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
Bin Wang He Lyu Xueqian Zhang Mingkai Jiang Belinda E. Medlyn David Wårlind Jürgen Knauer Katrin Fleischer Daniel S. Goll Stefan Olin Xiaojuan Yang Lin Yu Sönke Zaehle Haicheng Zhang Kristian Schufft Kristine Y. Crous Yolima Carrillo Catriona A. Macdonald Ian C. Anderson Matthias M. Boer Mark Farrell Andrew Gherlenda Laura Castañeda-Gómez Shun Hasegawa Klaus Jarosch Paul Milham Raúl Ochoa-Hueso Varsha Pathare Johanna Pihlblad Juan Piñeiro Sally A. Power Peter B. Reich Markus Riegler David S. Ellsworth Benjamin SmithAbstract
The capacity of nutrient-limited forests to enhance carbon (C) sequestration under elevated CO 2 (eCO 2 ) remains a critical uncertainty in C cycle modeling. While existing evidence suggests that low phosphorus (P) bioavailability may constrain CO 2 fertilization effects on plant growth, the extent to which this limitation modulates ecosystem responses to eCO 2 in forests adapted to P-deficient soils remains poorly understood. Here, using eight P-enabled models, we simulated the magnitudes and mechanisms through which P bioavailability interacts with eCO 2 , emulating an ecosystem-scale P enrichment experiment at a P-limited Eucalyptus forest undergoing long-term Free-Air CO 2 Enrichment. While models predicted pronounced P effects on tree growth, P enrichment unexpectedly did not increase the CO 2 effects on tree growth and ecosystem C sequestration. Models prioritized either CO 2 -driven or P-driven growth, but rarely both. This tradeoff emerged due to model-specific assumptions on 1) partitioning of the extra P in soil labile versus nonlabile pools; 2) plant photosynthetic acclimation to P deficiency; 3) C and nutrient use strategies regulating plant size and allocation; and 4) microbial-driven soil decomposition processes. By generating divergent yet biologically plausible outcomes, these predictions establish critical testable hypotheses for empirical research and highlight multiple P-related pathways that may influence the future land C sink.
Authors
Emmanuel Tetteh Jumpah Habtamu Alem Bekele Hundie Kotu Selorm Ayeduvor Vladimír Verner Abdulai Adams Miroslava BavorováAbstract
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DNA methylation can change DNA properties, affecting chromatin accessibility, gene expression, and phenotypic variation. In clonal Norway spruce, warmer (WE) versus cooler (CE) embryogenic conditions produce phenotypically dif ferent trees. This climatic memory, induced during embryogenesis, remains stable in the resulting epitype trees, and the epigenetically altered timing of bud phenology persists between WE and CE epitypes even after decades under common garden conditions. We examined DNA methylation patterns in 14-year-old epitypes throughout the annual developmental cycle. Using targeted bisulfite sequencing, we screened for differential DNA methylation over a 3000 bp region in 2744 genes related to the epigenetic machinery, circadian clock, and phenology. Clustering DNA methylation differences in the CG context clearly separated epitype trees, confirming epigenetic mark differences. Differences in methylation of cytosines in all contexts were highly dynamic and varied markedly among annual developmental stages, suggesting the existence of circannual clocks affecting methylation levels in the studied genomic regions. Most stable methylation marks were identified in CG contexts, fewer in CHG and none in CHH contexts, consistent with differences in inheritance among methylation con texts. We identified stable CG and CHG methylation marks in the promoter regions of 30 specific genes. Two ARGONAUTE genes and 4 other genes exhibited stable marks across all time points for CE or WE, and putative embryo–adult transmission for some genes. These findings indicate that DNA methylation marks maintained in genomic regions throughout the annual cycle may contribute to an induced epigenetic memory established in embryos and later manifested as phenologically dif ferent epitype trees.
