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  • 1
    Online Resource
    Online Resource
    Dordrecht :Springer Netherlands,
    Keywords: Endangered ecosystems. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (696 pages)
    Edition: 1st ed.
    ISBN: 9789402409901
    Series Statement: Developments in Paleoenvironmental Research Series ; v.20
    Language: English
    Note: Intro -- Preface -- Contents -- Chapter 1: Introduction to the Application of Paleoecological Techniques in Estuaries -- 1 Natural Variability -- 2 Human Impacts -- 2.1 Climate Change -- 2.2 Human Activity Within Estuaries and Their Catchments -- 3 Paleoecology -- 4 Summary and Purpose of This Book -- References -- Part I: Estuaries and Their Management -- Chapter 2: Estuary Form and Function: Implications for Palaeoecological Studies -- 1 Introduction -- 2 What Is an Estuary? -- 3 Types of Estuary -- 3.1 Tide-Dominated Estuaries -- 3.2 Wave-Dominated Estuaries -- 3.3 Intermittent Estuaries -- 4 Estuarine Stressors -- 4.1 Salinity -- 4.2 Turbidity -- 5 Nutrient and Organic Matter Cycling in Estuaries -- 5.1 Nutrients -- 5.1.1 Catchment Nutrient Inputs -- 5.1.2 Internal Processing -- 5.2 Organic Matter -- 5.2.1 Sources of Organic Matter -- 5.2.2 Catchment and Fringe Organic Matter Inputs -- 5.2.3 Autochthonous Organic Matter -- 5.3 Impacts of Nutrient Enrichment on Autochthonous Production -- 5.4 Organic Matter and Sulfur in the Sediment Record -- 6 Estuarine Biota and Resilience -- 6.1 Typical Habitats and Biota -- 6.1.1 Tide-Dominated Estuaries -- 6.1.2 Wave-Dominated Estuaries -- 6.1.3 Intermittent Estuaries -- 7 Implications for Palaeoecological Studies -- References -- Chapter 3: Geology and Sedimentary History of Modern Estuaries -- 1 Introduction and Definitions -- 2 An Australian Perspective -- 3 Geological Setting of Modern Estuaries -- 4 Geomorphic Classification -- 5 Deposition Within Estuaries: Facies Models -- 5.1 Wave-Dominated Estuaries -- 5.2 Tide-Dominated Estuaries -- 6 Quantification of Parameters -- 7 Geomorphic Evolution of Estuaries -- 8 Conceptual Models, Estuary Function, Modern Trends in Sedimentation -- 9 Conclusions -- References. , Chapter 4: Paleoecological Evidence for Variability and Change in Estuaries: Insights for Management -- 1 Introduction -- 2 Paleoecology -- 2.1 Natural Variability -- 2.2 Baseline State Prior to Human Impacts -- 2.3 Assessing Management Options -- 3 Integrating Paleoecology into the Scientific Basis for Management Actions -- 4 Concluding Remarks -- References -- Part II: Coring and Dating of Estuarine Sediments -- Chapter 5: Sediment Sampling in Estuaries: Site Selection and Sampling Techniques -- 1 Introduction -- 2 Consideration of "Experimental" Design -- 3 Prior to Field Work and Sampling -- 4 Surface Sampling -- 5 Coring: General Principles and Definitions -- 6 Multi-Drive Coring -- 7 Coring in Different Types of Sediments -- 8 Maximum Penetration of Subsurface: Measurements During Coring -- 9 Core Retrieval -- 10 Core Barrel Material: Use of Core Liner -- 11 Coring Techniques -- 11.1 Basic Open-Barrel Coring -- 11.2 Gravity Coring (Fig. 5.4) -- 11.3 Percussion/Hammer Coring -- 11.4 Vibro- (or Vibra-) Coring -- 11.5 Box Coring -- 11.6 