云南长桥海浮游植物群落结构的季节变化特征及其影响因子识别  

Identification of Seasonal Variation and Influencing Factors ofPhytoplankton Communities in Changqiao Lake at Yunnan Province

作　　者：张昭阳 仇菲 陈丽[1] 尚丽 朱俊宇 龚雪 郑昕 张涛[1] 孔令阳 赵帅营 陈光杰[1] ZHANG Zhaoyang;QIU Fei;CHEN Li;SHANG Li;ZHU Junyu;GONG Xue;ZHENG Xin;ZHANG Tao;KONG Lingyang;ZHAO Shuaiying;CHEN Guangjie(Yunnan Key Laboratory of Plateau Geographic Processes and Environmental Change,Faculty of Geography,Yunnan Normal University,Kunming 650500,China)

机构地区：[1]云南师范大学地理学部,云南省高原地理过程与环境变化重点实验室,云南昆明650500

出　　处：《云南师范大学学报（自然科学版）》2024年第5期60-67,共8页Journal of Yunnan Normal University:Natural Sciences Edition

基　　金：国家自然科学基金资助项目(32060276);云南省基础研究计划项目面上资助项目(202301AT070079);云南省科技计划资助项目(202203AC100002-02);异龙湖高原浅水湖泊云南省野外科学观测研究站资助项目(202305AM070002);云南省“兴滇英才支持计划”青年人才专项资助项目.

摘　　要：于2017年6月、9月、12月和2018年3月对长桥海浮游植物生物量及群落结构进行调查,分析浮游植物的季节变化特征及其与环境因子的关系.研究结果显示浮游植物生物量的范围为17.9~60.5 mg/L,9月最高,6月最低.浮游植物群落由蓝藻门、绿藻门、硅藻门、甲藻门、裸藻门、隐藻门和金藻门组成,其中蓝藻门的生物量占绝对优势.浮游植物优势属种(相对生物量百分比>10%)为蓝藻门的泽丝藻(Limnothrix spp.)、拟柱孢藻(Raphidiopsis raciborskii)和假鱼腥藻(Pseudanabaena spp.).方差分析(ANOVA)和相似性分析(ANOSIM)的结果显示浮游植物生物量和群落结构(门水平和属水平)均在季节上存在显著差异.Pearson相关分析表明浮游植物总生物量与TN、N∶P、NO 3-N呈显著正相关关系.冗余分析(RDA)结果显示WT、TN、TP、N∶P和NO 3-N是影响浮游植物群落结构变化的显著因子,方差分解分析(VPN)进一步表明WT、TN和TP是影响长桥海浮游植物群落变化的关键环境因子,三者分别单独解释了浮游植物变化的12.6%、20.9%和5.1%,温度和总磷共同解释了群落变化的2.1%,TN和TP共同解释了群落变化的1.1%.A survey on the biomass and communities of phytoplankton was conducted in June,September,December of 2017 and March of 2018 in order to uncover the seasonal pattern of phytoplankton and their relationship with environmental factors in Changqiao Lake.The results showed that the phytoplankton biomass ranged from 17.9~60.5 mg/L,with the highest in September and the lowest in June.The phytoplankton community was composed of Cyanophyta,Chlorophyta,Bacillariophyta,Pyrrophyta,Euglenophyta,Cryptophyta and Chrysophyta.Cyanophyta was absolutely dominant and mainly consisted of Limnothrix spp.,Cylindrospermopsis raciborskii and Pseudanabaena spp..The results of analysis of variance and analysis of similarity displayed that phytoplankton biomass and community structure(phylum and genus levels)both exhibited a significant seasonal variation.The Pearson correlation analysis revealed that total phytoplankton biomass was significantly and positively correlated with TN,N∶P and NO 3-N.The Redundancy analysis indicated that WT,TN,TP,N∶P and NO 3-N were significant factors influencing the change of phytoplankton communities.Variation partitioning analyses further demonstrated that WT,TN and TP independently explained 12.6%,20.9%and 5.1%of community variation,and the interaction of TP with WT and TN accounted for 2.1%and 1.1%of the total variance,respectively.Our results will provide basis for the environmental protection,management and ecological evaluation of Changqiao Lake.

关 键 词：长桥海 浮游植物 群落结构 生物量 环境因子 

分 类 号：Q178[生物学—水生生物学] Q145[生物学—普通生物学]