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  • 2020-2024  (14)
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  • 1
    Publication Date: 2023-08-25
    Description: Empirical and theoretical studies suggest that marine species respond to ocean warming by shifting ranges poleward and/or into deeper depths. However, future distributional patterns of deep-sea organisms, which comprise the largest ecosystem of Earth, remain poorly known. We explore potential horizontal range shifts of benthic shallow-water and deep-sea Crustacea due to climatic changes within the remainder of the century, and discuss the results in light of species-specific traits related to invasiveness. Using a maximum entropy approach, we estimated the direction and magnitude of distributional shifts for 94 species belonging to 12 orders of benthic marine crustaceans, projected to the years 2050 and 2100. Distance, direction, and species richness shifts between climate zones were estimated conservatively, by considering only areas suitable, non-extrapolative, and adjacent to the currently known distributions. Our hypothesis is that species will present poleward range-shifts, based on results of previous studies. Results reveal idiosyncratic and species-specific responses, with prevailing poleward shifts and a decline of species richness at mid-latitudes, while more frequent shifts between temperate to polar regions were recovered. Shallow-water species are expected to shift longer distances than deep-sea species. Net gain of suitability is slightly higher than the net loss for shallow-water species, while for deep-sea species, the net loss is higher than the gain in all scenarios. Our estimates can be viewed as a set of hypotheses for future analytical and empirical studies, and will be useful in planning and executing strategic interventions and developing conservation strategies.
    Description: Bundesministerium für Bildung und Forschung http://dx.doi.org/10.13039/501100002347
    Description: Senckenberg Gesellschaft für Naturforschung (SGN) (3507)
    Keywords: ddc:577.7 ; Climate change ; Deep-sea ; Shallow-water ; Distributional shift ; Ecological niche modeling ; Mobility-oriented parity metric (MOP)
    Language: English
    Type: doc-type:article
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  • 2
    Publication Date: 2023-09-21
    Description: The Central and South Atlantic represents a vast ocean area and is home to a diverse range of ecosystems and species. Nevertheless, and similar to the rest of the global south, the area is comparatively understudied yet exposed to increasing levels of multisectoral pressures. To counteract this, the level of scientific exploration in the Central and South Atlantic has increased in recent years and will likely continue to do so within the context of the United Nations (UN) Decade of Ocean Science for Sustainable Development. Here, we compile the literature to investigate the distribution of previous scientific exploration of offshore (30 m+) ecosystems in the Central and South Atlantic, both within and beyond national jurisdiction, allowing us to synthesise overall patterns of biodiversity. Furthermore, through the lens of sustainable management, we have reviewed the existing anthropogenic activities and associated management measures relevant to the region. Through this exercise, we have identified key knowledge gaps and undersampled regions that represent priority areas for future research and commented on how these may be best incorporated into, or enhanced through, future management measures such as those in discussion at the UN Biodiversity Beyond National Jurisdiction negotiations. This review represents a comprehensive summary for scientists and managers alike looking to understand the key topographical, biological, and legislative features of the Central and South Atlantic.
    Type: Book chapter , PeerReviewed
    Format: text
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  • 3
    Publication Date: 2023-02-08
    Description: Habitat heterogeneity and species diversity are often linked. On the deep seafloor, sediment variability and hard-substrate availability influence geographic patterns of species richness and turnover. The assumption of a generally homogeneous, sedimented abyssal seafloor is at odds with the fact that the faunal diversity in some abyssal regions exceeds that of shallow-water environments. Here we show, using a ground-truthed analysis of multibeam sonar data, that the deep seafloor may be much rockier than previously assumed. A combination of bathymetry data, ruggedness, and backscatter from a trans-Atlantic corridor along the Vema Fracture Zone, covering crustal ages from 0 to 100 Ma, show rock exposures occurring at all crustal ages. Extrapolating to the whole Atlantic, over 260,000 km2 of rock habitats potentially occur along Atlantic fracture zones alone, significantly increasing our knowledge about abyssal habitat heterogeneity. This implies that sampling campaigns need to be considerably more sophisticated than at present to capture the full deep-sea habitat heterogeneity and biodiversity.
