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- W1998425239 abstract "Many individual aquatic ecosystems are hydraulically interconnected and form specific network structures that display integral characteristics. The functional assessment of individual aquatic ecosystems is important, yet inadequate, for developing effective protection and restoration policies in basins, in which multiple interconnected aquatic ecosystems are involved. Here, we developed a framework to use ecological network analysis for functional assessment of a large system composed of various aquatic ecosystems in the context of network-based management. Five storage factor-included network indices were used to characterize the system functioning that was defined here as a performance with a certain of system activities and organization. A deviation index (D), combining normalized input, internal and output ascendency, was used to analyze the degree and causes of system functional variation. China's Baiyangdian Lake, a typical aquatic ecosystem, was taken as a case study. The results demonstrated that these storage factor-included network indices could well depict the system attributes and provide integral functional assessment of the aquatic ecosystems network in the Baiyangdian Basin. The functions of the aquatic ecosystems network presented distinct seasonal fluctuations, and there was a continuous decline in system functioning over the period of 1959–1978. Both natural and human causes contributed to the functional degradation, while the latter one dominated the degradation. Current study provided an example of how the network analysis might improve the understanding of the integral functioning of interconnected aquatic ecosystems." @default.
- W1998425239 created "2016-06-24" @default.
- W1998425239 creator A5019860038 @default.
- W1998425239 creator A5042746626 @default.
- W1998425239 date "2011-12-01" @default.
- W1998425239 modified "2023-09-25" @default.
- W1998425239 title "Functional assessment of interconnected aquatic ecosystems in the Baiyangdian Basin—An ecological-network-analysis based approach" @default.
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- W1998425239 doi "https://doi.org/10.1016/j.ecolmodel.2011.10.002" @default.
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