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  • Blackwell Publishing Ltd
  • PANGAEA
  • 2015-2019  (10)
  • 1960-1964  (7)
Collection
Keywords
Publisher
Years
Year
  • 1
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    Multi-scale data on intertidal macrobenthic biodiversity and environmental features in Kaipara, Tauranga, and Manukau Harbours, New Zealand (2019)
    PANGAEA
    Details
    Publication Date: 2024-03-01
    Description: Within the project Spatial Organization of Species Distributions: Hierarchical and Scale-Dependent Patterns and Processes in Coastal Seascapes at the National Institute for Water and Atmospheric Research (NIWA) in New Zealand we collected multi-scale (30cm to 1km) and high resolution data (3 x 400 cores) on macrobenthic biodiversity (146 species), i.e. bivalves, polychaetes and crustaceans (〉 500μm) that live hidden in marine sandflats, and point measurements of important environmental variables (3 x 320 samples), i.e. sediment grain-size distributions measured with a Malvern Mastersizer, chlorophyll a concentrations measured by a fluorometer, and visible sandflat parameters whose coverage was estimated from photos, in three large intertidal Harbours (Kaipara, Tauranga and Manukau). In each Harbour we sampled 400 points for macrobenthic community composition and abundances, as well as the full set of environmental variables, covering spatial scales of a few centimetres to a maximal extent of 1 km. The six tables can be joined by the field "label[ID]", whereas the field [species_abbreviation] can be linked to the species-list (Table 1) to obtain the full scientific name.
    Keywords: AWI_FuncEco; Biodiversity; Chlorophyll a; Functional Ecology @ AWI; intertidal; Macrobenthos; multi-scale; New Zealand; sediment grain-size distributions; spatial
    Type: Dataset
    Format: application/zip, 6 datasets
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    DATA PANGAEA
  • 2
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    Snail shell growth at control and elevated temperature and ocean acidification conditions (2019)
    PANGAEA
    In:  Supplement to: Lord, Joshua P; Harper, Elizabeth M; Barry, J P (2019): Ocean acidification may alter predator-prey relationships and weaken nonlethal interactions between gastropods and crabs. Marine Ecology Progress Series, 616, 83-94, https://doi.org/10.3354/meps12921
    Details
    Publication Date: 2024-03-15
    Description: Predator-prey interactions often drive ecological patterns and are governed by factors including predator feeding rates, prey behavioral avoidance, and prey structural defenses. Invasive species can also play a large ecological role by disrupting food webs, driving local extinctions, and influencing evolutionary changes in prey defense mechanisms. This study documents a substantial reduction in the behavioral and morphological responses of multiple gastropod species (Nucella lapillus, N. ostrina, Urosalpinx cinerea) to an invasive predatory crab (green crab Carcinus maenas) under ocean acidification conditions. These results suggest that climate-related changes in ocean chemistry may diminish non-lethal effects of predators on prey responses including behavioral avoidance. While snails with varying shell mineralogies were similarly successful at deterring predation, those with primarily aragonitic shells were more susceptible to dissolution and erosion under high CO2 conditions. The varying susceptibility to predation among species with similar ecological roles could indicate that the impacts of invasive species like green crabs could be modulated by the ability of native and invasive prey to withstand ocean acidification conditions.
