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  • 2020-2024  (12)
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  • 1
    Publication Date: 2024-02-07
    Description: Highlights • All known observations for Area of Particular Environmental Interest 6 presented. • Assess morphology, sediments, nodules, oceanography, biogeochemistry and ecology. • APEI-6 partially representative of nearby exploration areas yet clear differences. • Present scientific synthesis and management implications for Clarion Clipperton Zone. To protect the range of habitats, species, and ecosystem functions in the Clarion Clipperton Zone (CCZ), a region of interest for deep-sea polymetallic nodule mining in the Pacific, nine Areas of Particular Environmental Interest (APEIs) have been designated by the International Seabed Authority (ISA). The APEIs are remote, rarely visited and poorly understood. Here we present and synthesise all available observations made at APEI-6, the most north eastern APEI in the network, and assess its representativity of mining contract areas in the eastern CCZ. The two studied regions of APEI-6 have a variable morphology, typical of the CCZ, with hills, plains and occasional seamounts. The seafloor is predominantly covered by fine-grained sediments, and includes small but abundant polymetallic nodules, as well as exposed bedrock. The oceanographic parameters investigated appear broadly similar across the region although some differences in deep-water mass separation were evident between APEI-6 and some contract areas. Sediment biogeochemistry is broadly similar across the area in the parameters investigated, except for oxygen penetration depth, which reached 〉2 m at the study sites within APEI-6, deeper than that found at UK1 and GSR contract areas. The ecology of study sites in APEI-6 differs from that reported from UK1 and TOML-D contract areas, with differences in community composition of microbes, macrofauna, xenophyophores and metazoan megafauna. Some species were shared between areas although connectivity appears limited. We show that, from the available information, APEI-6 is partially representative of the exploration areas to the south yet is distinctly different in several key characteristics. As a result, additional APEIs may be warranted and caution may need to be taken in relying on the APEI network alone for conservation, with other management activities required to help mitigate the impacts of mining in the CCZ.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
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  • 2
    Publication Date: 2024-02-07
    Description: A comprehensive understanding of the deep-sea environment and mining’s likely impacts is necessary to assess whether and under what conditions deep-seabed mining operations comply with the International Seabed Authority’s obligations to prevent ‘serious harm’ and ensure the ‘effective protection of the marine environment from harmful effects’ in accordance with the United Nations Convention on the Law of the Sea. A synthesis of the peer-reviewed literature and consultations with deep-seabed mining stakeholders revealed that, despite an increase in deep-sea research, there are few categories of publicly available scientific knowledge comprehensive enough to enable evidence-based decision-making regarding environmental management, including whether to proceed with mining in regions where exploration contracts have been granted by the International Seabed Authority. Further information on deep-sea environmental baselines and mining impacts is critical for this emerging industry. Closing the scientific gaps related to deep-seabed mining is a monumental task that is essential to fulfilling the overarching obligation to prevent serious harm and ensure effective protection, and will require clear direction, substantial resources, and robust coordination and collaboration. Based on the information gathered, we propose a potential high-level road map of activities that could stimulate a much-needed discussion on the steps that should be taken to close key scientific gaps before any exploitation is considered. These steps include the definition of environmental goals and objectives, the establishment of an international research agenda to generate new deep-sea environmental, biological, and ecological information, and the synthesis of data that already exist.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
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  • 3
    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
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  • 4
    Publication Date: 2024-02-09
    Description: Benthic foraminifera cannot be sampled adequately using a single device. Smaller taxa are best collected using multicorers, the larger with box corers, but towed devices (dredges, trawls and epibenthic sledges) also retain many larger species. Here, we describe macrofaunal (>300 µm) foraminiferal assemblages obtained using an epibenthic sledge (EBS) in the Clarion-Clipperton Zone (eastern equatorial Pacific), a region hosting seafloor deposits of polymetallic nodules. Twelve EBS samples were collected in four areas licenced for exploration by the International Seabed Authority (ISA) to German, IOM, Belgium and French contractors, and to APEI-3, one of the protected Areas of Special Scientific Interest designated by the ISA. We recognised 280 morphospecies among 1954 specimens, with between 74 (IOM) and 121 (Belgium) in particular areas. Most (92.7%) were single-chambered monothalamids, of which 75 species (26.8%) belonged to the Komokioidea (‘komoki’), 47 (16.8%) to branched and unbranched tubes, 33 (11.8%) to chain-like and 32 (11.4%) to various ‘komoki-like’ forms. Fragments of megafaunal xenophyophores represented 21 species (7.50%), including Spiculammina delicata , previously reported only from the Russian area. Rarefaction curves and sample coverage completeness curves suggest that only a fraction of the macrofaunal foraminiferal diversity had been sampled. The occurrence of 71.8% of species in 1-2 of the 12 samples and 84.9% in 1-3 of the samples was a likely result of substantial undersampling. Dissimilarity in species composition between areas was very high: 64.2% (German vs IOM area) to 86.9% (German area vs APEI-3). Similarity within a single area was quite low: 29.1% (German) to 45.1% (IOM). In multidimensional scaling (MDS) plots, the APEI-3 area was clearly distinct in terms of faunal composition from all other areas, the French area somewhat separated from the German, IOM and Belgium areas, with the German and IOM samples being the most similar. These patterns may reflect the geographical separation of the French and APEI-3 areas and their location in deeper, more oligotrophic waters. Our study demonstrates that EBS samples from the eastern CCZ are a rich source of novel foraminiferal taxa, particularly light, easily resuspended komoki, providing a valuable perspective on foraminiferal biodiversity.
