Publikasjoner
NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.
2012
Sammendrag
I 2011 inngikk seks flater i den intensive skogovervåkingen der utviklingen av skogøkosystemet i Norge blir fulgt. Disse flatene inngår i det nasjonale ”Overvåkingsprogram for skogskader”, og de er også en del av det europeiske nettverket av intensive skogovervåkingsflater, der 39 europeiske land deltar med mer enn 800 flater (ICP Forests). Intensiv skogovervåking er utført her i landet siden midten av 1980-tallet, med tidsserier som beskriver endringer i skogøkosystemet. Hovedformålet er å beskrive skogens helsetilstand og belyse virkninger av langtransporterte forurensninger på skogøkosystemet. Observasjonene fra 2011 og utviklingen siden 1986 presenteres i denne rapporten....
Forfattere
Marte Meland Celine Rebours Hugo Barros Alexandra Marques Tim Atack Katia Frangoudes Igotz Gallastegi Marie Lesueur Sebastien Pien Maìrtin Walsh Julie MaguireSammendrag
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Sammendrag
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Sammendrag
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Sammendrag
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Forfattere
May SæthreSammendrag
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Forfattere
Juha Heikkinen Erkki Tomppo Alexandra Freudenschuss Peter Weiss Gro Hylen Gal Kusar Ronald McRoberts Gerald Kändler Emil Cienciala Hans Petersson Göran StahlSammendrag
National forest inventories (NFIs) are an important source of data for reporting greenhouse gas emissions and removals for the Land Use, Land-Use Change, and Forestry sector as required by the United Nations Framework Convention on Climate Change and its Kyoto Protocol. A major limitation is that NFI resources are generally not sufficient for producing reliable information on year-to-year variation. Interpolation, extrapolation, smoothing, and/or aggregation of data from several years are therefore needed to comply with the reporting requirements for a specific year. Various methods for accomplishing this task are illustrated and evaluated based on data and experiences from the NFIs of six countries, concentrating on the estimation of the stem volume of living trees as a surrogate for tree biomass. Six main conclusions were drawn: (1) NFI data from the target years only were not sufficient for reliable estimation of annual stock change; (2) changes between whole inventory cycles (typically 5 years) could be estimated with reasonable precision; (3) simple moving average estimators of stock are problematic in the estimation of changes; (4) interpenetrating panel designs with permanent sample plots are desirable from the point of view of inter/extrapolating and change estimation; (5) data on annual growth variation and harvests are important and can be used directly in the default method, which is based on differences between increment and drain; and (6) time gaps between NFI surveys may lead to significant errors in the estimation of stock changes.
Forfattere
Arne StensvandSammendrag
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Forfattere
Aruppillai Suthaparan Sissel Torre Leiv M. Mortensen Hans Ragnar Gislerød Knut Asbjørn Solhaug Arne Stensvand David M. GadourySammendrag
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Forfattere
Peder GjerdrumSammendrag
Sawmillers want to have predictable and homogeneous timber outcome from their industry. This paper analyses and discusses how well timber quality of boards from the same log, and in particular pairs of sister boards, correspond to each other, i.e. the limit for quality homogeneity.Observations from three different sawn timber outcome experiments were analysed. Varying quality traits were observed: appearance and machine strength grading, knot size and number, and board value.The results showed that 80% and 53% respectively, for two different samples, of the boards had different quality grade from their sister boards, and less homogeneity when more boards are sawn from the same log. The correlation between observations made in sister boards were modestly 0.42 for biggest green knot diameter, and almost absent for dry knots and other traits. Board value and machine strength are better correlated, 0.76 and 0.69, respectively.Relative pairwise difference for these parameters was found to follow the exponential distribution with mean 0.169 and 0.068, respectively. The results clearly indicate that there is no easy way achieving a consistent and pre-requested quality, at the same time avoiding an inherent portion of diverted quality boards.