Spike in phytoplankton biomass in Greenland Sea during 2009 and the correlations among chlorophyll-a, aerosol optical depth and ice cover

Bo Qu; Albert J. Gabric; Hailang Lu; Daorong Lin

doi:10.1007/s00343-014-3141-3

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Spike in phytoplankton biomass in Greenland Sea during 2009 and the correlations among chlorophyll-a, aerosol optical depth and ice cover

Updated：2023-05-16

- Spike in phytoplankton biomass in Greenland Sea during 2009 and the correlations among chlorophyll-a, aerosol optical depth and ice cover
- Journal of Oceanology and Limnology Vol. 32, Issue 2, Pages: 241-254(2014)
- Affiliations：
  
  1. School of Science Nantong University
  2. School of Environment Griffith University
- Author bio：
- Funds：
- DOI：10.1007/s00343-014-3141-3
  CLC：
- Online First：28 December 2013，
  
  Published：2014
- Accepted：
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Qu, B., Gabric, A.J., Lu, H. et al. Spike in phytoplankton biomass in Greenland Sea during 2009 and the correlations among chlorophyll-a, aerosol optical depth and ice cover., Chin. J. Ocean. Limnol. 32, 241–254 (2014). https://doi.org/10.1007/s00343-014-3141-3
DOI：

Qu, B., Gabric, A.J., Lu, H. et al. Spike in phytoplankton biomass in Greenland Sea during 2009 and the correlations among chlorophyll-a, aerosol optical depth and ice cover., Chin. J. Ocean. Limnol. 32, 241–254 (2014). https://doi.org/10.1007/s00343-014-3141-3 DOI：

摘要

Abstract

The distributions and correlations of chlorophyll-a (Chl-a)

aerosol optical depth (AOD) and ice cover in the southeast Arctic Ocean-Greenland Sea (10°W–10°E

70°–80°N) between 2003 and 2009 were studied using satellite data and statistical analyses. Regression analysis showed correlations between Chl-a and AOD

Chl-a and ice cover

and AOD and ice cover with different time lags. The time lag of Chl-a and AOD indicated their long-term equilibrium relationship. Peaks in AOD and Chl-a and generally occurred in May and July

respectively. Despite the time lag

the correlation between Chl-a and AOD in the study region was as high as 0.7. The peak gap between Chl-a and AOD shifted for about 6 weeks during 2003–2009. In the summer and autumn of 2009

Chl-a and AOD levels were much higher than during the other years

especially in the northern band of the study region (75°–80°N). The driving forces for this localized increase in phytoplankton biomass could be mainly attributed to the very high rate of ice melting in spring and early summer and the high wind speed in autumn

together with the increased deposition of aerosol throughout the year. The unusually high AOD in the spring of 2003 was mainly due to a massive fire in Russia

which occurred in the first half of the year. Over the 7 years of the study

the sea surface temperature generally decreased. This may have been due to the release of dimethylsulfide into the air

excreted in large amounts from abundant phytoplankton biomass

and its subsequent reaction

form large amounts of aerosol

and resulting in regional cooling.

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references

Aagaard K, Coachman L K. 1968. The East Greenland Current north of Denmark Strait, Part I. Arctic, 21: 181–200.

Becker V, Huszar V L M, Naselli-Flores L, and Padisak J. 2008. Phytoplankton equilibrium phases during thermal stratification in a deep subtropical reservoir. Freshwater Biology, 53: 952–963.

Carol M L, Timothy P. 2004. Biological Oceanography: An Introduction. ISBN 9780750633840. http://www.somas.stonybrook.edu/~conover/Textbooks/Biological%20Oceanography.pdf.

Charlson R J, Lovelock J E, Andreae M O, Warren S G. 1987. Oceanic phytoplankton, atmospheric sulphur, cloud albedo and climate. Nature, 326: 655–661.

Chisholm S W, Morel F M M. 1991. What controls phytoplankton production in nutrient-rich areas of the open sea?. Limnol. Oceanogr., 36: 1 507–1 970.

Cota C F. 1994. Phytosynthesis of haeocystis in the Greenland Sea. Limnol. Oceanogr., 39(4): 948–953.

Cropp R A, Gabric A J, McTainsh G H, Braddock R D, Tindale N W. 2005. Coupling between ocean biota and atmospheric aerosols: dust, DMS or artefact?. Global Biogeochemical Cycles, 19: GB4002.

Fahnenstiel G A, Pothoven S, Nalepa T, Vanderploeg H, Klarer D, Scavia D. 2010. Recent changes in primary production and phytoplankton in the offshore region of southeastern Lake Michigan. J. Great Lakes Res., 36(Suppl. 3): 20–29.

Gabric A J, Cropp R, Ayers G P, McTainsh G, Branddock R. 2002. Coupling between cycles of phytoplankton biomass and aerosol optical depth as derived from SeaWiFS time series in the Subantarctic Southern Ocean. Geophys. Res. Lett., 29(7): 1 112–1 146.

Gabric A J, Gregg W, Najjar R, Erickson D, Matrai P. 2001. Modelling the biogeochemical cycle of simethylsulfide in the upper ocean: a review. Chemosphere-Global Change.Science, 126: 1–16.

Gabric A J, Murray N, Stone L, Koh M. 1993. Modelling the production of dimethylsulfide during a phytoplankton bloom. Journal of Geophysical Research — Ocean, 9: 822, 805–822, 816.

Gabric A J, Shephard J M, Knight J M, Jones G B, Trevena A J. 2005. Correlations between the satellite-derived seasonal cycles of phytoplankton biomass and aerosol optical depth in the Southern Ocean: evidence for the influence of sea ice. Global Biogeochemical Cycles, 19: 1–10.

