Variability of Primary Productivity as an Initial Link in Carbon Flux Under the Influence of Hydrological Conditions in the Baltic Sea
Аннотация и ключевые слова
Аннотация (русский):
Investigating variability in phytoplankton primary productivity as a key component of the “biological pump” is critical to quantifying flux in the marine environment. We hypothesized that under certain hydrological conditions, changes in phytoplankton productivity are greater with changes in photosynthetic efficiency (the ratio of primary production (P P ) to the rate of electron transport in the phytoplankton photosystem, P P /ETR) than with changes in chlorophyll content. This study showed that increase of P P during sharp changes in hydrological parameters in the temporary frontal South-East Baltic (SEB) is achieved by increasing the efficiency of photosynthesis, i.e., the degree of use of light energy captured by chlorophyll a (Chl a). In the Gulf of Finland (GF), an increase in P P followed an increase in salinity from the Neva mouth to the sea and controls chlorophyll contents with low variability in photosynthetic efficiency. For SEB and GF, measurements of parameters of phytoplankton productivity and chlorophyll a content in late autumn (November) are carried out. The first stage of carbon flow (in biological pump), expressed in terms of primary production, was higher in the SEB than in the GF

Ключевые слова:
primary productivity, carbon flux, photosynthetic efficiency, active chlorophyll fluorescence, frontal zone, Baltic Sea
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Список литературы

1. Aleksandrov, S. V. (2010), Biological production and eutrophication of Baltic Sea estuarine ecosystems: The Curonian and Vistula Lagoons, Marine Pollution Bulletin, 61(4–6), 205–210, https://doi.org/10.1016/j.marpolbul.2010.02.015.

2. Behrenfeld, M. J., and P. G. Falkowsk (1997), Photosynthetic rates derived from satellite-based chlorophyll concentration, Limnology and Oceanography, 42(1), 1–20.

3. Ciotti, A. M., M. R. Lewis, and J. J. Cullen (2002), Assessment of the relationships between dominant cell size in natural phytoplankton communities and the spectral shape of the absorption coefficient, Limnology and Oceanography, 47(2), 404–417.

4. Cullen, J. J. (1990), On models of growth and photosynthesis in phytoplankton, Deep-Sea Research, 37, 667–683.

5. Demidov, A. N., S. A. Myslenkov, V. A. Gritsenko, V. Ya. Sultanov, M. N. Pisareva, K. P. Silvestrova, and A. A. Polukhin (2011), Specific features of water structure and dynamics within the coastal part of the Baltic Sea near the Sambian Peninsula, Moscow University Bulletin. Series 5, Geography, 1, 41–47 (in Russian), EDN: OIPRSH.

6. Eppley, R. W. (1972), Temperature and phytoplankton growth in the sea, Fishery Bulletin, 70(4), 1063–1085. Genty, B., J.-M. Briantais, and N. R. Baker (1989), The relationship between the quantum yield of photosynthetic electron transport and quenching of chlorophyll fluorescence, Biochimica et Biophysica Acta (BBA) - General Subjects, 990(1), 87–92, https://doi.org/10.1016/S0304-4165(89)80016-9.

7. Golubkov, S., M. Golubkov, A. Tiunov, and V. Nikulina (2017), Long-term changes in primary production and mineralization of organic matter in the Neva Estuary (Baltic Sea), Journal of Marine Systems, 171, 73–80, https://doi.org/10.1016/j.jmarsys.2016.12.009.

8. Grasshof, K., K. Kremling, and M. Ehrhardt (Eds.) (1999), Methods of Seawater Analysis, 3rd ed., 577 pp., Wiley, https://doi.org/10.1002/9783527613984.

9. Hammer, Ø., D. A. T. Harper, and P. D. Ryan (2001), Past: paleontological statistics software package for education and data analysis, Palaeontologia Electronica, 4, 1–9.

10. Hancke, K., T. Dalsgaard, M. K. Sejr, S. Markager, and R. N. Glud (2015), Phytoplankton Productivity in an Arctic Fjord (West Greenland): Estimating Electron Requirements for Carbon Fixation and Oxygen Production, PLOS ONE, 10(7), e0133,275, https://doi.org/10.1371/journal.pone.0133275.

11. Holm-Hansen, O., and B. Riemann (1978), Chlorophyll a Determination: Improvements in Methodology, Oikos, 30(3), 438, https://doi.org/10.2307/3543338.

12. Juneau, P., and P. J. Harrison (2005), Comparison by PAM Fluorometry of Photosynthetic Activity of Nine Marine Phytoplankton Grown Under Identical Conditions, Photochemistry and Photobiology, 81(3), 649–653, https://doi.org/10.1111/j.1751-1097.2005.tb00239.x.

13. Knap, A., A. Michaels, A. Close, H. Ducklow, and A. Dickson (Eds.) (1994), Protocols for the Joint Global Ocean Flux Study (JGOFS) Core Measurements. Reprint of the IOC Manuals and Guides No. 29, UNESCO.

14. Kolber, Z. S., O. Prášil, and P. G. Falkowski (1998), Measurements of variable chlorophyll fluorescence using fast repetition rate techniques: defining methodology and experimental protocols, Biochimica et Biophysica Acta (BBA) - Bioenergetics, 1367(1–3), 88–106, https://doi.org/10.1016/s0005-2728(98)00135-2.

15. Krause, G. H., and E. Weis (1991), Chlorophyll Fluorescence and Photosynthesis: The Basics, Annual Review of Plant Physiology and Plant Molecular Biology, 42(1), 313–349, https://doi.org/10.1146/annurev.pp.42.060191.001525.

