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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.

2019

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This study evaluates MODIS snow cover characteristics for large number of snowmelt runoff events in 145 catchments from 9 countries in Europe. The analysis is based on open discharge daily time series from the Global Runoff Data Center database and daily MODIS snow cover data. Runoff events are identified by a base flow separation approach. The MODIS snow cover characteristics are derived from Terra 500 m observations (MOD10A1 dataset, V005) in the period 2000–2015 and include snow cover area, cloud coverage, regional snowline elevation (RSLE) and its changes during the snowmelt runoff events. The snowmelt events are identified by using estimated RSLE changes during a runoff event. The results indicate that in the majority of catchments there are between 3 and 6 snowmelt runoff events per year. The mean duration between the start and peak of snowmelt runoff events is about 3 days and the proportion of snowmelt events in all runoff events tends to increase with the maximum elevation of catchments. Clouds limit the estimation of snow cover area and RSLE, particularly for dates of runoff peaks. In most of the catchments, the median of cloud coverage during runoff peaks is larger than 80%. The mean minimum RSLE, which represents the conditions at the beginning of snowmelt events, is situated approximately at the mean catchment elevation. It means that snowmelt events do not start only during maximum snow cover conditions, but also after this maximum. The mean RSLE during snowmelt peaks is on average 170 m lower than at the start of the snowmelt events, but there is a large regional variability.

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Despite the scientific evidence that more plants and less animal-based food is more sustainable, policy interventions to reduce meat consumption are scarce. However, campaigns for meat free days in school and office canteens have spread globally over the last years. In this paper, we look at the Norwegian Armed Forces’ attempt to introduce the Meatless Monday campaign in their camps, and we evaluate the implementation process as well as the effect of the campaign on soldiers. Qualitative interviews with military staff indicate that lack of conviction about benefits of meat reduction, and the fact that kitchen staff did not feel ownership to the project, partly explain why vegetarian measures were not fully implemented in all the camps. A multivariate regression analysis with survey data from soldiers indicate that those who have experienced meat free days in the military kitchen are more prone to claim that joining the military has given them a more positive view on vegetarian food. Furthermore, the survey gives evidence that stated willingness to eat more vegetarian food is higher among soldiers who believe in the environmental and health benefits of meat reduction.

Sammendrag

BACKGROUND: There are increasing demands for wild berries not only for various food and beverage products, but also in cosmetics and for extraction of various biochemical compounds. The newly funded project “WILDBERRIES” (Norwegian Research Council) will focus on predictability of yield and quality of lingonberry (Vaccinium vitis - idaea). With characteristics like taste, secondary metabolites with health properties, versatility and preservative properties there is a great potential for value creation. It is estimated that the annual crop of lingonberries in Norway is 115,000 tones, most of it non-exploited. One of the key challenges for further commercialization is access to the raw material. The Norwegian topography are challenging for the logistic around harvesting. However, the same landscape can possibly give unique qualities. The availability and quality of wild berry yields vary from year to year and from locations to location. Yields are affected by climatic conditions years in advance, during the ripening and condition and management of the forest. OBJECTIVE: WILDBERRIES aim to increase the commercial utilization of wild berries from Norwegian forests. METHODS: WILDBERRIES seek to develop tools to map areas with high yields and/or high-quality berries. Experiments at controlled climatic conditions will give new knowledge on key factors affecting flower development, ripening, yield and quality. RESULTS: Plots for phenotyping and berry collection will be established at different sites summer 2019. The existing clone collection of lingonberries will be increased, and controlled experiments will be performed from the second project year. CONCLUSIONS: Wanted outcome of the project are models for prediction of yields and quality of the berries.

Sammendrag

There is a large industrial demand for wax. The market is dominated by synthetic waxes. In contrast to the synthetic wax natural waxes are renewable and thus contribute to sustainalbe processes and reduced carbon emission. In Scandinavia side streams from Wild berries is an interesting candidate for wax production.

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© 2019. This is the authors’ accepted and refereed manuscript to the article. Locked until 4.04.2020 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/