An equation-free modeling approach known as empirical dynamic modeling (EDM) takes advantage of long time-series of data to identify the “stochastic chaos” that forces nonlinear population dynamics, hence overcoming the limitations of traditional model fitting. The apparent success of this data-driven approach validates continuing investments in systematic long term environmental monitoring. The future value of such data is inestimable.

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