2016
DOI: 10.1002/lno.10256
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Effects of increased CO2 concentration on nutrient limited coastal summer plankton depend on temperature

Abstract: Increasing seawater temperature and CO2 concentrations both are expected to increase coastal phytoplankton biomass and carbon to nutrient ratios in nutrient limited seasonally stratified summer conditions. This is because temperature enhances phytoplankton growth while grazing is suggested to be reduced during such bottom‐up controlled situations. In addition, enhanced CO2 concentrations potentially favor phytoplankton species, that otherwise depend on costly carbon concentrating mechanisms (CCM). The trophic … Show more

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Cited by 40 publications
(48 citation statements)
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“…Values for the following decreasing pH levels were 7.779 ± 0.012, 7.641 ± 0.007, 7.460 ± 0.001, 7.323 ± 0.030, and 7,159 ± 0.004. As expected, the pH T in all bags increased during the incubation period due to photosynthesis (Rost et al, 2008;Paul et al, 2016) (mean protons change per bag of −1.52 × 10 −8 ± 6.67 × 10 −9 mol L −1 over the 9-day experiment; Fig. 2).…”
Section: Irradiance Conditionssupporting
confidence: 76%
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“…Values for the following decreasing pH levels were 7.779 ± 0.012, 7.641 ± 0.007, 7.460 ± 0.001, 7.323 ± 0.030, and 7,159 ± 0.004. As expected, the pH T in all bags increased during the incubation period due to photosynthesis (Rost et al, 2008;Paul et al, 2016) (mean protons change per bag of −1.52 × 10 −8 ± 6.67 × 10 −9 mol L −1 over the 9-day experiment; Fig. 2).…”
Section: Irradiance Conditionssupporting
confidence: 76%
“…Normality of the data was determined using a Shapiro-Wilk test at the 0.05 significance level and data were transformed (log or square root) when the normality was rejected (p < 0.05). To test for differences between pH and light treatments for the variables measured during the experiment (time series of nutrient and Chl a concentrations, phytoplankton, bacteria abundances, and dimethylated compound concentrations), we used a generalized least-square model that corrected for data autocorrelation due to time repetition (gls command in R studio, package nlme; also see the method described by Paul et al, 2016). In the model, time and pH were taken as two continuous factors; the light was included as a categorical factor (two levels: low light, high light).…”
Section: Discussionmentioning
confidence: 99%
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“…However, in their autumn experiment Paul and colleagues (2015) found no effects of CO 2 on either blooming time or phytoplankton biomass whereas according to Sommer and colleagues (2015) changes in the composition of rare phytoplankton species were weak. In both studies, the only indications for CO 2 effects on phytoplankton were an interaction effect of CO 2 and temperature on phytoplankton biovolume and an increase in cell size with CO 2 enrichment (Sommer et al ., ) during the autumn experiment as well as an interaction effect of temperature and CO 2 on phytoplankton biomass because of reduced grazing in the summer experiment (Paul et al ., ).…”
Section: Discussionmentioning
confidence: 97%
“…() for the autumn experiment and Paul et al . () for the summer experiment]. Samples for amino acids analyses were taken between t 1 and t 4 , and those for the molecular characterisation of dissolved organic matter (DOM) on the day of filling, day 16 and day 21 ( t 4 ), both during the autumn experiment.…”
Section: Methodsmentioning
confidence: 99%