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  • 11
    Publication Date: 2023-07-10
    Description: During the cruise ARK-XXVII/3 sampling of the megafauna was conducted by the Agassiz trawl (AGT) at seven stations. Agassiz trawls were taken along transects after the photographic survey by OFOS when the ice conditions were appropriate to obtain specimens to verify taxonomic identifications based on images. Trawl samples were washed through a sieve with 1 mm mesh size, sorted and preserved in 4% buffered formaldehyde. Some specimens with calcareous skeleton were preserved in 80% ethanol for taxonomic identifications.
    Keywords: Abietinaria pulchra; Abyssoninoe sp.; Actiniaria; Agassiz Trawl; Aglaophamus malmgreni; AGT; Anobothrus laubieri; Arctic Ocean; ARK-XXVII/3; Asbestopluma sp.; Ascorhynchus abyssi; Bathycrinus carpenteri; Bathyphellia margaritacea; Bouillonia sp.; Bythocaris curvirostris; Bythocaris payeri; Caulophacus arcticus; Centromedon typhlops; Cerianthus sp.; Cirroteuthis muelleri; Cladorhiza sp.; Craniella cranium; Cuspidaria centobi; Date/Time of event; Date/Time of event 2; Dinonemertes alberti; Echiurus echiurus; Elevation of event; Elevation of event 2; Elpidia heckeri; Eucratea loricata; Eudendrium ramosum; Eurycope inermis; Eurythenes gryllus; Event label; Geodia phlegraei; Halice abyssi; Hippomedon cf. frigidus; Hyalopomatus claparedii; Hymenodora glacialis; Ice-station; Katadesmia kolthoffi; Keratoisis sp.; Kolga hyalina; Latitude of event; Latitude of event 2; Leucothoe uschakovi; Longitude of event; Longitude of event 2; Macellicephala sp.; Mohnia danielsseni; Nolella cf. dilatata; Onisimus sextonae; Ophelina opisthobranchiata; Ophiostriatus striatus; Polarstern; Potamethus malmgreni; PS80/222-1; PS80/249-2; PS80/259-1; PS80/286-1; PS80/332-1; PS80/346-1; PS80/359-1; PS80 IceArc; Sertularia tenera; Siboglinum ekmani; Stephanoscyphus sp.; Sycon sp.; Terebellides atlantis; Thenea abyssorum; Tryphosella abyssalis; Turrisipho lachesis; Tylaster willei; Yoldiella annenkovae; Yoldiella frami
    Type: Dataset
    Format: text/tab-separated-values, 378 data points
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  • 12
    Publication Date: 2023-07-10
    Description: During the cruise ARK-XXVII/3 sampling of the megafauna was conducted by the Agassiz trawl (AGT) at seven stations. Agassiz trawls were taken along transects after the photographic survey by OFOS when the ice conditions were appropriate to obtain specimens to verify taxonomic identifications based on images. Also using the retrieved AGT samples wet biomass was estimated for each transect. Trawl samples were washed through a sieve with 1 mm mesh size, sorted and preserved in 4% buffered formaldehyde. Some specimens with calcareous skeleton were preserved in 80% ethanol for taxonomic identifications.
