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.
2019
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Habtamu AlemAbstract
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Karin Westlund Petrus Jönsson Dag Fjeld Peter Rauch Christoph KoglerAbstract
Seasonal variations in wood supply are linked to the regional operating environment. This study constitutes the Norwegian contribution to Era-Net MultiStrat (Multimodal strategies for more resilient wood supply) covering oceanic, sub-arctic and continental climate zones. The oceanic zone is characterized by considerable seasonal variation in both temperature and precipitation. The goal of the study was to seek solutions for more resilient wood supply under these conditions. The study started with a general mapping of wood supply management processes including common demand and supply risks (WP1). The work continued with analysis of three years of production and transport reports (2014-2016) with tracking of roadside stocks and transport lead times (WP2). Daily temperature, precipitation, and snowpack were tracked with data from 65 surrounding weather stations. A simple multimodal transport problem with a rolling selection of planning horizons was then used to find the efficient multimodal solutions for the core, adjacent and peripheral supply regions through 12 balance periods per year (WP3). The transport analysis covers 65 supply districts feeding 6 assortment groups to 10 mills via 11 shipping terminals. The transport analysis varied both vessel cargo capacity and cargo collection practices. The results demonstrated a wide range of solutions to ensure roundwood availability with limited increases in system costs. While the transport analysis demonstrated the contribution of the multimodal solutions to structural flexibility, it also revealed a bottleneck for resilience of the wood supply system; seasonal variation in truck transport output (m3km/week). The geographical distribution of seasonality showed the main source to be one particular supply region. A subsequent wood supply planning workshop with production managers indicated that a bottleneck for improved production planning was short wood purchase and planning horizons. A simple optimization experiment was therefore set up to quantify the feasibility of more specific site-type selection according to actual soil and seasonal weather conditions for the selected region. On-line grid-based groundwater modeling was used to monitor weekly geographical variations in bearing capacity and the experiment provided a plausible re-scheduling of flows to reduce variation in delivery volumes and transport output.
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Milica Fotiric Akšic Dragana Dabic Zagorac Milica Sredojevic Jasminka Milivojevic Uros Gasic Mekjell Meland Maja NaticAbstract
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Kirsten TørresenAbstract
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Carmen Morales-Rodríguez Sten Anslan Marie-Anne Auger-Rozenberg Sylvie Augustin Yuri Baranchikov Amani Bellahirech Daiva Burokienė Dovilė Čepukoit Ejup Çota Kateryna Davydenko H. Tuğba Doğmuş Lehtijärvi Rein Drenkhan Tiia Drenkhan René Eschen Iva Franić Milka Glavendekić Maarten de Groot Magdalena Kacprzyk Marc Kenis Natalia Kirichenko Iryna Matsiakh Dmitry L. Musolin Justyna A. Nowakowska Richard O’Hanlon Simone Prospero Alain Roques Alberto Santini Venche Talgø Leho Tedersoo Anne Uimari Andrea Vannini Johanna Witzell Steve Woodward Antonios Zambounis Michelle ClearyAbstract
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Little attention has been paid to the effects of personality traits on the consumption of wine and beer. We used a survey to investigate the associations between personality traits and the differences in expected consumption frequencies of wine and beer for 3,482 Norwegian respondents. High scores on extraversion and openness to experiences increased the expected frequency of wine consumption, high score on agreeableness reduced the frequency of wine consumption, while scores on conscientiousness and neuroticism had no effects. For beer, there were no significant effects between personality traits and the frequency of consumption.
Abstract
Aim: Many countries lack informative, high‐resolution, wall‐to‐wall vegetation or land cover maps. Such maps are useful for land use and nature management, and for input to regional climate and hydrological models. Land cover maps based on remote sensing data typically lack the required ecological information, whereas traditional field‐based mapping is too expensive to be carried out over large areas. In this study, we therefore explore the extent to which distribution modelling (DM) methods are useful for predicting the current distribution of vegetation types (VT) on a national scale. Location: Mainland Norway, covering ca. 324,000 km2. Methods: We used presence/absence data for 31 different VTs, mapped wall‐to‐wall in an area frame survey with 1081 rectangular plots of 0.9 km2. Distribution models for each VT were obtained by logistic generalised linear modelling, using stepwise forward selection with an F‐ratio test. A total of 116 explanatory variables, recorded in 100 m × 100 m grid cells, were used. The 31 models were evaluated by applying the AUC criterion to an independent evaluation dataset. Results: Twenty‐one of the 31 models had AUC values higher than 0.8. The highest AUC value (0.989) was obtained for Poor/rich broadleaf deciduous forest, whereas the lowest AUC (0.671) was obtained for Lichen and heather spruce forest. Overall, we found that rare VTs are predicted better than common ones, and coastal VTs are predicted better than inland ones. Conclusions: Our study establishes DM as a viable tool for spatial prediction of aggregated species‐based entities such as VTs on a regional scale and at a fine (100 m) spatial resolution, provided relevant predictor variables are available. We discuss the potential uses of distribution models in utilizing large‐scale international vegetation surveys. We also argue that predictions from such models may improve parameterisation of vegetation distribution in earth system models.