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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Aquatic sciences 62 (2000), S. 105-124 
    ISSN: 1420-9055
    Keywords: Key words: Numerical modeling, hydrodynamics, lake.
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract: A numerical model of the hydrodynamic and thermal structure of an artificial lake was designed and developed as a basis for an ecological water-quality model. It allows the quantification of the vertical mixing processes that govern not only the thermal structure but also the nutrient exchanges, and more generally the distribution of dissolved and particulate matter between the different parts of the lake. The vertical temperature profiles were calculated by solving the one-dimensional heat transfer equation that takes into account the internal heat sources and sinks, advection due to inflow and outflow and the molecular and eddy diffusions. A finite-difference discretization of first-order in time and second-order in space was chosen. The numerical time-step was three hours and layers were one-meter in thickness. These time- and space-scales are well-suited to perform a precise simulation of the different processes occurring over a seasonal period. Moreover, this simulation requires only a reasonable amount of computer time.¶This model was used to study an artificial lake, (i.e. a reservoir), located in the high Loire valley (Roanne, France). To precisely identify the physical processes followed with an accurate numerical modeling, on-site data were acquired intensively over three years. Temperatures were monitored hourly at 11 different levels in the three main reaches of the reservoir to study the lake hydrodynamics and thermal behaviour. Meterological measurements were made every 20 minutes. One-year data were used for calibration, whereas the model was validated using the data collected over the other two years.
    Type of Medium: Electronic Resource
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  • 2
    ISSN: 1573-5117
    Keywords: Seine river ; ecological modelling ; validation ; anthropic impacts
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract The Seine river crosses the most densely populated and industrialized area of France, Paris (16 million inhabitants), surrounded by fertile land with intensive agriculture. In the framework of a CNRS (Scientific Research National Center) research project, computer programs have been designed to tackle problems related to eutrophication, non-point pollution and the impact of sewage during dry or wet periods (urban runof and sewage network overflow). The PROSE software has been specially designed to simulate the behaviour of the most disturbed stretches of the Seine ecosystem on the last 300 kilometers of the river, upstream of the estuarine area. The 1-D hydraulic sub-model of PROSE is based on a finite difference solution of Saint-Venant equations solved with the Preissman scheme. It simulates steady state situations as well as highly transient situations such as fast changes in river discharge during rainy periods or dam motions. The biological sub-model is based on the RIVE model, describing the major processes in a river ecosystem: primary production, heterotrophic bacterial activity and organic matter decomposition, major nutrients species (nitrogen, phosphorus), nitrifying activity and oxygen balance. Water column and sediment variables are simulated. Most of the parameters have been estimated during laboratory experiments or field studies. Different situations observed between 1989 and 1991 allowed a detailed validation of the model. The model was then used to explore the reaction of the ecosystem (particularly its oxygen status) to changes in physical constrains (discharge, reoxygenation at dams) or in biological processes (release of microorganisms accompanying waste water discharge).
    Type of Medium: Electronic Resource
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  • 3
    Publication Date: 2023-05-12
    Keywords: Age; Beaufort Sea; CCGSA_4-10_CFL08; CCGS Amundsen; CFL07_1; CFL07_2; CFL08_10; CFL08_11; CFL08_12; CFL08_3; CFL08_4; CFL08_5; CFL08_6; CFL08_7; CFL08_8; CFL08_9; Circumpolar Flaw Lead Leg 4-10a; DATE/TIME; ELEVATION; Event label; Ice type; Latitude of event; Longitude of event; MULT; Multiple investigations; Sea ice thickness; Snow thickness; Station label
