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  • 1
    In: Fisheries research, Amsterdam [u.a.] : Elsevier Science, 1981, 91(2008), 1, Seite 1-14, 0165-7836
    In: volume:91
    In: year:2008
    In: number:1
    In: pages:1-14
    Type of Medium: Online Resource
    Pages: graph. Darst
    ISSN: 0165-7836
    Language: English
    Location Call Number Limitation Availability
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  • 2
    In: Oceanologia, Sopot : [Verlag nicht ermittelbar], 1971, 50(2008), 2, Seite 205-220, 0078-3234
    In: volume:50
    In: year:2008
    In: number:2
    In: pages:205-220
    Description / Table of Contents: Existing coupled biophysical models for Baltic larval cod drift, growth and survival use idealised constructed mean prey fields of nauplius distributions. These simulations revealed the best feeding conditions for Baltic cod larvae longer than 6 mm. For shorter, first feeding larvae (between 4.5 and 6 mm) pronounced differences in growth and survival were observed, which depend on food availability and to a lesser degree on ambient temperature. We performed runs with an Individual-based Model (IBM) for Baltic cod larvae in order to demonstrate how natural variability in prey abundance influences the survival success of first feeding larvae. In the Baltic, this larval stage lives mainly between 20 and 40 m depth and feeds exclusively on the nauplii of different calanoid copepods (Acartia spp., Pseudocalanus acuspes, Temora longicornis and Centropages hamatus). Prey data obtained from vertically stratified samples in the Bornholm Basin (Baltic Sea) in 2001 and 2002 indicate a strong variability at spatial and temporal scales. We calculated larval survival and growth in relation to natural variation of prey fields, i.e. species-specific nauplius abundance. The results of the model runs yielded larval survival rates from 60 to 100% if the mean size of nauplii species was taken and lower survival if prey consisted of early nauplius stages only.
    Type of Medium: Online Resource
    ISSN: 0078-3234
    Language: English
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  • 3
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    PANGAEA
    In:  IFM-GEOMAR Leibniz-Institute of Marine Sciences, Kiel University
    Publication Date: 2023-03-09
    Keywords: AL236/2; AL236/2_527-CTD_34; Alkor (1990); Bottle number; CTD; CTD/Rosette; CTD-RO; DEPTH, water; Elevation of event; GG04_03b; Global Ocean Ecosystem Dynamics; GLOBEC; Latitude of event; Longitude of event; North Sea; NS0007; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 3 data points
    Location Call Number Limitation Availability
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  • 4
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    PANGAEA
    In:  IFM-GEOMAR Leibniz-Institute of Marine Sciences, Kiel University
    Publication Date: 2023-03-09
