Different responses of phytoplankton and zooplankton communities to current changing coastal environments

Wei, Yuqiu; Ding, Dong; Gu, Ting; Jiang, Tao; Qu, Kun; Sun, Jun; Cui, Zhengguo

doi:10.1016/j.envres.2022.114426

Cited by 29 publications

(25 citation statements)

References 64 publications

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“…Among the top five dominant species of each season, similarly, most of them were also diatoms, except for Noctiluca scintillans which only occurred in the spring. However, our results are quite consistent with previous studies in the China seas (Guo et al, 2014;Wei et al, 2017;Zhong et al, 2021;Wei et al, 2022a). For example, Guo et al (2014) have explored the seasonal variation of phytoplankton in the East China Sea (ECS), and concluded that the phytoplankton community in the ECS were mainly composed of diatoms and dinoflagellates.…”

Section: Key Factors Affecting the Phytoplankton Community Compositionsupporting

confidence: 92%

“…During the three seasons, there were significant correlations between Zn, As, and Hg and phytoplankton abundance, the implication is that Zn, As, and Hg were the potential metals that affected the seasonal dynamics of phytoplankton community. However, this result was in line with a previous study that heavy metals Hg, Zn, and As had more or less diverse consequences for the dynamics of phytoplankton in the Bohai Sea (Wei et al, 2022a), a region that is adjacent to the Horizontal distributions for the abundance of dominant species during different seasons along the coastal Yellow Sea. (A) spring, (B) summer and (C) autumn.…”

Section: Relationships Between Abundance and Environmental Parameterssupporting

confidence: 92%

“…Nutrient concentrations, including nitrate (NO 3 -N), nitrite (NO 2 -N), ammonia (NH 4 + -N), and phosphate (PO 4 -P), were determined using a Technicon AA3 Auto-Analyzer (Bran + Luebbe, Norderstedt, Germany) based on the methods described by Crouch and Malmstadt (1967) and Verdouw et al (1978). The concentration of dissolved inorganic nitrogen (DIN) was calculated as the sum of the concentrations of NO 3 -, NO 2 -, and NH 4 + (Wei et al, 2017;Wei et al, 2022a).The dissolved inorganic phosphorus (DIP) was generalized as PO 4 -. Besides, we set a minimum nutrient concentration of 0.001 mg L -1 to avoid detection limit issues.…”

Section: Environmental Parametersmentioning

confidence: 99%

“…Differently, the Hg and As samples (~500 mL) were collected in glass bottles and acidified with sulfuric acid (H 2 SO 4 ). The analytical methods for all heavy metals were described by Zhu et al (2020) and Wei et al (2022a).…”

Section: Environmental Parametersmentioning

confidence: 99%

“…Along with population growth and rapid economic development, environmental pollution (e.g., eutrophication and toxic metal pollution) in the coastal Yellow Sea has become increasingly prominent in recent years, which also alters the physicochemical and biological characteristics in the region over time (Xu et al, 2011;Xiao et al, 2017;Wang et al, 2018). As such, the community structure and diversity of phytoplankton along the coastal Yellow Sea are inevitably affected by its changing marine environment, especially eutrophication (Lin et al, 2005;Wei et al, 2017;Kong et al, 2018;Wei et al, 2022a;Pujari et al, 2022). For instance, Kong et al (2018) have observed the simultaneous occurrence of green tide, golden tide and red tide along the coastal Yellow Sea during the spring and summer, as a result of the excessive nutrient loads.…”

Section: Introductionmentioning

confidence: 99%

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Exploring the key factors affecting the seasonal variation of phytoplankton in the coastal Yellow Sea

Wang

Liu²,

Chen

et al. 2022

Front. Mar. Sci.

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Marine phytoplankton play crucial roles in the ocean’s biological pump and have great impacts on global biogeochemical cycles, yet the knowledge of environmental variables controlling their seasonal dynamics needs to be improved further, especially in the coastal ecosystems. In order to explore the determinants affecting the seasonal variation of phytoplankton, here we conducted three surveys during spring, summer and autumn along the coastal Yellow Sea. Among the phytoplankton community, 49 species of diatoms and 9 species of dinoflagellates were observed in spring, 63 species of diatoms and 10 species of dinoflagellates in summer, and 62 species of diatoms and 11 species of dinoflagellates in autumn. These results thus suggested that there were obvious differences in the number of species across the three seasons, of which diatoms were the most diverse group, followed by dinoflagellates. Additionally, diatoms were the most dominant species of the phytoplankton community and varied largely during different seasons. According to the redundancy analysis, the abundance of phytoplankton community was mainly related to water temperature and dissolved inorganic nitrogen (DIN) during the three seasons, indicating that water temperature and DIN could be the key factors controlling the seasonal variability of phytoplankton community along the coastal Yellow Sea. Also, significant correlations were observed between phytoplankton abundance and heavy metals Zn, As, and Hg during the three seasons, suggesting that these metals also had potential influences on the seasonal dynamics of phytoplankton community in the coastal Yellow Sea.

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Section: Key Factors Affecting the Phytoplankton Community Compositionsupporting

confidence: 92%

Section: Relationships Between Abundance and Environmental Parameterssupporting

confidence: 92%

Section: Environmental Parametersmentioning

confidence: 99%

Section: Environmental Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Exploring the key factors affecting the seasonal variation of phytoplankton in the coastal Yellow Sea

Wang

Liu²,

Chen

et al. 2022

Front. Mar. Sci.

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Ecological perspectives on water quality and zooplankton diversity in the Ravi River

Mahajan,

Thakur,

Kumar

et al. 2024

World Water Policy

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Freshwater ecosystems are intricately linked to the diversity and abundance of zooplankton assemblages, which serve as vital indicators of environmental conditions. The aim of the present study was to investigate the habitat ecology in relation to zooplankton abundance of the Ravi River. Sampling was conducted at selected sampling sites along the Ravi River basin, encompassing various habitat types and environmental gradients. A total of 13 species of zooplankton were observed during the study in which Copepoda was most dominant followed by Cladocera. Cyclops sp. (152 ind/L) and Bosmina sp. (145 ind/L) were the dominant genera throughout the study. Asplanchana sp. (44 ind/L) was observed as a rare species during the study. Some habitat ecological parameters like water temperature, dissolved oxygen, and total dissolved solids show a declining trend in Zone 3. Turbidity was highest in Zone 3 and lowest in Zone 1, and almost all zooplankton genera showed a declining trend in Zone 3. Dissolved oxygen shows a significant positive correlation and directly influences the distribution of zooplankton assemblage structure. This study concludes that certain anthropogenic activities like municipal dumping, sand mining, and altered water flow have negatively impacted water quality and zooplankton diversity in the Ravi River. So, these types of activities should be monitored regularly and controlled immediately.

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Spatio-temporal dynamics of phytoplankton diversity and community structure in relation to environmental variables in the Northwest Coasts of India

Akter,

Deshmukhe,

Ramteke

et al. 2024

Arab J Geosci

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Different responses of phytoplankton and zooplankton communities to current changing coastal environments

Cited by 29 publications

References 64 publications

Exploring the key factors affecting the seasonal variation of phytoplankton in the coastal Yellow Sea

Exploring the key factors affecting the seasonal variation of phytoplankton in the coastal Yellow Sea

Ecological perspectives on water quality and zooplankton diversity in the Ravi River

Spatio-temporal dynamics of phytoplankton diversity and community structure in relation to environmental variables in the Northwest Coasts of India

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