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  • 1
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    (Table 2) Abundance of Oncaea spp. and harpacticoid copepods and their potential degradation of fecal pellets during Leg 7 of Galathea 3 cruise (2011)
    PANGAEA
    Details
    Publication Date: 2023-08-28
    Keywords: Calculated after Koski et al. (2005); Event label; Fecal pellets, fractional degradation; Galathea_3/7-1; Galathea_3/7-15; Galathea_3/7-18; Galathea_3/7-23; Galathea_3/7-28; Galathea_3/7-33; Galathea_3/7-8; Galathea 3; Harpacticoida; Harpacticoida, abundance, integrated; HDMS Vaedderen; Indian Ocean; MULT; Multiple investigations; Oncaea spp.; Oncaea spp., abundance, integrated; Station label
    Type: Dataset
    Format: text/tab-separated-values, 63 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 2
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    Occurence data for the non-indigenous jellyfish species Blackfordia virginica in NW Europe from 2010-2017 (2018)
    PANGAEA
    In:  Supplement to: Jaspers, Cornelia; Huwer, Bastian; Weiland-Bräuer, Nancy; Clemmesen, Catriona (2018): First record of the non-indigenous jellyfish Blackfordia virginica (Mayer, 1910) in the Baltic Sea. Helgoland Marine Research, 72(1), https://doi.org/10.1186/s10152-018-0513-7
    Details
    Publication Date: 2023-08-28
    Description: Positions, sampling times and occurence data for the non-indigenous jellyfish species Blackfordia virginica in NW Europe.
    Keywords: 19-13; AL324; AL324_698-1; AL324_699-3; AL324_700-1; AL324_701-3; AL324_702-1; AL324_703-3; AL324_704-1; AL324_705-2; AL324_706-1; AL324_707-2; AL324_708-1; AL324_709-3; AL324_710-1; AL324_713-1; AL324_714-3; AL324_715-1; AL324_716-3; AL324_717-3; AL324_718-1; AL324_719-2; AL324_720-1; AL324_721-2; AL324_722-1; AL324_723-2; AL324_724-1; AL324_725-2; AL324_726-1; AL324_727-2; AL324_728-1; AL324_729-3; AL324_730-1; AL324_731-2; AL324_738-1; AL324_739-2; AL324_740-1; AL324_741-3; AL324_742-1; AL324_743-2; AL324_744-1; AL324_745-2; AL324_746-1; AL324_747-2; AL324_748-1; AL324_749-2; AL324_750-1; AL358; AL358_522-1; AL358_523-2; AL358_524-1; AL358_525-2; AL358_526-1; AL358_527-2; AL358_528-1; AL358_529-2; AL358_530-1; AL358_531-2; AL358_532-1; AL358_533-2; AL358_534-1; AL358_535-2; AL358_535-3; AL358_537-2; AL358_538-1; AL358_539-2; AL358_540-1; AL358_541-2; AL358_546-2; AL358_547-1; AL358_548-2; AL358_549-1; AL358_550-2; AL358_551-1; AL358_552-2; AL358_553-1; AL358_555-2; AL358_556-1; AL358_557-2; AL358_559-2; AL358_560-1; AL358_561-2; AL358_562-1; AL358_563-2; AL358_564-1; AL358_565-2; AL358_570-1; AL358_571-2; AL358_572-1; AL358_573-2; AL358_574-1; AL358_575-2; AL358_576-1; AL421; AL421_481-1; AL421_482-2; AL421_483-1; AL421_484-2; AL421_485-1; AL421_486-2; AL421_487-1; AL421_488-2; AL421_489-1; AL421_490-2; AL421_491-1; AL421_492-2; AL421_493-1; AL421_494-2; AL421_495-1; AL421_496-2; AL421_497-1; AL421_498-1; AL421_499-2; AL421_500-1; AL421_501-2; AL421_502-1; AL421_503-2; AL421_504-1; AL421_505-2; AL421_506-1; AL421_507-1; AL421_508-2; AL421_509-1; AL421_510-2; AL421_511-1; AL421_512-2; AL421_513-1; AL421_514-2; AL421_515-1; AL421_516-2; AL421_517-1; AL421_518-2; AL421_519-1; AL421_519-2; AL421