Early-warning signals for imminent regime shifts in multi-stable systems are highly desirable because it is often difficult to revert a system to the previous state once a transition has occurred. In this paper, two indicators, the phase lag and amplitude difference of the system's response, are extended to detect early-warning signals of a periodically driven, bistable complex system with noise. Our results show that both indicators can announce a regime shift of a complex system with small noise, namely, the critical point of the regime shift near a bifurcation point of the corresponding deterministic system. However, they fail to early indicate the regime shift in the case of large noise where the shift is far from the original bifurcation point. Based on the moment-expanding scheme, we reduce a large noise to a small one, and then both indicators work well again. We illustrate this approach via a parameterized lake eutrophication model verified by data. The regime shift to eutrophication could be detected in advance by studying the phase lag and amplitude difference of phosphorus concentrations. A basic statistical test is performed for the robustness of the proposed indicators. This approach provides a theoretical basis to prevent ecological environment deteriorations.
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November 2018
Research Article|
November 30 2018
Detecting early-warning signals in periodically forced systems with noise
Special Collection:
Multistability and Tipping
Jinzhong Ma;
Jinzhong Ma
1
Department of Applied Mathematics, Northwestern Polytechnical University
, Xi’an 710072, China
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Yong Xu;
Yong Xu
a)
1
Department of Applied Mathematics, Northwestern Polytechnical University
, Xi’an 710072, China
2
Department of Physics, Humboldt University at Berlin
, Berlin 12489, Germany
3
Potsdam Institute for Climate Impact Research
, Potsdam 14412, Germany
a)Author to whom correspondence should be addressed: hsux3@nwpu.edu.cn
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Jürgen Kurths
;
Jürgen Kurths
2
Department of Physics, Humboldt University at Berlin
, Berlin 12489, Germany
3
Potsdam Institute for Climate Impact Research
, Potsdam 14412, Germany
4
Institute of Applied Physics of the Russian Academy of Sciences
, Nizhny Novgorod 603950, Russia
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Haiyan Wang;
Haiyan Wang
5
School of Marine Sciences, Northwestern Polytechnical University
, Xi’an 710072, China
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Wei Xu
Wei Xu
1
Department of Applied Mathematics, Northwestern Polytechnical University
, Xi’an 710072, China
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a)Author to whom correspondence should be addressed: hsux3@nwpu.edu.cn
Chaos 28, 113601 (2018)
Article history
Received:
November 06 2017
Accepted:
November 04 2018
Citation
Jinzhong Ma, Yong Xu, Jürgen Kurths, Haiyan Wang, Wei Xu; Detecting early-warning signals in periodically forced systems with noise. Chaos 1 November 2018; 28 (11): 113601. https://doi.org/10.1063/1.5012129
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