Publications by authors named "Luca Bechini"
Simulation models represent soil organic carbon (SOC) dynamics in global carbon (C) cycle scenarios to support climate-change studies. It is imperative to increase confidence in long-term predictions of SOC dynamics by reducing the uncertainty in model estimates. We evaluated SOC simulated from an ensemble of 26 process-based C models by comparing simulations to experimental data from seven long-term bare-fallow (vegetation-free) plots at six sites: Denmark (two sites), France, Russia, Sweden and the United Kingdom.
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- Biogeochemical simulation models help quantify how agricultural systems impact carbon (C) sequestration and greenhouse gas (GHG) dynamics, but differing models often show inconsistent predictions due to varying processes in their C and nitrogen (N) cycle equations.
- A review of models used by the CN-MIP consortium identified issues like poorly defined pedo-climatic conditions (46.2% impact), limitations in management practice simulation (33.1% impact), and scale variations (20.7% impact) affecting model performance.
- Future developments in modeling should focus on including factors like soil microbial biomass, the effects of nitrogen shortages on soil organic matter (SOM), and more accurate gas transport simulations in soil.