Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing 210008, PR China; University of Chinese Academy of Sciences, Beijing 100049, China.
Department of Ecoscience, Aarhus University, Vejlsøvej 25, 8600 Silkeborg, Denmark; Sino-Danish Centre for Education and Research (SDC), University of Chinese Academy of Sciences, 100049 Beijing, China; Limnology Laboratory, Department of Biological Sciences and Centre for Ecosystem Research and Implementation, Middle East Technical University, Ankara, Turkey.
Sci Total Environ. 2022 Oct 10;842:156878. doi: 10.1016/j.scitotenv.2022.156878. Epub 2022 Jun 23.
Six decades field observation data series on submerged aquatic vegetation (SAV), water level and water quality from Lake Taihu were compiled to reveal the dynamics in coverage and species composition of SAV and their anthropogenic drivers. We found that both SAV species composition and coverage area declined significantly in Lake Taihu during the period, and the increasing nutrient levels and water level as well as decreasing water clarity were responsible for these change trends. Specifically, the decrease in species richness could be particularly well predicted by total nitrogen (TN) and the ratio of water clarity (i.e., Secchi disk depth (SDD)) to water level (WL), contributing 47.3 % and 32.3 %, respectively, while the coverage of macrophytes was most strongly related to the water level, accounting for 70.1 % of the variation. A classification tree analysis revealed a threshold of TN of 3.2 mg/L and SDD/WL of 0.14 that caused a shift to a eutrophic low-macrophyte dominated state. Our results highlight that SDD/WL must be improved for SAV recolonization, rather than merely reducing nutrient input and regulating water level. Our findings provide scientific information for lake managers to prevent plant degradation in macrophyte-dominant lakes and facilitate a shift to a macrophyte-dominant state in eutrophic lakes.
六十年的太湖水下植被 (SAV)、水位和水质的实地观测数据系列被汇编,以揭示 SAV 的覆盖范围和物种组成及其人为驱动因素的动态变化。我们发现,太湖的 SAV 物种组成和覆盖面积在此期间都显著下降,而营养水平的升高、水位的上升和透明度的降低是造成这些变化趋势的原因。具体来说,物种丰富度的减少可以很好地由总氮 (TN) 和透明度 (即塞氏盘深度 (SDD)) 与水位 (WL) 的比值来预测,这两个因素分别贡献了 47.3%和 32.3%,而大型植物的覆盖范围与水位的关系最为密切,占变化的 70.1%。分类树分析显示,TN 为 3.2mg/L 和 SDD/WL 为 0.14 是导致向富营养化低大型植物为主的状态转变的阈值。我们的研究结果强调,为了促进 SAV 的再殖民化,必须改善 SDD/WL,而不仅仅是减少营养物质的输入和调节水位。我们的研究结果为湖泊管理者提供了科学信息,以防止以大型植物为主的湖泊中的植物退化,并促进富营养化湖泊向以大型植物为主的状态转变。