Citation:

PANGAEA.941474

Name: Seawater carbonate chemistry and competition for growth, photosynthetic performance and biochemical composition in Neopyropia yezoensis and Ulva prolifera
Published: 2022-02-25
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Benthos; Bottles or small containers/Aquaria (<20 L); Chlorophyta; Coast and continental shelf; Growth/Morphology; Laboratory experiment; Macroalgae; Neopyropia yezoensis; North Pacific; Other studied parameter or process; Plantae; Primary production/Photosynthesis; Rhodophyta; Single species; Species interaction; Temperate; Ulva prolifera

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Published: 2022-02-25 • DOI registered: 2022-03-30

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Abstract:

The occurrence of various marine macroalgae in the same niche will inevitably lead to interspecific competition due to similar environmental requirements. With the increasing global atmospheric CO2 concentration, the resulting ocean acidification can potentially influence competition among macroalgae in the future. Neopyropia yezoensis (Rhodophyta, formerly Pyropia yezoensis) and the epiphytic alga Ulva prolifera (Chlorophyta) were selected for investigating competition among macroalgae grown under different CO2 conditions. The results showed that when cultured with U. prolifera, N. yezoensis' growth rate was significantly inhibited along with a sharp decrease in net photosynthetic rate. Although CO2 decreased the growth rate of N. yezoensis, it enhanced the resistance of the alga to the allelopathic effect of U. prolifera. While no difference was found between U. prolifera grown in monoculture and biculture, strong competitive ability was observed. CO2 could enhance this ability with higher net photosynthetic rate. However, CO2 significantly inhibited the carotenoid synthesis in both plants. This inhibition in N. yezoensis was more pronounced in the presence of U. prolifera. Biculture promoted the accumulation of soluble protein in N. yezoensis while it inhibited the process in U. prolifera. In addition, it enhanced the inhibitory effect of acidification on soluble carbohydrates of both plants. Elevated CO2 levels alleviated the competition between N. yezoensis and U. prolifera, but the latter can become the more competitive epiphytic alga which can impact the future of nori culture.

Keyword(s):

Benthos; Bottles or small containers/Aquaria (<20 L); Chlorophyta; Coast and continental shelf; Growth/Morphology; Laboratory experiment; Macroalgae; Neopyropia yezoensis; North Pacific; Other studied parameter or process; Plantae; Primary production/Photosynthesis; Rhodophyta; Single species; Species interaction; Temperate; Ulva prolifera

Supplement to:

Sun, Jingyi; Bao, Menglin; Xu, Tianpeng; Li, Futian; Wu, Hailong; Li, Xinshu; Xu, Juntian (2021): Elevated CO2 influences competition for growth, photosynthetic performance and biochemical composition in Neopyropia yezoensis and Ulva prolifera. Algal Research, 56, 102313, https://doi.org/10.1016/j.algal.2021.102313

Further details:

Gattuso, Jean-Pierre; Epitalon, Jean-Marie; Lavigne, Héloïse; Orr, James (2021): seacarb: seawater carbonate chemistry with R. R package version 3.2.16. https://cran.r-project.org/web/packages/seacarb/index.html

Project(s):

Ocean Acidification International Coordination Centre (OA-ICC)

Coverage:

Latitude: 34.500000 * Longitude: 119.300000

Date/Time Start: 2009-07-01T00:00:00 * Date/Time End: 2009-07-30T00:00:00

Event(s):

Lianyungang_OA * Latitude: 34.500000 * Longitude: 119.300000 * Date/Time Start: 2009-07-01T00:00:00 * Date/Time End: 2009-07-30T00:00:00 * Method/Device: Experiment (EXP)

Comment:

In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2021) 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 2022-2-24.

