The AMAP Marine Thematic Data Centre holds marine contaminants data for monitoring and assessment. The database is hosted by the International Council for the Exploration of the Sea (ICES), Copenhagen, Denmark, and are accessible through their online EcoSystemData warehouse.
AMAP Thematic Data Centres compile data from relevant monitoring and research activities and make them available under strict conditions that protect the rights of data originators. AMAP TDCs are located at established centres with appropriate expertise and facilities for conducting the types of international data handling required. For more information, please visit the main AMAP website.
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Det danske bidrag til Arctic Monitoring and Assessment Programme (AMAP) under Arktisk Råd har dokumenteret at østgrønlandske isbjørne er mest forurenede mht. fedtopløselige organiske miljøgifte. Siden 1999 har Danmarks Miljøundersøgelsers Afdeling for Arktisk Miljø (DMU-AM) undersøgt isbjørnesundheden i Østgrønland via et unikt samarbejde med lokale bjørnefangere, og et tværfagligt samarbejde med biologisk, veterinær og human medicinske fagområder i Grønland og Danmark samt internationale samarbejdsrelationer med Canada, Norge og Tyskland. Undersøgelserne er mundet ud i en lang række af række internationale videnskabelige publikationer som dokumenterer tidstrend i miljøbelastningen af de grønlandske og norske isbjørne og sammenhængen mellem forurening og helbredseffekter på isbjørne. Disse har fået omtalt presseomtale verden over.
The IPY-project ‘COPOL’ has a main objective of understanding the dynamic range of man-made contaminants in marine ecosystems of polar regions, in order to better predict how possible future climate change will be reflected in levels and effects at higher trophic levels. This aim will be addressed by 4 integrated work packages covering the scopes of 1) food web contaminant exposure and flux, 2) transfer to higher trophic levels and potential effects, 3) chemical analyses and screening, 4) synthesis and integration. To study the relations between climate and environmental contaminants within a project period of four years, a “location-substitutes-time”-approach will be employed. The sampling is focussed towards specific areas in the Arctic, representing different climatic conditions. Two areas that are influenced differently by different water masses are chosen; the Kongsfjord on the West-coast of Spitzbergen (79N, 12 E) and the Rijpfjord North-East of Svalbard (80N, 22 E). The main effort is concentrated in the Kongsfjord. This fjord has been identified as particularly suitable as a study site of contaminants processes, due to the remoteness of sources, and for influences of climatic changes, due to the documented relation between Atlantic water influx and the climatic index North Atlantic Oscillation (NAO). The water masses of the Rijpfjord have Arctic origin and serves as a strictly Arctic reference. Variable Atlantic water influx will not only influence abiotic contaminant exposure, but also food web structure, food quality and energy pathways, as different water masses carry different phyto- and zooplankton assemblages. This may affect the flux of contaminants through the food web to high trophic level predators such as seabirds and seals, due to altered food quality and energy pathways.
Examine temporal and spatial variation in trace metal concentrations in the western Arctic through the analysis of Black Guillemot feathers. Temporal trends being examined using study skins collected as early as 1897. Spatial variation examined in conjunction with carbon isotope signatures in feathers and by sampling both winter and summer plumages. Regional climate change monitored through examination of annual variation in breeding chronology and success in relation to snow and ice melt.
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.
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.