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Phytoplankton Communities’ Response to Thermal Stratification and Changing Environmental Conditions in a Deep-Water Reservoir: Stochastic and Deterministic Processes
by
Li, Yixuan
, Li, Bai-Lian
, Wang, Hongtian
, Liu, Han
, Li, Yuying
, Fohrer, Nicola
, Wang, Wanping
, Zhang, Yixin
, Zhang, Pengcheng
in
Aquatic ecosystems
/ Decision making
/ Environmental conditions
/ Environmental quality
/ Global temperature changes
/ Nutrients
/ Plankton
/ Stochastic models
/ Water quality
/ Water temperature
2024
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Phytoplankton Communities’ Response to Thermal Stratification and Changing Environmental Conditions in a Deep-Water Reservoir: Stochastic and Deterministic Processes
by
Li, Yixuan
, Li, Bai-Lian
, Wang, Hongtian
, Liu, Han
, Li, Yuying
, Fohrer, Nicola
, Wang, Wanping
, Zhang, Yixin
, Zhang, Pengcheng
in
Aquatic ecosystems
/ Decision making
/ Environmental conditions
/ Environmental quality
/ Global temperature changes
/ Nutrients
/ Plankton
/ Stochastic models
/ Water quality
/ Water temperature
2024
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Do you wish to request the book?
Phytoplankton Communities’ Response to Thermal Stratification and Changing Environmental Conditions in a Deep-Water Reservoir: Stochastic and Deterministic Processes
by
Li, Yixuan
, Li, Bai-Lian
, Wang, Hongtian
, Liu, Han
, Li, Yuying
, Fohrer, Nicola
, Wang, Wanping
, Zhang, Yixin
, Zhang, Pengcheng
in
Aquatic ecosystems
/ Decision making
/ Environmental conditions
/ Environmental quality
/ Global temperature changes
/ Nutrients
/ Plankton
/ Stochastic models
/ Water quality
/ Water temperature
2024
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Phytoplankton Communities’ Response to Thermal Stratification and Changing Environmental Conditions in a Deep-Water Reservoir: Stochastic and Deterministic Processes
Journal Article
Phytoplankton Communities’ Response to Thermal Stratification and Changing Environmental Conditions in a Deep-Water Reservoir: Stochastic and Deterministic Processes
2024
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Overview
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.
Publisher
MDPI AG
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