| 引用本文: | 刘洋,安瑞志,杨号,张艳秋,陈俊霖,马文强,巴桑.西藏拉鲁湿地浮游植物群落时空分布特征及其驱动因子.湖泊科学,2024,36(2):403-415. DOI:10.18307/2024.0216 |
| Liu Yang,An Ruizhi,Yang Hao,Zhang Yanqiu,Chen Junlin,Ma Wenqiang,Ba Sang.Spatial-temporal distribution characteristics and its driving factors of phytoplankton community in Lhalu Wetland, Tibet,China. J. Lake Sci.2024,36(2):403-415. DOI:10.18307/2024.0216 |
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| 西藏拉鲁湿地浮游植物群落时空分布特征及其驱动因子 |
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刘洋1,2,3, 安瑞志1,2,3, 杨号1, 张艳秋1, 陈俊霖1, 马文强1, 巴桑1,2,3
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1.西藏大学生态环境学院青藏高原湿地与流域生态系统实验室, 拉萨 850000;2.西藏大学地球第三极碳中和研究中心, 拉萨 850000;3.西藏大学生态环境学院青藏高原生物多样性与生态环境保护教育部重点实验室, 拉萨 850000
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| 摘要: |
| 为了解西藏拉鲁湿地浮游植物群落时空分布特征及其驱动因子,于2021年7月、10月和2022年5月在拉鲁湿地主要水系进行定性和定量样品采集,共采集浮游植物水样126个,从不同季节和不同生境浮游植物种类组成、多样性等方面入手,探讨拉鲁湿地浮游植物群落时空分布特征及其驱动因子,为研究拉鲁湿地生态系统和稳定发展提供基础资料。结果表明:1)拉鲁湿地共鉴定出浮游植物532种(含变种和变型),隶属于8门13纲36目74科130属,物种组成表现为硅藻-绿藻-蓝藻型。2)拉鲁湿地浮游植物群落特征参数在不同季节和不同生境之间存在差异。夏季浮游植物群落的Shannon-Wiener多样性指数显著高于秋季和春季,Simpson优势度指数显著高于秋季。秋季浮游植物群落的Pielou均匀度指数显著低于夏季和春季。春季浮游植物群落的Margalef丰富度指数显著低于夏季和秋季。沼泽生境的浮游植物群落的Margalef丰富度指数显著高于湿草甸生境。3)季节是浮游植物群落组成差异的关键因素,生境对浮游植物群落组成的影响较弱,夏季的距离衰减模式比秋季和春季更强。4)拉鲁湿地不同的浮游植物群落参数与不同环境因子之间存在显著的关联。5)空间因素在解释浮游植物群落变异方面具有显著贡献,而快速变化的水质变量在决定浮游植物的季节变化中起着重要作用。季节和缓慢变化水质因子的解释能力相对较弱,但仍对浮游植物群落的变异有一定影响。 |
| 关键词: 拉鲁湿地 浮游植物 时空分布 环境因子 西藏 |
| DOI：10.18307/2024.0216 |
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| 基金项目:西藏自治区自然科学基金重点项目(XZ202301ZR0055G)、国家自然科学基金项目(32070418)和2022 年中央财政支持地方高校改革发展专项资金 (藏财预指［2022］1号)联合资助。 |
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| Spatial-temporal distribution characteristics and its driving factors of phytoplankton community in Lhalu Wetland, Tibet,China |
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Liu Yang1,2,3, An Ruizhi1,2,3, Yang Hao1, Zhang Yanqiu1, Chen Junlin1, Ma Wenqiang1, Ba Sang1,2,3
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1.Laboratory of Wetland and Catchment Ecosystem in Tibetan Plateau, School of Ecology and Environment, Tibet University, Lhasa 850000, P.R. China;2.Center for Carbon Neutrality in the Earth's Third Pole, Tibet University, Lhasa 850000, P.R. China;3.Key Laboratory of Biodiversity and Environment on the Qinghai-Tibet Plateau, Ministry of Education, School of Ecology and Environment, Tibet University, Lhasa 850000, P.R. China
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| Abstract: |
| In order to understand the spatial and temporal distribution characteristics and driving factors of the phytoplankton community in the Lhalu Wetland of Tibet, qualitative and quantitative samples were collected in the main water systems of the wetland in July and October 2021, and May 2022. A total of 126 water samples were collected to explore the species composition and diversity in different seasons and habitats, providing basic data for the study of the ecosystem and sustainable development of the Lhalu Wetland. The results showed that: 1) A total of 532 species of phytoplankton (including varieties and variants) were identified, belonging to 8 phyla, 13 classes, 36 orders, 74 families, and 130 genera, with a species composition of bacillariophyta-chlorophyta-cyanophyta; 2) Significant differences were observed in the characteristics of the phytoplankton community parameters among different seasons and habitats. The Shannon-Wiener diversity index of phytoplankton community in the summer was significantly higher than that in the autumn and spring, while the Simpson dominance index was significantly higher in summer. The Pielou evenness index of phytoplankton community in the autumn was significantly lower than that of the summer and spring. The Margalef richness index of phytoplankton community in the spring was significantly lower than that of the summer and autumn. And that in marsh habitats was significantly higher than that in wet meadow habitats. 4) Season was identified as a key factor influencing the differences in planktonic algae community composition, followed by habitat. The distance decay pattern was more pronounced in summer than that in the autumn and spring. 5) Significant correlations were found between different phytoplankton community parameters and environmental factors in the Lhalu Wetland. 6) Spatial factor made a significant contribution to the variation of the phytoplankton community, while fast-changing water quality variables played a crucial role in determining the seasonal variations of phytoplankton. The explanatory power of season and slow-changing water quality variables was relatively weak but still exerted certain influence on the variation of the phytoplankton community. |
| Key words: Lhalu Wetland phytoplankton temporal and spatial patterns environmental factors Tibet |
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