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  • 2015-2019  (56)
  • 2005-2009
  • 2019  (32)
  • 2017  (24)
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  • 2015-2019  (56)
  • 2005-2009
Year
  • 11
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    Unknown
    Presence and absence records of sea star species (class: Asteroidea) from trawl, grab and trap samples in the Weddell Sea and western Antarctic Peninsula region during POLARSTERN cruises ANT-I/2, ANT-II/4, ANT-V/3, ANT-VI/3, ANT-XV/3 and ANT-XVII/3 (2019)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-26
    Description: The dataset comprises a total of 7,134 records of presence and absence for 87 sea star taxa (84 % on species level, 16 % others) from 72 trawl samples (Agassiz trawl, bottom trawl, Rauschert dredge, epibenthic sledge) and 10 others (multi-box corer, giant box corer, amphipod trap, fish trap, CTD logger). The dataset was collected in the Antarctic Weddell Sea and western Antarctic Peninsula (depth range: 94 - 1353 m) during “Polarstern” cruises ANT I/2 (1983), ANT II/4 (1983/84), ANT V/3 (1987), ANT VI/3 (1987/88), ANT XV/3 (1998) and ANT XVII/3 (2000).
    Keywords: Acodontaster capitatus; Acodontaster conspicuus; Acodontaster elongatus; Acodontaster hodgsoni; Acodontaster marginatus; Acodontaster sp.; Agassiz Trawl; AGT; Anteliaster australis; ANT-I/2; ANT-II/4; ANT-V/3; ANT-VI/3; ANT-XV/3; ANT-XVII/3; Area; Atka Bay; Austasen; Bathybiaster loripes; Bottom trawl; Bransfield Strait; BT; Campaign; Cheiraster (Luidiaster) gerlachei; Chitonaster johannae; Coronaster reticulatus; Cryptasterias turqueti; Cuenotaster involutus; Cycethra verrucosa mawsoni; DATE/TIME; Deception Island; DEPTH, water; Diplasterias brandti; Diplasterias brucei; Diplasterias sp.; Diplopteraster semireticulatus; Diplopteraster verrucosus; Drake Passage; Dredge, Rauschert; Drescher Inlet; EBS; Epibenthic sledge; Event label; Gear; Giant box corer; GKG; Glabraster antarctica; Halley Bay; Height; Henricia fisheri; Henricia obesa; Henricia parva; Henricia simplex; Henricia smilax; Henricia sp.; Henricia studeri; Hippasteria falklandica; Hippasteria phrygiana; Hippasteria sp.; Hymester sp.; Kampylaster incurvatus; Kampylaster sp.; Kapp Norvegia; Kenrickaster pedicellaris; King George Island, Antarctic Peninsula; Labidiaster annulatus; LATITUDE; Length; Leptychaster flexuosus; LONGITUDE; Lophaster gaini; Lophaster sp.; Lophaster stellans; Lophaster stellans marionis; Lysasterias adeliae; Lysasterias digitata; Lysasterias hemiora; Lysasterias perrieri; Lysasterias sp.; Macroptychaster accrescens; Mesh size; MG; Mirastrella biradialis; MULT; Multiboxcorer; Multiple investigations; Notasterias armata; Notasterias sp.; Notasterias stolophora; Notioceramus anomalus; Odinella nutrix; Odontaster meridionalis; Odontaster penicillatus; Odontaster validus; Paralophaster