Four decades of satellite observations reveal climate-driven shifts and spatial heterogeneity in shallow lake Chlorophyll-a dynamics
文献类型：期刊论文
| 作者 | Li, Huan1,5; Somogyi, Boglarka1; Chen, Xiaona2; Wan, Wei4; Duan, Zheng3; Woolway, R. Iestyn6; Toth, Viktor R.1 |
| 刊名 | WATER RESEARCH
 |
| 出版日期 | 2026-01-15 |
| 卷号 | 289页码:124925 |
| 关键词 | Water quality Section profile Littoral and pelagic zones Asynchronous change Ecological management |
| ISSN号 | 0043-1354 |
| DOI | 10.1016/j.watres.2025.124925 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Shallow lakes worldwide face escalating pressures from eutrophication and climate change, yet comprehensive monitoring of Chlorophyll-a (Chl-a) spatiotemporal dynamics remains challenging due to the high costs and logistical constraints of traditional sampling approaches across large, heterogeneous water bodies. Lake Balaton, a large shallow lake system (80 km long, 7 km wide, 3.7 m mean depth) in Central Europe, exemplifies these monitoring challenges while serving as a representative system for understanding climate-driven changes in temperate shallow lakes. Despite decades of in-situ measurements along the lake's centerline, fine-scale spatial patterns and long-term temporal trends in Chl-a remain poorly characterized due to sparse samplings. Using a machine-learning-derived optical remote sensing dataset (1984-2023) at 30 m spatial resolution, we conducted comprehensive spatiotemporal analysis of Chl-a dynamics and examined relationships with bathymetry, nutrient loading, and light availability features. Our analysis reveals an exponential west-to-east decline in Chl-a concentrations with distance from the primary nutrient source, characterized by a consistent decay rate of 0.04-0.06 km-1 (typically 0.05 km-1). Littoral zones consistently exhibited 1.3-2.8 times higher optical Chl-a concentrations than pelagic zones, reflecting integrated signals from phytoplankton, benthic algae, and submerged macrophytes. Phenological analysis demonstrated significant climate-driven shifts, with peak Chl-a timing advancing by 20 days over the study period and growing season onset occurring 10 days earlier, consistent with regional warming trends. These findings provide a transferable framework for satellite-based water quality monitoring in shallow lake systems and demonstrate the critical importance of accounting for spatial heterogeneity and climate-driven temporal shifts in lake management strategies globally. |
| URL标识 | 查看原文 |
| WOS关键词 | WATER-QUALITY ; PHOSPHORUS ; BALATON ; EUTROPHICATION ; ACCLIMATION ; TEMPERATURE ; NUTRIENTS ; PHENOLOGY ; COMMUNITY ; LIGHT |
| WOS研究方向 | Engineering ; Environmental Sciences & Ecology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001618950400001 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/219689]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Li, Huan; Wan, Wei |
| 作者单位 | 1.HUN REN Balaton Limnol Res Inst, Natl Lab Water Sci & Water Secur, H-8237 Tihany, Hungary; 2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 3.Lund Univ, Dept Phys Geog & Ecosyst Sci, S-22362 Lund, Sweden; 4.Peking Univ, Inst Remote Sensing & GIS, Sch Earth & Space Sci, Beijing 100871, Peoples R China; 5.ESGreen LLC, New York, NY 10005 USA; 6.Bangor Univ, Sch Ocean Sci, Menai Bridge, Wales |
| 推荐引用方式 GB/T 7714 | Li, Huan,Somogyi, Boglarka,Chen, Xiaona,et al. Four decades of satellite observations reveal climate-driven shifts and spatial heterogeneity in shallow lake Chlorophyll-a dynamics[J]. WATER RESEARCH,2026,289:124925. |
| APA | Li, Huan.,Somogyi, Boglarka.,Chen, Xiaona.,Wan, Wei.,Duan, Zheng.,...&Toth, Viktor R..(2026).Four decades of satellite observations reveal climate-driven shifts and spatial heterogeneity in shallow lake Chlorophyll-a dynamics.WATER RESEARCH,289,124925. |
| MLA | Li, Huan,et al."Four decades of satellite observations reveal climate-driven shifts and spatial heterogeneity in shallow lake Chlorophyll-a dynamics".WATER RESEARCH 289(2026):124925. |
入库方式： OAI收割
来源：地理科学与资源研究所
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