Matrix Approach to Land Carbon Cycle Modeling

Land ecosystems contribute to climate change mitigation by taking up approximately 30% of anthropogenically emitted carbon. However, estimates the amount and distribution carbon uptake across world's or biomes display great uncertainty. The latter hinders a full understanding mechanisms drivers land uptake, predictions future fate sink. is needed as evidence inform strategies such afforestation schemes. To advance cycle modeling, we have developed matrix approach. models use balance equations represent exchanges among pools. Our approach organizes this set into single equation without altering any processes original model. enables development theoretical framework for general, transient behavior cycle. While input residence time are used quantify storage capacity at steady state, third quantity, potential, integrates fluxes with define dynamic disequilibrium under global change. can help address critical contemporary issues in including pinpointing sources model uncertainty accelerating spin-up tens times. accelerated liberates from computational burden that comprehensive parameter sensitivity analysis assimilation observational data improve accuracy. Such efficiency offered substantial improvement using ever-increasing availability. Overall, offers step forward modeling