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  • PANGAEA  (3)
  • British Ecological Society  (1)
Document type
Keywords
Publisher
Years
  • 1
    facet.materialart.
    Unknown
    Jelly biomass sinking speed reveals a fast carbon export mechanism (2014)
    PANGAEA
    In:  Supplement to: Lebrato, Mario; Molinero, Juan-Carlos; Cartes, Joan E; Lloris, Domingo; Melin, Frederic; Beni-Casadella, Laia (2013): Sinking Jelly-Carbon Unveils Potential Environmental Variability along a Continental Margin. PLoS ONE, 8(12), e82070, https://doi.org/10.1371/journal.pone.0082070
    Details
    Publication Date: 2023-10-28
    Description: Particulate matter export fuels benthic ecosystems in continental margins and the deep sea, removing carbon from the upper ocean. Gelatinous zooplankton biomass provides a fast carbon vector that has been poorly studied. Observational data of a large-scale benthic trawling survey from 1994 to 2005 provided a unique opportunity to quantify jelly-carbon along an entire continental margin in the Mediterranean Sea and to assess potential links with biological and physical variables. Biomass depositions were sampled in shelves, slopes and canyons with peaks above 1000 carcasses per trawl, translating to standing stock values between 0.3 and 1.4 mg C m2 after trawling and integrating between 30,000 and 175,000 m2 of seabed. The benthopelagic jelly-carbon spatial distribution from the shelf to the canyons may be explained by atmospheric forcing related with NAO events and dense shelf water cascading, which are both known from the open Mediterranean. Over the decadal scale, we show that the jelly-carbon depositions temporal variability paralleled hydroclimate modifications, and that the enhanced jelly-carbon deposits are connected to a temperature-driven system where chlorophyll plays a minor role. Our results highlight the importance of gelatinous groups as indicators of large-scale ecosystem change, where jelly-carbon depositions play an important role in carbon and energy transport to benthic systems.
    Keywords: Abundance; Abundance per area; Area; Area/locality; Biomass; Biomass as carbon per area; Biomass as nitrogen per area; Bottom trawl; BT; Carbon, organic, particulate; Climate - Biogeochemistry Interactions in the Tropical Ocean; Cornide_1994_81; Cornide_1994_82; Cornide_1995_2; Cornide_1995_30; Cornide_1995_36; Cornide_1995_38; Cornide_1995_39; Cornide_1995_48; Cornide_1995_50; Cornide_1995_51; Cornide_1995_53; Cornide_1995_54; Cornide_1995_55; Cornide_1995_70; Cornide_1995_71; Cornide_1996_105; Cornide_1996_106; Cornide_1996_12; Cornide_1996_18; Cornide_1996_20; Cornide_1996_24; Cornide_1996_31; Cornide_1996_32; Cornide_1996_33; Cornide_1996_34; Cornide_1996_35; Cornide_1996_36; Cornide_1996_37; Cornide_1996_38; Cornide_1996_39; Cornide_1996_41; Cornide_1996_42; Cornide_1996_43; Cornide_1996_50; Cornide_1996_52; Cornide_1996_53; Cornide_1996_54; Cornide_1996_55; Cornide_1996_56; Cornide_1996_57; Cornide_1996_58; Cornide_1996_59; Cornide_1996_60; Cornide_1996_62; Cornide_1996_63; Cornide_1996_64; Cornide_1996_67; Cornide_1996_73; Cornide_1996_74; Cornide_1996_75; Cornide_1996_76; Cornide_1996_78; Cornide_1996_79; Cornide_1996_80; Cornide_1996_83; Cornide_1997_102; Cornide_1997_53; Cornide_1997_54; Cornide_1997_56; Cornide_1997_68; Cornide_1997_73; Cornide_1997_74; Cornide_1997_75; Cornide_1997_78; Cornide_1997_81; Cornide_1998_11; Cornide_1998_12; Cornide_1998_14; Cornide_1998_19; Cornide_1998_48; Cornide_1998_6; Cornide_1999_32; Cornide_1999_47; Cornide_1999_56; Cornide_1999_81; Cornide_2000_10; Cornide_2000_19; Cornide_2000_36; Cornide_2000_6; Cornide_2000_84; Cornide_2000_91; Cornide_2001_106; Cornide_2001_107; Cornide_2001_108; Cornide_2001_11; Cornide_2001_18; Cornide_2001_30; Cornide_2001_32; Cornide_2001_41; Cornide_2001_42; Cornide_2001_43; Cornide_2001_44; Cornide_2001_5; Cornide_2001_51; Cornide_2001_55; Cornide_2001_63; Cornide_2001_64; Cornide_2001_69; Cornide_2001_71; Cornide_2001_85; Cornide_2001_86; Cornide_2002_10; Cornide_2002_100; Cornide_2002_103; Cornide_2002_104; Cornide_2002_105; Cornide_2002_106; Cornide_2002_108; Cornide_2002_110; Cornide_2002_111; Cornide_2002_114; Cornide_2002_115; Cornide_2002_116; Cornide_2002_117; Cornide_2002_118; Cornide_2002_119; Cornide_2002_120; Cornide_2002_21; Cornide_2002_22; Cornide_2002