Generoso S, Bey I, Attié J L, Bréon F M. 2007. A satellite- and model-based assessment of the 2003 Russian fires: impact on the Arctic region. J. Geophys. Res., 112: D15302, http://dx.doi.org/10.1029/2006JD008344.

Heide-Jørgensen M P, Laidre K L, Logsdon M L, Nielsen T G. 2007. Springtime coupling between phytoplankton, sea ice and sea temperature in Disko Bay, West Greenland. Progress in Oceanography, 73: 79–95.

Horner R A. 1985. Ecology of sea ice microalgae.In: Horner R A ed. Sea Ice Biota. CRC Press. p.83–103.

Hunt G L, Jr Drinkwater K F. 2005. Background on the climatology, physical oceanography and exosystems of the sub-Arctic Seas. Appendix to the ESSAS Science Plan. GLOBEC Report, No.20, viii, 96.

Hurrell J W. 2000. The North Atlantic Oscillation. Prepared for the National Academy of Sciences, 12th Annual Symposium on Frontiers of Science, Irvine, CA.

Ikavalko J, Gradinger R. 1997. Flagellates and heliozoans in the Greenland Sea ice studies alive using light microscopy. Polar Biology, 17: 473–481.

Jones I D, Elliott A. 2007. Modelling the effect of changing retention time on abundance and composition of phytoplankton species in a small lake. Freshw. Biol., 52: 988–997.

Kahru M, Gille S T, Murtugudde R, Strutton P G, Manzano-Sarabia M, Wang H, Mitchell B G. 2010. Global correlations between winds and ocean chlorophyll. Journal of Geophysical Research, 115(C12): L1–11, http://dx.doi.org/10.1029/2010JC006500.

Kulmala M, Riipinen I, Sipila M, Manninen H E, Petaja T, Junninen H, Maso M D, Mordas G, Mirme A, Vana M, Hirsikko A, Laakso L, Harrison R M, Hanson I, Leung C, Lehtinen K E J, Kerminen V-M. 2007. Toward direct measurement of atmospheric nucleation. Science, 318: 89–92.

Lara R J, Kattner G, Tillmann U, Hirche H J. 1994. The North East Water polynya (Greenland Sea) II. Mechanisms of nutrient supply and influence on phytoplankton distribution. Polar Biol., 14: 483–490.

Loose B, Miller L A, Elliott S, Papakyriakou T. 2011. Sea ice biogeochemistry and material transport across the frozen interface. Oceanography, 24(3): 202–218.

Matrai P A, Vernet M. 1997. Dynamics of the vernal bloom in the marginal ice zone of the Barents Sea: dimethylsulfide and dimethysulfoniopropionate budgets. Journal of Geophysical Research—Ocean, 102: 22 965–22 979.

Qu B, Gabric A J, Zhu J N, Lin D R, Qian F, Zhao M. 2012. Correlation between sea surface temperature and wind speed in Greenland Sea and their relationships with NAO variability. Water Science and Engineering, 5(3): 304–315.

Qu B, Gabric A J. 2010. Using genetic algorithms to calibrate a dimethylsulfide production model in the Arctic Ocean. Chinese Journal of Oceanology and Limnology, 28(1): 1–10, http://dx.doi.org/10.1007/s00343-010-9062-x.

Rangel L M, Silva L H S, Rosa P, Roland F, Huszar V L M. 2012. Phytoplankton biomass is mainly controlled by hydrology and phosphorus concentrations in tropical hydroelectric reservoirs. Hydrobiologia, 693: 13–28.

Rey F, Noji T T, Mille L A. 2000. Seasonal phytoplankton development and new production in the central Greenland Sea. Sarsia, 85: 329–344.

Siegel D A, Doney S C, Yoder J A. 2002. The North Atlantic spring phytoplankton bloom and Sverdrup’s critical depth hypothesis. Science, 296: 730–733.

Spreen G, Kern S, Stammer D, Hansen E. 2009. Fram Strait sea ice volume export estimated between 2003 and 2008 from satellite data. Geophysical Research Letters, 36: L19502, http://dx.doi.org/20.1029/2009GL039591.

Struthers H, Ekman A M L, Glantz P, Iversen T, Kirkevåg A, Mårtensson E M, Selø, Nilsson E D. 2011. The effect of sea ice loss on sea salt aerosol concentrations and the radiative balance in the Arctic. Atmos. Chem. Phys., 11: 3 459–3 477, http://dx.doi.org/10.5194/acp-11-3459-2011.

Svend-Aage M, Steingrimur J. 1997. Timing of deep convection in the Greenland and Iceland Seas. Journal of Marine Science, 54: 300–309.

Thomas D N, Dieckmann G S eds. 2010. Sea Ice. 2nd edn. Siley-Blackwell, Oxford IK. p.640.

Tsuknerik M, Deser C, Alexander M, Tomas R. 2010. Atmospheric forcing of Fram Strait sea ice export: a closer look. Climate Dynamics, 35(7): 1 349–1 360.

Werner I, Ikavalko J, Schunemann H. 2007. Sea-ice algae in Arctic pack ice during later winter. Polar Biol., 30: 1 493–1 504.

Woodgate R A, Fahrbach E, Rohardt G. 1999. Structure and transport of the East Greenland Current at 75°N from moored current meters. Journal of Geophysical Research, 104: 18 059–18 072.

Yager P, Wallace D, Johnson K, Smith W, Minnett P, Deming J. 1995. The Northeast Water Polynya as an atmospheric CO2 sink: a seasonal rectification hypothesis. Journal of Geophysical Research, 100(C3), http://dx.doi.org/10.1029/94JC01962.

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