Latitudinal and interannual variations of the spring phytoplankton bloom peak in the East Asian marginal seas

CHEN Cheng; MAO Zhihua; HAN Guoqi; ZHU Qiankun; GONG Fang; WANG Tianyu

doi:10.1007/s13131-016-0867-0

东亚边缘海区浮游植物春华的纬向与年际变化

doi: 10.1007/s13131-016-0867-0

1.
国家海洋局第二海洋研究所卫星海洋环境动力学国家重点实验室
2.
加拿大渔业海洋部北大西洋渔业研究中心

计量
- 文章访问数: 1006
- HTML全文浏览量: 51
- PDF下载量: 499
- 被引次数: 0
出版历程
- 收稿日期: 2015-11-16
- 修回日期: 2016-05-03

Latitudinal and interannual variations of the spring phytoplankton bloom peak in the East Asian marginal seas

1.
State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China
2.
Biological and Physical Oceanography Section, Fisheries and Oceans Canada, Northwest Atlantic Fisheries Centre, Newfoundland and Labrador, Canada

摘要

摘要: 针对一个比较完整的东亚大陆边缘海区，包括南海北部、日本列岛黑潮主干流区、日本海与鄂霍茨克海，其每年藻华峰期的纬向与年际变化研究非常鲜见。基于10年（2003-2012）遥感数据，论文报道每年叶绿素a浓度峰值时间约以21.20±2.86公里/天（十年中值±标准偏差）的速度从南海北部（12月-1月）向鄂霍茨克海（5月-6月）北向推进。除了南海北部的冬季藻华外，其余三个海区每年的支配性藻华事件均为春季藻华。藻华峰值时间的年际变化集中于十年中值时间的前后48天内，因此这个周期（十年中值±48天）被定义为每年的“春华”周期。从2003至2012年随着海洋表层温度上升春华峰值时间提前，但“春华”周期里平均叶绿素a浓度降低（由于不足的光照条件）的趋势在鄂霍茨克海最为显著。其余三个海区（南海北部、日本列岛黑潮主干流区与日本海）相应的年际变化趋势都不显著。论文研究结果进一步质疑了前人关于气候暖化可以促进高纬度海区藻华年生产力的判断。
- 纬向变化与年际变化 /
- 春华峰期 /
- 浮游植物物候 /
- 东亚边缘海 /
- 气候变化
Abstract: Combined studies of latitudinal and interannual variations of annual phytoplankton bloom peak in East Asian marginal seas (17°-58°N, including the northern South China Sea (SCS), Kuroshio waters, the Sea of Japan and the Okhotsk Sea) are rarely. Based on satellite-retrieved ten-year (2003-2012) median timing of the annual Chlorophyll a concentration (Chl a) climax, here we report that this annual spring bloom peak generally delays from the SCS in January to the Okhotsk Sea in June at a rate of (21.20±2.86) km/d (decadal median±SD). Spring bloom is dominant feature of the phytoplankton annual cycle over these regions, except for the SCS which features winter bloom. The fluctuation of the annual peak timing is mainly within ±48 d departured from the decadal median peak date, therefore this period (the decadal median peak date ±48 d) is defined as annual spring bloom period. As sea surface temperature rises, earlier spring bloom peak timing but decreasing averaged Chl a biomass in the spring bloom period due to insufficient light is evident in the Okhotsk Sea from 2003 to 2012. For the rest of three study domains, there are no significant interannual variance trend of the peak timing and the averaged Chl a biomass. Furthermore this change of spring phytoplankton bloom timing and magnitude in the Okhotsk Sea challenges previous prediction that ocean warming would enhance algal productivity at high latitudes.
- latitudinal and interannual variation /
- spring bloom peak /
- phytoplankton phenology /
- East Asian marginal seas /
- climate change

HTML全文

参考文献(25)

Chiba S, Aita M N, Tadokoro K, et al. 2008. From climate regime shifts to lower-trophic level phenology:Synthesis of recent progress in retrospective studies of the western North Pacific. Progress in Oceanography, 77(2-3):112-126

Doney S C. 2006. Plankton in a warmer world. Nature, 444(7120):695-696

Edwards M, Richardson A J. 2004. Impact of climate change on mar-ine pelagic phenology and trophic mismatch. Nature, 430(7002):881-884

Esaias W E. 1981. Remote sensing in biological oceanography. Oceanus, 24(3):32-38