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		WoRMS Aphia ID
4	Uniform resource locator/link to reference	URL ref		Xu, Juntian
5	Experiment	Exp		Xu, Juntian		Cultrue
6	Treatment	Treat		Xu, Juntian
7	Growth rate	µ	%/day	Xu, Juntian
8	Growth rate, standard deviation	µ std dev	±	Xu, Juntian
9	Irradiance	E	µmol/m²/s	Xu, Juntian
10	Net photosynthesis rate, oxygen	PN O2	µmol/g/h	Xu, Juntian
11	Net photosynthesis rate, standard deviation	PN std dev	±	Xu, Juntian
12	Local Time	Local time		Xu, Juntian
13	Quantum yield efficiency of photosystem II	Fv/Fm		Xu, Juntian
14	Quantum yield efficiency of photosystem II, standard deviation	Fv/Fm std dev	±	Xu, Juntian
15	Electron transport rate, relative	rETR	µmol e/m²/s	Xu, Juntian
16	Electron transport rate, relative, standard deviation	rETR std dev	±	Xu, Juntian
17	Chlorophyll a	Chl a	µg/mg	Xu, Juntian
18	Chlorophyll a, standard deviation	Chl a std dev	±	Xu, Juntian
19	Carotenoids	Carotenoids	µg/g	Xu, Juntian
20	Carotenoids, standard deviation	Carotenoids std dev	±	Xu, Juntian
21	Proteins, soluble	Protein sol	mg/g	Xu, Juntian
22	Proteins, soluble, standard deviation	Protein sol std dev	±	Xu, Juntian
23	Carbohydrates, soluble	CHO soluble	µg/g	Xu, Juntian
24	Carbohydrates, soluble, standard deviation	CHO soluble std dev	±	Xu, Juntian
25	Salinity	Sal		Xu, Juntian
26	Phosphate	[PO4]3-	µmol/kg	Xu, Juntian
27	Silicate	Si(OH)4	µmol/kg	Xu, Juntian
28	Temperature, water	Temp	°C	Xu, Juntian
29	pH, NBS scale	pH NBS		Xu, Juntian		NBS scale
30	pH, standard deviation	pH std dev	±	Xu, Juntian		NBS scale
31	Partial pressure of carbon dioxide (water) at sea surface temperature (wet air)	pCO2water_SST_wet	µatm	Xu, Juntian
32	Partial pressure of carbon dioxide, standard deviation	pCO2 std dev	±	Xu, Juntian
33	Carbon, inorganic, dissolved	DIC	µmol/kg	Xu, Juntian
34	Carbon, inorganic, dissolved, standard deviation	DIC std dev	±	Xu, Juntian
35	Bicarbonate ion	[HCO3]-	µmol/kg	Xu, Juntian
36	Bicarbonate ion, standard deviation	[HCO3]- std dev	±	Xu, Juntian
37	Carbonate ion	[CO3]2-	µmol/kg	Xu, Juntian
38	Carbonate ion, standard deviation	[CO3]2- std dev	±	Xu, Juntian
39	Carbon dioxide	CO2	µmol/kg	Xu, Juntian
40	Carbon dioxide, standard deviation	CO2 std dev	±	Xu, Juntian
41	Alkalinity, total	AT	µmol/kg	Xu, Juntian
42	Alkalinity, total, standard deviation	AT std dev	±	Xu, Juntian
43	Carbonate system computation flag	CSC flag		Yang, Yan	Calculated using seacarb after Nisumaa et al. (2010)
44	pH, total scale	pHT		Yang, Yan	Calculated using seacarb after Nisumaa et al. (2010)	total scale
45	Carbon dioxide	CO2	µmol/kg	Yang, Yan	Calculated using seacarb after Nisumaa et al. (2010)
46	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)
47	Bicarbonate ion	[HCO3]-	µmol/kg	Yang, Yan	Calculated using seacarb after Nisumaa et al. (2010)
48	Carbonate ion	[CO3]2-	µmol/kg	Yang, Yan	Calculated using seacarb after Nisumaa et al. (2010)
49	Carbon, inorganic, dissolved	DIC	µmol/kg	Yang, Yan	Calculated using seacarb after Nisumaa et al. (2010)
50	Alkalinity, total	AT	µmol/kg	Yang, Yan	Calculated using seacarb after Nisumaa et al. (2010)
51	Aragonite saturation state	Omega Arg		Yang, Yan	Calculated using seacarb after Nisumaa et al. (2010)
52	Calcite saturation state	Omega Cal		Yang, Yan	Calculated using seacarb after Nisumaa et al. (2010)

License:

Creative Commons Attribution 4.0 International (CC-BY-4.0)

Status:

Curation Level: Enhanced curation (CurationLevelC)

Size:

4904 data points

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