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
Sammendrag
Dette overvåkings- og kartleggingsprogrammet er finansiert av Mattilsynet og arbeidet er utført av Norsk institutt for bioøkonomi (NIBIO) og Mattilsynet. Formålet er å så tidlig som mulig oppdage fremmede og skadelige trelevende insektarter som måtte ankomme Norge. Beredskapsdelen av prosjektet inkluderer et lett tilgjengelig lager av feller og kjemiske lokkemidler til bruk dersom utvalgte karanteneskadegjørere skulle bli oppdaget. De ulike lokkemidlene som brukes i prosjektet tiltrekker seg biller i slektene Anoplophora og Agrilus, samt flere andre bark- og trelevende insektarter på EPPO (European and Mediterranean Plant Protection Organization) sine lister over karanteneskadegjørere. Sommeren 2025 ble fire lokkemidler testet i feller ved bruk av en fangstmetodikk etablert i 2021. Fellene var utplassert i skogområder nær åtte ulike virksomheter som var vurdert av Mattilsynet å ha forhøyet risiko for å introdusere fremmede arter. Totalt ble det fanget 5 616 trelevende insekter. Det ble ikke fanget noen karanteneskadegjørere.
Forfattere
Annbjørg KristoffersenSammendrag
Det er ikke registrert sammendrag
Sammendrag
Det er ikke registrert sammendrag
Sammendrag
Excessive phosphorus and nitrogen losses from agricultural areas cause eutrophication, one of the most prevalent global water quality challenges. This study's main goal was to identify and evaluate the occurrence of diffuse pollution attributed to extreme hydrologic events from agriculturally dominated areas. We analyzed the Norwegian Agricultural Environmental Monitoring Program long-term data from four catchments representing different agricultural practices and climate regimes. Extreme flows were set at ≥10% exceedance (Q10) flows and the corresponding nutrient and sediment losses were evaluated. The extreme flow occurrences between the catchments were significantly different, especially in spring and autumn months. In southeastern Norway (cereal crops; distinct winter freeze and thaw), at least 70% of the total suspended sediments (TSS) and total phosphorus (Ptot) losses were attributed to extreme flows. Forty percent of the TSS and nutrient losses were attributed to extreme flows in the grassland-dominated in western Norway (coastal climate, high annual total precipitation). In southern Norway (vegetables, coastal climate), TSS and Ptot losses were largely attributed to extreme events but only 30% of the dissolved phosphorus and 40% of the total nitrogen losses. The occurrence of diffuse pollution due to extreme events varied significantly between agricultural practices and climate regimes. We recommend that the effectiveness and efficiency of conservation measures against extreme hydrologic events in relation to agricultural practices and prevailing climate conditions should be accounted for in planning and implementation.
Forfattere
Annbjørg KristoffersenSammendrag
Det er ikke registrert sammendrag
Forfattere
Annbjørg KristoffersenSammendrag
Det er ikke registrert sammendrag
Forfattere
Randi HesjedalSammendrag
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Forfattere
Rupesh Kumar Singh Henrique Trindade João Ricardo Sousa Arne Sæbø Vishnu D. Rajput Tao ZhangSammendrag
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Forfattere
Mandeep PoudelSammendrag
Det er ikke registrert sammendrag
Sammendrag
Pedotransfer functions (PTFs) are widely used as an efficient alternative for estimating soil hydraulic properties. However, insufficient understanding of how specific input data characteristics drive PTF prediction performance, coupled with challenges in assessing PTF transferability beyond their development datasets, limit their robustness and broad application. Here, we employed the hierarchical Rosetta3 as the development dataset and evaluated its PTF performance using two independent application datasets (National Cooperative Soil Survey (NCSS) and HYBRAS-V2), comprising over 51,900 samples. To further investigate the effect of the input similarity on PTF performance, the Chamfer Distance (CD) was used to quantify the similarity between the development and application datasets. The extensive NCSS database allowed us to stratify the application dataset by soil temperature regimes, texture classes, and depths for a detailed performance evaluation. Results showed that incorporating additional inputs (e.g., bulk density, field capacity, and wilting point) moderately reduces the correlations between these newly added inputs and the estimation residuals, and that higher residual-input correlations are associated with inferior PTF performance. Furthermore, a lower CD (better resemblance of development and application dataset) leads to better PTF performance. However, increasing input complexity using the hierarchical Rosetta3 models mitigates this effect of resemblance, enhancing robustness across diverse soil and environmental conditions. These findings highlight the importance of analyzing residual-input correlations and suggest that quantifying input-data similarity between PTF development and application datasets can serve as a practical approach to assess the transferability of PTFs.