    Type: Article , PeerReviewed
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  • 5
    Publication Date: 2024-01-29
    Keywords: Carbon, organic, total; CTD, Seabird; CTD-R; DEPTH, sediment/rock; Distance; Elevation of event; Event label; fjords; Foraminifera; Grain size, mean; Latitude of event; Longitude of event; Optional event label; Salinity; Saorise; Saorise_SG_2019; Saorise_SG-01; Saorise_SG-03; Saorise_SG-04; Saorise_SG-06; Saorise_SG-07; Saorise_SG-08; Saorise_SG-09; Saorise_SG-10; Saorise_SG-11; Saorise_SG-12; Saorise_SG-13; Saorise_SG-14; Saorise_SG-15; Saorise_SG-16; Saorise_SG-17; Saorise_SG-18; Saorise_SG-20A; Saorise_SG-20B; Saorise_SG-21; Saorise_SG-22; Saorise_SG-24; Saorise_SG-26A; Saorise_SG-26B; Saorise_SG-27; Saorise_SG-28; Saorise_SG-29; Saorise_SG-30; Saorise_SG-31; Saorise_SG-32; sediment; SG-01; SG-03; SG-04; SG-06; SG-07; SG-08; SG-09; SG-10; SG-11; SG-12; SG-13; SG-14; SG-15, Sandbugten; SG-16; SG-17; SG-18; SG-20A; SG-20B; SG-21; SG-22; SG-24; SG-26A; SG-26B; SG-27; SG-28; SG-29; SG-30; SG-31; SG-32; Sorting in phi; South Georgia; Sub-Antarctic; Sulfur, total; Temperature, water; van Veen Grab; VGRAB; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 241 data points
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  • 6
    Publication Date: 2024-01-29
    Keywords: Adercotryma glomeratum; Ammobaculites rostratus; Ammodiscus incertus; Astrononion echolsi; Berger-Parker index; Bolivinellina pseudopunctata; Brillouin's Diversity Inex; Buccella sp.; Bulimina aculeata; Calculated; Cassidulina sp.; Cassidulinoides aff. parkerianus; Chao 1 richness; Cibicides sp.; Cornuspira antarctica; Counting 〉63 µm fraction; Cribrostomoides jeffreysii; Cribrostomoides wiesneri; CTD, Seabird; CTD-R; Cylindrogullmia alba; DEPTH, sediment/rock; Dominance; Earlandammina bullata; Eggerella minuta; Elevation of event; Epistominella sp.; Equitability; Evenness of species; Event label; Fishers alpha index of diversity; fjords; Foraminifera; Foraminifera, benthic agglutinated, other; Foraminifera, benthic calcareous; Globocassidulina aff. rossensis; Glomospira sp.; Gordiospira fragilis; Hippocrepinella hirudinea; Hyalinonetrion gracillimum; Lagenammina cf. tubulata; Lagenammina sp.; Lagenidae, other; Latitude of event; Lenticulina sp.; Longitude of event; Lotostomoides calomorpha; Margalefs richness index; Miliammina earlandi; Miliolidae, other; Miliolinella cf. antarctica; Miliolinella lutea; Miliolinella sp.; Monothalamiida; Nonionella iridea; Nonionoides grateloupii; Number of species; Optional event label; Parafissurina felsinea; Parafissurina fusiformis; Pelosina sp.; Portatrochammina wiesneri; Procerolagena gracilis; Proteonina decorata; Psammosphaera fusca; Pseudobolivina antarctica; Pullenia subcarinata; Pyrgo patagonica; Reophax subfusiformis; Rosalina globularis; Rotaliidae, other; Saorise; Saorise_SG_2019; Saorise_SG-01; Saorise_SG-03; Saorise_SG-04; Saorise_SG-06; Saorise_SG-07; Saorise_SG-08; Saorise_SG-09; Saorise_SG-10; Saorise_SG-11; Saorise_SG-12; Saorise_SG-13; Saorise_SG-14; Saorise_SG-15; Saorise_SG-16; Saorise_SG-17; Saorise_SG-18; Saorise_SG-20A; Saorise_SG-20B; Saorise_SG-21; Saorise_SG-22; Saorise_SG-24; Saorise_SG-26A; Saorise_SG-26B; Saorise_SG-27; Saorise_SG-28; Saorise_SG-29; Saorise_SG-30; Saorise_SG-31; Saorise_SG-32; sediment; SG-01; SG-03; SG-04; SG-06; SG-07; SG-08; SG-09; SG-10; SG-11; SG-12; SG-13; SG-14; SG-15, Sandbugten; SG-16; SG-17; SG-18; SG-20A; SG-20B; SG-21; SG-22; SG-24; SG-26A; SG-26B; SG-27; SG-28; SG-29; SG-30; SG-31; SG-32; Shannon Diversity Index; Simpson index of diversity; South Georgia; Stainforthia fusiformis; Sub-Antarctic; Systellonotus triguttatus; Textularia earlandi; Trifarina earlandi; Triloculinella hornibrooki; Vanhoeffenella gaussi; van Veen Grab; Veleroninoides scitulus; VGRAB