    Keywords: Abietinaria pulchra; Abyssoninoe sp.; Actiniaria; Agassiz Trawl; Aglaophamus malmgreni; AGT; Anobothrus laubieri; Arctic Ocean; ARK-XXVII/3; Asbestopluma sp.; Ascorhynchus abyssi; Bathycrinus carpenteri; Bathyphellia margaritacea; Bouillonia sp.; Bythocaris curvirostris; Bythocaris payeri; Caulophacus arcticus; Centromedon typhlops; Cerianthus sp.; Cirroteuthis muelleri; Cladorhiza sp.; Craniella cranium; Cuspidaria centobi; Date/Time of event; Date/Time of event 2; Dinonemertes alberti; Echiurus echiurus; Elevation of event; Elevation of event 2; Elpidia heckeri; Eucratea loricata; Eudendrium ramosum; Eurycope inermis; Eurythenes gryllus; Event label; Geodia phlegraei; Halice abyssi; Hippomedon cf. frigidus; Hyalopomatus claparedii; Hymenodora glacialis; Ice-station; Katadesmia kolthoffi; Keratoisis sp.; Kolga hyalina; Latitude of event; Latitude of event 2; Leucothoe uschakovi; Longitude of event; Longitude of event 2; Macellicephala sp.; Mohnia danielsseni; Nolella cf. dilatata; Onisimus sextonae; Ophelina opisthobranchiata; Ophiostriatus striatus; Polarstern; Potamethus malmgreni; PS80/222-1; PS80/249-2; PS80/259-1; PS80/286-1; PS80/332-1; PS80/346-1; PS80/359-1; PS80 IceArc; Sertularia tenera; Siboglinum ekmani; Stephanoscyphus sp.; Sycon sp.; Terebellides atlantis; Thenea abyssorum; Tryphosella abyssalis; Turrisipho lachesis; Tylaster willei; Yoldiella annenkovae; Yoldiella frami
    Type: Dataset
    Format: text/tab-separated-values, 376 data points
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  • 13
    Publication Date: 2024-02-16
    Description: In the Arctic, under-ice primary production is limited to summer months and is not only restricted by ice thickness and snow cover but also by the stratification of the water column, which constrains nutrient supply for algal growth. RV Polarstern visited the ice-covered Eastern Central basins between 82 to 89°N and 30 to 130°E in summer 2012 when Arctic sea ice declined to a record minimum. During this cruise, we observed a widespread deposition of ice algal biomass of on average 9 g C per m**2 to the deep-sea floor of the Central Arctic basins. Data from this cruise will contribute to assessing the impact of current climate change on Arctic productivity, biodiversity, and ecological function.
    Type: Dataset
    Format: application/zip, 2.2 kBytes
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  • 14
    Publication Date: 2024-04-20
    Description: Trait-based approaches that complement taxonomic-based studies have increased in popularity among the scientific community over the last decades. The collection of biological and ecological characteristics of species (i.e., traits) provides insight into species and ecosystem vulnerability to environmental and anthropogenic changes, as well as ecosystem functioning. While most of the available trait databases to date contain essential information to understand the functional diversity of a taxonomic group or functional group based on size, the FUN Azores trait database has an ecosystem-based approach that provides a comprehensive assessment of diverse fauna (meio-, macro-, and megafauna) from benthic and pelagic environments in the Azores Marine Park; including ridges, seamounts, and hydrothermal vents. We used a collaborative approach involving 30 researchers with different expertise to develop the trait database; which contains compiled data on 14 traits representing morphological, behavioral, and life history characteristics for 1210 species, across 10 phyla.
    Keywords: Azores; Azores_FUNTraits_2023; FunAzores; functional diversity; Functional traits and ecological processes in the Azores Marine Park : Understanding the biodiversity-ecosystem functioning; hydrothermal deep sea vent; Literature search; Literature survey; Marine Protected Area (MPA); Seamount; trait-based ecology; trait diversity; trait ecology
    Type: Dataset
    Format: text/plain, 1.6 MBytes
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  • 15
    Publication Date: 2024-04-18
