Tracking and forecasting ecosystem interactions in real time

Evidence shows that species interactions are not constant but change as the ecosystem shifts to new states. Although controlled experiments and model investigations demonstrate how nonlinear interactions can arise in principle, empirical tools to track and predict them in nature are lacking. Here we...

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Veröffentlicht in:	Proceedings of the Royal Society. B, Biological sciences Biological sciences, 2016-01, Vol.283 (1822), p.20152258
Hauptverfasser:	Deyle, Ethan R., May, Robert M., Munch, Stephan B., Sugihara, George
Format:	Artikel
Sprache:	eng
Schlagworte:	Animals Aquatic Organisms - physiology Changing Interaction Strength Community Matrix Ecosystem Empirical Dynamics Models, Theoretical Nonlinear Nonlinear Dynamics Population Dynamics S-Map State Space Reconstruction Time Factors Zooplankton - physiology
Online-Zugang:	Volltext
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