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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.

2025

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VKM has assessed the environmental and health risks associated with the use of the mites Acarus siro and Suidasia pontifica as feed for various predatory insects and mites. Background POWERFOOD 3.0 is used as feed for various predatory mites and predatory insects. Acarus siro, Suidasia pontifica, and Carpoglyphus lactis constitute the product. Carpoglyphus lactis has previously been assessed by VKM. VKM has now prepared an environmental and health risk assessment of A. siro and S. pontifica. Conclusions Acarus siro occurs naturally in Norway, and new introductions will most likely be able to establish and spread in Norway. Suidasia pontifica, on the other hand, has never been recorded in the wild in Norway, and its tropical origin suggests that it will not establish and spread in Norway. No records of negative effects of A. siro and S. pontifica on biodiversity were found. Several studies report allergies to mites, including the species in the product POWERFOOD 3.0. The likelihood of developing mite allergies after handling the product is therefore high. However, the likelihood of allergic reactions following consumption of plants treated with the product appears to be low. Regarding taxonomic challenges that may affect the risk assessment, VKM found out that A. siro can be mistaken for A. farris and A. immobilis. These species differ only slightly in development and ecology. From the limited available knowledge about their biology, these three species are expected to have similar effects on biodiversity and human health. There are no known problems with species identification for Suidasia pontifica. The taxonomic issue with this species is that much of the literature uses an invalid name; S. medanensis. The risk assessment is approved by VKM's Panel on Plant Health.

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VKM has assessed the environmental and health risks associated with the use of the mite Lepidoglyphus destructor as feed. Background Anso-Mite Plus consists of the biological control agent Amblyseius andersoni and the feed organisms Carpoglyphus lactis and Lepidoglyphus destructor. Amblyseius andersoni and C. lactis have previously been assessed by VKM. VKM has now assessed the environmental and health risks of L. destructor. Conclusions Lepidoglyphus destructor has been found in homes, agricultural environments, and stored products in Norway. The species is well established in Norway, and introduced individuals are expected to be able to establish and spread. Lepidoglyphus destructor is widespread and common in Norway, and it seems unlikely that further introductions via Anso-Mite Plus will have any additional effects on biodiversity. Several studies report allergies to mites, including to L. destructor. The likelihood of developing mite allergies after handling the product is therefore high. However, the likelihood of allergic reactions after consuming plants treated with the product appears to be low. Lepidoglyphus is not a species-rich genus, and there is no documentation suggesting that L. destructor can be confused with other species. The risk assessment is approved by VKM's Panel on Plant Health.

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VKM has assessed possible health hazards associated with the use of frozen eggs of Sitotroga cerealella as feed. Background The plant protection products CHRYSObio and CHRYSOcontrol contain Chrysoperla carnea and frozen eggs of Sitotroga cerealella. The eggs are used as feed for the larvae of C. carnea, the beneficial organism in the products. VKM has previously assessed environmental and health risks associated with C. carnea. Since the eggs of S. cerealella are frozen (dead), VKM has now assessed only human health hazard associated with the eggs in the products CHRYSObio and CHRYSOcontrol. Conclusion Insect eggs, frozen or not, can carry pathogens that may be harmful to humans. Freezing can kill some of these pathogens, but some hardy pathogens can survive low temperatures. Some people are allergic to insect proteins, and freezing does not eliminate such proteins. However, VKM found no reports identifying eggs of S. cerealella neither as carriers of pathogens nor as a cause of allergies in humans. The risk assessment is approved by VKM's Panel on Plant Health.

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The Norwegian Scientific Committee for Food and Environment (VKM) has assessed an application for approval of the genetically modified maize DAS1131 for food and feed uses, import and processing in the EU. In accordance with an assignment specified by the Norwegian Food Safety Authority (NFSA) and the Norwegian Environment Agency (NEA), VKM assesses whether genetically modified organisms (GMOs) intended for the European market can pose risks to human or animal health, or the environment in Norway. VKM assesses the scientific documentation regarding GMO applications seeking approval for use of GMOs as food and feed, processing, or cultivation. The EU Regulation 1829/2003/EC (Regulation) covers living GMOs that fall under the Norwegian Gene Technology Act, as well as processed food and feed from GMOs (dead material) that fall under the Norwegian Food Act. The regulation is currently not part of the EEA agreement or implemented in Norwegian law. Norway conducts its own assessments of GMO applications in preparation for the possible implementation of the Regulation. In accordance with the assignment by NFSA and NEA, VKM assesses GMO applications during scientific hearings initiated by the European Food Safety Authority (EFSA), as well as after EFSA has published its own risk assessment of a GMO, up until EU member countries vote for or against approval in the EU Commission. The assignment is divided into three stages. (link) Genetically modified maize DAS1131 DAS1131 is a genetically modified maize developed by Agrobacterium tumefaciens -mediated transformation. Maize DAS1131 plants contain the transgenes cry1Da2 and dgt-28 epsps which encode the protein Cry1Da2 and the enzyme DGT-28 EPSPS, respectively. Cry1Da2 provides resistance to certain susceptible Lepidopteran (order of butterflies and moths) pests and the enzyme DGT-28 EPSPS provides tolerance to glyphosate-based herbicides. VKM has assessed the documentation in application GMFF-2021-1530 and EFSA's scientific opinion on genetically modified maize DAS1131. VKM concludes that the applicant's scientific documentation for the genetically modified maize DAS1131 is satisfactory for risk assessment, and in accordance with EFSA guidelines for risk assessment of genetically modified plants for food or feed uses. The genetic modifications in maize DAS1131do not indicate an increased health or environmental risk in Norway compared with EU countries. EFSA's risk assessment is therefore sufficient also for Norwegian conditions. As no specific Norwegian conditions have been identified regarding properties of the genetically modified maize DAS1131, VKM's GMO panel has not performed a complete risk assessment of the maize. About the assignment: In stage 1, VKM shall assess the health and environmental risks of the genetically modified organism and derived products in connection with the EFSA scientific hearing of GMO applications. VKM shall review the scientific documentation that the applicant has submitted and possibly provide comments to EFSA. VKM must also consider: i) whether there are specific Norwegian conditions that could give other risks in Norway than those mentioned in the application, ii) whether the Norwegian diet presents a different health risk for the Norwegian population should the GMO be approved, compared to the European population, and iii) risks associated with co-existence with conventional and/or ecologic production of plants for GMOs seeking approval for cultivation. Relevant measures to ensure co-existence must also be considered. In stage 2, VKM shall assess whether comments from Norway have been satisfactorily answered by EFSA. In addition, VKM shall assess whether comments from other countries imply need for further follow-up. (...)

