文献类型：期刊文献

英文题名：Multi-scale temporal dynamics of epilithic algal assemblages: evidence from a Chinese subtropical mountain river network

作者：Tang, Tao[1] Jia, Xinhuan[1,2] Jiang, Wanxiang[1,3] Cai, Qinghua[1]

第一作者：Tang, Tao

通信作者：Tang, T[1]

机构：[1]Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Peoples R China;[2]China Acad Forestry, Res Inst Subtrop Forestry, Fuyang 311400, Peoples R China;[3]Zaozhuang Univ, Zaozhuang 277160, Peoples R China

年份：2016

卷号：770

期号：1

起止页码：289-299

外文期刊名：HYDROBIOLOGIA

收录：;Scopus(收录号：2-s2.0-84961198777);WOS:【SCI-EXPANDED(收录号:WOS:000372555100020)】；

基金：We thank Xiaodong Qu, Naicheng Wu, and Xiaocheng Fu for fieldwork assistance and Ruiqiu Liu for chemical analyses. We are grateful to Yangdong Pan for valuable comments on the early draft of this manuscript and Alissa Cohen for English improvement. This research was funded by the National Natural Science Foundation of China (No. 31470510), Major Science and Technology Program for Water Pollution Control and Treatment (No. 2012ZX07104-002).

语种：英文

外文关键词：Multivariate time series modeling; Multiple scales; Algal dynamics; Ecological guilds; Biomonitoring

摘要：Research on multi-scale temporal dynamics of lotic algal assemblages remains scarce. In this study, we analyzed epilithic algae sampled monthly from a Chinese subtropical mountain river network from 2004 to 2007, by using a multivariate time series modeling approach. We hypothesized that (1) multi-scale temporal dynamics exist within algal communities; (2) physical and chemical conditions drive algal temporal dynamics; and (3) tributary sites differ in algal temporal changes. This study revealed 2-4 site-specific algal temporal dynamics, contributed by 23-45% component taxa. Among the time-related taxa, percentages of high profile guild taxa were higher than both the low profile and the motile guild taxa. Several algal temporal dynamics were found to be driven by water temperature, conductivity, or current velocity, within which influences of conductivity at two sites resulted in directional changes in algal communities. Furthermore, tributary sites differed in algal temporal changes when compared to the two mainstream sites. Our findings imply that natural fluctuations and agricultural disturbance together shaped algal temporal dynamics in the studied river network. In conclusion, for accurately tracking algal temporal dynamics, we recommend that long-term and high-frequency biomonitoring protocols are developed. Moreover, both the mainstream and tributary sites should be monitored simultaneously.