三峡水库蓄水对支流浮游植物功能群的影响及与资源利用效率的关系 |
摘要点击 2674 全文点击 2527 投稿时间:2022-03-25 修订日期:2022-05-30 |
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中文关键词 三峡库区 浮游植物 功能群 资源利用效率 环境因子 |
英文关键词 Three Gorges Reservoir phytoplankton functional groups resource use efficiency environment factors |
作者 | 单位 | E-mail | 赵璐 | 西南大学三峡库区生态环境教育部重点实验室, 重庆市三峡库区植物生态与资源重点实验室, 重庆 400715 | 1252041651@qq.com | 欧阳添 | 西南大学三峡库区生态环境教育部重点实验室, 重庆市三峡库区植物生态与资源重点实验室, 重庆 400715 | | 纪璐璐 | 西南大学三峡库区生态环境教育部重点实验室, 重庆市三峡库区植物生态与资源重点实验室, 重庆 400715 | | 杨宋琪 | 西南大学三峡库区生态环境教育部重点实验室, 重庆市三峡库区植物生态与资源重点实验室, 重庆 400715 | | 郑保海 | 西南大学三峡库区生态环境教育部重点实验室, 重庆市三峡库区植物生态与资源重点实验室, 重庆 400715 | | 杜雨欣 | 西南大学三峡库区生态环境教育部重点实验室, 重庆市三峡库区植物生态与资源重点实验室, 重庆 400715 | | 李玉鑫 | 西南大学三峡库区生态环境教育部重点实验室, 重庆市三峡库区植物生态与资源重点实验室, 重庆 400715 | | 李佳欣 | 西南大学三峡库区生态环境教育部重点实验室, 重庆市三峡库区植物生态与资源重点实验室, 重庆 400715 | | 施军琼 | 西南大学三峡库区生态环境教育部重点实验室, 重庆市三峡库区植物生态与资源重点实验室, 重庆 400715 | | 吴忠兴 | 西南大学三峡库区生态环境教育部重点实验室, 重庆市三峡库区植物生态与资源重点实验室, 重庆 400715 | wuzhx@swu.edu.cn |
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中文摘要 |
为探究三峡库区腹地重要支流浮游植物功能群组成与资源利用效率的关系,于2020年8月和11月对香溪河、大宁河、梅溪河、彭溪河和黄金河这5条支流进行浮游植物采集,夏季共计检出浮游植物119种,隶属7门62属,冬季共检出浮游植物118种,隶属7门58属.依照Padisak理论,将所有浮游植物划分为25个功能群,冬季和夏季均出现6种重要功能群,其中夏季以L0、H1、D、Y、MP和P为主,而冬季则主要以L0、H1、A、M、MP和Y为主.根据浮游植物功能群多样性分析结果可知,冬季α多样性低于夏季,且下游河段浮游植物功能群多样性更高,群落结构更复杂.浮游植物功能群及其驱动因子RDA分析表明,ν、pH、高锰酸盐指数、WT和RUETN是显著影响浮游植物功能群的环境因子(P<0.05).VPA结果显示,夏季环境变量对功能群组成变化的解释度较高(45.23%),而冬季则相反,资源利用效率具有更高的解释度(42.33%).进一步对重要功能群与资源利用效率进行线性拟合发现,夏季功能群L0、H1、D和Y与RUETN和RUETP具有良好的线性关系,冬季重要功能群均与RUETN有良好的线性关系,仅4种功能群与RUETP呈线性关系(M、MP、Y和A),表明以蓝藻、甲藻和隐藻为优势类群所在的功能群能更高效地利用夏季有限资源,而硅藻门优势类群所在功能群与资源利用效率具有良好的线性关系,并在冬季低温环境中占据优势地位.这些结果说明三峡库区蓄水改变了浮游植物的资源利用效率,导致浮游植物功能群组成与结构发生变化. |
英文摘要 |
In order to investigate the relationship between phytoplankton community functional group compositions and resource use efficiency in important tributaries of the Three Gorges Reservoir, phytoplankton and environment parameters were sampled from five tributaries, the Xiangxi River, Daning River, Meixi River, Pengxi River, and Huangjin River, in August and November, 2020. There were 119 species (variants) belonging to 62 genera and 7 phyla identified in summer, whereas 118 species (variants) belonging to 7 divisions of 58 genera were found in winter. According to Padisak's theory, all phytoplankton were divided into 25 functional groups, of which there were six important functional groups in both summer and winter:L0, H1, D, Y, MP, and P in summer and L0, H1, A, M, MP, and Y in winter. The α-diversity of the phytoplankton functional group in summer was higher than that in winter. Moreover, a higher α-diversity was also found in downstream samples relative to that in upstream samples, indicating that the community structure was more complex, and the community stability was relatively better in downstream regions of the rivers. Redundancy analysis (RDA) showed that the environment factors, i.e., ν, pH, permanganate index, WT, and RUETN, significantly affected phytoplankton functional groups (P<0.05). Variance partitioning analysis (VPA) indicated that environmental factors had a higher explanatory degree for the change in functional group composition in summer (45.23%); on the contrary, resource use efficiency had a higher explanatory degree in winter (42.33%). The linear fitted model showed that functional groups L0, H1, D, and Y showed a significant positive correlation relationship with RUETN and RUETP in summer, whereas only four functional groups (M, MP, Y, and A) had a linear relationship with RUETP, and all function groups had a good linear relationship with RUETN in winter. These results indicated that the functional groups belonging to cyanobacteria, dinoflagellates, and cryptophyta were more efficient at using limited resources in summer, whereas the diatoms had a good linear relationship with resource use efficiency and formed a dominant group in the low temperature environment of winter. These results suggest that the impounding of the Three Gorges Reservoir area can significantly change the resource use efficiency of phytoplankton, resulting in changes in the phytoplankton functional group composition and community structure. |
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