    Keywords: AL258; AL258_0-CTD_1; AL258_585-CTD_2; AL258_586-CTD_3; AL258_587-CTD_4; AL258_588-CTD_5; AL258_589-CTD_6; AL258_590-CTD_7; AL258_591-CTD_8; AL258_592-CTD_9; AL258_593-CTD_10; AL258_594-CTD_11; AL258_595-CTD_12; AL258_596-CTD_13; AL258_597-CTD_14; AL258_598-CTD_15; AL258_599-CTD_16; AL258_600-CTD_17; AL258_601-CTD_18; AL258_602-CTD_19; AL258_603-CTD_20; AL258_604-CTD_21; AL258_605-CTD_22; AL258_606-CTD_23; AL258_607-CTD_24; AL258_608-CTD_25; AL258_609-CTD_26; AL258_610-CTD_27; AL258_611-CTD_28; AL258_612-CTD_29; AL258_613-CTD_30; AL258_614-CTD_31; AL258_615-CTD_32; AL258_616-CTD_33; AL258_617-CTD_34; AL258_618-CTD_35; AL258_619-CTD_36; AL258_620-CTD_37; AL258_621-CTD_38; AL258_622-CTD_39; AL258_623-CTD_40; AL258_624-CTD_41; AL258_625-CTD_42; AL258_626-CTD_43; AL258_627-CTD_44; AL258_628-CTD_45; AL258_629-CTD_46; AL258_630-CTD_47; AL258_631-CTD_48; AL258_632-CTD_49; AL258_633-CTD_50; AL258_634-CTD_51; AL258_635-CTD_52; AL258_636-CTD_53; AL258_637-CTD_54; AL258_638-CTD_55; AL258_639-CTD_56; AL258_640-CTD_57; AL258_641-CTD_58; AL258_642-CTD_59; AL258_643-CTD_60; AL258_644-CTD_61; AL258_645-CTD_62; AL258_646-CTD_63; AL258_647-CTD_64; AL258_648-CTD_65; AL258_650-CTD_67; AL258_652-CTD_68; AL258_653-CTD_69; AL258_654-CTD_70; AL258_655-CTD_71; AL258_656-CTD_72; AL258_657-CTD_73; AL258_658-CTD_74; AL258_659-CTD_75; AL258_660-CTD_76; AL258_661-CTD_77; AL258_662-CTD_78; AL258_663-CTD_79; AL258_664-CTD_80; AL258_664-CTD_81; AL258_666-CTD_82; AL258_667-CTD_83; AL258_668-CTD_84; AL258_669-CTD_85; AL258_670-CTD_86; AL258_671-CTD_87; AL258_672-CTD_88; AL258_673-CTD_89; AL258_674-CTD_90; AL258_675-CTD_91; AL258_676-CTD_92; AL258_677-CTD_93; AL258_679-CTD_94; AL258_680-CTD_95; AL258_681-CTD_96; AL258_682-CTD_97; AL258_683-CTD_98; AL258_686-CTD_101; AL258_687-CTD_102; AL258_688-CTD_103; AL258_689-CTD_104; AL258_690-CTD_105; AL258_697-CTD_111; AL258_697-CTD_4; AL258_698-CTD_5; AL258_699-CTD_6; AL258_700-CTD_7; AL258_701-CTD_8; AL258_702-CTD_9; AL258_705-CTD_12; AL258_706-CTD_13; AL258_707-CTD_14; AL258_708-CTD_15; AL258_709-CTD_16; AL258_710-CTD_17; AL258_711-CTD_18; AL258_712-CTD_19; AL258_713-CTD_20; AL258_714-CTD_21; AL258_715-CTD_22; AL258_716-CTD_23; AL258_717-CTD_24; AL258_718-CTD_25; AL258_719-CTD_26; AL258_720-CTD_27; AL258_721-CTD_28; AL258_722-CTD_29; AL258_723-CTD_30; AL258_724-CTD_31; AL258_725-CTD_32; AL258_726-CTD_33; AL258_727-CTD_34; AL258_728-CTD_35; AL258_729-CTD_36; AL258_730-CTD_37; AL258_731-CTD_38; AL258_732-CTD_39; AL258_733-CTD_40; AL258_734-CTD_41; AL258_735-CTD_42; AL258_736-CTD_43; AL258_737-CTD_44; AL258_738-CTD_45; AL258_739-CTD_46; AL258_740-CTD_47; AL258_741-CTD_48; AL258_742-CTD_49; AL258_743-CTD_50; AL258_744-CTD_51; AL258_745-CTD_52; AL258_746-CTD_53; AL258_747-CTD_54; AL258_748-CTD_55; AL258_749-CTD_56; AL258_750-CTD_57; AL258_751-CTD_58; AL258_753-CTD_59; Alkor (1990); Baltic Sea; BB0001; BB0002; BB0003; BB0004; BB0005; BB0006; BB0007; BB0008; BB0009; BB0010; BB0011; BB0012; BB0013; BB0014; BB0015; BB0017; BB0018; BB0019; BB0020; BB0021; BB0022; BB0023; BB0024; BB0025; BB0026; BB0027; BB0028; BB0029; BB0030; BB0031; BB0032; BB0033; BB0034; BB0035; BB0036; BB0037; BB0038; BB0039; BB0040; BB0041; BB0042; BB0043; BB0044; BB0045; BB-T2-S; BB-T3-S; BB-T4-S; CTD; CTD/Rosette; CTD-RO; CTD with attached oxygen sensor; Date/Time of event; DEPTH, water; Elevation of event; Event label; GB0072; GB0073; GB0078; GB0079; GB0080; GB0081; GB0082; GB0082a; GB0083; GB0084; GB0085; GB0086; GB0086a; GB0087; GB0088; GB0089; GB0090; GB0090a; GB0091; GB0092; GB0093; GB0094; GB0095; GB0096; GB0097; GB0098; GB0099; GB0100; GB0101; GB0102; GB0102a; GB0103a; GB0104b; GB0105; GB0106a; GB0107; GB0108; GB0109; GB0110; GB0111; GD0057; GD0058; GD0059; GD0059a; GD0060; GD0060a; GD0063; GD0065; GD0069; GD0070; GG05_06; Global Ocean Ecosystem Dynamics; GLOBEC; H41; H42; H43; H44; H45; H46; H47; H48; H49; H50; H51; H52; H53; H54; H55; H56; H57; H58; H59; H60; H61; H62; H63; H64; H65; H66; H67; H68; H69; H70; H71; H72; H73; H74; H75; H76; H77; H78; H79; Latitude of event; Longitude of event; Oxygen; Pressure, water; Salinity; SF0046; SF0047; SF0048; SF0049; SF0052; SF0053; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 45292 data points