    Type: Dataset
    Format: text/tab-separated-values, 75 data points
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  • 4
    Publication Date: 2023-05-12
    Keywords: all-cis-4,7,10,13,16,19-Docosahexaenoic acid of total fatty acids; all-cis-5,8,11,14,17-Eicosapentaenoic acid of total fatty acids; all-cis-6,9,12,15-Octadecatetraenoic acid of total fatty acids; Amundsen Gulf, Canada; Area/locality; Beaufort Sea; CCGSA_4-10_CFL08; CCGS Amundsen; CFL08_D36-1; CFL08_D38-1; CFL08_D41-1; CFL08_D43; CFL08_F1-2; CFL08_F2-3; Circumpolar Flaw Lead Leg 4-10a; cis-9-Hexadecenoic acid of total fatty acids (IUPAC: (9Z)-hexadec-9-enoic acid); DATE/TIME; Elevation of event; Event label; Fatty acids, standard deviation; High Performance Liquid Chromatography (HPLC); Latitude of event; Longitude of event; Monounsaturated fatty acids of total fatty acids; MULT; Multiple investigations; Polyunsaturated fatty acids of total fatty acids; Replicates; Sample type; Saturated fatty acids of total fatty acids; Station label
    Type: Dataset
    Format: text/tab-separated-values, 108 data points
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  • 5
    Publication Date: 2023-05-12
    Keywords: Amundsen Gulf, Canada; Area/locality; Beaufort Sea; Calanus glacialis, clutch size; CCGSA_4-10_CFL08; CCGS Amundsen; CFL08_02; CFL08_405; CFL08_D29-2; CFL08_D33-2; CFL08_D36-1; CFL08_D41-1; CFL08_D43; Circumpolar Flaw Lead Leg 4-10a; DATE/TIME; Date/time end; Egg production rate per female; Elevation of event; Event label; Female; Latitude of event; Longitude of event; MULT; Multiple investigations; Proportion; Species; Standard deviation; Station label
    Type: Dataset
    Format: text/tab-separated-values, 94 data points
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  • 6
    Publication Date: 2023-07-09
    Keywords: Abundance estimate; Alexandrium tamarense; Amphidinium crassum; Amphidinium sphenoides; Aspidisca spp.; Attheya sp.; Bacillariophyceae indeterminata; Beaufort Sea; CCGSA_4-10_CFL08; CCGS Amundsen; CFL07/08_1-12; Chaetoceros borealis; Chaetoceros decipiens; Chroomonas sp.; Ciliates indeterminata; Circumpolar Flaw Lead Leg 4-10a; Coscinodiscophyceae indeterminata; Cryptophyceae; DATE/TIME; Date/time end; Dicroerisma psilonereiella; Dictyocha speculum; Dinobryon spp.; Dinoflagellate indeterminata; Dinophysis spp.; Diploneis litoralis var. arctica; Entomoneis gigantea var. septentrionalis; Entomoneis kjellmanii; Entomoneis kjellmanii var. subtilis; Entomoneis paludosa; Eucampia groenlandica; Euglena sp.; Euplotes sp.; Flagellates indeterminata; Fossula arctica; Fragilariopsis oceanica; Fragilariopsis spp.; Gymnodinium elongatum; Gymnodinium galeatum; Gymnodinium ostenfeldii; Gymnodinium sp.; Gymnodinium spp.; Gyrodinium cf. estuariale; Gyrodinium sp.; Gyrodinium spp.; Gyrosigma sp.; Gyrosigma tenuissimum; Gyrosigma tenuissimum var. hyperborea; Haslea crucigeroides; Haslea kjellmanii; Haslea sp.; Haslea spicula; Haslea spp.; Haslea vitrea; Kurpiszia kryokonites; Lacrymaria sp.; Lohmanniella oviformis; Melosira arctica; Mesodinium rubrum; Micromonas spp.; MULT; Multiple investigations; Navicula directa; Navicula gelida var. radissonii; Navicula septentrionalis; Navicula sp.; Navicula spp.; Navicula superba; Nitzschia arctica; Nitzschia frigida; Nitzschia longissima; Nitzschia neofrigida; Nitzschia promare; Nitzschia sp.; Number of species; Number of taxa; Pauliella taeniata; Peridiniella danica; Peridiniella spp.; Phaeocystis pouchetii; Pinnularia quadratarea; Pinnularia quadratarea var. constricta; Pinnularia quadratarea var. minor; Plagiotropis sp.; Pleurosigma sp.; Pleurosigma stuxbergii var. rhomboides; Preperidinium spp.; Pronoctiluca pelagica; Prorocentrum lima; Prorocentrum spp.; Prorodon spp.; Protoperidinium cf. minutum; Protoperidinium spp.; Pseudogomphonema arcticum; Pyramimonas spp.; Rhaphidophyceae; Rhodomonas marina; Rhodomonas sp.; Sample type; Stenoneis inconspicua var. baculus; Stenoneis obuserostrata; Strobilidium spiralis; Strombidium delicatissimum; Strombidium rhynchum; Strombidium sp.; Strombidium spp.; Strombidium sulcatum; Synedropsis hyperborea; Thalassionema nitzschioides; Thalassiosira angulata; Thalassiosira antarctica var. borealis; Thalassiosira pacifica; Thalassiosira sp.; Tintinnina; Vorticella sp.
