Swedish University of Agricultural Sciences (SLU), Department of Energy and Technology, P.O. Box 7032, 750 07 Uppsala, Sweden.
Swedish University of Agricultural Sciences (SLU), Department of Ecology, P.O. Box 7044, 750 07 Uppsala, Sweden.
Sci Total Environ. 2020 Jul 10;725:138332. doi: 10.1016/j.scitotenv.2020.138332. Epub 2020 Apr 1.
Nitrogen fertilisation is an essential part of modern agriculture, providing food for a growing human population, but also causing environmental impacts when reactive nitrogen (N) is released to the environment. The amount and impact of these emissions are difficult to quantify in life cycle assessment (LCA), due to their site-dependent nature. This study compared seven models for direct soil nitrous oxide (NO) emissions, seven models for N leaching and five characterisation models for marine eutrophication impact assessment, selected to represent medium-effort options for accounting for spatial variation in emissions and impact assessment. In a case study, the models were applied to wheat cultivation at two Swedish sites to estimate climate and marine eutrophication impact. Direct NO emissions estimated by the models varied by up to five-fold at one of the sites and contributed 21-56% of the total climate impact. Site-dependent models gave both lower and higher NO emissions estimates than the site-generic Tier 1 model from the Intergovernmental Panel on Climate Change (IPCC). Estimated N leaching also varied by up to fivefold at one of the sites and contributed 47-93% of the total eutrophication potential, depending on model choice. All site-dependent models estimated lower N leaching than the site-generic IPCC Tier 1 model. Marine eutrophication impact estimates varied by almost an order of magnitude depending on characterisation model choice. The large variation between models found in this study highlights the importance of model choice for N emissions and marine eutrophication impact assessment in LCA of crop cultivation. Due to the divergence of model outcomes and different limitations of some of the models, no general recommendations on choosing soil NO emissions model, N leaching model or characterisation model for marine eutrophication could be given.
氮施肥是现代农业的重要组成部分,为不断增长的人口提供了食物,但当活性氮(N)释放到环境中时,也会对环境造成影响。由于其具有地点依赖性,这些排放物的数量和影响在生命周期评估(LCA)中很难量化。本研究比较了七种直接土壤一氧化二氮(NO)排放模型、七种氮淋失模型和五种海洋富营养化影响评估特征模型,这些模型被选为代表考虑排放和影响评估空间变化的中等努力选项。在一个案例研究中,这些模型被应用于瑞典的两个地点的小麦种植,以估计气候和海洋富营养化影响。模型估计的直接 NO 排放在一个地点变化高达五倍,占总气候影响的 21-56%。依赖地点的模型给出的 NO 排放估计值低于或高于政府间气候变化专门委员会(IPCC)的通用 Tier 1 模型。一个地点的氮淋失估计值变化高达五倍,占总富营养化潜力的 47-93%,具体取决于模型选择。所有依赖地点的模型估计的氮淋失都低于通用 IPCC Tier 1 模型。海洋富营养化影响估计值取决于特征模型选择,变化幅度接近一个数量级。本研究中发现的模型之间的巨大差异突出了模型选择对于作物种植的 LCA 中氮排放和海洋富营养化影响评估的重要性。由于模型结果的分歧以及一些模型的不同限制,无法对土壤 NO 排放模型、氮淋失模型或海洋富营养化特征模型的选择给出一般性建议。