    Keywords: Alkalinity, total; Animalia; Aragonite saturation state; Behaviour; Benthic animals; Benthos; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Change; Coast and continental shelf; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Identification; Length; Mass; Mass change; Mollusca; North Atlantic; North Pacific; Nucella lapillus; Nucella ostrina; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Registration number of species; Salinity; Salinity, standard deviation; Shell growth; Single species; Species; Species interaction; Temperate; Temperature; Temperature, water; Temperature, water, standard deviation; Treatment; Type; Uniform resource locator/link to reference; Urosalpinx cinerea
    Type: Dataset
    Format: text/tab-separated-values, 6119 data points
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    DATA PANGAEA
  • 3
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    (Table 4) Chlorophyll a concentrations in Kaipara, Tauranga, and Manukau Harbours, New Zealand (2012) (2019)
    PANGAEA
    Details
    Publication Date: 2024-03-01
    Keywords: AWI_FuncEco; Biodiversity; Chlorophyll a; Chlorophyll a per unit sediment mass; Event label; Functional Ecology @ AWI; intertidal; Kaipara; Macrobenthos; Manukau; MULT; Multiple investigations; multi-scale; New Zealand; ORDINAL NUMBER; Pheophytin per unit sediment mass; Sample code/label; sediment grain-size distributions; spatial; Tauranga
    Type: Dataset
    Format: text/tab-separated-values, 2880 data points
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  • 4
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    (Table 1) Macrobenthic species-list in Kaipara, Tauranga, and Manukau Harbours, New Zealand (2012) (2019)
    PANGAEA
    Details
    Publication Date: 2024-03-01
    Keywords: Abbreviation; AWI_FuncEco; Family; Functional Ecology @ AWI; Phylum; Species; Subclass
    Type: Dataset
    Format: text/tab-separated-values, 741 data points
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  • 5
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    (Table 5) Measured bivalve-sizes in Kaipara, Tauranga, and Manukau Harbours, New Zealand (2012) (2019)
    PANGAEA
    Details
    Publication Date: 2024-03-01
    Keywords: AWI_FuncEco; Biodiversity; Chlorophyll a; Event label; Functional Ecology @ AWI; intertidal; Kaipara; Macrobenthos; Manukau; MULT; Multiple investigations; multi-scale; New Zealand; Number of individuals; Number per class; ORDINAL NUMBER; Sample code/label; sediment grain-size distributions; spatial; Species; Tauranga
    Type: Dataset
    Format: text/tab-separated-values, 14060 data points
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  • 6
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    CO2-driven decrease in pH disrupts olfactory behaviour and increases individual variation in deep-sea hermit crabs (2016)
    PANGAEA
    In:  Supplement to: Kim, Tae Won; Taylor, Josi; Lovera, Chris; Barry, J P (2015): CO2-driven decrease in pH disrupts olfactory behaviour and increases individual variation in deep-sea hermit crabs. ICES Journal of Marine Science, https://doi.org/10.1093/icesjms/fsv019
    Details
    Publication Date: 2024-03-15
    Description: Deep-sea species are generally thought to be less tolerant of environmental variation than shallow-living species due to the relatively stable conditions in deep waters for most parameters (e.g. temperature, salinity, oxygen, and pH). To explore the potential for deep-sea hermit crabs (Pagurus tanneri) to acclimate to future ocean acidification, we compared their olfactory and metabolic performance under ambient (pH 7.6) and expected future (pH 7.1) conditions. After exposure to reduced pH waters, metabolic rates of hermit crabs increased transiently and olfactory behaviour was impaired, including antennular flicking and prey detection. Crabs exposed to low pH treatments exhibited higher individual variation for both the speed of antennular flicking and speed of prey detection, than observed in the control pH treatment, suggesting that phenotypic diversity could promote adaptation to future ocean acidification.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Arthropoda; Behaviour; Benthic animals; Benthos; Bicarbonate ion; Bicarbonate ion, standard deviation; 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 ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Coulometric titration; Date; Deep-sea; EXP; Experiment; Figure; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Identification; Laboratory experiment; Monterey_Bay; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Pagurus tanneri; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Respiration; Respiration rate, oxygen; Salinity; Salinity, standard deviation; Single species; Species; Spectrophotometric; Temperate; Temperature, water; Temperature, water, standard deviation; Time in seconds; Time point, descriptive; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 12097 data points
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  • 7
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    Seawater carbonate chemistry and fertilization success of red abalone (2017)
    PANGAEA