Chamber-Style Coring -- 11.7 Piston Coring -- 11.8 Rotary Coring -- 11.9 Freeze Coring -- 12 Other Coring Considerations -- 13 Transport, Sub-Sampling and Storage of Cores -- 14 Concluding Remarks -- References -- Chapter 6: Some Practical Considerations Regarding the Application of 210Pb and 137Cs Dating to Estuarine Sediments -- 1 Introduction -- 2 The Basics of 210Pb Dating -- 3 The Basics of 137Cs Dating -- 4 Choice of 210Pb Dating Model in an Estuarine Setting -- 5 Working on a Mass Basis -- 6 Sediment Mixing -- 7 Post-depositional Mobility -- 8 Grain Size Dependency -- 9 Conclusions -- References -- Chapter 7: Radiocarbon Dating in Estuarine Environments -- 1 Introduction -- 2 Materials Suitable for Radiocarbon Dating, Pre-treatment Methods and Implications -- 2.1 Terrestrial Samples -- 2.2 Bulk Sediments. , 2.3 Carbonate Samples -- 3 Nomenclature and Guidelines on Reporting 14C Ages and Calibrated Ages -- 4 14C Reservoir Ages and Calculations -- 5 Estimating the Contemporaneous Atmospheric 14C Activity, 14CT(t) -- 6 Using R(t) to Constrain Age Modelling -- 7 Case Studies -- 7.1 Case I: 14C Reservoir Age Variability of the Baltic Sea -- 7.2 Case II: Local Reservoir Age Variability in Danish Fjords and Estuaries -- 7.3 Case III: 14C Variability Along the Coast of Scotland -- 8 Summary and Conclusions -- References -- Part III: Techniques for Palaeoenvironmental Reconstructions in Estuaries -- Chapter 8: Lipid Biomarkers as Organic Geochemical Proxies for the Paleoenvironmental Reconstruction of Estuarine Environments -- 1 Introduction -- 2 Biomarkers for Organic Matter Sources -- 2.1 Chlorophyll and Carotenoid Pigments -- 2.2 n-Alkyl Lipids: Fatty Acids, Alcohols and Alkanes -- 2.3 Sterols -- 2.4 Diterpenoids Including Resin Acids -- 2.5 Pentacyclic Triterpenoids, Including Hopanoids -- 2.6 Alkenones -- 2.7 Tetraether Membrane Lipids -- 2.8 Lignin -- 3 Paleoclimate Proxies -- 3.1 Alkenones and Derivatives -- 3.2 The GDGT-Based TEX86 and MBT/CBT Temperature and pH Proxies -- 3.3 Radiocarbon Measurements of Individual Compounds -- 4 Diagenetic Effects on Biomarker Distributions -- 4.1 Degradation of Chlorophylls and Carotenoids -- 4.2 Degradation of Sterols, Alkenones and GDGTs -- 4.3 Lignin Degradation -- 5 Effects of Changing Environmental Conditions Including Salinity on Lipid Distributions -- 6 Stable Isotopes of Carbon and Hydrogen to Assess Terrestrial Vegetation Changes and Terrestrial Hydrology -- 7 Conclusions -- References -- Chapter 9: C/N ratios and Carbon Isotope Composition of Organic Matter in Estuarine Environments -- 1 Introduction -- 2 Analytical Considerations -- 3 Sources of Organic Matter in Estuarine Systems -- 3.1 Terrestrial Plants. , 3.2 Aquatic Plants -- 3.3 Particulate and Dissolved Organic Carbon -- 3.4 Decomposition of Plants -- 4 Estuarine Palaeoenvironments -- 4.1 Saltmarsh -- 4.2 Riverine Estuaries -- 4.3 Mangrove Habitats -- 4.4 Lagoons -- 4.5 Isolation Basins -- 4.6 Fjords and Glacial Embayments -- 5 Summary -- References -- Chapter 10: Physical and Chemical Factors to Consider when Studying Historical Contamination and Pollution in Estuaries -- 1 Introduction -- 2 Contamination in Estuaries -- 2.1 Urban and Industrial Discharges -- 2.2 Mining