Li Haili, Ke Changqing, Zhu Qinghui, Shu Su. Spatial-temporal variations in net primary productivity in the Arctic from 2003 to 2016[J]. Acta Oceanologica Sinica, 2019, 38(8): 111-121. doi: 10.1007/s13131-018-1274-5
Citation: Li Haili, Ke Changqing, Zhu Qinghui, Shu Su. Spatial-temporal variations in net primary productivity in the Arctic from 2003 to 2016[J]. Acta Oceanologica Sinica, 2019, 38(8): 111-121. doi: 10.1007/s13131-018-1274-5

Spatial-temporal variations in net primary productivity in the Arctic from 2003 to 2016

doi: 10.1007/s13131-018-1274-5
  • Received Date: 2018-03-26
  • The area of Arctic sea ice has dramatically decreased, and the length of the open water season has increased; these patterns have been observed by satellite remote sensing since the 1970s. In this paper, we calculate the net primary productivity (NPP, calculated by carbon) from 2003 to 2016 based on sea ice concentration products, chlorophyll a (Chl a) concentration, photosynthetically active radiation (PAR), sea surface temperature (SST), and sunshine duration data. We then analyse the spatiotemporal changes in the Chl a concentration and NPP and further investigate the relations among NPP, the open water area, and the length of the open water season. The results indicate that (1) the Chl a concentration increased by 0.025 mg/m3 per year; (2) the NPP increased by 4.29 mg/(m2·d) per year, reaching a maximum of 525.74 mg/(m2·d) in 2016; and (3) the Arctic open water area increased by 57.23×103 km2/a, with a growth rate of 1.53 d/a for the length of the open water season. The annual NPP was significantly positively related to the open water area, the length of the open water season and the SST. The daily NPP was also found to have a lag correlation with the open water area, with a lag time of two months. With global warming, NPP has maintained an increasing trend, with the most significant increase occurring in the Kara Sea. In summary, this study provides a macroscopic understanding of the distribution of phytoplankton in the Arctic, which is valuable information for the evaluation and management of marine ecological environments.
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  • Aagaard K, Carmack E C. 1989. The role of sea ice and other fresh water in the Arctic circulation. Journal of Geophysical Research: Oceans, 94(C10): 14485-14498, doi: 10.1029/JC094iC10p14485
    Arrigo K R, Van Dijken G L. 2011. Secular trends in Arctic Ocean net primary production. Journal of Geophysical Research: Oceans, 116(C9): C09011
    Arrigo K R, Van Dijken G L. 2015. Continued increases in Arctic Ocean primary production. Progress in Oceanography, 136: 60-70, doi: 10.1016/j.pocean.2015.05.002
    Behrenfeld M J, Falkowski P G. 1997. Photosynthetic rates derived from satellite-based chlorophyll concentration. Limnology and Oceanography, 42(1): 1-20, doi: 10.4319/lo.1997.42.1.0001
    Cavalieri D J, Gloersen P, Campbell W J. 1984. Determination of sea ice parameters with the Nimbus 7 SMMR. Journal of Geophysical Research: Atmospheres, 89(D4): 5355-5369, doi: 10.1029/JD089iD04p05355
    Cavalieri D J, Parkinson C L. 2012. Arctic sea ice variability and trends, 1979-2010. The Cryosphere, 6(4): 881-889, doi: 10.5194/tc-6-881-2012
    Cavalieri D J, Parkinson C L, Vinnikov K Y. 2003. 30-year satellite record reveals contrasting Arctic and Antarctic decadal sea ice variability. Geophysical Research Letters, 30(18): 1970
    Comiso J C, Cavalieri D J, Parkinson C L, et al. 1997. Passive microwave algorithms for sea ice concentration: A comparison of two techniques. Remote Sensing of Environment, 60(3): 357-384, doi: 10.1016/S0034-4257(96)00220-9
    Deng Juan. 2014. Northern Hemisphere sea ice variability and its relationship with climate factors (in Chinese) [dissertation]. Nanjing: Nanjing University
    Eisenman I, Meier W N, Norris J R. 2014. Spurious jump in the satellite record: is Antarctic sea ice really expanding?. The Cryosphere Discussions, 8(1): 273-288, doi: 10.5194/tcd-8-273-2014
    Eppley R W. 1972. Temperature and phytoplankton growth in the sea. Fishery Bulletin, 70(4): 1063-1085
    Fu Dongyang, Pan Delu, Ding Youzhuan, et al. 2009. Quantitative study of effects of the sea chlorophyll-a concentration by typhoon based on remote-sensing. Haiyang Xuebao (in Chinese), 31(3): 46-56
    Gloersen P, Cavalieri D J. 1986. Reduction of weather effects in the calculation of sea ice concentration from microwave radiances. Journal of Geophysical Research: Oceans, 91(C3): 3913-3919, doi: 10.1029/JC091iC03p03913
    Ke Changqing, Peng Haitao, Sun Bo, et al. 2013. Spatio-temporal variability of Arctic sea ice from 2002 to 2011. Journal of Remote Sensing (in Chinese), 17(2): 452-466
    Kinnard C, Zdanowicz C M, Fisher D A, et al. 2006. Climatic analysis of sea-ice variability in the Canadian Arctic from operational charts, 1980-2004. Annals of Glaciology, 44(1): 391-402
