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The IPY-project ‘COPOL’ has a main objective of understanding the dynamic range of man-made contaminants in marine ecosystems of polar regions, in order to better predict how possible future climate change will be reflected in levels and effects at higher trophic levels. This aim will be addressed by 4 integrated work packages covering the scopes of 1) food web contaminant exposure and flux, 2) transfer to higher trophic levels and potential effects, 3) chemical analyses and screening, 4) synthesis and integration. To study the relations between climate and environmental contaminants within a project period of four years, a “location-substitutes-time”-approach will be employed. The sampling is focussed towards specific areas in the Arctic, representing different climatic conditions. Two areas that are influenced differently by different water masses are chosen; the Kongsfjord on the West-coast of Spitzbergen (79N, 12 E) and the Rijpfjord North-East of Svalbard (80N, 22 E). The main effort is concentrated in the Kongsfjord. This fjord has been identified as particularly suitable as a study site of contaminants processes, due to the remoteness of sources, and for influences of climatic changes, due to the documented relation between Atlantic water influx and the climatic index North Atlantic Oscillation (NAO). The water masses of the Rijpfjord have Arctic origin and serves as a strictly Arctic reference. Variable Atlantic water influx will not only influence abiotic contaminant exposure, but also food web structure, food quality and energy pathways, as different water masses carry different phyto- and zooplankton assemblages. This may affect the flux of contaminants through the food web to high trophic level predators such as seabirds and seals, due to altered food quality and energy pathways.
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.
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.
1) To perform simulation scenarios for the 21st century, including global warming scenarios, of potential radioactive spreading from sources in the Russian Arctic coastal zone and its impact on Barents, Greenland and Norwegian Seas and the Arctic Ocean; 2) To update the environmental and pollution data base of the Arctic Monitoring and Assessment Program (AMAP); 3) To assess, select and define the most probable simulation scenarios for accidental releases of radionuclides; 4) To implement a Generic Model System (GMS) consisting of several nested models designed to simulate radionuclides transport through rivers, in the Kara sea and in the Arctic ocean / North Atlantic; 5) To carry out simulation studies for the selected "release" scenarios of radionuclides, using various atmospheric forcing scenarios; 6) Assess the impact on potential radioactive spreading from sources as input to risk management.
To assess potential levels of radionuclides input into the Kara sea from existing and potential sources of technogenic radioactivity, located on the land in the Ob- and Yenisey rivers watersheds. Specific Objectives * To reveal and estimate a) most hazardous technogenic sources of radioactive contamination in the Ob- and Yenisey watersheds and b) the most possible and dangerous natural and technogenic (antrophogenic) situations (in the regions of these sources) that may result in release of radionuclides into the environment and may lead to significant changes in the radioactive contamination of the Kara sea * To estimate parameters of radionuclides (potential amount, composition, types etc.) under release to the environment from chosen sources as a result of accidents as well as during migration from the sources to the Kara sea through river systems * To set up a dedicated Database and a Geographic Information System (GIS) for modelling transport of radionuclides from the land-based sources to the Kara sea * To develop and create a dedicated model tool for simulation of radionuclides transport from land-based sources through Ob- and Yenisey river systems to the Kara sea
Surface samples collected around Svalbard in 1997 have been analysed for total content of heavy metals, Polycyclic Aromatic Hydrocarbons (PAHs), Polychlorinated Biphenyls (PCBs) and a selection of pesticides. Sample localities have been selected to include areas not covered by previous investigations. Based on the data set and results from previous expeditions in the area, contamination levels as well as potential sources for the pollutants are discussed. The PAH levels for most stations are moderately elevated with a high contribution of aromatic hydrocarbons associated with petrogenic sources. Hence the dominant sources for the PAHs is most likely derived from petroleum seepage and or coal mining. Long-range transport of aromatics associated with anthropogenic input is a minor component of the observed PAH levels. The highest concentration of PAH is found in Storfjorden with a value higher than the elevated concentrations earlier reported from the south-eastern Storfjorden and over the Central Bank. The concentration levels of the metals arsenic, lead, chromium and nickel were moderately elevated. Because of sparse information on the natural geomorphology, background metal concentrations are not known for this area. Hence, no quantitative comparison of natural and anthropogenic inputs for metals can be made. However, the most dominant source is assumed to be natural and related to the geological conditions in the area. All PCB levels were low, suggesting a dominant influence of long-range transport of these compounds to the area. Pesticide data showed low contamination of all compounds and suggests a predominant long-range atmospheric source for these pollutants.
Levels of selected contaminants have been determined in sediment, blue mussel, seeweed and fish from harbour areas in Harstad, Tromsø, Hammerfest and Honningsvåg in northern Norway. The following contaminants were included in the study: PAH, PCB, 5CB, HCB, OCS, HCH, DDT, DDE, DDD, TBT, Cd, Cu, Hg, Pb, Zn and Li. A few samples were also analysed for dioxines (PCDD and PCDF), non-ortho PCBs and PCN. The results were compared with the Norwegian State Pollution Control Authorities classification system for marine sediments (Molvær et al. 1997). Elevated (and in most cases very high) levels of most of the measured contaminants were found in all the investigated harbour areas.
The aim of the project is to detrmine the content of organic contaminants in sea ice (including dirty ice), sea water (particulate and dissolved), snow, ice algae and phytoplankton collected in the marginal ice zone of the Barents Sea and in Fram Strait, and to calculate bioconcentration factors from the abiotic compartments to the lowest trophic levels of the food chain. Silicate measurements were included in the Fram Strait as water mass tracer. The Barents Sea represents an area influence mainly by first year ice with sea ice formed in the area and or in the Kara Sea, and and strongly influenced by the inflowing two branches of water of Atlantic origin. Samples were collected on a transect along the ice edge and at two transects into the ice. The stations across the Fram Strait were taken in regions affected by water masses and sea ice from differents regions and age. In the western sector, the upper water column was influenced by the inflowing west Spitsbergen current of Atlantic origin and mainly with first-second year ice, while the easter station was influenced by outflowing water from the Arctic Ocean and multiyear sea ice of more eastern origin.
To investigate the impacts of Russia's military and civilian nuclear activities in the Kola Bay and adjacent areas of the northwest Arctic coast of Russia.
The project aims to carry out an environmental assessment of the marine environment close to the three main settlements in the Isfjorden complex; Barentsburg, Longyearbyen and Pyramiden. The study comprises analyses of sediment geochemistry and soft-bottom benthic fauna. Attention is given to distinguishing atmospheric transport of contaminants from those arising from local sources.