    Type: Dataset
    Format: text/tab-separated-values, 660 data points
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  • 7
    Publication Date: 2023-07-10
    Keywords: Amundsen Gulf, Canada; Area/locality; Beaufort Sea; CCGSA_4-10_CFL08; CCGS Amundsen; CFL08_D29-2; CFL08_D33-2; CFL08_D36-1; CFL08_D41-1; CFL08_F1-2; Circumpolar Flaw Lead Leg 4-10a; Cylindrotheca closterium; DATE/TIME; Elevation of event; Event label; Fragilariopsis cylindrus; Latitude of event; Longitude of event; MULT; Multiple investigations; Navicula directa; Navicula pelagica; Navicula septentrionalis; Nitzschia frigida; Nitzschia promare; Pauliella taeniata; Station label
    Type: Dataset
    Format: text/tab-separated-values, 60 data points
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  • 8
    Publication Date: 2023-09-12
    Keywords: all-cis-4,7,10,13,16,19-Docosahexaenoic acid of total fatty acids; all-cis-5,8,11,14,17-Eicosapentaenoic acid of total fatty acids; all-cis-7,10,13,16,19-Docosapentaenoic acid of total fatty acids; all-cis-8,11,14,17-Eicosatetraenoic acid of total fatty acids; Amundsen Gulf, Canada; Area/locality; Beaufort Sea; CCGSA_4-10_CFL08; CCGS Amundsen; CFL08_D26; CFL08_D33-2; CFL08_D34-2; CFL08_D36-1; CFL08_D41-1; CFL08_F6; Circumpolar Flaw Lead Leg 4-10a; cis-11-Docosenoic acid of total fatty acids; cis-11-Icosenoic acid of total fatty acids; cis-11-Octadecenoic acid of total fatty acids (IUPAC: Octadec-11-enoic acid); cis-13-Docosenoic acid of total fatty acids; cis-13-Icosenoic acid of total fatty acids; cis-15-Docosenoic acid of total fatty acids; cis-9-Hexadecenoic acid of total fatty acids (IUPAC: (9Z)-hexadec-9-enoic acid); cis-9-Octadecenoic acid of total fatty acids (IUPAC: Octadec-9-enoic acid); DATE/TIME; Date/time end; Depth, bottom/max; Depth, top/min; Depth comment; Elevation of event; Event label; Fatty acids; Fatty acids, standard deviation; Hexadecanoic acid of total fatty acids; High Performance Liquid Chromatography (HPLC); Latitude of event; Longitude of event; Monounsaturated fatty acids of total fatty acids; MULT; Multiple investigations; Number of individuals; Octadecanoic acid of total fatty acids; Ontogenetic stage; Polyunsaturated fatty acids of total fatty acids; Sample amount; Sample type; Saturated fatty acids of total fatty acids; Species; Station label; Tetradecanoic acid of total fatty acids; Visual observation
    Type: Dataset
    Format: text/tab-separated-values, 598 data points
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  • 9
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    Unknown
    PANGAEA
    In:  Supplement to: Niemi, Andrea; Michel, Christine; Hille, Kelly; Poulin, Michel (2011): Protist assemblages in winter sea ice: setting the stage for the spring ice algal bloom. Polar Biology, 34(12), 1803-1817, https://doi.org/10.1007/s00300-011-1059-1
    Publication Date: 2023-12-13
    Description: This study documents, for the first time, the abundance and species composition of protist assemblages in Arctic sea ice during the dark winter period. Lack of knowledge of sea-ice assemblages during the dark period has left questions about the retention and survival of protist species that initiate the ice algal bloom. Sea-ice and surface water samples were collected between December 27, 2007 and January 31, 2008 within the Cape Bathurst flaw lead, Canadian Beaufort Sea. Samples were analyzed for protist identification and counts, chlorophyll (chl) a, and total particulate carbon and nitrogen concentrations. Sea-ice chl a concentrations (max. 0.27 µg/l) and total protist abundances (max. 4 x 10**3 cells/l) were very low, indicating minimal retention of protists in the ice during winter. The diversity of winter ice protists (134 taxa) was comparable to spring ice assemblages. Pennate diatoms dominated the winter protist assemblage numerically (averaging 77% of total protist abundances), with Nitzschia frigida being the most abundant species. Only 56 taxa were identified in surface waters, where dinoflagellates were the dominant group. Our results indicate that differences in the timing of ice formation may have a greater impact on the abundance than structure of protist assemblages present in winter sea ice and at the onset of the spring ice algal bloom.
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 10
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    Unknown
    PANGAEA
    In:  Supplement to: Wold, Anette; Darnis, Gerald; Søreide, Janne E; Leu, Eva; Philippe, Benoit; Fortier, Louis; Poulin, Michel; Kattner, Gerhard; Graeve, Martin; Falk-Petersen, Stig (2011): Life strategy and diet of Calanus glacialis during the winter–spring transition in Amundsen Gulf, south-eastern Beaufort Sea. Polar Biology, 34(12), 1929-1946, https://doi.org/10.1007/s00300-011-1062-6
    Publication Date: 2023-12-13
    Description: The copepod Calanus glacialis plays a key role in the lipid-based energy flux in Arctic shelf seas. By utilizing both ice algae and phytoplankton, this species is able to extend its growth season considerably in these seasonally ice-covered seas. This study investigated the impacts of the variability in timing and extent of the ice algal bloom on the reproduction and population success of C. glacialis. The vertical distribution, reproduction, amount of storage lipids, stable isotopes, fatty acid and fatty alcohol composition of C. glacialis were assessed during the Circumpolar Flaw Lead System Study. Data were collected in the Amundsen Gulf, south-eastern Beaufort Sea, from January to July 2008 with the core-sampling from March to April. The reduction in sea ice thickness and coverage observed in the Amundsen Gulf in 2007 and 2008 affected the life strategy and reproduction of C. glacialis. Developmental stages CIII and CIV dominated the overwintering population, which resulted in the presence of very few CV and females during spring 2008. Spawning began at the peak of the ice algal bloom that preceded the precocious May ice break-up. Although the main recruitment may have occurred later in the season, low abundance of females combined with a potential mismatch between egg production/development to the first feeding stage and phytoplankton bloom resulted in low recruitment of C. glacialis in the early summer of 2008.
    Keywords: AWI; International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 5 datasets
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