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Directory entires that have specified Europe 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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National Environmental Monitoring in Sweden. The monitoring of persistent organic pollutants (POPs) in fish is performed in 110 lakes in Sweden and annual sampling is carried out in 32 lakes, of which 7 are located in or close to the AMAP area. Three fish species have been selected: Arctic char (Salvelinus alpinus), Northern pike (Esox lucius), and Perch (Perca fluviatilis). Fish are sampled, prepared, and stored in the Environmental Specimen Bank (ESB) at the Swedish Museum of Natural History (NRM). PCB, HCH, HCB, DDT, DDE, PFAS and PBDE are some of the POPs that are analysed.
National Environmental Monitoring in Sweden. Monitoring of heavy metals in fish is performed in 110 trend lakes in Sweden. Annual sampling is carried out in 32 lakes, of which seven are in AMAP area. Three fish species have been selected: Arctic char (Salvelinus alpinus), Northern pike (Esox lucius), and Perch (Perca fluviatilis). A selection of metals is analysed in prepared samples of muscle and liver tissue. Analysed metals in liver are : Al, Ag, As, Bi, Cd, Cr, Cu, Ni, Pb, Sn and Zn. In muscle samples Hg and stabile isotopes δ 15N, δ 13C are analysed.
Annual measurements of physical, chemical, and biological variables are taken in small to medium sized, mostly minimally disturbed lakes, situated across the country. Of the 108 lakes that are part of the Trend Station Lake monitoring programme, 20 are situated in AMAP area. The main aim of the monitoring programme is to document long-term changes related to global or regional change and human-generated stressors. To complement the Trend Station Lake monitoring programme, national lake surveys provide spatial data needed to determine regional patterns, and coupled with time-series data, changes in surface water quality. The National Lake Survey (the Surveillance Stations, re-sampled stations) programme for lake water quality, started in 2007 and results in data of all Swedish lake conditions. Each year some 800 new lakes are sampled to determine chemical and physical conditions; lakes are resampled at 6 year intevals. 4824 lakes are sampled in the country during a six-year sampling cycle, with 1270 situated in AMAP area. The variables included in the Trend Station Lake monitoring programme include water chemistry, fish, phytoplankton, macrophytes, zooplankton, and benthic invertebrates, whilst the National Lake Survey is focused solely on chemical and physical parameters.
• This proposal is to develop a reliable method for forecasting the occurrence of marine mammals based on time of year, location and oceanographic conditions. • The work will exploit components of existing NERC-funded research within the core science programmes of SMRU and SAMS. • Pre-existing data on marine mammal aggregations lead us to believe that the proposed method has a high probability of success. • The main study area will be the Sea of the Hebrides and the Minch. • Historical data on marine mammal sightings will be supported by an observational programme, including the use of acoustics and satellite and radio tags. • Simultaneous oceanographic data will be collected during the above programme, supplementing the extensive SAMS archive of time-series from this area. • A proposed operational monitoring network in the southern Minch will be adapted to add acoustic observations to the planned suite of physical and chemical sensors. • The datasets will be analysed using a variety of statistical techniques to yield a practical relationship between observables (local oceanographic conditions, season, location) and species abundance. • The validity of this relationship as an operational tool will be tested in a variety of scenarios. • The work is expected to run from the summer of 2002 to the summer of 2005.
• There is a clear need to predict the occurrence of marine mammals in order to minimise the possible harmful impact of military sonar activities, some of which have recently received extensive public media exposure. • No military or civilian method currently exists to predict the possibility of encountering marine mammals. • The proposed work will exploit components of existing NERC-funded research within the core science programmes of SAMS and SMRU to develop a predictive tool that will link marine mammal occurrence to classical oceanographic observables. • Pre-existing data on marine mammal aggregations lead us to believe that the proposed method has a high probability of success. • The main study area will be the open seas to the north and west of the Hebrides. • Existing NERC-funded SAMS cruises in this area will collect oceanographic data, supplementing remotely sensed imagery and the extensive SAMS archive of time-series from this area. • A key element in achieving the proposal objective (and in furthering NERC science objectives) will be the recruitment of SMRU observers and equipment to SAMS cruise complements so that marine mammal sightings may be linked directly to the oceanographic research programme. • Additional SMRU deployments on board vessels of opportunity will increase the density of the observational programme. • The suitability of SOSUS acoustic data as an indicator of marine mammal presence will be investigated. • The datasets will be analysed using a variety of statistical techniques to yield a practical relationship between observables (local oceanographic conditions, season, location) and species abundance. • The value of the relationship as an operational tool will be tested in a variety of scenarios. • The work is expected to run from the summer of 2002 to the summer of 2005.
(a) To assemble and further develop an integrative methodology for in situ evaluation of the effects of turbidity and hypoxia on fish physiological and/or behavioural performance. (b) To determine experimentally the threshold values beyond which oxygen and turbidity levels are liable to alter fish physiological and/or behavioural performance. (c) To integrate the results obtained in a conceptual and predictive model. Main expected achievements:  establishment of a link between laboratory studies, studies in mesocosms and field studies, using the most advanced techniques for monitoring behaviour in various environmental conditions.  an understanding of the impact of water turbidity and oxygenation on three major components of the behavioural repertoire of fish: habitat selection, predator-prey interactions and schooling-aggregation.  Predictive ability for the effect of the environmental variables studied on ecologically relevant behaviour.
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. Analysis of existing data from the current shellfish monitoring programmes in order to design a suitable sampling strategy 2. Ideentification of toxic algal species in UK waters 3. Construction of a detailed time-series at several key sites in the UK for toxic phytoplankton and shellfish toxin occurence 4. Comparison of the genotype versus toxicity of suspected toxic species between sites
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