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Inferring species interactions using Granger causality and convergent cross mapping

Barraquand, Frédéric ; Picoche, Coralie ; Detto, Matteo ; Hartig, Florian



Abstract

Identifying directed interactions between species from time series of their population densities has many uses in ecology. This key statistical task is equivalent to causal time series inference, which connects to the Granger causality (GC) concept: x causes y if x improves the prediction of y in a dynamic model. However, the entangled nature of nonlinear ecological systems has led to question ...

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