Quantile Analysis of Long-Term Trends of Near-Surface Chlorophyll-ain the Pearl River Plume
文献类型:期刊论文
作者 | Gao, Na1; Ma, Yi; Zhao, Mingli; Zhang, Li1,4,5; Zhan, Haigang3,5; Cai, Shuqun3,4,5; He, Qingyou3,5 |
刊名 | WATER
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出版日期 | 2020 |
卷号 | 12期号:6页码:1662 |
关键词 | near-surface chlorophyll-a quantile regression quantile trend Pearl River Plume northern South China Sea |
DOI | 10.3390/w12061662 |
英文摘要 | The concentration of chlorophyll-a(CHL) is an important proxy for the amount of phytoplankton biomass in the ocean. Characterizing the variability of CHL in the Pearl River Plume (PRP) is therefore of great importance for the understanding of the changes in oceanic productivity in the coastal region. By applying quantile regression analysis on 21-year (1998-2018) near-surface CHL data from satellite observations, this study investigated the long-term trend of CHL in the PRP. The results show decreasing trends (at an order of 10(-2)mg m(-3)year(-1)) for all percentiles of the CHL in the PRP, suggesting a decrease in productivity in the past two decades. The trends differ fundamentally from those in the open regions of the northern South China Sea with mixed signs and small magnitudes (10(-4)mg m(-3)year(-1)). The magnitudes of the trends in high quantiles (>80th) are larger than those in low quantiles (<50th) in the PRP, indicative of a decrease in the variance of the CHL. The area with apparent decreasing trends is restricted to the PRP in summer and extends to the entire coastal region in winter. This decrease in CHL is possibly attributed to the decrease in nutrient input from the river runoff and the weakening of wind-forced mixing rather than the changes in sea surface temperature. This study extends our knowledge on the variability of CHL in the PRP and provides references to the investigation of the changes of the coastal ecological environment. |
资助机构 | National Key R&D Program of China [2017YFC1405306, 2017YFC1405303, 2017YFC1405303-5]; National Natural Science Foundation of China (NSFC)National Natural Science Foundation of China (NSFC) [41890851, 41876205, 41906026]; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) [GML2019ZD0302, GML2019ZD0304, GML2019ZD0305]; Natural Science Foundation of GuangdongNational Natural Science Foundation of Guangdong Province [2018A0303100002]; National Postdoctoral Program for Innovative Talents [BX201700303]; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2018M631000]; Project of State Key Laboratory of Tropical Oceanography [LTOZZ1801, LTOZZ1803]; Department of natural resources of Guangdong Province [(2020)017] ; National Key R&D Program of China [2017YFC1405306, 2017YFC1405303, 2017YFC1405303-5]; National Natural Science Foundation of China (NSFC)National Natural Science Foundation of China (NSFC) [41890851, 41876205, 41906026]; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) [GML2019ZD0302, GML2019ZD0304, GML2019ZD0305]; Natural Science Foundation of GuangdongNational Natural Science Foundation of Guangdong Province [2018A0303100002]; National Postdoctoral Program for Innovative Talents [BX201700303]; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2018M631000]; Project of State Key Laboratory of Tropical Oceanography [LTOZZ1801, LTOZZ1803]; Department of natural resources of Guangdong Province [(2020)017] |
源URL | [http://ir.scsio.ac.cn/handle/344004/18405] ![]() |
专题 | 南海海洋研究所_中科院海洋生物资源可持续利用重点实验室 |
作者单位 | 1.State Ocean Adm, South China Sea Inst Planning & Environm Res, Guangzhou 510310, Peoples R China 2.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Peoples R China 3.Chinese Acad Sci, Innovat Acad South China Sea Ecol & Environm Engn, Guangzhou 510301, Peoples R China 4.Southern Marine Sci & Engn Guangdong Lab Guangzho, Guangzhou 511458, Peoples R China 5.Chinese Acad Sci, South China Sea Inst Oceanol, Key Lab Trop Marine Bioresources & Ecol, Guangdong Prov Key Lab Appl Marine Biol, Guangzhou 510301, Peoples R China |
推荐引用方式 GB/T 7714 | Gao, Na,Ma, Yi,Zhao, Mingli,et al. Quantile Analysis of Long-Term Trends of Near-Surface Chlorophyll-ain the Pearl River Plume[J]. WATER,2020,12(6):1662. |
APA | Gao, Na.,Ma, Yi.,Zhao, Mingli.,Zhang, Li.,Zhan, Haigang.,...&He, Qingyou.(2020).Quantile Analysis of Long-Term Trends of Near-Surface Chlorophyll-ain the Pearl River Plume.WATER,12(6),1662. |
MLA | Gao, Na,et al."Quantile Analysis of Long-Term Trends of Near-Surface Chlorophyll-ain the Pearl River Plume".WATER 12.6(2020):1662. |
入库方式: OAI收割
来源:南海海洋研究所
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