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  • 2015-2019  (27)
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  • 1
    Online Resource
    Online Resource
    Milton :Taylor & Francis Group,
    Keywords: Aquatic ecology-Climatic factors. ; Electronic books.
    Description / Table of Contents: Global climate change affects productivity and species composition of freshwater and marine aquatic ecosystems by raising temperatures and ocean acidification. Bacterioplankton and viruses, phytoplankton, macroalgae have consequences for primary consumers such as zooplankton, invertebrates and vertebrates.
    Type of Medium: Online Resource
    Pages: 1 online resource (325 pages)
    Edition: 1st ed.
    ISBN: 9780429790058
    DDC: 577.6
    Language: English
    Note: Cover -- Title -- Copyright -- Preface -- Contents -- Chapter 1. Introduction Donat-P. Häder and Kunshan Gao -- Chapter 2. Solar UV Radiation and Penetration into Water Uwe Feister and Donat-P. Häder -- Chapter 3. Ocean Climate Changes Donat-P. Häder and Kunshan Gao -- Chapter 4. Effects of Global Climate Change on Cyanobacteria Jainendra Pathak, Haseen Ahmed, Rajneesh, Shailendra P. Singh, Donat-P. Häder and Rajeshwar P. Sinha -- Chapter 5. Phytoplankton Responses to Ocean Climate Change Drivers Interaction of Ocean Warming, Ocean Acidification and UV Exposure Donat-P. Häder and Kunshan Gao -- Chapter 6. Are Warmer Waters, Brighter Waters?: An Examination of the Irradiance Environment of Lakes and Oceans in a Changing Climate Patrick Neale and Robyn Smyth -- Chapter 7. Effects of Global Change on Aquatic Lower Trophic Levels of Coastal South West Atlantic Ocean Environments Macarena S. Valiñas, Virginia E. Villafañe and E. Walter Helbling -- Chapter 8. Effects of Climate Change on Corals Donat-P. Häder -- Chapter 9. Responses of Calcifying Algae to Ocean Acidification Kai Xu and Kunshan Gao -- Chapter 10. Effects of a Changing Climate on Freshwater and Marine Zooplankton Craig E. Williamson and Erin P. Overholt -- Chapter 11. UV-B Radiation and the Green Tide-forming Macroalga Ulva Jihae Park, Murray T. Brown, Hojun Lee, Christophe Vieira, Lalit K. Pandey, Eunmi Choi, Stephen Depuydt, Donat-P. Häder and Taejun Han -- Chapter 12. Mid-Latitude Macroalgae Donat-P. Häder -- Chapter 13. Polar Macroalgae Donat-P. Häder -- Chapter 14. Effects of Climate Change on Aquatic Bryophytes Javier Martínez-Abaigar and Encarnación Núñez-Olivera -- Chapter 15. Ecophysiological Responses of Mollusks to Oceanic Acidification Ting Wang and Youji Wang -- Chapter 16. Climate Change Effects on the Physiology and Ecology of Fish Wang Xiaojie -- Index.
