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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.

2022

Sammendrag

Sustainability is proposed as a solution to the many negative consequences of modern agriculture. However, although science and policy have aimed for sustainability for more than two decades, it seems that we are not making enough progress. This is due to the complexities of the sustainability concept and that we need to better understand how we can create change. In seeing sustainability as a learning process, this thesis aims to understand how to enhance farm sustainability in Arctic Norway. This is achieved by combining four research rationales: stakeholders’ perspectives, sustainability assessments, sustainability learning, and participatory approaches. I use a case study strategy involving farms in Arctic Norway. By applying a multimethod qualitative approach, I explore the topic through three empirical papers wherein stakeholder participation plays a prominent role. By discussing the findings, I conceptualize farm sustainability as a long-term and multilevel learning process. To achieve farm sustainability, several steps must be aligned: there must be a purpose for the process, various stakeholders must take part, we must know what to learn, a transdisciplinary methodology must be used, and the process should be flexible. In addition, the process must be embedded in the very way of farming. The relevance of these findings is that farm sustainability must be aligned with change toward improved sustainability in society at large. Context plays a major role in what, why, and how we can learn, as well as in who we can learn with. Therefore, farm sustainability as a learning process must be translated to fit the empirical context. This thesis contributes to theory development in the field of agricultural sustainability. Furthermore, it deepens our understanding of how values and context influence farm sustainability, demonstrates the relevance of combining sustainability assessments with a learning process, and broadens our understanding of sustainability learning in agriculture. In combining ‘sustainability as a theory’ and ‘sustainability as a practice’, lies the key to farm sustainability in Arctic Norway.

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Sammendrag

Viruses are omnipresent, yet the knowledge on drivers of viral prevalence in wild host populations is often limited. Biotic factors, such as sympatric managed host species, as well as abiotic factors, such as climatic variables, are likely to impact viral prevalence. Managed and wild bees, which harbor several multi-host viruses with a mostly fecal–oral between-species transmission route, provide an excellent system with which to test for the impact of biotic and abiotic factors on viral prevalence in wild host populations. Here we show on a continental scale that the prevalence of three broad host viruses: the AKI-complex (Acute bee paralysis virus, Kashmir bee virus and Israeli acute paralysis virus), Deformed wing virus, and Slow bee paralysis virus in wild bee populations (bumble bees and solitary bees) is positively related to viral prevalence of sympatric honey bees as well as being impacted by climatic variables. The former highlights the need for good beekeeping practices, including Varroa destructor management to reduce honey bee viral infection and hive placement. Furthermore, we found that viral prevalence in wild bees is at its lowest at the extreme ends of both temperature and precipitation ranges. Under predicted climate change, the frequency of extremes in precipitation and temperature will continue to increase and may hence impact viral prevalence in wild bee communities.

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Sammendrag

Understanding how niche-based and neutral processes contribute to the spatial varia-tion in plant–pollinator interactions is central to designing effective pollination con-servation schemes. Such schemes are needed to reverse declines of wild bees and other pollinating insects, and to promote pollination services to wild and cultivated plants. We used data on wild bee interactions with plants belonging to the four tribes Loteae, Trifolieae, Anthemideae and either spring- or summer-flowering Cichorieae, sampled systematically along a 682 km latitudinal gradient to build models that allowed us to 1) predict occurrences of pairwise bee–flower interactions across 115 sampling locations, and 2) estimate the contribution of variables hypothesized to be related to niche-based assembly structuring processes (viz. annual mean temperature, landscape diversity, bee sociality, bee phenology and flower preferences of bees) and neutral processes (viz. regional commonness and dispersal distance to conspecifics). While neutral processes were important predictors of plant–pollinator distributions, niche-based processes were reflected in the contrasting distributions of solitary bee and bumble bees along the temperature gradient, and in the influence of bee flower preferences on the distri-bution of bee species across plant types. In particular, bee flower preferences separated bees into three main groups, albeit with some overlap: visitors to spring-flowering Cichorieae; visitors to Anthemideae and summer-flowering Cichorieae; and visitors to Trifolieae and Loteae. Our findings suggest that both neutral and niche-based pro-cesses are significant contributors to the spatial distribution of plant–pollinator inter-actions so that conservation actions in our region should be directed towards areas: Page 2 of 11near high concentrations of known occurrences of regionally rare bees; in mild climatic conditions; and that are surrounded by heterogenous landscapes. Given the observed niche-based differences, the proportion of functionally distinct plants in flower-mixes could be chosen to target bee species, or guilds, of conservation concern. Keywords: ecological networks, machine learning, plant–pollinator interactions, spatial, wild bees