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.
2017
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Ragnhild Aabøe Inglingstad Taye Mestawet Tove Gulbrandsen Devold Ellen Kathrine Ulleberg Gerd Elisabeth Vegarud Peer Berg Anna Caroline Holene Nina SvartedalAbstract
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2016
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The report is based on information Norway provided in an electronic questionnaire that was prepared by FAO to collect national data as a contribution to The State of the World’s Biodiversity for Food and Agriculture. The report presents information on the status and trends of biodiversity for food and agriculture, including animals, plants and micro-organisms with a direct or indirect role in agriculture, forestry and/or fisheries. A lot of data on these issues is available in Norway; however it is mostly spread across different monitoring systems and fragmented. The report draws attention to the use and conservation of biodiversity for food and agriculture and to the function(s) of and interactions between its components in production systems. The report focuses more on associated biodiversity, ecosystem services and wild foods than on plant, animal and forest genetic resources as these are presented in other reports. Even if the awareness on the importance of associated biodiversity to food production and food
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Abstract Questions Vegetation mapping based on field surveys is time-consuming and expensive. Distribution modelling might be used to overcome these challenges. What is the performance of distribution modelling of vegetation compared to traditional vegetation mapping when projected locally? Does the modelling performance vary among ecosystems? Does vegetation type distribution and abundance influence the modelling performance? Location Gravfjellet, Øystre Slidre commune, southern Norway. Methods Two comparable neighbouring areas, each of 4 km2, were mapped for species-defined vegetation types. One area was used for model training, the other for model projection. Maximum entropy models were run for six vegetation types, two from each of the ecosystems present in the area: forest, wetland and mountain heath- and shrublands. For each ecosystem, one locally abundant and one locally rare vegetation type were tested. AUC, the area under the receiver operating curve, was used as the model selection criterion. Environmental variables (n = 9) were selected through a backwards selection scheme, and model complexity was kept low. The models were evaluated using independent data. Results Distribution modelling of vegetation types by local projection gave high AUC values, and the results were supported by the evaluation using independent data. The modelling ability was not affected by ecosystem differences. A negative relationship between the number of points used to train the models and the AUC value before evaluation suggests that models for locally rare vegetation types had better predictive performance than the models for abundant types. This result was not significant after evaluation. Conclusion Provided that relevant explanatory variables are available at an appropriate scale, and that field-validated training points are available, distribution modelling can be used for local projection of the six tested vegetation types from the boreal–alpine ecotone.
2015
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Anders Bryn Hans P. Kristoffersen Michael Angeloff Ingvild Nystuen Linda Aune-Lundberg Dag Terje Filip Endresen Christian Svindseth Yngve RekdalAbstract
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Biodiversity underpins food security, ecosystem resilience, coping strategies for climate change, adequate nutritional requirements and the management of biological processes needed for sustainable agricultural production. To achieve sustainable food production and ensure environmental sustainability, agricultural, forest and marine production systems need to focus more on the effective conservation and management of biodiversity and ecosystem services. This requires a comprehensive understanding and enhanced use of the role of biodiversity, genetic resources and their ecosystem functions. Norway’s country report on the state of biological diversity for food and agriculture addresses these issues, and by doing so, also contributes to the preparation of FAO’s report on the state of the World’s Biodiversity for Food and Agriculture.
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