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WeightNameValue
1000 Titel
  • Population-specific responses in physiological rates of Emiliania huxleyi to a broad CO2 range
1000 Autor/in
  1. Zhang, Yong |
  2. Bach, Lennart |
  3. Lohbeck, Kai |
  4. Schulz, Kai |
  5. Listmann, Luisa |
  6. Klapper, Regina |
  7. Riebesell, Ulf |
1000 Erscheinungsjahr 2018
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2018-06-19
1000 Erschienen in
1000 Quellenangabe
  • 15(12):3691–3701
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2018
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.5194/bg-15-3691-2018 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Although coccolithophore physiological responses to CO2-induced changes in seawater carbonate chemistry have been widely studied in the past, there is limited knowledge on the variability of physiological responses between populations from different areas. In the present study, we investigated the specific responses of growth, particulate organic (POC) and inorganic carbon (PIC) production rates of three populations of the coccolithophore Emiliania huxleyi from three regions in the North Atlantic Ocean (Azores: six strains, Canary Islands: five strains, and Norwegian coast near Bergen: six strains) to a CO2 partial pressure (pCO2) range from 120 to 2630 µatm. Physiological rates of each population and individual strain increased with rising pCO2 levels, reached a maximum and declined thereafter. Optimal pCO2 for growth, POC production rates, and tolerance to low pH (i.e., high proton concentration) was significantly higher in an E. huxleyi population isolated from the Norwegian coast than in those isolated near the Azores and Canary Islands. This may be due to the large environmental variability including large pCO2 and pH fluctuations in coastal waters off Bergen compared to the rather stable oceanic conditions at the other two sites. Maximum growth and POC production rates of the Azores and Bergen populations were similar and significantly higher than that of the Canary Islands population. This pattern could be driven by temperature–CO2 interactions where the chosen incubation temperature (16 ∘C) was slightly below what strains isolated near the Canary Islands normally experience. Our results indicate adaptation of E. huxleyi to their local environmental conditions and the existence of distinct E. huxleyi populations. Within each population, different growth, POC, and PIC production rates at different pCO2 levels indicated strain-specific phenotypic plasticity. Accounting for this variability is important to understand how or whether E. huxleyi might adapt to rising CO2 levels.
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/WmhhbmcsIFlvbmc=|https://orcid.org/0000-0003-0202-3671|https://orcid.org/0000-0003-3421-7112|https://orcid.org/0000-0002-8481-4639|https://frl.publisso.de/adhoc/uri/TGlzdG1hbm4sIEx1aXNh|https://frl.publisso.de/adhoc/uri/S2xhcHBlciwgUmVnaW5h|https://orcid.org/0000-0002-9442-452X
1000 Label
1000 Förderer
  1. Bundesministerium für Bildung und Forschung |
  2. Australian Research Council |
  3. China Postdoctoral Science Foundation |
  4. State Key Laboratory of Marine Environmental Science |
1000 Fördernummer
  1. -
  2. FT120100384
  3. 2017M612129
  4. -
1000 Förderprogramm
  1. Biological Impacts of Ocean Acidification (BIOACID)
  2. Future Fellowship
  3. -
  4. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm Biological Impacts of Ocean Acidification (BIOACID)
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Australian Research Council |
    1000 Förderprogramm Future Fellowship
    1000 Fördernummer FT120100384
  3. 1000 joinedFunding-child
    1000 Förderer China Postdoctoral Science Foundation |
    1000 Förderprogramm -
    1000 Fördernummer 2017M612129
  4. 1000 joinedFunding-child
    1000 Förderer State Key Laboratory of Marine Environmental Science |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6424678.rdf
1000 Erstellt am 2020-12-09T14:54:32.442+0100
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1000 Bearbeitet von 122
1000 Zuletzt bearbeitet 2021-02-11T08:46:43.182+0100
1000 Objekt bearb. Thu Feb 11 08:31:44 CET 2021
1000 Vgl. frl:6424678
1000 Oai Id
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