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.
2010
Sammendrag
Trebaserte produkter bidrar til å redusere klimautslipp, både ved å lagre karbon, ved å erstatte produkter som krever mye fossil energi ved produksjon og ved at det benyttes som fornybar energi. Forskningen ved Seksjon treteknologi omfatter en rekke disipliner som mykologi, treteknologi, kjemi og molekylærbiologi. Den nyeste forskningen på seksjonen bruker pulserende likestrøms elektro-osmoseteknologi (PLEOT) til å beskytte treprodukter mot soppangrep.
Forfattere
Toril Drabløs Eldhuset Isabella Børja Nicholas Clarke Kjersti Holt Hanssen O. Janne Kjønaas Holger Lange Ingvald Røsberg Tonje ØklandSammendrag
Hogstavfall er nøkkelen til økt satsing på bioenergi i Norge. Men vil dette påvirke bærekraften i skogøkosystemet og skogproduksjonen? Blir skogsjorda mer næringsfattig? Endres sammensetningen av arter i vegetasjonen? Vil artsmangfoldet bli redusert? Blir det mindre av de soppene som bryter ned planterester? Dette er noen av spørsmålene vi prøver å besvare gjennom prosjektet «Økologiske virkninger av økt biomasseuttak fra skog i Norge» (ECOBREM), som varer fra 2009 til 2013.
Sammendrag
Det er ikke registrert sammendrag
Forfattere
Tore SkrøppaSammendrag
The Svalbard Global Seed Vault provides facilities for the safety deposit of samples of seed of distinct genetic resources of importance to humanity, under black box arrangements and in permafrost conditions supplemented by refrigeration in accordance with internationally agreed standards. The Seed Vault was established by the Norwegian Government in 2008 at 78 degrees North in the Norwegian village of Longyearbyen, on Svalbard, the farthest north you can travel in the world on regularly scheduled commercial jet flight. It is managed in a tripartite arrangement between the Norwegian Ministry of Agriculture and Food, the Global Crop Diversity Trust and the Nordic Genetic Resource Center. The last organisation is responsible for the day to day operation and management and organises deposits in the Seed Vault. The Seed Vault offers the most secure back-up possible for a worldwide network of genebanks that together conserve and make available the biological foundation of agriculture. It contains duplicates of collections of all the world’s major seed crops and a huge range of minor crops. The Seed Vault has a capacity of 4.5 million distinct samples. The seeds are stored in “black-box conditions”, meaning that seed storage boxes remain the property of the institution that sent them, and are not even opened by any party other than the depositor. The storage is provided free of charge. At present, there are more than half a million seed samples in the Vault, origination from 212 countries of the world.
Sammendrag
Det er ikke registrert sammendrag
Forfattere
Jari Vauhkonen Liviu Ene Svein Solberg Marius Hauglin Vegard Lien Petteri Packalén Terje Gobakken Erik Næsset Timo Tokola Matti MaltamoSammendrag
The aim of this study was to validate and compare single-tree detection algorithms under different forest conditions. Field data and corresponding airborne laser scanning (ALS) data were acquired from boreal forests in Norway and Sweden, coniferous and broadleaved forests in Germany, and pulpwood plantations in Brazil. The data represented a variety of forest types from pure Eucalyptus stands with known ages and planting densities to conifer-dominated Scandinavian forests and more complex deciduous canopies in Central Europe. ALS data were acquired using different sensors with pulse densities varying between the data sets. Field data in varying extent were associated with each ALS data set for training purposes. Treetop positions were extracted using altogether six different algorithms developed in Finland, Germany, Norway and Sweden, and the accuracy of tree detection and height estimation was assessed. Furthermore, the weaknesses and strengths of the methods under different forest conditions were analyzed. The results showed that forest structure and density strongly affected the performance of all algorithms. The differences in performance between methods were more pronounced for tree detection than for height estimation. The algorithms showed a slightly better performance in the conditions for which they were developed, while some could be adapted by different parameterization according to training with local data. The results of this study may help guiding the choice of method under different conditions and may be of great value for future refinement of the single-tree detection algorithms.
Forfattere
Lise GrøvaSammendrag
Det er ikke registrert sammendrag
Sammendrag
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Sammendrag
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Sammendrag
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