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  • PANGAEA  (5)
  • Elsevier  (1)
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  • 1
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    Time series of phyto- and microzooplankton abundance and composition at station L4 in the English Channel from 1988 to 2009 (2010)
    PANGAEA
    In:  Supplement to: Widdicombe, Claire E; Eloire, Damien; Harbour, Derek; Harris, Roger P; Somerfield, Paul J (2010): Long-term phytoplankton community dynamics in the Western English Channel. Journal of Plankton Research, 32(5), 643-655, https://doi.org/10.1093/plankt/fbp127
    Details
    Publication Date: 2024-02-16
    Description: Over a 15-year period (1992-2007), weekly water samples were collected from the L4 time-series station in the Western English Channel and analysed for phytoplankton community structure and abundance. The data produced have been analysed to identify seasonal patterns, inter-annual variability and long-term trends in the composition of the seven main functional phytoplankton groups. Phyto-flagellates numerically dominated accounting for on average ca. 87% of the phytoplankton abundance while diatoms, Phaeocystis, coccolithophorids, dinoflagellates and ciliates contributed 13% of abundance. Distinct seasonal and inter-annual changes in the abundance and floristic composition of the functional groups were observed. Significant long-term changes in abundance showed that, over the study period, diatoms and Phaeocystis decreased while coccolithophorids, the dinoflagellate Prorocentrum minimum and some heterotrophic dinoflagellate and ciliates increased in abundance. These changes highlight the importance of long-term observations for the understanding of natural temporal variability in plankton communities. Such shifts in the community composition at L4 could have important consequences for ecosystem function.
    Keywords: Coastal station; English Channel; MON; Monitoring; WCO_L4; Western Channel Observatory
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 2
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    Time series of phytoplankton abundance and composition at station L4 in the English Channel from 1988 to 2009 (2010)
    PANGAEA
    Details
    Publication Date: 2024-02-16
    Keywords: Acanthoica quattrospina; Achnanthes longipes; Actinocyclus sp.; Actinoptychus senarius; Akashiwo sanguinea; Alexandrium tamarense; Amylax triacantha; Anoplosolenia brasiliensis; Asterionellopsis glacialis; Attheya septentrionalis; Bacillaria paradoxa; Bacteriastrum furcatum; Biddulphia alternans; Braarudosphaera bigelowii; Brockmanniella brockmannii; Calyptrosphaera sp.; Caneosphaera molischii; Cerataulina pelagica; Ceratium furca; Ceratium fusus; Ceratium horridum; Ceratium lineatum; Ceratium longipes; Ceratium macroceros; Ceratium massiliense; Ceratium tripos; Chaetoceros, resting spores; Chaetoceros affinis; Chaetoceros anastomosans; Chaetoceros brevis; Chaetoceros compressus; Chaetoceros costatus; Chaetoceros curvisetus; Chaetoceros danicus; Chaetoceros debilis; Chaetoceros decipiens; Chaetoceros densus; Chaetoceros didymus; Chaetoceros eibenii; Chaetoceros externus; Chaetoceros filiformis; Chaetoceros fragilis; Chaetoceros laciniosus; Chaetoceros lauderi; Chaetoceros peruvianus; Chaetoceros radicans; Chaetoceros similis; Chaetoceros simplex; Chaetoceros socialis; Chaetoceros sp.; Chaetoceros teres; Chaetoceros tortissimus; Chaetoceros wighamii; Chaetoceros willei; Coastal station; Coccolithophoridae; Coccolithophoridae, lith; Coccolithophoridae indeterminata; Coccolithus pelagicus; Corethron criophilum; Coronosphaera sp.; Corymbellus aureus; Coscinodiscus asteromphalus; Coscinodiscus centralis; Coscinodiscus concinnus; Coscinodiscus granii; Coscinodiscus radiatus; Coscinodiscus wailesii; Cryptomonadales; Crystallolithus hyalinus; Cyanobacteria filaments; Dactyliosolen blavyanus; Dactyliosolen fragilissimus; DATE/TIME; Delphineis sp.; DEPTH, water; Detonula pumila; Diatoms; Dictyocha fibula; Dictyocha speculum; Dinobryon; Dinoflagellates; Dinophysis acuminata; Dinophysis acuta; Dinophysis sacculus; Dinophysis sp. cf. D. punctata; Dinophysis tripos; Diploneis cabro; Ditylum brightwellii; Emiliania huxleyi; English Channel; Ephemera planamembranacea; Eucampia zodiacus; Euglenophyceae; Flagellates, fractionated; Fragilaria; Fragilariopsis; Gephyrocapsa sp.; Gonyaulax digitale; Gonyaulax sp.; Gonyaulax spinifera; Gonyaulax verior; Grammatophora; Guinardia delicatula; Guinardia flaccida; Guinardia striata; Guinardia striata, large; Gymnodinium cf. catenatum; Gymnodinium