Projects/Activities

Changes in surface reflection at the arctic tundra at Ny-Ålesund, Svalbard (79 N) were monitored during the melting season 2002 using a low cost multispectral digital camera with spectral channels similar to channels 2, 3, and 4 of the Landsat Thematic Mapper satellite sensor. The camera was placed 474 m above sea level at the Zeppelin Mountain Research Station and was programmed to take an image automatically every day at solar noon. To achieve areal consistency in the images (which is necessary for mapping purposes) the images were geometrically rectified into multispectral digital orthophotos. In contrast to satellite images with high spatial resolution the orthophotos provide data with high spatial and high temporal resolution at low cost. The study area covers approximately 2 km2 and when free of snow, it mainly consists of typical high arctic tundra with patchy vegetation and bare soil in between. The spectral information in the images was used to divide the rectified images into maps representing different surface classes (including three subclasses of snow). By combining classified image data and ground measurements of surface reflectance, a model to produce daily maps of surface albedo was developed. The model takes into account that snow-albedo decreases as the snow pack ages; and that the albedo decreases very rapidly when the snow pack is shallow enough (20-30 cm) to let surface reflectance get influenced by the underlying ground. Maps representing days with no image data (due to bad weather conditions) were derived using interpolation between pixels with equal geographical coordinates. The time series of modeled albedo-maps shows that the time it takes for the albedo to get from 80% to bare ground levels varies from less than 10 days in areas near the coast or in the Ny-Ålesund settlement till more than 70 days in areas with large snow accumulations. For the entire study area the mean length of the 2002 melting period was 28.3 days with a standard deviation of 15.1 days. Finally, the duration of the snowmelt season at a location where it is measured routinely, was calculated to 23 days, which is very close to what is the average for the last two decades.

Estimation of gravity around Ny-Ålesund

1. To undertake a review of procedures used in the regulation and monitoring of marine cage fish farms in Norway, Scotland and elsewhere to be used as the basis for creating an appropriate set of protocols, monitoring systems and techniques for the control of such farms in Mediterranean conditions 2. To carry out a field research programme to provide appropriate data on the environmental impact of marine cage fish farms in a range of conditions in the eastern Mediterranean. 3. To develop a predictive model to simulate the environmental response at Mediterranean sea cage farms to differing cage stocking levels and feeding regimes. This will be designed as a management tool for both the industry and regulatory authorities.

1. To compare temporal influences of environmental variables (e.g. depth temperature, contaiminats) on species and families 2. To corroborate inferences made from the previous two datasets. We hope to determine whether temperature is still the most important variable influencing the macrofauna 3. To analyse between temporal and spatial trends to determine whether there has been any significant change in the benthic community structure, especially at stations near past exploration activity 4. To compare results with those from the South of the Faroe Islands being collated by Daniel Jacobsen of the University of Copenhagen.

1. Establish a network to measure environmental change in marine waters by undertaking long-term research and monitoring 2. Maintain and enhance existing long-term research programmes 3. Restart important discontinued long-term research programmes 4. Develop a quality controlled database of long-term marine data series 5. Deliver and interpret long-term and broad scale contextual information to inform water quality monitoring 6. Demonstrate the benefits of preserving and networking long-term time series programmes

Objective 1: To map the structural and genetic variability, the framework-constructing potential, and the longevity of Deep Water Coral (DWC) ecosystems Objective 2: To assess hydrographic and other local physical forcing factors affecting Benthic Boundary Layer (BBL) sediment particle dynamics and POC supply in the vicinity of DWC ecosystems Objective 3: To describe the DWC ecosystem, its dynamics and functioning; investigate coral biology and behaviour and assess coral sensitivity to natural and anthropogenic stressors Objective 4: To assign a sensitivity code, identify the major conservation issues (and increase public awareness), and make recommendations for the sustainable use of the DWC ecosystem

1. To develop a deep water observation system 2. Detailed design document, workplan and risk register and reviewed and agreed by steering group, procurement of components. 3. Deep water tests of acoustic communications system performed. pilot data dissemination and archival system. Dry test DWOS -1 4. Deployment in near lab test environment eg. Dunstaffnage bay with regular inspections. Collect, analyse, disseminate and archive sensor and house keeping data 5. Deploy in exposed but coastal stratified site in western Irish Sea, with two visual inspections. Collect, analyse, disseminate and archive sensor and house keeping data. Liaison with Met Office regarding deployment logistics. 6. Six months Deployment at Deep Water site; Collect, analyse, disseminate and archive sensor and house keeping data; Distribute data to customers. Revisit mooring site after six months recover and redeploy. 7. Final Technical Report and Final Project Report: Second six months Deployment at Deep Water site (as decreed by steering group); Collect, analyse, disseminate and archive sensor and house keeping data. Analysis of complete data handling chain performed; impact of data on customer base assessed, recommendations for continuance of DWOS as an operational system.

