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.
2016
Authors
Christina SoggeAbstract
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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
Authors
Grete StokstadAbstract
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Authors
Christian PedersenAbstract
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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.
Authors
Marie Trydeman Knudsen John E. Hermansen Christel Cederberg Felix Herzog Jim Vale Philippe Jeanneret Jean-Pierre Sarthou Jürgen K. Friedel Katalin Balázs Wendy Fjellstad Max Kainz Sebastian Wolfrum Peter DennisAbstract
Life Cycle Assessment (LCA) is a widely used tool to assess environmental sustainability of products. The LCA should optimally cover the most important environmental impact categories such as climate change, eutrophication and biodiversity. However, impacts on biodiversity are seldom included in LCAs due to methodological limitations and lack of appropriate characterization factors. When assessing organic agricultural products the omission of biodiversity in LCA is problematic, because organic systems are characterized by higher species richness at field level compared to the conventional systems. Thus, there is a need for characterization factors to estimate land use impacts on biodiversity in life cycle assessment that are able to distinguish between organic and conventional agricultural land use that can be used to supplement and validate the few currently suggested characterization factors. Based on a unique dataset derived from field recording of plant species diversity in farmland across six European countries, the present study provides new midpoint occupation Characterization Factors (CF) expressing the Potentially Disappeared Fraction (PDF) to estimate land use impacts on biodiversity in the ‘Temperate Broadleaf and Mixed Forest’ biome in Europe. The method is based on calculation of plant species on randomly selected test sites in the biome and enables the calculation of characterization factors that are sensitive to particular types of management. While species richness differs between countries, the calculated CFs are able to distinguish between different land use types (pastures (monocotyledons or mixed), arable land and hedges) and management practices (organic or conventional production systems) across countries. The new occupation CFs can be used to supplement or validate the few current CF's and can be applied in LCAs of agricultural products to assess land use impacts on species richness in the ‘Temperate Broadleaf and Mixed Forest’ biome.
Authors
Sebastian EiterAbstract
No abstract has been registered
Abstract
Accessibility is a central issue for human activity, particularly in mountain areas. We investigate changes in physical accessibility in a Western Norwegian mountain area during the past 40–60 years and identify driving forces of changes. Changes in accessibility were measured as changes in travel time between permanently and seasonally inhabited farmsteads. Additionally, travel time from new access points in the mountains was calculated. C.75% of the investigated access routes to seasonal farmsteads have remained unchanged due to continued use or maintenance work, or been slightly improved due to development of paths into roads. In addition, new access routes have emerged as a result of road construction. Regrowth of paths due to abandonment of seasonal farming has reduced accessibility. Changes in accessibility have led to a concentration of activities in more easily accessibly parts of the study area. Documented changes in accessibility result from a complex interaction of driving forces that initiate or influence change. Important drivers interacting with road construction and abandonment of seasonal farming can be categorized as socio-economic, political and technological. However, the importance of culturally rooted commitment of local people or a small number of enthusiasts must not be underestimated.