Global sensitivities of forest carbon changes to environmental conditions

The responses of forest carbon dynamics to fluctuations in environmental conditions at a global scale remain elusive. Despite the understanding that favourable promote growth, these have been challenging observe across different ecosystems and climate gradients. Based on annual time series aboveground biomass (AGB) estimated from radar satellites between 1992 2018, we present changes provide insights their sensitivities scales. Our findings indicate differences AGB classes, with regions stocks 50–125 MgC ha−1 depict highest gains losses, while 125–150 lowest losses absolute terms. Net change estimates show arc-of-deforestation Congo Basin were main hotspots loss, substantial part European gained during last three decades. Furthermore, systematically positively correlated cover fraction. At same time, it was not necessarily case other variables, such as air temperature water availability bivariate level. We also used model attribution method demonstrate atmospheric dominant control (56% total study area) followed by water-related (29% vegetation (15% conditions. Regionally, find evidence long-term growth covary sinks inferred inversions. results describe contributions atmosphere, new into underlying mechanisms coupling cycle.