cf. pygmaeum; Gymnodinium sp.; Halosphaera sp.; Haslea wawrikae; Helicotheca tamesis; Heterocapsa niei; Heterocapsa sp.; Heterocapsa triquetra; Holococcolithophorid, fractionated; Karenia mikimotoi; Lauderia annulata; Leptocylindrus danicus; Leptocylindrus mediterraneus; Leptocylindrus minimus; Licmophora; Lioloma delicatulum; Lithodesmium undulatum; Melosira sp.; Meringosphaera sp.; Mesoporos perforatus; Meuniera membranacea; Micranthodinium sp.; MON; Monitoring; Nanoneis haslea; Navicula distans; Navicula sp.; Nitzschia closterium; Nitzschia sigmoidea; Odontella mobiliensis; Odontella sinensis; Paralia sulcata; Pennates, fractionated; Pennates, small; Pennates, very small; Phaeocystis motile; Phaeocystis pouchetii; Phytoflagellate; Phytoplankton; Phytoplankton, other; Picoplankton; Pleurosigma; Pleurosigma planctonicum; Podosira stelligera; Proboscia alata; Proboscia alata, fractionated; Proboscia alata syn. forma gracillima; Proboscia truncata; Prorcentrum triestinum; Prorocentrum balticum; Prorocentrum compressum; Prorocentrum dentatum; Prorocentrum micans; Prorocentrum minimum; Protoceratium reticulatum; Psammodictyon panduriforme; Pseudo-nitzschia delicatissima; Pseudo-nitzschia pungens; Pseudo-nitzschia seriata; Pterosperma sp.; Pyramimonas sp.; Quantitative phytoplankton method (Utermöhl, 1958); Raphidophyceae; Rhabdosphaera claviger; Rhizosolenia chunii; Rhizosolenia hebetata forma semispina; Rhizosolenia imbricata, fractionated; Rhizosolenia robusta; Rhizosolenia setigera, fractionated; Rhizosolenia styliformis; Roperia tesselata; Scripsiella sp. cyst; Scripsiella trochoidea; Skeletonema costatum; Stephanopyxis palmeriana; Syracosphaera pulchra; Thalassionema nitzschioides; Thalassiosira, fractionated; Thalassiosira anguste-lineata; Thalassiosira cf. gravida; Thalassiosira cf. gravida, fractionated; Thalassiosira eccentrica; Thalassiosira punctigera; Thalassiosira rotula; Thalassiosira sp. cf. T. angulata; Thalassiosira subtilis; Thalassiothrix sp.; Tropidoneis; Umbellosphaera sp.; WCO_L4; Western Channel Observatory
    Type: Dataset
    Format: text/tab-separated-values, 141167 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 3
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    Time series of microzooplankton abundance and composition at station L4 in the English Channel from 1988 to 2009 (2010)
    PANGAEA
    Details
    Publication Date: 2024-02-16
    Keywords: Amoeba; Amphidinium crassum; Amphidoma caudata; Askenasia stellaris; Balanion sp.; Bodonids; Choanoflagellates; Ciliates; Ciliates indeterminata; Coastal station; Cochlodinium sp.; Counting; DATE/TIME; DEPTH, water; Dinoflagellates, colorless; Dinophysis rotundatum; Diplopsalis sp.; English Channel; Epiplocyloides undella; Eutintinnus sp.; Favella helgolandica; Favella sp.; Flagellates, colorless; Gymnodinium sp., colorless; Gymnodinium sp., colorless, small; Gyrodinium sp., colorless, large; Gyrodinium sp., colorless, medium; Gyrodinium sp., colorless, small; Gyrodinium spirale; Jacoba; Katodinium; Katodinium glaucum; Kofoidinium lebourae; Laboea strobila; Leegaardiella sp.; Lohmaniella sp.; Microzooplankton; Microzooplankton, other; MON; Monitoring; Myrionecta rubra; Myrionecta sp., small; Nematodinium sp.; Noctiluca scintillans; Oxytoxum sp.; Parafavella sp.; Peridinian indeterminata, large; Peridinian indeterminata, small; Peritromus sp.; Phalachroma nastum; Polykrikos schwarzii; Preperidinium; Pronoctiluca cf. pelagica; Proplectella sp.; Prorodontid; Protoperidinium bipes; Protoperidinium brevipes; Protoperidinium curtipes; Protoperidinium depressum; Protoperidinium divergens; Protoperidinium obtusum; Protoperidinium oceanicum; Protoperidinium ovatum; Protoperidinium pyriforme; Protoperidinium sp.; Protoperidinium steinii; Pyrophacus horologicum; Rhabdoaskenasia sp.; Salpingella sp.; Sarcodina; Strobilidium sp.; Strombidinopsis sp.; Strombidium cf., ovale; Strombidium sp., large; Strombidium sp., medium; Strombidium sp., small; Tiarina fusus; Tintinnid sp., small; Tintinnopsis sp.; Tontonia spp.; Torodinium robustum; Torodinium teredo; Uronema spp.; Vorticella sp.; Warnowia sp.; WCO_L4; Western Channel Observatory; Zooflagellate; Zoospore
    Type: Dataset
    Format: text/tab-separated-values, 55360 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 4
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    Seawater carbonate chemistry and reproduction of the two calanoid copepods Centropages typicus and Temora longicornis in a laboratory experiment (2013)
    PANGAEA