    Location Call Number Limitation Availability
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  • 5
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    PANGAEA
    In:  IFM-GEOMAR Leibniz-Institute of Marine Sciences, Kiel University
    Publication Date: 2023-03-09
    Keywords: AL236/2; AL236/2_387-CTD_56; AL236/2_389-CTD_57; AL236/2_390-CTD_58; AL236/2_391-CTD_59; AL236/2_392-CTD_60; AL236/2_393-CTD_61; AL236/2_394-CTD_62; AL236/2_395-CTD_63; AL236/2_398-CTD_64; AL236/2_399-CTD_65; AL236/2_401-CTD_66; AL236/2_403-CTD_67; AL236/2_405-CTD_68; AL236/2_406-CTD_69; AL236/2_408-CTD_70; AL236/2_409-CTD_71; AL236/2_411-CTD_72; AL236/2_413-CTD_73; AL236/2_414-CTD_74; AL236/2_416-CTD_75; AL236/2_418-CTD_76; AL236/2_419-CTD_77; AL236/2_421-CTD_78; AL236/2_422-CTD_79; AL236/2_424-CTD_80; AL236/2_425-CTD_81; AL236/2_427-CTD_82; AL236/2_429-CTD_83; AL236/2_432-CTD_84; AL236/2_433-CTD_85; AL236/2_435-CTD_86; AL236/2_436-CTD_87; AL236/2_438-CTD_88; AL236/2_439-CTD_89; AL236/2_440-CTD_90; AL236/2_443-CTD_91; AL236/2_445-CTD_92; AL236/2_446-CTD_93; AL236/2_448-CTD_94; AL236/2_450-CTD_95; AL236/2_451-CTD_96; AL236/2_452-CTD_97; AL236/2_454-CTD_98; AL236/2_455-CTD_99; AL236/2_456-CTD_100; AL236/2_457-CTD_101; AL236/2_459-CTD_102; AL236/2_460-CTD_103; AL236/2_461-CTD_104; AL236/2_463-CTD_105; AL236/2_465-CTD_106; AL236/2_467-CTD_107; AL236/2_468-CTD_108; AL236/2_470-CTD_109; AL236/2_471-CTD_110; AL236/2_472-CTD_111; AL236/2_474-CTD_112; AL236/2_475-CTD_113; AL236/2_477-CTD_114; AL236/2_477-CTD_115; AL236/2_478-CTD_116; AL236/2_479-CTD_117; AL236/2_481-CTD_118; AL236/2_482-CTD_119; AL236/2_484-CTD_120; AL236/2_487-CTD_122; AL236/2_488-CTD_123; AL236/2_490-CTD_124; AL236/2_491-CTD_125; AL236/2_492-CTD_126; AL236/2_493-CTD_127; AL236/2_495-CTD_128; AL236/2_497-CTD_129; AL236/2_498-CTD_130; AL236/2_500-CTD_131; AL236/2_501-CTD_132; AL236/2_504-CTD_133; AL236/2_506-CTD_134; AL236/2_507-CTD_135; AL236/2_508-CTD_136; AL236/2_509-CTD_137; AL236/2_511-CTD_138; AL236/2_512-CTD_139; AL236/2_514-CTD_140; AL236/2_515-CTD_141; AL236/2_517-CTD_142; AL236/2_518-CTD_143; AL236/2_520-CTD_144; AL236/2_521-CTD_145; AL236/2_522-CTD_146; AL236/2_523-CTD_147; AL236/2_524-CTD_148; AL236/2_525-CTD_149; AL236/2_526-CTD_150; AL236/2_527-CTD_151; AL236/2_528-CTD_152; AL236/2_529-CTD_153; AL236/2_530-CTD_154; AL236/2_531-CTD_155; AL236/2_532-CTD_156; AL236/2_533-CTD_157; AL236/2_534-CTD_158; AL236/2_535-CTD_159; AL236/2_536-CTD_160; AL236/2_537-CTD_161; AL236/2_538-CTD_162; AL236/2_539-CTD_163; AL236/2_540-CTD_164; AL236/2_541-CTD_165; AL236/2_542-CTD_166; AL236/2_543-CTD_167; AL236/2_544-CTD_168; AL236/2_546-CTD_169; AL236/2_548-CTD_170; AL236/2_549-CTD_171; AL236/2_551-CTD_172; AL236/2_552-CTD_173; AL236/2_553-CTD_174; AL236/2_555-CTD_175; AL236/2_556-CTD_176; AL236/2_558-CTD_177; AL236/2_560-CTD_179; AL236/2_563-CTD_180; Alkor (1990); Calculated; CTD; CTD/Rosette; CTD-RO; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Elevation of event; Event label; GG04_03b; Global Ocean Ecosystem Dynamics; GLOBEC; Latitude of event; Longitude of event; North Sea; NS0001; NS0002; NS0003; NS0004; NS0005; NS0006; NS0007; NS0008; NS0009; NS0010; NS0011; NS0012; NS0013; NS0014; NS0015; NS0016; NS0017; NS0018; NS0019; NS0020; NS0021; NS0022; NS0023; Pressure, water; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 55756 data points
