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Open AccessArticle

Response of Submerged Aquatic Vegetation to Water Depth in a Large Shallow Lake after an Extreme Rainfall Event

State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
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Water 2019, 11(11), 2412; https://doi.org/10.3390/w11112412
Received: 30 September 2019 / Revised: 13 November 2019 / Accepted: 15 November 2019 / Published: 17 November 2019
(This article belongs to the Section Water Quality and Ecosystems)
Submerged aquatic vegetation (SAV) is an important part of lake ecosystems, and a proper SAV community structure is the key factor in keeping a clear-water state. Although the response of SAV to water depth has been widely studied in different aquatic environments, little is known about the response of the SAV community to changes in water depth of a large lake after an extreme rainfall event. To examine this question, 780 samples were collected from Lake Taihu, China, between 2013 and 2017 to analyze the variations in SAV and water depth. The water level of the lake ranged from 2.75 to 4.87 m, and the water depth at sampling sites ranged from 1.07 to 3.31 m. The SAV biomass at the sampling sites ranged from 0 to 17.61 kg/m2. The influence of water depth on SAV biomass and frequency of occurrence differed by seasons and by species. The adaptation of SAV species to increasing water depth is a key element for community dynamics, which in turn contributes to water level regulation. A new method was proposed to identify the optimal water depth for SAV biomass accumulation based on calculation of the cumulative probability and probability density. View Full-Text
Keywords: submerged aquatic vegetation; water depth; eutrophic lake; vegetation biomass; Lake Taihu submerged aquatic vegetation; water depth; eutrophic lake; vegetation biomass; Lake Taihu
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MDPI and ACS Style

Zhu, J.; Deng, J.; Zhang, Y.; Peng, Z.; Hu, W. Response of Submerged Aquatic Vegetation to Water Depth in a Large Shallow Lake after an Extreme Rainfall Event. Water 2019, 11, 2412.

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