antarcticus; Paralophaster godfroyi; Paralophaster lorioli; Paralophaster sp.; Pedicellaster hypernotius; Pergamaster triseriatus; Peribolaster macleani; Perknaster antarcticus; Perknaster aurorae; Perknaster charcoti; Perknaster densus; Perknaster fuscus; Perknaster sladeni sladeni; Perknaster sp.; Polarstern; Project; PS01; PS01/135; PS01/147; PS01/149; PS01/192; PS01/194; PS01/196; PS01/216; PS01/220; PS04; PS04/308; PS04/341; PS04/372; PS04/386; PS04/438; PS04/450; PS04/474; PS04/510; PS04/521; PS04/524; PS10/537-1; PS10 WWSP86; PS12; PS12/396; PS12/396-2; PS48/039; PS48/044; PS48/049; PS48/058; PS48/062; PS48/071; PS48/077; PS48/078; PS48/079; PS48/082; PS48/088; PS48/094; PS48/095; PS48/097; PS48/100; PS48/106; PS48/120; PS48/123; PS48/150; PS48/154; PS48/167; PS48/168; PS48/189; PS48/194; PS48/197; PS48/206; PS48/220; PS48/222; PS48/263; PS48/264; PS48/277; PS48/295; PS48/303; PS48/322; PS48/336; PS48/338; PS48/353; PS48 EASIZ II; PS56/058-1; PS56/065-1; PS56/085-1; PS56/097-1; PS56/102-1; PS56/109-1; PS56/112-1; PS56/113-1; PS56/115-1; PS56/116-1; PS56/119-1; PS56/124-1; PS56/135-1; PS56/136-1; PS56/155-1; PS56/158-1; PS56/165-1; PS56/166-1; PS56/173-1; PS56/177-1; PS56/178-2; PS56/180-2; PS56/183-1; PS56/184-1; PS56/191-1; PS56 EASIZ III; Psalidaster mordax; Psalidaster sp.; Pseudarchaster discus; Psilaster charcoti; Psilaster sp.; Pteraster affinis; Pteraster gibber; Pteraster lebruni; Pteraster militarioides stoibe; Pteraster rugatus; Pteraster sp.; Pteraster stellifer; RD; Remaster gourdoni; Rhopiella hirsuta; Saliasterias brachiata; Sample ID; Ship speed; Smilasterias triremis; Solaster notophrynus; Solaster regularis; South of Vestkapp; Station label; Trap, fish; TRAPF; Trawling distance; Trawling time; Weddell Sea; Width
    Type: Dataset
    Format: text/tab-separated-values, 7896 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 12
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    Abundance records of the five most abundant brittle star species (Ophiuroidea) from trawl, grab and trap samples in the Weddell Sea and neighbouring seas during POLARSTERN cruises ANT-I/2, ANT-II/4, ANT-V/3-4, ANT-VI/3, ANT-IX/3 and ANT-X/3 (2019)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-26
    Description: The dataset comprises a total of 540 records of abundance of Astrotoma agassizii Lyman, 1875, Ophionotus victoriae (Bell, 1902), Ophioplinthus brevirima (Mortensen, 1936), Ophioplinthus gelida (Koehler, 1901) and Ophioplocus incipiens (Koehler, 1922) from 106 trawl samples (Agassiz trawl, bottom trawl, dredge) and two others (multi-box corer, weir basket). The dataset was collected on the shelf and slope of the Antarctic Weddell Sea and Lazarev Sea (depth range: 130 - 970 m) during "Polarstern" cruises ANT I/2 (1983), ANT II/4 (1983/84), ANT V/3 and 4 (1986/87), ANT VI/3 (1987/88), ANT IX/3 (1990/91) and ANT X/3 (1992).
