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.
2024
Forfattere
Ellen Arneberg Kathrin Bögelsack Aase Midtgaard Skrede Maria Oldeman Lund Geir-Harald Strand Carl William Lund Arvid LillethunSammendrag
Rapporten omhandler første leveranse fra arbeidspakke 4 i prosjektet Landsdekkende våtmarksdatasett (LAVDAS), der fokuset har vært brukerbehov knyttet til data om våtmark og myr. Rapporten gjennomgår brukerbehovene til de involverte partene i prosjektet, samt behovene rapportert fra SSB. Det er også utført dybdeintervjuer med tre eksterne brukere som har knyttet seg til prosjektet.
Sammendrag
Foredrag på teamsmøte i Arbeidsgruppe for bevaringsutsetting
Forfattere
Zahra BitarafanSammendrag
Det er ikke registrert sammendrag
Forfattere
Zahra BitarafanSammendrag
Det er ikke registrert sammendrag
Forfattere
Arne SteffenremSammendrag
16 timer gjesteforelesninger innen temaene: Grunnleggende genetikk, kvantitativ genetikk, evolusjon, klimatilpasning og skogplanteforedling
Sammendrag
Forests play a major role in the mitigation of avalanche risk in Norway, but the regulations surrounding the management of “protection forests” are still being worked out. To promote protection forest management, avalanche hazard indication maps for Norway have been produced with the automated mapping tool NAKSIN in a way that makes it possible to quantity the effects of the current forests in a spatially explicit way. NAKSIN makes use of published relations for forest effects on snow properties and uses national models of forest characteristics to estimate the effects on release probability and runout given local climate and topography. The forest properties contain parameters that are directly measured (canopy cover), and properties that are predicted (tree diameter, number of trees) with approximately 70% precision according to ground truth data. NAKSIN uses these forest properties in long chains of models, comprising of both mechanistic and empirical elements, some of which are iterated over timesteps during avalanche flow. This means that errors could be propagated throughout those model chains in unexpected ways. The aim of this study was to conduct a sensitivity analysis to examine the effects of errors in the forest data for hazard mapping in a relevant case study region in fjordic western Norway. We examined hazard maps produced using 95% prediction errors for tree diameter and the number of trees per hectare to determine if these would dramatically affect the hazard zones. These hazard maps focused on runout properties as common release areas were implied for avalanches through a common forest canopy cover percentage applied across the two extreme scenarios. Across the entire region, the hazard zones were generally stable with respect to potential errors in the forest data, suggesting the approach is robust and the braking effect of forest is not overstated. There was one exception, where the prediction errors could reduce the forest braking function to negligible. This exception was easy to identify from the difference in hazard zones and the process allows us to consider where more precise measurements of forests could be required in areas with high consequences. The implications of various approaches to estimate forest leaf area index, and how this might impact on release probability are illustrated to further consider this in the next steps of this research.
Sammendrag
Forests play a major role in the mitigation of avalanche risk in Norway, but the regulations surrounding the management of “protection forests” are still being worked out. To promote protection forest management, avalanche hazard indication maps for Norway have been produced with the automated mapping tool NAKSIN in a way that makes it possible to quantity the effects of the current forests in a spatially explicit way. NAKSIN makes use of published relations for forest effects on snow properties and uses national models of forest characteristics to estimate the effects on release probability and runout given local climate and topography. The forest properties contain parameters that are directly measured (canopy cover), and properties that are predicted (tree diameter, number of trees) with approximately 70% precision according to ground truth data. NAKSIN uses these forest properties in long chains of models, comprising of both mechanistic and empirical elements, some of which are iterated over timesteps during avalanche flow. This means that errors could be propagated throughout those model chains in unexpected ways. The aim of this study was to conduct a sensitivity analysis to examine the effects of errors in the forest data for hazard mapping in a relevant case study region in fjordic western Norway. We examined hazard maps produced using 95% prediction errors for tree diameter and the number of trees per hectare to determine if these would dramatically affect the hazard zones. These hazard maps focused on runout properties as common release areas were implied for avalanches through a common forest canopy cover percentage applied across the two extreme scenarios. Across the entire region, the hazard zones were generally stable with respect to potential errors in the forest data, suggesting the approach is robust and the braking effect of forest is not overstated. There was one exception, where the prediction errors could reduce the forest braking function to negligible. This exception was easy to identify from the difference in hazard zones and the process allows us to consider where more precise measurements of forests could be required in areas with high consequences. The implications of various approaches to estimate forest leaf area index, and how this might impact on release probability are illustrated to further consider this in the next steps of this research.
Sammendrag
The presentation introduced the MARCHES project approach in modelling the nitrogen transport within the Želivka catchment using the SWAT+ model during the 1st stakeholder meeting.
Sammendrag
Step-by-step introduction of the SWAT+ model setup, data sources and soft-calibration results for Zelivka (Czech Republic) and Himmerland (Denmark) catchments
Sammendrag
Black scurf and stem canker on potatoes, caused by the destructive soil-borne pathogen Rhizoctonia solani Kühn are a major problem for potato growers worldwide. Biological control agents such as plant leaf extracts can influence the severity of R. solani infection and help to reduce the risks to human health and the environment associated with the use of hemical fungicides. In this study, the inhibitory effect of the secondary plant metabolites aucubin, catalpol (iridoid glucosides) and acteoside (phenylethanoid glycoside) from methanolic extracts of Plantago lanceolata (Ribwort plantain (en), Smalkjempe (no)), a native plant in the Nordic countries, on the growth of R. solani mycelium on potato dextrose agar growth medium will be tested for the first time. Plant extracts will be obtained from plants of different age classes and metabolic profiling will be performed with LC-(HR)MS analyses and the concentrations of identified metabolites will be determined. To analyse whether the inhibitory interactions on fungal growth originate from the known secondary metabolites or are caused by the bulk plant extract, we will first expose the fungus to different concentrations of extracts, redissolved in aqueous solution and added to the growth medium, and in a further step we will carry out the same approach with the isolated secondary metabolites as pure substances. The fugus will be incubated for 5 days and the mycelium growth radius will be measured every 24 hours during incubation. Thereafter a suppression index will be calculated and compared to the untreated control. The results are pending at the time of submission of the abstract but will provide a good initial understanding to determine whether extracts of P. lanceolata can be used as a natural biological control agent as an additional component of a more sustainable strategy to manage the risk of infection of potato with R.solani and to reduce the severity of the disease caused by this pathogen.