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Influence of atmospheric precipitation and surface runoff on phytoplankton characteristics in the northern part of the Black Sea

https://doi.org/10.55959/MSU0579-9414.5.78.4.3

Abstract

The joint dynamics of the Black Sea phytoplankton parameters (primary production, specific growth rate, biomass) and the amount of precipitation over the period from 1998 to 2015 was studied in coastal areas and the open coast of the northern part of the Black Sea. The analysis used satellite data (SG) (GPCPMON) GPCP Version 3.2, TRMM TMPA (3B42RT), as well as SeaWiFS from 1998 to 2010, MODIS-Aqua from 2002 to 2015 and MODIS-Terra from 2000 to 2015. Phytoplankton indicators were calculated according to the models developed earlier by the authors. The average monthly values of all considered values were evaluated, as well as bi-weekly and daily values for atmospheric precipitation. As a result of the study, it was revealed that the role of atmospheric precipitation for the variability of phytoplankton characteristics is not significant in vast water areas over long time intervals, and it could be neglected. In some cases in the presence of large rivers and coastal runoff it increases up to 30% in the offshore areas. There was also a more noticeable effect of atmospheric precipitation on the biological productivity of phytoplankton in small, limited water areas over short time intervals. According to our data during the 18-year period there was a more noticeable correlation between the specific growth rate and precipitation in winter than in other seasons for the open coast of the Black Sea. The correlation of biomass and primary production with atmospheric precipitation is less pronounced. The specific growth rate correlated more than other studied phytoplankton indicators with the amount of precipitation. In three districts, an increase in the amount of precipitation relative to the previous level with monthly averages above 0,6 mm/day led to an increase in the specific growth rate, or maintained it at the same level. The increase in the specific growth rate was not the same everywhere and was not proportional to the amount of atmospheric precipitation. This indicates the influence of many factors on phytoplankton characteristics; however, precipitation could have an additional stimulating role.

About the Authors

I. V. Kovalyova
Kovalevsky Institute of Biology of the Southern Seas, Russian Academy of Sciences
Russian Federation

Department of Algae Ecological Physiology, Scientifi c Researcher, Ph.D. in Biology



V. V. Suslin
Marine Hydrophysical Institute, Russian Academy of Sciences
Russian Federation

Department of Dynamics of the Oceanic Processes, Head of the Department, Leading Scientifi c Researcher, Ph.D. in Physics and Mathematics



References

1. Beverland I.J., Crowther J.M., Srinivas M.S.N., Heal M.R. The influence of meteorology and at-mospheric transport patterns on the chemical composition of rainfall in south-east England, Atmos. Environ., 1998, vol. 32, no. 6, p. 1039–1048, DOI: 10.1016/S1352-2310(97)00365-8.

2. Burlakova Z.P., Eremeeva L.V., Konovalov S.K. Inventory and fluxes of particulate organic carbon and nitrogen in the Black Sea oxic/anoxic water column, Oceanography of the Eastern Mediterranean and Black Sea. Proceeding of the “Second International Conference on Oceanography of the Eastern Mediterranean and Black Sea: Similarities and Differences of Two Interconnected Basins”, 14–18 October 2002, Ankara, Turkey: TUBITAK Publ., 2003, p. 514–522.

3. Finenko Z.Z., Churilova T.Ya., Sosik H.M., Bastruk O. Variability of photosynthetic parameters of the surface phytoplankton in the Black Sea, Oceanology, 2002, vol. 42, no. 1, p. 53–67.

4. Finenko Z.Z., Kovaleva I.V., Suslin V.V. Novyi podkhod k otsenke biomassy fitoplanktona i ee variabel’nosti v poverkhnostnom sloe Chernogo morya po sputnikovym dannym [A New Approach to Estimate Phytoplankton Biomass and Its Variability in the Black Sea Surface Water Layer Based on Satellite Data], Uspekhi sovremennoi biologii, 2018, vol. 138, no. 3, p. 294–307, DOI: 10.7868/S0042132418030079. (In Russian)

5. Finenko Z.Z., Kovalyova I.V., Suslin V.V. Use of Satellite Data for the Estimation of the Specific Growth Rate of Phytoplankton in the Surface Layer of the Black Sea, Rus. J. of Marine Biology, 2019, vol. 45, no. 4, p. 313–319, DOI: 10.1134/S1063074019040059.

