ABM

ABM simulates methane (CH4) emissions from animal slurry by modeling anaerobic biodegradation and the dynamics of multiple methanogenic microbial groups.

Key Features:

• Mechanistic framework: Captures interactions among methanogenic communities and includes five default methanogenic groups representing four known species and one uncultured methanogen, with the ability to define additional groups.
• Temperature sensitivity: Simulates short- and long-term responses of methanogenesis to temperature variations.
• Management integration: Incorporates effects of slurry management strategies such as removal frequency and treatment methods on CH4 emissions.
• R implementation: Implemented as an R package for computational simulation of scenarios and temporal dynamics.
• Field-scale simulation: Applied to full-scale slurry storage tanks and capable of reproducing delayed responses to temperature changes.

Scientific Applications:

• Methane emission estimation: Estimate CH4 emissions from animal slurry for inventories and comparative analyses.
• Mitigation planning: Assess impacts of slurry management practices and treatment methods on greenhouse gas emissions for mitigation planning.
• Microbial dynamics research: Investigate relative abundances and responses of multiple methanogenic groups to environmental drivers such as temperature.
• Model validation and field studies: Compare model predictions with observations from full-scale slurry storage tank studies.

Methodology:

Simulates interactions between defined methanogenic groups under varying environmental conditions, explicitly models temperature-driven dynamics and management effects, and notes that prediction uncertainty is influenced by variability in the hydrolysis rate constant.