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
Martyn Futter Katri Rankinen Joachim Audet Heleen de Wit Csilla Farkas Martin Forsius Jens Fölster Anastasija Isidorova Øyvind Kaste Dominika Krzeminska Katarina Kyllmar Emma Lannergård James Sample Eva Skarbøvik Lars Sonesten Brian KronvangSammendrag
Abstract River mouth nitrogen: phosphorus: silicon (N:P:Si) stoichiometry can predict marine eutrophication potential. Furthermore, deviations from Redfield molar N: P:Si = 16:1:20 ratios can offer insight into limiting nutrients and risks for harmful algal blooms (HAB). Here, we present N:P:Si stoichiometry based on total P, dissolved inorganic N and dissolved Si for 88 coastal river mouths in Norway, Sweden and Finland between 2017 and 2024. Rivers ranged from ultra-oligotrophic to hyper-eutrophic. N and P concentrations increased from north to south, with no latitudinal Si gradient. Most rivers were either P or jointly NP depleted relative to Si, with no overall evidence of Si depletion. However, there was some evidence of seasonal Si depletion. We show how using multi-element approaches, e.g., the Index of Coastal Eutrophication Potential (ICEP) can help to guide management actions. Specifically, Using Si depletion relative to N and P concentrations as an indicator of HAB potential may offer a means to identify catchments where nutrient load reductions can have the largest benefit on marine ecosystem health. Such multi-element approaches can complement single nutrient assessments based on, e.g., the Carlson Trophic Status Index or Water Framework Directive status class assessments.
Sammendrag
ABSTRACT This study evaluated the SWAT+ model in a Norwegian catchment with mixed forest-agriculture land use, tile drainage, and multiple lakes, and examined the added value of incorporating soft data as process-based constraints during calibration. The primary aim was to test whether such constraints improve hydrological consistency in addition to statistical fit. A stepwise methodology was applied, including parameter initialization, model verification, water balance soft calibration, and constraint-based hard calibration. We showed how each stage incrementally improved model performance. Three hydrological constraints were defined to represent water balance components (runoff coefficient), streamflow signatures (baseflow index), and expert knowledge of catchment behavior (tile flow ratio). Constraint-based calibration achieved slightly lower efficiency scores (NSE = 0.61, KGE = 0.72) than unconstrained calibration (NSE = 0.65, KGE = 0.77), reflecting the trade-off between optimizing performance metrics and ensuring realistic hydrological processes. The baseflow index was the most influential constraint, eliminating about 77% of non-behavioral simulations when assessed individually. The results also highlight the importance of lake initialization and the need for multiple performance metrics when tuning lake release parameters. Overall, integrating process-based knowledge strengthened internal consistency and increased confidence that SWAT+ performs well for the right reasons.
Forfattere
Wiktoria Kaczmarek-DerdaSammendrag
Bekjempelse av fremmede plantearter i grøntanlegg. Hva fungerer egentlig?
Sammendrag
This year marked a milestone in the history of GGAA. With over 450 participants from around 50 countries, GGAA2025 reflected our community’s truly global reach. Since its first meeting, GGAA has continued to evolve and grow in scope and themes, reflecting advances in science and the changing realities of agriculture and climate. During the opening ceremony, we highlighted challenges and opportunities for mitigating greenhouse gas emissions from ruminant livestock in Latin America, Africa, and Asia. This year we presented nine themes addressed in eight keynote presentations and 17 breakout sessions across livestock, climate, and sustainability. We also succeeded in sponsoring more than 50 researchers, including many students from non-OECD countries, whose voices are essential for shaping the future of our field. GGAA2025 placed strong emphasis on scaling solutions and addressing regional priorities, such as carbon finance. With the presence of the World Bank and IFAD, alongside our partners and sponsors, we hosted side events that brought greater focus to specific issues vital to Africa and low- and middle-income countries from Asia and Latin America. The combination of cutting-edge research, regional dialogue, and global policy engagement ensured that GGAA2025 was a platform for academic exchange addressing directly realworld problems.
Forfattere
Liv Guri VelleSammendrag
Kronikk skrevet for avisa Kommunal Rapport som tar for seg bruken av rødlista for naturtyper som viktig virkemiddel i norsk arealplanlegging
Sammendrag
Det er ikke registrert sammendrag
Sammendrag
NORSØK og NIBIO har gjennom flere år brukt det globale verktøyet SMART Farm til å analysere bærekraft på en rekke norske gårder i ulike forskningsprosjekt. En grundig sammenligning mellom SMART Farm og KSL viste stor grad av overlapp (Eiter m.fl. 2025) på mange områder innen blant annet dyrevelferd, helse, miljø og sikkerhet, produktkvalitet, bruk og håndtering av gjødsel og plantevernmidler, kildesortering og håndtering av avfall. Bøndene som driver i henhold til KSL oppnår derfor gode resultater innen disse områdene. Samsvaret mellom de to systemene bekrefter den høye graden av tillit som norsk matproduksjon har blant forbrukere. SMART Farm inneholder en del viktige indikatorer for bærekraft som ikke fanges opp av KSL. Dette handler i stor grad om sosial og økonomisk bærekraft, som blant annet lønnsomhet, arbeidsmengde, ferie og fritid, rekruttering, økonomisk sikkerhet ved sykdom, bondens dugnadsinnsats i lokalsamfunnet og bondens bidrag til å skape arbeidsplasser.
Forfattere
Liv Guri VelleSammendrag
Foredrag om den norske rødlista for naturtyper. Foredraget tar for seg hvordan rødlistingen foregår, IUCN-kriteriene, kunnskapsgjennomgang og hovedresultater. NAturtypen kystlynghei brukes som eksempel.
Forfattere
Jing Zhou Nicole Anderson Jeremiah DungSammendrag
Central Oregon is a major global producer of hybrid carrot seeds, growing up to 60% of the seed used for carrot root crop production in the United States and 40% of the hybrid carrot seed planted throughout the world. In carrot seed production, optimum seed moisture content (SMC) at the time of combine harvesting is critical for successful storage, cleaning, and further germination of the crop. Moisture-driven seed spoilage is likely to happen in storage for harvested carrot seeds with an SMC above 10% moisture. Besides, as crop residues dry below 10% moisture, combine efficiency degrades progressively, and the percentage of inert materials in the harvested material increases. Thus, carrot seed crops must be threshed below 10% SMC, but ideally not under 8%. Given the importance of SMC at the time of combine harvesting, and the narrow range of acceptable values, the current industry practice is to determine SMC in every field on each day of possible threshing. This process is time-consuming and labor intensive. Thus, the aim of this study is to evaluate the effectiveness of sensing approaches, as an alternative to the oven dying method, to determine SMC in carrot seed production in Central Oregon. In this study, we have collected carrot seed samples and compared their SMC values obtained using oven drying method, a hyperspectral imager, a NIR sensing device. The results indicate that the spectral region between 580 nm (red) and 810 nm (near infrared or NIR) significantly correlates with moisture changes in clean carrot seeds. The NIR sensor developed by the PIs achieved an average error of 1.55% with a correlation of determination of 0.60 for predicting SMC below 20.
Sammendrag
Det er ikke registrert sammendrag