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  • PANGAEA  (24)
  • Bremerhaven : Alfred-Wegener-Inst. für Polar- und Meeresforschung  (2)
  • Geophysical Research Abstracts Vol. 20, EGU2018-19122, 2018  (1)
  • 2015-2019  (24)
  • 2000-2004  (3)
Document type
Keywords
Publisher
Language
Years
Year
  • 1
    Keywords: Biogeography Antarctica ; Biodiversity Antarctica ; Evolution (Biology) Antarctica ; Benthos Antarctica ; Antarktis ; Polarstern
    Type of Medium: Book
    Pages: IV, 120 S. , Ill., graph. Darst., Kt.
    Series Statement: Berichte zur Polar- und Meeresforschung 462
    DDC: 591.9989
    RVK:
    Language: English
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  • 2
    Keywords: Oceanography Antarctic Ocean ; Antarktis ; Expedition ; Polarstern ; Fahrtbericht ; Antarktisforschung ; Expedition ; Polarstern
    Type of Medium: Book
    Pages: IV, 181 S. , Ill., graph. Darst.
    Series Statement: Berichte zur Polar- und Meeresforschung 402
    RVK:
    Language: English
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  • 3
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    Unknown
    PANGAEA
    In:  Supplement to: Brey, Thomas (2012): A multi-parameter artificial neural network model to estimate macrobenthic invertebrate productivity and production. Limnology and Oceanography-Methods, 10, 581-589, https://doi.org/10.4319/lom.2012.10.581
    Publication Date: 2023-01-13
    Description: I developed a new model for estimating annual production-to-biomass ratio P/B and production P of macrobenthic populations in marine and freshwater habitats. Self-learning artificial neural networks (ANN) were used to model the relationships between P/B and twenty easy-to-measure abiotic and biotic parameters in 1252 data sets of population production. Based on log-transformed data, the final predictive model estimates log(P/B) with reasonable accuracy and precision (r2 = 0.801; residual mean square RMS = 0.083). Body mass and water temperature contributed most to the explanatory power of the model. However, as with all least squares models using nonlinearly transformed data, back-transformation to natural scale introduces a bias in the model predictions, i.e., an underestimation of P/B (and P). When estimating production of assemblages of populations by adding up population estimates, accuracy decreases but precision increases with the number of populations in the assemblage.
    Type: Dataset
    Format: application/zip, 187.7 kBytes
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  • 4
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    PANGAEA
    In:  Supplement to: Degen, Renate; Jørgensen, Lis Lindal; Ljubin, Pavel; Ellingsen, Ingrid H; Pehlke, Hendrik; Brey, Thomas (2016): Patterns and drivers of megabenthic secondary production on the Barents Sea shelf. Marine Ecology Progress Series, 546, 1-16, https://doi.org/10.3354/meps11662
    Publication Date: 2023-03-02
    Description: Megabenthos plays a major role in the overall energy flow on Arctic shelves, but information on megabenthic secondary production on large spatial scales is scarce. Here, we estimated for the first time megabenthic secondary production for the entire Barents Sea shelf by applying a species-based empirical model to an extensive dataset from the joint Norwegian- Russian ecosystem survey. Spatial patterns and relationships were analyzed within a GIS. The environmental drivers behind the observed production pattern were identified by applying an ordinary least squares regression model. Geographically weighted regression (GWR) was used to examine the varying relationship of secondary production and the environment on a shelfwide scale. Significantly higher megabenthic secondary production was found in the northeastern, seasonally ice-covered regions of the Barents Sea than in the permanently ice-free southwest. The environmental parameters that significantly relate to the observed pattern are bottom temperature and salinity, sea ice cover, new primary production, trawling pressure, and bottom current speed. The GWR proved to be a versatile tool for analyzing the regionally varying relationships of benthic secondary production and its environmental drivers (R² = 0.73). The observed pattern indicates tight pelagic- benthic coupling in the realm of the productive marginal ice zone. Ongoing decrease of winter sea ice extent and the associated poleward movement of the seasonal ice edge point towards a distinct decline of benthic secondary production in the northeastern Barents Sea in the future.
