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  • 1
    Publication Date: 2019-09-23
    Description: Ocean acidification (OA) research seeks to understand how marine ecosystems and global elemental cycles will respond to changes in seawater carbonate chemistry in combination with other environmental perturbations such as warming, eutrophication, and deoxygenation. Here, we discuss the effectiveness and limitations of current research approaches used to address this goal. A diverse combination of approaches is essential to decipher the consequences of OA to marine organisms, communities, and ecosystems. Consequently, the benefits and limitations of each approach must be considered carefully. Major research challenges involve experimentally addressing the effects of OA in the context of large natural variability in seawater carbonate system parameters and other interactive variables, integrating the results from different research approaches, and scaling results across different temporal and spatial scales.
    Type: Article , PeerReviewed
    Format: text
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  • 2
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    PANGAEA
    In:  Supplement to: Tatters, Avery O; Schnetzer, Astrid; Fu, Feixue; Lie, Alle Y A; Caron, David A; Hutchins, David A (2013): Short- versus long-term responses to changing CO2 in a coastal dinoflagellate bloom: implications for interspecific competitive interactions and community structure. Evolution, 67(7), 1879-1891, https://doi.org/10.1111/evo.12029
    Publication Date: 2024-04-03
    Description: Increasing pCO2 (partial pressure of CO2 ) in an "acidified" ocean will affect phytoplankton community structure, but manipulation experiments with assemblages briefly acclimated to simulated future conditions may not accurately predict the long-term evolutionary shifts that could affect inter-specific competitive success. We assessed community structure changes in a natural mixed dinoflagellate bloom incubated at three pCO2 levels (230, 433, and 765 ppm) in a short-term experiment (2 weeks). The four dominant species were then isolated from each treatment into clonal cultures, and maintained at all three pCO2 levels for approximately 1 year. Periodically (4, 8, and 12 months), these pCO2 -conditioned clones were recombined into artificial communities, and allowed to compete at their conditioning pCO2 level or at higher and lower levels. The dominant species in these artificial communities of CO2 -conditioned clones differed from those in the original short-term experiment, but individual species relative abundance trends across pCO2 treatments were often similar. Specific growth rates showed no strong evidence for fitness increases attributable to conditioning pCO2 level. Although pCO2 significantly structured our experimental communities, conditioning time and biotic interactions like mixotrophy also had major roles in determining competitive outcomes. New methods of carrying out extended mixed species experiments are needed to accurately predict future long-term phytoplankton community responses to changing pCO2 .
    Keywords: Alexandrium sp.; Alkalinity, total; Aragonite saturation state; 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; Cell density; Chromista; Coast and continental shelf; Coulometric titration; Coulometry; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gonyaulax sp.; Growth/Morphology; Growth rate; Identification; Incubation duration; Laboratory experiment; Lingulodinium polyedrum; Myzozoa; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH meter; Phytoplankton; Potentiometric; Prorocentrum micans; Replicate; Salinity; Species; Species interaction; Temperate; Temperature, water; Treatment; Tropical
    Type: Dataset
    Format: text/tab-separated-values, 5616 data points
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  • 3
    Publication Date: 2024-04-03
    Description: Ocean acidification and greenhouse warming will interactively influence competitive success of key phytoplankton groups such as diatoms, but how long-term responses to global change will affect community structure is unknown. We incubated a mixed natural diatom community from coastal New Zealand waters in a short-term (two-week) incubation experiment using a factorial matrix of warming and/or elevated pCO2 and measured effects on community structure. We then isolated the dominant diatoms in clonal cultures and conditioned them for 1 year under the same temperature and pCO2 conditions from which they were isolated, in order to allow for extended selection or acclimation by these abiotic environmental change factors in the absence of interspecific interactions. These conditioned isolates were then recombined into 'artificial' communities modelled after the original natural assemblage and allowed to compete under conditions identical to those in the short-term natural community experiment. In general, the resulting structure of both the unconditioned natural community and conditioned 'artificial' community experiments was similar, despite differences such as the loss of two species in the latter. pCO2 and temperature had both individual and interactive effects on community structure, but temperature was more influential, as warming significantly reduced species richness. In this case, our short-term manipulative experiment with a mixed natural assemblage spanning weeks served as a reasonable proxy to predict the effects of global change forcing on diatom community structure after the component species were conditioned in isolation over an extended timescale. Future studies will be required to assess whether or not this is also the case for other types of algal communities from other marine regimes.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Aragonite saturation state, standard deviation; 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; Cell density; Chaetoceros criophilus; Coast and continental shelf; Community composition and diversity; Coscinodiscus sp.; Coulometric titration; Cylindrotheca fusiformis; Entire community; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Growth rate, standard deviation; Incubation duration; Laboratory experiment; Navicula sp.; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Pseudonitzschia delicatissima; Salinity; Sample ID; South Pacific; Species; Spectrophotometric; Temperate; Temperature; Temperature, water; Thalassiosira sp.; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 10188 data points
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  • 4
    Publication Date: 2022-05-25
    Description: Author Posting. © The Author(s), 2009. This is the author's version of the work. It is posted here by permission of American Society for Microbiology for personal use, not for redistribution. The definitive version was published in Applied and Environmental Microbiology 75 (2009): 5797-5808, doi:10.1128/AEM.00298-09.
