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.
2026
Forfattere
Dafni Foti Stephen Amiandamhen Eleni Voulgaridou Elias Voulgaridis Costas Passialis Stergios AdamopoulosSammendrag
Abstract This study investigated the incorporation of various waste materials including wastepaper, Tetra Pak, wood chips and scrap tire fluff into flue gas desulfurization (FGD) gypsum and cement mortar matrices to produce sustainable composite materials. Four distinct composite types based on the waste materials were developed and evaluated for selected properties including thermal and acoustic insulation. The proportion of the waste materials was varied between 10 and 40 vol% of the base matrix. The compressive strength of the filled gypsum composites was in the range of 4.17–10.39 N/mm² while the pure gypsum was 11.38 N/mm². The addition of the wastes in gypsum composites reduced compressive strength by about 10% for the best recipe and as large as 60% for the worst combination. However, the measured strength still exceeds the strength of typical gypsum wallboard with a compressive strength of about 3–4 N/mm² for whole-board crushing tests and it is much lower for point loads. The normal-incidence sound absorption coefficient indicated that the waste-filled samples absorbed around 80% of the incident sound energy between 2000 and 3000 Hz, comparable to some commercial acoustic foams. The results highlight the potential of utilising these waste-based composites in environmentally friendly construction applications. Depending on the waste type and matrix used, the results revealed trade-offs between multi-functional performance and sustainability benefits.
Sammendrag
Potato field management in Europe is already optimized for high production and tuber quality; however, numerous environmental challenges remain if the industry is to achieve “green economy” targets, such as less resources utilized, and less nitrate leached to the environment. Strategic co-scheduling irrigation and nitrogen (N) fertilization might increase resource use efficiency while minimizing reactive losses such as nitrate leaching. This study aimed to quantify the combined effect of irrigation and N fertilization on potato production, growth, and resource use efficiencies. A field experiment was conducted from 2017 to 2019 on a coarse sandy soil in Denmark, with a drought event occurring in 2018. Full (Ifull, maximized), deficit (Idef, 70–80 % of Ifull) and low irrigation treatments (Ilow, minimized amount to keep crop survival), each under full (Nfull, maximized) and variable (Nvar, variable amount according to the crops’ needs) N fertilization were applied. The analyses results show that Ilow limited potato growth under a drought-heat event; otherwise, potato growth was comparable between Ifull and Idef treatments, with 31–32 % higher irrigation efficiency (IE) under Idef than under Ifull. Nitrate leaching was variable and not significantly different among the treatments, being in general 9–13 % lower under Idef in absolute terms than under Ifull. Unexpectedly, outcomes from Nvar were statistically lower compared to those from Nfull. Radiation use efficiencies (RUEs) from Ilow and Nvar were significantly lower than from Ifull and Idef (14–19 %), and from Nfull (9–11 %). N use efficiencies (NUE) were comparable between N fertilization treatments but significantly different among different irrigation treatments. Overall, this study confirms that Idef is the best irrigation strategy. Future efforts should focus on developing improved approaches for detecting in-season crop N status and further quantifying N requirements, as well as promoting the co-scheduled management of irrigation and N fertilization. Remote sensing approaches have great potential to assist with this.
Forfattere
Yngve RekdalSammendrag
Denne rapporten er ei vegleiing i vegetasjonskartlegging i målestokk 1:20 000 – 50 000 slik dette er utført sidan første utgåva kom i 1987. Vegleiinga tar primært sikte på å bli brukt under opplæring av nye inventørar, og som ei handbok under feltarbeidet. Metoden for denne kartlegginga byggjer mykje på vegetasjonen sin fysiognomi slik dette kjem til uttrykk gjennom dominerande artar og vegetasjonen sin struktur. Kartlegginga med klassifisering og figurering, foregår som ein kombinasjon av synfaring i felt, tolking av flyfoto ut frå nyansar i farge og tekstur i biletet og inventøren sin økologiske kunnskap. Kartleggingssystemet består av 45 vegetasjonstypar og 9 andre arealtypar. Typane er samla i 12 grupper. Under kartlegging blir det i tillegg brukt ei rekkje tilleggsteikn for å få fram viktig informasjon som ikkje ligg i beskrivinga av vegetasjonstypane.
2025
Forfattere
Lars Sandved DalenSammendrag
Kursholder er kommunikasjonsrådgiver Lars Sandved Dalen ved NIBIO. Han har siden 2010 hjulpet forskere og fagpersoner med å få over 100 kronikker og debattinnlegg på trykk i norske aviser.
Sammendrag
– I Telemark var fangstene de høyeste siden det store utbruddet av granbarkbiller som startet midt på 1970-tallet, forteller forsker.
Sammendrag
This paper explores the generation of “realistic” 3D representations of individual trees to enhance visualizations of forest simulation tool outcomes. By leveraging remote sensing data, we aim to capture individual tree features and characteristics accurately, linking them to dynamic simulations of forest structures and composition. Employing a deep learning approach, we train models on existing 3D scanned data to produce diverse and realistic visual representations of specific tree species. Our method addresses the limitations of existing synthetic tree generation techniques, which often overlook species-specific characteristics. Our approach emphasizes the generation of diverse tree forms, accounting for differences in trunk shape, canopy size, and branching structures. The resulting 3D data offers potential applications for realistic future forest visualizations and improved data augmentation in tree classification models, ultimately contributing to the creation of virtual forests that represent rich species diversity.
Forfattere
Thiago InagakiSammendrag
Det er ikke registrert sammendrag
Forfattere
Till SeehusenSammendrag
Gjestforelesing innen 'Grønn teknologi og presisjon' fagskolen Innlandet Gjøvik
Forfattere
Tove Vaaje-KolstadSammendrag
Det er ikke registrert sammendrag
Forfattere
Till SeehusenSammendrag
Det er ikke registrert sammendrag