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  • Comment; DATE/TIME; epibiota; Event label; floating marine debris; Image; LATITUDE; LITTER; Litter Survey; LONGITUDE; Maria S. Merian; MSM41; MSM41_litter-A; MSM41_litter-B; MSM41_litter-C; MSM41_litter-D; MSM41_litter-E; MSM41_litter-F; MSM41_litter-G; MSM41_litter-G1; MSM41_litter-H; MSM41_litter-I; MSM41_litter-J; MSM41_litter-K; MSM41_litter-M; MSM41_litter-N; MSM41_litter-O; MSM41_litter-P; MSM41_litter-Q; MSM41_litter-S; MSM41_litter-T; MSM41_litter-U; MSM41_litter-V; Near infrared spectroscopy; pollution; Polymer; rafting; Sample ID; Sample mass; Sargasso Sea; Sargassum, wet mass; Sargassum community; Sargassum fluitans; Sargassum fluitans, wet mass; Sargassum indeterminata; Sargassum indeterminata, wet mass; Sargassum natans; Sargassum natans, wet mass; South Atlantic Ocean; Station label; Substrate type; Substratum; Surface area  (1)
  • extinction  (1)
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  • 1
    Publication Date: 2024-04-20
    Description: Clumps of pelagic Sargassum as well as floating marine debris were collected during cruise MSM41 of the German research vessel Maria S. Merian in the Sargasso Sea (subtropical NW Atlantic) in April 2015. Samples were taken with a dip net (mesh size: 1 mm) from the rescue boat of the research vessel at 19 stations distributed in coordination with the other sampling activities of the cruise. Few, mostly larger, debris samples were taken from aboard the research vessel using a dip net with a mesh size of 9 cm. The exact sampling position of each floating item was recorded by a handheld GPS. In total, 42 Sargassum samples and 41 samples of marine debris were collected. On board the vessel, the Sargassum samples were analyzed for their species composition (Sargassum natans, Sargassum fluitans, indeterminable small fragments). Each fraction was weighed (wet weight) after the algae had been blotted on tissue paper to remove adherent seawater. The type of each debris sample was determined and the sizes of the debris samples were measured. Small objects were preserved in buffered seawater-formalin solution for later analysis of the associated biota. Small sub-samples have been taken from samples, which were too large to be preserved in total. Polymer compositions of the plastic debris samples were analyzed by Near Infrared Spectroscopy.
    Keywords: Comment; DATE/TIME; epibiota; Event label; floating marine debris; Image; LATITUDE; LITTER; Litter Survey; LONGITUDE; Maria S. Merian; MSM41; MSM41_litter-A; MSM41_litter-B; MSM41_litter-C; MSM41_litter-D; MSM41_litter-E; MSM41_litter-F; MSM41_litter-G; MSM41_litter-G1; MSM41_litter-H; MSM41_litter-I; MSM41_litter-J; MSM41_litter-K; MSM41_litter-M; MSM41_litter-N; MSM41_litter-O; MSM41_litter-P; MSM41_litter-Q; MSM41_litter-S; MSM41_litter-T; MSM41_litter-U; MSM41_litter-V; Near infrared spectroscopy; pollution; Polymer; rafting; Sample ID; Sample mass; Sargasso Sea; Sargassum, wet mass; Sargassum community; Sargassum fluitans; Sargassum fluitans, wet mass; Sargassum indeterminata; Sargassum indeterminata, wet mass; Sargassum natans; Sargassum natans, wet mass; South Atlantic Ocean; Station label; Substrate type; Substratum; Surface area
    Type: Dataset
    Format: text/tab-separated-values, 855 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2021-12-01
    Description: We studied the role of oceanographic conditions and life history strategies on recovery after extinction in a metapopulation of marine organisms dispersing as pelagic larvae. We combined an age-structured model with scenarios defined by realistic oceanographic conditions and species distribution along the Irish Sea coast (North Europe). Species life history strategies were modeled combining the dispersal behaviors with two levels of fecundity. Recovery times were quantified after simulating extinction in four regions. Two alternative strategies (high fecundity or larval tidal transport) led to short recovery times, irrespective of the effects of other drivers. Other strategies and low larval survival exacerbated the effects of oceanographic conditions on recovery times: longer times were associated with for example the presence of frontal zones isolating regions of extinction. Recovery times were well explained by the connectivity of each focal population with those located outside the area of extinction (which was higher in the so-called small world topologies), but not by subsidies (direct connections with populations located nearby). Our work highlights the complexities involved in population recovery: specific trait combinations may blur the effects of the habitat matrix on recovery times; K-strategists (i.e., with low fecundities) may achieve quick recovery if they possess the appropriate dispersal traits. High larval mortality can exacerbate the effect of oceanographic conditions and lead to heterogeneity in recovery times. Overall, processes driving whole network topologies rather than conditions surrounding local populations are the key to understand patterns of recovery.
    Keywords: 577.7 ; marine organism ; extinction ; recovery patterns ; simulation ; effects of oceanographic conditions
    Language: English
    Type: map
    Location Call Number Limitation Availability
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