16. Kromkamp, J. C., N. A. Dijkman, J. Peene, S. G. H. Simis, and H. J. Gons (2008), Estimating phytoplankton primary production in Lake IJsselmeer (The Netherlands) using variable fluorescence (PAM-FRRF) and C-uptake techniques, European Journal of Phycology, 43(4), 327–344, https://doi.org/10.1080/09670260802080895.

17. Kudryavtseva, E. A., and S. V. Aleksandrov (2019), Hydrological and Hydrochemical Underpinnings of Primary Production and Division of the Russian Sector in the Gdansk Basin of the Baltic Sea, Oceanology, 59(1), 49–65, https://doi.org/10.1134/S0001437019010077.

18. Lawrenz, E., G. Silsbe, E. Capuzzo, P. Ylöstalo, et al. (2013), Predicting the Electron Requirement for Carbon Fixation in Seas and Oceans, PLoS ONE, 8(3), e58,137, https://doi.org/10.1371/journal.pone.0058137.

19. Laws, E. A., and K. Maiti (2019), The relationship between primary production and export production in the ocean: Effects of time lags and temporal variability, Deep Sea Research Part I: Oceanographic Research Papers, 148, 100–107, https://doi.org/10.1016/j.dsr.2019.05.006.

20. Lippemeier, S. (1999), Direct impact of silicate on the photosynthetic performance of the diatom Thalassiosira weissflogii assessed by on- and off-line PAM fluorescence measurements, Journal of Plankton Research, 21(2), 269–283, https://doi.org/10.1093/plankt/21.2.269.

21. Marra, J., Ch. C. Trees, and J. E. O’Reilly (2007), Phytoplankton pigment absorption: A strong predictor of primary productivity in the surface ocean, Deep Sea Research Part I: Oceanographic Research Papers, 54(2), 155–163, https://doi.org/10.1016/j.dsr.2006.12.001.

22. Mosharov, S. A., V. M. Sergeeva, V. V. Kremenetskiy, A. F. Sazhin, and S. V. Stepanova (2019), Assessment of phytoplankton photosynthetic efficiency based on measurement of fluorescence parameters and radiocarbon uptake in the Kara Sea, Estuarine, Coastal and Shelf Science, 218, 59–69, https://doi.org/10.1016/j.ecss.2018.12.004.

23. Mosharov, S. A., I. V. Mosharova, O. A. Dmitrieva, A. S. Semenova, and M. O. Ulyanova (2022), Seasonal Variability of Plankton Production Parameters as the Basis for the Formation of Organic Matter Flow in the Southeastern Part of the Baltic Sea, Water, 14(24), 4099, https://doi.org/10.3390/w14244099.

24. Pereira Granja Russo, A. D., M. S. de Souza, C. R. Borges Mendes, V. Maria Tavano, and C. A. Eiras Garcia (2018), Spatial variability of photophysiology and primary production rates of the phytoplankton communities across the western Antarctic Peninsula in late summer 2013, Deep Sea Research Part II: Topical Studies in Oceanography, 149, 99–110, https://doi.org/10.1016/j.dsr2.2017.09.021.

25. Piontek, J., S. Endres, F. A. C. Le Moigne, M. Schartau, and A. Engel (2019), Relevance of Nutrient-Limited Phytoplankton Production and Its Bacterial Remineralization for Carbon and Oxygen Fluxes in the Baltic Sea, Frontiers in Marine Science, 6, https://doi.org/10.3389/fmars.2019.00581.

26. Platt, T., and Ch. L. Gallegos (1980), Modelling Primary Production, in Primary Productivity in the Sea, pp. 339–362, Springer US, https://doi.org/10.1007/978-1-4684-3890-1_19.

27. Röttgers, R. (2007), Comparison of different variable chlorophyll a fluorescence techniques to determine photosynthetic parameters of natural phytoplankton, Deep Sea Research Part I: Oceanographic Research Papers, 54(3), 437–451, https://doi.org/10.1016/j.dsr.2006.12.007.

28. Schreiber, U. (2004), Pulse-Amplitude-Modulation (PAM) Fluorometry and Saturation Pulse Method: An Overview, in Advances in Photosynthesis and Respiration, pp. 279–319, Springer Netherlands, https://doi.org/10.1007/978-1-4020-3218-9_11.

29. Schreiber, U., U. Schliwa, and W. Bilger (1986), Continuous recording of photochemical and non-photochemical chlorophyll fluorescence quenching with a new type of modulation fluorometer, Photosynthesis Research, 10(1–2), 51–62, https://doi.org/10.1007/BF00024185.

30. Schreiber, U., W. Bilger, and C. Neubauer (1995), Chlorophyll Fluorescence as a Nonintrusive Indicator for Rapid Assessment of In Vivo Photosynthesis, in Ecophysiology of Photosynthesis, pp. 49–70, Springer Berlin Heidelberg, https://doi.org/10.1007/978-3-642-79354-7_3.

31. Steemann Nielsen, E. (1952), The Use of Radio-active Carbon (C14) for Measuring Organic Production in the Sea, ICES Journal of Marine Science, 18(2), 117–140, https://doi.org/10.1093/icesjms/18.2.117.

32. Suggett, D. J., H. L. MacIntyre, T. M. Kana, and R. J. Geider (2009), Comparing electron transport with gas exchange: parameterising exchange rates between alternative photosynthetic currencies for eukaryotic phytoplankton, Aquatic Microbial Ecology, 56, 147–162, https://doi.org/10.3354/ame01303.

33. Suggett, D. J., C. M. Moore, and R. J. Geider (2010), Estimating Aquatic Productivity from Active Fluorescence Measurements, in Chlorophyll a Fluorescence in Aquatic Sciences: Methods and Applications, pp. 103–127, Springer Netherlands, https://doi.org/10.1007/978-90-481-9268-7_6.

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