    Keywords: Agassiz Trawl; AGT; ANT-I/2; ANT-II/4; ANT-IX/3; ANT-V/3; ANT-V/4; ANT-VI/3; ANT-X/3; Area; Astrotoma agassizii; Bottom trawl; BT; Campaign; DATE/TIME; DEPTH, water; Dredge; DRG; Event label; FTS; Gear; Height; LATITUDE; Lazarev Sea; Length; LONGITUDE; Mesh size; MG; MULT; Multiboxcorer; Multiple investigations; Ophionotus victoriae; Ophioplinthus brevirima; Ophioplinthus gelida; Ophioplocus incipiens; Photo sledge; Polarstern; Project; PS01; PS01/128; PS01/132; PS01/135; PS01/147; PS01/149; PS01/153; PS01/161; PS01/168; PS01/180; PS01/192; PS01/195; PS01/196; PS01/198; PS01/207; PS01/210; PS01/213; PS01/216; PS01/220; PS04; PS04/303; PS04/308; PS04/310; PS04/341; PS04/369; PS04/372; PS04/378; PS04/386; PS04/417; PS04/428; PS04/438; PS04/450; PS04/460; PS04/470; PS04/474; PS04/480; PS04/490; PS04/492; PS04/506; PS04/510; PS04/524; PS10; PS10/508-2; PS10/517-2; PS10/520-6; PS10/522-1; PS10/523-2; PS10/527-2; PS10/531-1; PS10/536-1; PS10/537-1; PS10/553-2; PS10/561-4; PS10/566-4; PS10/571-4; PS10/575-4; PS10/580-3; PS10/584-9; PS10/585-2; PS10/589-3; PS10/590-3; PS10/592-3; PS10/593-1; PS10/594-3; PS10/615-3; PS10/618-9; PS10/627-6; PS10/672-2; PS10/692; PS10/704; PS10/738; PS10/796; PS10 WWSP86; PS12; PS12/266-2; PS12/298; PS12/314; PS12/323; PS12/333-2; PS12/342; PS12/346; PS12/384; PS12/387; PS12/396; PS12/396-2; PS12/418; PS12/437; PS12/512; PS18; PS18/123-1; PS18/123-2; PS18/129-1; PS18/133-1; PS18/135-2; PS18/158-1; PS18/160-2; PS18/162-1; PS18/165-2; PS18/168-1; PS18/169-1; PS18/171-2; PS18/173-1; PS18/174-1; PS18/176-1; PS18/179-1; PS18/180-3; PS18/192-2; PS18/206-1; PS18/207-2; PS18/211-1; PS18/212-8; PS18/220-1; PS21; PS21/352; PS21/432; Sample ID; Ship speed; South Atlantic Ocean; Station label; Trawling distance; Trawling time; Weddell Sea; Width
    Type: Dataset
    Format: text/tab-separated-values, 1723 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 13
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    Presence and absence records of benthic taxa from trawl samples taken in the Weddell Sea (Antarctica) and neighbouring seas during POLARSTERN cruises ANT-VII/4, ANT-IX/3, ANT-XIII/3, ANT-XV/3, ANT-XVII/3 and ANT-XXI/2 between 1989 and 2004 (2019)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-26
    Description: The dataset comprises a total of 11,020 records of presence and absence for 58 benthic invertebrate taxa and fish from 190 trawl samples (Agassiz trawl, bottom trawl, Rauschert dredge, benthopelagic trawl). The dataset was collected on the shelf and slope of the eastern Weddell Sea and Lazarev Sea, near Bouvet Island and the region at the north western tip of the Antarctic Peninsula (depth range: 64 - 2315 m) between 1989 and 2004 onboard "Polarstern". Cruises ANT VII/4 (1989), ANT IX/3 (1990/91), ANT XIII/3 (1996), ANT XV/3 (1998), ANT XVII/3 (2000) and ANT XXI/2 (2003/2004) contributed to the data collection.