    Location Call Number Limitation Availability
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  • 6
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    PANGAEA
    In:  IFM-GEOMAR Leibniz-Institute of Marine Sciences, Kiel University
    Publication Date: 2023-03-09
    Keywords: AL258; AL258_646-CTD_2; AL258_664-CTD_3; AL258_729-CTD_36; Alkor (1990); Baltic Sea; BB0015; BB0035; Bottle number; CTD; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; GB0096; GG05_06; Global Ocean Ecosystem Dynamics; GLOBEC; Latitude of event; Longitude of event; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); Oxygen saturation; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
    Location Call Number Limitation Availability
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  • 7
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    PANGAEA
    In:  Supplement to: Quaas, Martin; Reusch, Thorsten B H; Schmidt, Jörn O; Tahvonen, Olli; Voss, Rüdiger (2016): It is the economy, stupid! Projecting the fate of fish populations using ecological-economic modeling. Global Change Biology, 22(1), 264-270, https://doi.org/10.1111/gcb.13060
    Publication Date: 2023-02-24
    Description: Four marine fish species are among the most important on the world market: cod, salmon, tuna, and sea bass. While the supply of North American and European markets for two of these species - Atlantic salmon and European sea bass - mainly comes from fish farming, Atlantic cod and tunas are mainly caught from wild stocks. We address the question what will be the status of these wild stocks in the midterm future, in the year 2048, to be specific. Whereas the effects of climate change and ecological driving forces on fish stocks have already gained much attention, our prime interest is in studying the effects of changing economic drivers, as well as the impact of variable management effectiveness. Using a process-based ecological-economic multispecies optimization model, we assess the future stock status under different scenarios of change. We simulate (i) technological progress in fishing, (ii) increasing demand for fish, and (iii) increasing supply of farmed fish, as well as the interplay of these driving forces under different sce- narios of (limited) fishery management effectiveness. We find that economic change has a substantial effect on fish populations. Increasing aquaculture production can dampen the fishing pressure on wild stocks, but this effect is likely to be overwhelmed by increasing demand and technological progress, both increasing fishing pressure. The only solution to avoid collapse of the majority of stocks is institutional change to improve management effectiveness significantly above the current state. We conclude that full recognition of economic drivers of change will be needed to successfully develop an integrated ecosystem management and to sustain the wild fish stocks until 2048 and beyond.
