Department of Environmental Science, Policy & Management, University of California, Berkeley, California, 94720, USA.
Ecol Appl. 2017 Mar;27(2):545-559. doi: 10.1002/eap.1465. Epub 2017 Feb 22.
Livestock agriculture is a major source of anthropogenic greenhouse gas (GHG) emissions, with a substantial proportion of emissions derived from manure management. Accurate estimates of emissions related to management practices and climate are needed for identifying the best approaches to minimize, and potentially mitigate, GHG emissions. Current emissions models such as those of the IPCC, however, are based on emissions factors that have not been broadly tested against field-scale measurements, due to a lack of data. We used a diverse set of measurements over 22 months across a range of substrate conditions on a working dairy to determine patterns and controls on soil-based GHG fluxes. Although dairy soils and substrates differed by management unit, GHG fluxes were poorly predicted by these or climate variables. The manure pile had the greatest GHG emissions, and though temperature increased and O concentration decreased following mixing, we detected almost no change in GHG fluxes due to mixing. Corral fluxes were characterized by hotspots and hot moments driven by patterns in deposition. Annual scraping kept the soil and accumulated manure pack thin, producing drier conditions, particularly in the warm dry season. Summed over area, corral fluxes had the greatest non-CO global warming potential. The field had net CH consumption, but CH uptake was insufficient to offset N O emissions on an area basis. All sites emitted N O with a similar or greater climate impact than CH . Our results highlight the importance of N O emissions, a less commonly measured GHG, from manure management and present potential opportunities for GHG emissions reductions.
畜牧业是人为温室气体(GHG)排放的主要来源,其中很大一部分排放来自粪便管理。为了确定最小化和潜在缓解 GHG 排放的最佳方法,需要对与管理实践和气候相关的排放进行准确估计。然而,目前的排放模型,如 IPCC 的模型,是基于排放因子的,由于缺乏数据,这些排放因子尚未经过广泛的现场测量测试。我们在一个工作奶牛场的 22 个月内使用了一系列不同的测量方法,以确定基于土壤的 GHG 通量的模式和控制因素。尽管奶牛场土壤和基质因管理单元而异,但这些因素或气候变量对 GHG 通量的预测效果很差。粪堆的 GHG 排放量最大,尽管混合后温度升高,O 浓度降低,但由于混合,我们几乎没有检测到 GHG 通量的变化。畜栏通量的特点是由沉积模式驱动的热点和热时刻。每年的刮粪使土壤和堆积的粪肥层变薄,产生更干燥的条件,特别是在温暖干燥的季节。畜栏通量的总和具有最大的非 CO 全球变暖潜势。该场地有 CH 的净消耗,但 CH 的吸收不足以抵消面积基础上的 N O 排放。所有场地都排放 N O,其气候影响与 CH 相似或更大。我们的结果强调了粪便管理中 N O 排放的重要性,这是一种较少测量的 GHG,并提出了减少 GHG 排放的潜在机会。