基于场景的建模方法,为改善爱尔兰草原气利用效率的气管理策略提供信息
Sudipto Bhowmik1, Rowan Fealy2, David Wall3
1ICARUS & Department of Geography, Maynooth University, Maynooth, Kildare, Ireland; Crops, Environment & Land Use Programme, Teagasc, Johnstown Castle, Co. Wexford, Ireland.
Journal of environmental management
|August 22, 2025
概括
爱尔兰的气政策需要地理数据来实现可持续性. 这项研究使用了DNDC模型来确定影响草产量和损失的关键土壤和气候因素,改善了4R营养管理.
科学领域:
- 农业科学
- 环境科学
- 土壤科学
背景情况:
- 目前的爱尔兰 (N) 管理政策,包括绿皮书 (GB) 和第五次酸盐行动计划 (NAP),没有明确考虑影响吸收和损失的地理因素.
- 这种缺失阻碍了农场的可持续性和与4R营养管理 (4RNS) 目标的协调.
研究的目的:
- 使用脱分解 (DNDC) 模型识别草产量和N损失的区域 (1组) 和地方 (2组) 变量.
- 评估GB和NAP政策在不同的爱尔兰草原条件下对产量和N损失的影响.
主要方法:
- 在三个爱尔兰草原地区 (约翰斯敦城堡土壤和沙土,摩尔帕克沙土) 采用了DNDC模型.
- 通过从文献中确定可靠模型性能的最小输入数据进行场景分析.
- 根据GB和NAP政策进行模拟的管理,以评估对产量和损失途径的影响 (NH3挥发,N2O排放,NO3漏).
主要成果:
- 该政策模拟了较低的草产量 (-4.98%至 -15.62%),但减少了NH3挥发 (-29.40%至 -30.35%),N2O排放 (-30.49%至 -35.15%) 和NO3出 (-55.51%至 -61.38%).
- 产量和N2O排放的关键组1和2变量包括土壤沙含量,散装密度 (BD) 和土壤有机碳 (SOC).
- 年度降雨和平均温度对NH3挥发至关重要,而NO3漏则取决于土壤特性 (沙子,粘土,pH) 和气候变量.
结论:
- 将地理因素 (土壤类型,气候) 纳入管理政策对于提高爱尔兰草原的可持续性至关重要.
- DNDC模型有效地确定了优化使用效率和最小化环境损失的关键变量.
- 为了更好地实现4RNS目标,对特定地点的数据和建模对于改进GB和NAP等政策至关重要.
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