中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Analysis of environmental drivers influencing interspecific variations and associations among bloom-forming cyanobacteria in large, shallow eutrophic lakes

文献类型:期刊论文

作者Shan, Kun2,3; Song, Lirong1,3; Chen, Wei3; Li, Lin3; Liu, Liming3; Wu, Yanlong3; Jia, Yunlu3; Zhou, Qichao3; Peng, Liang3
刊名HARMFUL ALGAE
出版日期2019-04-01
卷号84页码:84-94
ISSN号1568-9883
关键词Cyanobacterial blooms Microcystis Dolichospermum Aphanizomenon Eutrophication Lake Taihu Lake Chaohu Lake Dianchi
DOI10.1016/j.hal.2019.02.002
通讯作者Shan, Kun(shankun@cigit.ac.cn) ; Song, Lirong(lrsong@ihb.ac.cn)
英文摘要Non-diazotrophic Microcystis and filamentous N-2-fixing Aphanizomenon and Dolichosperrnum (formerly Anabaena) co-occur or successively dominate freshwaters globally. Previous studies indicate that dual nitrogen (N) and phosphorus (P) reduction is needed to control cyanobacterial blooms; however, N limitation may cause replacement of non- N-2-fixing by N-2-fixing taxa. To evaluate potentially counterproductive scenarios, the effects of temperature, nutrients, and zooplankton on the spatio-temporal variations of cyanobacteria were investigated in three large, shallow eutrophic lakes in China. The results illustrate that the community composition of cyanobacteria is primarily driven by physical factors and the zooplankton community, and their interactions. Niche differentiation between Microcystis and two N-2-fixing taxa in Lake Taihu and Lake Chaohu was observed, whereas small temperature fluctuations in Lake Dianchi supported co-dominance. Through structural equation modelling, predictor variables were aggregated into 'composites' representing their combined effects on species-specific biomass. The model results showed that Microcystis biomass was affected by water temperature and P concentrations across the studied lakes. The biomass of two filamentous taxa, by contrast, exhibited lake-specific responses. Understanding of driving forces of the succession and competition among bloom-forming cyanobacteria will help to guide lake restoration in the context of climate warming and N:P stoichiometry imbalances.
资助项目National Natural Science Foundation of China[41561144008] ; National Natural Science Foundation of China[51609229] ; Chongqing Science and Technology Commission[cstc2017jcyjAX0241] ; National Key Scientific and Technological Project of China[2014ZX07104-006] ; National Basic Research Program of China[2008CB418006]
WOS研究方向Marine & Freshwater Biology
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000471087800010
源URL[http://119.78.100.138/handle/2HOD01W0/8194]  
专题大数据挖掘及应用中心
通讯作者Shan, Kun; Song, Lirong
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Big Data Min & Applicat Ctr, Chongqing 400714, Peoples R China
3.Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Hubei, Peoples R China
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GB/T 7714
Shan, Kun,Song, Lirong,Chen, Wei,et al. Analysis of environmental drivers influencing interspecific variations and associations among bloom-forming cyanobacteria in large, shallow eutrophic lakes[J]. HARMFUL ALGAE,2019,84:84-94.
APA Shan, Kun.,Song, Lirong.,Chen, Wei.,Li, Lin.,Liu, Liming.,...&Peng, Liang.(2019).Analysis of environmental drivers influencing interspecific variations and associations among bloom-forming cyanobacteria in large, shallow eutrophic lakes.HARMFUL ALGAE,84,84-94.
MLA Shan, Kun,et al."Analysis of environmental drivers influencing interspecific variations and associations among bloom-forming cyanobacteria in large, shallow eutrophic lakes".HARMFUL ALGAE 84(2019):84-94.

入库方式: OAI收割

来源:重庆绿色智能技术研究院

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