    In:  Supplement to: McConville, Kristian; Halsband, Claudia; Fileman, Elaine S; Somerfield, Paul J; Findlay, Helen S; Spicer, John I (2013): Effects of elevated CO2 on the reproduction of two calanoid copepods. Marine Pollution Bulletin, 73(2), 428-434, https://doi.org/10.1016/j.marpolbul.2013.02.010
    Details
    Publication Date: 2024-03-15
    Description: Some planktonic groups suffer negative effects from ocean acidification (OA), although copepods might be less sensitive. We investigated the effect of predicted CO2 levels (range 480-750 ppm), on egg production and hatching success of two copepod species, Centropages typicus and Temora longicornis. In these short-term incubations there was no significant effect of high CO2 on these parameters. Additionally a very high CO2 treatment, (CO2 = 9830 ppm), representative of carbon capture and storage scenarios, resulted in a reduction of egg production rate and hatching success of C. typicus, but not T. longicornis. In conclusion, reproduction of C. typicus was more sensitive to acute elevated seawater CO2 than that of T. longicornis, but neither species was affected by exposure to CO2 levels predicted for the year 2100. The duration and seasonal timing of exposures to high pCO2, however, might have a significant effect on the reproduction success of calanoid copepods.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Arthropoda; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Centropages typicus; Coast and continental shelf; Egg production rate per female; English_channel; EXP; Experiment; Feeding rate, relative; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Hatching rate; Incubation duration; Laboratory experiment; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Potentiometric; Potentiometric titration; Replicates; Reproduction; Salinity; Salinity, standard deviation; Single species; Species; Temora longicornis; Temperate; Temperature, standard deviation; Temperature, water; Treatment; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 9998 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 5
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    The influence of ocean acidification on nitrogen regeneration and nitrous oxide production in the northwest European shelf sea (2014)
    PANGAEA
    Details
    Publication Date: 2024-03-15
    Description: The assimilation and regeneration of dissolved inorganic nitrogen, and the concentration of N2O, was investigated at stations located in the NW European shelf sea during June/July 2011. These observational measurements within the photic zone demonstrated the simultaneous regeneration and assimilation of NH4+, NO2- and NO3-. NH4+ was assimilated at 1.82-49.12 nmol N/L/h and regenerated at 3.46-14.60 nmol N/L/h; NO2- was assimilated at 0-2.08 nmol N/L/h and regenerated at 0.01-1.85 nmol N/L/h; NO3-was assimilated at 0.67-18.75 nmol N/L/h and regenerated at 0.05-28.97 nmol N/L/h. Observations implied that these processes were closely coupled at the regional scale and that nitrogen recycling played an important role in sustaining phytoplankton growth during the summer. The [N2O], measured in water column profiles, was 10.13 ± 1.11 nmol/L and did not strongly diverge from atmospheric equilibrium indicating that sampled marine regions were neither a strong source nor sink of N2O to the atmosphere. Multivariate analysis of data describing water column biogeochemistry and its links to N-cycling activity failed to explain the observed variance in rates of N-regeneration and N-assimilation, possibly due to the limited number of process rate observations. In the surface waters of five further stations, ocean acidification (OA) bioassay experiments were conducted to investigate the response of NH4+ oxidising and regenerating organisms to simulated OA conditions, including the implications for [N2O]. Multivariate analysis was undertaken which considered the complete bioassay data set of measured variables describing changes in N-regeneration rate, [N2O] and the biogeochemical composition of seawater. While anticipating biogeochemical differences between locations, we aimed to test the hypothesis that the underlying mechanism through which pelagic N-regeneration responded to simulated OA conditions was independent of location. Our objective was to develop a mechanistic understanding of how NH4+ regeneration, NH4+ oxidation and N2O production responded to OA. Results indicated that N-regeneration process responses to OA treatments were location specific; no mechanistic understanding of how N-regeneration processes respond to OA in the surface ocean of the NW European shelf sea could be developed.