    Keywords: Acari; Actiniaria; Agassiz Trawl; AGT; Alcyonacea; Amphipoda; ANT-IX/3; ANT-VII/4; ANT-XIII/3; ANT-XV/3; ANT-XVII/3; ANT-XXI/2; Aplacophora; Area; Ascidiacea; Asteroidea; Austasen; Bentho-pelagic trawl; Bivalvia; Bottom trawl; BPT; Brachiopoda; Bryozoa; BT; Campaign; Cephalopoda; Cirripedia; Crinoidea; Cumacea; DATE/TIME; Date/time end; Decapoda; Demospongia; DEPTH, water; Drake Passage; Dredge, Rauschert; Drescher Inlet; Eastern Weddell Sea, Southern Ocean; Echinoidea; Echiurida; Errantia; Event label; Gear; Gorgonariana; Graptolithoidea; Halley Bay; Haul 8; Height; Hexacorallia; Hexactinellida; Hirudinea; Holothuroidea; Hydroidolina; Hydrozoa; Isopoda; Kamptozoa; Kapp Norvegia; King George Island, Antarctic Peninsula; LATITUDE; Lazarev Sea; Leptostraca; LONGITUDE; Mesh size; MULT; Multiple investigations; Mysida; Nematoda; Nemertea; Nudibranchia; Ophiuroidea; Opisthobranchia; Ostracoda; Pantopoda; Pennatula; Pisces; Platyhelminthes; Polarstern; Polychaeta; Polyplacophora; Porifera; Priapulida; Project; Prosobranchia; PS14/211; PS14/212; PS14/217; PS14/224; PS14/226; PS14/229; PS14/230; PS14/235; PS14/235-1; PS14/241; PS14/241-1; PS14/245; PS14/245-1; PS14/248; PS14/249; PS14/250; PS14/250-1; PS14/252; PS14/253; PS14/256; PS14/257; PS14/258; PS14/259; PS14/260; PS14/261; PS14/269; PS14/270; PS14/271; PS14/272; PS14/273; PS14/274; PS14/275; PS14/281; PS14/282; PS14/284; PS14/289; PS14/290; PS14/291; PS14/293; PS14/295; PS14/312; PS14 EPOS I; PS18; PS18/123-1; PS18/129-1; PS18/130-1; PS18/133-1; PS18/135-2; PS18/158-1; PS18/160-2; PS18/162-1; PS18/165-2; PS18/168-1; PS18/169-1; PS18/171-2; PS18/173-1; PS18/174-1; PS18/176-1; PS18/179-1; PS18/180-3; PS18/189-3; PS18/192-2; PS18/206-1; PS18/207-2; PS18/211-1; PS18/212-8; PS18/220-2; PS39/001-1; PS39/002-9; PS39/004-4; PS39/005-11; PS39/006-12; PS39/006-15; PS39/009-1; PS39/009-15; PS39/009-18; PS39/011-1; PS39/012-1; PS39/013-4; PS39/014-2; PS39/015-1; PS39/016-1; PS39/017-1; PS39/018-1; PS39/024-2; PS39/025-1; PS39/025-13; PS39/029-1; PS39/030-2; PS39 EASIZ; PS48/006; PS48/037; PS48/039; PS48/044; PS48/049; PS48/050; PS48/062; PS48/071; PS48/077; PS48/082; PS48/088; PS48/095; PS48/097; PS48/100; PS48/115; PS48/120; PS48/123; PS48/128; PS48/134; PS48/141; PS48/144; PS48/150; PS48/154; PS48/157; PS48/166; PS48/167; PS48/168; PS48/172; PS48/189; PS48/194; PS48/197; PS48/198; PS48/206; PS48/214; PS48/220; PS48/222; PS48/277; PS48/295; PS48/296; PS48/303; PS48/308; PS48/322; PS48/324; PS48/329; PS48/336; PS48/337; PS48/338; PS48/346; PS48/348; PS48/352; PS48/355; PS48 EASIZ II; PS56/065-1; PS56/085-1; PS56/102-1; PS56/109-1; PS56/119-1; PS56/124-1; PS56/135-1; PS56/136-1; PS56 EASIZ III; PS65/019-1; PS65/020-1; PS65/028-1; PS65/029-1; PS65/039-1; PS65/090-1; PS65/109-1; PS65/121-1; PS65/132-1; PS65/161-1; PS65/173-1; PS65/233-1; PS65/245-1; PS65/248-1; PS65/253-1; PS65/259-1; PS65/265-1; PS65/274-1; PS65/276-1; PS65/278-1; PS65/279-1; PS65/280-1; PS65/292-1; PS65/336-1; PS65/344-1; PS65 BENDEX; Pycnogonida; RD; Sample ID; Scaphopoda; Scleractinia; Scyphozoa; Sedentaria; Ship speed; Siboglinidae; Sipuncula; South Atlantic Ocean; South of Vestkapp; Station label; Stolonifera; Stomatopoda; Stylasteridae; Tanaidacea; Trawling distance; Trawling time; Turbellaria; Weddell Sea; Width
    Type: Dataset
    Format: text/tab-separated-values, 12877 data points
    Location Call Number Limitation Availability
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  • 14
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    Abundance records of polychaete taxa (family: Aphroditides, Polynoids) from trawl samples in the Weddell Sea and neighbouring seas during POLARSTERN cruises ANT-I/2, ANT-II/4, ANT-V/3-4, ANT-VII/4, ANT-IX/3 and ANT-X/3 between 1983 and 1992 (2019)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2024-06-26
    Description: The data set comprises a total of 3,240 records of abundance of 24 polychaete taxa of the families Aphroditides and Polynoids (88 % of the taxa were identified at species or subspecies level). The data were collected in the Southern Ocean, i.e. the Weddell Sea, the Lazarev Sea and the plateau region of South Orkney (depth range: 126 - 2025 m). A total of 135 trawls (Agassiz trawl, bottom trawl, dredge, benthopelagic trawl) were used during RV "Polarstern" cruises ANT I/2 (1983), ANT II/4 (1983/84), ANT V/3 and 4 (1986/87), ANT VII/4 (1989), ANT IX/3 (1990/91) and ANT X/3 (1992).