    Keywords: ADEPD; AK43-4912GR; AK43-4913GR; AK43-4914GR; AK43-4916GR; AK43-4917GR; AK43-4918GR; AK43-4919GR; AK43-4920GR; Akademik Kurchatov; AKU43; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; Barcelona Coast; DEPTH, sediment/rock; DM43; DM43-4081GR; DM43-4084GR; DM43-4085GR; DM43-4100GR; Dmitry Mendeleev; Elevation of event; Event label; Guadiana Estuary; Latitude of event; Longitude of event; Meiofauna, abundance of metazoa; OKEAN; Okean Grab; Vityaz_14712; Vityaz (ex-Mars); Vityaz-65; VITYAZ7917GR; VITYAZ7926GR; VITYAZ7928GR; VITYAZ7930GR
    Type: Dataset
    Format: text/tab-separated-values, 16 data points
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  • 16
    Publication Date: 2024-04-18
    Keywords: ADEPD; AK11-1012TR; AK11-1013TR; AK11-1014TR; AK11-859TR; AK11-864TR; AK11-866TR; AK11-867TR; AK11-870TR; AK11-895TR; AK11-896TR; AK11-908TR; AK11-909TR; AK11-914TR; AK11-916TR; AK14-1202TR; AK14-1207TR; AK14-1208TR; AK14-1211TR; AK14-1212TR1; AK14-1212TR2; AK14-1221TR; AK14-1231TR; AK14-1232TR; AK14-1233TR; AK14-1272TR; AK14-1275TR; AK14-1292TR; AK40-4306TR; AK40-4381TR; AK40-4382TR; AK40-4383TR; AK40-4384TR; AK40-4387TR; AK40-4389TR; AK40-4390TR; AK40-4391TR; AK40-4392TR; AK43-4893TR; AK43-4897TR; AK43-4899TR; AK43-4900TR; AK43-4902TR; AK43-4903TR; AK43-4904TR; AK43-4905TR; AK43-4906TR; AK43-4907TR; AK43-4910TR; AK43-4912TR; AK43-4913TR; AK43-4919TR; AK43-4934TR; AK43-4955TR; Akademik Kurchatov; Akademik Mstislav Keldysh; AKU11; AKU14; AKU40; AKU43; AMK36; AMK36-3482TR; AMK36-3495TR; AMK36-3500TR; AMK36-3544TR; AMK36-3555TR; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; Barcelona Coast; Cape Basin; Cork Harbour; Deposit feeder abundance; DEPTH, sediment/rock; DM43; DM43-4086TR; DM43-4090TR; DM43-4097TR; DM43-4103; DM43-4104TR; DM43-4105TR; DM43-4107TR; DM43-4109TR; Dmitry Mendeleev; Elevation of event; Event label; Guadiana Estuary; Latitude of event; Limfjorden; Longitude of event; MULT; Multiple investigations; Oder Estuary; Orkney Trench; Pertuis Charentais; Quaternary Environment of the Eurasian North; QUEEN; Scheldt Delta Estuary; SIGSBY; Sigsby trawl; Southern Ocean; Suspension feeder abundance; Thau Lagoon; TRAWL; Trawl net; Vityaz_14712; Vityaz (ex-Mars); Vityaz-65; VITYAZ7938TR; VITYAZ7940TR; VITYAZ7941TR; VITYAZ7943TR
    Type: Dataset
    Format: text/tab-separated-values, 132 data points
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  • 17
    Publication Date: 2024-02-16
    Description: A photographic survey was carried out during the expedition ARK-XXVII/3 to the Nansen and Amundsen basins. The seafloor was photographed using a towed Ocean Floor Observation System (OFOS). Nine transects were performed: four in the Nansen Basin between 83-84°N and 18-110°E at depths 3571-4066 m, and five in the Amundsen Basin between 83-89°N and 56-131°E at depths 4041-4384 m. All images were analysed and stored using the image analysis program and database BIIGLE (www.BIIGLE.de). The laser points were used for calculation of the seafloor surface area on images. Visible megafauna was counted and identified to the lowest possible taxonomic level. The number of different taxa on each image was converted to individuals per m² (density). Total megafauna density (±standard deviation) was calculated for each transect. The mean taxa biomass per m² and the total megafauna biomass per m² were roughly estimated for each transect. The mean biomass (preserved wet weight) was calculated based on the wet weight of preserved individuals sampled by trawls. For taxa with insufficient trawl data the biomass was estimated using the biomass data of congeneric taxa or taxa with similar body shape; in some cases such taxa were excluded from analyses. The coverage of seafloor by algae aggregations and their remains was calculated based on sixty images at each transect using ImageJ software. Images for this analysis were chosen with equal spatial intervals depending on the total number of images within a transect. Several environmental parameters were measured at the ice stations.
