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Patterning and predicting phytoplankton assemblages in a large subtropical river

文献类型： 外文期刊

作者： Wang, Chao 1 ; Li, Xinhui 1 ; Lai, Zini 1 ; Li, Yuefei 1 ; Dauta, Alain 3 ; Lek, Sovan 2 ;

作者机构： 1.Chinese Acad Fishery Sci, Pearl River Fisheries Res Inst, Guangzhou 510380, Guangdong, Peoples R China

2.Univ Toulouse 3, Lab Evolut & Divers Biol, UMR 5174, CNRS, F-31062 Toulouse 4, France

3.Univ Toulouse 3, Lab Ecol Fonctionnelle & Environm, UMR 5245, CNRS, F-31062 Toulouse 4, France

4.Minist Agr, Expt Stn Sci Observat Fishery Resources & Environ, Beijing 526100, Peoples R China

5.Minist Agr, Expt Stn Sci Observat Fishery Resource

关键词： phytoplankton;river;self-organizing map (SOM);Linear Discriminant Analysis (LDA);environments

期刊名称：FUNDAMENTAL AND APPLIED LIMNOLOGY （ 影响因子：1.148； 五年影响因子：1.182 ）

ISSN：

年卷期：

页码：

收录情况： SCI

摘要： Through time-series sampling during the whole of 2009, phytoplankton patterns and prediction models were built up with a self-organizing map (SOM) and Linear Discriminant Analysis (LDA) within the downstream region of a large subtropical river, the Pearl River (China). The excessive nutrient conditions resulted in a diatom dominant phytoplankton community. While green algae contributed more only in species diversity, as they were mainly dependent on inoculations from external resources, and their abundance remained low under fast and turbid flow conditions. The time periods of phytoplankton samples were classified into four clusters using a self-organizing map (SOM) based on species similarities. These clusters were clearly different with respect to species richness, biomass and indicators. The LDA predicting model indicated that these clusters of species assemblages could easily be differentiated by physical factors such as water temperature, discharge and precipitation. As for nutrients, only phosphate could have an occasional impact on phytoplankton assemblages. By using the environmental variables, the global score for predicting the assemblages was 64.2 %, with the predicting performance rates for clusters I, Ha, IIb1 and IIb2 at 50, 48, 62 and 74%, respectively. Cluster I benefited from a combination of higher temperatures and low discharge, and had the highest species richness and biomass. Cluster IIb1 benefited from high discharge and diverse species inoculations, but interruptions in increases of biomass. Cluster IIb2 showed that low temperatures resulted in both low species richness and biomass. Cluster Ha, characterized by phosphate, indicated that phytoplankton assemblages were occasionally P-limited in the studied section. In conclusion, the annual patterns of the downstream phytoplankton assemblages in the Pearl River were mainly regulated by physical factors but occasionally limited by nutrients.

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