Norway: projects/activities

Estimation of gravity around Ny-Ålesund

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.

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.

Investigation of benthic faunal communities for: taxon distribution/ biodiversity mapping; examination of effects of glacial and physical disturbance on community structure; relation between faunal structure and sediment contaminants.