    Keywords: Agassiz Trawl; AGT; Antarctinoe spicoides; ANT-I/2; ANT-II/4; ANT-IX/3; ANT-V/3; ANT-V/4; ANT-VII/4; ANT-X/3; Austrolaenilla antarctica; Austrolaenilla hastulifera; AWI_FuncEco; Barrukia cristata; Barrukia curviseta; Bentho-pelagic trawl; Bottom trawl; BPT; BT; Campaign; DATE/TIME; Date/time end; Date/time start; DEPTH, water; Dredge; DRG; Eucranta mollis; Eulagisca corrientis; Eulagisca gigantea; Eunoe hartmanae; Eunoe opalina; Eunoe sp.; Event label; Functional Ecology @ AWI; Gear; Gorekia crassicirris; Harmothoe crosetensis; Harmothoe fullo; Harmothoe magellanica; Harmothoe spinosa; Harmothoe spp.; Height; Kapp Norvegia; Laetmonice filicornis benthaliana; Laetmonice producta producta; Laetmonice wyvillei; LATITUDE; Lazarev Sea; LONGITUDE; Macellicephala mirabilis; Macelloides antarctica; Mesh size; MULT; Multiple investigations; Polarstern; Polyeunoa laevis; Polynoidae spp.; Project; PS01; PS01/125; PS01/128; PS01/129; PS01/132; PS01/135; PS01/147; PS01/149; PS01/154; PS01/168; PS01/180; PS01/192; PS01/194; PS01/195; PS01/220; PS04; PS04/474; PS04/480; PS04/490; PS04/492; PS04/502; PS04/506; PS04/510; PS04/521; PS10; PS10/504-10; PS10/508-2; PS10/517-2; PS10/520-6; PS10/522-1; PS10/523-2; PS10/527-2; PS10/528-2; PS10/531-1; PS10/536-1; PS10/537-1; PS10/553-2; PS10/561-4; PS10/566-4; PS10/571-4; PS10/575-4; PS10/580-3; PS10/584-9; PS10/585-2; PS10/589-3; PS10/590-3; PS10/592-3; PS10/594-3; PS10/609-1; PS10/615-3; PS10/618-9; PS10/627-6; PS10/672-2; PS10/692; PS10/704; PS10/738; PS10/796; PS10 WWSP86; PS14/211; PS14/212; PS14/217; PS14/224; PS14/226; PS14/226-1; PS14/229; PS14/229-1; PS14/230; PS14/235; PS14/235-1; PS14/241; PS14/241-1; PS14/245; PS14/245-1; PS14/248; PS14/249; PS14/249-1; PS14/250; PS14/250-1; PS14/252; PS14/253; PS14/256; PS14/257; PS14/258; PS14/259; PS14/260; PS14/261; PS14/269; PS14/270; PS14/271; PS14/273; PS14/274-1; PS14/275; PS14/281; PS14/282; PS14/284; PS14/289; PS14/290; PS14/291; PS14/293; PS14/294-2; PS14/295; PS14/312; PS14 EPOS I; PS18; PS18/123-1; PS18/123-2; PS18/129-1; PS18/130-1; PS18/133-1; PS18/135-2; PS18/158-1; PS18/160-2; PS18/162-4; PS18/165-2; PS18/168-1; PS18/169-1; PS18/171-2; PS18/173-1; PS18/174-1; PS18/176-1; PS18/179-1; PS18/180-3; PS18/189-3; PS18/192-2; PS18/206-1; PS18/207-2; PS18/211-1; PS18/212-8; PS18/220-2; PS21; PS21/348; PS21/349; PS21/352; PS21/429; PS21/432; PS21/479; Sample ID; Ship speed; South Atlantic Ocean; Station label; Trawling time; Weddell Sea; Width
    Type: Dataset
    Format: text/tab-separated-values, 4741 data points
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  • 15
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    Predation impact of the notothenoid fish Trematomus bernacchii on the size structure of the scallop Adamussium colbecki in Terra Nova Bay (Ross Sea, Antarctica) (2017)
    SPRINGER
    In:  EPIC3Polar Biology, SPRINGER, ISSN: 0722-4060
    Details
    Publication Date: 2017-08-01
    Description: Biotic interactions are particularly relevant in stable environments, such as the High Antarctic areas. Among them, predation has a key role in structuring community and population variables, including size-frequency distribution. This study aims to quantify the impact of predation by the notothenioid fish Trematomus bernacchii on the Antarctic scallop Adamussium colbecki- size distribution. We developed a model of this impact that estimates the size distribution of the preyed scallop population, taking into account for the predator- size distribution, sex structure, and daily consumption. Comparing this size distribution of the preyed A. colbecki with the living populations at Terra Nova Bay (Ross Sea, Antarctica), we were able to detect a relevant impact of fish predation. Fish-size frequency resulted to be the major factor shaping preysize structure, with significant differences between predation by males and females. Our findings, given the key role of the two species in the littoral ecosystem of Terra Nova Bay (Antarctic Special Protected Area 161), fall into the framework of ecosystem management of High Antarctic coastal areas, particularly in the actual context of climate change, and increasing anthropogenic impact