    Keywords: 2008-GS-140; 2008-GS-144; 2008-GS-147; 2008-GS-151; 2008-GS-152; 2008-GS-175; 2008-GS-178; 2008-GS-183; 2008-GS-186; 2008-GS-190; 2008-GS-193; 2008-GS-194; 2008-GS-196; 2008-GS-199; 2008-GS-200; 2008-GS-260; 2008-GS-285; 2008-GS-286; 2008-GS-311; 2008-GS-312; 2008-GS-313; 2008-GS-314; 2008-GS-315; 2008-GS-318; 2008-GS-319; 2008-GS-320; 2008-GS-321; 2008-GS-322; 2008-GS-323; 2008-GS-324; 2008-GS-325; 2008-GS-326; 2008-GS-327; 2008-GS-328; 2008-GS-329; 2008-GS-330; 2008-GS-331; 2008-GS-332; 2008-GS-333; 2008-GS-334; 2008-GS-335; 2008-GS-336; 2008-JH-322; 2008-JH-323; 2008-JH-324; 2008-JH-325; 2008-JH-326; 2008-JH-327; 2008-JH-328; 2008-JH-383; 2008-JH-386; 2008-JH-391; 2008-JH-393; 2008-JH-394; 2008-JH-398; 2008-JH-401; 2008-JH-402; 2008-JH-403; 2008-JH-410; 2008-JH-411; 2008-JH-414; 2008-JH-418; 2008-VY-003; 2008-VY-006; 2008-VY-008; 2008-VY-010; 2008-VY-012; 2008-VY-014; 2008-VY-016; 2008-VY-018; 2008-VY-020; 2008-VY-022; 2008-VY-024; 2008-VY-026; 2008-VY-028; 2008-VY-033; 2008-VY-035; 2008-VY-037; 2008-VY-039; 2008-VY-041; 2008-VY-043; 2008-VY-045; 2008-VY-047; 2008-VY-049; 2008-VY-051; 2008-VY-053; 2008-VY-055; 2008-VY-057; 2008-VY-059; 2008-VY-061; 2008-VY-063; 2008-VY-065; 2008-VY-067; 2008-VY-069; 2008-VY-071; 2008-VY-073; 2008-VY-075; 2008-VY-076; 2008-VY-077; 2008-VY-078; 2008-VY-079; 2008-VY-081; 2008-VY-082; 2008-VY-083; 2008-VY-085; 2008-VY-087; 2008-VY-089; 2008-VY-091; 2008-VY-093; 2008-VY-095; 2008-VY-097; 2008-VY-099; 2008-VY-101; 2008-VY-103; 2008-VY-105; 2008-VY-107; 2008-VY-109; 2008-VY-111; 2008-VY-113; 2008-VY-114; 2008-VY-116; 2008-VY-118; 2008-VY-120; 2008-VY-123; 2008-VY-126; 2008-VY-128; 2008-VY-130; 2008-VY-132; 2008-VY-134; 2008-VY-136; 2008-VY-138; 2008-VY-140; 2008-VY-142; 2008-VY-144; 2008-VY-146; 2008-VY-148; 2008-VY-153; 2008-VY-155; 2008-VY-157; 2008-VY-158; 2008-VY-160; 2008-VY-162; 2008-VY-164; 2008-VY-166; 2008-VY-168; 2008-VY-170; 2008-VY-172; 2008-VY-174; 2008-VY-176; 2008-VY-178; 2008-VY-180; 2008-VY-182; 2008-VY-184; 2008-VY-186; 2008-VY-188; 2008-VY-190; 2008-VY-192; 2008-VY-194; 2008-VY-196; 2008-VY-198; 2008-VY-200; 2008-VY-202; 2008-VY-204; 2008-VY-206; 2008-VY-208; 2008-VY-210; 2008-VY-212; 2008-VY-214; 2008-VY-216; 2008-VY-218; 2008-VY-220; 2008-VY-222; 2008-VY-224; 2008-VY-226; 2008-VY-228; 2008-VY-229; 2008-VY-232; 2008-VY-234; 2008-VY-236; 2008-VY-238; 2008-VY-240; 2008-VY-243; 2008-VY-244; 2008-VY-245; 2008-VY-246; 2008-VY-248; 2008-VY-251; 2008-VY-253; 2008-VY-254; 2008-VY-255; 2008-VY-256; 2008-VY-257; 2008-VY-258; 2008-VY-259; 2008-VY-260; 2008-VY-261; 2008-VY-262; 2008-VY-264; 2008-VY-265; 2008-VY-267; 2008-VY-268; 2008-VY-269; 2008-VY-271; 2008-VY-272; 2008-VY-273; 2008-VY-275; 2008-VY-277; 2008-VY-278; 2008-VY-279; 2008-VY-280; 2008-VY-281; 2008-VY-282; 2008-VY-283; 2008-VY-284; 2008-VY-285; 2008-VY-288; 2008-VY-290; 2008-VY-291; 2008-VY-292; 2008-VY-293; 2008-VY-294; 2008-VY-296; 2009-GS-142; 2009-GS-143; 2009-GS-146; 2009-GS-154; 2009-GS-155; 2009-GS-158; 2009-GS-159; 2009-GS-162; 2009-GS-163; 2009-GS-166; 2009-GS-167; 2009-GS-170; 2009-GS-171; 2009-GS-174; 2009-GS-175; 2009-GS-178; 2009-GS-179; 2009-GS-182; 2009-GS-184; 2009-GS-187; 2009-GS-188; 2009-GS-191; 2009-GS-192; 2009-GS-195; 2009-GS-196; 2009-GS-203; 2009-GS-204; 