B011-09
Observing, resolving and predicting the terrestrial carbon cycle and its sensitivity to climate.
Observing, resolving and predicting the terrestrial carbon cycle and its sensitivity to climate.
Monday, 7 December 2020: 16:32
Virtual
Abstract:
Understanding the processes regulating the net carbon (C) exchange across terrestrial ecosystems is a challenging task, largely due to uncertainties in terrestrial C states, processes and their dynamic responses to climate variability and disturbance. Both an integrated mechanistic understanding of climate forcings on C fluxes and their legacy effects on the terrestrial C balance are needed to understand and predict the net land C sink. Here we review recent efforts employing the Bayesian CARbon DAta-MOdel fraMework (CARDAMOM) approach—constrained by an array of in-situ and satellite-based terrestrial ecosystem observations (including measurements of leaf area, biomass, solar-induced fluorescence, groundwater storage, satellite-informed estimates of CO2 and CO surface fluxes, and eddy covariance datasets)—to test hypotheses on the state and evolution of terrestrial ecosystem C fluxes on seasonal-to-decadal timescales. We demonstrate that the combined observational constrains lead to substantial quantitative insights on the ecosystem-level photosynthetic sensitivity to climate, disturbance-recovery processes, carbon-water interactions, soil C cycling, and the role of lagged effects on ecosystem C exchanges, all of which are critical for improving predictions of the land C sink in the coming decades.