_521-1; AL421_522-2; AL421_523-1; AL421_524-2; AL421_525-1; AL442; AL442_1055-1; AL442_1056-2; AL442_1057-1; AL442_1058-2; AL442_1059-1; AL442_1060-3; AL442_1061-1; AL442_1062-2; AL442_1063-1; AL442_1064-2; AL442_1065-1; AL442_1066-2; AL442_1067-1; AL442_1068-2; AL442_1069-1; AL442_1070-2; AL442_1071-1; AL442_1072-2; AL442_1074-1; AL442_1075-2; AL442_1076-1; AL442_1077-3; AL442_1078-1; AL442_1079-2; AL442_1080-1; AL442_1081-2; AL442_1082-1; AL442_1083-2; AL442_1084-1; AL442_1085-2; AL442_1086-1; AL442_1087-2; AL442_1088-1; AL442_1089-2; AL442_1090-1; AL442_1091-2; AL442_1092-1; AL442_1093-2; AL442_1094-1; AL442_1095-2; AL442_1096-1; AL442_1097-2; AL442_1098-1; AL442_1099-2; AL442_1100-1; AL461; AL461_605-2; AL461_606-1; AL461_607-2; AL461_608-1; AL461_609-2; AL461_610-1; AL461_611-2; AL461_612-1; AL461_613-2; AL461_614-1; AL461_615-2; AL461_616-1; AL461_617-2; AL461_618-1; AL461_619-2; AL461_620-1; AL461_621-2; AL461_622-1; AL461_623-2; AL461_624-1; AL461_625-2; AL461_626-1; AL461_627-2; AL461_628-1; AL461_629-2; AL461_630-1; AL461_631-2; AL461_632-1; AL461_633-2; AL461_634-1; AL461_635-2; AL461_636-1; AL461_637-2; AL461_638-1; AL461_639-2; AL461_640-1; AL461_641-2; AL461_642-1; AL461_643-2; AL461_644-1; AL461_645-2; AL461_646-1; AL461_647-2; AL461_648-1; AL461_649-2; AL499; AL499_10-2; AL499_11-2; AL499_12-2; AL499_1-3; AL499_13-2; AL499_14-2; AL499_15-2; AL499_16-2; AL499_17-2; AL499_18-2; AL499_19-2; AL499_20-2; AL499_2-1; AL499_21-2; AL499_22-2; AL499_23-1; AL499_24-2; AL499_25-1; AL499_26-2; AL499_27-1; AL499_28-2; AL499_29-1; AL499_30-2; AL499_31-1; AL499_3-2; AL499_32-2; AL499_33-1; AL499_34-2; AL499_35-1; AL499_36-2; AL499_37-1; AL499_38-2; AL499_39-1; AL499_40-2; AL499_4-1; AL499_41-1; AL499_42-2; AL499_43-1; AL499_44-2; AL499_45-1; AL499_47-2; AL499_48-1; AL499_49-2; AL499_50-1; AL499_51-2; AL499_5-2; AL499_52-3; AL499_53-1; AL499_54-1; AL499_55-2; AL499_56-1; AL499_57-2; AL499_58-1; AL499_59-2; AL499_60-1; AL499_61-2; AL499_62-1; AL499_6-3; AL499_63-2; AL499_64-2; AL499_65-3; AL499_66-3; AL499_67-2; AL499_68-2; AL499_69-3; AL499_70-2; AL499_7-1; AL499_71-3; AL499_74-2; AL499_75-2; AL499_76-2; AL499_77-1; AL499_78-2; AL499_8-2; AL499_9-2; Alkor (1990); BB01; BB02; BB03; BB04; BB05; BB06; BB07; BB08; BB09; BB10; BB11; BB12; BB13; BB14; BB15; BB16; BB17; BB18; BB19; BB20; BB21; BB22; BB23; BB24; BB25; BB26; BB27; BB28; BB29; BB30; BB31; BB32; BB33; BB34; BB35; BB36; BB37; BB38; BB39; BB40; BB41; BB42; BB43; BB44; BB45; BONGO; Bongo net; Bornholm Basin; BY1; BY15; BY2; BY20A; BY32; BY5; CTD/Rosette; CTD-RO; GB96; GD56; GD57; GD58; GD59; GD59a; GD60; GD60a; GD63; H14; H18; KB03; KB12; Kiel-Canal; Monitoring station; MONS; MSN; MULT; Multiple investigations; Multiple opening/closing net; N1; N2; SW14; SW4; T4; T5; T6; T7; T8
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 3
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    (Table 1) Estimated fecal pellet sinking rate, production, turnover and retention during Leg 7 of Galathea 3 cruise (2011)
    PANGAEA
    Details
    Publication Date: 2023-08-28
    Keywords: Calculated; Event label; Fecal pellet carbon, flux; Galathea_3/7-1; Galathea_3/7-15; Galathea_3/7-18; Galathea_3/7-23; Galathea_3/7-28; Galathea_3/7-33; Galathea_3/7-8; Galathea 3; HDMS Vaedderen; Indian Ocean; MULT; Multiple investigations; Percentage; Sinking velocity; Station label; Turnover rate
