Citation:

16-127.1

Name: Seawater carbonate chemistry and photosynthetic performance of Thalassiosira (Conticribra) weissflogii (Bacillariophyta)
Published: 2018-04-24
License: https://creativecommons.org/licenses/by/3.0/
Keywords: Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (<20 L); Chromista; Growth/Morphology; Laboratory experiment; Laboratory strains; Macro-nutrients; Not applicable; Ochrophyta; Pelagos; Phytoplankton; Primary production/Photosynthesis; Single species; Thalassiosira weissflogii

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Abstract:

The purpose of this study was to investigate the effects of ocean acidification and nutrient level on the growth and photosynthetic performance of the diatom Thalassiosira (Conticribra) weissflogii. Cells were exposed to varying levels of CO2 [current CO2 (LC), 400 μatm; high CO2 (HC), 1000 μatm] and nutrients, with NO3− and PO43− concentrations enriched, respectively, at 50 μmol/l and 5 μmol/l [high nutrient (HN)], 20 μmol/l and 2 μmol/l [mid-level nutrient (MN)] and 10 μmol/l and 1 μmol/l [low nutrient (LN)]. After acclimatization for over 20 generations, no significant differences in growth rates were observed between LC and HC cultures under both HN and LN conditions; whereas, HC significantly reduced the growth rate under MN conditions. Lower nutrient loading significantly inhibited the growth rates of both LC and HC cultures; whereas, HC (but not LC) significantly decreased chlorophyll a and carotenoid contents in LN treatments. HC conditions significantly increased maximum relative electron transport rates (rETRmax) and saturating light intensity (Ik) of HN cultures, with rETRmax showing a positive relationship with growth rates stimulated by nutrient enrichments. The maximum (Fv/Fm) and effective quantum yield (Yield) were all inhibited under LN conditions, with the greatest reduction in Yield observed under LC conditions, corresponding to the highest nonphotochemical quenching, lowest light use efficiency (α) and lowest rETRmax. Based on these results, ocean acidification and nutrient availability may influence photosynthetic performance in T. weissflogii individually or interactively, with the future growth of marine diatoms mediated by these codependent environmental drivers.

Keyword(s):

Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (<20 L); Chromista; Growth/Morphology; Laboratory experiment; Laboratory strains; Macro-nutrients; Not applicable; Ochrophyta; Pelagos; Phytoplankton; Primary production/Photosynthesis; Single species; Thalassiosira weissflogii

Further details:

Gattuso, Jean-Pierre; Epitalon, Jean-Marie; Lavigne, Héloïse; Orr, James C; Gentili, Bernard; Proye, Aurélien; Soetaert, Karline; Rae, James (2016): seacarb: seawater carbonate chemistry with R. R package version 3.1. https://cran.r-project.org/package=seacarb

Project(s):

Ocean Acidification International Coordination Centre (OA-ICC)

Comment:

In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2016) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2018-04-11.