Activities -- 2.3 Inputs from Agricultural Activities -- 2.4 Atmospheric Input -- 3 Factors Influencing the Deposition of Contaminants in Estuarine Sediments -- 3.1 Influence of Grain Size -- 3.2 Role of Colloidal Particles in Contaminant Transport -- 3.3 Influence of Salinity Gradients on Contaminant Transport -- 3.4 Seasonal Variability: An Australian Perspective -- 3.5 pH, Redox and Mobilization -- 3.6 Total Organic Carbon and its Importance in Partitioning and Binding -- 4 Sampling Considerations -- 4.1 Site Selection -- 4.2 Sample Collection and Storage -- 5 Targeted Analyses -- 6 Analytical Considerations -- 6.1 Sediment Normalization -- 6.1.1 Size Normalization -- 6.1.2 Inert Mineral Normalization -- 6.1.3 Chemically Mobile Fraction Normalization -- 6.1.4 Conservative Element Normalization -- 6.1.5 Post Extraction Normalization -- 6.2 Sequential Extraction -- 7 Measuring Organic Compounds -- 8 Interpreting Results of Field Studies -- 9 Future Considerations -- 10 Summary -- References -- Chapter 11: Diatoms as Indicators of Environmental Change in Estuaries -- 1 Introduction -- 2 Estuarine Diatom Ecology -- 3 Estuarine Diatom Taxonomic Keys -- 4 Applications of Diatoms to Estuarine Paleoecological Research -- 4.1 Natural Processes -- 4.1.1 Sea Level -- 4.1.2 Climate Variability -- 4.1.3 Floods, Hurricanes and Tsunamis. , 4.1.4 Earthquakes and Rates of Uplift -- 4.2 Anthropogenic Impacts -- 4.2.1 Salinity -- 4.2.2 Nutrients -- 4.2.3 Determining Ecosystem Response to Remediation -- 5 Potential Limitations of Using Diatoms in Paleo-estuarine Studies -- 6 Informative Limitations -- 7 Challenges Going Forward -- References -- Chapter 12: Dinoflagellate Cysts as Proxies for Holocene Environmental Change in Estuaries: Diversity, Abundance and Morphology -- 1 Introduction -- 2 The Link Between the Metabolically Active, Flagellated, Vegetative Stage and the Resting Cyst -- 3 Methods for Preparing and Studying Dinoflagellate Cysts -- 4 Dinoflagellate Cysts as Proxies of Nutrient Levels and Pollution -- 5 Dinoflagellate Cysts as Proxies of Salinity -- 6 Dinoflagellate Cysts as Proxies of Temperature -- 6.1 Effect of Temperature on Cyst Assemblage Composition -- 6.2 Effect of Temperature on Cyst Morphology -- 7 Summary -- References -- Chapter 13: Applications of Foraminifera, Testate Amoebae and Tintinnids in Estuarine Palaeoecology -- 1 Introduction -- 2 Foraminifera -- 2.1 Case Studies -- 2.1.1 Foraminiferal Assemblages of the UK Coasts: Sea-Level Reconstruction -- 2.1.2 Foraminiferal Assemblages in Gullmar Fjord, West Coast Sweden: Climate Variability -- 3 Testate Amoebae -- 3.1 Case Studies -- 3.1.1 Testate Amoebae Assemblages in Scheldt Estuary, Belgium: Water Level Changes -- 3.2 Testate Amoebae Assemblages in Atlantic North America: Sea-level Reconstruction -- 4 Tintinnida -- 4.1 Case Studies -- 4.1.1 Tintinnid Assemblages in the Coastal Regions of Sunderban Mangroves, India: Seasonal Environmental Variations -- 4.1.2 Tintinnid Assemblages in Atlantic Canada: Organic Matter Input -- 5 Summary -- References -- Chapter 14: Ostracods as Recorders of Palaeoenvironmental Change in Estuaries -- 1 Introduction -- 2 Ecology -- 3 Tools -- 3.1 Assemblages -- 3.2 Morphology. , 3.3 Preservation.
