc.subjectSimulative modelen
dc.subjectPollution impacten
dc.subjectTree healthen
dc.subjectRing time seriesen
dc.subjectPrognosisen
dc.subject.otherMiškotyra / Forestry (A004)-
dc.titleA new imitative model to predict the impact of air pollutants on Scots pine health and radial incrementen
dc.typeStraipsnis Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or / and Scopus (S1)-
dc.identifier.doihttps://doi.org/10.1023/A:1005231831245-
dc.identifier.isiWOS:000083182900042-
dcterms.bibliographicCitation6-
dc.date.updated2020-03-09T16:12Z-
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local.typeS-
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptŽemės ūkio akademija-
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications
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