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.
2020
Forfattere
Lampros LamprinakisSammendrag
The term Circular Regulations (CR) is introduced to describe a broad regulatory framework, designed with a circular understanding of the economy. Central in this discussion is the transition towards bioeconomy, a term that is not always used consistently, and sometimes treated in the same way as circular economy (CE), although these terms are not necessarily equivalent. In this article we endorse a systemic interpretation of CE, where a continuum of approaches, extending from reusing/recycling/upcycling to refuse/rethink/reduce, gradually replace existing linear “end-of-life” concepts. CE is a key prerequisite for the bioeconomy shift, a transition that further builds on CE, where circular design and processes are further augmented with increased resource utilization and intensive applications of innovative science and technology. The prevailing regulatory arrangements in CE, however, remain either fragmented or largely based on pre-existing policies, drafted to address issues of the linear economy, thus presenting several limitations when dealing with the underlying paradigm shift: complex market relationships that go beyond the standard neoclassical model. CR adopts an encompassing approach to regulatory design; it is not meant to be a rigid set of rules, but rather a regulatory framework where institutions, market rules, and business practice explicitly account for environmental and socially responsible activities, while securing an enabling environment for innovation. CR directly reflects on CE, where bioeconomy growth is informed by science, enabled by technology, driven by business, and supported by relevant policies and institutional frameworks. The article presents a conceptual setting towards CR and a practical example for its development.
Sammendrag
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Sammendrag
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Forfattere
Sebastian Sippel Nicolai Meinshausen Erich M. Fischer Enikő Székely Reto KnuttiSammendrag
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Sammendrag
Land use and climate change can impact water quality in agricultural catchments. The objectives were to assess long-term monitoring data to quantify changes to the thermal growing season length, investigate farmer adaptations to this and examine these and other factors in relation to total nitrogen and nitrate water concentrations. Data (1991–2017) from seven small Norwegian agricultural catchments were analysed using Mann–Kendall Trend Tests, Pearson correlation and a linear mixed model. The growing season length increased significantly in four of seven catchments. In catchments with cereal production, the increased growing season length corresponded to a reduction in nitrogen concentrations, but there was no such relationship in grassland catchments. In one cereal catchment, a significant correlation was found between the start of sowing and start of the thermal growing season. Understanding the role of the growing season and other factors can provide additional insight into processes and land use choices taking place in agricultural catchments.
Forfattere
Frode Sundnes Marianne Karlsson Froukje Maria Platjouw Nicholas Clarke Øyvind Kaste Salar ValiniaSammendrag
While the role of forestry in mitigating climate change is increasingly subject to political commitment, other areas, such as water protection, may be at risk. In this study, we ask whether surface waters are sufficiently safeguarded in relation to the 2015 launch of a series of measures to intensify forest management for mitigation of climate change in Norway. First, we assess how impacts on water are accounted for in existing regulations for sustainable forestry. Secondly, we provide an overview of the impacts of forestry on water quality relevant to three support schemes: afforestation on new areas, increased stocking density in existing forests, and forest fertilisation. Lastly, we assess the uncertainties that exist with regard to surface waters in the implementation of these measures. We find that the safeguards in place are adequate to protect water resources at the point of initiation, but there is a large degree of uncertainty as to the long-term effect of these mitigation measures.
Sammendrag
BACKGROUND:The predicted and ongoing climate warming can have far-reaching effects on plant growth and life cycle. Therefore, there is need for simple and convenient methods for analysis and monitoring of consequences of the ongoing warming. OBJECTIVE:To demonstrate the usefulness of so-called climate-photothermographs for studying the consequences of the ongoing warming for production of berry crops. METHODS:Local photothermal climates can be expressed by so-called climate-photothermographs, which show the relationship between temperature and daylength for each month of the year in a rectangular coordinate diagram. When superimposing critical response curves for plant development processes on top of such a diagram, the limitations of the given climate for fulfilment of the processes can be readily assessed. RESULTS:Consequences of 2°C warming for critical development processes such as transition to flowering and breaking of winter dormancy in the berry crops raspberry, black currant and strawberry were clearly exposed by the technique. The locations Geisenheim, Germany and Ås, Norway were used as examples. Inadequate winter chill was identified as the most limiting factor for these crops. CONCLUSIONS:We conclude that the technique is an efficient and convenient tool for monitoring the consequences of climate warming for berry crops.
Forfattere
Lampros LamprinakisSammendrag
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Forfattere
Maja Natic Dragana Dabic Zagorac Ivanka Ciric Mekjell Meland Biljana Rabrenovic Milica Fotiric AkšicSammendrag
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Forfattere
Magda Chudzinska Yoko L. Dupont Jacob Nabe-Nielsen Kate P. Maia Marie Vestergaard Henriksen Claus Rasmussen W. Daniel Kissling Melanie Hagen Kristian TrøjelsgaardSammendrag
Understanding interactions between individual animals and their resources is fundamental to ecology. Agent-Based Models (ABMs) offer an opportunity to study how individuals move given the spatial distribution and characteristics of their resources. When contrasted with empirical individual-resource network data, ABMs can be a powerful method to detect the processes behind observed movement patterns, as they allow for a complete and quantitative analysis of the agent-to-environment relationships. Here we use the small-scale, within-patch movement of bumblebees (Bombus pascuorum) as a case study to demonstrate how ABMs can be combined with network statistics to provide a deeper understanding of the mechanisms behind the interactions between individuals and their resources. We build an ABM that explicitly simulates the influence of distance to the nearest flowering plant (allowing minimal energy expenditure and maximum time spent foraging), plant height and number of flower heads (as a proxy of food availability) on local foraging decisions of bumblebees. The relative importance of these three elements is determined using pattern-oriented modelling (POM), where we confront the network statistics (number of visited plants, number of interactions, nestedness and modularity) of a real B. pascuorum individual-resource network with the emergent patterns of our ABM. We also explore the model results using spatial analysis. The model is able to reproduce the observed network statistics. Despite the complex behaviour of bumblebees, our results show a surprisingly precise match between the structure of the simulated and empirical networks after adjusting a single model parameter controlling the importance of distance to the next plant visited. Our study illustrates the potential of combining field data, ABMs and individual-resource networks for evaluating small-scale, within-patch movement decisions to better understand animal movements in natural habitats. We discuss the benefits of our approach when compared to more classical statistical methods, and its ability to test various scenarios in a new or altered environment.