Miaomiao Chen , Fei Xiao , Zhou Wang , Yadong Zhou , Wangzheng Shen , Qi Feng , Enhua Li , Yun Du
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引用次数: 0
Abstract
Using the improved Quasi-Analytical Algorithm (QAA) and Landsat data, we documented the long-term changes in water clarity of the 17 largest lakes in the Middle-Lower Yangtze Plain from 1984 to 2023. A comprehensive dataset with over 4600 water clarity maps, reconstructed from 2511 Landsat series images, was compiled. The water clarity changes of these 17 lakes have a clear seasonal variation pattern, with the highest in summer and the lowest in winter. Over the past 40 years, water clarity of 59 % lakes shows a downward trend, with Junshan Lake showing the highest decrease rate of −0.0231 m/yr. 41 % lakes water clarity are showing an upward trend. From 1984 to 1990, the highest average (Secchi disk depth) values were recorded in Changhu Lake, Junshan Lake, Honghu Lake, Futou Lake, and Gehu Lake. These lakes, however, experienced the most significant declines compared to period from 2021 to 2023. Chaohu Lake, Taihu Lake, Caizi Lake, and Nanyi Lake, which had the lowest average during 1984–1990, showed the most substantial increases. Analyzing the monthly distribution of water level and data reveals that water clarity exhibits different seasonal variations in relation to water levels. The comprehensive dataset and analysis provide a crucial scientific basis for informed water resource management and policy-making in the region.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.