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| 中国近海初级生产力的遥感研究及其时空演化 | |
| 引用本文： | 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. |
| 作者姓名： | 檀赛春 石广玉 |
| 作者单位： | 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;中国科学院研究生院,北京,100039 2. 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 |
| 基金项目： | 国家自然科学基金;风云三号卫星应用系统工程研发项目 |
| 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100.09gCm-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400mgCm-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。 |
| 关 键 词： | 中国近海 海洋初级生产力 时空变化 叶绿素-a 环境因子 |
| 收稿时间： | 2006-05-31 |
| 修稿时间： | 2006-07-17 |
Remote Sensing for Ocean Primary Productivity and Its Spatio-temporal Variability in the China Seas |
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| TAN Saichun,SHI Guangyu.Remote Sensing for Ocean Primary Productivity and Its Spatio-temporal Variability in the China Seas[J].Acta Geographica Sinica,2006,61(11):1189-1199. | |
| Authors: | TAN Saichun SHI Guangyu |
| Institution: | 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 |
| 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. |
| Keywords: | China seas ocean primary productivity spatio-temporal variability chlorophyll-a physiochemical environmental factors |
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