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
Authors
Özgün Candan Onarman UmuAbstract
No abstract has been registered
Authors
Jerca Praprotnik Kastelic Primož Banovec Ajda Cilenšek Rozalija Cvejić Csilla Farkas Dominika Krzeminska Ingrid Nesheim Michael Strauch Julia Szulecka Mateja Škerjanec Martin Volk Felix Witing Matjaž GlavanAbstract
HIGHLIGHTS 1) Local stakeholder involvement increases the relevance, accuracy, and legitimacy of NSWRM modelling. 2) Standardised NSWRM documentation in WOCAT enhances knowledge sharing and cross-case comparison. 3) Reliable NSWRM assessment is feasible in data-scarce catchments using open data and empirical models. 4 ) Spatially targeted NSWRM combinations outperform single measures and mitigate climate impacts. 5) Agricultural policy favours land and partly the structural linear measure, limiting transformative structural area and hydro morphological interventions.
Authors
Csilla Farkas Moritz Shore Agota Horel Agota Horel Gökhan Cüceloglu Dorota Mirosław-Świątek Maria Eliza TurekAbstract
Within the OPTAIN project, the effects of Natural/Small Water Retention Measures (NSWRMs) on water regime, soil erosion and nutrient transport are evaluated at both catchment- and field-scales for present and future climate conditions. The goal of this deliverable report D4.3 is to perform an integrated, model-based assessment of the effectiveness of NSWRMs at the field scale and to use these results for cross-validating the outputs obtained from the catchment-scale modelling. The assessment is based on the adaptation of a field-scale mathematical model (SWAP) to seven pilot sites across three European biogeographical regions and on combined analyses of NSWRM and projected climate scenarios. The scenarios are designed to evaluate the efficiency and potential of different NSWRMs in improving soil water retention and reducing flash floods and the loss of soil and nutrients under changing climate conditions. This report contains a detailed description of the SWAP modelling workflow, from input data preparation, model setup and harmonisation, model calibration and application in climate and NSWRM scenario runs. It presents calibration and NSWRM scenario results from seven OPTAIN case studies from three different biogeographical regions (Boreal, Continental and Pannonia). The report also describes i) the new approaches and tools developed within the OPTAIN project that facilitate the implementation of the scenarios and the interpretation of the modelling results, ii) the methods used to cross-validate the SWAP and SWAT+ models, and iii) the issues faced during the implementation of this work. The SWAP model was calibrated for all the pilot fields with good or satisfactory results. The impact of four in-field NSWRMs - reduced tillage, shifting to grassland, afforestation and drought tolerant crops - on the water balance elements was evaluated. The scenario results indicate that the effects of measures on soil water retention and other water balance elements have some regional pattern, but can be strongly dependent on local conditions (e.g. soil, crop, slope). According to the scenario results, for most of the cases the studied NSWRMs contributed to reducing evaporation, surface and subsurface runoff and percolation to deeper layers, which results in increased soil water retention or plant water uptake within the fields. The cross-validation of the field scale SWAP and catchment-scale SWAT+ models was a challenging task and could only be performed for selected water balance elements (evaporation, transpiration and drainage outflow). Comparable results were obtained in most of the cases for the baseline scenario, but the differences between the soil water balance elements simulated by the two models increased when implementing the different measures. The increased differences, however, could also reflect the differences in measure implementation, as these were constrained by the model’s structure and parameters. We concluded that the implementation of the SWAP field-scale model in the scenario analysis and cross-validation could positively contribute to i) better understanding the effects of NSWRMs at field level and ii) evaluating the outputs of the SWAP and SWAT+ models in a wider context. We concluded that NSWRMs can contribute to water retention within the landscape, and that this effect seems to decrease and increase in the future for measures related to management and land use change, respectively. The cross-validation of the water balance elements of the two models showed that the SWAP and SWAT+ simulation results were comparable for the status quo (present situation, for which the models have OPTAIN D4.3 Assessment of NSWRM effectiveness at field scale 6 / 143 been calibrated), but differed for the NSWRMs scenarios, depending on how the measures were implemented in the two models.
Authors
Simon BergAbstract
No abstract has been registered
Authors
Simon BergAbstract
No abstract has been registered
Abstract
The year-to-year variation in the availability of lingonberries (Vaccinium vitis-idaea L.) is a challenge for commercial exploitation. There is also a need to identify the best locations for lingonberry harvesting. Here, we present research that utilized field observations from the Norwegian National Forest Inventory to model and map the association between lingonberry cover and stand characteristics. Additionally, a set of permanent sampling plots were established for annual recording of berry yields in different Norwegian regions, representing variations in slope and forest characteristics. Ultimately, the recorded information on yield from the temporary sample plots were combined with predictions from the cover model, as well as data from remote sensing and climatic data from nearby weather stations (for locations see Figure 1a) to derive: 1) a model for lingonberry yield, and 2) and a yield map covering all forest land in Norway. Variables included in the final berry yield model are main tree species, soil parent material, mean temperature June-August, stand basal area, latitude, slope and distance to coastline (Miina et al., 2024).
Authors
Holger LangeAbstract
Oversikt over ICOS tårnet på Hurdal samt siste resultater fra i år
Authors
Erik Larnøy Andreas Treu Manon Diraison Mathias Smith Anaël Audouin Peer Thorben Lewandowski Johan BiørnstadAbstract
No abstract has been registered
Abstract
Vi beskriver tilnærmingen hvordan man kan bruke dendrometer målinger pluss klimavariabler til å modellere transpirasjon i Hurdal skogen
Abstract
An update on the carbon gains and losses at Hurdal