Spatial autocorrelation of phytoplankton biomass is weak in the rivers of Lake Taihu Basin, China

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), wa...
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Autor*in:	Wu Zhaoshi [verfasserIn] Kong Ming [verfasserIn] Fan Yamin [verfasserIn] Wang Xiaolong [verfasserIn] Li Kuanyi [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Phytoplankton Lake Taihu Basin river spatial autocorrelation

Übergeordnetes Werk:	In: Knowledge and Management of Aquatic Ecosystems - EDP Sciences, 2010, (2019), 420, p 35
Übergeordnetes Werk:	year:2019 ; number:420, p 35

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1051/kmae/2019027

Katalog-ID:	DOAJ048098175

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allfieldsSound	10.1051/kmae/2019027 doi (DE-627)DOAJ048098175 (DE-599)DOAJ881e98bd3abc48df8ab153a38c7d0c1e DE-627 ger DE-627 rakwb eng SH1-691 Wu Zhaoshi verfasserin aut Spatial autocorrelation of phytoplankton biomass is weak in the rivers of Lake Taihu Basin, China 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Phytoplankton Lake Taihu Basin river spatial autocorrelation Aquaculture. Fisheries. Angling Kong Ming verfasserin aut Fan Yamin verfasserin aut Wang Xiaolong verfasserin aut Li Kuanyi verfasserin aut In Knowledge and Management of Aquatic Ecosystems EDP Sciences, 2010 (2019), 420, p 35 (DE-627)604078730 (DE-600)2502926-5 19619502 nnns year:2019 number:420, p 35 https://doi.org/10.1051/kmae/2019027 kostenfrei https://doaj.org/article/881e98bd3abc48df8ab153a38c7d0c1e kostenfrei https://www.kmae-journal.org/articles/kmae/full_html/2019/01/kmae190069/kmae190069.html kostenfrei https://doaj.org/toc/1961-9502 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2019 420, p 35
language	English
source	In Knowledge and Management of Aquatic Ecosystems (2019), 420, p 35 year:2019 number:420, p 35
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topic_facet	Phytoplankton Lake Taihu Basin river spatial autocorrelation Aquaculture. Fisheries. Angling
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container_title	Knowledge and Management of Aquatic Ecosystems
authorswithroles_txt_mv	Wu Zhaoshi @@aut@@ Kong Ming @@aut@@ Fan Yamin @@aut@@ Wang Xiaolong @@aut@@ Li Kuanyi @@aut@@
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callnumber-first	S - Agriculture
author	Wu Zhaoshi
spellingShingle	Wu Zhaoshi misc SH1-691 misc Phytoplankton misc Lake Taihu Basin misc river misc spatial autocorrelation misc Aquaculture. Fisheries. Angling Spatial autocorrelation of phytoplankton biomass is weak in the rivers of Lake Taihu Basin, China
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topic_title	SH1-691 Spatial autocorrelation of phytoplankton biomass is weak in the rivers of Lake Taihu Basin, China Phytoplankton Lake Taihu Basin river spatial autocorrelation
topic	misc SH1-691 misc Phytoplankton misc Lake Taihu Basin misc river misc spatial autocorrelation misc Aquaculture. Fisheries. Angling
topic_unstemmed	misc SH1-691 misc Phytoplankton misc Lake Taihu Basin misc river misc spatial autocorrelation misc Aquaculture. Fisheries. Angling
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title	Spatial autocorrelation of phytoplankton biomass is weak in the rivers of Lake Taihu Basin, China
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title_full	Spatial autocorrelation of phytoplankton biomass is weak in the rivers of Lake Taihu Basin, China
author_sort	Wu Zhaoshi
journal	Knowledge and Management of Aquatic Ecosystems
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title_sort	spatial autocorrelation of phytoplankton biomass is weak in the rivers of lake taihu basin, china
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title_auth	Spatial autocorrelation of phytoplankton biomass is weak in the rivers of Lake Taihu Basin, China
abstract	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.
abstractGer	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.
abstract_unstemmed	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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title_short	Spatial autocorrelation of phytoplankton biomass is weak in the rivers of Lake Taihu Basin, China
url	https://doi.org/10.1051/kmae/2019027 https://doaj.org/article/881e98bd3abc48df8ab153a38c7d0c1e https://www.kmae-journal.org/articles/kmae/full_html/2019/01/kmae190069/kmae190069.html https://doaj.org/toc/1961-9502
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Spatial autocorrelation of phytoplankton biomass is weak in the rivers of Lake Taihu Basin, China

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