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
  • 1
    Online Resource
    Online Resource
    PANDAS - Programmable appliance for near-data processing accelerated storage : Schlussbericht : (Projektlaufzeit: 01.05.2019-30.07.2022) (2023)
    Darmstadt : Fachgebiet ESA, TU Darmstadt
    Details Availability
    Keywords: Forschungsbericht ; System-on-Chip ; Field programmable gate array ; Firmware
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (29 Seiten, 2,28 MB) , Diagramme
    URL: https://edocs.tib.eu/files/e01fb23/1876304170.pdf
    URL: https://doi.org/10.2314/KXP:1876304170
    DOI: 10.2314/KXP:1876304170
    Language: German
    Note: Förderkennzeichen BMBF 01IS18081C , Verbundnummer 01187589 , Literaturverzeichnis: Seite 25-26
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    GEOMAR CATALOGUE
    Link to Library Catalog
    get availability status
  • 2
    facet.materialart.
    Unknown
    Ecological niche modelling of cold-water corals in the Southern Ocean (N Antarctic), present distribution and future projections due to temperature changes (2019)
    In:  EPIC3Marine Ecology Progress Series, 628, pp. 73-93
    Details
    Publication Date: 2020-06-08
    Description: Urgent necessity to understand the effect of climatic change on scleractinian cold-water coral (CWC) ecosystems arises from increasing ocean warming and acidification over the last decades. Here, presence-absence records of 12 scleractinian CWC species from research expeditions and literature were compiled and merged with model-generated pseudo-absence data and 14 environmental variables. The best results of nine species distribution models (SDM) were combined to an ensemble habitat suitability model for CWCs in the northern Southern Ocean (Weddell Sea and Antarctic Peninsula) by means of the open source R package ‘biomod2’. Furthermore, two future scenarios of increasing bottom sea temperature were used to investigate the spatial response of scleractinians to temperature change. The resulting (current scenario) potential ecological niches were evaluated with good to excellent statistical measures. The results predict that present areas of highest probability of CWC occurrence are around the Antarctic Peninsula, South Orkney Islands and Queen Maud Land with preference to geomorphic features such as seamounts. The distribution of CWC habitats is mainly driven by distance to coast and ice shelves, bathymetry, benthic calcium carbonate, as well as temperature. Under warming conditions, CWCs are predicted to expand their distribution range by 6 and 10% in 2037 and 2150, respectively, compared to present distribution. The future models using increased bottom temperature revealed a stable CWC distribution for most parts of the study area. However, habitat shifts are expected to the Filchner Trough region, the adjacent continental shelves, as well as to the eastern side of the Antarctic Peninsula.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    PAPER (OA)
  • 3
    facet.materialart.
    Unknown
    Macroalgal distribution shifts during the climate change induced glacier retreat in Potter Cove, West Antarctic Peninsula, 1993-2016 (2017)
    In:  EPIC352 p.
    Details
    Publication Date: 2018-05-31
    Description: The West Antarctic Peninsula is one of the fastest changing regions on earth due to global warming. Consequent retreat of Fourcade Glacier in Potter Cove (PC), King George Is-land, released 1.5 km2 of newly ice-free water areas in the last 60 years. Macroalgae, important primary producers in the benthic Antarctic ecosystem, were evidenced to col-onize some of these areas. To reconstruct the spatial process of this shift, macroalgal transect data sets, first recorded in 1993 and last in 2016, as well as environmental pre-dictors are available owing to many years of field studies in PC. Species Distribution Models (SDMs) can statistically link species samples with raster predictors to project distribution maps. Macroalgal data is therefore prepared for modeling and grouped in three time steps, 1993-1996, 2008-2012 and 2016. Physical predictors for macroalgal dis-tribution used in this thesis are: Probability of hard substrate occurrence, suspended par-ticulate matter, bathymetry and slope. For each time step, SDMs are calculated for the species H. grandifolius, the grouped Desmarestia genus, remaining Phaeophyceae (brown algae) and Rhodophyceae (red algae). Community Maps, generated by classifying model results, are presented for the three time steps. They reveal information on species-richness and composition. Additionally a change raster is calculated for area gain and loss during a period between two time steps. In 1993-1996, 2.77 km2 of the study area was populated by algae. This area increased by 1.38 km2 to 4.15 km2 in 2016. 2008-2012 results confirm this growth. 0.5 km2 of this gain is located in areas, which were covered by glacier ice in 1956. Species of the class Rhodophyceae show as pioneers in exploring new habitable areas. Complexity and vertical distribution of macroalgal community is reduced in newly ice-free water areas near the glacier due to increased sediment input. Keywords: Macroalgae, Habitat shift, Species Distribution Models, Community maps, Change detection, Glacier retreat, Potter Cove, Antarctic Peninsula
    Repository Name: EPIC Alfred Wegener Institut
    Type: Thesis , notRev , info:eu-repo/semantics/other
    Format: application/pdf
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    PAPER (OA)
  • 4
    facet.materialart.