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  • 2
    Publication Date: 2017-11-14
    Description: Process length variation of cysts of the dinoflagellate Protoceratium reticulatum (Claparède et Lachmann) Bütschli in surface sediments from the North Pacific was investigated. The average process length showed a significant inverse relation to annual seawater density: σt annual = −0.8674 × average process length + 1029.3 (R2 = 0.84), with a standard error of 0.78 kg m−3. A sediment trap study from Effingham Inlet in British Columbia revealed the same relationship between average process length and local seawater density variations. In the Baltic–Skagerrak region, the average process length variation was related significantly to annual seawater density: σt annual = 3.5457 × average process length − 993.28 (R2 = 0.86), with a standard error of 3.09 kg m−3. These calibrations cannot be reconciled, which accentuates the regional character of the calibrations. This can be related to variations in molecular data (small subunit, long subunit and internal transcribed spacer sequences), which show the presence of several genotypes and the occurrence of pseudo-cryptic speciation within this species.
    Type: Article , PeerReviewed
    Format: text
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  • 3
    Publication Date: 2021-08-02
    Description: High Arctic ecosystems and Indigenous livelihoods are tightly linked and exposed to climate change, yet assessing their sensitivity requires a long-term perspective. Here, we assess the vulnerability of the North Water polynya, a unique seaice ecosystem that sustains the world’s northernmost Inuit communities and several keystone Arctic species. We reconstruct mid-tolate Holocene changes in sea ice, marine primary production, and little auk colony dynamics through multi-proxy analysis of marine and lake sediment cores. Our results suggest a productive ecosystem by 4400–4200 cal yrs b2k coincident with the arrival of the first humans in Greenland. Climate forcing during the late Holocene, leading to periods of polynya instability and marine productivity decline, is strikingly coeval with the human abandonment of Greenland from c. 2200–1200 cal yrs b2k. Our long-term perspective highlights the future decline of the North Water ecosystem, due to climate warming and changing sea-ice conditions, as an important climate change risk.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 4
    Publication Date: 2023-06-27
    Description: Relative contribution of the “marginal ice zone”, “drift-ice/pack-ice” and “summer subsurface” diatom indicator groups, diatom valve and Chaetoceros resting spore concentrations (valves or spores/g), diatom valve and Chaetoceros resting spore fluxes (valves or spores/unit surface area/yr), and total diatom fluxes (valves and spores/unit surface area/yr) from the marine sediment core AMD14-204 that was retrieved from the West Greenland shelf, offshore Upernavik, and which spans the last ca. 9,000 years.
    Keywords: AGE; Age, error; AMD14_1b; AMD14-204_CASQ; ArcticNet; Baffin Bay; Calculated; Calypso square corer; CASQ; CCGS Amundsen; Chaetoceros, spores, flux; Chaetoceros spp. resting spores per unit sediment mass; DEPTH, sediment/rock; diatoms; Diatoms; Diatoms, pelagic; Diatoms, sea-ice; Diatoms, total, flux; Diatoms, valves, flux; Diatom valves, per unit sediment mass; Geochemistry; Highly branched isoprenoid (HBI) biomarkers
    Type: Dataset
    Format: text/tab-separated-values, 749 data points
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  • 5
    Publication Date: 2023-07-09
    Description: Raw counts of fossil diatom taxa from the marine sediment core AMD14-204 that was retrieved from the West Greenland shelf, offshore Upernavik, and which spans the last ca. 9,000 years. Quantification was done using a light microscope (Olympus BX53, University of New Brunswick) with phase contrast optics, at 1000x magnification.
