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Long-term cyclic persistence in an experimental predator-prey system 期刊论文
NATURE, 2020, 577 (7789) : 226-+
作者:  Blasius, Bernd;  Rudolf, Lars;  Weithoff, Guntram;  Gaedke, Ursula;  Fussmann, Gregor F.
收藏  |  浏览/下载:8/0  |  提交时间:2020/04/16

Predator-prey cycles rank among the most fundamental concepts in ecology, are predicted by the simplest ecological models and enable, theoretically, the indefinite persistence of predator and prey(1-4). However, it remains an open question for how long cyclic dynamics can be self-sustained in real communities. Field observations have been restricted to a few cycle periods(5-8) and experimental studies indicate that oscillations may be short-lived without external stabilizing factors(9-19). Here we performed microcosm experiments with a planktonic predator-prey system and repeatedly observed oscillatory time series of unprecedented length that persisted for up to around 50 cycles or approximately 300 predator generations. The dominant type of dynamics was characterized by regular, coherent oscillations with a nearly constant predator-prey phase difference. Despite constant experimental conditions, we also observed shorter episodes of irregular, non-coherent oscillations without any significant phase relationship. However, the predator-prey system showed a strong tendency to return to the dominant dynamical regime with a defined phase relationship. A mathematical model suggests that stochasticity is probably responsible for the reversible shift from coherent to non-coherent oscillations, a notion that was supported by experiments with external forcing by pulsed nutrient supply. Our findings empirically demonstrate the potential for infinite persistence of predator and prey populations in a cyclic dynamic regime that shows resilience in the presence of stochastic events.


  
Cross-product manipulation with intertemporal constraints: An equilibrium model 期刊论文
ENERGY POLICY, 2019, 134
作者:  Guo, Nongchao;  Lo Prete, Chiara
收藏  |  浏览/下载:6/0  |  提交时间:2020/02/17
Virtual transactions  Financial transmission rights  Electricity price manipulation  Equilibrium models  Mathematical program with equilibrium constraints (MPEC)  
Improvements in atmospheric physical parameterizations for the Australian Community Climate and Earth-System Simulator (ACCESS) 科技报告
来源:World Meteorological Organization (WMO). 出版年: 2013
作者:  Zhian Sun
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/05
Observations  Numerical weather prediction  Climatology  Meteorology  Mathematical models  Australia  
Validation of Tsunami Warning Thresholds Using Inundation Modelling 科技报告
来源:World Meteorological Organization (WMO). 出版年: 2013
作者:  Burak Uslu;  Diana Greenslade
收藏  |  浏览/下载:0/0  |  提交时间:2019/04/05
Observations  Numerical weather prediction  Climatology  Meteorology  Mathematical models  Australia  
BLUElink III Workpackage P4.2 Littoral-Zone Field Program 科技报告
来源:World Meteorological Organization (WMO). 出版年: 2013
作者:  Nick Mortimer;  Graham Symonds
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/05
Ocean-atmosphere interaction  Oceanography  Littoral zone  Mathematical models  Australia  
PACCSAP Wind-wave Climate: High resolution wind-wave climate and projections of change in the Pacific region for coastal hazard assessments 科技报告
来源:World Meteorological Organization (WMO). 出版年: 2013
作者:  [null]
收藏  |  浏览/下载:4/0  |  提交时间:2019/04/05
Wave  Marine meteorology  Mathematical models  Region V - South-West Pacific  
Global climate goals for temperature, concentrations, emissions and cumulative emissions 科技报告
来源:World Meteorological Organization (WMO). 出版年: 2011
作者:  Mickael R. Raupach;  Ian N. Harman;  Josep G. Canadell
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/05
Climate  Climate change  Greenhouse gas (GHG)  Radiative forcing  Mathematical models  Australia  
Evaluation and implementation of AUSWAVE 科技报告
来源:World Meteorological Organization (WMO). 出版年: 2011
作者:  Tom Durrant;  Diana Greenslade
收藏  |  浏览/下载:3/0  |  提交时间:2019/04/05
Weather  Numerical weather prediction  Ocean-atmosphere interaction  Mathematical models  Australia  
Testing and diagnosing the ability of the Bureau of Meteorology's Numerical Weather Prediction systems to support prediction of solar energy production 科技报告
来源:World Meteorological Organization (WMO). 出版年: 2010
作者:  Paul A. Gregory;  Centre for Australian Weather and Climate Research;  Lawrence Rikus;  Jeffrey David Kepert
收藏  |  浏览/下载:4/0  |  提交时间:2019/04/05
Australia  Weather  Weather forecasting  Climatic factors  Mathematical models  Solar energy