Impact of the Kuroshio intrusion on the nutrient inventory in the upper northern South China Sea: insights from an isopycnal mixing model | |
Du, C.1; Liu, Z.1; Dai, M.1; Kao, S. -J.1; Cao, Z.1; Zhang, Y.2; Huang, T.1; Wang, L.1; Li, Y.1 | |
刊名 | BIOGEOSCIENCES |
2013 | |
卷号 | 10期号:10页码:6419-6432 |
关键词 | SEASONAL DYNAMICS UPPER-LAYER CIRCULATION OCEAN WATER PHYTOPLANKTON PHOSPHORUS EXCHANGE BUDGETS STATION |
ISSN号 | 1726-4170 |
通讯作者 | Dai, M (reprint author), Xiamen Univ, State Key Lab Marine Environm Sci, Xiamen 361005, Peoples R China. mdai@xmu.edu.cn |
产权排序 | [Du, C.; Liu, Z.; Dai, M.; Kao, S. -J.; Cao, Z.; Huang, T.; Wang, L.; Li, Y.] Xiamen Univ, State Key Lab Marine Environm Sci, Xiamen 361005, Peoples R China; [Zhang, Y.] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Proc, Yantai 264003, Peoples R China |
中文摘要 | Based on four cruises covering a seasonal cycle in 2009-2011, we examined the impact of the Kuroshio intrusion, featured by extremely oligotrophic waters, on the nutrient inventory in the central northern South China Sea (NSCS). The nutrient inventory in the upper 100m of the water column in the study area ranged from similar to 200 to similar to 290 mmol m(-2) for N+N (nitrate plus nitrite), from similar to 13 to similar to 24 mmol m(-2) for soluble reactive phosphate and from similar to 210 to similar to 430 mmol m(-2) for silicic acid. The nutrient inventory showed a clear seasonal pattern with the highest value appearing in summer, while the N+N inventory in spring and winter had a reduction of similar to 13 and similar to 30 %, respectively, relative to that in summer. To quantify the extent of the Kuroshio intrusion, an isopycnal mixing model was adopted to derive the proportional contribution of water masses from the SCS proper and the Kuroshio along individual isopycnal surfaces. The derived mixing ratio along the isopycnal plane was then employed to predict the genuine gradients of nutrients under the assumption of no biogeochemical alteration. These predicted nutrient concentrations, denoted as N-m, are solely determined by water mass mixing. Results showed that the nutrient inventory in the upper 100m of the NSCS was overall negatively correlated to the Kuroshio water fraction, suggesting that the Kuroshio intrusion significantly influenced the nutrient distribution in the SCS and its seasonal variation. The difference between the observed nutrient concentrations and their corresponding Nm allowed us to further quantify the nutrient removal/addition associated with the biogeochemical processes on top of the water mass mixing. We revealed that the nutrients in the upper 100m of the water column had a net consumption in both winter and spring but a net addition in fall. |
英文摘要 | Based on four cruises covering a seasonal cycle in 2009-2011, we examined the impact of the Kuroshio intrusion, featured by extremely oligotrophic waters, on the nutrient inventory in the central northern South China Sea (NSCS). The nutrient inventory in the upper 100m of the water column in the study area ranged from similar to 200 to similar to 290 mmol m(-2) for N+N (nitrate plus nitrite), from similar to 13 to similar to 24 mmol m(-2) for soluble reactive phosphate and from similar to 210 to similar to 430 mmol m(-2) for silicic acid. The nutrient inventory showed a clear seasonal pattern with the highest value appearing in summer, while the N+N inventory in spring and winter had a reduction of similar to 13 and similar to 30 %, respectively, relative to that in summer. To quantify the extent of the Kuroshio intrusion, an isopycnal mixing model was adopted to derive the proportional contribution of water masses from the SCS proper and the Kuroshio along individual isopycnal surfaces. The derived mixing ratio along the isopycnal plane was then employed to predict the genuine gradients of nutrients under the assumption of no biogeochemical alteration. These predicted nutrient concentrations, denoted as N-m, are solely determined by water mass mixing. Results showed that the nutrient inventory in the upper 100m of the NSCS was overall negatively correlated to the Kuroshio water fraction, suggesting that the Kuroshio intrusion significantly influenced the nutrient distribution in the SCS and its seasonal variation. The difference between the observed nutrient concentrations and their corresponding Nm allowed us to further quantify the nutrient removal/addition associated with the biogeochemical processes on top of the water mass mixing. We revealed that the nutrients in the upper 100m of the water column had a net consumption in both winter and spring but a net addition in fall. |
学科主题 | Ecology ; Geosciences, Multidisciplinary |
研究领域[WOS] | Environmental Sciences & Ecology ; Geology |
关键词[WOS] | SEASONAL DYNAMICS ; UPPER-LAYER ; CIRCULATION ; OCEAN ; WATER ; PHYTOPLANKTON ; PHOSPHORUS ; EXCHANGE ; BUDGETS ; STATION |
收录类别 | SCI |
资助信息 | National Basic Research Program of China (973 Program) [2009CB421200]; National Natural Science Foundation of China [41130857, 41121091, 41023007] |
原文出处 | http://dx.doi.org/10.5194/bg-10-6419-2013 |
语种 | 英语 |
WOS记录号 | WOS:000326470500017 |
公开日期 | 2014-07-08 |
内容类型 | 期刊论文 |
源URL | [http://ir.yic.ac.cn/handle/133337/6990] |
专题 | 烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室 烟台海岸带研究所_近岸生态与环境实验室 中国科学院烟台海岸带研究所 |
作者单位 | 1.Xiamen Univ, State Key Lab Marine Environm Sci, Xiamen 361005, Peoples R China 2.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Proc, Yantai 264003, Peoples R China |
推荐引用方式 GB/T 7714 | Du, C.,Liu, Z.,Dai, M.,et al. Impact of the Kuroshio intrusion on the nutrient inventory in the upper northern South China Sea: insights from an isopycnal mixing model[J]. BIOGEOSCIENCES,2013,10(10):6419-6432. |
APA | Du, C..,Liu, Z..,Dai, M..,Kao, S. -J..,Cao, Z..,...&Li, Y..(2013).Impact of the Kuroshio intrusion on the nutrient inventory in the upper northern South China Sea: insights from an isopycnal mixing model.BIOGEOSCIENCES,10(10),6419-6432. |
MLA | Du, C.,et al."Impact of the Kuroshio intrusion on the nutrient inventory in the upper northern South China Sea: insights from an isopycnal mixing model".BIOGEOSCIENCES 10.10(2013):6419-6432. |
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