    Keywords: Achnanthes groenlandica; Actinocyclus curvatulus; AGE; AMD14_1b; AMD14-204_CASQ; ArcticNet; Asteromphalus spp.; Bacterosira bathyomphala; Bacterosira bathyomphala, resting spores; Baffin Bay; Calypso square corer; CASQ; CCGS Amundsen; Chaetoceros affinis, resting spores; Chaetoceros debilis, resting spores; Chaetoceros diadema, resting spores; Chaetoceros radicans, resting spores; Chaetoceros spp. resting spores; Cocconeis californica; Cocconeis costata; Cocconeis scutellum; Cocconeis spp.; Coscinodiscus spp.; Counting, diatoms; Cymatotheca spp.; DEPTH, sediment/rock; diatoms; Diatoms, centrales; Diatoms, pennales; Diatoms, pennales indeterminata; Diploneis spp.; Fields; Fossula arctica; Fragilariopsis atlantica; Fragilariopsis cylindrus; Fragilariopsis nana; Fragilariopsis oceanica; Fragilariopsis reginae-jahniae; Fragilariopsis spp.; Geochemistry; Gomphonemopsis littoralis; Grammatophora angulosa var. islandica; Highly branched isoprenoid (HBI) biomarkers; Mass; Melosira arctica; Melosira setosa; Navicula spp.; Nitzschia spp.; Odontella aurita; Paralia sulcata; Pauliella taeniata; Podosira cf. stelligera; Porosira glacialis; Pseudogomphonema cf. kamtschaticum; Rhizosolenia hebetata forma hebetata; Rhizosolenia hebetata forma semispina; Rhizosolenia spp.; Shionodiscus oestrupii; Shionodiscus trifultus; Synedropsis recta; Tabularia tabulata; Thalassiosira anguste-lineata; Thalassiosira antarctica var. borealis; Thalassiosira antarctica var. borealis, resting spores; Thalassiosira bulbosa; Thalassiosira constricta; Thalassiosira eccentrica; Thalassiosira gravida; Thalassiosira hyalina; Thalassiosira hyperborea; Thalassiosira nordenskioldii; Thalassiosira spp.; Thalassiothrix longissima
    Type: Dataset
    Format: text/tab-separated-values, 4799 data points
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  • 6
    Publication Date: 2023-06-27
    Description: Concentrations of the sea-ice biomarker IP25 and highly branched isoprenoid triene (HBI III) (ng/g), total organic carbon content (TOC; %), IP25 and HBI III concentrations normalized to TOC (ng/gTOC), and fluxes of IP25 and HBI III (ng/unit surface area/yr) from the marine sediment core AMD14-204_CASQ that was retrieved from the West Greenland shelf, offshore Upernavik, and which spans the last ca. 9,000 years.
    Keywords: 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane, flux; 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane, per unit mass total organic carbon; 2,6,10,14-Tetramethyl-7-(3-methylpent-4-enyl)pentadecane per unit sediment mass; AGE; AMD14_1b; AMD14-204_CASQ; ArcticNet; Baffin Bay; Calculated; Calypso square corer; Carbon, organic, total; CASQ; CCGS Amundsen; DEPTH, sediment/rock; diatoms; Gas chromatography - Mass spectrometry (GC-MS); Geochemistry; Highly branched isoprenoid (HBI) biomarkers; Highly branched isoprenoids, triunsatured; Highly branched isoprenoids, triunsatured, flux; Highly branched isoprenoids, triunsatured, per unit mass total organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 1925 data points
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  • 7
    Publication Date: 2023-06-27
    Description: Total sedimentary organic carbon contents (TOC; %), total nitrogen (TN; %), ratio TOC to TN, carbon and nitrogen isotopic compositions (‰) from the marine sediment core AMD14-204 that was retrieved from the West Greenland shelf, offshore Upernavik, and which spans the last ca. 9,000 years.
