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.
2026
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Phosphorus is a critical resource for agriculture, but standard soil tests often fail to measure the dynamic rate at which it becomes available to crops, often leading farmers to overuse fertilizer and increase pollution risks. While the advanced diffusive gradients in thin films technology is excellent at measuring this dynamic phosphorus supply in soil, it is expensive and labor-intensive. We set out to discover if a combination of common, low-cost analyses could predict how much phosphorus plants absorb just as effectively as the advanced technology. Our research confirmed that the advanced dynamic phosphorus measurement was the single best predictor of plant phosphorus uptake. However, our key finding was that combining three simple measurements: extractable phosphorus, extractable aluminum, and soil organic carbon, predicted plant uptake and crop yield with equal or slightly better accuracy. This proves that agricultural stakeholders can use these existing, affordable labor
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This article explains why and how the EU substantially increased the ambition and stringency of its Land Use, Land-Use Change and Forestry (LULUCF) regulation between 2018 and 2023. We show that the revised regulation transformed LULUCF from a separate accounting framework based on the no-debit rule into a core pillar of EU climate policy, with a binding EU-wide target of 310 Mt CO2e net removals by 2030, national targets and stronger compliance rules. Drawing on interviews, policy documents and legal texts, we argue that the European Commission acted as a climate policy entrepreneur, using technical expertise, impact assessments and agenda-setting authority to define feasible ambition and shape negotiations. However, forest-rich member states secured important adjustments to national targets, compliance rules, and flexibility arrangements. The findings highlight how issue complexity can expand Commission influence, while exposing implementation challenges linked to declining forest sinks and policy trade-offs.
Authors
Ingunn Øvsthus Mitja Martelanc Mats Carlehög Benedikt Tobias Grein Branka Mozetic Vodopivec Melita Sternad Lemut Guillaume Antalick Tatjana Rodovanovic VukajlovicAbstract
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Authors
Tomasz Leszek WoznickiAbstract
Presentation about growing media
Authors
Tomasz Leszek WoznickiAbstract
No abstract has been registered
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Fruit quality is a major determinant of commercial success in raspberry cultivars. Yet the established ways of measuring quality: chromatography and trained sensory panels, are slow, costly and, for sensory work, variable. Raman spectroscopy is a rapid, reagent-free alternative based directly on molecular vibrations, and is now available in handheld form. Nine raspberry cultivars and two breeding selections were grown in an open polytunnel at NIBIO Apelsvoll, Norway, in 2023, and berries were sampled early and a late in the harvest season. Spectra were recorded with an 830 nm handheld instrument from intact berries and from pressed, centrifuged juice and related to HPLC analyses and sensory panel taste scores. Empirical multivariate models based on partial least squares regression, applied to pre-processed spectra of raspberry juice samples, showed promising potential for estimating total sugars (R2cv = 0.96, RMSECV = 3.4 g L-1), the sugar/acid ratio (R2cv = 0.96) and citric acid (R2cv = 0.94), and moderate potential for the sensory taste score (R2cv = 0.55 on a 1-9 scale). Regression coefficients and VIP scores placed the models on sugar bands near 1065, 1085 and 1128 cm-1 and on citrate bands near 940 and 1720 cm-1, matching published assignments. A calibration-free two-band ratio, I(1115-1145)/I(925-960), tracked the sugar/acid ratio almost as well as the full model (r = 0.945). Measurements of intact berries could not be used for estimating any property (R2cv <= 0.36); the relative standard error of the sugar band was 7.0-9.3% per scan against 1.9% for juice, identifying drupelet heterogeneity rather than absent signal as the obstacle. Handheld Raman spectroscopy shows promising potential as a rapid screening tool for extracted raspberry juice, however for measurement of the intact fruit further method development is needed.
Abstract
Electrical Resistivity Tomography (ERT) is widely used to characterize subsurface structures and to monitor dynamic processes through time-lapse measurements. Its multiscale applicability has enabled laboratory investigations of solute and gas transport in rocks and sediments, as well as field-scale imaging of landfill interiors based on contrasts in moisture content and waste composition. Landfill gas production, primarily CO₂ and CH₄ generated by organic waste degradation, remains difficult to monitor using ERT due to the highly heterogeneous and dynamic nature of waste bodies. To address this challenge, we built a small-scale cylindrical laboratory column, equipped with 64 electrodes to systematically investigate the sensitivity of ERT to gas presence and migration in waste. The experimental setup allows independent control of key parameters including waste grain size, chemistry, saturation, gas volume, flow velocity, and gas composition. This contribution presents the first stage of the project, focusing on the design, optimization, and validation of the ERT column. Using a combination of forward modeling and preliminary laboratory measurements, we assess the system’s spatial resolution, sensitivity distribution, and error sources related to both data acquisition and inversion. The results highlight the importance of pre-optimizing laboratory ERT configurations and provide practical guidelines for the design of similar experimental systems, a step that is often only briefly documented in previous studies.
Authors
Marjana Westergren Kathrin Streit Marcela van Loo Ricardo Alía Santiago C. González-Martínez Marta Benito-Garzón Francisco J. Lario Leza José M. Climent Maldonado Georgeta Mihai Tor MykingAbstract
Abstract Key message Maintaining forest resilience under climate change depends on understanding genetic adaptation and preserving diversity. Long-term common garden networks are essential for revealing how species and populations perform across life stages and environments. When strategically designed and deployed across diverse sites, including suboptimal ones, these networks provide critical empirical insights into adaptive capacity of forest tree species under future climate conditions.