| 引用本文: | 刘洋,张艳秋,宋文涛,龚秋丽,刘傲,陈俊霖,安瑞志,巴桑.西藏拉鲁湿地浮游植物优势种时空动态及其生态适应性.湖泊科学,2024,36(6):1864-1878. DOI:10.18307/2024.0633 |
| Liu Yang,Zhang Yanqiu,Song Wentao,Gong Qiuli,Liu Ao,Chen Junlin,An Ruizhi,Ba Sang.The spatio-temporal dynamics and ecological adaptability of dominant phytoplankton species in Lhalu Wetland,Tibet,China. J. Lake Sci.2024,36(6):1864-1878. DOI:10.18307/2024.0633 |
|
| |
|
|
| 本文已被：浏览 316次 下载 457次 |
码上扫一扫！ |
|
|
| 西藏拉鲁湿地浮游植物优势种时空动态及其生态适应性 |
|
刘洋,张艳秋,宋文涛,龚秋丽,刘傲,陈俊霖,安瑞志,巴桑
|
|
1.西藏大学生态环境学院, 那曲麦地卡高寒湿地生态系统自治区野外科学观测研究站, 拉萨 850000;2.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;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
|
|
| 摘要: |
| 高寒城市湿地是研究全球环境变化下湿地生态系统的天然实验室,对西藏拉鲁湿地浮游植物优势种的时空分布及其生态适应性进行深入研究,对有效保护和管理这一脆弱的生态系统至关重要。根据拉鲁湿地的地理特征和水流状况,设置42个采样点,于2021年7月(丰水期)、2021年10月(枯水期)和2022年5月(平水期)采用定性和定量方法采集水样126个,鉴定浮游植物和识别优势种,通过运用生态位宽度、生态位重叠值、相对资源占有率和生态响应速率计算生态位,并结合总体联结性、χ2检验、联结系数(AC)、共同出现百分率(PC)及点相关系数(φ) 等方法计算种间联结性,从时间、空间和时空3个维度对浮游植物优势种的生态位和种间联结性进行综合分析。结果表明:1)拉鲁湿地丰水期共鉴定出浮游植物309种,枯水期为294种,平水期为284种,其中优势种8种,隶属2门7属,中型脆杆藻为3个水情期均出现的优势种。 2)优势种生态位宽度值差异较大,通过生态位宽度聚类分析可分为三大生态位类群,且时空生态位宽度的变化幅度受时间维度生态位宽度影响比较明显。3)在时间维度上,达到有意义的生态位重叠值(Oik＞0.3)种对比例较高,具有明显的时间同步性;在空间维度上,达到有意义的生态位重叠值(Oik＞0.3)种对比例较低,具有明显的空间异质性。在时空维度上,达到有意义的生态位重叠值(Oik＞0.3)种对比例较低,具有明显的时空交互性。4)拉鲁湿地浮游植物群落优势种生态响应速率在时间维度上显示出正反馈,在空间和时空维度上表现为负反馈,表明拉鲁湿地浮游植物群落存在群落多稳态,在空间和时空维度上的群落稳定性明显优于时间维度。5)拉鲁湿地浮游植物群落总体处于正向演替的稳定阶段,正联结种对多,显示出较为稳定的分布格局。本研究增强了对高寒城市湿地浮游植物优势种时空动态及其生态适应性的理解,为进一步研究拉鲁湿地浮游植物群落的稳定性和时空分布格局提供了重要依据。 |
| 关键词: 浮游植物 时空生态位 优势种 种间联结 拉鲁湿地 |
| DOI：10.18307/2024.0633 |
| 分类号: |
| 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(32070418,32270473)、青藏高原生物多样性与生态环境保护教育部重点实验室开放课题(KLBE2024010)和2022年中央财政支持地方高校改革发展专项资金项目(藏财预指[2022]1号)联合资助。 |
|
| The spatio-temporal dynamics and ecological adaptability of dominant phytoplankton species in Lhalu Wetland,Tibet,China |
|
Liu Yang1,2,3, Zhang Yanqiu4, Song Wentao4, Gong Qiuli4, Liu Ao1,2,3, Chen Junlin5, An Ruizhi1,2,3, Ba Sang1,2,3
|
|
1.Nagqu Mitika Alpine Wetland Ecosystem Field Scientific Observation and Research Station in Tibet Autonomous Region;2.Laboratory of Wetland and Catchment Ecosystem in Tibetan Plateau;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;4.Nagqu Mitika Alpine Wetland Ecosystem Field Scientific Observation and Research Station in Tibet Autonomous Region, School of Ecology and Environment, Tibet University, Lhasa 850000, P. R. China;5.Laboratory of Wetland and Catchment Ecosystem in Tibetan Plateau, School of Ecology and Environment, Tibet University, Lhasa 850000, P. R. China
|
| Abstract: |
| Alpine urban wetlands serve as natural laboratories for studying wetland ecosystems under global environmental changes. An in-depth study of the spatio-temporal distribution and ecological adaptability of dominant phytoplankton species in Lhalu Wetland of Tibet is crucial for the effective protection and management of this fragile ecosystem. Considering the geographical features and water flow conditions of Lhalu Wetland, 42 representative sampling sites were established. A total of 126 water samples were collected through qualitative and quantitative methods in July 2021 (wet season), October 2021 (dry season), and May 2022 (normal season). Phytoplankton were identified, and dominant species were recognized. Ecological niches were calculated using ecological niche width, niche overlap, relative resource occupancy, and ecological response rate were calculated, and the interspecific association was calculated by using the methods of overall interspecific connections, χ2-test, association coefficient (AC), percentage co-occurrence (PC) and percentage point correlation (φ). These approaches enabled a comprehensive analysis of the ecological niches and interspecific associations of dominant phytoplankton species across temporal, spatial, and spatiotemporal dimensions. The results showed that: 1) 309 species of phytoplankton were identified in the wet season, 294 in the dry season, and 284 in the normal season. There were 8 dominant species, belonging to 2 phyla and 7 genera, and Fragilaria intermidia was the dominant species in all three hydrological periods. 2) There was a significant difference in the ecological niche breadth of dominant species, which could be classified into three major ecological niche groups through niche breadth clustering analysis, and the spatio-temporal niche breadth exhibited more obvious changes influenced by the temporal dimension niche breadth. 3) In the temporal dimension, the proportion of species pairs had significant niche overlap (Oik>0.3) was higher, indicating evident temporal synchrony. In contrast, in the spatial dimension, the proportion of species pairs with significant niche overlap (Oik>0.3) was lower, showing evident spatial heterogeneity. Similarly, in the spatio-temporal dimension, the proportion of species pairs with significant niche overlap (Oik>0.3) was lower, demonstrating evident spatiotemporal interaction. 4) The ecological response rates of the dominant phytoplankton species in Lhalu Wetland formed positive feedback in the temporal dimension and negative feedback in the spatial and spatiotemporal dimensions, suggesting the existence of multiple stable states in the phytoplankton community, with greater stability in the spatial and spatio-temporal dimensions compared to the temporal dimension. 5) The phytoplankton community in Lhalu Wetland was generally in a stable phase of positive succession, with many positive associations among species, indicating a stable distribution pattern. These results enhanced our understanding of the spatio-temporal dynamics and ecological adaptability of dominant phytoplankton species in alpine urban wetlands, providing essential insights for further research on the stability and spatiotemporal distribution patterns of the phytoplankton community in Lhalu Wetland. |
| Key words: Phytoplankton spatio-temporal niche dominant species interspecific association Lhalu Wetland |
|
|
|
|