    Keywords: AGE; AMD14_1b; AMD14-204_CASQ; ArcticNet; Baffin Bay; Calculated; Calypso square corer; Carbon, organic, total; Carbon, organic, total/Nitrogen, total ratio; CASQ; CCGS Amundsen; DEPTH, sediment/rock; diatoms; Element analyser CHN, LECO CS 125; Geochemistry; Highly branched isoprenoid (HBI) biomarkers; Nitrogen, total; Thermo Scientific Flash 2000-Delta V Plus IRMS; δ13C, organic carbon; δ15N, bulk sediment
    Type: Dataset
    Format: text/tab-separated-values, 409 data points
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  • 8
    Publication Date: 2023-12-01
    Description: Diatom concentrations (valves/g) from the top 0,5 cm surface sediment from the Belcher Islands Archipelago, south-eastern Hudson Bay, Canada on April 15th, 2019, using a Kajak-Brinkhurst gravity corer. The surface sediment data diatom concentrations (valves/g). Diatom quantifications were done using a light microscope (Zeiss Axio Imager.A2 upright research microscope, University of Helsinki) with phase contrast optics at a x1000 (diatoms) magnification.
    Keywords: Aulacoseira spp.; Bacterosira bathyomphala; Belcher_Islands_SQ19-1B; Berkeleya scopulorum; Caloneis sp.; Chaetoceros spp. resting spores; Cocconeis costata; Coscinodiscus centralis; Coscinodiscus radiatus; Craspedopleura kryophila; DEPTH, sediment/rock; Depth, sediment/rock, bottom/maximum; Depth, sediment/rock, top/minimum; Diatom; Diatoms; Diatoms, valves, including chaetoceros spp., resting spores; Dinoflagellate cysts; Diploneis cf. smithii; Diploneis litoralis var. arctica; Diploneis litoralis var. clathrata; Entomoneis gigantea; Entomoneis kjellmanii; Fossulaphycus arcticus; Fragilaria spp.; Fragilariopsis cylindrus; Fragilariopsis oceanica; Fragilariopsis reginae-jahniae; Gyrosigma hudsonii; Haslea kjellmanii; Highly branched isoprenoid (HBI) biomarkers; Hudson Bay; Light microscope, Zeiss, Axio Imager.A2; Melosira arctica; Navicula directa; Navicula imperfecta; Navicula kuripanensis var. borealis; Navicula transitans; Navicula valida; Nitzschia borealis; Nitzschia frigida; Nitzschia gelida var. manitounukensis; Nitzschia hudsonii; Paralia sulcata; Pinnularia quadratarea; Pinnularia quadratarea var. bicuneata; Pinnularia semiinflata; Plagiotropis maxima; Pleurosigma rhomboides; Porosira glacialis; Pseudogomphonema septentrionale var. septentrionale; Rhizosolenia spp.; Sample ID; sediment trap; Sinerima marigela; Stauroneis radissonii; Stenoneis inconspicua var. baculus; Surirella spp.; Tabularia fasciculata; Tabularia spp.; Tabularia tabulata; Thalassiosira angulata; Thalassiosira antarctica var. borealis, spore; Thalassiosira antarctica var. borealis, vegetative cell; Thalassiosira bulbosa; Thalassiosira gravida; Thalassiosira hyperborea; Thalassiosira nordenskioldii; Valves, total
    Type: Dataset
    Format: text/tab-separated-values, 61 data points
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  • 9
    Publication Date: 2023-12-01
    Description: Relative abundances (%) of diatoms from the bottom 5 cm of modern sea ice samples from the Belcher Islands Archipelago, south-eastern Hudson Bay, Canada between April and May 2019 using a Kovacs Mark II core barrel with an internal diameter of 9 cm. Diatom quantification was done using a light microscope (Zeiss Axio Imager.A2 upright research microscope, University of Helsinki) with phase contrast optics at a x1000 magnification.
