Spatial distribution of diatom assemblages in the surface sediments of Selin Co,central Tibetan Plateau,China, and the controlling factors |
| |
Authors: | Siwei Yu Junbo Wang Yameng Li Ping Peng Jinlei Kai Qiangqiang Kou Andreas Laug |
| |
Affiliation: | 1. Key Laboratory of Tibetan Environment Changes and Land Surface Processes (TEL)/Nam Co Monitoring and Research Station (NAMORS), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China;2. CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing 100101, China;3. University of Chinese Academy of Sciences, Beijing 100049, China;4. Institute of Geology and Paleontology, Linyi University, Linyi, Shandong Province 276000, China;5. School of Earth Science, China University of Geosciences, Wuhan 430074, China;6. Institute of Geosystems and Bioindication, Technische Universität Braunschweig, Braunschweig, Germany |
| |
Abstract: | Currently there are few studies on modern diatom ecology in large lakes on the Tibetan Plateau. To illustrate spatial patterns of diatom communities and study the correlation with environmental variables, 143 surface sediments were sampled from the largest lake (Selin Co) on the central Tibetan Plateau. A total of 143 diatom species belonging to 30 genera were identified, most of which were halophilic and basophilic species. Our results show that diatom communities exhibit a distinct spatial pattern in different environments including fluvial rivers, the inlet of Selin Co, the small lake region and the large lake region of Selin Co. Based on a depth-constrained cluster analysis, the diatom taxa were divided into three different communities: the shallow sedimentary zone (0–12 m), middle sedimentary zone (12–22 m) and deep sedimentary zone (22–48 m). The dominant species were Cocconeis placentula, Nitzschia hungarica and Anomoeoneis costata respectively. Through Canonical correspondence analysis, it was indicated that the spatial distribution of the diatom assemblages was mainly influenced by water depth, grain size and temperature, with water depth being the dominant factor. WA-PLS and WA regression models were used to establish a diatom-depth transfer function (r2boot = 0.73, RMSEP = 0.19; r2boot = 0.76, RMSEP = 0.19), further demonstrating the correlation between the diatom community and water depth. Our results defined the spatial distributions and controlling factors of diatom assemblages from the different environments. |
| |
Keywords: | Corresponding author at: Building 3, Courtyard 16, Lin Cui Road, Chaoyang District, Beijing 100101, China. Diatoms Spatial community patterns Transfer function Environmental variables Water depth |
本文献已被 ScienceDirect 等数据库收录! |
|