NEIGAE OpenIR
Environmental variables influencing phytoplankton communities in hydrologically connected aquatic habitats in the Lake Xingkai basin
Y. X. Yuan, M. Jiang, X. T. Liu, H. X. Yu, M. L. Otte, C. X. Ma and Y. G. Her
2018
发表期刊Ecological Indicators
卷号91页码:2018-01-12
摘要Hydrological connectivity can strongly influence phytoplankton communities and ecological status through the interchange of nutrients and organisms in interconnected aquatic habitats. However, there is little consensus regarding the distinction of environmental variables influencing phytoplankton communities related to hydrological connectivity in different aquatic habitats. In this two-year (2013-2014) study, we investigated phytoplankton communities and their relationships with environmental variables in four hydrologically connected aquatic habitats (from upstream to downstream: the Nur Dongbei wetland, Lake Xiaoxingkai, Lake Xingkai, and the Song'acha River) in the Lake Xingkai basin in northeast China. Our aim was to study the effects of hydrological connectivity on phytoplankton communities, and to identify potential indicators of water quality for the basin. We observed that environmental variables and phytoplankton communities showed spatial and temporal heterogeneity in the four habitats, with higher phytoplankton metrics in Lake Xiaoxingkai and lower phytoplankton metrics in the Song'acha River, including species richness, abundance, biomass, and diversity. Increased nutrient concentrations occurred in those habitats connected to the eutrophic Lake Xiaoxingkai during the hydrologically connected period. Lake Xiaoxingkai, Lake Xingkai, and the Song'acha River were dominated by Chlorophyta, whereas Bacillariophyta was the major component of phytoplankton composition in the Nur Dongbei wetland. Environmental variables influencing phytoplankton communities differed during connected and disconnected periods across the four habitats. Results of Pearson correlation analysis and canonical correspondence analysis (CCA) showed that phytoplankton community was mainly affected by concentrations of iron (Fe2+), total nitrogen (TN), and total phosphorus (TP) in the lakes; by water depth and transparency in the river; and by pH and silicate concentrations in the wetland. Based on the results of non-metric multidimensional scaling (NMDS) analysis, hydrological connectivity increased phytoplankton community similarity among different habitats during the connected period. Cyclotella meneghiniana and Anabaena azotica could be used as useful indicators to determine water quality conditions due to their strong sensitivity to nutrient concentrations in freshwater bodies. Our findings provide a scientific basis for water quality protection and management at the basin scale.
文献类型期刊论文
条目标识符http://ir.iga.ac.cn/handle/131322/9161
专题中国科学院东北地理与农业生态研究所
作者单位中国科学院东北地理与农业生态研究所
推荐引用方式
GB/T 7714
Y. X. Yuan, M. Jiang, X. T. Liu, H. X. Yu, M. L. Otte, C. X. Ma and Y. G. Her. Environmental variables influencing phytoplankton communities in hydrologically connected aquatic habitats in the Lake Xingkai basin[J]. Ecological Indicators,2018,91:2018-01-12.
APA Y. X. Yuan, M. Jiang, X. T. Liu, H. X. Yu, M. L. Otte, C. X. Ma and Y. G. Her.(2018).Environmental variables influencing phytoplankton communities in hydrologically connected aquatic habitats in the Lake Xingkai basin.Ecological Indicators,91,2018-01-12.
MLA Y. X. Yuan, M. Jiang, X. T. Liu, H. X. Yu, M. L. Otte, C. X. Ma and Y. G. Her."Environmental variables influencing phytoplankton communities in hydrologically connected aquatic habitats in the Lake Xingkai basin".Ecological Indicators 91(2018):2018-01-12.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Y. X. Yuan, M. Jiang, X. T. Liu, H. X. Yu, M. L. Otte, C. X. Ma and Y. G. Her]的文章
百度学术
百度学术中相似的文章
[Y. X. Yuan, M. Jiang, X. T. Liu, H. X. Yu, M. L. Otte, C. X. Ma and Y. G. Her]的文章
必应学术
必应学术中相似的文章
[Y. X. Yuan, M. Jiang, X. T. Liu, H. X. Yu, M. L. Otte, C. X. Ma and Y. G. Her]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。