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Rapidly maturing frameworks for investing in and committing to mitigation of climate change through forest management have focused almost exclusively on the benefits of carbon sequestration, without accounting for collateral changes in geophysical factors such as surface albedo. Newly available 30 m albedo retrievals derived from imagery acquired by the Landsat 8 satellite, analyzed at 273 652 field plots monitored by the United States Forest Service, suggest that large areas of the US Inter-Mountain West’s forests have a net warming impact on the planet’s surface energy balance. For the conterminous US, the impacts of albedo offset approximately half of the recognized non-soil forest carbon storage benefit. The emerging capacity to resolve albedo evolution at the scale of a large number of inventory plots also provides unprecedented empirical evidence that albedo impacts vary strongly as a function of both tree age and species group. This research highlights a correctable source of uncertainty in operational monitoring of forest-climate interactions, and it may temper expectations for forest establishment as a means of mitigating global climate change.

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Accurately predicting whether pedestrians will cross in front of an autonomous vehicle is essential for ensuring safe and comfortable maneuvers. However, developing models for this task remains challenging due to the limited availability of diverse datasets containing both crossing (C) and non-crossing (NC) scenarios. Therefore, we propose a procedure that leverages synthetic videos with C/NC labels and an untrained model whose architecture is designed for C/NC prediction to automatically produce C/NC labels for a set of real-world videos. Thus, this procedure performs a synth-to-real unsupervised domain adaptation for C/NC prediction, so we term it S2R-UDA-CP. To assess the effectiveness of S2R-UDA-CP in self-labeling, we utilize two state-of-the-art models, PedGNN and ST-CrossingPose, and we rely on the publicly-available PedSynth dataset, which consists of synthetic videos with C/NC labels. Notably, once the real-world videos are self-labeled, they can be used to train models different from those used in S2R-UDA-CP. These models are designed to operate onboard a vehicle, whereas S2R-UDA-CP is an offline procedure. To evaluate the quality of the C/NC labels generated by S2R-UDA-CP, we also employ PedGraph+ (another literature referent) as it is not used in S2R-UDA-CP. Overall, the results show that training models to predict C/NC using videos labeled by S2R-UDA-CP achieves performance even better than models trained on human-labeled data. Our study also highlights different discrepancies between automatic and human labeling. To the best of our knowledge, this is the first study to evaluate synth-to-real self-labeling for C/NC prediction.

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Forest biodiversity is a multifaceted term encompassing tree and shrub diversity and the diversity of other life forms such as animals or fungi. Extensive forest monitoring networks such as National Forest Inventories or the International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forest plots have implemented biodiversity-monitoring protocols to satisfy increasing information demands. However, these protocols often evaluate biodiversity through potential biodiversity indicators (e.g., stand structure and deadwood), which may not provide sufficient information on other aspects of the current forest biodiversity status. In this study, we present the forest biodiversity monitoring results and lessons from a cross-country study to support large-scale monitoring systems. We developed, evaluated, and discussed harmonized protocols, mainly focused on birds and mammals, which extend beyond the traditional features captured in large-scale forest inventories. We leverage information from 30 intensively monitored plots established in six European countries to achieve these goals. The protocols were helpful in recording data that could be used to reproduce biodiversity-related attributes such as measures of forest structure, regeneration, deadwood features, and bird and mammal diversity. Specifically, field data on trees was used to describe structural features of forests such as stand composition and forest complexity. In contrast, composition and regeneration data provided helpful information for other biodiversity indicators. Data gathering to monitor bird and mammal diversity requires revisiting the plots, which involves greater economic investment and human effort. Once the bird and mammal data have been collected, advanced algorithms could facilitate and enhance the efficiency of the analyses. To optimize the monitoring efficiency, we recommend including these two new biodiversity assessments in a subset of extensive survey plots. Furthermore, using standard guidelines for these new assessments across all countries would facilitate the comparison and reporting of statistical data.