    Keywords: Amphiprora pseudoduplex; Amphora laevis; Amphora laevissima; Amphora spp.; Astartiella spp.; Aulacoseira ambigua; Aulacoseira islandica; Aulacoseira spp.; Belcher_Islands_SQ19-1D; Belcher_Islands_SQ19-2D; Belcher_Islands_SQ19-3D; Belcher_Islands_SQ19-4D; Belcher_Islands_SQ19-5D; Belcher_Islands_SQ19-6D; Belcher_Islands_SQ19-7D; Belcher_Islands_SQ19-8D; Belcher_Islands_SQ19-9D; Biremis ambigua; Biremis solitaria; Biremis spp.; Brachysira spp.; Caloneis sp.; Chaetoceros, resting spores; Chaetoceros, vegetative cells; Craspedopleura kryophila; Date/Time of event; Diatom; Dinoflagellate cysts; Diploneis litoralis var. arctica; Diploneis litoralis var. clathrata; Diploneis spp.; Diploneis subcincta; Entomoneis concilians; Entomoneis gigantea; Entomoneis kjellmanii; Entomoneis paludosa; Entomoneis pseudoduplex; Entomoneis spp.; Event label; Fallacia forcipata; Fragilariopsis cylindrus; Fragilariopsis oceanica; Fragilariopsis reginae-jahniae; Gomphonemopsis spp.; Gyrosigma diaphanum; Gyrosigma hudsonii; Gyrosigma spp.; Gyrosigma tenuissimum var. hyperborea; Hantzschia weyprechtii; Haslea crucigeroides; Haslea kjellmanii; Highly branched isoprenoid (HBI) biomarkers; Hudson Bay; Ice drilling corer (Kovacs); Kurpiszia kryokonites; Kurpiszia subprotracta; Latitude of event; Longitude of event; Navicula algida; Navicula directa; Navicula gelida; Navicula glaciei; Navicula hanseatica; Navicula imperfecta; Navicula impexa; Navicula kariana var. detersa; Navicula kariana var. frigida; Navicula lineola var. lineata; Navicula lineola var. perlepida; Navicula ludloviana var. unilateralis; Navicula novadecipiens; Navicula oestrupii; Navicula pagophila var. manitounukensis; Navicula pelagica; Navicula pellucidula; Navicula sibirica; Navicula spp.; Navicula subinflata; Navicula superba; Navicula transistans; Navicula transistans var. detersa; Navicula trigonocephala var. depressa; Navicula trigonocephala var. trigonocephala; Navicula valida; Navicula valida var. minuta; Navicula vanhoeffenii; Nitzschia angularis; Nitzschia borealis; Nitzschia capitellata; Nitzschia cf. distans; Nitzschia cf. kryophila; Nitzschia cf. littorea; Nitzschia distans var. erratica; Nitzschia frigida; Nitzschia gelida; Nitzschia gelida var. manitounukensis; Nitzschia hudsonii; Nitzschia hybrida; Nitzschia laevissima; Nitzschia lanceolata; Nitzschia neofrigida; Nitzschia polaris; Nitzschia sp.; Nitzschia spp.; Petroneis glacialis; Petroneis glacialis var. hudsonii; Pinnularia quadratarea var. bicontracta; Pinnularia quadratarea var. constricta; Pinnularia quadratarea var. cuneata; Pinnularia quadratarea var. dubia; Pinnularia quadratarea var. leptostauron; Pinnularia quadratarea var. maxima; Pinnularia quadratarea var. minor; Pinnularia quadratarea var. quadratarea; Pinnularia quadratarea var. subglabra; Pinnularia semiinflata; Pinnularia semiinflata var. decipiens; Pinnularia spp.; Plagiotropis maxima; Plagiotropis spp.; Pleurosigma clevei; Pleurosigma clevei var. manitounukensis; Pleurosigma rhomboides; Pleurosigma spp.; Pleurosigma stuxbergii; Pseudogomphonema groenlandicum; Pseudogomphonema septentrionale; Relative abundance (counted and calculated); Rhoicosphenia marina; Sample ID; sediment trap; Stauroneis radissonii; Stauroneis sp.; Stauronella arctica; Stauronella indubitabilis; Stenoneis inconspicua var. baculus; Stenoneis obtuserostrata; Stenoneis wojtek-kowalskii; Thalassiosira hyperborea var. hyperborea
    Type: Dataset
    Format: text/tab-separated-values, 1080 data points
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  • 10
    Publication Date: 2023-12-01
    Description: Relative abundances (%) of diatoms from modern water column samples collected from the Belcher Islands Archipelago, south-eastern Hudson Bay, Canada between April and May 2019 using a plankton net (Ø 18 cm, 10 µm, 30-m net haul). Diatom quantification was done using a light microscope (Zeiss Axio Imager.A2 upright research microscope, University of Helsinki) with phase contrast optics at a x1000 magnification.