    Type: Article , PeerReviewed
    Format: text
    Format: text
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  • 4
    Publication Date: 2024-02-07
    Description: The abyssal plains are vast areas without large scale relief that occupy much of the ocean floor. Although long considered relatively featureless, they are now known to display substantial biological heterogeneity across different spatial scales. Ecological research in these regions benefits increasingly from non-destructive visual sampling of epifaunal organisms with imaging technology. We analysed images from ultra-high-definition towed camera transects at depths of around 3500 m across three stations (100–130 km apart) in the Bering Sea, to ask whether the density and distribution of visible epifauna indicated any substantial heterogeneity. We identified 71 different megafaunal taxa, of which 24 occurred at only one station. Measurements of the two most abundant faunal elements, the holothurian Elpidia minutissima and two xenophyophores morphotypes (the more common identifiable as Syringammina limosa), indicated significant differences in local densities and patchy aggregations that were strikingly dissimilar among stations. One station was dominated by xenophyophores, one was relatively depauperate in both target taxa as well as other identified megafauna, and the third station was dominated by Elpidia. This is an unexpected level of variation within comparable transects in a well-mixed oceanic basin, reinforcing the emerging view that abyssal habitats encompass biological heterogeneity at similar spatial scales to terrestrial continental realms.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
    Format: text
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  • 5
    Publication Date: 2024-02-14
    Description: Ocean Census is a new Large-Scale Strategic Science Mission aimed at accelerating the discovery and description of marine species. This mission addresses the knowledge gap of the diversity and distribution of marine life whereby of an estimated 1 million to 2 million species of marine life between 75% to 90% remain undescribed to date. Without improved knowledge of marine biodiversity, tackling the decline and eventual extinction of many marine species will not be possible. The marine biota has evolved over 4 billion years and includes many branches of the tree of life that do not exist on land or in freshwater. Understanding what is in the ocean and where it lives is fundamental science, which is required to understand how the ocean works, the direct and indirect benefits it provides to society and how human impacts can be reduced and managed to ensure marine ecosystems remain healthy. We describe a strategy to accelerate the rate of ocean species discovery by: 1) employing consistent standards for digitisation of species data to broaden access to biodiversity knowledge and enabling cybertaxonomy; 2) establishing new working practices and adopting advanced technologies to accelerate taxonomy; 3) building the capacity of stakeholders to undertake taxonomic and biodiversity research and capacity development, especially targeted at low- and middle-income countries (LMICs) so they can better assess and manage life in their waters and contribute to global biodiversity knowledge; and 4) increasing observational coverage on dedicated expeditions. Ocean Census, is conceived as a global open network of scientists anchored by Biodiversity Centres in developed countries and LMICs. Through a collaborative approach, including co-production of science with LMICs, and by working with funding partners, Ocean Census will focus and grow current efforts to discover ocean life globally, and permanently transform our ability to document, describe and safeguard marine species.
    Type: Article , PeerReviewed
    Format: text
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  • 6
    Publication Date: 2023-04-13
    Description: We investigated the taxonomic composition and abundance of sea-ice meiofauna (here heterotrophs 〉10 µm) at eight ice stations on Arctic pack ice north of Svalbard. Sampling was conducted during spring in 2015 by sea-ice coring. The bottom 10 cm of each ice core was investigated for sea-ice meiofauna and abundances of individuals/m² were calculated from counting numbers.
    Keywords: Abundance; Amoebozoa; Arctic; Arctic Ocean; ARK-XXIX/1, TRANSSIZ; Campaign; Ciliophora; DATE/TIME; Event label; Gyrodinium; Harpacticoida; ICE; Ice station; LATITUDE; Location; LONGITUDE; Nauplii; pack ice; Podolampas; Polarstern; Polykrikos; Principal investigator; Protoperidinium; PS92; PS92/019-6; PS92/027-2; PS92/031-2; PS92/032-4; PS92/039-6; PS92/043-4; PS92/046-1; PS92/047-3; Rotifera; sea-ice meiofauna; Station label; Svalbard; sympagic fauna; Tintinnina; Type
    Type: Dataset
    Format: text/tab-separated-values, 120 data points
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  • 7
    Publication Date: 2023-07-10
    Description: We investigated the taxonomic composition and abundance of under-ice fauna (metazoans 〉300 µm) at fourteen stations in the Arctic Ocean, north of Svalbard. Sampling was conducted during spring in 2015 with the Surface and Under Ice Trawl (SUIT) and the catch of the plankton net (300 µm mesh size) was investigated for under-ice fauna. Abundances of individuals/m² were calculated from counting numbers.
    Keywords: Abundance; Apherusa glacialis; Appendicularia; Arctic; Arctic Ocean; ARK-XXIX/1, TRANSSIZ; Calanus finmarchicus; Calanus glacialis; Calanus hyperboreus; Campaign; Cast number; Chaetognatha; Cirripedia, larvae; Clausocalanidae; Clione limacina; DATE/TIME; Eukrohnia hamata; Eusirus spp.; Event label; Gear; Harpacticoida; Hydrozoa; Isopoda; LATITUDE; Limacina helicina; Location; LONGITUDE; Metridia longa; Nauplii; Oikopleura spp.; Oithona sp.; Onisimus glacialis; Osteichthyes, larvae; pack ice; Paraeuchaeta spp.; Parasagitta elegans; Polarstern; Polychaeta; Principal investigator; PS92; PS92/019-1; PS92/027-1; PS92/028-4; PS92/031-1; PS92/032-12; PS92/038-1; PS92/039-17; PS92/043-23; PS92/044-1; PS92/045-1; PS92/047-1; PS92/048-1; PS92/049-1; PS92/056-2; Station label; SUIT; Surface and under ice trawl; Svalbard; sympagic fauna; Themisto abyssorum; Themisto libellula; Themisto spp.; Thysanoessa longicaudata; Tisbe spp.; Trawling distance; Trochophora, larvae; under-ice fauna; Volume; Xenacoelomorpha; Zoaea, larvae
    Type: Dataset
    Format: text/tab-separated-values, 560 data points
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  • 8
    Publication Date: 2024-03-18
    Description: Peracarid abundance and composition were studied in the Atlantic Sector of the Southern Ocean and the Weddell Sea at a depth range of 403-2021 m. Samples were collected using an epibenthic sledge (EBS) during expeditions on board the RRS James Clarke Ross in the Filchner Trough (JR275), the South Orkney Islands (JR15005), the Prince Gustav Channel (JR17003a) and on board the RV Polarstern in the Eastern Antarctic Peninsula (PS118). Expeditions took place in February-March 2012, 2016, 2018 and 2019 respectively. Since the trawling distance between stations was not always the same, in order to make data comparable between different stations, numbers of individuals were standardized to 1000 m haul distances. In total 64766 peracarids were found and sorted into five different orders (Amphipoda, Cumacea, Isopoda, Mysidacea and Tanaidacea). Amphipods were the most abundant group representing the 32% of the total abundances. The Filchner Trough had the highest abundance of peracarids, while the South Orkney Islands showed the lowest abundance compared to other areas.