Authors
Junbin Zhao Mounir Takriti Per-Erik Jansson Ed Jones Mikhail Mastepanov Erling Fjelldal Cornelya Klutsch David Kniha Runar Kjær Simon Weldon Kjetil Fadnes Knut Bjørkelo Jonathan Rizzi Christian Wilhelm Mohr Gunnhild Søgaard Jagadeesh YeluripatiAbstract
Abstract Peatlands drained for agriculture and other uses release substantial carbon dioxide. Many countries estimate these emissions using the 2014 IPCC Tier 1 emission factors. Here we calibrated an ecosystem model with data from two cultivated peatland sites in Norway and simulate carbon dioxide emissions at 50 sites nationwide for 2001–2022. Model results showed that carbon dioxide emissions were strongly controlled by water table depth and aligned well with observations from other European peatlands of similar climate zones. Crucially, the Tier 1 emission factor matched our simulations only under very deep water tables (< –0.7 m), but overestimated emissions by 31–88% when water levels ranged from –0.7 m to –0.3 m. This indicates that Tier 1 methods may overstate emissions from cultivated peatlands in cool temperate and boreal regions, inflating estimates of mitigation potential. Tier 2 or 3 approaches can reduce uncertainty but require more field data.
Authors
Trygve S. Aamlid Sigridur Dalmannsdottir Kristoffer Herland Hellton Marit Jørgensen Ievina Sturite Carl Gunnar Fossdal Akhil Reddy Pashapu Mallikarjuna Rao Kovi Helga Amdahl Odd Arne RognliAbstract
No abstract has been registered
Abstract
Plant selection is critical for the performance and long-term functionality of NBS. However, selecting suitable species remains challenging due to factors such as the need to balance multiple performance criteria. This study addressed this gap by proposing a structured decision-making framework for roadside rain gardens (RGs) in cold climates, based on three objectives, thirteen criteria, and sixteen quantitative metrics scored on a 1–5 scale. The framework was tested on five plant species commonly used in RGs in Norway to demonstrate its application and assess data availability for the metrics. Results showed that the evaluated plant species exhibit different strengths across objectives: for instance, Bolboschoenus maritimus excelled in plant procurement and establishment support, while Iris pseudacorus scored highest in functions of interest. Consequently, a combination of high-performing species was recommended for RG vegetation design. While the framework was successfully applied, limited data for some metrics required assumptions, highlighting the need for more comprehensive species-specific databases. Given the critical role of plants in the success of NBS, it is recommended that the framework be integrated into official RG design guidelines, with criteria tailored to local conditions.
Authors
Tor MykingAbstract
Invitert foredrag UiB i forbindelse med tildeling av æresdoktorat til Paul Smith, BCGI
Authors
Michele Torresani Vítězslav Moudrý Christopher R. Hakkenberg Vojtěch Barták Duccio Rocchini Stefano Puliti Paweł Hawryło Krzysztof Stereńczak Alexander Cotrina-Sanchez Gabriele Giuseppe Antonio Satta Luca da Ros Patrick Kacic Roberto TognettiAbstract
Monitoring forests globally through the assessment of structural characteristics is indispensable in times of increasing disturbances and biodiversity loss. The recent development of a 1-meter resolution Global Canopy Height Map by Meta and the World Resources Institute (Meta/WRI CHM) offers new opportunities for large-scale forest structure analysis. However, its reliability for estimating key forest structural metrics in selected forest sites of the Italian Alps remains largely untested. In this study, we compared estimates of canopy cover, mean and maximum canopy height, tree count, and crown size computed from the Meta/WRI CHM with the corresponding metrics computed from airborne laser scanning (ALS)-based CHMs across five forested sites in Alpine ecosystems representing diverse forest structures, species compositions, and management practices. Our results show that the Meta/WRI CHM provides reliable estimates of canopy cover (R = 0.82–0.92, RMSE = 8%–15%) and, to some extent, mean canopy height (R = 0.69–0.85, RMSE = 2.2–2.9 m). However, it substantially underestimates maximum canopy height and fails to reliably estimate tree count, positions, and crown size, overestimating the number of trees by 200–750 per hectare. In addition, the quality of the evaluated metrics estimates varied with respect to topographic gradients (i.e., slope, aspect, and altitude). Our findings define clear application boundaries for the Meta/WRI CHM in Alpine forest environments: while the product can support stand-level estimates of canopy cover and mean canopy height, it remains unsuitable for estimating maximum canopy height and individual-tree-level metrics such as tree count, tree position, and crown size. Future efforts should focus on refining global CHMs to improve accuracy and expand their applicability for forest monitoring.