Unveiling Phytoplankton Diversity: Taxonomy, Functional Groups, and Environmental Drivers in North China Lakes

Functional groups (FGs) represent a classification scheme designed to study the ecological adaptations of phytoplankton. However, FG dynamics studies in phytoplankton are often conducted independent of taxonomic studies, so the factors influencing community dynamics have not been sufficiently investigated or compared between the two classification systems. In this study, we compared the intricate relationship between taxonomic and FG compositions in North China lakes and delve into the key environmental drivers shaping phytoplankton community dynamics. This investigation revealed that taxonomic and FG classifications exhibit high qualitative and quantitative similarities in the community structure. Environmental drivers had a stronger influence on the FG structure than taxonomic composition, indicating that the FG classification does not result in the loss of ecological information regarding the community structure, even with the reduced number of grouping units. Indeed, it was evident that FGs contained a larger quantity of ecological information. These conclusions were further verified using lakes in eastern China. Additionally, we found that climatic-geographical factors usually exerted indirect influences, by altering water chemistry, while water chemical factors had more direct and stronger influences. The combined effects of both types of environmental factors had a greater impact on the phytoplankton FG structure than on taxonomic composition. In conclusion, we believe that an in-depth study of FGs will better focus on the ecological characteristics of phytoplankton, while also avoiding the need for extensive species identification.

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Publication Details

Journal
Ecology and Evolution
Published
2024-12-01
DOI
https://doi.org/10.1002/ece3.70656
Citations
5
Primary Topic
Aquatic Ecosystems and Phytoplankton Dynamics
Type
article
Field-Weighted Citation Impact
1.25

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article

Unveiling Phytoplankton Diversity: Taxonomy, Functional Groups, and Environmental Drivers in North China Lakes

Junping Lv, Fangru Nan, Shulian Xie, Guotao Zhang et al.
5 citations
Ecology and Evolution
Aquatic Ecosystems and Phytoplankton Dynamics
1.25
article

Unveiling Phytoplankton Diversity: Taxonomy, Functional Groups, and Environmental Drivers in North China Lakes

Junping Lv, Fangru Nan, Shulian Xie, Guotao Zhang, Zhongshi He, Jia Feng, Hanjie Huang, Xudong Liu, Wei Wang, Qi Liu
article en
5 citations

Abstract

Functional groups (FGs) represent a classification scheme designed to study the ecological adaptations of phytoplankton. However, FG dynamics studies in phytoplankton are often conducted independent of taxonomic studies, so the factors influencing community dynamics have not been sufficiently investigated or compared between the two classification systems. In this study, we compared the intricate relationship between taxonomic and FG compositions in North China lakes and delve into the key environmental drivers shaping phytoplankton community dynamics. This investigation revealed that taxonomic and FG classifications exhibit high qualitative and quantitative similarities in the community structure. Environmental drivers had a stronger influence on the FG structure than taxonomic composition, indicating that the FG classification does not result in the loss of ecological information regarding the community structure, even with the reduced number of grouping units. Indeed, it was evident that FGs contained a larger quantity of ecological information. These conclusions were further verified using lakes in eastern China. Additionally, we found that climatic-geographical factors usually exerted indirect influences, by altering water chemistry, while water chemical factors had more direct and stronger influences. The combined effects of both types of environmental factors had a greater impact on the phytoplankton FG structure than on taxonomic composition. In conclusion, we believe that an in-depth study of FGs will better focus on the ecological characteristics of phytoplankton, while also avoiding the need for extensive species identification.

Ecology and EvolutionVol. 14(12)
University of Maryland, Baltimore (US), University of Maryland Center for Environmental Science (US), Shanxi University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 22%
Aquatic Ecosystems and Phytoplankton Dynamics
1.25
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