_23; Cornide_2002_24; Cornide_2002_34; Cornide_2002_50; Cornide_2002_58; Cornide_2002_62; Cornide_2002_63; Cornide_2002_72; Cornide_2002_73; Cornide_2002_75; Cornide_2002_78; Cornide_2002_98; Cornide_2003_10; Cornide_2003_100; Cornide_2003_101; Cornide_2003_104; Cornide_2003_105; Cornide_2003_106; Cornide_2003_107; Cornide_2003_108; Cornide_2003_109; Cornide_2003_11; Cornide_2003_111; Cornide_2003_114; Cornide_2003_115; Cornide_2003_12; Cornide_2003_13; Cornide_2003_15; Cornide_2003_18; Cornide_2003_23; Cornide_2003_24; Cornide_2003_26; Cornide_2003_27; Cornide_2003_28; Cornide_2003_4; Cornide_2003_44; Cornide_2003_45; Cornide_2003_46; Cornide_2003_47; Cornide_2003_48; Cornide_2003_49; Cornide_2003_50; Cornide_2003_51; Cornide_2003_52; Cornide_2003_53; Cornide_2003_54; Cornide_2003_55; Cornide_2003_56; Cornide_2003_57; Cornide_2003_58; Cornide_2003_6; Cornide_2003_68; Cornide_2003_69; Cornide_2003_70; Cornide_2003_71; Cornide_2003_72; Cornide_2003_73; Cornide_2003_74; Cornide_2003_75; Cornide_2003_76; Cornide_2003_77; Cornide_2003_78; Cornide_2003_79; Cornide_2003_8; Cornide_2003_80; Cornide_2003_81; Cornide_2003_82; Cornide_2003_83; Cornide_2003_84; Cornide_2003_86; Cornide_2003_87; Cornide_2003_89; Cornide_2003_90; Cornide_2003_91; Cornide_2003_92; Cornide_2003_93; Cornide_2003_94; Cornide_2003_95; Cornide_2003_96; Cornide_2003_97; Cornide_2004_100; Cornide_2004_107; Cornide_2004_108; Cornide_2004_122; Cornide_2004_15; Cornide_2004_23; Cornide_2004_27; Cornide_2004_28; Cornide_2004_29; Cornide_2004_30; Cornide_2004_32; Cornide_2004_33; Cornide_2004_34; Cornide_2004_37; Cornide_2004_38; Cornide_2004_39; Cornide_2004_40; Cornide_2004_43; Cornide_2004_44; Cornide_2004_47; Cornide_2004_48; Cornide_2004_49; Cornide_2004_51; Cornide_2004_52; Cornide_2004_53; Cornide_2004_54; Cornide_2004_55; Cornide_2004_56; Cornide_2004_57; Cornide_2004_58; Cornide_2004_60; Cornide_2004_61; Cornide_2004_67; Cornide_2004_68; Cornide_2004_70; Cornide_2004_75; Cornide_2004_76; Cornide_2004_84; Cornide_2004_85; Cornide_2004_86; Cornide_2004_89; Cornide_2004_90; Cornide_2005_36; Cornide_2005_54; Cornide_2005_67; Cornide_2005_68; Cornide_2005_74; Cornide_2005_89; Dry mass; Event label; Height; Length; Nitrogen, organic, particulate; Sector; SFB754; Speed; Volume; Wet mass
    Type: Dataset
    Format: text/tab-separated-values, 4446 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 2
    facet.materialart.
    Unknown
    Environmental and chemical measurements, and coral calcification rates in Bermuda from 2010 to 2012 (2017)
    PANGAEA
    In:  Supplement to: Courtney, Travis A; Lebrato, Mario; Bates, Nicolas R; Collins, Andrew; de Putron, Samantha J; Garley, Rebecca; Johnson, Rod; Molinero, Juan-Carlos; Noyes, Timothy J; Sabine, Christopher L; Andersson, Andreas J (2017): Environmental controls on modern scleractinian coral and reef-scale calcification. Science Advances, 3(11), e1701356, https://doi.org/10.1126/sciadv.1701356
    Details
    Publication Date: 2024-03-15
    Description: Modern reef-building corals sustain a wide range of ecosystem services because of their ability to build calcium carbonate reef systems. The influence of environmental variables on coral calcification rates has been extensively studied, but our understanding of their relative importance is limited by the absence of in situ observations and the ability to decouple the interactions between different properties. We show that temperature is the primary driver of coral colony (Porites astreoides and Diploria labyrinthiformis) and reef-scale calcification rates over a 2-year monitoring period from the Bermuda coral reef. On the basis of multimodel climate simulations (Coupled Model Intercomparison Project Phase 5) and assuming sufficient coral nutrition, our results suggest that P. astreoides and D. labyrinthiformis coral calcification rates in Bermuda could increase throughout the 21st century as a result of gradual warming predicted under a minimum CO2 emissions pathway [representative concentration pathway (RCP) 2.6] with positive 21st-century calcification rates potentially maintained under a reduced CO2 emissions pathway (RCP 4.5). These results highlight the potential benefits of rapid reductions in global anthropogenic CO2 emissions for 21st-century Bermuda coral reefs and the ecosystem services they provide.