    Keywords: Alkalinity, total; Ammonia, oxidation rate; Ammonia, oxidation rate, standard deviation; Ammonium; Ammonium, standard deviation; Ammonium regeneration rate; Ammonium regeneration rate, standard deviation; Aragonite saturation state; Bacteria; Bicarbonate ion; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; Coulometric titration; D366_E1; D366_E2; D366_E3; D366_E4; D366_E5; Dimethyl sulfide; Dimethylsulfoniopropionate; Entire community; Event label; EXP; Experiment; Flag; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Identification; Laboratory experiment; Nanoflagellates, heterotrophic; Nitrate; Nitrous oxide, dissolved; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Open ocean; Other metabolic rates; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phosphate; Potentiometric titration; Salinity; Silicate; Temperate; Temperature, water; Time in hours; Treatment; UKOA; United Kingdom Ocean Acidification research programme
    Type: Dataset
    Format: text/tab-separated-values, 12526 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 6
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    Projecting changes in the distribution and productivity of living marine resources: A critical review of the suite of modelling approaches used in the large European project VECTORS (2018)
    Elsevier
    In:  Estuarine, Coastal and Shelf Science, 201 . pp. 40-55.
    Details
    Publication Date: 2021-02-08
    Description: We review and compare four broad categories of spatially-explicit modelling approaches currently used to understand and project changes in the distribution and productivity of living marine resources including: 1) statistical species distribution models, 2) physiology-based, biophysical models of single life stages or the whole life cycle of species, 3) food web models, and 4) end-to-end models. Single pressures are rare and, in the future, models must be able to examine multiple factors affecting living marine resources such as interactions between: i) climate-driven changes in temperature regimes and acidification, ii) reductions in water quality due to eutrophication, iii) the introduction of alien invasive species, and/or iv) (over-)exploitation by fisheries. Statistical (correlative) approaches can be used to detect historical patterns which may not be relevant in the future. Advancing predictive capacity of changes in distribution and productivity of living marine resources requires explicit modelling of biological and physical mechanisms. New formulations are needed which (depending on the question) will need to strive for more realism in ecophysiology and behaviour of individuals, life history strategies of species, as well as trophodynamic interactions occurring at different spatial scales. Coupling existing models (e.g. physical, biological, economic) is one avenue that has proven successful. However, fundamental advancements are needed to address key issues such as the adaptive capacity of species/groups and ecosystems. The continued development of end-to-end models (e.g., physics to fish to human sectors) will be critical if we hope to assess how multiple pressures may interact to cause changes in living marine resources including the ecological and economic costs and trade-offs of different spatial management strategies. Given the strengths and weaknesses of the various types of models reviewed here, confidence in projections of changes in the distribution and productivity of living marine resources will be increased by assessing model structural uncertainty through biological ensemble modelling.
    Type: Article , PeerReviewed
    Format: text
    DOI: 10.1016/j.ecss.2016.05.019
    Location Call Number Limitation Availability
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    OceanRep: Article in a Scientific Journal - peer-reviewed
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