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.
2024
Forfattere
Erik J. JonerSammendrag
Det er ikke registrert sammendrag
Forfattere
Pia Heltoft ThomsenSammendrag
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Forfattere
Henrik Forsberg MathiesenSammendrag
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Forfattere
Thomas Pabst Attila Nemes Andreas Olaus Harstad Ann-Cathrin Stridal Marie Wagner Gudny OkkenhaugSammendrag
Det er ikke registrert sammendrag
Forfattere
Kate L. Wootton F. Guillaume Blanchet Andrew Liston Tommi Nyman Laura G. A. Riggi Jens-Peter Kopelke Tomas Roslin Dominique GravelSammendrag
Who interacts with whom is a key question in community and network ecology. The concept that these interactions may be driven by a match between the traits of consumer and resource species is known as trait-matching. If trait-matching would allow for general predictions of interaction structure based on sufficiently few and easily-measurable traits, then this approach could replace the laborious description of each individual pairwise interaction. To resolve imprints of trait-matching in a species-rich tri-trophic Salix–galler–parasitoid network, and to identify the most relevant traits, we applied five different methods, each approaching the same phenomenon from a different perspective. As traits, we used, body sizes, gall type (position on plant, structure of gall) and phenology, among others, as well as phylogenetic proxies. When jointly applied, the methods demonstrate distinctly different imprints of traits within the two bipartite network elements (Salix–galler versus galler–parasitoid interactions). Of the galler–parasitoid sub-network's interactions, approximately half were explainable by the species traits used; of the Salix–galler sub-network's interactions, traits explained at most two-fifths. Gall type appeared to be the most important structuring trait in both networks. Phylogeny explained as much, or more than did our tested traits, suggesting that traits may be conserved and phylogeny therefore an effective proxy. Overall, the more specialized structure of the Salix–galler network versus the more nested structure of the galler–parasitoid network meant that different methods were more effective at capturing interactions and interaction structure in the different sub-networks. Thus, our analysis reveals how structuring impacts may vary even between levels within the same multitrophic network, and calls for comparative analyses of trait matching across a wide set of systems and methods.
Sammendrag
Ruminants, including sheep, contribute significantly to methane emissions, thus resulting in high emissions per kg of product. However, they can utilise plant material unsuitable for human consumption, thereby transforming it into valuable, protein-rich food. Grazing also preserves cultural landscapes and can contribute to carbon sequestration. Under¬standing the balance between these factors within the climate change context is crucial. This study inves-tigates the environmental impact of meat, milk, and wool production from sheep farming in Norway and Slovenia.
Sammendrag
Ruminants, including sheep, significantly contribute to methane emissions, which results in high emissions per kg of product. Conversely, ruminants can utilise plant material unsuitable for human consumption, effectively converting it into valuable, protein-rich food. Grazing also maintains cultural landscapes and contributes to carbon sequestration. Therefore, under- standing the balance between these factors in the context of climate change is essential. This study analyses the environmental impact of meat, milk, and wool production from sheep farming in Norway and Slovenia.
Sammendrag
Fish counting is crucial in fish farming. Density map-based fish counting methods hold promise for fish counting in high-density scenarios; however, they suffer from ineffective ground truth density map generation. High labeling complexities and disturbance to fish growth during data collection are also challenging to mitigate. To address these issues, LDNet, a versatile network with attention implemented is introduced in this study. An imbalanced Optimal Transport (OT)-based loss function was used to effectively supervise density map generation. Additionally, an Image Manipulation-Based Data Augmentation (IMBDA) strategy was applied to simulate training data from diverse scenarios in fixed viewpoints in order to build a model that is robust to different environmental changes. Leveraging a limited number of training samples, our approach achieved notable performances with an 8.27 MAE, 9.97 RMSE, and 99.01% Accuracy on our self-curated Fish Count-824 dataset. Impressively, our method also demonstrated superior counting performances on both vehicle count datasets CARPK and PURPK+, and Penaeus_1k Penaeus Larvae dataset when only 5%–10% of the training data was used. These outcomes compellingly showcased our proposed approach with a wide applicability potential across various cases. This innovative approach can potentially contribute to aquaculture management and ecological preservation through counting fish accurately.
Sammendrag
Leptosol er jordsmonn som er svært grunnt eller som har et svært høyt innhold av grus eller stein. På slik jord er det ofte begrenset hvilke planter som kan dyrkes.
Forfattere
Johannes RahlfSammendrag
Det er ikke registrert sammendrag