Remote examination of the seasonal succession of phytoplankton assemblages from time-varying trends
文献类型：期刊论文
| 作者 | Zhou, Botian3 ; Shang, Mingsheng3; Zhang, Sheng2; Feng, Li2; Li, Xiangnan1; Wu, Ling1; Feng, Lei3; Shan, Kun3
|
| 刊名 | JOURNAL OF ENVIRONMENTAL MANAGEMENT
 |
| 出版日期 | 2019-09-15 |
| 卷号 | 246页码:687-694 |
| ISSN号 | 0301-4797 |
| 关键词 | Phytoplankton succession Temporal pattern Time series analysis Huan Jing 1 charge-coupled device image Cyan-chlorophyta index Three gorges reservoir |
| DOI | 10.1016/j.jenvman.2019.06.035 |
| 通讯作者 | Shan, Kun(shankun@cigit.ac.cn) |
| 英文摘要 | The seasonal succession of phytoplankton assemblages is important to ascertain the dynamics of an aquatic ecosystem structure, whereas its occurrence in response to hydrodynamic alterations is not clearly understood. In view of the characteristics of annual water level variation formed by the Three Gorges Dam Project (TGDP), our understanding about how these changes affect phytoplankton structure and dynamics is still very limited due to the shortage of long-term observation data. In this study, we used Huan Jing 1 charge-coupled device images over the past decade to examine the phytoplankton succession dates between cyanobacterial and green algal blooms in the backwater area of the Three Gorges Reservoir (TGR). The results indicated continuous wavelet transform-based peak analysis is an efficiency tool that can illustrate the temporal pattern of phytoplankton succession using satellite-derived chlorophyll a and Cyano-Chlorophyta index thresholds. Water level, air temperature, pH and total nitrogen/total phosphorus ratio were four important factors affecting the decline and rise phase of cyanobacterial blooms in the TGR from 2008 to 2018. Given that the upstream dam operation is likely to alter ecological and environmental conditions in the backwater area, this mechanism, so-called "waterlevel linkage", could alleviate the persistent period of cyanobacterial and green algal blooms. Remote sensing together with time series analysis provided a useful method to examine the seasonal succession of phytoplankton assemblages in the TGR, and these findings provided strategic insight for the water-quality management in the post-TGDP period. |
| 资助项目 | National Science and Technology Major Project of China[2014ZX07104-006] ; Chongqing Science and Technology Innovation Special Project for Social Livelihood[Y61Z030A10] ; National Natural Science Foundation of China[51609229] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| 出版者 | ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD |
| WOS记录号 | WOS:000482246700068 |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/9542]  |
| 专题 | 大数据挖掘及应用中心 |
| 通讯作者 | Shan, Kun |
| 作者单位 | 1.China Univ Geosci, Sch Informat Engn, Beijing 100083, Peoples R China 2.Chongqing Acad Environm Sci, Chongqing Collaborat Innovat Ctr Big Data Applica, Chongqing 401147, Peoples R China 3.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing Key Lab Big Data & Intelligent Comp, Chongqing 400714, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhou, Botian,Shang, Mingsheng,Zhang, Sheng,et al. Remote examination of the seasonal succession of phytoplankton assemblages from time-varying trends[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2019,246:687-694. |
| APA | Zhou, Botian.,Shang, Mingsheng.,Zhang, Sheng.,Feng, Li.,Li, Xiangnan.,...&Shan, Kun.(2019).Remote examination of the seasonal succession of phytoplankton assemblages from time-varying trends.JOURNAL OF ENVIRONMENTAL MANAGEMENT,246,687-694. |
| MLA | Zhou, Botian,et al."Remote examination of the seasonal succession of phytoplankton assemblages from time-varying trends".JOURNAL OF ENVIRONMENTAL MANAGEMENT 246(2019):687-694. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
浏览0
下载0
收藏0
其他版本
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。