    Unknown
    Benthic meltwater fjord habitats formed by rapid glacier recession on King George Island, Antarctica (2018)
    ROYAL SOC
    In:  EPIC3Philosophical Transactions of the Royal Society A-Mathematical Physical and Engin, ROYAL SOC, 376, ISSN: 1364-503X
    Details
    Publication Date: 2019-05-13
    Description: The coasts of West Antarctic Peninsula are strongly influenced by glacier meltwater discharge. The spatial structure and biogeochemical composition of inshore habitats is shaped by large quantities of terrigenous particulate material deposited in the vicinity of the coast, which impacts the pelagic and benthic ecosystems. We used a multitude of geochemical and environmental variables to identify the radius extension of meltwater impact of Fourcade Glacier into the fjord system of Potter Cove, King George Island. K-means cluster algorithm, canonical correspondence analysis, variance analysis and post-hoc Tukey's multiple comparison test were applied to define and cluster coastal meltwater habitats. A minimum of 10 clusters was needed to classify the 8 km2 study area into meltwater fjord habitats (MFH), fjord habitats and marine habitats. Strontium content in surface sediments is the main geochemical indicator for lithogenic creek discharge in Potter Cove. Furthermore, bathymetry, glacier distance and geomorphic positioning are the essential habitat explaining variables. Mean and maximum MFH extent amounted to 1 km and 2 km, respectively. Extrapolation of the identified meltwater impact ranges to King George Island coastlines which are presently ice-covered bays and fjord areas indicate an overall coverage of 200–400 km2 MFH, underpinning the importance to better understand the biology and biogeochemistry in terrestrial marine transition zones.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev , info:eu-repo/semantics/article
    Format: application/pdf
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    PAPER (OA)
  • 5
    facet.materialart.
    Unknown
    Sea surface and the sea floor regionalization of the Southern Ocean by multivariate cluster analysis, links to ArcGIS project files (2016)
    PANGAEA
    In:  EPIC3PANGAEA
    Details
    Publication Date: 2022-09-07
    Description: This study subdivides the Weddell Sea, 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 uses 28 environmental variables for the sea surface, 25 variables for the seabed and 9 variables for the analysis between surface and bottom variables. The data were taken during the years 1983-2013. Some data were interpolated. The statistical errors of several interpolation methods (e.g. IDW, Indicator, Ordinary and Co-Kriging) with changing settings have been compared for the identification of the most reasonable method. 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. For the seabed 8 and 12 clusters were identified as reasonable numbers for clustering the Weddell Sea. For the sea surface the numbers 8 and 13 and for the top/bottom analysis 8 and 3 were identified, respectively. Additionally, the results of 20 clusters are presented for the three alternatives offering the first small scale environmental regionalization of the Weddell Sea. Especially the results of 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.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Other , NonPeerReviewed
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    PAPER (OA)
  • 6
    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:  EPIC3PANGAEA
    Details
    Publication Date: 2022-09-07
    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.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Other , NonPeerReviewed
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    PAPER (OA)
  • 7
    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
  • 8
    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
  • 9
    facet.materialart.
    Unknown
    Sea surface and the sea floor regionalization of the Southern Ocean by multivariate cluster analysis, links to ArcGIS project files (2016)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven | Supplement to: Jerosch, Kerstin; Pehlke, Hendrik; Weber, Lukas; Teschke, Katharina; Heidemann, Teresa; Scharf, Frauke Katharina (in prep.): Comparing the surface and the bottom of the Southern Ocean using multivariate cluster analysis: regional effects of environmental parameters.
    Details
    Publication Date: 2024-02-16
    Description: This study subdivides the Weddell Sea, 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 uses 28 environmental variables for the sea surface, 25 variables for the seabed and 9 variables for the analysis between surface and bottom variables. The data were taken during the years 1983-2013. Some data were interpolated. The statistical errors of several interpolation methods (e.g. IDW, Indicator, Ordinary and Co-Kriging) with changing settings have been compared for the identification of the most reasonable method. 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. For the seabed 8 and 12 clusters were identified as reasonable numbers for clustering the Weddell Sea. For the sea surface the numbers 8 and 13 and for the top/bottom analysis 8 and 3 were identified, respectively. Additionally, the results of 20 clusters are presented for the three alternatives offering the first small scale environmental regionalization of the Weddell Sea. Especially the results of 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: File format; File name; File size; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; SPP1158; Uniform resource locator/link to file; Weddell_Sea
    Type: Dataset
    Format: text/tab-separated-values, 16 data points
    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...