    Type: Dataset
    Format: text/tab-separated-values, 45 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 4
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    Occurrence of the non-indigenous jellyfish species Blackfordia virginica in Kiel-Canal from 2010-2017 (2018)
    PANGAEA
    Details
    Publication Date: 2023-08-28
    Keywords: Blackfordia virginica; Comment; Kiel-Canal; Monitoring station; MONS; Month; Salinity; Salinity, standard deviation; Sampling date; Standard deviation; Temperature, water; Temperature, water, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 298 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 5
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    Occurrence of the non-indigenous jellyfish species Blackfordia virginica in the Balitc Sea from 2010-2017 (2018)
    PANGAEA
    Details
    Publication Date: 2023-08-28
    Keywords: 19-13; AL324; AL324_698-1; AL324_699-3; AL324_700-1; AL324_701-3; AL324_702-1; AL324_703-3; AL324_704-1; AL324_705-2; AL324_706-1; AL324_707-2; AL324_708-1; AL324_709-3; AL324_710-1; AL324_713-1; AL324_714-3; AL324_715-1; AL324_716-3; AL324_717-3; AL324_718-1; AL324_719-2; AL324_720-1; AL324_721-2; AL324_722-1; AL324_723-2; AL324_724-1; AL324_725-2; AL324_726-1; AL324_727-2; AL324_728-1; AL324_729-3; AL324_730-1; AL324_731-2; AL324_738-1; AL324_739-2; AL324_740-1; AL324_741-3; AL324_742-1; AL324_743-2; AL324_744-1; AL324_745-2; AL324_746-1; AL324_747-2; AL324_748-1; AL324_749-2; AL324_750-1; AL358; AL358_522-1; AL358_523-2; AL358_524-1; AL358_525-2; AL358_526-1; AL358_527-2; AL358_528-1; AL358_529-2; AL358_530-1; AL358_531-2; AL358_532-1; AL358_533-2; AL358_534-1; AL358_535-2; AL358_535-3; AL358_537-2; AL358_538-1; AL358_539-2; AL358_540-1; AL358_541-2; AL358_546-2; AL358_547-1; AL358_548-2; AL358_549-1; AL358_550-2; AL358_551-1; AL358_552-2; AL358_553-1; AL358_555-2; AL358_556-1; AL358_557-2; AL358_559-2; AL358_560-1; AL358_561-2; AL358_562-1; AL358_563-2; AL358_564-1; AL358_565-2; AL358_570-1; AL358_571-2; AL358_572-1; AL358_573-2; AL358_574-1; AL358_575-2; AL358_576-1; AL421; AL421_481-1; AL421_482-2; AL421_483-1; AL421_484-2; AL421_485-1; AL421_486-2; AL421_487-1; AL421_488-2; AL421_489-1; AL421_490-2; AL421_491-1; AL421_492-2; AL421_493-1; AL421_494-2; AL421_495-1; AL421_496-2; AL421_497-1; AL421_498-1; AL421_499-2; AL421_500-1; AL421_501-2; AL421_502-1; AL421_503-2; AL421_504-1; AL421_505-2; AL421_506-1; AL421_507-1; AL421_508-2; AL421_509-1; AL421_510-2; AL421_511-1; AL421_512-2; AL421_513-1; AL421_514-2; AL421_515-1; AL421_516-2; AL421_517-1; AL421_518-2; AL421_519-1; AL421_519-2; AL421_521-1; AL421_522-2; AL421_523-1; AL421_524-2; AL421_525-1; AL442; AL442_1055-1; AL442_1056-2; AL442_1057-1; AL442_1058-2; AL442_1059-1; AL442_1060-3; AL442_1061-1; AL442_1062-2; AL442_1063-1; AL442_1064-2; AL442_1065-1; AL442_1066-2; AL442_1067-1; AL442_1068-2; AL442_1069-1; AL442_1070-2; AL442_1071-1; AL442_1072-2; AL442_1074-1; AL442_1075-2; AL442_1076-1; AL442_1077-3; AL442_1078-1; AL442_1079-2; AL442_1080-1; AL442_1081-2; AL442_1082-1; AL442_1083-2; AL442_1