| 摘要: |
| 滨海湿地是全球气候变化与人类活动的敏感区和脆弱区。为探究滨海湿地浮游植物群落时空差异及影响因子，本研究在上海鹦鹉洲湿地与外围城市河道共设置14个采样点分四季进行浮游植物样品采集，共鉴定浮游植物7门97种，硅藻门和绿藻门种类最为丰富。鹦鹉洲湿地与外围河道共有种有61种（占总种类的62.9%），湿地特有种19种、外围河道特有种17种。种类数的季节差异显著，为夏季（89种）>冬季（68种）>秋季（49种）＞春季（42种），四季共有种23种，夏季特有种12种，其他季节特有种仅2-3种。从生物量来看，鹦鹉洲湿地浮游植物群落类型比外围河道表现出更多样的季节演替：湿地从春到冬表现为硅藻--蓝|裸|甲藻--隐藻--裸|绿藻的演替规律，而外围河道则表现为隐|硅藻--蓝藻--隐|硅藻--隐|硅藻的季节演替规律。鹦鹉洲湿地浮游植物主要优势种为细小隐球藻（Aphanocapsa elachista）、尖尾蓝隐藻（Chroomonas acuta）；外围河道主要优势种为啮蚀隐藻（Cryptomonas erosa）、尖尾蓝隐藻、细小隐球藻、歪头颤藻（Oscillatoria curviceps）以及颗粒直链藻（Melosira granulata），优势种季节更替明显。综合多种统计分析得出，WT、DO、SD、Sal及营养盐是上海鹦鹉洲湿地及外围河道浮游植物群落分布最主要的影响因子，其中Sal是区分湿地与河道浮游植物群落的关键因子，WT与NH3-N是区分四季浮游植物群落的关键因子。变差分解显示，环境因子对功能离散度（FDiv）的解释率（18.8%**）显著高于对Shannon多样性的解释率（10%*），表明环境对物种生态位的筛选强于对物种个体的筛选。受环境影响不显著的功能均匀度（FEve）却受时间因子的显著影响，可能与季节更替过程中气象条件、水体生态系统营养级结构的变化、浮游生物群落季节性演替过程中种间关系等因素有关。功能丰富度（FRic）表明秋季是四季中浮游植物群落抗干扰能力最弱的季节，且湿地的抗干扰能力显著强于河道。环境因子对FRic的解释量（41.2%***）显著高于对物种丰富度的解释量（16%**），表明功能丰富度的环境敏感性比物种丰富度高。本研究将对滨海区域生物多样性保护、生态系统功能恢复与管理提供科学依据。 |
| 关键词: 藻类 群落类型 功能多样性 分类回归树 变差分解 滨海湿地 |
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| 基金项目:长江三角洲河口湿地生态系统教育部/上海市野外科学观测研究站开放课题（K202204）；国家自然科学基金青年项目（32001153）；上海市城市化生态过程与生态恢复重点实验室开放课题（SHUES2022A07）；上海应用技术大学引进人才科研启动经费（YJ2022-39）。 |
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| Spatio-temporal differences of phytoplankton communities and their driving factors in the Yingwuzhou Wetland and its surrounding canals, Shanghai |
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Wei Menglin, Hong Tianyu, Wu Haipeng, Liu Tianyi, Zhao Kun, Li Fayun
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School of Ecological Technology and Engineering, Shanghai Institute of Technology
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| Abstract: |
| Coastal wetlands are sensitive and vulnerable areas to global climate change and anthropogenic pressures. To study the spatio-temporal differences and driving factors of phytoplankton communities in coastal wetlands, we analyzed data of phytoplankton samples collected from 14 sites for four seasons in the Yingwuzhou Wetland and its surrounding urban canals. A total of 97 phytoplankton species belonging to 7 phyla were identified during the study period, most of which are Bacillariophyta and Chlorophyta. A total of 61 phytoplankton species (62.9% of total species) were identified both in the Yingwuzhou Wetland and its surrounding canals. Besides, 19 species were only identified in the Yingwuzhou Wetland and 17 species were specific to its surrounding canals. The richness of phytoplankton species significantly correlated with seasonal change, summer (89 species)＞winter (68 species)＞fall(49 species)＞spring (42 species). There are 23 shared species by four seasons, 12 species only identified in summer, and 2-3 typical species identified in other seasons. More diverse seasonal succession was found in the Yingwuzhou Wetland than those of its surrounding canals, from the perspective of biomass in phytoplankton community types. The Yingwuzhou Wetland showed the succession pattern from Bacillariophyta type (spring) to Cyanophyta-Euglenophyta-Chlorophyta type (summer) to Cryptophyta type (fall) to Euglenophyta-Chlorophyta type (winter). Its surrounding canals showed the succession pattern from Cryptophyta-Bacillariophyta type (spring) to Cyanophyta-Euglenophyta-Pyrrophyta type (summer) to Cryptophyta-Bacillariophyta type (fall) to Cryptophyta-Bacillariophyta type (winter). Seasonal changes of dominant species in both Yingwuzhou Wetland and its surrounding canals are significant. The dominant species of phytoplankton community in the Yingwuzhou Wetland are Aphanocapsa elachista and Chroomonas acuta, while the main dominant species of phytoplankton community in its surrounding canals are Cryptomonas erosa, Chroomonas acuta, Aphanocapsa elachista, Oscillatoria curviceps, and Melosira granulata. According to multiple statistical analyses, WT, DO, SD, Sal, and Nutrient are the main factors that dominate the distribution of phytoplankton communities in the Yingwuzhou Wetland and its surrounding urban canals. Sal is the key factor in separating the phytoplankton community in the Yingwuzhou Wetland from its surrounding canals. WT and NH3-N are the key factors in differentiating phytoplankton communities in different seasons. The results of the variance partitioning analysis of Yingwuzhou Wetland and its surrounding canals show that the percentage of the explained variance by environmental factors to the functional divergence (18.8%**) is significantly higher than to the Shannon diversity (10%*), which indicates that environmental filtering on niches is stronger than filtering on individuals. The functional evenness is not significantly influenced by the environmental factors but is significantly influenced by the temporal factors, which are possibly related to climate change, trophic structure shift of aquatic ecosystems, or biological interaction alter of plankton communities during seasonal change. The functional richness of Yingwuzhou Wetland and its surrounding canals indicates that fall is the most vulnerable season to the disturbance among four seasons, and the resilience of the wetland is significantly higher than that of its surrounding canals. The percentage of the explained variance by environmental factors to the functional richness (41.2%***) is significantly higher than to the species richness (16%**), which indicates that functional richness is more sensitive to environmental changes than species richness. This study may provide scientific references for biodiversity conservation, ecosystem function restoration, and management in coastal areas. |
| Key words: phytoplankton community types functional diversity classification and regression tree variance partitioning analysis coastal wetland |
