Aquatic Biology (Nov 2014)

Continuous monitoring of in vivo chlorophyll a fluorescence in Ulva rigida (Chlorophyta) submitted to different CO2, nutrient and temperature regimes

  • FL Figueroa,
  • R Conde-Álvarez,
  • J Bonomi Barufi,
  • PSM Celis-Plá,
  • P Flores,
  • EJ Malta,
  • DB Stengel,
  • O Meyerhoff,
  • A Pérez-Ruzafa

DOI
https://doi.org/10.3354/ab00593
Journal volume & issue
Vol. 22
pp. 195 – 212

Abstract

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A Monitoring-PAM fluorometer with high temporal resolution (every 5 min) was used to assess the effects on photosynthesis in Ulva rigida (Chlorophyta) during exposure to 2 different CO2 conditions: current (‘LC’, 390 ppm), and the predicted level for the year 2100 (‘HC’, 700 ppm) in a crossed combination with 2 different daily pulsed nitrate concentrations (‘LN’, 5 µM and ‘HN’, 50 µM) and 2 temperature regimes (ambient and ambient +4°C). Effective quantum yield (ΔF/Fm') in the afternoon was lower under HCLN conditions than under the other treatments. The decrease in ΔF/Fm' from noon to the afternoon was significantly lower under +4°C compared to ambient temperature. Maximal quantum yield (Fv/Fm) decreased during the night with a transient increase 1 to 3 h after sunset, whereas a transient increase in ΔF/Fm' was observed after sunrise. These transient increases have been related to activation/deactivation of the electron transport rate and the relaxation of non-photochemical quenching. Relative electron transport rate was higher under the LC and +4°C treatment, but the differences were not significant due to high variability in daily irradiances. Redundancy analysis on the data matrix for the light periods indicates that photosynthetically active radiation through the day is the main variable determining the physiological responses. The effects of nutrient levels (mainly carbon) and experimental increase of temperature were low but significant. During the night, the effect of nutrient availability is of special importance with an opposite effect of nitrogen compared to carbon increase. The application of the Monitoring-PAM to evaluate the effects of environmental conditions by simulating climate change variations under outdoor-controlled, semi-controlled conditions is discussed.