    Keywords: BIOACID; Biological Impacts of Ocean Acidification
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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  • 8
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    PANGAEA
    In:  IFM-GEOMAR Leibniz-Institute of Marine Sciences, Kiel University
    Publication Date: 2023-07-10
    Keywords: Acarina; Acartia bifilosa; Acartia bifilosa, c1; Acartia bifilosa, c2; Acartia bifilosa, c3; Acartia bifilosa, c4; Acartia bifilosa, c5; Acartia bifilosa, female; Acartia bifilosa, male; Acartia clausi, c1; Acartia clausi, c2; Acartia clausi, c3; Acartia clausi, c4; Acartia clausi, c5; Acartia clausi, female; Acartia clausi, male; Acartia discaudata; Acartia longiremis; Acartia longiremis, c1; Acartia longiremis, c2; Acartia longiremis, c3; Acartia longiremis, c4; Acartia longiremis, c5; Acartia longiremis, female; Acartia longiremis, male; Acartia spp.; Acartia spp., nauplii; Acartia tonsa, c2; Acartia tonsa, c3; Acartia tonsa, c4; Acartia tonsa, c5; Acartia tonsa, female; Acartia tonsa, male; AL236/2; AL236/2_539-BONGO_72; Alkor (1990); Anomura; Appendicularia; Balanidae, cypris; Balanidae, nauplii; Bivalvia; Bivalvia, larvae; BONGO; Bongo net; Bosmina coregoni maritima; Brachyura; Bryozoa; Calanoides; Calanus finmarchicus; Calanus finmarchicus, c1; Calanus finmarchicus, c2; Calanus finmarchicus, c3; Calanus finmarchicus, c4; Calanus finmarchicus, c5; Calanus finmarchicus, female; Calanus finmarchicus, male; Candacia spp.; Caridea; Centropages hamatus; Centropages hamatus, c1; Centropages hamatus, c2; Centropages hamatus, c3; Centropages hamatus, c4; Centropages hamatus, c5; Centropages hamatus, female; Centropages hamatus, male; Centropages hamatus, nauplii; Centropages spp.; Centropages typicus; Centropages typicus, c1; Centropages typicus, c2; Centropages typicus, c3; Centropages typicus, c4; Centropages typicus, c5; Centropages typicus, female; Centropages typicus, male; Chaetognatha; Chordata; Cladocera; Coelenterata; Copepoda; Copepoda, eggs; Copepoda, egg sac; Copepoda, nauplii; Crangon allmanni, I-II; Crangon allmanni, III-IV; Crangon allmanni, V-VI; Crangon crangon, I-II; Crangon crangon, III-IV; Crangon crangon, V-VI; Crangonidae; Crangon spp., I-II; Crangon spp., V-VI; Ctenophora; Cumacea; Cyclopoida; DATE/TIME; Decapoda; Depth, bathymetric; Depth, bottom/max; Depth, top/min; DEPTH, water; Duration; Echinodermata; Euphausiacea; Eurytemora hirundoides, c3; Eurytemora hirundoides, c4; Eurytemora hirundoides, c5; Eurytemora hirundoides, female; Eurytemora hirundoides, male; Eurytemora spp.; Eurytemora spp., c1; Eurytemora spp., c2; Eurytemora spp., c3; Eurytemora spp., c4; Eurytemora spp., c5; Eurytemora spp., female; Eurytemora spp., male; Eurytemora spp., nauplii; Evadne nordmanni; Evadne spp.; Foraminifera, planktic; Fritillaria borealis; Fritillaria spp.; Gammaridae; Gastropoda; Gastropoda, larvae; GG04_03b; Global Ocean Ecosystem Dynamics; GLOBEC; Harpacticoida; Hydrozoa; Hyperiidae; Invertebrata, eggs; Invertebrata, larvae; Isias clavipes; Isopoda; LATITUDE; LONGITUDE; Metridia spp.; Microcalanus spp.; Mysidacea; Nematoda; Nemertea, larvae; North Sea; NS0015; Oikopleura spp.; Oithona similis; Oithona similis, c1; Oithona similis, c2; Oithona similis, c3; Oithona similis, c4; Oithona similis, c5; Oithona