0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Environmental Sources Marine & Wildlife Sign in to save

Phytoplankton Communities’ Response to Thermal Stratification and Changing Environmental Conditions in a Deep-Water Reservoir: Stochastic and Deterministic Processes

Sustainability 2024 12 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 50 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Hongtian Wang, Pengcheng Zhang, Han Liu, Han Liu, Yixuan Li, Han Liu, Yuying Li, Bai-Lian Li Yuying Li, Yixin Zhang, Han Liu, Bai-Lian Li Han Liu, Yuying Li, Han Liu, Wan-Ping Wang, Yixin Zhang, Bai-Lian Li Bai-Lian Li Yuying Li, Pengcheng Zhang, Bai-Lian Li Nicola Fohrer, Bai-Lian Li Yixin Zhang, Bai-Lian Li

Summary

Researchers studied how thermal stratification in a deep-water reservoir affects phytoplankton community structure and the processes governing species assembly. The study found that both deterministic factors like environmental filtering and stochastic processes influence phytoplankton distribution across water layers. Evidence indicates that prolonged thermal stratification driven by global warming is reshaping aquatic microbial communities in ways that could affect water quality.

Thermal stratification has become more extensive and prolonged because of global warming, and this change has had a significant impact on the distribution patterns of the phytoplankton communities. However, the response of phytoplankton community structures and assembly processes to thermal stratification is not fully understood. We predicted that the structure and assembly processes of phytoplankton communities would be affected by thermal stratification among water layers associated with environmental condition changes, reflecting certain patterns in temporal and spatial scales. Phytoplankton from Danjiangkou Reservoir were collected from October 2021 to July 2022 to verify this prediction. During the sampling period, Danjiangkou Reservoir remained thermally stratified with stability. The composition of the phytoplankton community in the surface layer significantly differed from that in both the thermocline and bottom layer. The phenomenon of thermal stratification affected the pattern of nitrogen and phosphorus distribution and, thus, the processes of the phytoplankton community structures. Deterministic processes had a greater influence on the assembly of the phytoplankton communities in the surface and bottom layers. In contrast, stochastic processes were more prevalent in the assembly of the thermocline phytoplankton community. The phytoplankton community within the thermocline layer exhibited a broader niche range than that in the surface and bottom layers, showing notable dissimilarity from that of the bottom layer. Canonical correspondence analysis (CCA) revealed that the vertical distributions of the phytoplankton communities were significantly correlated with NH4+-N, pH, and water temperature (WT). In summary, this study explained the distribution patterns of phytoplankton community structures and assembly processes in deep-water reservoirs during the stratification period. Additionally, the study explored the potential of using the distribution patterns of phytoplankton in stratified-state deep-water reservoirs under a subtropical–warm temperate climate as climate indicators in the context of global warming.

Sign in to start a discussion.

Share this paper