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  • 2
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    In:  Supplement to: Zheng, Y; Giordano, Mario; Gao, Kunshan (2015): Photochemical responses of the diatom Skeletonema costatum grown under elevated CO2 concentrations to short-term changes in pH. Aquatic Biology, 23(2), 109-118, https://doi.org/10.3354/ab00619
    Publication Date: 2024-03-15
    Description: Variability in pH is a common occurrence in many aquatic environments, due to physical, chemical and biological processes. In coastal waters, lagoons, estuaries and inland waters, pH can change very rapidly (within seconds or hours) in addition to daily and seasonal changes. At the same time, progressive ocean acidification caused by anthropogenic CO2 emissions is superimposed on these spatial and temporal pH changes. Photosynthetic organisms are therefore unavoidably subject to significant pH variations at the cell surface. Whether this will affect their response to long-term ocean acidification is still unknown, nor is it known whether the short-term sensitivity to pH change is affected by the pCO2 to which the cells are acclimated. We posed the latter open question as our experimental hypothesis: Does acclimation to seawater acidification affect the response of phytoplankton to acute pH variations? The diatom Skeletonema costatum, commonly found in coastal and estuarine waters where short-term acute changes in pH frequently occur, was selected to test the hypothesis. Diatoms were grown at both 390 (pH 8.2, low CO2; LC) and 1000 (pH 7.9, high CO2; HC) µatm CO2 for at least 20 generations, and photosynthetic responses to short-term and acute changes in pH (between 8.2 and 7.6) were investigated. The effective quantum yield of LC-grown cells decreased by ca. 70% only when exposed to pH 7.6; this was not observed when exposed to pH 7.9 or 8.2. HC-grown cells did not show significant responses in any pH treatment. Non-photochemical quenching showed opposite trends. In general, our results indicate that while LC-grown cells are rather sensitive to acidification, HC-grown cells are relatively unresponsive in terms of photochemical performance.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Bicarbonate ion; Bicarbonate ion, standard deviation; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; 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; Carbon dioxide, standard deviation; Chromista; Coulometric titration; Effective quantum yield; Effective quantum yield, standard deviation; Electron transport rate, relative; Electron transport rate, relative, standard deviation; Figure; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Initial slope of rapid light curve; Initial slope of rapid light curve, standard deviation; Irradiance; Laboratory experiment; Laboratory strains; Maximum photochemical quantum yield of photosystem II; Maximum photochemical quantum yield of photosystem II, standard deviation; Non photochemical quenching; Non photochemical quenching, standard deviation; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Ochrophyta; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Phytoplankton; Potentiometric; Primary production/Photosynthesis; Salinity; Single species; Skeletonema costatum; Species; Temperature, water; Time in minutes; Time point, descriptive; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 36048 data points
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  • 3
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    In:  Supplement to: Zheng, Ying; Giordano, Mario; Gao, Kunshan (2015): The impact of fluctuating light on the dinoflagellate Prorocentrum micans depends on NO3- and CO2 availability. Journal of Plant Physiology, 180, 18-26, https://doi.org/10.1016/j.jplph.2015.01.020
    Publication Date: 2024-03-15
    Description: Increasing atmospheric pCO2 and its dissolution into oceans leads to ocean acidification and warming, which reduces the thickness of upper mixing layer (UML) and upward nutrient supply from deeper layers. These events may alter the nutritional conditions and the light regime to which primary producers are exposed in the UML. In order to better understand the physiology behind the responses to the concomitant climate changes factors, we examined the impact of light fluctuation on the dinoflagellate Prorocentrum micans grown at low (1 µmol/L) or high (800 µmol/L) [NO3(-)] and at high (1000 µatm) or low (390 µatm, ambient) pCO2. The light regimes to which the algal cells were subjected were (1) constant light at a photon flux density (PFD) of either 100 (C100) or 500 (C500) µmol/m**2/s or (2) fluctuating light between 100 or 500 µmol photons/m**2/s