2009-GS-207; 2009-GS-208; 2009-GS-211; 2009-JH-282; 2009-JH-284; 2009-JH-286; 2009-JH-288; 2009-JH-290; 2009-JH-292; 2009-JH-294; 2009-JH-296; 2009-JH-298; 2009-JH-305; 2009-JH-307; 2009-JH-311; 2009-JH-313; 2009-JH-318; 2009-JH-325; 2009-JH-327; 2009-JH-333; 2009-JH-335; 2009-JH-337; 2009-JH-339; 2009-JH-341; 2009-JH-345; 2009-JH-347; 2009-JH-350; 2009-JH-353; 2009-JH-356; 2009-JH-362; 2009-JH-365; 2009-JH-368; 2009-JH-371; 2009-JH-373; 2009-JH-375; 2009-JH-377; 2009-JH-379; 2009-JH-383; 2009-JH-385; 2009-JH-390; 2009-JH-392; 2009-JH-395; 2009-JH-398; 2009-JH-400; 2009-JH-403; 2009-JH-405; 2009-JH-407; 2009-JH-410; 2009-JH-412; 2009-JH-417; 2009-JH-422; 2009-JH-424; 2009-JH-427; 2009-JH-429; 2009-JH-431; 2009-JH-433; 2009-JH-436; 2009-JH-438; 2009-JH-442; 2009-JH-445; 2009-JH-447; 2009-JH-449; 2009-JH-452; 2009-JH-454; 2009-JH-456; 2009-JH-461; 2009-JH-463; 2009-JH-465; 2009-JH-468; 2009-JH-470; 2009-JH-472; 2009-JH-475; 2009-JH-478; 2009-JH-480; 2009-JH-482; 2009-JH-484; 2009-JH-486; 2009-JH-488; 2009-JH-490; 2009-JH-492; 2009-JH-494; 2009-JH-496; 2009-JH-497; 2009-JH-500; 2009-JH-502; 2009-JH-504; 2009-JH-506; 2009-JM-491; 2009-JM-495; 2009-JM-497; 2009-JM-499; 2009-JM-506; 2009-JM-509; 2009-JM-519; 2009-JM-522; 2009-JM-527; 2009-JM-528; 2009-JM-532; 2009-JM-541; 2009-JM-543; 2009-JM-544; 2009-JM-549; 2009-JM-550; 2009-JM-555; 2009-JM-557; 2009-JM-559; 2009-JM-560; 2009-JM-561; 2009-JM-563; 2009-JM-565; 2009-JM-566; 2009-JM-568; 2009-JM-572; 2009-JM-574; 2009-JM-578; 2009-JM-582; 2009-JM-586; 2009-JM-587; 2009-JM-590; 2009-JM-592; 2009-JM-595; 2009-JM-599; 2009-JM-602; 2009-JM-604; 2009-JM-607; 2009-JM-609; 2009-JM-611; 2009-JM-613; 2009-JM-615; 2009-JM-617; 2009-VY-01; 2009-VY-02; 2009-VY-03; 2009-VY-04; 2009-VY-05; 2009-VY-06; 2009-VY-07; 2009-VY-08; 2009-VY-09; 2009-VY-10; 2009-VY-11; 2009-VY-12; 2009-VY-13; 2009-VY-14; 2009-VY-15; 2009-VY-16; 2009-VY-18; 2009-VY-19; 2009-VY-20; 58GS2008; 58GS2009; 58JH2008; 58JH2009; 58JM2009; 90VY2008; 90VY2009; Arctic Ocean; Barents Sea; Basis of event; Campaign of event; Date/Time of event; Event label; G. O. Sars (2003); Jan Mayen; Johan Hjort (1990); Kara Sea; Latitude of event; Location of event; Longitude of event; North Greenland Sea; Norwegian Sea; Secondary production as carbon; Vilnyus
    Type: Dataset
    Format: text/tab-separated-values, 398 data points
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2024-03-01
    Keywords: AWI_BPP; Bentho-Pelagic Processes @ AWI; Brandal; Comment; Kongsfjorden, Spitsbergen, Arctic; Mass spectrometer, Finnigan, MAT 253; MULT; Multiple investigations; ORDINAL NUMBER; Serripes groenlandicus, δ13C; Serripes groenlandicus, δ18O; δ13C, standard deviation; δ18O, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 530 data points
    Location Call Number Limitation Availability
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  • 6
    Publication Date: 2024-03-01
    Keywords: AWI_BPP; Bentho-Pelagic Processes @ AWI; Brandal; Comment; Kongsfjorden, Spitsbergen, Arctic; Mass spectrometer, Finnigan, MAT 253; MULT; Multiple investigations; ORDINAL NUMBER; Serripes groenlandicus, δ13C; Serripes groenlandicus, δ18O; δ13C, standard deviation; δ18O, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 890 data points