    Keywords: Alkalinity, total; Animalia; Aragonite saturation state; Benthic animals; Benthos; Bicarbonate ion; Brightness; Calcification/Dissolution; Calcification rate; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chlorophyll a; Cnidaria; Coast and continental shelf; Crescent_Reef; Date; Diploria labyrinthiformis; Entire community; Event label; EXP; Experiment; Field observation; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Hog_Reef; LATITUDE; LONGITUDE; Month; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; Porites astreoides; Rocky-shore community; Salinity; Score on PC1; Single species; Temperate; Temperature, water; Type; Years
    Type: Dataset
    Format: text/tab-separated-values, 2280 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 3
    facet.materialart.
    Unknown
    GoJelly databank: A compilation of jellyfish observation data and metadata (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: A compilation of jellyfish observations from various genera (Aurelia, Cyanea, Periphylla, Rhizostoma etc.) collected from 1790 to 2018. The area considered is the Northern Atlantic Ocean and sampling areas include the Mediterranean Sea, Celtic, Baltic and North Sea. This dataset is a collection of observations mostly retrieved from publications and therefore the sampling methods are various. The methods used include but are not limited to plankton net, bongo nets, collections from surface waters, trawls, hauls and buckets. Each observations listed in the dataset include the specific reference from which the data is collected from. This project was funded by the European Union's Horizon 2020 research and innovation programme (Grant agreement no. 774499) as part of GoJelly (work package 2: 'Driving mechanisms and predictions of jellyfish blooms')
    Keywords: Atlantic Ocean; Aurelia aurita; Baltic Sea; cyanea; GoJelly; GoJelly - A gelatinous solution to plastic pollution; Jellyfish; Mediterranean; Norwegian Sea; periphylla; Rhizostoma
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 1.5 MBytes
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 4
    facet.materialart.
    Unknown
    Foraging under extreme events: Contrasting adaptations by benthic macrofauna to drastic biogeochemical disturbance (2023)
    British Ecological Society
    Details
    Publication Date: 2024-02-07
    Description: 1. Hydrothermal vent systems are important biodiversity hotspots that host a vast array of unique species and provide information on life's evolutionary adaptations to extreme environments. However, these habitats are threatened by both human exploitation and extreme natural events, both of which can rapidly disrupt the delicate balance of the food webs found in these systems. This is particularly true for shallow vent endemic animals due to their limited dietary niche and specialized adaptations to specific biogeochemical conditions. 2. In this study, we used the shallow hydrothermal vents of Kueishantao off the coast of Taiwan as a natural laboratory to examine the response of a benthic food web to a M5.8 earthquake and a C5 typhoon that led to a two-year “near shutdown” of the vents. These perturbations drastically altered the local biogeochemical cycle and the dietary availability of chemosynthetic versus photosynthetic food resources. 3. Our analysis of multiple stable isotopes, including those of sulphur, carbon, and nitrogen (δ34S, δ13C, and δ15N), from different benthic macrofauna reveals that endemic and non-endemic consumers exhibited different responses to sudden disruption in habitat and biogeochemical cycling. 4. The endemic vent crab, Xenograpsus testudinatus, continued to partially rely on chemosynthetic sulphur bacteria despite photosynthetic sources being the most dominant food source after the disruption. We posit that X. testudinatus has an obligate nutritional dependence on chemoautotrophic sources because the decrease in chemoautotrophic production was accompanied by a dramatic decrease in the abundance of X. testudinatus. The population decline rate was ~19 individuals per m2 per year before the perturbation, but the decline rate increased to 40 individuals per m2 per year after the perturbation. In contrast, the non-endemic gastropods exhibited much greater dietary plasticity that tracked the overall abundance of photo- and chemo-synthetic dietary sources. 5. The catastrophic events in shallow hydrothermal vent ecosystem presented a novel opportunity to examine dietary adaptations among endemic and non-endemic benthic macrofauna in response to altered biogeochemical cycling. Our findings highlight the vulnerability of benthic specialists to the growing environmental pressures exerted by human activities worldwide.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
    Location Call Number Limitation Availability
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    OceanRep: Article in a Scientific Journal - peer-reviewed
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