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| 引用本文: | 黄林生,倪贵高,王康,赵晋陵,罗菊花.浅水湖泊水生植被和藻类水华时空演变遥感长期监测：以太湖流域长荡湖为例（1985—2021年）.湖泊科学,2025,37(2):368-377. DOI:10.18307/2025.0211 |
| Huang Linsheng,Ni Guigao,Wang Kang,Zhao Jinling,Luo Juhua.Long-term remote sensing monitoring of the spatiotemporal evolution of aquatic vegetation and algal blooms in shallow lakes: A case study of Lake Changdang in the Taihu Basin (1985-2021). J. Lake Sci.2025,37(2):368-377. DOI:10.18307/2025.0211 |
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| 浅水湖泊水生植被和藻类水华时空演变遥感长期监测：以太湖流域长荡湖为例（1985—2021年） |
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黄林生1，倪贵高1，2，王康1，2，赵晋陵1，罗菊花2
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1.安徽大学，农业生态大数据分析与应用技术国家地方联合工程研究中心，合肥 230601 ；2.中国科学院南京地理与湖泊研究所,湖泊与流域水安全全国重点实验室，南京 211135
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| 摘要: |
| 水生植被和藻类作为湖泊生态系统的主要初级生产者，对湖泊生态系统具有重要作用。在气候变化和人类活动的双重作用下，湖泊富营养化加剧，水生植被退化，藻类水华频发。开展湖泊水生植被群落和藻类水华的长期观测可为湖泊生态系统水生植被修复和藻类水华管控提供决策依据。本研究以太湖流域浅水湖泊长荡湖为研究区，基于1985—2021年的Landsat 5和8卫星数据，利用VBI（vegetation and bloom indices）草藻分类算法，开展了浮叶/挺水植被、沉水植被和藻类水华长时序时空演变分析。结果表明：36年来，长荡湖水生植被（包括浮叶/挺水植被和沉水植被）都呈现显著下降趋势，其中沉水植被下降趋势尤为明显，沉水植被从湖中心向岸边逐步退化，其覆盖度从1985年的75%下降至2021年的不足21%；自2011年起，长荡湖水生植被优势生活型从沉水植被转变为浮叶/挺水植被；2010年首次监测到水华发生，2020年和2021年连续两年均监测到湖中心有大面积水华。基于湖泊围网面积和气象数据分析发现，围网拆除是水生植被退化和优势生活型转变的主要因素。 |
| 关键词: 太湖流域 长荡湖 水生植被 藻类水华 围网 遥感 |
| DOI：10.18307/2025.0211 |
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| 基金项目:国家自然科学基金项目（42271377）资助 |
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| Long-term remote sensing monitoring of the spatiotemporal evolution of aquatic vegetation and algal blooms in shallow lakes: A case study of Lake Changdang in the Taihu Basin (1985-2021) |
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Huang Linsheng1，Ni Guigao1，2，Wang Kang1，2，Zhao Jinling1，Luo Juhua2
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1.National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Anhui University, Hefei 230601 , P.R.China ；2.State Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 211135 , P.R.China
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| Abstract: |
| Aquatic vegetation and algal, as primary producers within lake ecosystems, play crucial roles in the aquatic ecosystem health. However, the combined impacts of climate warming and intensified human activities have led to significant transformations of lake environment, such as eutrophication, degradation of aquatic vegetation, and the occurrence of algal blooms. Long-term monitoring of aquatic vegetation communities and algal blooms in lakes is essential for informed decision-making on aquatic vegetation restoration and algal bloom control. This study focused on long-term changes in aquatic vegetation communities and algal blooms in Lake Changdang, a shallow lake in Taihu Basin. Based on Landsat 5 and 8 satellite data during 1985-2021, we employed the vegetation and bloom indices algorithm, a classification algorithm capable of identifying aquatic vegetation and algal blooms, to analyze the temporal and spatial evolution of floating/emergent aquatic vegetation, submerged aquatic vegetation, and algal blooms. Results showed that a significant decline occurred in both floating-leaf/emergent vegetation and submerged vegetation within Lake Changdang over the past 36 years. Particularly, submerged aquatic vegetation gradually degraded from the center towards the shore, with the coverage decreasing from 75% in 1985 to ＜21% in 2021. Since 2011, the dominant aquatic vegetation community in Lake Changdang has transitioned from submerged vegetation to floating/emergent vegetation. Notably, presence of algal blooms was first detected in 2010, with subsequent large-scale occurrences in lake center observed in 2020 and 2021. Eutrophication and enclosure activities were identified as the primary factors of the degradation of aquatic vegetation. |
| Key words: Taihu Basin Lake Changdang aquatic vegetation algal blooms enclosure aquaculture remote sensing |
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