Publikasjoner
NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.
2025
Sammendrag
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Sammendrag
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Sammendrag
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Sammendrag
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Forfattere
Kristiina Matilda Maria Visakorpi Zafar A. Reshi Oriol Grau Anne Muola Anna Orczewska Koenraad Van Meerbeek Bente Jessen GraaeSammendrag
Invasive species are one of the greatest threats to biodiversity. However, our understanding of how these species persist and spread in novel environments remains limited. Specifically, the relative importance of species interactions versus environmental conditions and the role of rapid evolutionary adaptation are not fully understood. Here, we investigate the impact of these factors on the distribution of the invasive Himalayan balsam ( Impatiens glandulifera ). We examined whether the climatic niche of the species is pre-adapted to the environmental conditions in the introduced range through niche modeling. Field surveys were conducted to assess the importance of herbivory and competition, and greenhouse treatments were used to investigate local adaptation. We found that the species has not yet fully occupied the suitable climatic space in its introduced range in Europe. Our results suggest that the species may have experienced enemy release while also facing increased biotic pressure at the northern range edge. We identified adaptive differentiation in flowering time, which enhances reproductive success when plants grow in climates similar to their origin. Our results indicate that Himalayan balsam has rapidly adapted to differences in growing season length in its introduced range, with trait plasticity providing an adaptive advantage. Together, these findings suggest that the species may continue to spread across its introduced range in Europe.
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Sammendrag
Abstract Research on Sonchus arvensis L. is underrepresented despite its status as a widespread perennial arable weed in the Northern Hemisphere. This study investigates, based on a comparison of literature data and recent plant metric data, whether there are indications of a problematic expansion in Germany and identified two knowledge gaps. The recent plant metric data were taken between 2019–2024 at various sites in Germany, Norway, and Finland. We structured the results in subchapters along the life-stages of S. arvensis given in their headings: ‘Propagules in the soil’, ‘Plant establishment’, ‘Rosette growth’, ‘Plant height’, ‘Seed production’ and ‘Plant senescence’. In Germany, S. arvensis has a rosette diameter measuring 34–58 cm and a height of 40–98 cm, although a height of up to 220 cm has been recorded in 2024 in Germany. Rosette diameter and plant height data indicate at least no smaller sizes compared to studies and plant metric data from other countries. Notably, 142 seeds per head were counted in Germany, indicating a source for successful spatial spreading. We address two knowledge gaps related to the research question in the title. One regarding whether vegetative growth contributes to the spread of S. arvensis , and another concerning how its phenological development is influenced by temperature and photoperiod. In addition, we recommend monitoring the species biology and ecology on agricultural fields in Germany.
Sammendrag
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Forfattere
Brita Bye Taran Fæhn Lars Harald Gulbrandsen Kevin R. Kaushal Christian Wilhelm Mohr Gunnhild Søgaard Asbjørn Torvanger Jørgen Wettestad Knut ØistadSammendrag
Abstract Norway has positioned itself as a climate policy forerunner by aiming to reach net-zero emissions already by 2030. However, the net-zero ambition is not well-defined, not legally binding, nor substantiated by action plans. In a first, interdisciplinary, analysis we scrutinise the net-zero concept and discuss unilateral options. Second, we provide an economic analysis with a global computable model, SNOW, of the costs and macroeconomic impacts of various policy scenarios. It explores how the net-zero ambition interacts with other 2030 goals and quantifies the impacts of emphasising domestic abatement and carbon removal measures vs. paying for emission mitigation abroad. Finally, the 2030 results are revisited to assess how well they align with Norwegian and global climate targets for 2050. The main findings are that pursuing the net-zero ambition, on top of other binding 2030 goals Norway is already committed to, will increase costs by 25–100% depending on the use of domestic measures. On the margin, domestic measures are found to have only small, uncertain, and costly mitigation potential, thus, buying international carbon credits will be inevitable. Besides being significantly cheaper, carbon trading can have the potential benefits of developing the credit markets and the individual projects’ qualities. Even if domestic measures can play but a modest part in the net-zero strategy towards 2030, we identify several steps governments unilaterally can take today to expand abatement opportunities towards mid-century. We also find measures that seem cost-effective in pursuing 2030 goals but look less attractive against a global 2050 backdrop.
Forfattere
Komi Mensah Agboka Frank Thomas Ndjomatchoua Ritter Atoundem Guimapi Luca Rossini Abdelmutalab G. A. Azrag Quinto Juma Meltus Tobias Landmann Sunday Ekesi Elfatih M. Abdel‐RahmanSammendrag
ABSTRACT The multitasking lesser mealworm ( Alphitobius diaperinus ) is a special beetle known as a pest in poultry, a resource for waste degradation and an alternative for protein production. This study compares the predictive accuracy of correlative species distribution models (SDMs) with a risk index derived from a mechanistic model. The study derives the mechanistic‐based risk index from the ordinary differential equation that describes the population dynamics of A. diaperinus using the temperature‐dependent bio‐demographic rates, while the ensemble SDM is derived using well‐known algorithms such as maximum entropy, random forest and so forth. We finally propose a hybrid model combining both approaches using a weighted average approach. When overlaid on occurrence data, the predictive accuracy of the mechanistic model globally varied across temporal scales, with the highest performance observed in the October–December quarter (27% of occurrences were predicted correctly). The comparison across geographic regions model had the best performance in Asia (94.4% accuracy), outperforming the two scenario SDMs (78.3%). In contrast, the correlative ensemble SDM performed better in Europe (93%), where we have most of the data, but was very sensitive to data gaps, especially in Africa. Finally, the proposed hybrid model outperforms both individual models in the global scenario (86.5% accuracy). These findings highlight the strengths and limitations of both modelling approaches and provide critical insights to optimise pest management strategies, sustainable utilisation and ecological forecasting by refining SDM through the integration of biological realism and empirical data.