The MiLA tool: Modeling greenhouse gas emissions and cumulative energy demand of energy crop cultivation in rotation

摘要: Abstract Crop rotations are part of current agricultural practice, since they and their effects can contribute to a sustainable cropping system. However, in Life Cycle Assessment (LCA) studies, crop rotation insufficiently considered, these difficult measure. LCA studies from production typically take only one vegetation period into account. As result, the consideration how assessed is influenced by previous (crop effects) including: (1) nutrient carryover, (2) reduction operational requirements (3) different intensity timing farming activities, outside system boundary. ignoring may lead incorrect interpretation results consequently poor management as well policy decisions. A new tool called “Model for integrative Agriculture (MiLA)” presented this work. MiLA has been developed assess GHG emissions cumulative energy demands (CED) systems taking characteristics cultivation This enables user analyze at farm level order identify mitigation options energy-efficient systems. The was applied case study, including two regions Germany with goal demonstrating effectiveness on results. Results show that influence emission result individual − 34% up + 99% CED − 16 + 89%. Expanding boundary whole account providing based functional units improves helps those making assessment draw more realistic picture interactions between crops while increasing reliability