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Method/Device	Comment
1	Type	Type		Xu, Juntian		study
2	Species	Species		Xu, Juntian
3	Registration number of species	Reg spec no		Xu, Juntian
4	Uniform resource locator/link to reference	URL ref		Xu, Juntian		WoRMS Aphia ID
5	Figure	Fig		Xu, Juntian
6	Treatment	Treat		Xu, Juntian
7	Growth rate	µ	1/day	Xu, Juntian
8	Growth rate, standard deviation	µ std dev	±	Xu, Juntian
9	Chlorophyll a per cell	Chl a/cell	pg/#	Xu, Juntian
10	Chlorophyll a, standard deviation	Chl a std dev	±	Xu, Juntian
11	Carotenoids per cell	Carotenoids/cell	pg/#	Xu, Juntian
12	Carotenoids, standard deviation	Carotenoids std dev	±	Xu, Juntian
13	Carotenoids/Chlorophyll a ratio	Carotenoids/Chl a		Xu, Juntian
14	Carotenoids/Chlorophyll a ratio, standard deviation	Carotenoids/Chl a std dev	±	Xu, Juntian
15	Maximum photochemical quantum yield of photosystem II	Fv/Fm		Xu, Juntian
16	Maximum photochemical quantum yield of photosystem II, standard deviation	Fv/Fm std dev	±	Xu, Juntian
17	Effective quantum yield	Y		Xu, Juntian
18	Effective quantum yield, standard deviation	Y std dev	±	Xu, Juntian
19	Non photochemical quenching	NPQ		Xu, Juntian
20	Non photochemical quenching, standard deviation	NPQ std dev	±	Xu, Juntian
21	Irradiance	E	µmol/m²/s	Xu, Juntian
22	Electron transport rate, relative	rETR	µmol e/m²/s	Xu, Juntian
23	Electron transport rate, relative, standard deviation	rETR std dev	±	Xu, Juntian
24	Maximal electron transport rate, relative	rETR max	µmol e/m²/s	Xu, Juntian
25	Electron transport rate, relative, standard deviation	rETR std dev	±	Xu, Juntian
26	Photosynthetic efficiency	FV/FM		Xu, Juntian
27	Photosynthetic efficiency, standard deviation	alpha std dev	±	Xu, Juntian
28	Light saturation point	Ik	µmol/m²/s	Xu, Juntian
29	Light saturation point, standard deviation	Ik std dev	±	Xu, Juntian
30	Salinity	Sal		Xu, Juntian
31	Temperature, water	Temp	°C	Xu, Juntian
32	Silicate	Si(OH)4	µmol/l	Xu, Juntian
33	Nitrate	[NO3]-	µmol/l	Xu, Juntian
34	Phosphate	[PO4]3-	µmol/l	Xu, Juntian
35	pH	pH		Xu, Juntian	Potentiometric	NBS scale
36	pH, standard deviation	pH std dev	±	Xu, Juntian	Potentiometric	NBS scale
37	Partial pressure of carbon dioxide (water) at sea surface temperature (wet air)	pCO2water_SST_wet	µatm	Xu, Juntian
38	Partial pressure of carbon dioxide, standard deviation	pCO2 std dev	±	Xu, Juntian
39	Alkalinity, total	AT	µmol/kg	Xu, Juntian	Calculated using CO2SYS
40	Alkalinity, total, standard deviation	AT std dev	±	Xu, Juntian	Calculated using CO2SYS
41	Carbon, inorganic, dissolved	DIC	µmol/kg	Xu, Juntian	Calculated using CO2SYS
42	Carbon, inorganic, dissolved, standard deviation	DIC std dev	±	Xu, Juntian	Calculated using CO2SYS
43	Bicarbonate ion	[HCO3]-	µmol/kg	Xu, Juntian	Calculated using CO2SYS
44	Bicarbonate ion, standard deviation	[HCO3]- std dev	±	Xu, Juntian	Calculated using CO2SYS
45	Carbonate ion	[CO3]2-	µmol/kg	Xu, Juntian	Calculated using CO2SYS
46	Carbonate ion, standard deviation	[CO3]2- std dev	±	Xu, Juntian	Calculated using CO2SYS
47	Carbon dioxide	CO2	µmol/kg	Xu, Juntian	Calculated using CO2SYS
48	Carbon dioxide, standard deviation	CO2 std dev	±	Xu, Juntian	Calculated using CO2SYS
49	Carbonate system computation flag	CSC flag		Yang, Yan	Calculated using seacarb after Nisumaa et al. (2010)
50	pH	pH		Yang, Yan	Calculated using seacarb after Nisumaa et al. (2010)	total scale
51	Carbon dioxide	CO2	µmol/kg	Yang, Yan	Calculated using seacarb after Nisumaa et al. (2010)
52	Fugacity of carbon dioxide (water) at sea surface temperature (wet air)	fCO2water_SST_wet	µatm	Yang, Yan	Calculated using seacarb after Nisumaa et al. (2010)
53	Partial pressure of carbon dioxide (water) at sea surface temperature (wet air)	pCO2water_SST_wet	µatm	Yang, Yan	Calculated using seacarb after Nisumaa et al. (2010)
54	Bicarbonate ion	[HCO3]-	µmol/kg	Yang, Yan	Calculated using seacarb after Nisumaa et al. (2010)
55	Carbonate ion	[CO3]2-	µmol/kg	Yang, Yan	Calculated using seacarb after Nisumaa et al. (2010)
56	Carbon, inorganic, dissolved	DIC	µmol/kg	Yang, Yan	Calculated using seacarb after Nisumaa et al. (2010)
57	Alkalinity, total	AT	µmol/kg	Yang, Yan	Calculated using seacarb after Nisumaa et al. (2010)
58	Aragonite saturation state	Omega Arg		Yang, Yan	Calculated using seacarb after Nisumaa et al. (2010)
59	Calcite saturation state	Omega Cal		Yang, Yan	Calculated using seacarb after Nisumaa et al. (2010)

License:

Creative Commons Attribution 3.0 Unported (CC-BY-3.0)

Status:

Curation Level: Enhanced curation (CurationLevelC)

Size:

2910 data points

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