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一个特定地点的预测模型,用于传统和有机农业中的泄露

Joel Kostensalo¹, Riitta Lemola², Tapio Salo²

¹Natural Resources Institute Finland, Natural Resources, Yliopistokatu 6B, FI-80100, Joensuu, Finland.

Journal of environmental management

|October 27, 2023

概括

为了农业生命周期评估,开发了新的洗模型. 有机农业每公出水量减少了20%,提供了有价值的环境决策工具.

科学领域:

农业科学农业科学
环境科学环境科学
土壤科学土壤科学

背景情况:

食品生产中营养物质的漏会导致显著的轻度缩.
现有的洗模型通常需要广泛的特定地点数据,限制了农场一级的应用.
目前的模型对于芬兰有机农业的适用性在很大程度上是未知的.

研究的目的:

开发适用于传统和有机农业的新型,不那么数据密集的洗模型.
为农业管理中的环境决策提供工具.
提高农产品生命周期评估的准确性.

主要方法:

利用了来自芬兰两个漏场的16年的现场测量.
根据土壤类型,降雨量,种植方法和的可用性,开发了泄漏的预测方程.
评估了平衡与落地土壤酸盐度的预测能力.

主要成果:

土壤类型,降雨量,有机农业状态和土壤酸度是泄漏的关键预测因素.
秋季土壤酸度是一个比计算的平衡更有价值的预测指标.
与传统农业相比,有机农业实践导致平均每公出的量减少20%.

结论:

开发的洗模型适合纳入生命周期评估框架.
使用土壤酸盐的模型在各种作物类型和作物旋转中具有多样性.
这些模型为评估农业实践对环境的影响提供了改进的工具.

关键词:

排放模型排放模型欧洲化是什么意思?芬兰芬兰芬兰芬兰生命周期评估生命周期评估的泄露是指的泄露.有机农业是有机农业.

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