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
Sammendrag
Soil disturbance following forestry operations is influenced by multiple factors. Reducing disturbance requires placing strip and base roads in locations with minimal risk of disturbance. However, identifying these areas is a complex task. To address this, we have begun developing a forwarding risk index ranging from 1 to 100 that integrates several geographical information sources in the area around Oslo. This forwarding index seems to provide good estimates of areas with a higher risk of ground disturbance during forwarding operations at the sites used for development. With further development of geographical inputs, their combination into a risk index, and later on nationwide validation, the forwarding risk raster combined with a terrain map could improve the identification of suitable areas for forwarding trails. The risk raster was tested for path planning and performed well in areas with a low to moderate frequency of high-risk pixels but was less effective in areas with a high concentration of high-risk pixels. In these areas, an assessment of the potential ecological impact (erosion, sedimentation of streams, mobilisation of mercury, soil carbon impact, changes in hydrology, soil compaction) of ground disturbance is needed alongside the risk index to determine the least unsuitable trail locations.
Sammendrag
No abstract has been registered
Forfattere
Cormier, Caitlin Marie Favero, GiacomoSammendrag
Food self-sufficiency and local food production are increasingly important in the context of global supply chain uncertainty. In Northern Norway, sustaining agricultural activity is central to national food preparedness, yet vegetable production in Arctic municipalities remains limited. In this study, we examine how vegetable production can be enhanced in Nordreisa municipality by exploring barriers, opportunities, and stakeholder perspectives. Using a qualitative single-case study design, we investigate local realities that shape the current lack of vegetable production through semi-structure interviews with diverse stakeholders across the regional food system and a local interest in vegetable production survey. We found that systemic barriers such as limited infrastructure, fragmented markets, and governance gaps constrain immediate growth. At the same time, motivated producers, consumer interest in local food, and a shared desire for self-sufficiency indicate a latent potential for development. This study suggests that increasing local vegetable production requires a dual approach: grassroots initiatives that mobilize local actors and supportive governance that enables implementation. Practical measures include the establishment of local storage and distribution facility, fostering collaboration between producers and consumers, and aligning municipal and national policies with local capacities. Through the enhancement of social networks and institutional support, municipalities like Nordreisa can take concrete steps towards strengthened local vegetable production.
Forfattere
Michael A. H. Bekken Astrid Vatne Poul Larsen Andreas Ibrom Klaus Steenberg Larsen Bo Elberling Kristoffer Aalstad Sebastian Westermann Jacqueline K. Knutson Lena M. Tallaksen Peter Dörsch Peter Horvath Anders Bryn Norbert PirkSammendrag
A controlled peatland rewetting experiment was conducted on two adjacent drained peatland sites in southeastern Norway. Eddy covariance monitoring of CO 2 and CH 4 fluxes at both sites began in 2019. In 2021, the Treatment Site was rewetted while the Control Site remained drained. Using nine environmental variables and the processed flux data as training data, Bayesian Additive Regression Tree (BART) models were used to generate annual flux balances for CO 2 and CH 4 . The 4-year mean annual flux at the Control Site was 17.3 ± 10 g CO 2 -C m − 2 yr − 1 and 4.6 ± 0.1 g CH 4 -C m − 2 yr − 1 . At the Treatment Site, the 2-year mean annual flux before the rewetting was 12.2 ± 3.8 g CO 2 -C m − 2 yr − 1 and 1.8 ± 0.04 g CH 4 -C m − 2 yr − 1 . In the first year after rewetting the annual flux was 53.3 ± 13 g CO 2 -C m − 2 yr − 1 and 3.8 ± 0.3 g CH 4 -C m − 2 yr − 1 , and in the second year after rewetting the annual flux was 41.2 ± 18 g CO 2 -C m − 2 yr − 1 and 3.4 ± 0.4 g CH 4 -C m − 2 yr − 1 . BART counterfactual modeling was able to estimate the effect of the rewetting on CO 2 and CH 4 fluxes. Two years after the rewetting, the BART counterfactual modeling estimated that the cumulative fluxes had increased by 80.3 ± 49 g CO 2 -C m − 2 and 3.4 ± 0.47 g CH 4 -C m − 2 because of the rewetting. Carbon flux monitoring of both sites is ongoing as the Control Site remains drained and the soil and vegetation at the Treatment Site continues to adjust to the altered hydrological regime after rewetting.