    Keywords: Amphora laevissima; Aulacoseira spp.; Bacterosira bathyomphala; Belcher_Islands_SQ19-1A; Belcher_Islands_SQ19-2A; Belcher_Islands_SQ19-3A; Belcher_Islands_SQ19-4A; Belcher_Islands_SQ19-5A; Belcher_Islands_SQ19-6A; Belcher_Islands_SQ19-7A; Belcher_Islands_SQ19-8A; Belcher_Islands_SQ19-9A; Berkeleya scopulorum; Bistorta-type; Bottle, Kemmerer; Chaetoceros spp. resting spores; Cocconeis costata; Cocconeis scutellum; Coscinodiscus centralis; Coscinodiscus radiatus; Date/Time of event; Diatom; Dinoflagellate cysts; Diploneis cf. smithii; Diploneis litoralis var. arctica; Diploneis litoralis var. clathrata; Entomoneis gigantea; Entomoneis kjellmanii; Event label; Fossulaphycus arcticus; Fragilaria spp.; Fragilariopsis cylindrus; Fragilariopsis oceanica; Fragilariopsis reginae-jahniae; Gyrosigma hudsonii; Haslea kjellmanii; Highly branched isoprenoid (HBI) biomarkers; Hudson Bay; KEM; Kurpiszia kryokonites; Kurpiszia subprotracta; Latitude of event; Longitude of event; Navicula algida; Navicula cf. glaciei; Navicula directa; Navicula gregaria; Navicula imperfecta; Navicula kariana var. detersa; Navicula kuripanensis var. borealis; Navicula phyllepta; Navicula spp.; Navicula transitans; Navicula transitans var. derasa; Navicula valida var. minuta; Navicula valida var. valida; Nitzschia angularis; Nitzschia borealis; Nitzschia frigida; Nitzschia gelida var. manitounukensis; Nitzschia hudsonii; Nitzschia laevissima; Nitzschia neofrigida; Nitzschia polaris; Nitzschia sp.; Paralia sulcata; Petroneis glacialis; Pinnularia quadratarea; Pinnularia quadratarea var. bicontracta; Pinnularia quadratarea var. bicuneata; Pinnularia semiinflata; Pinnularia spp.; Plagiotropis maxima; Pleurosigma rhomboides; Pleurosigma stuxbergii; Porosira glacialis; Pseudogomphonema septentrionale var. septentrionale; Relative abundance (counted and calculated); Sample ID; sediment trap; Stauroneis radissonii; Stenoneis inconspicua var. baculus; Tabularia fasciculata; Tabularia spp.; Tabularia tabulata; Thalassiosira angulata; Thalassiosira anguste-lineata; Thalassiosira antarctica var. borealis, resting spores; Thalassiosira antarctica var. borealis, vegetative cell; Thalassiosira bulbosa; Thalassiosira gravida; Thalassiosira hyperborea; Thalassiosira nordenskioldii; Thalassiosira spp.
    Type: Dataset
    Format: text/tab-separated-values, 666 data points
    Location Call Number Limitation Availability
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