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
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
Det er ikke registrert sammendrag
Forfattere
Rupesh Kumar Singh Henrique Trindade João Ricardo Sousa Arne Sæbø Vishnu D. Rajput Tao ZhangSammendrag
Det er ikke registrert sammendrag
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.
Forfattere
Abdullah Bugra Senol Linn Solli John Morken Wietske Annechien Stel Nazli Pelin Kocatürk SchumacherSammendrag
Aquaculture sludge from recirculating aquaculture systems (RAS) represents a growing waste stream with potential for biogas recovery; however, elevated salinity can inhibit anaerobic digestion (AD). This study evaluated the biochemical methane potential (BMP) of RAS sludge under freshwater (0%), brackish (1.2%), and marine (3.3%) conditions and assessed the effectiveness of biochar and zeolite. Batch BMP assays were conducted under mesophilic conditions at an inoculum-to-substrate ratio of 2:1, with additives applied at 0.8 g/g VS. Increasing salinity significantly reduced methane yields (p < 0.05), from 533.6 ± 3.4 NmL CH4/g VS in freshwater to 478.1 ± 10.2 and 341.3 ± 0.6 NmL CH4/g VS in brackish and marine conditions, respectively. Biochar enhanced methane production by 5.9–11.3% across all salinities, while zeolite increased yields by 7.7% and 15.7% under brackish and marine conditions, respectively, but had no effect in freshwater. Methane production kinetics were well described by the modified Gompertz model (R2 = 0.983–0.999). Overall, biochar was more effective at low salinity levels, whereas zeolite mitigated salinity-induced inhibition, indicating that targeted additive application can enhance methane recovery from saline aquaculture sludge and support sustainable RAS waste management.
Sammendrag
Norway spruce Picea abies is an economically important tree species in Europe, actively managed for forestry. Among the most negative biotic factors for growth and hence forest production is damage caused by wildlife, such as damage through bark stripping by red deer Cervus elaphus. We quantified bark stripping damage on Norway spruce trees in across 450 stands (aged 20–72 years) spanning a 400 km latitudinal range along Norway's west coast and analysed the underlying mechanisms driving increased probability of bark stripping by red deer. A total of 74% of tree stands had bark stripping damage. The mean percentage of damaged trees was 16.0%, but 50 stands (11.1% of the stands) had more than 50.0% damaged trees. The most important factor determining probability for bark stripping was broad-scale red deer density, where the probability increased markedly when density reached approximately two harvested red deer per km2. In addition, proximity to agricultural farmland, distance from roads, site productivity, distance between twig whorls and terrain ruggedness index increased the probability of bark stripping. Our study on bark stripping on Norway spruce highlights the importance of red deer population control, but also the importance of evaluating environmental factors as well as site factors and tree characteristics in forestry planning to mitigate damage from red deer.
Forfattere
Grete H. M. JørgensenSammendrag
Foredrag 3 timer undervisning for Trener 2 studenter ved Rytterforbundets utdanning