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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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This project has been divided into two new projects: The Swedish Forest Soil Inventory and the Swedish National Forest Inventory.
The Swedish National Forest Inventory has the task of describing the state and changes in Sweden's forests. The inventory gathers basic information on forests, soils and vegetation. It includes most aspects concerning soils, for example: soil types, soil chemistry including organic matter, water conditions and content of stones and boulders. Acidification, nitrogen deposition and the contribution by soils to climate change are some of the current issues dealt with. Regularly reported variables are: forest state, injuries, and growth, logging operations, new forest stand, and environmental assessment. Invented variables on permanent sampling plots include: position in the landscape, field vegetation, site conditions, soil sampling, assesment of soil characteristics, chemical analysis of soil in O-, B-, BC- and C-horizons.
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.
The main objective of the facility is to enhance the international scientific co-operation at the seven Finnish research stations and to offer a very attractive and unique place for multidisciplinary environmental and atmospheric research in the most arctic region of the European Union. Factors such as, arctic-subarctic and alpine-subalpine environment, northern populations, arctic winters with snow, changes in the Earth's electromagnetic environment due to external disturbances and exceptionally long series of observations of many ecological and atmospheric variables should interest new users.
Mapping and monitoring of the snow cover with use of satellitte born optical instruments for (1) direct use of observations of climate change and (2) use of observations in climate modelling. Measurements of the snows spectral reflectance and other physical properties.
(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 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 generate high-resolution quantitative palaeoceanographic/palaeoclimatic data from NE Atlantic coastal/shelf sites for the last 2000 years using a multidisciplinary approach 2. To develop novel palaeoclimatic tools for shallow marine settings by (i) calibrating the proxy data against instrumental datasets, (ii) contributing to transfer function development, and (iii) then to extrapolate back beyond the timescale of the instrumental data using the palaeoclimate record 3. To investigate the link between late Holocene climate variability detected in the shelf/coastal regions of western Europe and the variability of the oceanic heat flux associated with the North Atlantic thermohaline circulation, and to compare such variability with existing high-resolution terrestrial proxies to help determine forcing mechanisms behind such climate change 4. To lay a foundation for the identification of hazards and resources linked with, or forced by, such climate change.
1. To use a combination of archival and contemporary data to develop and test hypotheses on the impact of climatic change on rocky intertidal animals and plants. 2. Forecast future community changes based on Met. Office Hadley centre models and UKCIP models. 3. Establish a low-cost fit-for-purpose network to enable regular updates of climatic impact projections. 4. Assess and report likely consequences of predicted changes on coastal ecosystems. To provide general contextual time-series data to support marine management and monitoring. 5. Evaluate use of intertidal indicator species as sustainability indices. Disseminate the results as widely as possible. 6. Provide a basis for the development of a pan-European monitoring network.
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
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.
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.