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.
2023
Sammendrag
After fungal decay experiments chemical characterisation of the wood is often a routine and several methodological approaches are available. In this study, we tested if simultaneous thermal analysis (STA) is a valid alternative to traditional wet chemical methods since STA allows significantly smaller sample size and faster analysis. Three model fungi including the brown rot fungi Rhodonia placenta and Gloeophyllum trabeum and the white rot fungus Trametes versicolor were employed in the study using Norway spruce as substrate. The experiment was harvested after 10, 20 and 52 weeks. At each harvest interval, aliquots of the material were characterized by STA and wet chemical methods. The results validated that STA can be effectively used to estimate cell wall composition of brown rot depolymerised wood. However, STA slightly overestimated cellulose at brown rot decay above 50%. The method was not verified for simultaneous white rot because STA only estimated hemicellulose correctly compared to the wet chemical method. Hence, STA is considered suitable for brown rot fungi below 50% mass loss but not for simultaneous white rot because STA did not estimate cellulose and lignin correctly.
Sammendrag
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Forfattere
Matthias KoeslingSammendrag
Extending the FARMnor model (Flow Analysis and Resource Management for Norway) for sheep based on the guidelines from IPCC (2019) and Carbon Limits (2021). In the calultaions it is differentiated between lambs, sheep, ewes and rams and period in barn as well as grazing farm- and rangeland. In addition the possibility to include carbon sequestration due to grazing rangeland was added.
Forfattere
Matthias KoeslingSammendrag
Enabling the FARMnor LCA-model (Flow Analysis and Resource Management for Norway) to handle large number of farms to calculate farm-specific LCA's. For each farm, data are automatically imported, the LCA calculated and results stored before proceeding with the next farm. This update allows in addition to conduct sensitivity and uncertainty analyses.
Sammendrag
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