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Investigation of phytoplankton community structure and formation mechanism: a case study of Lake Longhu in Jinjiang
In order to explore the species composition, spatial distribution and relationship between the phytoplankton community and environmental factors in Lake Longhu, the phytoplankton community structures and environmental factors were investigated in July 2020. Clustering analysis (CA) and analysis of s...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585031/ https://www.ncbi.nlm.nih.gov/pubmed/37869680 http://dx.doi.org/10.3389/fmicb.2023.1267299 |
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author | Jiang, Yongcan Wang, Yi Huang, Zekai Zheng, Bin Wen, Yu Liu, Guanglong |
author_facet | Jiang, Yongcan Wang, Yi Huang, Zekai Zheng, Bin Wen, Yu Liu, Guanglong |
author_sort | Jiang, Yongcan |
collection | PubMed |
description | In order to explore the species composition, spatial distribution and relationship between the phytoplankton community and environmental factors in Lake Longhu, the phytoplankton community structures and environmental factors were investigated in July 2020. Clustering analysis (CA) and analysis of similarities (ANOSIM) were used to identify differences in phytoplankton community composition. Generalized additive model (GAM) and variance partitioning analysis (VPA) were further analyzed the contribution of spatial distribution and environmental factors in phytoplankton community composition. The critical environmental factors influencing phytoplankton community were identified using redundancy analysis (RDA). The results showed that a total of 68 species of phytoplankton were found in 7 phyla in Lake Longhu. Phytoplankton density ranged from 4.43 × 10(5) to 2.89 × 10(6) ind./L, with the average density of 2.56 × 10(6) ind./L; the biomass ranged from 0.58–71.28 mg/L, with the average biomass of 29.38 mg/L. Chlorophyta, Bacillariophyta and Cyanophyta contributed more to the total density, while Chlorophyta and Cryptophyta contributed more to the total biomass. The CA and ANOSIM analysis indicated that there were obvious differences in the spatial distribution of phytoplankton communities. The GAM and VPA analysis demonstrated that the phytoplankton community had obvious distance attenuation effect, and environmental factors had spatial autocorrelation phenomenon, which significantly affected the phytoplankton community construction. There were significant distance attenuation effects and spatial autocorrelation of environmental factors that together drove the composition and distribution of phytoplankton community structure. In addition, pH, water temperature, nitrate nitrogen, nitrite nitrogen and chemical oxygen demand were the main environmental factors affecting the composition of phytoplankton species in Lake Longhu. |
format | Online Article Text |
id | pubmed-10585031 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105850312023-10-20 Investigation of phytoplankton community structure and formation mechanism: a case study of Lake Longhu in Jinjiang Jiang, Yongcan Wang, Yi Huang, Zekai Zheng, Bin Wen, Yu Liu, Guanglong Front Microbiol Microbiology In order to explore the species composition, spatial distribution and relationship between the phytoplankton community and environmental factors in Lake Longhu, the phytoplankton community structures and environmental factors were investigated in July 2020. Clustering analysis (CA) and analysis of similarities (ANOSIM) were used to identify differences in phytoplankton community composition. Generalized additive model (GAM) and variance partitioning analysis (VPA) were further analyzed the contribution of spatial distribution and environmental factors in phytoplankton community composition. The critical environmental factors influencing phytoplankton community were identified using redundancy analysis (RDA). The results showed that a total of 68 species of phytoplankton were found in 7 phyla in Lake Longhu. Phytoplankton density ranged from 4.43 × 10(5) to 2.89 × 10(6) ind./L, with the average density of 2.56 × 10(6) ind./L; the biomass ranged from 0.58–71.28 mg/L, with the average biomass of 29.38 mg/L. Chlorophyta, Bacillariophyta and Cyanophyta contributed more to the total density, while Chlorophyta and Cryptophyta contributed more to the total biomass. The CA and ANOSIM analysis indicated that there were obvious differences in the spatial distribution of phytoplankton communities. The GAM and VPA analysis demonstrated that the phytoplankton community had obvious distance attenuation effect, and environmental factors had spatial autocorrelation phenomenon, which significantly affected the phytoplankton community construction. There were significant distance attenuation effects and spatial autocorrelation of environmental factors that together drove the composition and distribution of phytoplankton community structure. In addition, pH, water temperature, nitrate nitrogen, nitrite nitrogen and chemical oxygen demand were the main environmental factors affecting the composition of phytoplankton species in Lake Longhu. Frontiers Media S.A. 2023-10-05 /pmc/articles/PMC10585031/ /pubmed/37869680 http://dx.doi.org/10.3389/fmicb.2023.1267299 Text en Copyright © 2023 Jiang, Wang, Huang, Zheng, Wen and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Jiang, Yongcan Wang, Yi Huang, Zekai Zheng, Bin Wen, Yu Liu, Guanglong Investigation of phytoplankton community structure and formation mechanism: a case study of Lake Longhu in Jinjiang |
title | Investigation of phytoplankton community structure and formation mechanism: a case study of Lake Longhu in Jinjiang |
title_full | Investigation of phytoplankton community structure and formation mechanism: a case study of Lake Longhu in Jinjiang |
title_fullStr | Investigation of phytoplankton community structure and formation mechanism: a case study of Lake Longhu in Jinjiang |
title_full_unstemmed | Investigation of phytoplankton community structure and formation mechanism: a case study of Lake Longhu in Jinjiang |
title_short | Investigation of phytoplankton community structure and formation mechanism: a case study of Lake Longhu in Jinjiang |
title_sort | investigation of phytoplankton community structure and formation mechanism: a case study of lake longhu in jinjiang |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585031/ https://www.ncbi.nlm.nih.gov/pubmed/37869680 http://dx.doi.org/10.3389/fmicb.2023.1267299 |
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