Satellite Observations Reveal Widespread Color Variations in Global Lakes Since the 1980s

IF 4.6 1区 地球科学 Q2 ENVIRONMENTAL SCIENCES Water Resources Research Pub Date : 2024-12-26 DOI:10.1029/2023wr036926
Xiaoyi Shen, Chang-Qing Ke, Zheng Duan, Yu Cai, Haili Li, Yao Xiao
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Abstract

The color of lakes is an essential indicator of the local ecological state, and the corresponding changes can reflect the physical and biochemical processes of lakes. However, worldwide changes in lake color and their drivers remain largely unknown. Here, we analyze the long-term color distributions and changes of 67,579 lakes worldwide from 1984 to 2021 by utilizing 32 million consistent satellite observations. Blue lakes (<495 nm) were primarily located in high-latitude and high-elevation areas. Green lakes (495–560 nm) were more prevalent in densely populated middle-latitude regions, while most red and yellow colors (≥560 nm) were located in the Southern Hemisphere. Our findings reveal distinct temporal patterns of lake color changes, with the majority of global lakes shifted toward shorter wavelengths. This phenomenon is more common in Warm Temperate and Boreal zones. Lake color changes are closely linked to basin vegetation conditions, population, water volume change, and lake area. Our study provides essential references for monitoring the ecological status of global lakes, further supporting the sustainable development of water resources in the future.
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来源期刊
Water Resources Research
Water Resources Research 环境科学-湖沼学
CiteScore
8.80
自引率
13.00%
发文量
599
审稿时长
3.5 months
期刊介绍: Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.
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