Achieving least cost GHG abatement opportunities in Australian grain farms - case study simulation outputs

This collection consists of annual values for gross margins, changes in sequestered carbon and soil-based emissions of nitrous oxide simulated for eight case study farms (described in publications included in Related Links). The farms were located across the three agroecological regions of Australia’s grains belt and had diverse soils, climate, crops and management practices. The farmers’ usual management was described together with a range of management practice scenarios that might reduce the net global warming potential (GWP) of soil-based emissions from (1) increasing sequestered carbon and/or (2) reducing N2O emissions. The scenarios included altering the timing and amount of N fertiliser applied, burning or retaining crop residues, using manure, increasing the cropping intensity (i.e., average number of crops per year using short term cover crops), and combinations of these practices. Gross margins were calculated annually from yields using crop price and direct costs of production applicable to each farm. The net GWP and gross margins of scenarios was compared to a high emissions scenario consisting of usual practice with burnt residues imposed. The scenarios were simulated for a 100-year period and repeated with ten start dates.\nLineage: The soil types and usual crop management practice at each case study was described by interviewing the farm managers. The climate, soil and management at each farm were used to set the Agricultural Production Systems sIMulator model (APSIM v7.5).

本数据集包含8个案例研究农场（相关链接刊载的文献对其进行了详细说明）的模拟年度数据，指标涵盖毛利、固碳量变化以及土壤源氧化亚氮排放。这些农场分布于澳大利亚谷物带的三大农业生态区，土壤、气候、作物种类与管理实践均存在显著差异。研究不仅记录了各农场的常规管理模式，还设置了一系列可降低土壤源排放全球变暖潜势（Global Warming Potential, GWP）的管理情景，其实现路径分为两类：(1) 提升固碳量，或(2) 减少氧化亚氮（Nitrous Oxide, N₂O）排放。所设置的情景包括调整氮肥施用时机与施用量、焚烧或保留作物残体、施用粪肥、提高种植强度（即通过短期覆盖作物提升年均种植作物数量），以及上述措施的组合方案。研究基于各农场对应的作物价格与直接生产成本，结合作物产量逐年计算毛利。所有情景的全球变暖潜势净值与毛利，均以“常规管理+焚烧残体”的高排放情景作为对照基准。所有情景均以100年为周期进行模拟，并设置10个起始日期重复运行。
数据集溯源：通过访谈各农场管理者，明确了各案例研究农场的土壤类型与常规作物管理模式。随后以各农场的气候、土壤与管理参数为基础，搭建了农业生产系统模拟器（Agricultural Production Systems sIMulator, APSIM v7.5）模型。