    Keywords: Amphipoda; Basis of event; Cruise/expedition; crustacea; Cumacea; Date/Time of event; EBS; Elevation of event; Elevation of event 2; Epibenthic sledge; Event label; Haul length; Isopoda; James Clark Ross; JR15005; JR15005_103; JR15005_115; JR15005_12; JR15005_133; JR15005_18; JR15005_27; JR15005_34; JR15005_57; JR15005_86; JR17003A; JR17003a_34; JR17003a_35; JR17003a_47; JR17003a_5; JR17003a_53; JR20120207; JR20120207_23; JR20120207_40; JR20120207_45; JR20120207_50; JR20120207_78; JR20120207_83; JR20120207_89; JR20120207_94; JR20120207_99; JR255B JR259, JR275; Latitude of event; Latitude of event 2; Location; Longitude of event; Longitude of event 2; Method/Device of event; Mysidacea; Peracarida; Polarstern; Prince Gustav Channel; PS118; PS118_12-7; PS118_38-9; PS118_6-5; PS118_6-6; PS118_9-5; Station label; Tanaidacea; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 252 data points
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  • 9
    Publication Date: 2024-04-03
    Description: Underway temperature and salinity data was collected along the cruise track with two autonomous measurement systems, called self-cleaning monitoring boxes (SMBs). Usually, the SMBs are changed after ~24 hours. While temperature is taken at the water inlet in about 4 m depth, salinity is estimated within the SMB from conductivity and interior temperature. No temperature calibration was performed. Salinity was calibrated against discrete water samples from the inlet depth. For details to all processing steps see Data Processing Report.
    Keywords: AleutBio; Calculated from internal temperature and conductivity; Conductivity; DAM_Underway; DAM Underway Research Data; DATE/TIME; DEPTH, water; Digital oceanographic thermometer, Sea-Bird, SBE 38; LATITUDE; LONGITUDE; Measurement container; Quality flag, salinity; Quality flag, water temperature; Salinity; SALINO; Salinometer; Seadatanet flag: Data quality control procedures according to SeaDataNet (2010); SO293; SO293_0_Underway-4; Sonne_2; Temperature, water; Temperature, water, internal; Thermosalinograph; Thermosalinograph, Sea-Bird, SBE 45; TSG
    Type: Dataset
    Format: text/tab-separated-values, 370529 data points
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  • 10
    Publication Date: 2024-04-20
    Description: Multibeam bathymetry raw data was recorded in the Bering Sea and the North Pacific during AleutBio cruise SO293 that took place between 2022-07-24 and 2022-09-06. The data was collected using the ship's own Kongsberg EM 122 to assess marine habitats and to safely deploy gear in the survey areas. Transit data was also recorded in between. Furthermore, the results are integrated into the US Project Seascape Alaska that aims to fully map the U.S. waters off Alaska. Eight sound velocity profiles (SVP) and one SVP from the World Ocean Atlas (WOA09 DB) were applied on the data for calibration. SVP data are part of this dataset publication. Please see environmental data (zip file) and the cruise report for details.
    Keywords: AleutBio; Bathymetry; Bering Sea; Binary Object; Binary Object (File Size); Binary Object (Media Type); Comment; CTD/Rosette; CTD-RO; DAM_Underway; DAM Underway Research Data; Data file recording distance; Data file recording duration; DATE/TIME; ELEVATION; Event label; File content; Kongsberg datagram raw file name; LATITUDE; LONGITUDE; Multibeam Echosounder; North Pacific Ocean; Number of pings; Ship speed; SO293; SO293_0_Underway-1; SO293_10-1; SO293_1-1; SO293_12-1; SO293_14-1; SO293_2-1; SO293_4-1; SO293_6-1; SO293_8-1; Sonne_2; Start of data file, depth; Start of data file, heading; Start of data file recording, date/time; Start of data file recording, latitude; Start of data file recording, longitude; Stop of data file, depth; Stop of data file, heading; Stop of data file recording, date/time; Stop of data file recording, latitude; Stop of data file recording, longitude; Swath-mapping system Simrad EM122 (Kongsberg Maritime AS)
    Type: Dataset
    Format: text/tab-separated-values, 6074 data points
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