环境演变

中国近海初级生产力的遥感研究及其时空演化

展开
  • 1. 中国科学院大气物理研究所,大气科学和地球流体力学数值模拟国家重点实验室,北京 100029;
    2. 中国科学院研究生院,北京 100039
檀赛春 (1980-), 女, 安徽东至人, 博士研究生, 主要从事大气和海洋辐射传输及遥感研究。E-mail: sctan@post.iap.ac.cn

收稿日期: 2006-05-31

  修回日期: 2006-07-17

  网络出版日期: 2006-11-25

基金资助

国家自然科学基金项目(40490260); 风云三号卫星应用系统工程研发项目

Remote Sensing for Ocean Primary Productivity and Its Spatio-temporal Variability in the China Seas

Expand
  • 1. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, CAS, Beijing 100029, China;
    2. Graduate School of the Chinese Academy of Sciences, Beijing 100039, China

Received date: 2006-05-31

  Revised date: 2006-07-17

  Online published: 2006-11-25

Supported by

National Natural Science Foundation of China, No.40490260; Research and Development Project for the Applied System Engineering of Fengyun-III Meteorological Satellite

摘要

利用分级初级生产力模式反演估算了2003~2005年0o~41oN,105o~130oE海域的初级生产力,并分析了它们的时空演化。同时还计算了该时段内渤海、北黄海和南黄海、东海北部和南部以及南海的平均初级生产力状况,结果得出它们的年平均初级生产力 (2003~2005年) 分别为564.39、363.08、536.47、413.88、195.77和100.09 gCm-2a-1。北黄海、南黄海及东海南部的初级生产力分别在春季 (4~6月) 和秋季 (10、11月) 出现两次峰值,且春季的峰值高于秋季。然而,南海的两个峰值则分别出现在冬季 (1月)和夏季 (8月),且冬季的峰值高于夏季。渤海和东海北部则呈现单峰 (6月) 分布。渤海和南黄海的初级生产力几乎在整年内都高于其它海域,而东海南部和南海的初级生产力则在整年内都低于其他海域。其中,南海的初级生产力最低,月平均全都低于400 mgCm-2d-1。除南海以外的其它5个海域,在春季时期 (东海南部为3~6月,其他海域为4~7月) 的初级生产力最高,平均约占年平均值的41%,其年际变化也最大,平均标准偏差为6.68;而秋季时期 (东海南部为10~1月,其他海域为8~11月) 对年平均的贡献也很大,平均约33%;其他月份 (东海南部为2月和7-9月,其他海域为12~3月) 的贡献则最小。南海的初级生产力则在冬季时期 (12~3月) 最高,约占年平均的42%,夏末秋季 (8~11月) 次之,约30%,春季时期 (4~7月) 最低。叶绿素-a、海表温度、光合有效辐射、季风活动、河流排放、上升流、黑潮以及沿岸流等物理-化学环境因子是造成中国近海初级生产力时空演化的主要原因。

本文引用格式

檀赛春,石广玉 . 中国近海初级生产力的遥感研究及其时空演化[J]. 地理学报, 2006 , 61(11) : 1189 -1199 . DOI: 10.11821/xb200611008

Abstract

The spatial and temporal variability of ocean primary productivity in the China seas from 2003 to 2005 was estimated by size-fractionated primary productivity model. Satellite primary productivity showed spatial and temporal variability. Annual averaged primary productivity levels were 564.39, 363.08, 536.47, 413.88, 195.77 and 100.09 gCm-2a-1 at the Bohai Sea, the northern Yellow Sea (YS), the southern YS, the northern East China Sea (ECS), the southern ECS, and the South China Sea (SCS), respectively. Peaks of primary productivity appeared twice, in spring (April to June) and fall (October and November), in the northern YS, southern YS and southern ECS, while a single peak (June) appeared in the Bohai Sea and northern ECS. Two peaks of primary productivity also appeared in the SCS, one was in winter (January) and the other in summer (August), and the peak in winter was far higher than that in summer. The monthly averaged primary productivity from 2003 to 2005 in the Bohai Sea and southern YS was higher than that in the other four areas during most months, while that in the southern ECS and SCS was lower than that in the other four areas the whole year. The primary productivity during spring period (March to June in the southern ECS and April to July in the other five sea areas) contributed about 41% on average to the annual primary productivity in the above five areas except SCS. Furthermore, satellite primary productivity during that period showed an interannual variability that was also the largest, and the averaged standard deviation was 6.68. Meanwhile, the contribution during fall period (October to January in the southern ECS and August to November in other sea areas) was about 33% on average; and the primary productivity during this period also showed an interannual variability. However, in SCS, the contribution during winter period (December to March) was the highest (about 42%), while that during spring period (April to July) was the lowest (28%). But SCS and the other five areas have one thing in common: the larger the contribution, the larger the interannual variability.

