GLORIA

GEOMAR Library Ocean Research Information Access

X
feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
Document type
Keywords
Publisher
Language
Years
  • 1
    Book
    Book
    Identification of seafloor provinces : specific applications at the deep-sea Håkon Mosby Mud Volcano and the North Sea = Identifikation von Meeresboden-Provinzen : Fallstudien am Tiefsee-Schlammvulkan Håkon Mosby und in der Nordsee (2007)
    Bremerhaven : Alfred-Wegener-Inst. für Polar- und Meeresforschung
    Details Availability
    Keywords: Ocean bottom ; Mud volcanoes ; Deep sea ecology ; Hochschulschrift ; Nordsee-Senke ; Schlammvulkan ; Gesteinsprovinz ; Schildvulkan ; Barentssee ; Nordsee ; Meeresboden ; Meeresgeologie ; Schlammvulkan ; Daten ; Nordsee ; Meeresboden ; Vulkan
    Type of Medium: Book
    Pages: XIII, 165 S. , Ill., graph. Darst., Kt.
    Series Statement: Berichte zur Polar- und Meeresforschung 542
    URL: http://www.gbv.de/dms/hebis-darmstadt/toc/184221706.pdf
    RVK:
    RY 20075
    RVK:
    TI 7300
    Language: English
    Note: Mit e. Zsfass. in engl. u. dt. Sprache , Zugl.: Bremen, Univ., Diss., 2006
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    GEOMAR CATALOGUE
    Link to Library Catalog
    get availability status
  • 2
    facet.materialart.
    Unknown
    Optical observations and spatio-temporal projections of gelatinous zooplankton in the Fram Strait, a gateway to a changing Arctic Ocean (2023)
    Frontiers
    Details
    Publication Date: 2024-02-07
    Description: Global warming causes profound environmental shifts in the Arctic Ocean, altering the composition and structure of communities. In the Fram Strait, a transitional zone between the North-Atlantic and Arctic Ocean, climate change effects are particularly pronounced and accelerated due to an increased inflow of warm Atlantic water. Gelatinous zooplankton are known as key predators, consuming a great variety of prey and playing an important role in marine ecosystems. Insufficient knowledge of how gelatinous zooplankton are affected by environmental change has resulted in a notable gap in the understanding of the future state of Arctic ecosystems. We analyzed the diversity and abundance of gelatinous zooplankton down to 2600 m depth and established the first regional baseline dataset using optical observations obtained by the towed underwater camera system PELAGIOS (Pelagic In situ Observation System). Our data estimate the abundance of 20 taxa of gelatinous zooplankton. The most abundant taxa belong to the family of Rhopalonematidae, mainly consisting of Aglantha digitale and Sminthea arctica, and the suborder Physonectae. Using the observational data, we employed a joint species distribution modelling approach to better understand their distributional patterns. Variance partitioning over the explanatory variables showed that depth and temperature explained a substantial amount of variation for most of the taxa, suggesting that these parameters drive diversity and distribution. Spatial distribution modelling revealed that the highest abundance and diversity of jellyfish are expected in the marginal sea-ice zones. By coupling the model with climate scenarios of environmental changes, we were able to project potential changes in the spatial distribution and composition of gelatinous communities from 2020 to 2050 (during the summer season). The near-future projections confirmed that with further temperature increases, gelatinous zooplankton communities in the Fram Strait would become less diverse but more abundant. Among taxa of the Rhopalonematidae family, the abundance of Aglantha digitale in the entire water column would increase by 2%, while a loss of up to 60% is to be expected for Sminthea arctica by 2050. The combination of in situ observations and species distribution modelling shows promise as a tool for predicting gelatinous zooplankton community shifts in a changing ocean.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
    Format: other
    Format: other
    Format: text
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 3
    facet.materialart.