084-1; AL442_1085-2; AL442_1086-1; AL442_1087-2; AL442_1088-1; AL442_1089-2; AL442_1090-1; AL442_1091-2; AL442_1092-1; AL442_1093-2; AL442_1094-1; AL442_1095-2; AL442_1096-1; AL442_1097-2; AL442_1098-1; AL442_1099-2; AL442_1100-1; AL461; AL461_605-2; AL461_606-1; AL461_607-2; AL461_608-1; AL461_609-2; AL461_610-1; AL461_611-2; AL461_612-1; AL461_613-2; AL461_614-1; AL461_615-2; AL461_616-1; AL461_617-2; AL461_618-1; AL461_619-2; AL461_620-1; AL461_621-2; AL461_622-1; AL461_623-2; AL461_624-1; AL461_625-2; AL461_626-1; AL461_627-2; AL461_628-1; AL461_629-2; AL461_630-1; AL461_631-2; AL461_632-1; AL461_633-2; AL461_634-1; AL461_635-2; AL461_636-1; AL461_637-2; AL461_638-1; AL461_639-2; AL461_640-1; AL461_641-2; AL461_642-1; AL461_643-2; AL461_644-1; AL461_645-2; AL461_646-1; AL461_647-2; AL461_648-1; AL461_649-2; AL499; AL499_10-2; AL499_11-2; AL499_12-2; AL499_1-3; AL499_13-2; AL499_14-2; AL499_15-2; AL499_16-2; AL499_17-2; AL499_18-2; AL499_19-2; AL499_20-2; AL499_2-1; AL499_21-2; AL499_22-2; AL499_23-1; AL499_24-2; AL499_25-1; AL499_26-2; AL499_27-1; AL499_28-2; AL499_29-1; AL499_30-2; AL499_31-1; AL499_3-2; AL499_32-2; AL499_33-1; AL499_34-2; AL499_35-1; AL499_36-2; AL499_37-1; AL499_38-2; AL499_39-1; AL499_40-2; AL499_4-1; AL499_41-1; AL499_42-2; AL499_43-1; AL499_44-2; AL499_45-1; AL499_47-2; AL499_48-1; AL499_49-2; AL499_50-1; AL499_51-2; AL499_5-2; AL499_52-3; AL499_53-1; AL499_54-1; AL499_55-2; AL499_56-1; AL499_57-2; AL499_58-1; AL499_59-2; AL499_60-1; AL499_61-2; AL499_62-1; AL499_6-3; AL499_63-2; AL499_64-2; AL499_65-3; AL499_66-3; AL499_67-2; AL499_68-2; AL499_69-3; AL499_70-2; AL499_7-1; AL499_71-3; AL499_74-2; AL499_75-2; AL499_76-2; AL499_77-1; AL499_78-2; AL499_8-2; AL499_9-2; Alkor (1990); Area/locality; BB01; BB02; BB03; BB04; BB05; BB06; BB07; BB08; BB09; BB10; BB11; BB12; BB13; BB14; BB15; BB16; BB17; BB18; BB19; BB20; BB21; BB22; BB23; BB24; BB25; BB26; BB27; BB28; BB29; BB30; BB31; BB32; BB33; BB34; BB35; BB36; BB37; BB38; BB39; BB40; BB41; BB42; BB43; BB44; BB45; BONGO; Bongo net; Bornholm Basin; BY1; BY15; BY2; BY20A; BY32; BY5; Cruise/expedition; CTD/Rosette; CTD-RO; Event label; GB96; GD56; GD57; GD58; GD59; GD59a; GD60; GD60a; GD63; H14; H18; KB03; KB12; LATITUDE; LONGITUDE; MSN; MULT; Multiple investigations; Multiple opening/closing net; N1; N2; Presence/absence; Sampling date; Species; Station label; SW14; SW4; T4; T5; T6; T7; T8
    Type: Dataset
    Format: text/tab-separated-values, 5280 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 6
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    Mesozooplankton abundance and biomass during Alkor cruise AL544 (WP2 net) (2023)
    PANGAEA
    Details
    Publication Date: 2023-11-22
    Description: A key goal of the AL544 cruise in September 2020 in the Baltic Sea was to enhance our understanding of environmental and zooplankton (especially gelatinous) population fluctuations along an east-west transect. Vertically integrated mesozooplankton abundance and diversity was obtained from plankton net hauls followed by image analysis. Samples were collected using a Hydrobios standard WP2 net (200µm) vertical from bottom to surface. Samples were scanned using an Epson V750 Pro flatbed scanner at 2400dpi, scanned as one size fraction, split sometimes multiple times. Processed using ZooProcess. Image data are available on https://ecotaxa.obs-vlfr.fr/prj/5189 and were sorted into taxonomic categories (examples in AL544_mesozoo_examples.zip). Using the export file (.tsv) individual biomass was calculated based on object area and taxonomic identity according to Lehette and Hernandez-Leon (2009). Abundance and biomass are then aggregated to concentrations (per volume).
