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Spatiotemporal variability of hydrocarbons in surface sediments from an intensively human-impacted Xiaoqing River-Laizhou Bay system in the eastern China: Occurrence, compositional profile and source apportionment 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 645, 页码: 1172-1182
作者:  He, Ding;  Zhang, Kai;  Cui, Xingqian;  Tang, Jianhui;  Sun, Yongge
浏览  |  Adobe PDF(2500Kb)  |  收藏  |  浏览/下载：553/269  |  提交时间：2020/07/08
River-estuary system  Laizhou Bay  Sedimentary hydrocarbons  Spatiotemporal variability  Source apportionment  
Geochemistry of organic carbon in surface sediments of a summer hypoxic region in the coastal waters of northern Shandong Peninsula 期刊论文
CONTINENTAL SHELF RESEARCH, 2018, 卷号: 171, 页码: 113-125
作者:  Yang, Bo;  Gao, Xuelu;  Xing, Qianguo
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Sediment analysis  Sedimentary organic matter  Stable carbon and nitrogen isotopes  Coastal environment  Spatiotemporal distribution  Shelf sea  
Response of net primary productivity to precipitation exclusion in a savanna ecosystem 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2018, 卷号: 429, 页码: 69-76
作者:  Jin, Yanqiang;  Li, Jing;  Liu, Chenggang;  Liu, Yuntong;  Zhang, Yiping;  Song, Qinghai;  Sha, Liqing;  Chen, Aiguo;  Yang, Daxin;  Li, Peiguang
Adobe PDF(1279Kb)  |  收藏  |  浏览/下载：503/107  |  提交时间：2020/07/08
Carbon accumulation  Drought  Litterfall  Plant functional types  Savanna  
Increased seasonality and aridity drove the C4 plant expansion in Central Asia since the Miocene-Pliocene boundary 期刊论文
EARTH AND PLANETARY SCIENCE LETTERS, 2018, 卷号: 502, 页码: 74-83
作者:  Shen, Xingyan;  Wan, Shiming;  Colin, Christophe;  Tada, Ryuji;  Shi, Xuefa;  Pei, Wenqiang;  Tan, Yang;  Jiang, Xuejun;  Li, Anchun
Adobe PDF(3133Kb)  |  收藏  |  浏览/下载：320/118  |  提交时间：2020/07/08
C4 plant expansion  westerlies  black carbon  Central Asia  Japan Sea  Miocene-Pliocene  
Flux and source-sink relationship of heavy metals and arsenic in the Bohai Sea, China 期刊论文
ENVIRONMENTAL POLLUTION, 2018, 卷号: 242, 期号: B, 页码: 1353-1361
作者:  Liang, Xiaoxue;  Tian, Chongguo;  Zong, Zheng;  Wang, Xiaoping;  Jiang, Wanyanhan;  Chen, Yingjun;  Ma, Jianmin;  Luo, Yongming;  Li, Jun;  Zhang, Gan
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Source-sink relationship  Heavy metals  Arsenic  Water exchange  Bohai sea  North Yellow sea  
Spatio-temporal patterns of Ulva prolifera blooms and the corresponding influence on chlorophyll-a concentration in the Southern Yellow Sea, China 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 640, 页码: 807-820
作者:  Sun, Xiao;  Wu, Mengquan;  Xing, Qianguo;  Song, Xiaodong;  Zhao, Deheng;  Han, Qianqian;  Zhang, Guangzong
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Southern Yellow Sea  MODIS  HJ-1 CCD  GOCI  Viva prolifera  Chlorophyll-a concentration  Phytoplankton  
Specific genetic variation in two non-motile substrains of the model cyanobacterium Synechocystis sp. PCC 6803 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2018, 卷号: 36, 期号: 6 SI, 页码: 2322-2332
作者:  Chen Jun;  Shi Wenjun;  Li Wenjun;  Chen Gao;  Qin Song
Adobe PDF(279Kb)  |  收藏  |  浏览/下载：287/75  |  提交时间：2020/07/08
Synechocystis sp. PCC 6803  genome resequencing  non-motile  genetic background  
Ocean fronts construct spatial zonation in microfossil assemblages 期刊论文
GLOBAL ECOLOGY AND BIOGEOGRAPHY, 2018, 卷号: 27, 期号: 10, 页码: 1225-1237
作者:  Liu, Dongyan;  Wang, Yanna;  Wang, Yueqi;  Keesing, John K.
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Chinese seas  continental shelf  cyst  diatom  marine sediment  mesoscale fronts  palaeoecology  remote sensing  two-way indicator species analysis  
Using fecal sterols to assess dynamics of sewage input in sediments along a human-impacted river-estuary system in eastern China 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 636, 页码: 787-797
作者:  He, Ding;  Zhang, Kai;  Tang, Jianhui;  Cui, Xingqian;  Sun, Yongge
浏览  |  Adobe PDF(2427Kb)  |  收藏  |  浏览/下载：677/331  |  提交时间：2020/07/08
Fecal sterols  Sewage contamination  Biomarkers  Stable carbon isotopes  River-estuary system  
基于GOCI的2017年南黄海浒苔演变遥感分析 期刊论文
海洋与湖沼, 2018, 卷号: 49, 期号: 05, 页码: 1068-1074
作者:  宋德彬;  高志强;  徐福祥;  艾金泉;  宁吉才;  尚伟涛;  姜晓鹏
浏览  |  Adobe PDF(750Kb)  |  收藏  |  浏览/下载：565/258  |  提交时间：2020/07/08
GOCI  浒苔  南黄海  遥感  GOCI  ulva prolifera  the south Yellow Sea  remote sensing