Satellite study shows most forests around the world are becoming less resilient to change nature
To explore the temporal variation in forest resilience, we used CSD indicators, here quantified in terms of temporal changes in TAC retrieved for two consecutive and independent periods ranging from 2000 to 2010 and from 2011 to 2020, and assessed the significance of the change in the sampled mean aggregated for different climate regions through a two-sided).
We point out that temporal dynamics of annual TAC are driven by two processes: the changes in the resilience of the system that affect the velocity of the recovery from external perturbations and the confounding effects of the changes in autocorrelation of the climate drivers that directly affect the autocorrelation of NDVI.
. For this purpose, we disentangled the temporal changes in TAC due to variations in autocorrelation in the climate drivers ) by adopting the space-for-time analogy and applied the RF model at an annual time step in a set of factorial simulations as follows:) is the RF model simulation obtained by accounting for the dynamics of all predictors, and the second term is the RF model simulation generated by considering all predictors dynamic except the factors of autocorrelation in climate that are kept constant to their first-year value .
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