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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

God oversikt over skogressursene gir bedre utnyttelse og større verdiskaping. En ny metode gjør det nå mulig å beskrive også mindre skogområder ved hjelp av data fra tredimensjonale flyfoto.

Sammendrag

The present paper comments on thirty-three of the forty-seven species belonging to six Agromyzidae genera and presently known to occur in Norway. Thirteen species are reported new to the Norwegian fauna belonging to the family Agromyzidae. The species are: Amauromyza (Cephalomyza) chenopodivora Spencer, 1971, Amauromyza (Cephalomyza) monfalconensis (Strobl, 1909), Cerodontha (Butomomyza) rohdendorfi Nowakowski, 1967, Cerodontha (Butomomyza) scutellaris (Roser, 1840), Cerodontha (Cerodontha) fulvipes (Meigen, 1830), Cerodontha (Cerodontha) stackelbergi Nowakowski, 1972, Cerodontha (Dizygomyza) caricicola (Hering, 1926), Cerodontha (Icteromyza) capitata (Zetterstedt, 1848), Cerodontha (Poemyza) pygmina (Hendel, 1931), Metopomyza flavonotata (Haliday, 1833), Metopomyza scutellata (Fallen, 1823), Metopomyza xanthaspioides (Frey, 1946) and Aulenagromyza buhri (de Meijere, 1938). In addition new regional data is given for twenty species previously reported from Norway. The biology of the larva, when known, and the distribution in Norway and Europe are commented on for each of the species.

Sammendrag

The present paper comments on thirty-three of the forty-seven species belonging to six Agromyzidae genera and presently known to occur in Norway. Thirteen species are reported new to the Norwegian fauna belonging to the family Agromyzidae. The species are: Amauromyza (Cephalomyza) chenopodivora Spencer, 1971, Amauromyza (Cephalomyza) monfalconensis (Strobl, 1909), Cerodontha (Butomomyza) rohdendorfi Nowakowski, 1967, Cerodontha (Butomomyza) scutellaris (Roser, 1840), Cerodontha (Cerodontha) fulvipes (Meigen, 1830), Cerodontha (Cerodontha) stackelbergi Nowakowski, 1972, Cerodontha (Dizygomyza) caricicola (Hering, 1926), Cerodontha (Icteromyza) capitata (Zetterstedt, 1848), Cerodontha (Poemyza) pygmina (Hendel, 1931), Metopomyza flavonotata (Haliday, 1833), Metopomyza scutellata (Fallen, 1823), Metopomyza xanthaspioides (Frey, 1946) and Aulenagromyza buhri (de Meijere, 1938). In addition new regional data is given for twenty species previously reported from Norway. The biology of the larva, when known, and the distribution in Norway and Europe are commented on for each of the species.

Til dokument

Sammendrag

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.