Taihu Lake Laboratory Ecosystem Research Station, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China.
Centre for Research on Environmental Ecology and Fish Nutrition (Ministry of Agriculture, China), Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources (Ministry of Education, China), National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai, P. R. China.
PLoS One. 2018 Oct 5;13(10):e0205260. doi: 10.1371/journal.pone.0205260. eCollection 2018.
Many studies have focused on the interactive effects of temperature increases due to global warming and nutrient enrichment on phytoplankton communities. Recently, non-temperature effects of climate change (e.g., decreases in wind speed and increases in solar radiation) on large lakes have received increasing attention. To evaluate the relative contributions of both temperature and non-temperature effects on phytoplankton communities in a large eutrophic subtropical shallow lake, we analyzed long-term monitoring data from Lake Taihu, China from 1997 to 2016. Results showed that Lake Taihu's spring phytoplankton biovolume and composition changed dramatically over this time frame, with a change in dominant species. Stepwise multiple linear regression models indicated that spring phytoplankton biovolume was strongly influenced by total phosphorus (TP), light condition, wind speed and total nitrogen (TN) (radj2 = 0.8, p < 0.01). Partial redundancy analysis (pRDA) showed that light condition accounted for the greatest variation of phytoplankton community composition, followed by TP and wind speed, as well as the interactions between TP and wind speed. Our study points to the additional importance of non-temperature effects of climate change on phytoplankton community dynamics in Lake Taihu.
许多研究都集中在全球变暖引起的温度升高和营养物质富化对浮游植物群落的相互作用上。最近，气候变化的非温度效应（例如风速降低和太阳辐射增加）对大型湖泊的影响受到了越来越多的关注。为了评估温度和非温度效应对中国太湖大型富营养化浅水湖泊浮游植物群落的相对贡献，我们分析了 1997 年至 2016 年期间太湖的长期监测数据。结果表明，在这段时间内，太湖春季浮游植物生物量和组成发生了巨大变化，优势种也发生了变化。逐步多元线性回归模型表明，春季浮游植物生物量主要受总磷（TP）、光照条件、风速和总氮（TN）的影响（radj2 = 0.8，p < 0.01）。偏冗余分析（pRDA）表明，光照条件是浮游植物群落组成变化的最大因素，其次是 TP 和风速，以及 TP 和风速之间的相互作用。我们的研究表明，气候变化的非温度效应对太湖浮游植物群落动态具有额外的重要性。