with a frequency of either 15 (F15) or 60 (F60) min. Under continuous light, the initial portion of the light phase required the concomitant presence of high CO2 and NO3(-) concentrations for maximum growth. After exposure to light for 3h, high CO2 exerted a negative effect on growth and effective quantum yield of photosystem II (F'(v)/F'(m)). Fluctuating light ameliorated growth in the first period of illumination. In the second 3h of treatment, higher frequency (F15) of fluctuations afforded high growth rates, whereas the F60 treatment had detrimental consequences, especially when NO3(-) concentration was lower. F'(v)/F'(m) respondent differently from growth to fluctuating light: the fluorescence yield was always lower than at continuous light at 100 µmol/m**2/s, and always higher at 500 µmol/m**2/s. Our data show that the impact of atmospheric pCO2 increase on primary production of dinoflagellate depends on the availability of nitrate and the irradiance (intensity and the frequency of irradiance fluctuations) to which the cells are exposed. The impact of global change on oceanic primary producers would therefore be different in waters with different chemical and physical (mixing) properties.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Bicarbonate ion; Bicarbonate ion, standard deviation; 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; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Carotenoids, standard deviation; Carotenoids per cell; Cell density; Cell density, standard deviation; Chlorophyll a, standard deviation; Chlorophyll a per cell; Chromista; Coulometric titration; Effective quantum yield; Effective quantum yield, standard deviation; Figure; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Growth rate, standard deviation; Laboratory experiment; Laboratory strains; Light mode; Mycosporine-like amino acid, per cell; Mycosporine-like amino acid, standard deviation; Myzozoa; North Pacific; 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; Phytoplankton; Potentiometric; Primary production/Photosynthesis; Prorocentrum micans; Ratio; Ratio, standard deviation; Salinity; Single species; Species; Temperature, water; Time in hours; Time in minutes; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 48164 data points
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  • 4
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    In:  Supplement to: Gao, Guang; Jin, Peng; Liu, Nana; Li, Futian; Tong, Shanying; Hutchins, David A; Gao, Kunshan (2017): The acclimation process of phytoplankton biomass, carbon fixation and respiration to the combined effects of elevated temperature and p CO 2 in the northern South China Sea. Marine Pollution Bulletin, 118(1-2), 213-220, https://doi.org/10.1016/j.marpolbul.2017.02.063
    Publication Date: 2024-03-15
    Description: We conducted shipboard microcosm experiments at both off-shore (SEATS) and near-shore (D001) stations in the northern South China Sea (NSCS) under three treatments, low temperature and low pCO2 (LTLC), high temperature and low pCO2 (HTLC), and high temperature and high pCO2 (HTHC). Biomass of phytoplankton at both stations were enhanced by HT. HTHC did not affect phytoplankton biomass at station D001 but decreased it at station SEATS. HT alone increased net primary productivity by 234% at station SEATS and by 67% at station D001 but the stimulating effect disappeared when HC was combined. HT also increased respiration rate by 236% at station SEATS and by 87% at station D001 whereas HTHC reduced it by 61% at station SEATS and did not affect it at station D001. Overall, our findings indicate that the positive effect of ocean warming on phytoplankton assemblages in NSCS could be damped or offset by ocean acidification.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Bicarbonate ion; Bicarbonate ion, standard deviation; Calcite saturation state; 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; Carbon dioxide, standard deviation; Chlorophyll a; Chlorophyll a, standard deviation; Coast and continental shelf; Containers and aquaria (20-1000 L or 〈 1 m**2); D001; Entire community; Event label; EXP; Experiment; Experiment duration; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Laboratory experiment; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Open ocean; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Potentiometric; Primary production/Photosynthesis; Primary production of carbon; Primary production of carbon, standard deviation; Primary production of carbon per chlorophyll a; Respiration; Respiration/net photosynthesis ratio; Respiration/net photosynthesis ratio, standard deviation; Respiration rate, carbon; Respiration rate, carbon, per chlorophyll a; Respiration rate, carbon dioxide, standard deviation; Salinity; SEATS; Station label; Temperature; Temperature, water; Temperature, water, standard deviation; Treatment; Tropical; Type
