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
Authors
Ingunn Øvsthus T. Radovanović Vukajlović M. Martelanc G. Antalick L. Butinar A. Hermes B.T. Grein Mats Carlehög B. Mozetič VodopivecAbstract
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Extreme climate events are increasingly impacting Central European forests. The 2018 drought and heat wave intensified tree mortality and bark beetle outbreaks. We examined how these disturbances altered water, organic-matter (OM), and nutrient fluxes in mixed beech (Fagus sylvatica)–maple (Acer pseudoplatanus) forests and Norway-spruce (Picea abies) stands on shallow, calcareous soils in central Germany. From 2018–2020 we collected bi-weekly samples of throughfall, stemflow, and free-draining lysimeter samples from different soil depths. The samples were analysed for pH, electrical conductivity (EC), dissolved and particulate organic carbon (DOC; POC), total dissolved nitrogen (DN), and nutrients. Linear mixed-effects models revealed strong species responses: mixed beech-maple exported more DN and calcium to deeper soil layers than spruce stands, whereas spruce had significantly higher DOC fluxes at all depths. Radiocarbon signatures indicated that spruce DOC is dominated by recent carbon inputs, while beech/maple DOC incorporates older, previously more stabilized OM. Drought-induced premature leaf fall, subsequent re-wetting events, bark-beetle infestation, and canopy opening contributed to amplify export of OM and nutrients to deeper soil horizons. Bark-beetle infestation of spruce stands mobilized phosphorus from the organic layer. Tree species, the post-drought monitoring phase, and soil depth together explained more than 65% of the variance in water, DOC, DN, Ca, pH, and EC fluxes, confirming that species-specific controls dominate post-drought biogeochemical dynamics. These findings underscore the vulnerability of common Central European forests to the combined pressures of drought and biotic stressors and highlight the importance of incorporating species-specific considerations into forest management adaptations.
Abstract
Spatially explicit information on forest resources and structure is essential for sustainable forest management and evidence-based policy-making. In the Nordic region, large-scale forest mapping often relies on integrating National Forest Inventory (NFI) field plots with airborne laser scanning (ALS) data. However, infrequent nationwide ALS campaign coverage limits their use for continuous monitoring. Satellite imagery, with its high temporal and spatial resolution, provides a promising alternative. We evaluate UNet-based deep learning models trained on wall-to-wall ALS-derived forest resource maps for predicting volume and Lorey’s height in Norway using optical (Sentinel-2) and SAR (Sentinel-1, PALSAR-2) data. The UNet models, trained on both Finnish and Norwegian ALS maps, are benchmarked against extreme gradient boosting (XGB) models. Transfer learning is further explored by finetuning models using Norwegian NFI plots. Model accuracies are assessed using 541 reserved test NFI plots and 44 independent forest stands, representing high‑volume mature boreal forests (>200 m3 ha−1). The UNet model trained on Norwegian ALS‑based data achieved R2 values of 0.59 for both volume and Lorey’s height when evaluated on NFI plots, and 0.70 and 0.59 for forest stands, respectively, outperforming the XGB models. Finetuning improved model transferability, yielding gains of up to 0.13 in R2 for volume and 0.46 for Lorey’s height when adapting the Finnish model to Norwegian conditions. Utilizing SAR data alongside optical data enhanced model accuracy. Overall, our findings demonstrate the potential of UNet models trained on wall-to-wall ALS maps for forest resource mapping across Nordic countries.
