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.
2019
Abstract
No abstract has been registered
Abstract
Å bygge veksthus på tak i byer kan ha flere fordeler. Redusert avstand til forbrukere gir ferskere varer og mindre kostnader og forurensing forbundet med transport og lagring. Dette er spesielt viktig for byer som ligger langt fra der maten produseres. Veksthus i byer kan også gi den urbane befolkningen muligheten til å lære mer om hvordan mat dyrkes. Ved å bygge veksthus på tak istedenfor på bakken spares arealer som i stedet kan brukes til jordbruk, grøntområder eller andre typer boliger. Et veksthus på tak som er integrert med den øvrige bygningen, kan også utnytte varmen fra etasjene under, noe som vil være energibesparende.
Authors
Jamal Zaherpour Nick Mount Simon N. Gosling Rutger Dankers Stephanie Eisner Dieter Gerten Xingcai Liu Yoshimitsu Masaki Hannes Müller Schmied Qiuhong Tang Yoshihide WadaAbstract
This study presents a novel application of machine learning to deliver optimised, multi-model combinations (MMCs) of Global Hydrological Model (GHM) simulations. We exemplify the approach using runoff simulations from five GHMs across 40 large global catchments. The benchmarked, median performance gain of the MMC solutions is 45% compared to the best performing GHM and exceeds 100% when compared to the ensemble mean (EM). The performance gain offered by MMC suggests that future multi-model applications consider reporting MMCs, alongside the EM and intermodal range, to provide end-users of GHM ensembles with a better contextualised estimate of runoff. Importantly, the study highlights the difficulty of interpreting complex, non-linear MMC solutions in physical terms. This indicates that a pragmatic approach to future MMC studies based on machine learning methods is required, in which the allowable solution complexity is carefully constrained.
Abstract
No abstract has been registered
Authors
Jørgen Eilenberg Stephanie Saussure Ibtissem Ben Fekih Annette Bruun Jensen Ingeborg KlingenAbstract
Pandora neoaphidis and Entomophthora planchoniana are widespread and important specialist fungal pathogens of aphids in cereals (Sitobion avenae and Rhopalosiphum padi). The two aphid species share these pathogens and we compare factors influencing susceptibility and resistance. Among factors that may influence susceptibility and resistance are aphid behavior, conspecific versus heterospecific host, aphid morph, life cycle, and presence of protective endosymbionts. It seems that the conspecific host is more susceptible (less resistant) than the heterospecific host, and alates are more susceptible than apterae. We conceptualize the findings in a diagram showing possible transmission in field situations and we pinpoint where there are knowledge gaps.
Authors
Ralf RautenbergerAbstract
No abstract has been registered
Abstract
The aquatic microbiota is known to be an important factor in the sustainability of the natural water ecosystems. However, the microbial community also might include pathogens, which result in very serious waterborne diseases in humans and animals. Faecal pollution is the major cause of these diseases. Therefore, it is of immense importance to assess the potential impact of faecal pollution, originating from both anthropogenic and zoogenic sources, on the profile of microbial communities in natural water environments. To this end, the microbial taxonomic diversity of lotic ecosystems in different regions of Norway, representing urban and rural areas, exposed to various levels of faecal pollution, was investigated over the course of a 1-year period. The highest microbial diversity was found in rural water that was the least faecally polluted, while the lowest was found in urban water with the highest faecal contamination. The overall diversity of the aquatic microbial community was significantly reduced in severely polluted water. In addition, the community compositions diverged between waters where the dominant pollution sources were of anthropogenic or zoogenic origin. The results provide new insight into the understanding of how faecal water contamination, specifically that of different origins, influences the microbial diversity of natural waters.
Authors
Klaus MittenzweiAbstract
No abstract has been registered
Authors
Ivar PettersenAbstract
A grand societal challenge arises from an ageing population. Central governments respond by issuing an innovation imperative targeted at local municipalities as a major instrument to form a sustainable welfare sector policy. The presentation studies policies relating to one particular form of care innovation in the field of dementia care, in particular day care services provided by farmers – Farm Based Dementia Care – FBDC. The intention is to explore potential barriers to increased use of FBDC and the relevance of the current policy mix. Barriers are derived from innovation theory, theory of transaction costs, regulation and societal transformation. Observations from municipalities applying FBDC are used to understand the relevance of potential barriers. Relevant barriers are compared with the diversity of policies aiming to impact dementia care directly or indirectly, e.g. through general innovativeness at municipal level. Empirical observations are based on in-depth, semi-structured interviews with seven municipalities, complemented by contributions at workshops and previous analysis. When compared with the panel of policy measures and initiatives taken in order to make elderly care match future challenges from shifting demographics, we may identify strengths and weaknesses of policy aimed to manage the grand challenges arising from an ageing population.
Authors
James Fourqurean Sparkle Malone Edward Castaneda Sean Charles Carl Fitz Daniel Gann David Ho John Kominoski Christian Lopes Steven. F. Oberbauer Gregory Starr Christina Staudhammer Tiffany Troxler Bryce Van Dam Junbin ZhaoAbstract
No abstract has been registered