    Location Call Number Limitation Availability
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  • 7
    Publication Date: 2024-03-01
    Keywords: AWI_BPP; Bentho-Pelagic Processes @ AWI; Brandal; Comment; Kongsfjorden, Spitsbergen, Arctic; Mass spectrometer, Finnigan, MAT 253; MULT; Multiple investigations; ORDINAL NUMBER; Serripes groenlandicus, δ13C; Serripes groenlandicus, δ18O; δ13C, standard deviation; δ18O, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 540 data points
    Location Call Number Limitation Availability
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  • 8
    Publication Date: 2024-06-13
    Description: This data collection presents the compilation of scientific results of the EU project BENGAL.
    Keywords: 12812-002; 12913-002; 12914-003; 12923-002; 12923-005; 12923-013; 12925-004; 12925-008; 12926-001; 12926-002; 12930-004; 12930-005; 12930-006; 12930-007; 12930-010; 12930-014; 12930-015; 12930-017; 12930-018; 12930-022; 12930-023; 12930-025; 12930-026; 12930-027; 12930-028; 12930-029; 12930-032; 12930-034; 12930-035; 12930-036; 12930-037; 12930-038; 12930-039; 12930-040; 12930-044; 12930-045; 12930-046; 12930-048; 12930-049; 12930-052; 12930-055; 12930-059; 12930-061; 12930-063; 12930-064; 12930-065; 12930-066; 12930-068; 12930-071; 12930-073; 12930-075; 12930-078; 12930-081; 12930-082; 12930-084; 12930-087; 12930-093; 12930-095; 13077-001; 13077-004; 13077-006; 13077-012; 13077-014; 13077-015; 13077-018; 13077-019; 13077-021; 13077-023; 13077-024; 13077-025; 13077-026; 13077-035; 13077-036; 13077-047; 13077-057; 13077-058; 13077-059; 13077-060; 13077-062; 13077-063; 13077-065; 13077-069; 13077-070; 13077-071; 13077-072; 13077-078; 13077-087; 13077-089; 13077-090; 13077-093; 13077-096; 13077-097; 13077-098; 13077-099; 13078-006; 13078-008; 13078-010; 13078-011; 13078-012; 13078-013; 13078-015; 13078-016; 13078-017; 13078-018; 13078-019; 13078-027; 13078-029; 13078-031; 13078-037; 13078-038; 13200-001; 13200-004; 13200-005; 13200-007; 13200-008; 13200-009; 13200-010; 13200-011; 13200-012; 13200-016; 13200-017; 13200-018; 13200-020; 13200-021; 13200-022; 13200-024; 13200-025; 13200-026; 13200-027; 13200-028; 13200-029; 13200-030; 13200-032; 13200-033; 13200-035; 13200-036; 13200-039; 13200-041; 13200-045; 13200-046; 13200-047; 13200-048; 13200-049; 13200-051; 13200-052; 13200-053; 13200-058; 13200-059; 13200-060; 13200-061; 13200-062; 13200-063; 13200-065; 13200-068; 13200-069; 13200-070; 13200-071; 13200-073; 13200-074; 13200-075; 13200-077; 13200-078; 13200-080; 13200-081; 13200-082; 13200-083; 13200-084; 13200-087; 13200-089; 13200-090; 13200-091; 13200-093; 13200-094; 13200-096; 13200-099; 13201-001; 13201-002; 13201-005; 13368-003; 13368-004; 13368-007; 13368-008; 13368-012; 13368-014; 13368-015; 13368-019; 13368-022; 13368-023; 13368-024; 13368-025; 13368-026; 13368-028; 13368-030; 13368-036; 13368-039; 13368-040; 13368-042; 13368-044; 13368-045; 13368-047; 13368-048; 13368-049; 13368-051; 13368-052; 13368-053; 13368-055; 13368-056; 13368-057; 13370-004; 13370-005; 13370-006; 13627-005; 13627-008; 13627-010; 13627-011; 13627-012; 13627-014; 13627-015; 13627-017; 13627-022; 13627-023; 13627-024; 269; 356; 362; 372; 373; 54301-002; 54301-003; 