Spatial autocorrelation of phytoplankton biomass is weak in the rivers of Lake Taihu Basin, China
Spatial autocorrelation of phytoplankton biomass is weak in the rivers of Lake Taihu Basin, China
复制标题
太湖流域河流浮游植物生物量空间自相关性较弱
DOI:
10.1051/kmae/2019027
复制
发表时间:
2019
影响因子:
1.8
通讯作者:
Li Kuanyi
中科院分区:
文献类型:
--
作者:
Wu Zhaoshi;Kong Ming;Fan Yamin;Wang Xiaolong;Li Kuanyi
We investigated the characteristic of phytoplankton community structure across the entire Lake Taihu Basin (LTB), one of the most developed areas in China. A morphologically based functional group (MBFG) proposed by Kruk et al. (2010), especially potential toxic cyanobacteria (group III and VII), was also illustrated. Samples were collected at 96 sites along main rivers throughout the four seasons from September 2014 to January 2016. Significant differences in the phytoplankton community structure were observed at spatial (particularly between Huangpu/Tiaoxi and the other 4 river systems) and seasonal scales. On a spatial basis, high variability was observed in the mean phytoplankton biomass, with a relatively high value of 3.13 mg L−1 in Yanjiang system and a relatively low value in Huangpu (1.23 mg L−1) and Tiaoxi (1.44 mg L−1) systems. The mean biomass of potential toxic cyanobacteria accounted for 18.28% of the mean total biomass spatially, which was more abundant in Nanhe and Yanjiang systems. Spatial autocorrelation was weak for the total biomass and its four main components (bacillariophyta, chlorophyta, euglenophyta, and cyanobacteria) at whole basin scale regardless of season. Regarding the river system, significant autocorrelation was scarcely observed in all the river systems except Huangpu, especially in the inflows. The characteristic in terms of hydrological and environmental conditions may determine the community structure of the 6 river systems. Our study highlighted the importance of monitoring based on a large spatial scale, and more attention should be paid to potential toxic cyanobacteria for water quality management purposes.
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DOI:
--
发表时间:
2011
期刊:
Resources Science
影响因子:
--
作者:
Gao Junfeng
通讯作者:
Gao Junfeng
影响因子:
2.6
作者:
Qin, Boqiang;Xu, Pengzhu;Zhang, Yunlin
通讯作者:
Zhang, Yunlin
DOI:
10.1127/lr/10/1996/161
发表时间:
1996-09
期刊:
River Systems
影响因子:
--
作者:
C. Reynolds;J. Descy
通讯作者:
C. Reynolds;J. Descy
影响因子:
6.6
作者:
Lapointe, Brian E.;Herren, Laura W.;Vogel, Margaret A.
通讯作者:
Vogel, Margaret A.
影响因子:
2.7
作者:
C. Reynolds
通讯作者:
C. Reynolds