Extended Data Fig. 5: Sensitivity analysis of how much GPP satellites would have to be missing to render the GPP–respiration trends shown in Fig. 2a non-significant.
From: Globally rising soil heterotrophic respiration over recent decades
We ran a sensitivity analysis that assumed a conservative (that is, high) GPP trend of 0.5% yr-1, and repeatedly re-fitted the Fig. 2a models assuming that satellites missed 0%, 10%, 20%,...100% of this gain. This figure plots the ‘missed’ percentage (x axis) versus the P-value of the linear regression (y axis) for each respiration flux (RH and RS) and GPP or SIF data product (‘GPPadjusted’, that is, adjusted for the assumed ‘missed’ percentage). Even if satellites are missing 100% of this large assumed GPP increase, most of the temporal trends shown in Fig. 2a trends remain highly significant.