参考文献


[1] Walsh I, Dymond J, Collier R. Rates of recycling of biogenic components of settling particles in the ocean derived from sediment trap experiments. Deep Sea Research, 1988, 35: 43-58.

[2] Chen Feizhou, Shen Guoying, Huang Yipu et al. Time-series study of primary production and related parameters at station "Shangyu" in Xiamen Bay. Journal of Oceanography in Taiwan Strait, 1999, 18(1): 33-41.
[陈飞舟, 沈国英, 黄奕普 等. 厦门湾上屿附近海域初级生产力及相关要素的时间系列. 台湾海峡, 1999, 18(1): 33-41.]

[3] Lu Peiding, Fei Zunle, Mao Xinghua et al. Distribution of chlorophyll-a and estimation of primary productivity in the Bohai Sea. Acta Oceanologica Sinica, 1984, 6(1): 90-98.
[吕培顶, 费尊乐, 毛兴华 等. 渤海水域叶绿素a的分布及初级生产力的估算. 海洋学报(中文版), 1984, 6(1): 90-98.]

[4] Ning Xiuren, Liu Zilin, Shi Junxian. Primary productivity and evaluation of fishery in the Bohai Sea, the Yellow Sea and the East China Sea. Acta Oceanologica Sinica, 1995, 17(3): 72-84.
[宁修仁, 刘子琳, 史君贤. 渤、黄、东海初级生产力和潜在渔业生产量的评估. 海洋学报(中文版), 1995, 17(3): 72- 4.]

[5] Zhu Mingyuan, Mao Xinghua, Lu Ruihua et al. Chlorophyll a and primary productivity in the Yellow Sea. Journal of Oceanography of Huanghai & Bohai Seas, 1993, 11(3): 38-51.
[朱明远, 毛兴华, 吕瑞华 等. 黄海海区的叶绿素a和初级生产力. 黄渤海海洋, 1993, 11(3): 38-51.]

[6] Li Guosheng, Shao Yubin. Remote sensing of oceanic primary productivity and its GIS estimation model. Acta Geographica Sinica, 1998, 53(6): 546-553.
[李国胜, 邵宇宾. 海洋初级生产力遥感与GIS评估模型研究. 地理学报, 1998, 53(6): 546-553.]

[7] Shang Shaoling, Hong Huasheng. Ocean primary production model and algorithms for remote sensing. Journal of Xiamen University (Natural Science), 2001, 40(3): 647-652.
[商少凌, 洪华生. 海洋初级生产力模式与遥感应用研究进展. 厦门大学学报 (自然科学版), 2001, 40(3): 647-652.]

[8] Shao Yubin, Li Guosheng. Application of remote sensing and GIS to oceanic primary productivity researches. Acta Geographica Sinica, 1995, 50(suppl.): 119-125.
[邵宇宾, 李国胜. 遥感与地理信息系统在海洋初级生产力研究中的应用. 地理学报, 1995, 50(增刊): 119-125.]

[9] Tan Saichun, Shi Guangyu. Satellite remote sensing for oceanic primary productivity. Advances in Earth Science, 2005, 20(8): 863-870.
[檀赛春, 石广玉. 海洋初级生产力的卫星遥感. 地球科学进展, 2005, 20(8): 863-870.]

[10] Wu Peizhong. Satellite measuring for ocean primary productivity. Remote Sensing for Land & Resources, 2000, (3): 7-15.
[吴培中. 海洋初级生产力的卫星探测. 国土资源遥感, 2000, (3): 7-15.]

[11] Zou Yarong, Ma Chaofei, Shao Yan. Research progress of ocean primary productivity by remote sensing. Remote Sensing Information, 2005, (2): 58-61.
[邹亚荣, 马超飞, 邵岩. 遥感海洋初级生产力的研究进展. 遥感信息, 2005, (2): 58-61.]

[12] Guan Wenjiang, He Xianqiang, Pan Delu et al. Estimation of ocean primary productivity by remote sensing for the Bohai Sea, the Yellow Sea and the East China Sea. Journal of Fisheries of China, 2005, 29(3): 367-372.
[官文江, 何贤强, 潘德炉 等. 渤、黄、东海海洋初级生产力的遥感估算. 水产学报, 2005, 29(3): 367-372.]

[13] Li Guosheng, Wang Fang, Liang Qiang et al. Estimation of ocean primary productivity by remote sensing and introduction to spatio-temporal variation mechanism for the East China Sea. Acta Geographica Sinica, 2003, 58(4): 483-493.
[李国胜, 王芳, 梁强 等. 东海初级生产力遥感反演及其时空演化机制. 地理学报, 2003, 58(4): 483-493.]

[14] Antoine D, Morel A. Oceanic primary production: I. adaptation of a spectral light-photosynthesis model in view of application to satellite chlorophyll observations. Global Biogeochemical Cycles, 1996, 10(1): 43-55.

