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
Li Kuanyi
中科院分区:
环境科学与生态学4区
文献类型:
--
作者:
Wu Zhaoshi;Kong Ming;Fan Yamin;Wang Xiaolong;Li Kuanyi

文献摘要

参考文献

相似文献

本文研究了太湖流域浮游植物群落结构特征,太湖流域是中国最发达的地区之一。Kruk等人提出的基于形态的官能团(MBFG)。(2010),特别是潜在的有毒蓝藻(第三类和第七类)。从2014年9月到2016年1月的四个季节,在主要河流沿线的96个地点采集了样本。浮游植物群落结构在空间尺度(特别是黄埔/跳溪水系与其他4个水系)和季节尺度上存在显著差异。从空间上看,浮游植物的平均生物量具有较大的变异性,在延江系统的平均值为3.13 mg L−1,在黄埔系统(1.2 3 mg L−1)和跳溪系统(1.44 mg L−1)的值相对较低。潜在有毒蓝藻的平均生物量在空间上占平均总生物量的18.28%,以南河和沿江水系最为丰富。全流域总生物量及其4个主要组成部分(硅藻、绿藻、裸藻和蓝藻)的空间自相关性较弱,与季节无关。在水系方面,除黄埔水系外,其他水系均未观察到显著的自相关现象,尤其是入海量。水文和环境条件的特点可能决定了这6个水系的群落结构。我们的研究强调了在大空间尺度上进行监测的重要性,并应更多地关注潜在的有毒蓝藻用于水质管理目的。
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.
DOI: --
发表时间: 2011
期刊: Resources Science
影响因子: --
作者:
Gao Junfeng
通讯作者: Gao Junfeng
DOI: 10.1007/s10750-006-0521-5
发表时间: 2007-05-01
期刊: HYDROBIOLOGIA
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
DOI: 10.1016/j.hal.2015.01.004
发表时间: 2015-03-01
期刊: HARMFUL ALGAE
影响因子: 6.6
作者:
Lapointe, Brian E.;Herren, Laura W.;Vogel, Margaret A.
通讯作者: Vogel, Margaret A.
DOI: 10.1111/j.1365-2427.1984.tb00027.x
发表时间: 1984-04
期刊: Freshwater Biology
影响因子: 2.7
作者:
C. Reynolds
通讯作者: C. Reynolds