similis, female; Oithona similis, male; Oithona spp.; Oithona spp., c1; Oithona spp., c2; Oithona spp., c3; Oithona spp., c4; Oithona spp., c5; Oithona spp., female; Oithona spp., male; Ostracoda; Paguridae; Paracalanus parvus, c3; Paracalanus parvus, c4; Paracalanus parvus, c5; Paracalanus spp.; Paracalanus spp., c1; Paracalanus spp., c2; Paracalanus spp., c3; Paracalanus spp., c4; Paracalanus spp., c5; Paracalanus spp., female; Paracalanus spp., male; Penilia avirostris; Phoronida; Phyllopus spp.; Pisces, eggs; Pisces, larvae; Platyhelminthes; Podon, juvenile; Podon intermedius; Podon leucartii; Podon spp.; Polychaeta; Polychaeta, larvae; Pontellidae; Porcellanidae; Pseudocalanus spp.; Pseudocalanus spp., c1; Pseudocalanus spp., c2; Pseudocalanus spp., c3; Pseudocalanus spp., c4; Pseudocalanus spp., c5; Pseudocalanus spp., female; Pseudocalanus spp., male; Pseudocalanus spp., nauplii; Rotatoria; Rotatoria, eggs; Rotifera-Synchaeta; Sagitta spp.; Sample code/label; Siphonophora; Temora longicornis; Temora longicornis, c1; Temora longicornis, c2; Temora longicornis, c3; Temora longicornis, c4; Temora longicornis, c5; Temora longicornis, female; Temora longicornis, male; Temora longicornis, nauplii; Thaliacea; Thecosomata; Tomopteris spp.; Trochophora; Wire length; Zooplankton, gelatinous; Zooplankton indeterminata
    Type: Dataset
    Format: text/tab-separated-values, 210 data points
    Location Call Number Limitation Availability
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  • 9
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2024-03-13
    Keywords: Calculated; Course; CT; DATE/TIME; English Channel; HE265; HE265-track; Heincke; LATITUDE; LONGITUDE; Speed; Underway cruise track measurements
    Type: Dataset
    Format: text/tab-separated-values, 4606 data points
    Location Call Number Limitation Availability
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  • 10
    Publication Date: 2018-02-27
    Description: Cod and sprat are the dominant fish species in the Baltic pelagic ecosystem, both of great economic importance and ecologically strongly interlinked. Management of both species is challenged by highly variable recruitment success. Recent studies have identified predation and hydrographic conditions during the egg phase to be of critical importance. Two years of extensive field investigations in the Bornholm Basin, central Baltic Sea, were undertaken. In 2002, a typical stagnation situation characterized by low salinity and poor oxygen conditions was investigated, and in early 2003, a major inflow of North Sea water completely changed the hydrographic conditions by increasing salinity and oxygen content, thereby altering ecological conditions. The goal was to quantify egg mortality caused by predation and hydrography, and to compare these estimates with independent estimates based on cohort analysis. Results indicated high intra-annual variability in egg mortality. Cod and sprat egg mortality responded differently to the major Baltic inflow: mortality related to hydrographic conditions increased for sprat and decreased for cod. On the other hand, predation mortality during peak spawning decreased for sprat and increased for cod.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
    Format: text
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