    Type: Dataset
    Format: text/tab-separated-values, 316 data points
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  • 5
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    In:  Supplement to: Li, Wei; Han, Guodong; Dong, Yunwei; Ishimatsu, Atsushi; Russell, Bayden D; Gao, Kunshan (2015): Combined effects of short-term ocean acidification and heat shock in a benthic copepod Tigriopus japonicus Mori. Marine Biology, 162(9), 1901-1912, https://doi.org/10.1007/s00227-015-2722-9
    Publication Date: 2024-03-15
    Description: Warming of the world's oceans is predicted to have many negative effects on organisms as they have optimal thermal windows. In coastal waters, however, both temperatures and pCO2 (pH) exhibit diel variations, and biological performances are likely to be modulated by physical and chemical environmental changes. To understand how coastal zooplankton respond to the combined impacts of heat shock and increased pCO2, the benthic copepod Tigriopus japonicus were treated at temperatures of 24, 28, 32 and 36 °C to simulate natural coastal temperatures experienced in warming events, when acclimated in the short term to either ambient (LC, 390 µatm) or future CO2 (HC, 1000 µatm). HC and heat shock did not induce any mortality of T. japonicus, though respiration increased up to 32 °C before being depressed at 36 °C. Feeding rate peaked at 28 °C but did not differ between CO2 treatments. Expression of heat shock proteins (hsps mRNA) was positively related to temperature, with no significant differences between the CO2 concentrations. Nauplii production was not affected across all treatments. Our results demonstrate that T. japonicus responds more sensitively to heat shocks rather than to seawater acidification; however, ocean acidification may synergistically act with ocean warming to mediate the energy allocation of copepods.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Arthropoda; Behaviour; Bicarbonate ion; Bicarbonate ion, standard deviation; Calcite saturation state; 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; Carbon dioxide, standard deviation; Coast and continental shelf; Containers and aquaria (20-1000 L or 〈 1 m**2); EXP; Experiment; Factor quantifying temperature dependent change of rates of processes; Factor quantifying temperature dependent change of rates of processes, standard deviation; Feeding rate, standard deviation; Feeding rate of cells per individuum; Filtering rate; Filtering rate, standard deviation; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Laboratory experiment; North Pacific; 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; Potentiometric; Registration number of species; Respiration; Respiration rate, oxygen, per individual; Respiration rate, oxygen, standard deviation; Salinity; Single species; Species; Temperate; Temperature; Temperature, water; Tigriopus japonicus; Treatment; Type; Uniform resource locator/link to reference; Xiamen_Bay; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 714 data points
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  • 6
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    In:  Supplement to: Jin, Peng; Wang, Tifeng; Liu, Nana; Dupont, Sam; Beardall, John; Boyd, Philip W; Riebesell, Ulf; Gao, Kunshan (2015): Ocean acidification increases the accumulation of toxic phenolic compounds across trophic levels. Nature Communications, 6, 8714, https://doi.org/10.1038/ncomms9714
    Publication Date: 2024-03-15
    Description: Increasing atmospheric CO2 concentrations are causing ocean acidification (OA), altering carbonate chemistry with consequences for marine organisms. Here we show that OA increases by 46-212% the production of phenolic compounds in phytoplankton grown under the elevated CO2 concentrations projected for the end of this century, compared with the ambient CO2 level. At the same time, mitochondrial respiration rate is enhanced under elevated CO2 concentrations by 130-160% in a single species or mixed phytoplankton assemblage. When fed with phytoplankton cells grown under OA, zooplankton assemblages have significantly higher phenolic compound content, by about 28-48%. The functional consequences of the increased accumulation of toxic phenolic compounds in primary and secondary producers have the potential to have profound consequences for marine ecosystem and seafood quality, with the possibility that fishery industries could be influenced as a result of progressive ocean changes.
