This ground-breaking look at modeling greenhouse gas emissions considers crop, livestock, and forestry productions systems. These are important sources and sinks of greenhouses gases, but estimates of the magnitude of gas fluxes are more uncertain than those for other economic sectors such as transportation and electricity generation. Recent improvements in process-level understanding, modeling software, and observational data used for model testing have increased the accuracy of model predictions, but substantial uncertainty remains, particularly regarding the potential for different management practices to mitigate emissions. The chapters in this volume demonstrate that both simple methods and complex models have strengths and limitations depending on stakeholder interest, scale of application, and other factors. Future improvement can be facilitated by organizing model input and testing data into web-accessible databases and by making model algorithms more available and transparent. Advances in Agricultural Systems Modeling 6. 2016. ASA, CSSA, and SSSA.. Item: B40821. View the Table of Contents (PDF).