    Type: Dataset
    Format: text/tab-separated-values, 2030 data points
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  • 7
    Publication Date: 2024-01-29
    Keywords: Adercotryma glomeratum; Ammobaculites rostratus; Ammodiscus incertus; Astrononion echolsi; Bolivinellina pseudopunctata; Bulimina aculeata; Cassidulina sp.; Cassidulinoides aff. parkerianus; Cibicides sp.; Cornuspira antarctica; Counting 63-125 µm fraction; Cribrostomoides jeffreysii; Cribrostomoides wiesneri; CTD, Seabird; CTD-R; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Earlandammina bullata; Eggerella minuta; Elevation of event; Epistominella sp.; Event label; fjords; Foraminifera; Foraminifera, benthic agglutinated, other; Globocassidulina aff. rossensis; Glomospira sp.; Gordiospira fragilis; Hippocrepinella hirudinea; Hyalinonetrion gracillimum; Lagenammina cf. tubulata; Lagenidae, other; Latitude of event; Lenticulina sp.; Longitude of event; Lotostomoides calomorpha; Miliammina earlandi; Miliolidae, other; Miliolinella cf. antarctica; Miliolinella lutea; Miliolinella sp.; Monothalamiida; Neogloboquadrina pachyderma; Nonionella iridea; Nonionoides grateloupii; Optional event label; Parafissurina felsinea; Parafissurina fusiformis; Portatrochammina wiesneri; Procerolagena gracilis; Proteonina decorata; Pseudobolivina antarctica; Pullenia subcarinata; Reophax subfusiformis; Rosalina globularis; Rotaliidae, other; Saorise; Saorise_SG_2019; Saorise_SG-01; Saorise_SG-03; Saorise_SG-04; Saorise_SG-06; Saorise_SG-07; Saorise_SG-08; Saorise_SG-09; Saorise_SG-10; Saorise_SG-11; Saorise_SG-12; Saorise_SG-13; Saorise_SG-14; Saorise_SG-15; Saorise_SG-16; Saorise_SG-17; Saorise_SG-18; Saorise_SG-20A; Saorise_SG-20B; Saorise_SG-21; Saorise_SG-22; Saorise_SG-24; Saorise_SG-26A; Saorise_SG-26B; Saorise_SG-27; Saorise_SG-28; Saorise_SG-29; Saorise_SG-30; Saorise_SG-31; Saorise_SG-32; sediment; SG-01; SG-03; SG-04; SG-06; SG-07; SG-08; SG-09; SG-10; SG-11; SG-12; SG-13; SG-14; SG-15, Sandbugten; SG-16; SG-17; SG-18; SG-20A; SG-20B; SG-21; SG-22; SG-24; SG-26A; SG-26B; SG-27; SG-28; SG-29; SG-30; SG-31; SG-32; South Georgia; Split; Stainforthia fusiformis; Sub-Antarctic; Textularia earlandi; Trifarina earlandi; Triloculinella hornibrooki; van Veen Grab; VGRAB
    Type: Dataset
    Format: text/tab-separated-values, 2115 data points
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  • 8
    Publication Date: 2024-01-29