    Keywords: Algal cover; Arctic Ocean; Area; ARK-XXVII/3; Date/Time of event; Date/Time of event 2; Elevation of event; Elevation of event 2; Event label; Ice-station; Latitude of event; Latitude of event 2; Length of transect; Longitude of event; Longitude of event 2; Megafauna, biomass, wet mass; Megafauna, standard deviation; Megafauna abundance; Number of photos; Ocean Floor Observation System; OFOS; Polarstern; PS80/228-1; PS80/239-1; PS80/257-1; PS80/282-1; PS80/327-1; PS80/340-1; PS80/356-1; PS80/369-1; PS80/392-1; PS80 IceArc
    Type: Dataset
    Format: text/tab-separated-values, 72 data points
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  • 18
    Publication Date: 2024-04-24
    Description: Background: The growing interest in mineral resources of the deep sea, such as seafloor massive sulfide deposits, has led to an increasing number of exploration licenses issued by the International Seabed Authority. In the Indian Ocean four license areas exist, resulting in an increasing number of new hydrothermal vent fields and the discovery of new species. Most studies focus on active venting areas including their ecology, but the non-vent megafauna of the Central Indian Ridge and South East Indian Ridge remains poorly known. In the framework of the Indian Ocean Exploration project in the German license area for seafloor massive sulfides, baseline imagery and sampling surveys were conducted yearly during research expeditions from 2013 to 2018, using video sledges and Remotely Operated Vehicles. New information: This is the first report of an imagery collection of megafauna from the southern Central Indian- and South East Indian Ridge, reporting the taxonomic richness and their distribution. A total of 218 taxa were recorded and identified based on imagery, with additional morphological and molecular confirmed identifications of 20 taxa from 89 sampled specimens. The compiled fauna catalogue is a synthesis of megafauna occurrences aiming at a consistent morphological identification of taxa and showing their regional distribution. The imagery data was collected during multiple research cruises in different exploration clusters of the German license area, located 500 km north of the Rodriguez Triple Junction along the Central Indian Ridge and 500 km southeast of it along the Southeast Indian Ridge .
    Keywords: 64PE394; 64PE405; 64PE446; Area/locality; Associated Specimens; Behavior; Biodiversity; biodiversity - ecosystem functioning; Camera equipment; Central Indian Ridge; Class; Coordinate uncertainty; Counted; Cruise/expedition; DATE/TIME; Deep-sea mining; DEPTH, water; ELEVATION; Event label; Exposure; Family; fauna catalogue; Focal length; Frame Code; Gear; Genus; Geodetic system; Geographic name/locality; Hydrothermal activity; Hydrothermal vent, age; Hydrothermal vent site, activity; Identification; Identification qualifier; Identification remarks; Image; Image area; Index; INDEX; INDEX2013; INDEX2014; INDEX2014-24VS; INDEX2014-28VS; INDEX2014-31VS; INDEX2014-33VS; INDEX2014-43VS; INDEX2014-44VS; INDEX2014-46VS; INDEX2014-47VS; INDEX2014-49VS; INDEX2014-54VS; INDEX2014-55VS; INDEX2015; INDEX2015-37ROV; INDEX2015-43ROV; INDEX2015-45ROV; INDEX2015-46VS; INDEX2015-47ROV; INDEX2015-48VS; INDEX2015-49ROV; INDEX2015-51ROV; INDEX2015-52VS; INDEX2015-53ROV; INDEX2015-54VS; INDEX2015-56ROV; INDEX2015-58ROV; INDEX2015-59VS; INDEX2015-60ROV; INDEX2015-61VS; INDEX2015-62ROV; INDEX2016; INDEX2016_06ROV; INDEX2016_12ROV; INDEX2016_16ROV; INDEX2016_20ROV; INDEX2016-02ROV; INDEX2017; INDEX2018; INDEX2018-57ROPOS; INDEX2018-59ROPOS; INDEX2018-61ROPOS; INDEX2018-63ROPOS; INDEX2018-65ROPOS; INDEX2018-67ROPOS; INDEX2018-70ROPOS; INDEX2018-71ROPOS; INDEX2018-73ROPOS; INDEX2018-75ROPOS; INDEX2018-80ROPOS; INDEX2018-82ROPOS; INDEX2018-85ROPOS; INDEX2018-95ROPOS; INDEX2018-97ROPOS; INDEX2018-99ROPOS; Indian Ocean; Institution; ISO-speed; Kingdom; Language; LATITUDE; Leg Number; Life stage; LONGITUDE; Marine polymetallic sulphides (INDEX) – Germany's exploration license in the Indian Ocean; Marker; Method comment; Name; Number of individuals; Occurrence; Ocean Floor Observation System; OFOS; Order; PCR result; Pelagia; Photograph frame code; photographs; Phylum; Pourquoi Pas ? (2005); Remote operated platform for oceanography; Remote operated vehicle; Rodriguez Triple Junction; ROPOS; ROV; Salinity; Sample