Concepts in modelling N2O emissions from land use

摘要: Modelling nitrous oxide (N2O) emissions from soil is challenging because multiple biological processes are involved that each respond differently to various environmental and factors. Soil water content, organic carbon, temperature pH often used in models predict N2O emissions, yet for of these factors there concepts not fully understood. Though a ubiquitous measure models, the application functions based on filled pore space across soils vary bulk density ideal. Diffusion gases solutes controlled by volume fractions air present. Across with different densities, both terms at constant space. carbon influences two ways: as source energy denitrifiers also driving oxygen demand creation anaerobic zones soil. through its effect activity microorganisms enzymes. A variety response have been proposed. The preferred function should contain optimum can be varied climatic conditions account microbial adaptation. direct indirect rates product ratios nitrification denitrification. optima adaptation need considered modelling. Methodological issues such microsite versus measurements apportioning fluxes N transformation remain an impediment characterising influence other emissions. Quantifying individual using regression analysis requires all experimentally. Boundary line provides way defining single input variable where influencing variables controlled. Such analyses aid definition shape magnitude incorporated into process simulation models. Process/mechanistic offer greater transferability than empirical but careful consideration temporal spatial scale availability data run critical developing model structure.