    Unknown
    Crabeater seals (Lobodon carcinophaga) in the Weddell Sea during DRE1998 campaign
    PANGAEA
    In:  Supplement to: Nachtsheim, Dominik A; Jerosch, Kerstin; Hagen, Wilhelm; Plötz, Joachim; Bornemann, Horst (2016): Habitat modelling of crabeater seals (Lobodon carcinophaga) in the Weddell Sea using the multivariate approach Maxent. Polar Biology, 40(5), 961-976, https://doi.org/10.1007/s00300-016-2020-0
    Details
    Publication Date: 2023-05-12
    Description: The crabeater seal (Lobodon carcinophaga) is the most abundant Antarctic seal and inhabits the circumpolar pack ice zone of the Southern Ocean. Until now, information on important environmental factors affecting its distribution as well as on foraging behaviour is limited. In austral summer 1998, 12 crabeater seals of both sexes and different age classes were equipped with satellitelinked dive recorders at Drescher Inlet (72.85°S, 19.26°E), eastern Weddell Sea. To identify suitable habitat conditions within the Weddell Sea, a maximum entropy (Maxent) modelling approach was implemented. The model revealed that the eastern and southern Weddell Sea is especially suitable for crabeater seals. Distance to the continental shelf break and sea ice concentration were the two most important parameters in modelling species distribution throughout the study period. Model predictions demonstrated that crabeater seals showed a dynamic response to their seasonally changing environment emphasized by the favoured sea ice conditions. Crabeater seals utilized ice-free waters substantially, which is potentially explained by the comparatively low sea ice cover of the Weddell Sea during summer 1998. Diving behaviour was characterized by short (〉90 % = 0-4 min) and shallow (〉90 % = 0-51 m) dives. This pattern reflects the typical summer and autumn foraging behaviour of crabeater seals. Both the distribution and foraging behaviour corresponded well with the life history of the Antarctic krill (Euphausia superba), the preferred prey of crabeater seals. In general, predicted suitable habitat conditions were congruent with probable habitats of krill, which emphasizes the strong dependence on their primary prey.
    Keywords: Marine Mammal Tracking; MMT
    Type: Dataset
    Format: application/zip, 55 datasets
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 4
    facet.materialart.
    Unknown
    Crabeater seals (Lobodon carcinophaga) in the Weddell Sea during DRE1998 campaign, with link to shapefiles of filtered and unfiltered seal locations for ArcGIS visualisation (2015)
    PANGAEA
    Details
    Publication Date: 2023-04-21
    Keywords: DrescherInlet; Marine Mammal Tracking; MMT
    Type: Dataset
    Format: application/zip, 277.8 kBytes
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 5
    facet.materialart.
    Unknown
    Crabeater seals (Lobodon carcinophaga) in the Weddell Sea during DRE1998 campaign, with link to files of gridded seal locations and environmental parameters for Maxent analyses (2015)
    PANGAEA
    Details
    Publication Date: 2023-04-21
    Keywords: DrescherInlet; Marine Mammal Tracking; MMT
    Type: Dataset
    Format: application/zip, 8.3 MBytes
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 6
    facet.materialart.
    Unknown
    Bathymetrical Map of the North Sea, Skagerrak and Kattegat (2006)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2023-03-16
    Type: Dataset
    Format: application/zip, 3.9 MBytes
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 7
    facet.materialart.
    Unknown
    A geomorphological seabed classification for the Weddell Sea, Antarctica, with links to ArcGIS project files (2015)
    PANGAEA
    In:  Supplement to: Jerosch, Kerstin; Kuhn, Gerhard; Krajnik, Ingo; Scharf, Frauke Katharina; Dorschel, Boris (2015): A geomorphological seabed classification for the Weddell Sea, Antarctica. Marine Geophysical Research, https://doi.org/10.1007/s11001-015-9256-x
    Details
    Publication Date: 2023-10-28
    Description: Sea floor morphology plays an important role in many scientific disciplines such as ecology, hydrology and sedimentology since geomorphic features can act as physical controls for e.g. species distribution, oceanographically flow-path estimations or sedimentation processes. In this study, we provide a terrain analysis of the Weddell Sea based on the 500 m × 500 m resolution bathymetry data provided by the mapping project IBCSO. Seventeen seabed classes are recognized at the sea floor based on a fine and broad scale Benthic Positioning Index calculation highlighting the diversity of the glacially carved shelf. Beside the morphology, slope, aspect, terrain rugosity and hillshade were calculated. Applying zonal statistics to the geomorphic features identified unambiguously the shelf edge of the Weddell Sea with a width of 45-70 km and a mean depth of about 1200 m ranging from 270 m to 4300 m. A complex morphology of troughs, flat ridges, pinnacles, steep slopes, seamounts, outcrops, and narrow ridges, structures with approx. 5-7 km width, build an approx. 40-70 km long swath along the shelf edge. The study shows where scarps and depressions control the connection between shelf and abyssal and where high and low declination within the scarps e.g. occur. For evaluation purpose, 428 grain size samples were added to the seabed class map. The mean values of mud, sand and gravel of those samples falling into a single seabed class was calculated, respectively, and assigned to a sediment texture class according to a common sediment classification scheme.