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 16
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    A ‘fuzzy clustering’ approach to conceptual confusion: how to classify natural ecological associations (2017)
    In:  EPIC3Marine Ecology Progress Series, 584, pp. 17-30
    Details
    Publication Date: 2017-12-11
    Description: The concept of the marine ecological community has recently experienced renewed attention, mainly owing to a shift in conservation policies from targeting single and specific objec- tives (e.g. species) towards more integrated approaches. Despite the value of communities as dis- tinct entities, e.g. for conservation purposes, there is still an ongoing debate on the nature of spe- cies associations. They are seen either as communities, cohesive units of non-randomly associated and interacting members, or as assemblages, groups of species that are randomly associated. We investigated such dualism using fuzzy logic applied to a large dataset in the German Bight (south- eastern North Sea). Fuzzy logic provides the flexibility needed to describe complex patterns of natural systems. Assigning objects to more than one class, it enables the depiction of transitions, avoiding the rigid division into communities or assemblages. Therefore we identified areas with either structured or random species associations and mapped boundaries between communities or assemblages in this more natural way. We then described the impact of the chosen sampling design on the community identification. Four communities, their core areas and probability of occurrence were identified in the German Bight: AMPHIURA-FILIFORMIS, BATHYPOREIA-TELLINA, GONIADELLA-SPISULA, and PHORONIS. They were assessed by estimating overlap and compactness and supported by analysis of beta-diversity. Overall, 62% of the study area was characterized by high species turnover and instability. These areas are very relevant for conservation issues, but become undetectable when studies choose sampling designs with little information or at small spatial scales.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 17
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    Macrofaunal irrigation traits enhance predictability of biogeochemical cycling (2019)
    In:  EPIC3The General Assembly 2019 of the European Geosciences Union (EGU), 2019-04-07-2019-04-12
    Details
    Publication Date: 2019-06-14
    Description: Trait based indices constitute a versatile tool for the prediction of ecosystem functioning over large spatial scales and represent a promising approach to meet societal, political and regulatory demands. Here we investigate for the first time the ability of different trait based indices to predict nutrient fluxes of ammonium, nitrate, nitrite, silicate and phosphate under different environmental conditions. We hypothesize that irrigation traits, as applied in the newly proposed index “Community Irrigation Potential” (IPc), will increase the predictability of macrofaunal impact on nutrient fluxes compared to commonly used sediment reworking traits, as in the index “Community Bioturbation Potential” BPc. We correlate IPc and BPc with experimental nutrient flux data measured under different environmental conditions. Both trait based indices and environmental conditions significantly affected all analysed nutrient fluxes. We therefore conclude that neither the trait based indices nor the environmental conditions suffice for quantitative modelling of sediment biogeochemical turnover. Accordingly, information on of macrofaunal activity is needed to reliably predict biogeochemical turnover. Our results further demonstrate that generally nutrient fluxes of ammonium, nitrate, nitrite, silicate and phosphate are more closely linked to irrigation traits than to sediment reworking traits. In conclusion, linking macrofaunal bioirrigation to important environmental factors such as permeability, changing nutrient gradients in the water column and organic matter concentrations may strongly enhance performance of ecosystem models.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 18
