本研究目的在評估DNDC (De Nitrification and De Composition)模式在不同耕作管理及氣候情境下，對於台灣水稻田溫室氣體排放估算之能力◦經與實測值比較之結果顯示，水稻田二氧化碳及甲烷排放量以DNDC模式模擬可得到符合實際之結果，同時，由土壤質地，水分管理及氣候情境的敏感度分析，可瞭解溫室氣體排放的潛勢，如果能配合更多土壤或管理的資料，DNDC模式可作為估算農業生產過程溫室氣體排放的可接受工具◦此外，模式估算和地理資訊系統相結合，由不同空間差異資訊下，將扮演評估台灣水稻田溫室氣體排放潛力之重要角色◦
The De nitrification and De composition (DNDC) model was evaluated for its ability to estimate greenhouse gases emissions from agricultural land in Taiwan under various management practices and climate scenarios. Compared with actual observation data in paddy field, the results indicated that the model could estimate the CH4 and CO2 emissions satisfactorily. In addition, the sensitivity analysis of the soil texture, water management and climate scenarios could be used to understand the potential of greenhouse gases emissions. By incorporating necessary modifications based on the local soil properties and management practices, the DNDC model was proved to be an acceptable tool to estimate greenhouse gases emissions during the processes of agricultural production. Moreover, the DNDC model integrated with the spatial information from GIS databases could play an important role in evaluating the potential of greenhouse gas emissions from paddy fields in Taiwan.