Abstract
Non-destructive and rapid analysis of adhesive penetration in engineered wood products ensures bond integrity, enabling the development of novel adhesives and quality manufacturing. The present study evaluated the X-ray densitometry method for studying the adhesive penetration in birch plywood. In this approach, it was quantified as a function of distance by measuring the X-ray density profile section where the adhesive bond-line density was above the baseline wood density. Accordingly, untreated and esterified birch veneers were pressed into plywood using both liquid and solid-type phenolic adhesives, resulting in four types of five-layered plywood of 7-8 mm in thickness. Optimization of X-ray beam attenuation through the plywood was done by preliminary trials and identified the specimen dimensions as 50 mm in height and 25 mm in width using a scanning speed of 0.5 mm min $$^{-1}$$ . The X-ray densitometry measured densities of cured phenolic adhesive to be 1150 ± 50 kg m $$^{-3}$$ and esterification-modified birch plywood to be 750 ± 25 kg m $$^{-3}$$ . These density values are consistent with gravimetric density measurements. Density profile observations indicate that both liquid and solid forms of phenolic adhesives exhibited similar levels of adhesive penetration in plywood. X-ray densitometry analysis determined a total interphase thickness ranging from 0.50 to 0.75 mm, encompassing the central adhesive bond-line and the effective adhesive penetration into both adjacent veneers. These values are comparable with those measurements obtained from microscopy imaging analysis. Therefore, X-ray densitometry could be a swift method for quantifying adhesive penetration, although further studies are needed to validate its accuracy and reliability.
Abstract
Greenhouse cultivation can help meet food demand in a growing and increasingly urbanised population. Reliance on fossil-fuel heating and natural ventilation often makes conventional greenhouses energy- and carbon-inefficient. Closed greenhouses address these limitations through resource recycling and energy recovery. While a centralised environmental control system (ECS) integrating climate control and heat harvesting has shown potential to improve greenhouse crop performance at high latitudes, its year-round energy use and energy-related carbon footprint reduction potential remains insufficiently quantified. This study extends an existing dynamic greenhouse climate model to incorporate a novel centralised ECS integrating air recirculation, heating, cooling, and heat harvesting in (semi-)closed greenhouses. The model was validated using experimental data from Norway, reproducing temperature and relative humidity with RMSEs of 1.40–1.63 °C and 7.60–8.55%, respectively. Energy use and tomato yield were predicted with relative errors of 3.8–8.4% and 1.6–4.2%, respectively. Scenario simulations under Norwegian conditions showed that (semi-)closed greenhouses with heat harvesting can reduce fossil fuel use by over 80% while increasing tomato yields by 15–41% relative to open greenhouses, driven by changes in CO2 concentration and temperature following reduced ventilation and heat recovery. The performance of a fully closed greenhouse relying solely on on-site cold storage is constrained by cooling capacity and buffer size, particularly during summer; adding a supplemental cold energy source such as surface water can improve its performance. Despite heat harvesting, a residual boiler heating demand of 3–10% remains. Further gains in energy efficiency and crop performance may be achieved through optimised climate control.
Authors
Ishita Ahuja Arne Steffenrem Irena Fundova Helmer Belbo Torstein Myhre Inger Sundheim FløistadAbstract
When regenerating clearcut areas in Norway and several other countries, tree seedlings are planted adjacent to stumps of harvested trees to reduce snow load and provide shading, despite limited scientific evidence supporting this practice. This study investigated the role of tree-stumps as planting microsites in the establishment of Norway spruce (Picea abies (L.) Karst.) seedlings. We assessed the growth and survival of seedlings from two provenances: Undesløs seed orchard (60.7°, 140 m), consisting of tested parents from the lowland around 63–65°N, and seed collected from forests in the M4 provenance (64–65°N, 350–449 m), at two microsite types in Trøndelag County, Norway: beside stumps (Microsites-B) and at a distance from stumps (Microsites-D). Undesløs seedlings exhibited 100% survival at Microsites-B, whereas M4 seedlings showed higher survival at Microsites-D. Provenance had a significant effect on seedling height and diameter, while microsite type had no significant effect on these parameters. In 2022, significant differences in height and diameter were observed between provenances at Microsites-B. Phenotypic variations, including chlorotic, green, and brown needles, occurred in seedlings of both provenances across both microsite types. Overall, this single-site experiment provided no evidence that planting beside stumps improves growth/survival compared with planting at a distance away.
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Authors
Lampros LamprinakisAbstract
No abstract has been registered