    Keywords: Abundance per volume; Acartia; AL544; AL544_15-2; AL544_16-2; AL544_17-3; AL544_18-2; AL544_20-2; AL544_21-3; AL544_22-2; AL544_23-3; AL544_24-2; AL544_25-3; AL544_26-2; AL544_27-3; AL544_28-2; AL544_29-3; AL544_30-2; AL544_31-3; AL544_32-2; AL544_33-3; AL544_34-2; AL544_35-3; AL544_36-2; AL544_37-3; AL544_38-2; AL544_39-3; AL544_40-2; AL544_41-3; AL544_42-2; AL544_43-3; AL544_44-2; AL544_45-3; AL544_46-2; AL544_47-3; AL544_48-2; AL544_49-3; AL544_50-2; AL544_51-3; AL544_52-2; AL544_53-3; AL544_54-2; AL544_64-3; AL544_65-2; AL544_66-3; AL544_67-2; AL544_68-3; AL544_69-2; AL544_70-3; AL544_71-2; AL544_72-3; AL544_73-2; AL544_74-3; Alkor (1990); Appendicularia; Baltic Sea; Bivalvia; Bosmina; Calanoida; Centropages spp.; Chaetognatha; Cladocera; Cnidaria; Copepoda; Counts; Crustacea; Ctenophora; Cypris sp.; DATE/TIME; Depth, top/min; DEPTH, water; Evadne; Evadne spp.; Event label; Gastropoda; LATITUDE; LONGITUDE; Mass per volume; Mesozooplankton, other groups; Nauplii; Oithonidae; Ostracoda; Podon; Podon spp.; Polychaeta; Pseudocalanus sp.; Sample code/label; Station label; Temora spp.; The Little Belt; Tintinnid; Volume, filter; WP2; WP-2 towed closing plankton net; Zoea; Zooplankton abundance; Zooplankton biomass; ZooScan
    Type: Dataset
    Format: text/tab-separated-values, 4300 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 7
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    Ocean current connectivity propelling secondary spread of a marine invasive comb jelly across western Eurasia (2017)
    PANGAEA
    In:  Supplement to: Jaspers, Cornelia; Huwer, Bastian; Antajan, Elvire; Hosia, Aino; Hinrichsen, Hans-Harald; Biastoch, Arne; Angel, Dror; Asmus, Ragnhild; Augustin, Christina B; Bagheri, Siamak; Beggs, Steven E; Balsby, Thorsten J S; Boersma, Maarten; Bonnet, Delphine; Christensen, Jens T; Dänhardt, Andreas; Delpy, Floriane; Falkenhaug, Tone; Finenko, Galina A; Fleming, Nicholas E C; Fuentes, Veronica; Galil, Bella S; Gittenberger, Arjan; Griffin, Donal C; Haslob, Holger; Javidpour, Jamileh; Kamburska, Lyudmila; Kube, S; Langenberg, Victor T; Lehtiniemi, Maiju; Lombard, Fabien; Malzahn, Arne; Marambio, Macarena; Mihneva, Vesselina; Møller, Lene Friis; Niermann, U; Okyar, Melek Isinibilir; Özdemir, Zekiye Birinci; Pitois, Sophie; Reusch, Thorsten B H; Robbens, Johan; Stefanova, Kremena; Thibault, Delphine; van der Veer, H W; Vansteenbrugge, Lies; van Walraven, Lodewijk; Woźniczka, Adam (2018): Ocean current connectivity propelling the secondary spread of a marine invasive comb jelly across western Eurasia. Global Ecology and Biogeography, 27(7), 814-827, https://doi.org/10.1111/geb.12742
    Details
    Publication Date: 2024-03-08
