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.
2026
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Sammendrag
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Forfattere
Shumaila Khatri Hanne Kathrine Sjølie Kristina Bringedal Gedde Lizhen Huang Per Kr. Rørstad Roja Modaresi Lone RossSammendrag
This report summarizes the main findings of the research conducted within the CircWOOD project during the period 2022-2026 and presents key recommendations for decision-makers towards wood reuse in the construction sector. CircWOOD aimed to enable and support a transition to a sustainable, competitive, and technologically optimized circular wood value chain through a transdisciplinary research approach. The project was carried out by five research institutions and universities, exploring technical, environmental, economic, and social dimensions in the value chain. Our research findings demonstrate potentials for wood reuse, while also highlighting a variety of practical and market-related challenges. The report presents eight key recommendations for policymakers, industry stakeholders, and other decisionmakers to drive wood reuse. Improving sorting systems and quality control for wood waste from construction and demolition activities and prioritizing deconstruction over demolition can enable reuse. Developing supporting infrastructure such as material banks, reuse centers, and logistics systems is also important. Wood reuse can create new opportunities for businesses, while continued research, better data, and AI can strengthen decision-making and support a more resource-efficient built environment.
Forfattere
K.R. Everett N. Alkan C.L. Lennox M. Wenneker R.R. Burlakoti R.W.A. Scheper S.G. Aćimović D. Adora L. Aragón E. Baldassarre Svecova M. Bannister A. Bernasconi S. Bhatia I. Block Jorunn Børve A. Casas M. Chillet E.K. Dann G. Derrick S. Droby M. van Dyk J. Faust S. Gabioud Rebeaud M. Guizzardi J.L. Henriquez S. Kabir S. Kandel G.S. Karaoglanidis R. Kilmister F. Khodadadi A. Licheter P.-H. Lo K. Ludman-Mihaly D. Marinkovich G. Makhathini Mkhwanazi J.C. Meitz-Hopkins J.M. van Niekerk I. Nokdy L. Palou J. Parra G. Parton K. Peter S. Pushparajah W. du Plooy S. Rivera G. Romanazzi F.R. Shiraz S. Testempasis K. Tomingas C. de Villiers X. XuSammendrag
A workshop was held during the VII International Symposium on Postharvest Pathology (held in conjunction with the IX International Postharvest Symposium and the X International Symposium on Human Health Effects of Fruit and Vegetables) to discuss reducing fungicides in orchards for controlling postharvest diseases. This article summarizes the discussion that was guided by four convenors (Burlakoti, Wenneker, Lennox, Alkan), stimulated by the two organizers (Scheper, Everett), and contributed to by 45 workshop participants. Alternative treatments and procedures discussed included the importance of an elucidated disease cycle and knowledge of pathogen biology to target control strategies. Also discussed were novel/unconventional controls such as inducing a defense response or RNA interference, biocontrol including new knowledge of the microbiome, manipulation of the environment and physical treatments. Given the complexity of fruit decay and pathogen resistance processes, a combination of treatments is likely to be the best solution. For instance, combining physical treatments like UV-C exposure with biological priming or chemical agents could result in synergistic effects that enhance resistance more effectively than any single treatment alone.
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Sammendrag
Core rot in apple has only been considered a problem in a limited number of cultivars and has not been a focus in Norway, or in many other countries. There is currently a high demand for apple juice and cider in Norway. As core rot is not detectable on the fruit surface until the rot reaches the outer fruit flesh, it is possible for infected fruit to be used for juice without noticing the rot. Since Fusarium spp., one of the known causes of core rot, is a known producer of mycotoxins, precautionary investigations are needed. Over several seasons it was found that both pre- and postharvest rot of Fusarium spp. were common on most of the cultivars grown in Norway. As in other countries, Fusarium avenaceum has dominated so far, but Fusarium paeoniae was also identified on apple. Inoculation experiments with attached fruit and in storage were successful both in establishing core rot and detecting different mycotoxins from the fruit. There were differences between isolates of F. avenaceum in both the type of mycotoxins produced and the amount. A potential life cycle for Fusarium spp. on apple fruit in Norway is suggested, and possible ways of reducing the incidence both pre- and postharvest are discussed.
Forfattere
Stephan Hoffmann Mostafa Hoseini Moritz Wingartz Mahmoud Rajabi Helle Ross Gobakken Rasmus AstrupSammendrag
A functional and low-impact forest road network is essential for sustainable forest management, yet maintaining such infrastructure is costly and requires monitoring tools that are reliable and simple enough for operational use. We present an automated approach to detect, map, and evaluate forest road surface deterioration, designed to support end-users, including those with limited road expertise, to indicate required maintenance actions. The system relies on data collected by the vehicle-mounted near-field sensor platform RoadSens, which integrates stereo camera imagery with GNSS-based geo-referencing to capture detailed road surface information. Collected data are processed within a monitoring and scheduling environment using a YOLOv8 object detection model trained on nearly 14,000 annotated images. The model identifies six key deterioration features: potholes, wheel ruts, gullies, washboards, stones, and vegetation. These detections are used to locate maintenance-relevant features and classify road segments into three deterioration levels based on coverage thresholds, which are then visualized through a traffic-light system. A case study on a forest road in southern Norway demonstrated the system’s ability to detect and classify maintenance needs. While performance was strong for more uniform features such as vegetation, irregular structures like wheel ruts proved more challenging, occasionally leading to misclassification of actual maintenance requirements. Nevertheless, the findings confirm the technical feasibility of integrating object detection models into data-driven forest road maintenance scheduling. Future improvements will require larger and more diverse training datasets, as well as classification frameworks tailored to local conditions and specific road-user needs.309671