    Keywords: AWI_GeoPhy; AWI_Paleo; File name; File size; Marine Geophysics @ AWI; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; South Atlantic; Southern_Ocean_Atlantic_sector; SPP1158; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 9 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 8
    facet.materialart.
    Unknown
    Present and future potential distribution of cold-water corals in the Weddell Sea (N Antarctica) modelled with Biomod2 (2023)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publication Date: 2023-09-05
    Description: Interests in exploring Cold Water Corals (CWC) ecosystems witnessed a dramatic increase in the last decades, after the realisation that their habitats are threatened by ocean warming and acidification. However, they are still largely overlooked by the scientific community in deep and harsh environments like the Southern Ocean. Recent advances in species distribution models (SDM) have allowed forecasting species distribution patterns and assessing climate change impacts at different spatial scales. Several limitations related to the accuracy of species presences, the lack of reliable absence data and the limited spatial resolution of environmental factors, have restricted the widespread utilisation of these approaches in polar areas. In this work, real presence-absence records of 13 species were gathered from research expeditions and literature and combined with model-generated pseudo-absences, to cover the study area. Moreover, a final set of 14 high-resolution environmental variables was pre-selected and nine species distribution modelling algorithms were merged with means of the ensemble forecasting platform 'biomod2' to model the habitat suitability for azooxanthallate scleractinian corals, in the Weddell Sea. 'Biomod2' is implemented in 'R' and is a freeware, open source package. Response of scleractinian distribution to the future climate change was also investigated, based on two future scenarios of the bottom sea temperature. Present ensemble prediction maps accurately captured the potential ecological niches of the modelled species (good to excellent true skill statistic (TSS) and area under the receiver operating characteristic curve (AUC) evaluation measures). In the Weddell Sea, scleractinian distribution is limited to the continental shelf and slope areas with preference to small scale features (i.e., seamounts), which have been identified as having a high probability of supporting cold-water coral habitat. The most important factors in determining CWC habitat suitability were distance to coast and ice shelves, bathymetry, calcium carbonate and temperature. The response of scleractinian to future climate revealed some changes in small-scale spatial distribution patterns. Under warmer conditions, the CWC will probably expand their distribution range by a total of 6 to 10%, by 2037 and 2150 respectively, compared to the present. This expansion would concern the Filchner Trough and the adjacent continental shelves as well as the eastern side of the Antarctic Peninsula.
    Keywords: File content; File format; File name; File size; Uniform resource locator/link to file; Weddell_Sea
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 9
    facet.materialart.
    Unknown
    Benthic organic carbon flux and oxygen penetration depth in the Southern Ocean (2009)
    PANGAEA
    In:  Supplement to: Sachs, Oliver; Sauter, Eberhard-Jürgen; Schlüter, Michael; Rutgers van der Loeff, Michiel M; Jerosch, Kerstin; Holby, Ola (2009): Benthic organic carbon flux and oxygen penetration reflect different plankton provinces in the Southern Ocean. Deep Sea Research Part I: Oceanographic Research Papers, 56(8), 1319-1335, https://doi.org/10.1016/j.dsr.2009.02.003
    Details
    Publication Date: 2024-02-29
    Description: For the investigation of organic carbon fluxes reaching the seafloor, oxygen microprofiles were measured at 145 sites in different sub-regions of the Southern Ocean. At eleven sites, an in situ oxygen microprofiler was deployed for the measurement of oxygen profiles and the calculation of organic carbon fluxes. At four sites, both in situ and ex situ data were determined for high latitudes. Based on this dataset as well as on previous published data, a relationship was established for the estimation of fluxes derived by ex situ measured O2 profiles. The fluxes of labile organic matter range from 0.5 to 37.1 mgC m**2/day. The high values determined by in situ measurements were observed in the Polar Front region (water depth of more than 4290 m) and are comparable to organic matter fluxes observed for high-productivity, upwelling areas like off West Africa. The oxygen penetration depth, which reflects the long-term organic matter flux to the sediment, was correlated with assemblages of key diatom species. In the Scotia Sea (~3000 m water depth), oxygen penetration depths of less than 15 cm were observed, indicating high benthic organic carbon fluxes. In contrast, the oxic zone extends down to several decimeters in abyssal sediments of the Weddell Sea and the southeastern South Atlantic. The regional pattern of organic carbon fluxes derived from micro-sensor data suggest that episodic and seasonal sedimentation pulses are important for the carbon supply to the seafloor of the deep Southern Ocean.
