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Directory entires that have specified Norway as one of the geographic regions for the project/activity and are included in the AMAP, ENVINET, SAON and SEARCH directories. Note that the list of regions is not hierarchical, and there is no relation between regions (e.g. a record tagged with Nunavut may not be tagged with Canada). To see the full list of regions, see the regions list. To browse the catalog based on the originating country (leady party), see the list of countries.
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Monitor the levels of radionuclides (137Cs and 210Po) in selected fish and seafood species in the Norwegian and Barents Sea.
Marine foodwebs as vector and possibly source of viruses and bacteria patogenic to humans shall be investigated in a compartive north-south study. Effects of sewage from ships traffic and urban settlements, on animals of arctic foodwebs will be studied.
During the last decade the concern regarding environmental effects of the offshore industry has shifted from effects of drilling discharges on benthic communities, towards a stronger focus on the water column and effects on the pelagic ecosystem. At the same time, oil and gas development is expanding in the Norwegian and Russian sectors of the Barents Sea. In this regard, a project has been initiated to look at responses of especially Calanus spp. and other copepod species to long-term, sublethal exposure to selected offshore discharges and discharge components, as well as accidental oil spills. Calanus spp. is ecologically the most important zooplankton species along the Norwegian shelf and in the Barents Sea. A laboratory based facility for culture through several generations is being developed through this project. In addition, the impact of oil compounds on the cold-water and arctic Calanus species-complex will be examined by carrying out a series of laboratory (some at Ny Ålesund) and ship based experiments. The response parameters will include both behavioral (feeding, mate finding, avoidance) and physiological (mortality, egg production, development rates, oxygen consumption and assimilation efficiency) parameters. The ultimate outcome of this research is expected to be a supporting instrument for ecological risk assessment of offshore discharges, which is highly relevant both to the North Sea, the mid-Norway shelf and the Barents Sea.
In 1990, the Directorate for Nature Management (DN) established an area for integrated monitoring within Børgefjell National Park, Røyrvik, N Trøndelag. Studies of vegetation-environment relationships in the area was performed by NINA. The area includes both subalpine birch forest and low alpine heath. The new established vegetation investigation included all together 80 different species. This material was processed numerically by using multivariate methods. Indirect gradient analyses were performed using Detrended Correspondence Analysis (DCA) and Local Nonmetric Multidimentional Scaling (LNMDS). Direct gradient analyses were performed by using rescaled hybrid Canonical Correspondence Analysis (CCA). Non-parametric correlation analyses, Kendall’s , were performed between environmental parameters and DCA axis values. The results of the numerical and statistical processing were used partly to provide a description of the vegetational structure in the material and partly to quantify how much each ecological parameters contributed to determination of vegetational structure. This work shows the species distribution along various complex gradients; moisture, nutrient conditions, light etc. The investigation is primarily designed to study vegetation dynamics along these gradients and whether changes in the number of species can be related to changes in physical, biotic and, not least, chemical parameters. Variance analysis was performed to assess to what extent the sample plots tends move in a determined direction from 1990 to 1995. The variation between the years were not significant along the primary complex gradients, but there were a significant displacement of species along the following gradients. The most important species were: Vaccinium vitis-idaea, Melampyrum sylvaticum and Hylocomium splendens), which showed an increase and some cryptogams like Brachythecium reflexum, B. salebrosum and Cladonia ecmocyna which declined.
In 1993, the Directorate for Nature Management (DN) established a new area for the monitoring of terrestrial ecosystems in Dividalen National Park in Troms County. This report presents the reanalysis of vegetation and soil from this terrestrial monitoring area. The area in Dividalen is located in the northern boreal birch forest, in a relatively continental section where the dominant type of vegetation is bilberry-mountain crowberry birch forest (A4c). The structure of the vegetation is analysed by multivariate methods (ordination). In Dividalen all together 131 species were found; 75 vascular plants, 18 mosses, 14 liverworts and 24 lichens. This is a decrease from the number of species recorded in 1993 when 141 species were found in the same mesoplots: 74 vascular plants, 24 mosses, 18 liverworts and 25 lichens. The decrease was not significant for the total number of species or for the total number of vascular plants. However the total number of cryptogames showed a slight significant decrease in number between 1993 and 1998. This may be due to increased cover of several ericoid species. In Dividalen we found no significant changes in vegetation composition for the periode 1993 – 1998 along the first four ordination axes. However, there were changes in mesoplots with high DCA1 values. The changes were in the direction towards lower species richness. Species like Myosotis decumbens, Poa alpina, Solidago virgaurea, Cerastium fontanum and Rumex acetosa ssp. lapponicus showed the largest decrease in these mesoplots. Species that showed the largest increase were Vaccinium vitis-idaea, Mnium spinosum and Polytrichum juniperinum. We have found no relations between these changes and acidification due to deposition of pollutans. Lack of disturbance factors in the area in the last years, which favours an increase in ericoid vegetation, is the probable explanation for the changes.