Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2021
Authors
Mekjell Meland Milica Fotiric-Aksic Frank A. MaasAbstract
No abstract has been registered
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Mekjell Meland Milica Fotiric-Aksic Frank A. MaasAbstract
No abstract has been registered
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Arne SteffenremAbstract
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Authors
Sophie Mentzel Merete Grung Knut-Erik Tollefsen Marianne Stenrød Karina Petersen S. Jannicke MoeAbstract
Conventional environmental risk assessment of chemicals is based on a calculated risk quotient, representing the ratio of exposure to effects of the chemical, in combination with assessment factors to account for uncertainty. Probabilistic risk assessment approaches can offer more transparency by using probability distributions for exposure and/or effects to account for variability and uncertainty. In this study, a probabilistic approach using Bayesian network modeling is explored as an alternative to traditional risk calculation. Bayesian networks can serve as meta-models that link information from several sources and offer a transparent way of incorporating the required characterization of uncertainty for environmental risk assessment. To this end, a Bayesian network has been developed and parameterized for the pesticides azoxystrobin, metribuzin, and imidacloprid. We illustrate the development from deterministic (traditional) risk calculation, via intermediate versions, to fully probabilistic risk characterization using azoxystrobin as an example. We also demonstrate the seasonal risk calculation for the three pesticides.
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Claire CoutrisAbstract
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Most food in developed countries, including organic fruits and vegetables, is sold through supply chains run by large wholesalers and supermarket chains. A certain share is sold through local marketing channels such as speciality stores, food box schemes, farmers' markets, and community-supported agriculture (CSA). This study uses qualitative interviews and a quantitative survey to expose the differences between mainstream and local marketing of organic fruits and vegetables in Norway, why and to what extent farmers selling through these two sales channels are different. We find that the supermarket chains' requirements to provide large quantities of uniform product are burdensome for smaller farmers to match. Farmers supplying the mainstream supermarkets tend to be larger and more rurally located. Farmers selling through local marketing are likely to be smaller, closer to urban areas and more diversified in their production. For local marketing farmers, it is more feasible to produce according to organic principles, using local resources and crop rotation. Survey results also show that local marketing farmers are less motivated to produce fruits and vegetables by income and more motivated to produce organically to achieve better quality and sustainability. At the same time, there are also many similarities between the two groups, and we do not find evidence of a general “conventionalisation” of organic agriculture in Norway.
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No abstract has been registered
Authors
Anne Sophie Daloz Johanne Hope Rydsaa Øivind Hodnebrog Jana Sillmann Bob van Oort Christian Wilhelm Mohr Madhoolika Agrawal Lisa Emberson Frode Stordal Tianyi ZhangAbstract
The Indo-Gangetic Plain (IGP) is one of the main wheat-production regions in India and the world. With climate change, wheat yields in this region will be affected through changes in temperature and precipitation and decreased water availability for irrigation, raising major concerns for national and international food security. Here we use a regional climate model and a crop model to better understand the direct (via changes in temperature and precipitation) and indirect (via a decrease in irrigation availability) impacts of climate change on wheat yields at four sites spread across different states of the IGP: Punjab, Haryana, Uttar Pradesh and Bihar. The results show an increase in mean temperature and precipitation as well as maximum temperature during the growing season or Rabi season (November–April). The direct impact of climate change, via changes in temperature and precipitation, leads to wheat yield losses between −1% and −8% depending on the site examined. Then, the indirect impact of climate change is examined, considering the impact of climate change on water availability leading to a decrease in irrigation. In this case, the yield losses become significant and much higher, reaching −4% to −36% depending on the site examined and the irrigation regime chosen (6, 5, 3 or 1 irrigations). This work shows that the indirect impacts of climate change may be more detrimental than the direct climatic effects for the future wheat yields in the IGP. It also emphasizes the complexity of climatic risk and the necessity of integrating indirect impacts of climate change to fully assess how it affects agriculture and choose the adequate adaptation response.