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  • PANGAEA  (10)
  • AGU (American Geophysical Union)  (2)
  • British Ecological Society  (1)
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  • 1
    Publication Date: 2020-06-29
    Description: Ocean acidification and decreasing seawater saturation state with respect to calcium carbonate (CaCO3) minerals have raised concerns about the consequences to marine organisms that build CaCO3 structures. A large proportion of benthic marine calcifiers incorporate Mg2+ into their skeletons (Mg-calcite), which, in general, reduces mineral stability. The relative vulnerability of some marine calcifiers to ocean acidification appears linked to the relative solubility of their shell or skeletal mineralogy, although some organisms have sophisticated mechanisms for constructing and maintaining their CaCO3 structures causing deviation from this dependence. Nevertheless, few studies consider seawater saturation state with respect to the actual Mg-calcite mineralogy (ΩMg-x) of a species when evaluating the effect of ocean acidification on that species. Here, a global dataset of skeletal mole % MgCO3 of benthic calcifiers and in situ environmental conditions spanning a depth range of 0 m (subtidal/neritic) to 5600 m (abyssal) was assembled to calculate in situ ΩMg-x. This analysis shows that 24% of the studied benthic calcifiers currently experience seawater mineral undersaturation (ΩMg-x 〈 1). As a result of ongoing anthropogenic ocean acidification over the next 200 to 3000 years, the predicted decrease in seawater mineral saturation will expose approximately 57% of all studied benthic calcifying species to seawater undersaturation. These observations reveal a surprisingly high proportion of benthic marine calcifiers exposed to seawater that is undersaturated with respect to their skeletal mineralogy, underscoring the importance of using species-specific seawater mineral saturation states when investigating the impact of CO2-induced ocean acidification on benthic marine calcification.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
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  • 2
    Publication Date: 2022-01-31
    Description: Gelatinous zooplankton (Cnidaria, Ctenophora, and Urochordata, namely, Thaliacea) are ubiquitous members of plankton communities linking primary production to higher trophic levels and the deep ocean by serving as food and transferring “jelly‐carbon” (jelly‐C) upon bloom collapse. Global biomass within the upper 200 m reaches 0.038 Pg C, which, with a 2–12 months life span, serves as the lower limit for annual jelly‐C production. Using over 90,000 data points from 1934 to 2011 from the Jellyfish Database Initiative as an indication of global biomass (JeDI: http://jedi.nceas.ucsb.edu, http://www.bco‐dmo.org/dataset/526852), upper ocean jelly‐C biomass and production estimates, organism vertical migration, jelly‐C sinking rates, and water column temperature profiles from GLODAPv2, we quantitatively estimate jelly‐C transfer efficiency based on Longhurst Provinces. From the upper 200 m production estimate of 0.038 Pg C year−1, 59–72% reaches 500 m, 46–54% reaches 1,000 m, 43–48% reaches 2,000 m, 32–40% reaches 3,000 m, and 25–33% reaches 4,500 m. This translates into ~0.03, 0.02, 0.01, and 0.01 Pg C year−1, transferred down to 500, 1,000, 2,000, and 4,500 m, respectively. Jelly‐C fluxes and transfer efficiencies can occasionally exceed phytodetrital‐based sediment trap estimates in localized open ocean and continental shelves areas under large gelatinous blooms or jelly‐C mass deposition events, but this remains ephemeral and transient in nature. This transfer of fast and permanently exported carbon reaching the ocean interior via jelly‐C constitutes an important component of the global biological soft‐tissue pump, and should be addressed in ocean biogeochemical models, in particular, at the local and regional scale.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
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  • 3
    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
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  • 4
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    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
    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
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  • 5
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    Unknown
    PANGAEA
    In:  Supplement to: Lebrato, Mario; Mendes, Pedro André; Steinberg, Deborah K; Birsa, Laura M; Benavides, Mar; Oschlies, Andreas (2013): Jelly biomass sinking speed reveals a fast carbon export mechanism. Limnology and Oceanography, 58(3), 1113-1122, https://doi.org/10.4319/lo.2013.58.3.1113
    Publication Date: 2024-02-17
    Description: Sinking of gelatinous zooplankton biomass is an important component of the biological pump removing carbon from the upper ocean. The export efficiency, e.g., how much biomass reaches the ocean interior sequestering carbon, is poorly known because of the absence of reliable sinking speed data. We measured sinking rates of gelatinous particulate organic matter (jelly-POM) from different species of scyphozoans, ctenophores, thaliaceans, and pteropods, both in the field and in the laboratory in vertical columns filled with seawater using high-quality video. Using these data, we determined taxon-specific jelly-POM export efficiencies using equations that integrate biomass decay rate, seawater temperature, and sinking speed. Two depth scenarios in several environments were considered, with jelly-POM sinking from 200 and 600 m in temperate, tropical, and polar regions. Jelly-POM sank on average between 850 and 1500 m/d (salps: 800-1200 m/d; ctenophores: 1200-1500 m/d; scyphozoans: 1000-1100 m d; pyrosomes: 1300 m/d). High latitudes represent a fast-sinking and low-remineralization corridor, regardless of species. In tropical and temperate regions, significant decomposition takes place above 1500 m unless jelly-POM sinks below the permanent thermocline. Sinking jelly-POM sequesters carbon to the deep ocean faster than anticipated, and should be incorporated into biogeochemical and modeling studies to provide more realistic quantification of export via the biological carbon pump worldwide.
    Keywords: BIOACID; Biological Impacts of Ocean Acidification
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 6
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    Unknown
    PANGAEA
    Publication Date: 2024-02-17
    Keywords: BIOACID; Biological Impacts of Ocean Acidification; Comment; Distance; Number; Sinking velocity; Time in seconds; Volume
    Type: Dataset
    Format: text/tab-separated-values, 97 data points
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  • 7
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    PANGAEA
    Publication Date: 2024-02-17
    Keywords: BIOACID; Biological Impacts of Ocean Acidification; Carbon/Nitrogen ratio; Carbon/Nitrogen ratio, standard deviation; Carbon biomass; Density, mass density; Nitrogen in biomass; Sinking velocity; Sinking velocity, standard deviation; Species; Standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 109 data points
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  • 8
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    Unknown
    PANGAEA
    Publication Date: 2024-02-17
    Keywords: A109; A111; A115; A119; Alo9_CPER; Antromare1_OTSB12; Antromare1_OTSB13; Antromare1_OTSB14; Antromare1_OTSB15; Barcelona; BIOACID; Biological Impacts of Ocean Acidification; Cast number; CTD/Rosette; CTD-RO; Depth, bottom/max; Event label; Location; Mallorca; Mediterranean Sea; Salinity; Species; Temperature, water; Type; Zone
    Type: Dataset
    Format: text/tab-separated-values, 202 data points
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  • 9
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    Unknown
    PANGAEA
    Publication Date: 2024-02-17
    Keywords: A109; A111; A115; A119; Alo9_CPER; Antromare1_OTSB12; Antromare1_OTSB13; Antromare1_OTSB14; Antromare1_OTSB15; Barcelona; BIOACID; Biological Impacts of Ocean Acidification; Chlorophyll a; CTD/Rosette; CTD-RO; DEPTH, water; Event label; Mallorca; Mediterranean Sea; Oxygen; Salinity; Species; Temperature, water; Turbidity
    Type: Dataset
    Format: text/tab-separated-values, 78 data points
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  • 10
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    Unknown
    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
    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
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