54301-005; 54301-008; 54301-009; 54301-010; 54301-012; 54301-014; 54301-016; 54301-019; 54301-021; 54301-023; 64PE123; ALBEX lander; Autonome colonisation module; Baited free-fall benthic amphipod trap; BC; Bengal; BENGAL; Benthic Biology and Geochemistry of a North-eastern Atlantic Abyssal Locality; BIO; Biology; BN; Bottom net; Bottom water sampler; Box corer; BWS; CH135; Challenger; Chalut à perche (6 m beam trawl); CMA; CP; CTD/Rosette; CTD-RO; Current meter, Aanderaa; D217; D222/1; D222/2; D226; D229; D231; D236; D237; DEMAR; DI236_08-1; DI236_11-1; DI236_16-1; DI236_18-1; DI236_21-1; DI236_23-1; DI236_25-1; DI236_28-1; DI236_29-1; DI236_31-1; DI236_34-1; DI236_42-1; DI236_45-1; DI236_49-1; Discovery (1962); D-MOC-01; D-MOC-02; D-MOC-03; D-MOC-04; D-MOC-07; Dy222_FFR-05; FFR; FFR-01; FFR-02; FFR-04; Free vehicle respirometer; FT-04; FTS; GBGL; GBGL-01; GBGL-02; Göteborg lander; IMBC; IMBC lander; KASTEN; Kasten corer (1 m**2); M36/4; M36/4_MC1; M36/4_MC4; M36/4_MC5; M36/5; M36/5_MC26; M36/5_MC27; M36/5_MC28; M36/6; M36/6_368FFR; M36/6_371BWS; M36/6_372MUC; M36/6_373MUC; M36/6_375MSN; M36/6_380MSN; M36/6_381BWS; M36/6_BWS-19; M36/6_BWS-20; M36/6_MC33; M36/6_MC38; M36/6_MC41; M42/2; M42/2_363-1; M42/2_365; M42/2_366; M42/2_367; M42/2_368-2; M42/2_368-3; M42/2_370; M42/2_373; M42/2_374-2; M42/2_374-3; M42/2_377-1; M42/2_377-5; M42/2_377-6; M42/2_380-2; M42/2_380-3; M42/2_380-4; M42/2_381; M42/2_384-1; M42/2_385; M42/2_386; M42/2_388-1; M42/2_388-2; M42/2_391-2; M42/2_397-1; M42/2_397-3; M42/2_417; M42/2_418; M42/2_419; M42/2_420; M42/2_421-2; M42/2_421-3; M42/2_421-5; M42/2_422; M42/2_424-1; M42/2_424-2; M42/2_424-4; M42/2_425; M42/2_426-2; M42/2_429-1; M42/2_429-2; M42/2_430; M42/2_432-1; M42/2_433; M42/2_434-1; M42/2_434-2; M42/2_436; M42/2_438; M42/2_BWS-01; M42/2_BWS-02; M42/2_BWS-04; M42/2_BWS-05; M42/2_BWS-09; M42/2_BWS-10; M42/2_BWS-12; M42/2_CTD-03; M42/2_CTD-05; M42/2_CTD-06; M42/2_CTD-07; M42/2_CTD-08; M42/2_CTD-09; M42/2_CTD-13; M42/2_CTD-22; M42/2_CTD-24; M42/2_CTD-25; M42/2_CTD-28; M42/2_CTD-29; M42/2_CTD-31; M42/2_MC-04; M42/2_MC-09; M42/2_MC1; M42/2_MC2; M42/2_MC27; M42/2_MC28; M42/2_MC29; M42/2_MC-30; M42/2_MC31; M42/2_MC-32; M42/2_MC34; M42/2_MC-34; M42/2_MC4; M42/2_MC5; M42/2_MC6; M42/2_MC7; M42/2_MC8; MACOL; MCB57; MCB57-74; MCB92; MCS; MEGAC; MegaCorer; Meteor (1986); MOC; MOC1; MOCNESS opening/closing plankton net; MOCNESS opening/closing plankton net 1 sqm; MSN; MUC; MULT; MultiCorer; MultiCorer, small; MultiCorer Barnett pattern (12-57); MultiCorer Barnett pattern (4-57.8-74); MultiCorer Barnett pattern (8-92); Multiple investigations; Multiple opening/closing net; NIOZL; OTSB14; PAP; PAP-XIX; PAP-XV; PAP-XVIII; PAP-XX; PAP-XXIIIa; Pelagia; Photo sledge; PLG123; PLG123/12-1; PLG123/13-2; PLG123/13-3; PLG123/13-5; PLG123/13-6; PLG123/13-7; PLG123/14-1; Porcupine Abyssal Plain; RESP; Respirometer; RK127; RK128; RK130; SAPS; Sediment profile imagery; Semi-balloon trawl; SEP; South Atlantic Ocean; Spade box corer; Stand-alone pumps; Trap, sediment; TRAPS; VEGBOXC; Vertical amphipod trap; VET
    Type: Dataset
    Format: application/zip, 515 datasets
    Location Call Number Limitation Availability
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  • 9