Sammendrag
No abstract has been registered
Forfattere
Heidi Udnes AamotSammendrag
No abstract has been registered
Forfattere
Maria Åsnes Moan Stefano Puliti Rasmus Astrup Ole Martin Bollandsås Terje Gobakken Maciej Wielgosz Hans Ole Ørka Lennart NoordermeerSammendrag
The site index (SI) describes a site’s potential to produce wood volume. Accurate information on SI in young forests is essential for planning thinning operations and projecting future growth and yield. For tree species that form annual branch whorls, information on interwhorl distances along the stem may be used to determine the SI in young forests. Branch whorls, and consequently tree height growth trajectories, can be detected automatically using deep learning on very dense laser scanning data. In the current study, we demonstrate this approach in a case study in a young Norway spruce forest. We trained a pose estimation Convolutional Neural Network and detected branch whorls of 97 dominant trees in 54 plots scanned with mobile laser scanning data. We predicted SI determined from detected branch whorls in three different sections of each tree, selected in the stem height range between 2.5 and 8 m: all whorls, the lowest six whorls, and whorls selected with an automatic selection procedure. We compared the obtained SI to the SI determined from field-measured branch whorls. Obtained values of precision, recall, and F1 score for the branch whorl detection were 0.66, 0.58, and 0.62, respectively. Values of root mean square error and mean differences between reference and predicted SI ranged between 19.8%–20.9% and −3.6%–4.0%, respectively. Although the tested approach showed potential for SI determination in young forests, the obtained errors were large. This was due to detection errors and high sensitivity to small changes in height increment. These issues highlight the need for further research to improve branch whorl detection accuracy and address challenges associated with determining the SI in young forests.
Forfattere
Jingwei Li Min-Rui Wang Zhibo Hamborg Dag-Ragnar Blystad Gayle Volk Jean Carlos Bettoni QiaoChun WangSammendrag
Rapid population growth poses a major challenge to global food security. Promoting sustainable agricultural production is necessary to ensure the global food security. Horticultural plants are a high-valued part in agricultural production. Virus and viroid diseases have long been a key factor limiting the horticultural production. Cultivation and distribution of pathogen-free plants is currently the most efficient practice for managing virus and viroid diseases, and their spread in the landscape. Cryotherapy-based methods are recently developed novel biotechnologies for the efficient production of pathogen-free plants. This review outlines updated information on the development and advances in cryotherapy-based methods for efficiently eradicating viruses and viroids in horticultural plants. Mechanisms underlining cryotherapy-based methods for improved pathogen eradication are discussed, and suggestions for further studies are proposed.
Forfattere
Jiunn Luh Tan Igor Koloniuk Ondřej Lenz Jana Veselá Jaroslava Přibylová Rostislav Zemek Josef Špak Radek Čmejla Jiří Sedlák Dag-Ragnar Blystad Zhibo Hamborg Jana FránováSammendrag
Although global raspberries production has grown in the past decade, it remains threatened by plant viruses. This study surveyed raspberry viruses and associated arthropods in the Czech Republic between 2021 and 2022 across five regions. A total of 257 plant and 151 arthropod samples were tested using RT-(q)PCR for 12 viruses listed in the EPPO Certification scheme, plus raspberry leaf blotch virus (RLBV) and a novel virus, tentatively named raspberry-associated virus A (RaVA). Raspberry bushy dwarf virus (RBDV) was most prevalent (51.8%), followed by black raspberry necrosis virus (BRNV, 42.0%) and raspberry leaf mottle virus (RLMV, 28.4%). Four viruses—arabis mosaic virus, apple mosaic virus, strawberry latent ringspot virus, raspberry ringspot virus—were not detected. RBDV was also identified in Sambucus nigra, a new host, while mixed RLBV and RaVA infection was found in wild Rubus occidentalis. RLBV was experimentally transmitted to Nicotiana occidentalis 37B in the presence of Phyllocoptes gracilis. Seven of 39 arthropod species carried viruses, but only two—Amphorophora rubi idaei and Aphis idaei—are known vectors. PCR amplicons from 92 isolates were sequenced, revealing high variability in several viruses. These findings offer new insights but highlight the need for continued monitoring and research.
Forfattere
Marius Dobbe Klemetsen Marte Marie Fossum Ranvik Thomas Georges A Bawin Sigridur Dalmannsdottir Sangharsha Thapa El Houssaine Bouras Sylvain Poque Andrius Aleliūnas Rita Armoniene Egli Norkevičienė Kristiina Himanen Svante Resjö Qinlin Xiao Ameneh Khani Thomas G. Roitsch Erik Alexandersson Sajeevan R. SivarajanSammendrag
No abstract has been registered