    Keywords: Adelaide Island; Agulhas Basin; Amundsen Sea; Antarctic Peninsula; ANT-V/4; ANT-VI/2; ANT-VI/3; ANT-VIII/3; ANT-VIII/6; ANT-X/5; ANT-X/6; ANT-XI/3; ANT-XXI/4; ANT-XXIV/2; Anvers Island; Area/locality; Atka Bay; Atlantic Ridge; AWI_Paleo; B_LANDER; Barents Sea; BC; Bellingshausen Sea; Benthic Oxygen Lander System; Biological province; BOLAS; Bottom lander; Box corer; Bransfield Strait; Calculated; Camp Norway; Carbon, organic, flux; Comment; CTD/Rosette; CTD-RO; DATE/TIME; Depth, bathymetric; DEPTH, sediment/rock; Drake Passage; Eastern Weddell Sea, Southern Ocean; ECOFER; Event label; Factor; Filchner Shelf; Filchner Trough; Fram Strait; Gear; Giant box corer; GKG; Gravity corer (Kiel type); H1; H2; Halley Bay; Kapp Norvegia; KTB-06; KTB-11; KTB-13; KTB-16; KTB-19; KTB-23; KTB-26; KTB-28; KTB-33; Latitude of event; Lazarev Sea; Le Suroît; Longitude of event; Lyddan Island; M3; Marguerite Bay; MUC; MultiCorer; Oxygen, microelectrode; Oxygen penetration depth; Oxygen penetration depth, standard deviation; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; PS10; PS10/672; PS10/675; PS10/678; PS10/684; PS10/686; PS10/688; PS10/690; PS10/694; PS10/697; PS10/699; PS10/701; PS10/703; PS10/707; PS10/711; PS10/719; PS10/725; PS10/738; PS10/740; PS10/748; PS10/757; PS10/760; PS10/762; PS10/766; PS10/778; PS10/782; PS10/784; PS10/794; PS10/804; PS10/813; PS10/816; PS10/818; PS10/820; PS10/824; PS12; PS12/116; PS12/128; PS12/143; PS12/186; PS12/193; PS12/201; PS12/300; PS12/310; PS12/312; PS12/319; PS12/336; PS12/338; PS12/340; PS12/348; PS12/374; PS12/380; PS12/458; PS12/465; PS12/472; PS12/486; PS12/490; PS12/526; PS1472-1; PS1474-1; PS1475-1; PS1477-1; PS1478-1; PS1479-1; PS1480-2; PS1481-2; PS1482-2; PS1483-2; PS1484-2; PS1485-1; PS1486-2; PS1487-1; PS1488-2; PS1489-3; PS1490-2; PS1491-3; PS1492-1; PS1493-2; PS1494-3; PS1495-1; PS1496-2; PS1498-1; PS1499-2; PS1500-2; PS1501-1; PS1502-1; PS1505-1; PS1506-2; PS1507-2; PS1508-2; PS1509-2; PS1537-2; PS1543-1; PS1549-1; PS1555-2; PS1557-1; PS1565-3; PS1590-1; PS1595-2; PS1596-2; PS1599-2; PS16; PS16/267; PS16/281; PS16/294; PS16/306; PS16/311; PS16/321; PS16/337; PS16/342; PS16/362; PS16/515; PS16/516; PS16/540; PS16/549; PS16/559; PS1605-2; PS1606-2; PS1607-2; PS1611-4; PS1622-2; PS1625-2; PS1635-3; PS1636-2; PS1637-2; PS1638-2; PS1639-2; PS1645-2; PS1751-2; PS1755-7; PS1759-1; PS1765-1; PS1768-1; PS1772-6; PS1776-6; PS1777-7; PS1782-6; PS1811-1; PS1812-1; PS1823-5; PS1826-6; PS1832-4; PS22; PS22/712; PS22/714; PS22/721; PS22/769; PS22/773; PS22/776; PS22/786; PS22/788; PS22/790; PS22/791; PS22/797; PS22/802; PS22/803; PS22/804; PS22/805; PS22/810; PS22/812; PS22/813; PS22/814; PS22/815; PS22/816; PS22/860; PS22/872; PS22/876; PS22/891; PS22/899; PS22/902; PS22/917; PS22/941; PS22/947; PS22/973; PS22 06AQANTX_5; PS2257-1; PS2258-1; PS2262-1; PS2276-2; PS2278-5; PS2280-1; PS2288-1; PS2290-1; PS2292-1; PS2293-1; PS2299-1; PS2304-2; PS2305-1; PS2306-1; PS2307-2; PS2312-1; PS2314-1; PS2315-1; PS2316-1; PS2317-1; PS2318-1; PS2357-2; PS2361-1; PS2362-1; PS2365-1; PS2365-2; PS2366-1; PS2367-1; PS2370-4; PS2371-1; PS2372-1; PS2376-1; PS2376-4; PS2522-1; PS2527-1; PS2528-1; PS2537-1; PS2538-1; PS2539-2; PS2542-1; PS2543-3; PS2546-1; PS2547-2; PS2548-2; PS2550-1; PS2553-2; PS2556-1; PS29; PS29/010; PS29/021; PS29/022; PS29/045; PS29/046; PS29/047; PS29/050; PS29/051; PS29/062; PS29/063; PS29/064; PS29/066; PS29/070; PS29/075; PS65; PS65/594-3; PS65/596-2; PS65/598-1; PS65/600-1; PS65/600-2; PS65/701-2; PS65/703-1; PS65/703-2; PS65/705-1; PS71/013-12; PS71/013-2; PS71/017-12; PS71/033-19; PS71/039-10; PS71/039-4; PS71/047-1; PS71/084-1; PS71/085-1; PS71/085-5; PS71/090-2; PS71 