[15] Antoine D, Andre J M, Morel A. Oceanic primary production: II. estimation at global scale from satellite (coastal zone color scanner) chlorophyll. Global Biogeochemical Cycles, 1996, 10(1): 57-69.

[16] Behrenfeld M J, Falkowski P G. Photosynthetic rates derived from satellite-based chlorophyll concentration. Limnology and Oceanography, 1997, 42(7): 1-20.

[17] Gong G C, Liu G J. An empirical primary production model for the East China Sea. Continental Shelf Research, 2003, 23(2): 213-224.

[18] Kameda T. Studies on oceanic primary production using ocean color remote sensing data. Bulletin of Fisheries Research Agency, 2003, (9): 118-148.

[19] Kameda T, Ishizaka J. Size-fractionated primary production estimated by a two-phytoplankton community model applicable to ocean color remote sensing. Journal of Oceanography, 2005, 61(4): 663-672.

[20] Platt T, Caverhill C, Sathyendranath S. Basin-scale estimates of oceanic primary production by remote sensing: the North Atlantic. Journal of Geophysical Research, 1991, 96(C8): 15147-15159.

[21] Platt T, Sathyendranath S. Oceanic primary production: estimation by remote sensing at local and regional scales. Science, 1988, 241: 1613-1620.

[22] Behrenfeld M J, Mara?ón E, Siegel D A et al. A photoacclimation and nutrient based model of light-saturated photosynthesis for quantifying oceanic primary production. Marine Ecology Progress Series, 2002, 228: 103-117.

[23] Campbell J W, Antoine D, Armstrong R et al. Comparison of algorithms for estimating ocean primary productivity from surface chlorophyll, temperature, and irradiance. Global Biogeochemical Cycles, 2002, 16(3): 1-15.

[24] Siegel D A, Westberry T K, O'Brien M C et al. Bio-optical modeling of primary production on regional scales: the Bermuda Bio-Optics project. Deep Sea Research Part II, 2001, 48: 1865-1896.

[25] Carr M E, Friedrichs M A M, Schmeltz M, et al. A comparison of global estimates of marine primary production from ocean color. Deep Sea Research Part II: Topical Studies in Oceanography, 2006, 53(5-7): 741-770.

[26] Morel A, Berthon J F. Surface pigments, algal biomass profiles, and potential production of the euphotic layer: relationships reinvestigated in view of remote-sensing applications. Limnology and Oceanography, 1989, 34(8): 1545-1562.

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

[28] Hur H B, Jacobs G A, Teague W J. Monthly variations of water masses in the Yellow and East China seas. Journal of Oceanography, 1999, 55(2): 171-184.

[29] Tang D L, Di B P, Wei G F et al. Spatial, seasonal and species variations of harmful algal blooms in the South Yellow Sea and East China Sea. Hydrobiologia, 2006, 568(1): 245-253.

[30] Zhao Qian, Tian Jiwei, Zhao Shilan et al. Winter and summer chlorophyll a and nutrient distribution and characteristics in the Bohai Sea. Marine Science, 2004, 28(4): 34-39.
[赵骞, 田纪伟, 赵仕兰 等. 渤海冬夏季营养盐和叶绿素a的分布特征. 海洋科学, 2004, 28(4): 34-39.]

[31] Zhao Hui, Qi Yiquan, Wang Dongxiao et al. Study on the features of chlorophyll-a derived from SeaWiFS in the South China Sea. Acta Oceanologica Sinica, 2005, 27(4): 45-52.
[赵辉, 齐义泉, 王东晓 等. 南海叶绿素浓度季节变化及空间分布特征研究. 海洋学报 (中文版), 2005, 27(4): 45-52.]

[32] Yu Fei, Zang Jiaye, Guo Binghuo et al. Some phenomena of the Kuroshio intrusion into shelf area and the shelf circulation of the East China Sea. Advances in Marine Science, 2002, 20(3): 21-28.
[于非, 臧家业, 郭炳火 等. 黑潮水入侵东海陆架及陆架环流的若干现象. 海洋科学进展, 2002, 20(3): 21-28.]

[33] Lie H J, Cho C H. On the origin of the Tsushima Warm Current. Journal of Geophysical Research, 1994, 99(C12): 25081-25092.

[34] Hsueh Y, Romea R D. Winter winds and coastal sea level fluctuations in the North East China Sea (Part II): Numerical modes. Journal of Physical Oceanography, 1986, 15: 241-261.

[35] Wu Boyu. Kuroshio and circulations in China seas. Journal of Oceanography in Taiwan Strait, 1991, 10(1): 25-32.
[伍伯瑜. 黑潮和中国近海环流. 台湾海峡, 1991, 10(1): 25-32.]

[36] Hu J Y, Kawamura H, Hong H S et al. A review on the currents in the South China Sea: seasonal circulation, South China Sea warm current and Kuroshio intrusion. Journal of Oceanography, 2000, 56(6): 607- 624.

文章导航

/