    Description: Based on 12,400 geo‐referenced occurrence data, we reconstruct the invasion history of M. leidyi in western Eurasia. We model ocean currents and calculate their stability to match the temporal and spatial spread dynamics with large‐scale connectivity patterns via ocean currents. Additionally, genetic markers are used to test the predicted connectivity between subpopulations.
    Keywords: Aegean_Sea_M.leidyi; Aegean Sea; Area/locality; Atlantic; Atlantic_M.leidyi; Baltic_Sea_M.leidyi; Baltic Sea; Black_Sea_M.leidyi; Black Sea; Caspian_Sea_M.leidyi; Caspian Sea; Comment; Country; Danish_Fjordsystem_M.leidyi; Danish_Waters_M.leidyi; Danish Fjordsystem; Danish Waters; Geographic name/locality; Irish_Sea_M.leidyi; Irish Sea; LATITUDE; LONGITUDE; Mediterranean_Region_M.leidyi; Mediterranean_Sea_M.leidyi; Mediterranean Region; Mediterranean Sea; MULT; Multiple investigations; Net; NET; North_Sea_M.leidyi; North Sea; Ocean and sea region; Presence/absence; Reference/source; Sampling; Sampling date; Sea_of_Azov_M.leidyi; Sea_of_Marmara_M.leidyi; Sea of Azov; Sea of Marmara; Species; VID; Visual identification; Wadden_Sea_M.leidyi; Wadden Sea
    Type: Dataset
    Format: text/tab-separated-values, 152758 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 8
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    Regeneration of Mnemiopsis leidyi under different food quantities (2017)
    PANGAEA
    In:  Supplement to: Bading, Katharina Tissy; Kaehlert, Sarah; Chi, Xupeng; Jaspers, Cornelia; Martindale, Mark Q; Javidpour, Jamileh (2017): Food availability drives plastic self-repair response in a basal metazoan- case study on the ctenophore Mnemiopsis leidyi A. Agassiz 1865. Scientific Reports, 7(1), https://doi.org/10.1038/s41598-017-16346-w
    Details
    Publication Date: 2024-03-08
    Description: Many marine invertebrates including ctenophores are capable of extensive body regeneration when injured. However, as for the invasive ctenophore Mnemiopsis leidyi, there is a constant subportion of individuals not undergoing whole body regeneration but forming functionally stable half-animals instead. Yet, the driving factors of this phenomenon have not been addressed so far. This study sheds new light on how differences in food availability affect self-repair choice and regeneration success in cydippid larvae of M. leidyi. As expected, high food availability favored whole-body regeneration. However, under low food conditions half-animals became the preferential self-repair mode. Remarkably, both regenerating and half-animals showed very similar survival chances under respective food quantities. As a consequence of impaired food uptake after injury, degeneration of the digestive system would often occur indicating limited energy storage capacities. Taken together, this indicates that half-animals may represent an alternative energy-saving trajectory which implies self-repair plasticity as an adaptive trade-off between high regeneration costs and low energy storage capacities. We conclude that self-repair plasticity could lead to higher population fitness of ctenophores under adverse conditions such as in ships' ballast water tanks which is postulated to be the major vector source for the species' spreading around the globe.