ANDEEP-SYSTCO SCACE; Reference of data; S1; S2; S6; S7; S8; S9; Sample method; Scotia Sea, southwest Atlantic; Season; Shona Ridge; SL; South Atlantic Ocean; South Sandwich Basin; SPP1158; Total mass, flux per day; Uniform resource locator/link to reference; Vestkapp; Weddell Sea; Wegener Canyon
    Type: Dataset
    Format: text/tab-separated-values, 1489 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 10
    facet.materialart.
    Unknown
    Environmental variables and multivariate seabed classification maps via k means clustering of Potter Cove, Antarctica, link to input and result files in GeoTIFF format (2016)
    PANGAEA
    In:  Supplement to: Jerosch, Kerstin; Scharf, Frauke Katharina; Pehlke, Hendrik; Weber, Lukas; Abele, Doris (in prep.): Explanation of the spatial distribution of physiochemical properties of Potter Cove, Antarctica, by classification of Potter Cove, Antarctica, via k means clustering, canonical-correlation analysis and multidimensional scaling.
    Details
    Publication Date: 2024-02-16
    Description: This study subdivides the Potter Cove, King George Island, Antarctica, into seafloor regions using multivariate statistical methods. These regions are categories used for comparing, contrasting and quantifying biogeochemical processes and biodiversity between ocean regions geographically but also regions under development within the scope of global change. The division obtained is characterized by the dominating components and interpreted in terms of ruling environmental conditions. The analysis includes in total 42 different environmental variables, interpolated based on samples taken during Australian summer seasons 2010/2011 and 2011/2012. The statistical errors of several interpolation methods (e.g. IDW, Indicator, Ordinary and Co-Kriging) with changing settings have been compared and the most reasonable method has been applied. The multivariate mathematical procedures used are regionalized classification via k means cluster analysis, canonical-correlation analysis and multidimensional scaling. Canonical-correlation analysis identifies the influencing factors in the different parts of the cove. Several methods for the identification of the optimum number of clusters have been tested and 4, 7, 10 as well as 12 were identified as reasonable numbers for clustering the Potter Cove. Especially the results of 10 and 12 clusters identify marine-influenced regions which can be clearly separated from those determined by the geological catchment area and the ones dominated by river discharge.
    Keywords: Carlini/Jubany Station; IMCOAST/IMCONet; Impact of climate induced glacier melt on marine coastal systems, Antarctica; Jubany_Dallmann; MULT; Multiple investigations; PotterCove; Potter Cove, King George Island, Antarctic Peninsula
    Type: Dataset
    Format: application/zip, 101.5 MBytes
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...