1. To determine the effects of each of several sealice treatment chemicals on macrofaunal assemblages 2. To determine the effects of each of several sealice treatment chemicals on zooplankton assemblages 3. To determine the effects of each of several sealice treatment chemicals on meiofaunal assemblages 4. To determine the effects of each of several sealice treatment chemicals on benthic diatom assemblages 5. To determine the effects of each of several sealice treatment chemicals on phytoplankton assemblages 6. To determine the effects of each of several sealice treatment chemicals on macroalgal and littoral assemblages 7. To measure the concentrations of each of several sea lice treatment chemicals in the environment post-treatment 8. To determine the significant correlations between ecosystem responses, time and therapeutant concentration to determine the proportion of the observed environmental variance attributal to the treatments against a background of responses due to other parameters such as waste organic materials and nutrients 9. To model the dispersion and or depostion of farm wastes including of each of several sea lice treatment chemicals in the marine environment post treatment and to incorporate terms relating to the toxicity of these chemicals to certain parts of the ecosystem (e.g. the macrofauna)

1. To develop a system of photoactive biocides for treating sea lice and biofouling (Further details in confidence)

1. To provide detailed oceanographic support and navigation trials in the Western Mediterranean

The German Aerospace Center (DLR) Bi-spectral Infrared Detection (BIRD) small satellite is a technology demonstrator of new infrared push-broom sensors dedicated to recognition and quantitative characterisation of thermal processes on the Earth surface. BIRD was successfully piggy-back launched on October 22, 2001 with an Indian Polar Satellite Launch Vehicle (PSLV-C3) into a circular sun-synchronous orbit with an altitude of 572 km and a North - South local equator crossing time at 10:30 h. Besides cameras working in the visible and near infrared spectral range there are two cameras working in the middle infrared (MIR, 3.4 – 4.2 µm) and in the thermal spectral range (TIR, 8.5 – 9.3 µm) respectively. The objective is to validate these two cameras in cooperation with the Koldewey-Station in Ny-Ålesund. Therefore meteorological and aerological data as well as radiation measuring data will be used.

The study aims to optimise the used of landscape data as satellite images, aerial photos, maps, weather data when assessing conditions contributing to accidental risks. So far the study has focused on slope processes along the railway between Kiruna and Riksgränsen (Norwegian border).

The Submarine Operational And Research Environmental Database (SOARED)is comprised of a fixed relational environmental database using unclassified data collected during the Science Ice Exercises (SCICEX) during the past several years. It also includes publicly accessible gridded historical sound velocity, temperature and salinity data from 1900 from the US National Oceanographic Data Center. This project is a demonstration system to show ways to retrieve and analyze sound velocity, temperature and salinity profiles, bathymetry and ice thickness data using a mouse-driven GIS-based query.

The Collaborative Interdisciplinary Cryospheric Experiment (C-ICE) is a multi-year field experiment that incorporates many individual projects, each with autonomous goals and objectives. The science conducted has directly evolved from research relating to one of four general themes: i. sea ice energy balance; ii. numerical modeling of atmospheric processes; iii. remote sensing of snow covered sea ice; and iv. ecosystem studies.

- To support the further development of a geocryological database for the Usa Basin (East-European Russian Arctic), including key characteristics of permafrost such as distribution, coverage, temperature, active layer, etc. - To create GIS-based permafrost maps at the scale of 1:1,000,000 for the entire Usa Basin and at 1:100,000 for selected key sites. - To reconstruct the history of permafrost dynamics at key sites in the region over the last thousands of years using palaeoecological analysis and radiocarbon dating of peat deposits, and over the last few decades using remote sensing imagery and/or monitoring (base case scenario). - To predict permafrost dynamics at key sites in the region under future conditions of climate change (20-100 yrs), using a 1-dimensional permafrost model (future global change scenario). - To assess the effects of permafrost dynamics under base case and global change scenarios on urban, industrial and transportation infrastructure in the Usa Basin. Research activities Based on several representative sites, late Holocene permafrost dynamics will be characterized using palaeoecological techniques. Variability in permafrost conditions over the last few decades will be studied based on the available data from long-term monitoring station records and from a time series of remote sensing images (optional). Mathematical modelling of permafrost dynamics will be carried out for at least two sites and a forecast of permafrost degradation in the area under anticipated climate warming will be developed. The likely effects of permafrost degradation upon regional infrastructure (inhabited localities, heat and power engineering, coal and ore mines, oil and gas extracting complex, pipelines and railways) will be analyzed using a GIS approach. GIS data layers on permafrost dynamics and infrastructure will be compared in order to delimitate high risk areas based on existing infrastructure and anticipated permafrost degradation. Hereafter, the created GIS may serve as a basis for more detailed forecasting of permafrost dynamics under both natural and anthropogenic climate changes in lowland and alpine areas of the East-European Russian Arctic.

Phase I: Evaluation of the Current Status of the Problem with Respect to Environmental Impact and Development of Proposals for Priority Remedial Actions: The main goal of phase 1 of the multilateral PCB project is the evaluation of the current status of the PCB problem in Russia. The objectives of sub-activities under phase 1 of the project included: - Assessment of the overall production of PCB in the former USSR and Russian Federation, and the calculation of a mass-balance of the amount produced. - Estimation of the total volume of PCB still in use, in equipment and in wastes located within the territories of Russian Federation. - Preparation of an inventory of environmental releases from industrial uses and waste. - Development of proposals for priority remedial actions. Project results are presented in relevant publications (see below).

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.