    Keywords: Experiment day; Food; Group; Identification; Investigator; Recovery Mode; Score; Size; Species; Status; Treatment; Treatment: food
    Type: Dataset
    Format: text/tab-separated-values, 10152 data points
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  • 9
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    Unknown
    Copepod abundance and fecal pellet production, sinking rate, and degradation in samples obtained during Leg 7 of Galathea 3 cruise 2006 (2011)
    PANGAEA
    In:  Supplement to: Møller, Eva Friis; Borg, Christian Marc A; Jónasdóttir, Sigrún Huld; Satapoomin, Suree; Jaspers, Cornelia; Nielsen, Torkel Gissel (2011): Production and fate of copepod fecal pellets across the Southern Indian Ocean. Marine Biology, 158(3), 677-688, https://doi.org/10.1007/s00227-010-1591-5
    Details
    Publication Date: 2023-12-13
    Description: The vertical distribution of copepods, fecal pellets and the fecal pellet production of copepods were measured at seven stations across the Southern Indian Ocean from productive areas off South Africa to oligotrophic waters off Northern Australia during October/November 2006. We quantified export of copepod fecal pellet from surface waters and how much was retained. Furthermore, the potential impact of Oncaea spp. and harpacticoid copepods on fecal pellets degradation was evaluated and found to be regional substantial. The highest copepod abundance and fecal pellet production was found in the western nutrient-rich stations close to South Africa and the lowest at the central oligotrophic stations. The in situ copepod fecal pellet production varied between 1 and 1,000 µg C/m**3/day. At all stations, the retention of fecal pellets in the upper 400 m of the water column was more than 99% and the vertical export of fecal pellets was low (〈0.02 mg/m**2/day).
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 10
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    Unknown
    Evidence of extraordinary marine species in the SW Baltic Sea (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: The presence of an extended salinity gradient of the Baltic Sea reveals a variety of species occur at the limit of their physiological tolerance and preference, i.e. in areas and habitats not representing their marine or fresh water origin. Hence, the Baltic Sea is known for its high share of non-indigenous species, which have established. In this study, we compiled extraordinary sightings of transient, non-native or potentially range expanding species, such as jellyfish, squid, fishes and marine mammals in the SW Baltic Sea for a period from 2001 to 2018. We focused on jellyfish, squid, fishes and marine mammals. Hydrographic conditions, such as water temperature and salinity, obtained from a high spatio-temporally resolved hydrodynamic Baltic Sea model, covering a daily resolved 40-year time series were linked to the sightings of these extraordinary species. Our hydrodynamic modelling results demonstarted that changes in the occurrence of exceptional species reflect the dynamics of water mass exchange between the Kattegat/Skagerrak and the SW Baltic Sea. Our analyses show that these changes could be related to the presence of anomalously high saline water masses. This documents that the hydrographically highly dynamic SW Baltic Sea needs special attention for monitoring of non-indigenous species, as high saline and warm water intrusions are more frequent than currently believed and ii) can be linked to sightings of exceptional species in the SW Baltic Sea.
    Keywords: Binary Object; File content
    Type: Dataset
    Format: text/tab-separated-values, 13 data points
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