Tracking and forecasting ecosystem interactions in real time.
Ontology highlight
ABSTRACT:
SUBMITTER: Deyle ER
PROVIDER: S-EPMC4721089 | biostudies-literature | 2016 Jan
REPOSITORIES: biostudies-literature
Publications
Tracking and forecasting ecosystem interactions in real time.
Deyle Ethan R ER May Robert M RM Munch Stephan B SB Sugihara George G
Proceedings. Biological sciences 20160101 1822
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 present a practical method, using available time-series data, to measure and forecast changing interactions in real systems, and identify the underlying mechanisms. The method is illustrated with mod ...[more]
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