成立于1968年的意大利设计团队（DESIGN GROUP ITALIA），是一个涉及多领域的国际化设计机构，拥有一支文化背景不同但备有所长的设计精英团队。他们为多家国际大型企业成功提供了数个以消费者为中心的全方位设计解决方案，从产品到品...成立于1968年的意大利设计团队（DESIGN GROUP ITALIA），是一个涉及多领域的国际化设计机构，拥有一支文化背景不同但备有所长的设计精英团队。他们为多家国际大型企业成功提供了数个以消费者为中心的全方位设计解决方案，从产品到品牌，涵盖设计全流程。展开更多
Phytoplankton functional groups have gained increasing attention in recent years.To understand the composition of phytoplankton functional groups in Poyang Lake and their drivers,field investigations were conducted ov...Phytoplankton functional groups have gained increasing attention in recent years.To understand the composition of phytoplankton functional groups in Poyang Lake and their drivers,field investigations were conducted over three years:2013,2014,and 2016.Phytoplankton were dominated by diatoms,contributing from 20.19%to 57.57%of the total biomass,followed by cyanobacteria,9.81%-39.98%.Microcystis sp.and Anabaena sp.were the dominant species among cyanobacteria.Twenty-six functional groups were identified among 72 genera or species,and fiver groups(P,B,MP,H1,and G)were categorized dominant.All of dominant groups except H1 were tolerate highly fluctuating mixing intensities and showed a typical monthly succession variation.Water temperature,water level,and nutrients are key drivers for the variation of phytoplankton communities at taxonomic and functional levels.Both of redundancy and variation partitioning analyses showed that environmental variables might explain functional groups better than taxonomic communities,implying that the functional groups were more advantageous in showing the effects of environmental conditions than taxonomic compositions.Hydrological conditions have a crucial influence on phytoplankton assemblage dynamics in highly variable water regime lakes,but not in the largest ones.The functional groups method is suitable for identifying the spatial and seasonal characteristics of aquatic environments that significantly affected by water regimes.展开更多
基金Supported by the Science and Technology Project of Jiangxi Provincial Department of Education(Nos.GJJ211938,GJJ211933)the National Natural Science Foundation of China(No.52260026)+2 种基金the Science and Technology Research and Development Project of China Railway Group Limited(No.2021-Major-08)the Major Science and Technology Program of Jiangxi Provincial Department of Water Resources(No.202224ZDKT22)the Young Talents Training Project of Jiangxi Province(No.20204BCJL23040)。
文摘Phytoplankton functional groups have gained increasing attention in recent years.To understand the composition of phytoplankton functional groups in Poyang Lake and their drivers,field investigations were conducted over three years:2013,2014,and 2016.Phytoplankton were dominated by diatoms,contributing from 20.19%to 57.57%of the total biomass,followed by cyanobacteria,9.81%-39.98%.Microcystis sp.and Anabaena sp.were the dominant species among cyanobacteria.Twenty-six functional groups were identified among 72 genera or species,and fiver groups(P,B,MP,H1,and G)were categorized dominant.All of dominant groups except H1 were tolerate highly fluctuating mixing intensities and showed a typical monthly succession variation.Water temperature,water level,and nutrients are key drivers for the variation of phytoplankton communities at taxonomic and functional levels.Both of redundancy and variation partitioning analyses showed that environmental variables might explain functional groups better than taxonomic communities,implying that the functional groups were more advantageous in showing the effects of environmental conditions than taxonomic compositions.Hydrological conditions have a crucial influence on phytoplankton assemblage dynamics in highly variable water regime lakes,but not in the largest ones.The functional groups method is suitable for identifying the spatial and seasonal characteristics of aquatic environments that significantly affected by water regimes.
