ENVINET (European network for arctic-alpine multidiciplanary environmental research) is a research infrastructure network focusing on multidisciplinary environmental research in Europe. The network involves representatives from 18 environmental research infrastructures from the European Alps to the Arctic, representatives of their users and representatives from relevant international organizations and networks. The participating infrastructures cover a broad range of environmental sciences primarily within atmospheric physics and chemistry as well as marine and terrestrial biology.
The ENVINET project directory covers data and observation activities at these stations.
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1. Observations of the physics of vertical and open boundary exchange in Regions of Restricted Exchanges (REEs), leading to improved parameterisation of these processes in research and simplified models. 2. Study of the phytoplankton and pelagic micro-heterotrophs responsible for production and decomposition of organic material, and of sedimentation, benthic processes and benthic-pelagic coupling, in RREs, with the results expressed as basin-scale parameters. 3. Construction of closed budgets and coupled physical-biological research models for nutrient (especially nitrogen) and organic carbon cycling in RREs, allowing tests of hypotheses about biogeochemistry, water quality and the balance of organisms. 4. Construction of simplified 'screening' models for the definition, assessment and prediction of eutrophication, involving collaboration with 'end-users', and the use of these models to analyse the costs and benefits of amelioration scenarios.
1. To quantify the effectiveness of the biofilters in reducing the impacts of mariculture across Europe from both an economic and environmental perspective. 2. To determine the best design and placements of the biofilters, accounting for differences in geography, hydrology, nutrient input etc. between countries. 3. To examine the environmental and regulatory options governing the use of the biofilters at the end of their life-span and to provide detailed economic analyses of biofilter use compared to existing filtration methods.
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)
3-D GPR (ground penetrating radar) profiling of permafrost deposits and examination of their geocryologic and sediment properties for verification of GPR profiles. The scientific project has the following aims: To improve the understanding of how GPR (ground penetrating radar) reflections are generated in frozen ground; to reveal the main factors (geophysical and sedimentary) controlling electromagnetic reflection characteristics and their spatial continuity as examplarily studied along a continuous permafrost section, i.e. to distinguish between physical (dielectricity, conductivity and density) and sedimentary (ice/water content, grain size distribution, content of organic matter, texture) properties and estimate their proportionate quantity on the origin of the wave reflections.