area/volume; Sampled; Sample ID; Scientific Name authorship; Sequence result; SO230-17-1; SO230-28-1; SO230-31-1; SO230-35-1; SO230-36-1; SO230-38-1; SO230-39-1; SO230-47-1; SO230-49-1; SO230-51-1; SO230-55-1; SO230-57-1; SO230-59-1; SO230-62-1; SO259; SO259_74-1; SO259_83-1; SO259_86-1; SO259_94-1; SOIndex2013; SOIndex2013_17-1; SOIndex2013_28-1; SOIndex2013_31-1; SOIndex2013_35-1; SOIndex2013_36-1; SOIndex2013_38-1; SOIndex2013_39-1; SOIndex2013_44-1; SOIndex2013_47-1; SOIndex2013_49-1; SOIndex2013_51-1; SOIndex2013_55-1; SOIndex2013_57-1; SOIndex2013_59-1; SOIndex2013_62-1; Sonne; Sonne_2; South East Indian Ridge; Species identification; Station label; Taxonomist; Taxon rank; Temperature, water; Tissue Descriptor; Transect; Type; Underwater Video system; Use; UWV; Vessel; VICTOR; Victor6000 ROV; Video/photo sled ID code; video imagery; Video sled; VIDS; Voucher Specimen Code; Water Body; Year of observation
    Type: Dataset
    Format: text/tab-separated-values, 106499 data points
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  • 19
    Publication Date: 2018-02-23
    Description: With increasing demand for mineral resources, extraction of polymetallic sulphides at hydrothermal vents, cobalt-rich ferromanganese crusts at seamounts, and polymetallic nodules on abyssal plains may be imminent. Here, we shortly introduce ecosystem characteristics of mining areas, report on recent mining developments, and identify potential stress and disturbances created by mining. We analyze species’ potential resistance to future mining and perform meta-analyses on population density and diversity recovery after disturbances most similar to mining: volcanic eruptions at vents, fisheries on seamounts, and experiments that mimic nodule mining on abyssal plains. We report wide variation in recovery rates among taxa, size, and mobility of fauna. While densities and diversities of some taxa can recover to or even exceed pre-disturbance levels, community composition remains affected after decades. The loss of hard substrata or alteration of substrata composition may cause substantial community shifts that persist over geological timescales at mined sites.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev , info:eu-repo/semantics/article
    Format: application/pdf
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  • 20
    Publication Date: 2018-07-23
    Description: Mining polymetallic nodules on abyssal plains will have adverse impacts on deep‐sea ecosystems, but it is largely unknown whether the impacted ecosystem will recover, and if so at what rate. In 1989 the “DISturbance and reCOLonization” (DISCOL) experiment was conducted in the Peru Basin where the seafloor was disturbed with a plough harrow construction to explore the effect of small‐scale sediment disturbance from deep‐sea mining. Densities of Holothuroidea in the region were last investigated 7 yr post‐disturbance, before 19 yr later, the DISCOL site was re‐visited in 2015. An “ocean floor observatory system” was used to photograph the seabed across ploughed and unploughed seafloor and at reference sites. The images were analyzed to determine the Holothuroidea population density and community composition, which were combined with in situ respiration measurements of individual Holothuroidea to generate a respiration budget of the study area. For the first time since the experimental disturbance, similar Holothuroidea densities were observed at the DISCOL site and at reference sites. The Holothuroidea assemblage was dominated by Amperima sp., Mesothuria sp., and Benthodytes typica, together contributing 46% to the Holothuroidea population density. Biomass and respiration were similar among sites, with a Holothuroidea community respiration of 5.84 x-10-4 +/- 8.74 x 10-5 10−5 mmol C m−2 d−1 at reference sites. Although these results indicate recovery of Holothuroidea, extrapolations regarding recovery from deep‐sea mining activities must be made with caution: results presented here are based on a relatively small‐scale disturbance experiment as compared to industrial‐scale nodule mining, and also only represent one taxonomic class of the megafauna.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev , info:eu-repo/semantics/article
    Format: application/pdf
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