    Keywords: Adercotryma glomeratum; Ammobaculites rostratus; Ammodiscus incertus; Astrononion echolsi; Berger-Parker index; Bolivinellina pseudopunctata; Brillouin's Diversity Inex; Buccella sp.; Bulimina aculeata; Calculated; Cassidulina sp.; Cassidulinoides aff. parkerianus; Chao 1 richness; Cibicides sp.; Cornuspira antarctica; Counting 〉125 µm fraction; Cribrostomoides jeffreysii; Cribrostomoides wiesneri; CTD, Seabird; CTD-R; Cylindrogullmia alba; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dominance; Earlandammina bullata; Elevation of event; Epistominella sp.; Equitability; Evenness of species; Event label; Fishers alpha index of diversity; fjords; Foraminifera; Foraminifera, benthic agglutinated, other; Foraminifera, benthic calcareous; Globocassidulina aff. rossensis; Glomospira sp.; Gordiospira fragilis; Hippocrepinella hirudinea; Hyalinonetrion gracillimum; Lagenammina cf. tubulata; Lagenammina sp.; Lagenidae, other; Latitude of event; Lenticulina sp.; Longitude of event; Lotostomoides calomorpha; Margalefs richness index; Miliammina earlandi; Miliolidae, other; Miliolinella cf. antarctica; Miliolinella lutea; Miliolinella sp.; Monothalamiida; Neogloboquadrina pachyderma; Nonionella iridea; Nonionoides grateloupii; Number of species; Optional event label; Parafissurina felsinea; Parafissurina fusiformis; Pelosina sp.; Portatrochammina wiesneri; Procerolagena gracilis; Proteonina decorata; Psammosphaera fusca; Pseudobolivina antarctica; Pullenia subcarinata; Pyrgo patagonica; Reophax subfusiformis; Rosalina globularis; Rotaliidae, other; Saorise; Saorise_SG_2019; Saorise_SG-01; Saorise_SG-03; Saorise_SG-04; Saorise_SG-06; Saorise_SG-07; Saorise_SG-08; Saorise_SG-09; Saorise_SG-10; Saorise_SG-11; Saorise_SG-12; Saorise_SG-13; Saorise_SG-14; Saorise_SG-15; Saorise_SG-16; Saorise_SG-17; Saorise_SG-18; Saorise_SG-20A; Saorise_SG-20B; Saorise_SG-21; Saorise_SG-22; Saorise_SG-24; Saorise_SG-26A; Saorise_SG-26B; Saorise_SG-27; Saorise_SG-28; Saorise_SG-29; Saorise_SG-30; Saorise_SG-31; Saorise_SG-32; sediment; SG-01; SG-03; SG-04; SG-06; SG-07; SG-08; SG-09; SG-10; SG-11; SG-12; SG-13; SG-14; SG-15, Sandbugten; SG-16; SG-17; SG-18; SG-20A; SG-20B; SG-21; SG-22; SG-24; SG-26A; SG-26B; SG-27; SG-28; SG-29; SG-30; SG-31; SG-32; Shannon Diversity Index; Simpson index of diversity; South Georgia; Split; Stainforthia fusiformis; Sub-Antarctic; Systellonotus triguttatus; Textularia earlandi; Trifarina earlandi; Triloculinella hornibrooki; Vanhoeffenella gaussi; van Veen Grab; Veleroninoides scitulus; VGRAB
    Type: Dataset
    Format: text/tab-separated-values, 2791 data points
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  • 9
    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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  • 10
    Publication Date: 2024-04-20
    Keywords: CTD, Seabird; CTD-R; File content; fjords; Foraminifera; Saorise; Saorise_SG_2019; Saorise_SG-01; Saorise_SG-03; Saorise_SG-04; Saorise_SG-06; Saorise_SG-07; Saorise_SG-08; Saorise_SG-09; Saorise_SG-10; Saorise_SG-11; Saorise_SG-12; Saorise_SG-13; Saorise_SG-14; Saorise_SG-15; Saorise_SG-16; Saorise_SG-17; Saorise_SG-18; Saorise_SG-20A; Saorise_SG-20B; Saorise_SG-21; Saorise_SG-22; Saorise_SG-24; Saorise_SG-26A; Saorise_SG-26B; Saorise_SG-27; Saorise_SG-28; Saorise_SG-29; Saorise_SG-30; Saorise_SG-31; Saorise_SG-32; sediment; SG-01; SG-03; SG-04; SG-06; SG-07; SG-08; SG-09; SG-10; SG-11; SG-12; SG-13; SG-14; SG-15, Sandbugten; SG-16; SG-17; SG-18; SG-20A; SG-20B; SG-21; SG-22; SG-24; SG-26A; SG-26B; SG-27; SG-28; SG-29; SG-30; SG-31; SG-32; South Georgia; Sub-Antarctic; Text file; van Veen Grab; VGRAB
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
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