    Publication Date: 2024-06-12
    Description: Here we provide four ArcGIS map packages with georeferenced files on the spatial distribution of demersal and pelagic fishes in the wider Weddell Sea (Antarctica), which were created in the context of the development of a marine protected area (MPA) in the Weddell Sea. Antarctic toothfish: The map of Dissostichus mawsoni occurrence probability is based on catch per unit effort (CPUE) data from the database of the Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR) (data request: 03-08-2016) and on bathymetric data from the International Bathymetric Chart of the Southern Ocean (IBCSO). We fitted a four-parameter Weibull model to the simulated CPUE data per depth interval by means of the R package 'fitdistrplus'. The highest D. mawsoni occurrence probability was shown at depths between 1500 and 2000 m and only approximately 20 % of the Antarctic toothfish population occurred deeper than 2000 m. Antarctic silverfish: The map of interpolated abundances of Pleuragramma antarctica was based on pelagic trawl survey data, which were collected during "Polarstern" cruises ANT-I/2, ANT-III/3 and in the context of the Lazarev Sea Krill Survey (LAKRIS) ("Polarstern" cruises ANT-XXI/4, ANT-XXIII/6, ANT-XXIV/2). The first mentioned data were provided by V. Siegel (retired; formerly Thünen Institute), the LAKRIS data by H. Flores (AWI). Those data were complemented by benthic trawl survey data, which were collected during seven "Polarstern" cruises between 1996 and 2011 (ANT-XIII/3, ANT-XV/3, ANT-XVII/3, ANT-XIX/5, ANT-XXI/2, ANT-XXIII/8, ANT-XXVII/3) and were provided by R. Knust (AWI) as well as by data on counts of fish species from trawl and dredge samples by Drescher et. (2012), Ekau et al. (2012a, b), Hureau et al. (2012), Kock et al. (2012) and Wöhrmann et al. (2012). An inverse distance weighted interpolation was performed for a 10 nautical mile radius around each record. Areas with highest numbers of P. antarctica (〉 36 individuals/1000 m²) occurred offshore Riiser -Larsen Ice Shelf and on the southern Weddell Sea continental shelf offshore Filchner Ice Shelf. Demersal fish: The map of predicted habitat suitability for demersal fish is based on data, which were collected during seven "Polarstern" cruises between 1996 and 2011 (ANT-XIII/3, ANT-XV/3, ANT-XVII/3, ANT-XIX/5, ANT-XXI/2, ANT-XXIII/8, ANT-XXVII/3) and were provided by R. Knust (AWI). The habitat suitability model was developed by the use of the modelling package "biomod2". Most suitable habitat conditions for demersal fish in the wider Weddell Sea occurred on the continental shelf between approx. 5° and 30°W, on the shelf west and east of the tip of the Antarctic Peninsula as well as around the South Shetland and South Orkney Islands. Nesting sites of demersal fish: The map on observation of nesting sites of demersal fish is based on data, which were collected during "Polarstern" cruises ANT-XXVII/3, ANT-XXIX/9 and ANT-XXXI/2 and were obtained by T. Lundälv (retired; formerly University of Gothenburg), D. Gerdes (retired; formerly AWI) and E. Riginella (University of Padova), respectively. Those data were complemented by a literature research. Most nesting sites were observed west of 25°W, north of the