Abstract
To test the serial discontinuity concept (SDC) predictions in a regulated river ecosystem, environmental parameters and phytoplankton community structure were determined in a subtropical river (China) which was regulated by 11 cascade dams. Our results showed that total phosphorus (TP) and silicate during the wet period in several dams supported the SDC predictions. Variations of phytoplankton species composition in several cascade dams, such as Datengxia (DTX) and Changzhou (CZ), also supported the SDC predictions. Moreover, the stations near the dams showed the maximum or minimum values of total species numbers in each cascade segment. Predictive model indicated that the types of phytoplankton decreased in the middle reaches, conforming to SDC predictions. In the whole system of cascading dams, an increase in silicate concentration and phytoplankton communities in the downstream was also consistent with SDC predictions. Therefore, these findings aligned with the SDC predictions in the aspects of both single dam and whole cascade dam system to some extent. In future research, our aim is to further investigate the effects of cascade damming on additional phytoplankton-related indices in this aquatic ecosystem. We hope to gather more comprehensive data to fully validate the SDC predictions.
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References
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We are very grateful to all staff members of our team for their assistance during field work.
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This work was supported by Guangdong Basic and Applied Basic Research Foundation (NO. 2021A1515012079 and NO. 2019A1515011589).
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Changxin Xie and Caiqin Hu wrote the main manuscript text and prepared figures1-8. Wanling Yang, Qianfu Liu and Jingxin Wei collected the data. All authors reviewed the manuscript.
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Xie, C., Hu, C., Yang, W. et al. Phytoplankton species composition as bioindicator in the largest fragmented channel of the Pearl River, China. Environ Monit Assess 196, 389 (2024). https://doi.org/10.1007/s10661-024-12551-z
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DOI: https://doi.org/10.1007/s10661-024-12551-z