查干湖浮游植物群落结构特征及其环境驱动因子
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1.中国科学院东北地理与农业生态研究所;2.黑龙江大学水利电力学院;3.中国地质调查局哈尔滨自然资源综合调查中心

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基金项目:

国家自然科学基金项目(42571039;U23A2008 and 42571039);吉林省自然科学基金(YDZJ202401475ZYTS)


Community structure and environmental driving factors of phytoplankton in Chagan Lake
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Affiliation:

1.Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences;2.Heilongjiang University, College of Water Conservancy and Electric Power;3.Harbin Natural Resources Comprehensive Survey Center, China Geological Survey

Fund Project:

National Natural Science Foundation of China (Grant NO. 42571039; U23A2008 and 42571039); National Natural Science Foundation of Jilin Province (YDZJ202401475ZYTS).

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    摘要:

    寒区湖泊浮游植物是湖泊生态系统物质循环与能量流动的关键载体,其群落结构相较于中低纬度湖泊浮游植物,对气候变化及人类活动胁迫表现出更高的敏感性。为阐明寒区湖泊浮游植物群落结构的时空特征及其关键驱动因子,本研究以1月、5月、7月和9月依次代表冬、春、夏、秋四季,于2024年对查干湖开展浮游生物群落和水质样品的采集与室内分析。结果表明,查干湖春、夏和冬季水体营养状态处于中营养状态(34.20≤TLI≤47.16),秋季水体为富营养状态(介于48.85≤TLI≤59.56)。本次研究共鉴定出浮游植物8门175种,硅藻门生物量最高,蓝藻门藻密度最大;浮游植物优势种5门12种,春、夏、秋、冬的绝对优势种(优势度最高)分别为硅藻门的尖针杆藻(Synedra acus)、黄藻门的拟丝黄丝藻(Tribonema ulothrichoides)、蓝藻门的螺旋长孢藻(Dolichospermum spiroides)和硅藻门的尖针杆藻极狭变种(Synedra acus var.angustissima)。浮游植物群落ShannonWiener多样性指数、Simpson多样性指数、Pielou均匀度指数和Margalef丰富度指数普遍较低,表明其对外部和内部环境变化的抵抗能力较弱。基于Pearson相关性分析、冗余分析(RDA)和Mantel检验,阐明了水温(WT)、总磷(TP)、总氮(TN)、氨氮(NH4+-N)、硝氮(NO3--N)和溶解氧(DO)是影响查干湖浮游植物藻密度的主控因子,其中WT、TN、TP和NO3--N是影响浮游植物优势度的主控因子,TN、NH4+-N和DO是影响浮游植物群落结构的主控因子。值得注意的是,冬春的低温、弱光(冰盖)和水动力减弱促使硅藻成为绝对优势种,夏秋的总氮和硝氮促使黄藻和蓝藻成为绝对优势种。查干湖为了有效防控蓝藻成为四季的绝对优势种,亟需削减夏秋输入的营养盐浓度(总氮和硝氮)来应对气候变暖带来的威胁。本研究揭示了北方寒区湖泊浮游植物群落结构的驱动机制,为查干湖以及类似寒区湖泊水生态保护提供科学依据。

    Abstract:

    Phytoplankton in cold-region lakes are key carriers of material cycling and energy flow in lake ecosystems. Compared with phytoplankton in lakes at mid-to-low latitudes, their community structure exhibits higher sensitivity to climate change and anthropogenic stress. To elucidate the spatio-temporal characteristics of phytoplankton community structure and its key driving forces in cold-region lakes, this study used samples from January, May, July and September to represent winter, spring, summer and autumn, respectively. Plankton community and water quality samples were collected from Lake Chagan in 2024 and subjected to laboratory analysis.The results showed that the water trophic state of Chagan Lake was mesotrophic in spring, summer, and winter (34.20≤TLI≤47.16), while it was eutrophic in autumn (48.85≤TLI≤59.56). A total of 175 phytoplankton species belonging to 8 phyla were identified, with Bacillariophyta having the highest biomass and Cyanophyta the highest cell density. There were 12 dominant phytoplankton species from 5 phyla; the absolute dominant species (with the highest dominance) in spring, summer, autumn, and winter were Synedra acus (Bacillariophyta), Tribonema ulothrichoides (Xanthophyta), Dolichospermum spiroides (Cyanophyta), and Synedra acus var. angustissima (Bacillariophyta), respectively. The Shannon-Wiener diversity index, Simpson diversity index, Pielou evenness index, and Margalef richness index of the phytoplankton community were generally low, indicating weak resistance to external and internal environmental changes. Based on Pearson correlation analysis, redundancy analysis (RDA), and Mantel tests, it was clarified that WT, TP, TN, NH??-N, NO??-N, and DO were the main controlling factors affecting phytoplankton cell density in Chagan Lake. Among these, WT, TN, TP, and NO??-N were the main factors influencing phytoplankton dominance, while TN, NH??-N, and DO dominated changes in phytoplankton community structure. Notably, low temperature, low light (ice cover) and weakened hydrodynamic mixing in winter and spring promoted Bacillariophyta to become the absolute dominant species, whereas high TN and NO??-N in summer and autumn facilitated Xanthophyta and Cyanophyta to become the absolute dominant species. To effectively prevent Cyanophyta from becoming the absolute dominant species across all seasons in Chagan Lake, it is urgent to reduce the concentration of nutrient salts (TN and NO??-N) input in summer and autumn to address the threats posed by climate warming. This study reveals the driving mechanism of phytoplankton community structure in northern cold-region lakes, providing a scientific basis for the aquatic ecological protection of Chagan Lake and similar cold-region lakes.

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  • 收稿日期:2026-02-04
  • 最后修改日期:2026-03-11
  • 录用日期:2026-03-11
  • 在线发布日期: 2026-06-22
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