Experiments in optimizing simulations of the subsurface chlorophyll maximum in the South China Sea
Wang, Siying; Li, Shiyu; Hu, Jiatang; Geng, Bingxu; 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.
2016
发表期刊JOURNAL OF MARINE SYSTEMS
卷号156页码:2016-01-15
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.
部门归属[Wang, Siying; Li, Shiyu; Hu, Jiatang; Geng, Bingxu] Sun Yat Sen Univ, Sch Environm Sci & Engn, Guangdong Prov Key Lab Environm Pollut Control &, Guangzhou 510275, Guangdong, Peoples R China; [Geng, Bingxu] Chinese Acad Sci, South China Sea Inst Oceanog, Key Lab Trop Marine Environm Dynam, Guangzhou 510301, Guangdong, Peoples R China ; LTO
关键词Subsurface Chlorophyll Maximum Biological Model Resting Stages Aggregation Sinking Rate South China Sea
学科领域Geology ; Marine & Freshwater Biology ; Oceanography
文献类型期刊论文
条目标识符http://ir.scsio.ac.cn/handle/344004/15550
专题热带海洋环境国家重点实验室(LTO)
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.
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,&Li, SY .(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.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Experiments in optim(1714KB)期刊论文作者接受稿开放获取CC BY-NC-SA请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。