    Kohlbach D, Graeve M, Lange B A, et al. 2016. The importance of ice algae-produced carbon in the central Arctic Ocean ecosystem: Food web relationships revealed by lipid and stable isotope analyses. Limnology and Oceanography, 61(6): 2027-2044, doi: 10.1002/lno.10351
    Le Fengfeng, Hao Qiang, Jin Haiyan, et al. 2014. Size structure of standing stock and primary production of phytoplankton in the Chukchi Sea and the adjacent sea area during the summer of 2012. Haiyang Xuebao (in Chinese), 36(10): 103-115
    Li Yunliang, Zhang Yunlin, Liu Mingliang. 2009. Calculation and retrieval of euphotic depth of Lake Taihu by remote sensing. Journal of Lake Sciences (in Chinese), 21(2): 165-172, doi: 10.18307/2009.0203
    Li Haili, Ke Changqing. 2017. Open water variability in the North Pole from 1982 to 2016. Haiyang Xuebao (in Chinese), 39(12): 109-121
    Liu Zilin, Chen Jianfang, Liu Yanlan, et al. 2011. The size-fractionated chlorophyll a concentration and primary productivity in the Bering Sea in the summer of 2008. Haiyang Xuebao (in Chinese), 33(3): 148-157
    Mélin F, Sclep G, Jackson T, et al. 2016. Uncertainty estimates of remote sensing reflectance derived from comparison of ocean color satellite data sets. Remote Sensing of Environment, 177: 107-124, doi: 10.1016/j.rse.2016.02.014
    Maheshwari M, Singh R K, Oza S R, et al. 2013. An investigation of the southern ocean surface temperature variability using long-term optimum interpolation SST data. ISRN Oceanography, 2013: 392632
    Meister G, Franz B A. 2014. Corrections to the MODIS Aqua calibration derived from MODIS Aqua ocean color products. IEEE Transactions on Geoscience and Remote Sensing, 52(10): 6534-6541, doi: 10.1109/TGRS.2013.2297233
    Morel A, Berthon J F. 1989. Surface pigments, algal biomass profiles, and potential production of the euphotic layer: relationships reinvestigated in view of remote-sensing applications. Limnology and Oceanography, 34(8): 1545-1562, doi: 10.4319/lo.1989.34.8.1545
    Ning Xiuren, Liu Zilin, Shi Junxian. 1995. Assessment of primary productivity and potential fishery production in the Bohai Sea, Yellow Sea and East China Sea. Haiyang Xuebao (in Chinese), 17(3): 72-84
    Pabi S, Van Dijken G L, Arrigo K R. 2008. Primary production in the Arctic Ocean, 1998-2006. Journal of Geophysical Research: Oceans, 113(C8): C08005
    Rees G W. 2011. Remote Sensing of Snow and Ice (in Chinese). Che Tao, Gao Feng, trans. Zhengzhou: Yellow River Conservancy Press
    Reinart A, Arst H, Erm A, et al. 2001. Optical and biological properties of Lake Ülemiste, a water reservoir of the city of Tallinn Ⅱ: Light climate in Lake Ülemiste. Lakes and Reservoirs Research and Management, 6(1): 75-84, doi: 10.1046/j.1440-1770.2001.00128.x
    Reynolds R W. 1988. A real-time global sea surface temperature analysis. Journal of Climate, 1(1): 75-87, doi: 10.1175/1520-0442(1988)001<0075:ARTGSS>2.0.CO;2
    Reynolds R W, Marsico D C. 1993. An improved real-time global sea surface temperature analysis. Journal of Climate, 6(1): 114-119, doi: 10.1175/1520-0442(1993)006<0114:AIRTGS>2.0.CO;2
    Reynolds R W, Rayner N A, Smith T M, et al. 2002. An improved in situ and satellite SST analysis for climate. Journal of Climate, 15(13): 1609-1625, doi: 10.1175/1520-0442(2002)015<1609:AⅡSAS>2.0.CO;2
    Stroeve J, Holland M M, Meier W, et al. 2007. Arctic sea ice decline: faster than forecast. Geophysical Research Letters, 34(9): L09501
    Swift C T, Fedor L S, Ramseier R O. 1985. An algorithm to measure sea ice concentration with microwave radiometers. Journal of Geophysical Research: Oceans, 90(C1): 1087-1099, doi: 10.1029/JC090iC01p01087
    Swift C T, Cavalieri D J. 1985. Passive microwave remote sensing for sea ice research. EOS, 66(49): 1210-1212, doi: 10.1029/EO066i049p01210
    Tao Zui, Ma Sheng, Yang Xiaofeng, et al. 2017. Assessing the uncertainties of phytoplankton absorption-based model estimates of marine net primary productivity. Acta Oceanologica Sinica, 36(6): 112-121, doi: 10.1007/s13131-017-1047-8
    Wang Weibo. 2011. Solar radiation observation and bio-optical properties of seawater in Canada Basin (in Chinese) [dissertation]. Qingdao: Ocean University of China
    Yin Yan, Zhang Yunlin, Shi Zhiqiang, et al. 2012. Estimation of spatial and seasonal changes in phytoplankton primary production in Meiliang Bay, Lake Taihu, based on the vertically generalized production model and MODIS data. Acta Ecologica Sinica (in Chinese), 32(11): 3528-3537, doi: 10.5846/stxb
    Zhou Weihua, Huo Wenyi, Yuan Xiangcheng, et al. 2003. Distribution features of chlorophyll a and primary productivity in high frequency area of red tide in East China Sea during Spring. Chinese Journal of Applied Ecology (in Chinese), 14(7): 1055-1059
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