Field C B, Behrenfeld M J, Randerson J T, et al. 1998. Primary produc-tion of the biosphere:integrating terrestrial and oceanic com-ponents. Science, 281(5374):237-240

Frouin R, Pinker R T. 1995. Estimating Photosynthetically Active Ra-diation (PAR) at the earth's surface from satellite observations. Remote Sensing of Environment, 51(1):98-107

González Taboada F, Anadón R. 2014. Seasonality of North Atlantic phytoplankton from space:impact of environmental forcing on a changing phenology (1998-2012). Global Change Biology, 20(3):698-712

Hama T, Shin K H, Handa N. 1997. Spatial variability in the primary productivity in the East China Sea and its adjacent waters. Journal of Oceanography, 53(1):41-51

Kahru M, Brotas V, Manzano-Sarabia M, et al. 2011. Are phytoplank-ton blooms occurring earlier in the Arctic?. Global Change Bio-logy, 17(4):1733-1739

Kim S T. 2012. A review of the Sea of Okhotsk ecosystem response to the climate with special emphasis on fish populations. ICES Journal of Marine Science, 69(7):1123-1133

Koeller P, Fuentes-Yaco C, Platt T, et al. 2009. Basin-scale coherence in phenology of shrimps and phytoplankton in the North At-lantic Ocean. Science, 324(5928):791-793

Longhurst A. 1995. Seasonal cycles of pelagic production and con-sumption. Progress in Oceanography, 36(2):77-167

McClain R, Meister C. 2012. Mission Requirements for Future Ocean-Colour Sensors. IOCCG Report, 13:7-8

Mustapha M A, Saitoh S. 2008. Observations of sea ice interannual variations and spring bloom occurrences at the Japanese scal-lop farming area in the Okhotsk Sea using satellite imageries. Estuarine, Coastal and Shelf Science, 77(4):577-588

Platt T, Sathyendranath S, White G N, et al. 2010. Diagnostic proper-ties of phytoplankton time series from remote sensing. Estuar-ies and Coasts, 33(2):428-439

Racault M F, Le Quéré C, Buitenhuis E, et al. 2012. Phytoplankton phenology in the global ocean. Ecological Indicators, 14(1):152-163

Saitoh S, Iida T, Sasaoka K. 2002. A description of temporal and spa-tial variability in the Bering Sea spring phytoplankton blooms (1997-1999) using satellite multi-sensor remote sensing. Pro-gress in Oceanography, 55(1-2):131-146

Schwartz M D. 1998. Green-wave phenology. Nature, 394(6696):839-840

Sherman K, Hempel G. 2009. The UNEP Large Marine Ecosystem Re-port:A perspective on changing conditions in LMEs of the world's Regional Seas. UNEP Regional Seas Report and Studies No. 182. United Nations Environment Programme. Nairobi, Kenya:Elsevier Science BV

Siegel D A, Doney S C, Yoder J A. 2002. The North Atlantic spring phytoplankton bloom and Sverdrup's critical depth hypothesis. Science, 296(5568):730-733

Sugisaki H, Hidaka K, Ichikawa T, et al. 2011. Long-term variation of plankton community of Kuroshio warm current area, the spawning ground of Japanese sardine. http://www.pices.int/publications/Sugisaki.pdf[2011-10-23/2015-3-18]

Tang D L, Ni I H, Kester D R, et al. 1999. Remote sensing observations of winter phytoplankton blooms southwest of the Luzon Strait in the South China Sea. Marine Ecology Progress Series, 191:43-51

Yamada K, Ishizaka J, Nagata H. 2005. Spatial and temporal variabil-ity of satellite primary production in the Japan Sea from 1998 to 2002. Journal of Oceanography, 61(5):857-869

Yoder J A, Kennelly M A. 2003. Seasonal and ENSO variability in glob-al ocean phytoplankton chlorophyll derived from 4 years of SeaWiFS measurements. Global Biogeochemical Cycles, 17(4):1112

Zhai L, Platt T, Tang C, et al. 2011. Phytoplankton phenology on the Scotian Shelf. ICES Journal of Marine Science, 68(4):781-791

施引文献

资源附件(0)

访问统计

点击查看大图

计量

文章访问数: 1006
HTML全文浏览量: 51
PDF下载量: 499
被引次数: 0

东亚边缘海区浮游植物春华的纬向与年际变化

doi: 10.1007/s13131-016-0867-0

计量

出版历程

Latitudinal and interannual variations of the spring phytoplankton bloom peak in the East Asian marginal seas

计量

出版历程

目录