2019-2024 年淀山湖浮游动物群落演变及其对沉水植物恢复的响应
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上海市水产研究所,上海市水产技术推广站

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国家重点研发计划(2024YFD2402200)


The Dynamics of Zooplankton Community in Dianshan Lake (Shanghai, 2019–2024): Response to Submerged Macrophyte Restoration
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Shanghai Fisheries Research Institute, Shanghai Fisheries Technology Extension Station

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    摘要:

    为揭示淀山湖浮游动物群落的长期演变规律及其对沉水植物恢复的响应,于2019~2024年开展四季调查,系统整合分析群落特征与环境因子。基于Upset集合图、非度量多维尺度分析(NMDS)与典型对应分析(CCA)等方法,量化物种组成稳定性、优势种格局及群落演替特征,并结合指示生物与多样性指数开展水质综合评价。共鉴定浮游动物58种,其中轮虫(14属28种)、枝角类(11属17种)和桡足类(11属13种)。年度共有物种占比为46.34%~55.88%,群落组成相对稳定。群落平均丰度与生物量分别为99.33 ind./L与4.87 mg/L,年际波动小,季节差异显著(夏季最高),空间分布呈现较高同质性。筛选优势种12种,长额象鼻溞(Bosmina longirostris)为连续6年的共有优势种。NMDS显示2019~2021年群落结构同质性强,尤以2020年组内集聚度最高,2022~2024年集聚度下降,且与水华消长密切相关;季节演替上,冬季沿主轴呈规律性演替,其余季节结构相近。CCA表明水温、盐度、总氮、pH、溶解氧是驱动群落结构变化的关键环境因子。淀山湖浮游动物以小型类群与长额象鼻溞长期占优,群落结构对水华事件高度敏感。首次记录到淀山湖南部湖区自2024年起重新形成并持续维持大面积沉水植物群落。指示生物与多样性评价显示水质处于α-β中污染,2024年多项指标呈好转趋势,且野外观测显示其与沉水植物恢复具有时空耦合性,推测植被恢复可能通过改善生境异质性与食物网结构间接促进了群落稳定,但其对水质的驱动效应尚需长期验证。研究构建的“理化–生物–生境”联动的响应机制链条,可为富营养化治理与生态修复成效评估提供可操作的监测指标与决策依据。

    Abstract:

    To elucidate the long-term succession characteristics of the zooplankton community in Dianshan Lake and its response to submerged macrophyte restoration, four seasonal surveys were conducted from 2019 to 2024, and the community characteristics and environmental factors were systematically analyzed. Based on UpSet plots, non-metric multidimensional scaling (NMDS), and canonical correspondence analysis (CCA), we quantified the stability of species composition, dominant species patterns, and community succession characteristics. A comprehensive water quality assessment was performed using indicator organisms and diversity indices. A total of 58 zooplankton species were identified, with the annual shared species ratio ranging from 46.34% to 55.88%, indicating a relatively stable community composition. The average abundance and biomass were 99.33 ind./L and 4.87 mg/L, respectively, showing negligible interannual fluctuations but significant seasonal differences (peaking in summer) and high spatial homogeneity. Twelve dominant species were screened out, among which Bosmina longirostris persisted as a dominant taxon for six consecutive years. NMDS results showed strong community structural homogeneity during 2019–2021, with the highest intra-group aggregation occurring in 2020. In contrast, the aggregation degree decreased notably during 2022–2024, closely correlated with the occurrence and decline of cyanobacterial blooms. Regarding seasonal succession, the zooplankton community exhibited a regular succession along the primary axis in winter, whereas the community structures remained similar across the other seasons. CCA results indicated that water temperature, salinity, total nitrogen, pH, and dissolved oxygen were the key environmental factors driving changes in zooplankton community structure. The zooplankton community was characterized by a long-term dominance of small-sized groups and B. longirostris, and the community structure was highly sensitive to bloom events. For the first time, large-scale submerged macrophyte communities were recorded to have re-established and persisted in the southern area of Dianshan Lake since 2024. Indicator organism and diversity assessments revealed that the water quality remained at an α–β mesotrophic level, yet showed a marked improvement trend in 2024. Field observations confirmed a spatio-temporal coupling between the water quality improvement and macrophyte recovery. It is speculated that vegetation restoration indirectly promoted community stability by improving habitat heterogeneity and food web structure; however, its driving effect on water quality requires long-term verification. The " physicochemical–biological–habitat" response mechanism chain constructed in this study provides operable monitoring indicators and decision-making support for eutrophication control and ecological restoration efficiency evaluation.

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  • 收稿日期:2026-01-15
  • 最后修改日期:2026-06-24
  • 录用日期:2026-06-25
  • 在线发布日期: 2026-09-10
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