Experiments in optimizing simulations of the subsurface chlorophyll maximum in the South China Sea
文献类型：期刊论文
| 作者 | Wang, Siying; Li, Shiyu; Hu, Jiatang; Geng, Bingxu |
| 刊名 | JOURNAL OF MARINE SYSTEMS
 |
| 出版日期 | 2016 |
| 卷号 | 156页码:2016-01-15 |
| 关键词 | Subsurface chlorophyll maximum Biological model Resting stages Aggregation Sinking rate South China Sea |
| 通讯作者 | Li, SY (reprint author), Sun Yat Sen Univ, Sch Environm Sci & Engn, Guangdong Prov Key Lab Environm Pollut Control &, Guangzhou 510275, Guangdong, Peoples R China. |
| 中文摘要 | The subsurface chlorophyll maximum (SCM) is widespread in the oligotrophic ocean and significantly contributes to primary production. One reason for the SCM formation is believed to be the rapid export of phytoplankton from surface layers, which might be caused by aggregation, faster sinking rates under nutrient limitation, or the formation of a resting stage. In this study, these three processes were included in a biological model to investigate their contributions to subsurface chlorophyll. To further identify their individual effects on SCM formation, four modeling experiments were carried out. Three used a simple approach with either (a) density-dependent aggregation, (b) accelerated sinking rate of phytoplankton, or (c) a resting stage. The other experiment combined all three approaches (a-c). A set of observations in the South China Sea was used to optimize the four experiments and compare their abilities to replicate observed values. The results of the experiments with the resting stage showed the best fit to the field observations. All experiments were able to capture major features of the chlorophyll field (e.g. surface bloom and SCM). The experiment with accelerated sinking rate failed to reproduce the observed profile of particulate organic carbon. The experiment with only aggregation predicted lower chlorophyll concentrations in summer than those measured in the field, while experiments with the resting stage reproduced more accurate chlorophyll concentrations. Formulas including the resting stage more successfully captured the timing of phytoplankton export than did those including aggregation and accelerated sinking rate. The processes of aggregation and accelerated sinking rate made small contributions to the SCM formation in the last experiment Overall, these results show that introducing the resting stage improves SCM simulations of the South China Sea. The results of the experiment with only the resting stage showed that the resting cells shift rapidly from the surface water, encounter better nutrient conditions in nutricline layers, partially germinate into vegetative cells, become shade-adapted, and increase subsurface chlorophyll concentrations during summer, which contributes to SCM formation. (C) 2015 Elsevier B.V. All rights reserved. |
| 学科主题 | Geology; Marine & Freshwater Biology; Oceanography |
| 源URL | [http://ir.scsio.ac.cn/handle/344004/15550]  |
| 专题 | 南海海洋研究所_热带海洋环境国家重点实验室(LTO) |
| 推荐引用方式 GB/T 7714 | Wang, Siying,Li, Shiyu,Hu, Jiatang,et al. Experiments in optimizing simulations of the subsurface chlorophyll maximum in the South China Sea[J]. JOURNAL OF MARINE SYSTEMS,2016,156:2016-01-15. |
| APA | Wang, Siying,Li, Shiyu,Hu, Jiatang,&Geng, Bingxu.(2016).Experiments in optimizing simulations of the subsurface chlorophyll maximum in the South China Sea.JOURNAL OF MARINE SYSTEMS,156,2016-01-15. |
| MLA | Wang, Siying,et al."Experiments in optimizing simulations of the subsurface chlorophyll maximum in the South China Sea".JOURNAL OF MARINE SYSTEMS 156(2016):2016-01-15. |
入库方式： OAI收割
来源：南海海洋研究所
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