    Keywords: Alkalinity, total; Aragonite saturation state; Bicarbonate ion; 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; Chromista; Emiliania huxleyi; EXP; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Haptophyta; Immunology/Self-protection; Laboratory experiment; Laboratory strains; Mesocosm or benthocosm; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phenolics, all; Phenolics, all, per individual; Phytoplankton; Potentiometric; Registration number of species; Replicate; Respiration; Respiration rate, oxygen, per cell; Salinity; Single species; Species; Temperature, water; Treatment; Type; Uniform resource locator/link to reference; Wuyuan_Bay
    Type: Dataset
    Format: text/tab-separated-values, 1434 data points
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  • 7
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    In:  Supplement to: Liu, Nana; Beardall, John; Gao, Kunshan (2017): Elevated CO2 and associated seawater chemistry do not benefit a model diatom grown with increased availability of light. Aquatic Microbial Ecology, 79(2), 137-147, https://doi.org/10.3354/ame01820
    Publication Date: 2024-03-15
    Description: Elevated CO2 is leading to a decrease in pH in marine environments (ocean acidification [OA]), altering marine carbonate chemistry. OA can influence the metabolism of many marine organisms; however, no consensus has been reached on its effects on algal photosynthetic carbon fixation and primary production. Here, we found that when the diatom Phaeodactylum tricornutum was grown under different pCO2 levels, it showed different responses to elevated pCO2 levels under growth-limiting (20 µmol photons/m**2/s, LL) compared with growth-saturating (200 µmol photons/m**2/s, HL) light levels. With pCO2 increased up to 950 µatm, growth rates and primary productivity increased, but in the HL cells, these parameters decreased significantly at higher concentrations up to 5000 µatm, while no difference in growth was observed with pCO2 for the LL cells. Elevated CO2 concentrations reduced the size of the intracellular dissolved inorganic carbon (DIC) pool by 81% and 60% under the LL and HL levels, respectively, with the corresponding photosynthetic affinity for DIC decreasing by 48% and 55%. Little photoinhibition was observed across all treatments. These results suggest that the decreased growth rates under higher CO2 levels in the HL cells were most likely due to acid stress. Low energy demand of growth and energy saving from the down-regulation of the CO2 concentrating mechanisms (CCM) minimized the effects of acid stress on the growth of the LL cells. These findings imply that OA treatment, except for down-regulating CCM, caused stress on the diatom, reflected in diminished C assimilation and growth rates.
    Keywords: Alkalinity, total; Aragonite saturation state; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, intracellular pool; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chromista; Cumulative carbon fixation per cell; Effective quantum yield; Factor; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Identification; Initial slope of photosynthesis/dissolved inorganic carbon; Laboratory experiment; Laboratory strains; Light; Light capturing capacity; Light saturated maximum photosynthetic rate per cell; Light saturation point; Maximal electron transport rate, relative; Maximum photochemical quantum yield of photosystem II; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phaeodactylum tricornutum; Phytoplankton; Primary production/Photosynthesis; Registration number of species; Salinity; Single species; Species; Temperature, water; Time in seconds; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 6177 data points
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  • 8
    Publication Date: 2024-03-15
    Description: Coccolithophores are important oceanic primary producers not only in terms of photosynthesis but also because they produce calcite plates called coccoliths. Ongoing ocean acidification associated with changing seawater carbonate chemistry may impair calcification and other metabolic functions in coccolithophores. While short‐term ocean acidification effects on calcification and other properties have been examined in a variety of coccolithophore species, long‐term adaptive responses have scarcely been documented, other than for the single species Emiliania huxleyi . Here, we investigated the effects of ocean acidification on another ecologically important coccolithophore species, Gephyrocapsa oceanica, following 1,000 generations of growth under elevated CO2 conditions (1,000 μatm). High CO2‐selected populations exhibited reduced growth rates and enhanced particulate organic carbon (POC ) and nitrogen (PON ) production, relative to populations selected under ambient CO2 (400 μatm). Particulate inorganic carbon (PIC ) and PIC /POC ratios decreased progressively throughout the selection period in high CO2‐selected cell lines. All of these trait changes persisted when high CO2‐grown populations were moved back to ambient CO2 conditions for about 10 generations. The results suggest that the calcification of some coccolithophores may be more heavily impaired by ocean acidification than previously predicted based on short‐term studies, with potentially large implications for the ocean's carbon cycle under accelerating anthropogenic influences.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Bicarbonate ion; Bicarbonate ion, standard deviation; 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; Carbon, inorganic, dissolved, standard deviation; Carbon, inorganic, particulate, per cell; Carbon, organic, particulate, per cell; Carbon/Nitrogen ratio; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Chromista; Day of experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gephyrocapsa oceanica; Growth/Morphology; Growth rate; Haptophyta; Laboratory experiment; Laboratory strains; Nitrogen, organic, particulate, per cell; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate inorganic carbon/particulate organic carbon ratio; pH; pH, standard deviation; Phytoplankton; Potentiometric; Registration number of species; Replicate; Salinity; Single species; Species; Temperature, water; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 12720 data points