6. Finenko Z.Z., Krupatkina D.K. Pervichnaya produktsiya v Chernom more v zimne-vesennii period [Primary production in the Black Sea during winter-spring period], Okeanologiya, 1993, v. 33, no. 1, p. 94–104. (In Russian)

7. Finenko Z.Z., Mansurova I.M., Suslin V.V. Temporal Dynamics of Phytoplankton Biomass in the Surface Layer of the Black Sea According to Satellite Observations, Oceanology, 2022, vol. 62, no. 3, p. 358–368, DOI: 10.31857/S0030157422030042.

8. Fommervault de O.P., Migon C., Dufour A. et al. Atmospheric input of inorganic nitrogen and phosphorus to the Ligurian Sea: Data from the Cap Ferrat coastal time-series station, Deep-Sea Research I., 2015, vol. 106, p. 116–125, DOI: 10.1016/j.dsr.2015.08.010.

9. Guerzoni S., Chester R., Dulac F. et al. The role of atmospheric deposition in the biogeochemistry of the Mediterranean Sea, Progr. Oceanogr., 1999, no. 44, p. 147–190, DOI: 10.1016/s0079-6611(99)00024-5.

10. Ivanov V.A., Belokopytov V.N. Okeanografiya Chernogo morya [Oceanography of the Black Sea], NAS of Ukraine, Marine Hydrophysical Institute, Sevastopol, EKOSI-Gidrofizika Publ., 2011, 209 р.

11. Maraňόn E. Cell size as a key determinant of phytoplankton metabolism and community structure, Annual Review of Marine Science, 2015, vol. 7, p. 4.1–4.24, DOI: 10.1146/annurev-marine-010814-015955.

12. Medinets S., Medinets V. Investigations of atmospheric wet and dry nutrient deposition to marine surface in western part of the Black Sea, Turkish journal of fisheries and aquatic sciences, 2012, vol. 12, p. 497–505, DOI: 10.4194/1303-2712-v12_2_42.

13. Mikaelyan A.S. Vremennaya dinamika fitoplanktona gluboko vodnogo basseina Chernogo morya [Temporal dynamics of phytoplankton in the deep-sea basin of the Black Sea], D. Sc. Thesis in Biology, Moscow, 2018, 266 p. (In Russian)

14. Minicheva G.G., Bol’shakov V.N., Kalashnik E.S., Zotov A.B., Marinets A.V. Otsenka reaktsii al’gosoobshchestv chernomorskikh ekosistem na vozdeistvie klimaticheskikh faktorov [Assessment of the response of algae communities to the influence of climatic factors in the North-Western Black Sea ecosystem], Al’gologiya, 2018, vol. 28, no. 2, p. 121–135, DOI: 10.15407/alg28.02.121. (In Russian)

15. Shadrin N.V., Golubkov S.M., Balushkina E.V., Orleanskii V.K., Mikhodyuk O.S. Otklik ekosistemy gipersolenogo Bakal’skogo ozera (Krym) na klimaticheskie osobennosti 2004 goda [Response of the ecosystem of the hypersalted Bakal Lake (Crimea) to 2004 climate pattern], Morskoi ekologicheskii zhurnal, 2004, vol. 3, no. 4, p. 74. (In Russian)

16. Stel’makh L.V., Mansurova I.M. Unimodal’naya zavisimost’ skorosti rosta ot ob”ema kletok v kul’turakh chernomorskikh vidov mikrovodoroslei [Unimodal dependence of the growth rate on cell volume in the cultures of the Black Sea microalgae], Voprosy sovremennoi al’gologii, 2017, no. 1(13), URL: http://algology.ru/1101. (In Russian)

17. Stel’makh L.V. Zakonomernosti rosta fitoplanktona i ego potreblenie mikrozooplanktonom v Chernom more [Patterns of phytoplankton growth and its consumption by microzooplankton in the Black Sea], D. Sc. Thesis in Biology, Sevastopol, 2017, 310 p. (In Russian)

18. Suslin V.V., Churilova T.Ya. Regional algorithm for separating light absorption by chlorophyll-a and colored detrital matter in the Black Sea, using 480–560 nm bands from ocean color scanners, Intern. J. of Rem. Sens., 2016, vol. 37, no. 18, p. 4380–4400, DOI: 10.1080/01431161.2016.1211350.

