“…Agricultural soil Nr emissions can be estimated by emission factor methods, − which multiply N inputs by fixed factors; parametric models, ,,,− which compute emissions as functions of N inputs, meteorology, and other conditions; or mechanistic models, ,,,,− which represent nitrogen cycling as a series of processes such as nitrification and denitrification that are influenced by soil properties, meteorology, and farming practices. Because emission rates, sensitivities of air pollution to emissions, and human populations exposed to air pollution are all spatially heterogeneous, ,,− , it is important to assess agricultural Nr impacts employing a quantifiable index in a consistent and spatially explicit manner. , However, most previous studies simulated soil Nr emissions separately ,,,, (Table ) or insufficiently considered spatial heterogeneity or lacked an aggregate metric (Table S1). ,,,,,, Although a handful of studies have linked biogeochemical modeling with air quality modeling to capture the variable impacts of agricultural NO and NH 3 emissions on air quality and health, ,,,, the high computational burden of three-dimensional air quality models limits the number of cases that can be considered.…”