    Description: DNA sequence information has been increasingly used in ecological research on microbial eukaryotes. Sequence-based approaches have included studies of the total diversity of selected ecosystems, the autecology of ecologically relevant species, and the identification and enumeration of species of interest to human health. It is still uncommon, however, to delineate protistan species based on their genetic signatures. The reluctance to assign species-level designations based on DNA sequences is partly a consequence of the limited amount of sequence information presently available for many free-living microbial eukaryotes, and partly the problematic nature and debate surrounding the microbial species concept. Despite the difficulties inherent in assigning species names to DNA sequences, there is a growing need to attach meaning to the burgeoning amount of sequence information entering the literature, and a growing desire to apply this information in ecological studies. We describe a computer-based tool that assigns DNA sequences from environmental databases to operational taxonomic units at approximate species-level distinctions. The approach provides a practical method for ecological studies of microbial eukaryotes (primarily protists) by enabling semiautomated analysis of large numbers of samples spanning great taxonomic breadth. Derivation of the algorithm was based on an analysis of complete small subunit ribosomal RNA (18S) gene sequences and partial gene sequences obtained from GenBank for morphologically described protistan species. The program was tested using environmental 18S data sets from two oceanic ecosystems. A total of 388 operational taxonomic units were observed among 2,207 sequences obtained from samples collected in the western North Atlantic and eastern North Pacific.
    Description: Support for this manuscript was provided by National Science Foundation grants MCB-0732066, MCB-0703159 and OCE-0550829 and a grant from the Gordon and Betty Moore Foundation.
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
    Format: application/pdf
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  • 5
    Publication Date: 2022-05-27
    Description: Dataset: Ichthyoplankton Density - MOCNESS
    Description: This dataset includes ichthyoplankton density and plankton displacement volume data collected using MOCNESS plankton nets (1x2m, equipped with 10 nets of 333um mesh widths) during three NSF RAPID Plankton cruises. RAPID Plankton Cruise 1 took place on R/V Point Sur, cruise number PS1813, from October 28-November 3, 2017. RAPID Plankton Cruise 2 took place on R/V Pelican, cruise number PE18-18, from January 6- 12, 2018. RAPID Plankton Cruise 3 took place on R/V Pelican, cruise number PE18-21, from March 19- 23, 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/829545
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1760674
    Description: 2021-08-31
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 6
    Publication Date: 2022-05-27
    Description: Dataset: CTD
    Description: This dataset includes processed CTD data collected during three NSF RAPID Plankton cruises. RAPID Plankton Cruise 1 took place on R/V Point Sur, cruise number PS1813, from October 28-November 3, 2017. RAPID Plankton Cruise 2 took place on R/V Pelican, cruise number PE18-18, from January 6- 12, 2018. RAPID Plankton Cruise 3 took place on R/V Pelican, cruise number PE18-21, from March 19- 23, 2018. Data were collected at 10 stations on each cruise. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/827969
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1760704, NSF Division of Ocean Sciences (NSF OCE) OCE-1760674, NSF Division of Ocean Sciences (NSF OCE) OCE-1760465
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 7
    Publication Date: 2022-05-26
    Description: Dataset: PlankDOM NA1
    Description: A mixed assemblage of natural phytoplankton community collected from waters offshore of North Carolina were used to create planktonic dissolved organic matter (DOM) and particulate organic matter (POM). The latter was extracted with 0.1 M NaOH to create base-extracted POM (BEPOM). Methods are reported in Kinsey et al. (2018) and Osburn et al. (2019). The medium used was: Natural Assemblage 2x filtered North Atlantic Surface water with f/2 nutrients; Whole water experiment - unfiltered North Atlantic Surface water with f/20 nutrients Irradiance ~70-100 umol photon m-2 s-1 (cool white bulbs); on roller table; diel cycle, 19 °C For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/773802
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1547976, NSF Division of Ocean Sciences (NSF OCE) OCE-1459406, NSF Division of Ocean Sciences (NSF OCE) OCE-1459294
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 8
    Publication Date: 2022-05-26
    Description: Dataset: Ichthyoplankton Density - Ring
    Description: This dataset includes ichthyoplankton density and plankton displacement volume data collected using SEA-GEAR plankton ring nets during three NSF RAPID Plankton cruises. RAPID Plankton Cruise 1 took place on R/V Point Sur, cruise number PS1813, from October 28-November 3, 2017. RAPID Plankton Cruise 2 took place on R/V Pelican, cruise number PE18-18, from January 6- 12, 2018. RAPID Plankton Cruise 3 took place on R/V Pelican, cruise number PE18-21, from March 19- 23, 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/829485
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1760674
    Description: 2021-08-31
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 9
    Publication Date: 2022-05-27
    Description: Dataset: Ichthyoplankton Density - Bongo
    Description: This dataset includes ichthyoplankton density and plankton displacement volume data collected using NOAA SEAMAP Bongo Plankton Nets during three NSF RAPID Plankton cruises and one NOAA Plankton cruise. RAPID Plankton Cruise 1 took place on R/V Point Sur, cruise number PS1813, from October 28-November 3, 2017. RAPID Plankton Cruise 2 took place on R/V Pelican, cruise number PE18-18, from January 6- 12, 2018. RAPID Plankton Cruise 3 took place on R/V Pelican, cruise number PE18-21, from March 19- 23, 2018. The NOAA Plankton cruise took place on R/V Gordon Gunter, cruise number GU17-04, from September 04-30, 2017. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/829115
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1760674
    Description: 2021-08-31
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 10
    Publication Date: 2022-05-26
    Description: Dataset: Ichthyoplankton Density - Neuston
    Description: This dataset includes ichthyoplankton density and plankton displacement volume data collected using NOAA SEAMAP Neuston Plankton Nets during three NSF RAPID Plankton cruises. RAPID Plankton Cruise 1 took place on R/V Point Sur, cruise number PS1813, from October 28-November 3, 2017. RAPID Plankton Cruise 2 took place on R/V Pelican, cruise number PE18-18, from January 6- 12, 2018. RAPID Plankton Cruise 3 took place on R/V Pelican, cruise number PE18-21, from March 19- 23, 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/829239
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1760674
    Description: 2021-08-31
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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