19. Suslin V.V., Churilova T.Ya., Li M.E., Moncheva S., Finenko Z.Z. Kontsentratsiya khlorofilla a v Chernom more: Sravnenie sputnikovykh algoritmov [Comparison of the Black Sea chlorophyll a algorithms for SeaWiFS and MODIS instruments], Fundamental’naya i prikladnaya gidrofizika, 2018, vol. 11, no. 3, p. 64–72, DOI: 10.7868/S2073667318030085. (In Russian)

20. Varenik A.V., Kalinskaya D.V., Myslina M.A., Khoruzhii D.S. [Changes in the content of biogenic elements in the surface layer of seawater after precipitation], Morya Rossii: fundamental’nye i prikladnye issledovaniya, Tezisy dokladov vserossiiskoi nauchnoi konferentsii, 23–28 sentyabrya 2019 g., Sevastopol’, FGBUN FITs MGI [Seas of Russia: fundamental and applied research, Abstracts of reports of the All-Russian scientific conference, September 23–28, 2019, Sevastopol: FGBUN FIT MGI], 2019, р. 51. (In Russian)

21. Varenik A.V., Kozlovskaya O.N., Simonova Yu.V. Estimation of nutrient fluxes to the Crimean Southern coast (Katsiveli) supplied by the atmospheric precipitation in 2010–2015, Physical oceanography, 2016, iss. 5, p. 61–70, DOI: 10.22449/1573-160X-2016-5-61-70.

22. GPCP Version 3.2 Satellite-Gauge (SG) Combined Precipitation Data Set (GPCPMON) DOI: 10.5067/MEASURES/GPCP/DATA304 (data access 02.10.2022).

23. MODIS-Aqua, MODIS-Terra, URL: https://oceancolor.gsfc.nasa.gov/atbd/par/ (access data 22.05.2019).

24. NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group. Moderate-resolution Imaging Spectroradiometer (MODIS) Aqua Ocean Color Data, 2018 Reprocessing, NASA OB.DAAC, Greenbelt, MD, USA, DOI: 10.5067/AQUA/MODIS/L2/OC/2018 (access data 22.05.2019).

25. NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group. Moderate-resolution Imaging Spectroradiometer (MODIS) Terra Ocean Color Data, 2018 Reprocessing, NASA OB.DAAC, Greenbelt, MD, USA, DOI: 10.5067/TERRA/MODIS/L2/OC/2018. (access data 22.05.2019).

26. NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group. Sea-viewing Wide Field-of-view Sensor (SeaWiFS) Ocean Color Data, 2018 Reprocessing, NASA OB.DAAC, Greenbelt, MD, USA, DOI: 10.5067/ORBVIEW-2/SEAWIFS/L2/OC/2018 (access data 22.05.2019).

27. SeaWiFS, URL: http://podaac.jpl.nasa.gov/sst/ (access data 22.05.2019).

28. TRMM (TMPA-RT) Near Real-Time Precipitation L3 1 day 0.25×0.25 degree V7 (TRMM_3B42RT_Daily), DOI: 10.5067/TRMM/TMPA/DAY-E/7 (access data 20.02.2022).


Review

For citations:


Kovalyova I.V., Suslin V.V. Influence of atmospheric precipitation and surface runoff on phytoplankton characteristics in the northern part of the Black Sea. Lomonosov Geography Journal. 2023;(4):28-39. (In Russ.) https://doi.org/10.55959/MSU0579-9414.5.78.4.3

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