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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.

2025

Sammendrag

Intensification of forest management is seen as one important measure to increase carbon sequestration and contribute to balance CO2 emissions and mitigate climate change. Potential measures for forest management intensification include increasing the percentage of the area that is actively reforested after felling, planting at higher densities and with genetically improved material, nitrogen fertilization, and pre-commercial thinning. Here we assessed the mitigation potential of these practices in Norwegian forests from 2018 until the end of the 21st century. As a result, when these management practices were intensified, separately and simultaneously, carbon sequestration over the 80-year simulation period was larger than under current practices. Pre-commercial thinning gave the largest additional 80-year carbon dioxide removal increment and fertilization the smallest. The largest accumulated carbon dioxide removal potential occurred when intensifying all the proposed measures in one scenario and was estimated to be around 329.9 Tg CO2 by the end of the century, corresponding to offset more than six times Norway's total GHG emissions in 2022. If the intensification of these practices is considered separately, our results suggested that pre-commercial thinning and active reforestation after felling, in that order, should be prioritized as climate change mitigation measures, followed by genetic improvement, planting density and fertilization.

Til dokument

Sammendrag

Chocolate spot (CS), caused by Botrytis fabae, is one of the most destructive fungaldiseases affecting faba bean (Vicia faba L.) globally. This study evaluated 33 fababean cultivars across two locations and over 2 years to assess genetic resistance andthe effect of fungicide application on CS progression. The utility of unmanned aerialvehicle–mounted multispectral camera for disease monitoring was examined. Signif-icant variability was observed in cultivar susceptibility, with Bolivia exhibiting thehighest level of resistance and Louhi, Sampo, Vire, Merlin, Mistral, and GL Sunriseproving highly susceptible. Fungicide application significantly reduced CS severityand improved yield. Analysis of canopy spectral signatures revealed the near-infraredand red edge bands, along with enhanced vegetation index (EVI) and soil adjustedvegetation index, as most sensitive to CS infection, and they had a strong negativecorrelation with CS severity ranging from −0.51 to −0.71. In addition, EVI enabledearly disease detection in the field. Support vector machine accurately classified CSseverity into four classes (resistant, moderately resistant, moderately susceptible, andsusceptible) based on spectral data with higher accuracy after the onset of diseasecompared to later in the season (accuracy 0.75–0.90). This research underscores thevalue of integrating resistant germplasm, sound agronomic practices, and spectralmonitoring for effectively identification and managing CS disease in faba bean