Suppr超能文献

富营养化太湖中浮游植物生物量的长期动态及其驱动因素。

Long-term dynamics and drivers of phytoplankton biomass in eutrophic Lake Taihu.

机构信息

State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, CAS, Nanjing 210008, China.

State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, CAS, Nanjing 210008, China.

出版信息

Sci Total Environ. 2018 Dec 15;645:876-886. doi: 10.1016/j.scitotenv.2018.07.220. Epub 2018 Jul 24.

Abstract

Understanding the relative effect sizes of climate-related environmental variables and nutrients on the high annual variation in the phytoplankton biomass in eutrophic lakes is important for lake management efforts. In this study, we used a data set of phytoplankton dynamics in eutrophic Lake Taihu that cover more than two decades (1993-2015) to show the variation in and the drivers of phytoplankton biomass under complex, fluctuating environmental conditions. Our results showed that the phytoplankton biomass increased slowly over the studied period despite the recent decrease in nutrient levels. The distribution of the phytoplankton biomass expanded spatially towards the central lake region, and seasonally towards the autumn and winter. Nutrients were still the primary predictors of the long-term phytoplankton biomass trend. The effect size of climate-related variables was also high and close to the effect size of nutrients. Among the climate-related variables, wind speed and underwater available light were more important predictors than temperature. The biomass of the phytoplankton taxonomic groups showed different responses to the environmental variables based on their niches. However, the compensatory dynamics affecting biomass were weak at phylum level, and synchronous dynamics drove the variation in total biomass. Our findings highlight the effect of climate-related variables on the phytoplankton biomass in Lake Taihu, which has experienced high nutrient loadings and concentrations for more than two decades. Therefore, changes in climate-related variables, such as wind speed and underwater available light, should be considered when evaluating the amount that nutrients should be reduced in Lake Taihu for future lake management.

摘要

了解与气候相关的环境变量和营养物质对富营养化湖泊中浮游植物生物量年际高度变化的相对影响大小,对于湖泊管理工作至关重要。本研究利用太湖富营养化过程中浮游植物动态数据集(1993-2015 年)超过二十多年的数据,展示了在复杂波动的环境条件下浮游植物生物量的变化及其驱动因素。结果表明,尽管近年来营养水平有所下降,但研究期间浮游植物生物量增长缓慢。浮游植物生物量的分布在空间上向湖心区域扩展,在季节上向秋季和冬季扩展。营养物质仍然是长期浮游植物生物量趋势的主要预测因子。与气候相关的变量的效应大小也很高,接近于营养物质的效应大小。在与气候相关的变量中,风速和水下可用光比温度更重要。浮游植物分类群的生物量对环境变量的响应因生态位而异。然而,在门水平上,影响生物量的补偿动态较弱,同步动态驱动了总生物量的变化。本研究结果强调了气候相关变量对太湖浮游植物生物量的影响,太湖经历了二十多年的高营养负荷和浓度。因此,在评估未来湖泊管理中太湖应减少多少营养物质时,应考虑与气候相关的变量(如风速和水下可用光)的变化。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验