tip of the Antarctic Peninsula and along the west coast of the Antarctic Peninsula. More information is given in the working paper WG-EMM-16/03 submitted to the CCAMLR Working Group on Ecosystem Monitoring and Management CCAMLR (available at https://www.ccamlr.org/en/wg-emm-16). Revised versions of the spatial analysis are described in working paper WG-SAM-17/30 and WS-SM-18/13 submitted to the CCAMLR Working Group on Statistics, Assessments and Modelling and the CCAMLR Workshop on Spatial Management, respectively (available at https://www.ccamlr.org/en/wg-sam-17; https://www.ccamlr.org/en/ws-sm-18).
    Keywords: Antarctica; Antarctic silverfish (Pleuragramma antarctica); Antarctic toothfish (Dissostichus mawsoni); AWI_FuncEco; Development of a CCAMLR Marine Protected Area in the Antarctic Weddell Sea; File content; File format; File name; File size; Functional Ecology @ AWI; Marine Protected Area (MPA); Model; nesting sites; Uniform resource locator/link to file; Weddell Sea; Wider_Weddell_Sea_Antarctica_Fish; WSMPA
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
    Location Call Number Limitation Availability
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  • 10
    Publication Date: 2024-06-12
    Description: Here we provide two ArcGIS map packages with georeferenced files on the spatial distribution of sponges and echinoderms in the wider Weddell Sea (Antarctica), which were created in the context of the development of a marine protected area (MPA) in the Weddell Sea. Sponges: The map of interpolated occurrence of sponges is based on quantitative abundance data (Gerdes 2014 a - o) and on semi-quantitative data obtained by W. Arntz (retired; formerly AWI) (see Teschke & Brey 2019a for presence / absence records of the latter dataset). The abundance data were classified to be merged with the semi-quantitative data and an inverse distance weighted method was performed on the united dataset. Areas with very common occurrence of sponges occurred on the shelf near Brunt Ice Shelf along Riiser - Larsen Ice Shelf to Ekstrøm Ice Shelf. Echinoderms: A cluster analysis with species x station datasets of asteroids (Teschke & Brey 2019b), ophiuroids (Teschke & Brey 2019c) and holothurians (Gutt et al. 2014) from the Antarctic Weddell Sea indicated a particular cold-water echinoderm fauna on the Filchner shelf. We approximated this potential habitat by bottom temperature ≤ -1°, based on seawater temperature data from the Finite Element Sea Ice - Ocean Model provided by R. Timmermann (AWI). More information on the spatial analysis is given in working paper WG-EMM-16/03 submitted to the CCAMLR Working Group on Ecosystem Monitoring and Management (available at https://www.ccamlr.org/en/wg-emm-16).
    Keywords: Antarctica; AWI_FuncEco; Development of a CCAMLR Marine Protected Area in the Antarctic Weddell Sea; Echinodermata; File content; File format; File name; File size; Functional Ecology @ AWI; Marine Protected Area (MPA); Model; Porifera; Uniform resource locator/link to file; Weddell Sea; Wider_Weddell_Sea_Antarctica_Zoobenthos; WSMPA
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
    Location Call Number Limitation Availability
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