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Multivariate Conditional Granger Causality Analysis for Lagged Response of Soil Respiration in a Temperate Forest
2013
Entropy
Ecological multivariate systems offer a suitable data set on which to apply recent advances in information theory and causality detection. These systems are driven by the interplay of various environmental factors: meteorological and hydrological forcing, which are often correlated with each other at different time lags; and biological factors, primary producers and decomposers with both autonomous and coupled dynamics. Here, using conditional spectral Granger causality, we quantify directional
doi:10.3390/e15104266
fatcat:eiqp36eh65b2xezna3pv4vclmm