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  • 9
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    PANGAEA
    In:  Supplement to: Li, Futian; Beardall, John; Collins, Sinéad; Gao, Kunshan (2016): Decreased photosynthesis and growth with reduced respiration in the model diatom Phaeodactylum tricornutum grown under elevated CO2 over 1800 generations. Global Change Biology, https://doi.org/10.1111/gcb.13501
    Publication Date: 2024-03-15
    Description: Studies on the long-term responses of marine phytoplankton to ongoing ocean acidification (OA) are appearing rapidly in the literature. However, only a few of these have investigated diatoms, which is disproportionate to their contribution to global primary production. Here we show that a population of the model diatom Phaeodactylum tricornutum, after growing under elevated CO2 (1000 matm, HCL, pHT: 7.70) for 1860 generations, showed significant differences in photosynthesis and growth from a population maintained in ambient CO2 and then transferred to elevated CO2 for 20 generations (HC). The HCL population had lower mitochondrial respiration, than did the control population maintained in ambient CO2 (400 matm, LCL, pHT: 8.02) for 1860 generations. Although the cells had higher respiratory carbon loss within 20 generations under the elevated CO2, being consistent to previous findings, they down-regulated their respiration to sustain their growth in longer duration under the OA condition. Responses of phytoplankton to OA may depend on the timescale for which they are exposed due to fluctuations in physiological traits over time. This study provides the first evidence that populations of the model species, P. tricornutum, differ phenotypically from each other after having been grown for differing spans of time under OA conditions, suggesting that long-term changes should be measured to understand responses of primary producers to OA, especially in waters with diatom-dominated phytoplankton assemblages.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Bicarbonate ion; Bicarbonate ion, standard deviation; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; 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; Carbon dioxide, standard deviation; Carotenoids, standard deviation; Carotenoids per cell; Cell size; Cell size, standard deviation; Chlorophyll a, standard deviation; Chlorophyll a per cell; Chromista; Effective photochemical quantum yield; Effective photochemical quantum yield, standard deviation; Electron transport rate efficiency; Electron transport rate efficiency, standard deviation; Figure; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Growth rate, standard deviation; Laboratory experiment; Laboratory strains; Light saturation point; Light saturation point, standard deviation; Maximal electron transport rate, relative; Maximal electron transport rate, relative, standard deviation; Maximum photochemical quantum yield of photosystem II; Maximum photochemical quantum yield of photosystem II, standard deviation; Net photosynthesis rate, oxygen, per cell; Net photosynthesis rate, oxygen, per chlorophyll a; Net photosynthesis rate, standard deviation; Non photochemical quenching; Non photochemical quenching, standard deviation; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Ochrophyta; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Phaeodactylum tricornutum; Phytoplankton; Primary production/Photosynthesis; Ratio; Ratio, standard deviation; Registration number of species; Relative photoinhibition ratio; Relative photoinhibition ratio, standard deviation; Respiration; Respiration rate, oxygen, per cell; Respiration rate, oxygen, per chlorophyll a; Respiration rate, oxygen, standard deviation; Salinity; Single species; Species; Temperature, water; Time in days; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 1247 data points
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  • 10
    Publication Date: 2024-03-15
    Keywords: Alkalinity, total; Aragonite saturation state; Bicarbonate ion; Biogenic silica, per cell; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon/Nitrogen ratio; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Cell size; Chlorophyll a per cell; Chromista; Effective photochemical quantum yield; Electron transport rate of photosystem II; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Irradiance; Laboratory experiment; Laboratory strains; Light; Light saturation point; Macro-nutrients; Maximal electron transport rate, relative; Maximum photochemical quantum yield of photosystem II; Nitrate; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Ochrophyta; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate organic carbon, per cell; Particulate organic nitrogen per cell; Pelagos; pH; Photosynthetic carbon fixation rate, per cell; Phytoplankton; Primary production/Photosynthesis; Registration number of species; Replicate; Respiration rate, oxygen, per cell; Salinity; Silicon/Carbon, molar ratio; Single species; Slope to saturation of photocenters; Species; Temperature, water; Thalassiosira pseudonana; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 8424 data points
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