    In:  Supplement to: Boch, Charles A; Litvin, Steven Y; Micheli, Fiorenza; De Leo, Giulio; Aalto, Emil A; Lovera, Christopher; Woodson, C Brock; Monismith, Stephen; Barry, J P (2017): Effects of current and future coastal upwelling conditions on the fertilization success of the red abalone (Haliotis rufescens). ICES Journal of Marine Science, https://doi.org/10.1093/icesjms/fsx017
    Details
    Publication Date: 2024-03-15
    Description: Acidification, deoxygenation, and warming are escalating changes in coastal waters throughout the world ocean, with potentially severe consequences for marine life and ocean-based economies. To examine the influence of these oceanographic changes on a key biological process, we measured the effects of current and expected future conditions in the California Current Large Marine Ecosystem on the fertilization success of the red abalone (Haliotis rufescens). Laboratory experiments were used to assess abalone fertilization success during simultaneous exposure to various levels of seawater pH (gradient from 7.95 to 7.2), dissolved oxygen (DO) (60 and 180 µm/kg SW) and temperature (9, 13, and 18 °C). Fertilization success declined continuously with decreasing pH but dropped precipitously below a threshold near pH 7.55 in cool (9 °C upwelling) to average (13 °C) seawater temperatures. Variation in DO had a negligible effect on fertilization. In contrast, warmer waters (18 °C) often associated with El Nino Southern Oscillation conditions in central California acted antagonistically with decreasing pH, largely reducing the strong negative influence below the pH threshold. Experimental approaches that examine the interactive effects of multiple environmental drivers and also strive to characterize the functional response of organisms along gradients in environmental change are becoming increasingly important in advancing our understanding of the real-world consequences of changing ocean conditions.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Benthic animals; Benthos; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; Comment; Date; Eggs; Eggs, abnormal; Eggs, four-cell stage; Eggs, two-cell stage; Eggs, unfertilized; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Haliotis rufescens; Individuals; Laboratory experiment; Mollusca; Name; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Oxygen; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; Potentiometric; Registration number of species; Reproduction; Salinity; Sample ID; Single species; Species; Temperate; Temperature; Temperature, water; Time in hours; Time in minutes; Time in seconds; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 9002 data points
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  • 8
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    (Table 3) Sampling locations and visible sandflat parameters in Kaipara, Tauranga, and Manukau Harbours, New Zealand (2012) (2019)
    PANGAEA
    Details
    Publication Date: 2024-03-01
    Keywords: AWI_FuncEco; Biodiversity; Calculated; Chlorophyll a; Easting, New Zealand Transverse Mercator 2000; Event label; Functional Ecology @ AWI; Global positioning system; GPS; intertidal; Kaipara; LATITUDE; LONGITUDE; Macrobenthos; Manukau; MULT; Multiple investigations; multi-scale; New Zealand; Northing, New Zealand Transverse Mercator 2000; ORDINAL NUMBER; Sample code/label; Sand, cover; Seagrass, cover; sediment grain-size distributions; Shell debris, cover; spatial; Tauranga
    Type: Dataset
    Format: text/tab-separated-values, 6411 data points
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  • 9
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    (Table 2) Sediment measurements in Kaipara, Tauranga, and Manukau Harbours, New Zealand (2012) (2019)
    PANGAEA
    Details
    Publication Date: 2024-03-01
    Keywords: AWI_FuncEco; Biodiversity; Chlorophyll a; Event label; Functional Ecology @ AWI; Grain size, maximum; Grain size, minimum; intertidal; Kaipara; Macrobenthos; Manukau; Median, grain size; MULT; Multiple investigations; multi-scale; New Zealand; ORDINAL NUMBER; Organic content; Sample code/label; sediment grain-size distributions; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 〉 0.500 mm, gravel; Size fraction 0.125-0.063 mm, 3.0-4.0 phi, very fine sand; Size fraction 0.250-0.125 mm, 2.0-3.0 phi, fine sand; Size fraction 0.500-0.250 mm, 1.0-2.0 phi, medium sand; spatial; Tauranga
    Type: Dataset
    Format: text/tab-separated-values, 9600 data points
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  • 10
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    (Table 6) Abundance of macrobenthic fauna in Kaipara, Tauranga, and Manukau Harbours, New Zealand (2012) (2019)
    PANGAEA
    Details
    Publication Date: 2024-03-01
    Keywords: AWI_FuncEco; Biodiversity; Chlorophyll a; Event label; Functional Ecology @ AWI; Individuals; intertidal; Kaipara; Macrobenthos; Manukau; MULT; Multiple investigations; multi-scale; New Zealand; ORDINAL NUMBER; Sample code/label; sediment grain-size distributions; spatial; Species; Tauranga
    Type: Dataset
    Format: text/tab-separated-values, 67808 data points
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