Temporal biomass dynamics of an Arctic plankton bloom


Autoria(s): Schulz, Kai Georg; Bellerby, Richard GJ; Brussaard, Corina; Büdenbender, Jan; Czerny, Jan; Engel, Anja; Fischer, Matthias; Koch-Klavsen, Stephanie; Krug, Sebastian; Lischka, Silke; Ludwig, Andrea; Meyerhöfer, Michael; Nondal, G; Silyakova, Anna; Stuhr, A; Riebesell, Ulf
Data(s)

05/06/2013

Resumo

Ocean acidification and carbonation, driven by anthropogenic emissions of carbon dioxide (CO2), have been shown to affect a variety of marine organisms and are likely to change ecosystem functioning. High latitudes, especially the Arctic, will be the first to encounter profound changes in carbonate chemistry speciation at a large scale, namely the under-saturation of surface waters with respect to aragonite, a calcium carbonate polymorph produced by several organisms in this region. During a CO2 perturbation study in 2010, in the framework of the EU-funded project EPOCA, the temporal dynamics of a plankton bloom was followed in nine mesocosms, manipulated for CO2 levels ranging initially from about 185 to 1420 ?atm. Dissolved inorganic nutrients were added halfway through the experiment. Autotrophic biomass, as identified by chlorophyll a standing stocks (Chl a), peaked three times in all mesocosms. However, while absolute Chl a concentrations were similar in all mesocosms during the first phase of the experiment, higher autotrophic biomass was measured at high in comparison to low CO2 during the second phase, right after dissolved inorganic nutrient addition. This trend then reversed in the third phase. There were several statistically significant CO2 effects on a variety of parameters measured in certain phases, such as nutrient utilization, standing stocks of particulate organic matter, and phytoplankton species composition. Interestingly, CO2 effects developed slowly but steadily, becoming more and more statistically significant with time. The observed CO2 related shifts in nutrient flow into different phytoplankton groups (mainly diatoms, dinoflagellates, prasinophytes and haptophytes) could have consequences for future organic matter flow to higher trophic levels and export production, with consequences for ecosystem productivity and atmospheric CO2.

Formato

application/zip, 2 datasets

Identificador

https://doi.pangaea.de/10.1594/PANGAEA.815226

doi:10.1594/PANGAEA.815226

Idioma(s)

en

Publicador

PANGAEA

Relação

Schulz, Kai Georg (2010): EPOCA Svalbard 2010 mesocosm experiment: CTD profiles. doi:10.1594/PANGAEA.769828

Schulz, Kai Georg (2010): EPOCA Svalbard 2010 mesocosm experiment: Light intensity in mesocosms, fjord and pier. IFM-GEOMAR Leibniz-Institute of Marine Sciences, Kiel University, doi:10.1594/PANGAEA.770568

Svalbard 2010 team; Schulz, Kai Georg; Bellerby, Richard GJ; Nisumaa, Anne-Marin; Tanaka, Tsuneo; Motegi, Chiaki; Meyerhöfer, Michael; Brussaard, Corina; Hessen, Dag O; Czerny, Jan; Hopkins, Frances; Klavsen, Signe; Piontek, Judith; de Kluijver, Anna; Archer, Stephen; Silyakova, Anna; Engel, Anja; Boxhammer, Tim (2010): Svalbard 2010 team (2010): EPOCA Svalbard mesocosm experiment 2010 depth-integrated (0-12m) variables. doi:10.1594/PANGAEA.762307

Direitos

CC-BY: Creative Commons Attribution 3.0 Unported

Access constraints: unrestricted

Fonte

Supplement to: Schulz, Kai Georg; Bellerby, Richard GJ; Brussaard, Corina; Büdenbender, Jan; Czerny, Jan; Engel, Anja; Fischer, Matthias; Krug, Sebastian; Lischka, Silke; Koch-Klavsen, Stephanie; Ludwig, Andrea; Meyerhöfer, Michael; Nondal, G; Silyakova, Anna; Stuhr, A; Riebesell, Ulf (2013): Temporal biomass dynamics of an Arctic plankton bloom in response to increasing levels of atmospheric carbon dioxide. Biogeosciences, 10(1), 161-180, doi:10.5194/bg-10-161-2013

Palavras-Chave #autotrophic; autotrophic without Gyrodinium aureolum; BIOACID; Biological Impacts of Ocean Acidification; Chl a; Chl a Chlorophyta; Chl a Chrysophyta; Chl a Cryptophyta; Chl a Cyanob; Chl a diatoms; Chl a Dinofl; Chl a Haptophyta; Chl a Prasin; Chlorophycea; Chlorophyceae; Chlorophyll a; Chlorophyll a, Chlorophyta; Chlorophyll a, Chrysophyta; Chlorophyll a, Cryptophyta; Chlorophyll a, Cyanobacteria; Chlorophyll a, Diatoms; Chlorophyll a, Dinoflagellates; Chlorophyll a, Haptophyta; Chlorophyll a, Prasinophytes; Chrysophyceae; Chrysophyta, biomass; Chrysophyta, biovolume; Chrysophyta biom; Chrysophyta biovol; Chrysophytes w/o Ochromonas; Crypto biom; Crypto biovol; Cryptophyceae; Cryptophyta, biomass; Cryptophyta, biovolume; Cyanobacteria; Diatom C; Diatom cen biovol; Diatoms; Diatoms, biomass as carbon; Diatoms, centrales, biovolume; Dinofl; Dinoflagellates; Dinoflagellates, autotrophic, biomass as carbon; Dinoflagellates, biomass as carbon; Dinoflagellates, biovolume; Dinoflagellates, heterotrophic, biomass as carbon; Dinofl auto C; Dinofl biovol; Dinofl C; Exp day; Experimental treatment; Experiment day; Exp trtm; Flag biovol; Flagellates, biovolume; Fuco; Fucoxanthin; Fucoxanthin-group (Diatoms/Chrysophytes/Haptos); Green algae, biomass as carbon; Green algae, biovolume; Green algae biovol; Green algae C; Haptophyta; HDINO C; heterotrophic; High Performance Liquid Chromatography (HPLC); Microscopy; O. marina biom; O. marina biovol; Ochromonas marina, biomass; Ochromonas marina, biovolume; other heterotrophic and autotrophic dinoflagellates 3-5µm; other heterotrophic flagellates 3-5µm; Prasinophytes
Tipo

Dataset