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    An integrated data compilation for the development of a marine protected area in the Weddell Sea (2019)
    In:  EPIC3Earth System Science Data Discussions, pp. 1-31, ISSN: 1866-3591
    Details
    Publication Date: 2019-08-09
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 19
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    Macrofaunal irrigation traits enhance predictability of nutrient fluxes across the sediment-water interface (2019)
    Inter-Research
    In:  EPIC3Marine Ecology Progress Series, Inter-Research, 632, pp. 27-42, ISSN: 0171-8630
    Details
    Publication Date: 2020-01-10
    Description: This study shows that macrofaunal irrigation traits constitute a valuable complement to sediment reworking traits in estimating macrofaunal impact on nutrient fluxes across the sediment-water interface. We correlated density, biomass, community bioturbation potential (BPc, an index based on reworking traits, body mass and density) and community irrigation potential (IPc, an index based on irrigation traits, body mass and density) with nitrite, nitrate, ammonium, silicate and phosphate flux data under different environmental conditions. Generalized linear models performed best with a combination of environmental conditions and irrigation trait-based indices. This was not only a direct effect of the irrigation traits, but also of the scaling factor 0.75 employed in IPc to infer metabolic activity from body mass. Accordingly, predictive models of nutrient flux across the sediment-water interface will profit greatly from incorporating macrofaunal irrigation behaviour by means of trait-based indices.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 20
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    Do drivers of biodiversity change differ in importance across marine and terrestrial systems — Or is it just different research communities' perspectives? (2017)
    In:  EPIC3Science of The Total Environment, 574, pp. 191-203, ISSN: 00489697
    Details
    Publication Date: 2016-11-05
    Description: Cross-system studies on the response of different ecosystems to global change will support our understanding of ecological changes. Synoptic views on the planet's two main realms, the marine and terrestrial, however, are rare, owing to the development of rather disparate research communities.We combined questionnaires and a literature review to investigate howthe importance of anthropogenic drivers of biodiversity change differs amongmarine and terrestrial systems and whether differences perceived by marine vs. terrestrial researchers are reflected by the scientific literature. This included asking marine and terrestrial researchers to rate the relevance of different drivers of global change for either marine or terrestrial biodiversity. Land use and the associated loss of natural habitatswere rated as most important in the terrestrial realm,while the exploitation of the sea by fishing was rated as most important in the marine realm. The relevance of chemicals, climate change and the increasing atmospheric concentration of CO2 were rated differently for marine and terrestrial biodiversity respectively. Yet, our literature review provided less evidence for such differences leading to the conclusion that while the history of the use of land and sea differs, impacts of global change are likely to become increasingly similar.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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