Programa de Agricultura, Ganadería y Agroforestería, Centro Agronómico Tropical de Investigación y Enseñanza, Turrialba, Cartago, 30501, Costa Rica; Grupo de investigación: Cambio climático y ganadería, Facultad de Zootecnia, Universidad Nacional Agraria La Molina, 15025, Peru.
Rothamsted Research, North Wyke, Okehampton, Devon, EX20 2SB, United Kingdom.
J Dairy Sci. 2020 Jul;103(7):6706-6715. doi: 10.3168/jds.2019-17825. Epub 2020 May 21.
Agriculture is the largest source of ammonia (NH) emissions. As NH is an indirect greenhouse gas, NH measurements are crucial to improving greenhouse gas emission inventory estimates. Moreover, NH emissions have wider implications for environmental and human health. Only a few studies have measured NH emissions from pastures in the tropics and subtropics and none has compared emissions to inventory estimates. The objectives of this study were to (1) measure NH emissions from dairy pastures in tropical and subtropical regions; (2) calculate NH emissions factors (EF) for each campaign; and (3) compare measured EF with those based on the 2006 Intergovernmental Panel on Climate Change (IPCC) Tier 1, 2019 Refinement to the 2006 IPCC Tier 1, and the European Monitoring and Evaluation Programme/European Environmental Agency (EMPE/EEA) Tier 2 inventory estimates. Pasture NH emissions were measured on 3 dairy farms in Costa Rica. On each dairy, NH emissions were measured twice during the wet season and once during the dry season using a micrometeorological integrated horizontal-flux mass-balance method. Emissions were measured from excreta (dung and urine) deposited by grazing cattle and the subsequent application of organic (slurry) or synthetic fertilizer (ammonium nitrate or urea). Measured EF for all campaigns [from grazing cattle excreta and any subsequent slurry or fertilizer application; 4.9 ± 0.9% of applied nitrogen (mean ± SE)] were similar to those of the EMEP/EEA Tier 2 approach (6.1 ± 0.9%; mean ± SE) and 4 times lower than 2006 IPCC and 2019 Refinement to 2006 IPCC Tier 1 default estimates (17.7 ± 1.4 and 18.2 ± 0.9%, respectively; mean ± SE). Measured EF for excreta deposited on pasture and excreta both deposited on pasture and slurry application [3.9 ± 2.1 and 4.2 ± 2.1% (mean ± 95% CI), respectively] were 5 times lower than default EF assumed by 2006 IPCC and 2019 Refinement to 2006 IPCC methodology (both 20 and 21%, respectively), whereas EMEP/EAA estimates were similar [6.0 and 4.6 ± 0.3% (mean ± 95% CI), respectively]. This suggests an overestimation of EF from excreta deposited on pasture and slurry applications in tropical and subtropical regions by IPCC methodologies. Furthermore, rainfall, which is not included as a parameter in the current EMEP/EEA Tier 2 methodology, appeared to reduce NH emissions, suggesting that accounting for this in the inventory methodologies could improve inventory estimates.
农业是氨(NH)排放的最大来源。由于 NH 是一种间接温室气体,因此 NH 测量对于改善温室气体排放清单估算至关重要。此外,NH 排放对环境和人类健康也有更广泛的影响。只有少数研究测量了热带和亚热带牧场的 NH 排放,并且没有一项研究将排放量与清单估算进行比较。本研究的目的是:(1)测量热带和亚热带地区奶牛场的 NH 排放;(2)为每个试验计算 NH 排放因子(EF);(3)将实测 EF 与基于 2006 年政府间气候变化专门委员会(IPCC)第 1 层、2019 年对 2006 年 IPCC 第 1 层的修订版和欧洲监测与评估计划/欧洲环境署(EMPE/EEA)第 2 层清单估算的 EF 进行比较。在哥斯达黎加的 3 个奶牛场测量了牧场 NH 排放。在每个奶牛场,在雨季期间进行了两次测量,在旱季期间进行了一次测量,使用微气象综合水平通量质量平衡法进行测量。从放牧牛排泄的粪便和尿液(粪便和尿液)以及随后应用有机肥料(粪肥)或合成肥料(硝酸铵或尿素)测量排放。所有试验的实测 EF(来自放牧牛排泄的粪便和任何随后的粪肥或肥料应用;应用氮的 4.9 ± 0.9%(平均值 ± SE))与 EMEP/EEA 第 2 层方法(6.1 ± 0.9%;平均值 ± SE)相似,比 2006 年 IPCC 和 2019 年对 2006 年 IPCC 的修订版默认估计值(分别为 17.7 ± 1.4%和 18.2 ± 0.9%;平均值 ± SE)低 4 倍。在牧场上沉积的粪便和同时在牧场上沉积的粪便和粪肥应用的实测 EF(分别为 3.9 ± 2.1%和 4.2 ± 2.1%(平均值 ± 95%置信区间))比 2006 年 IPCC 和 2019 年对 2006 年 IPCC 方法的默认 EF(均为 20%和 21%)低 5 倍,而 EMEP/EEA 估计值相似(分别为 6.0%和 4.6 ± 0.3%(平均值 ± 95%置信区间))。这表明,在热带和亚热带地区,IPCC 方法对在牧场上沉积的粪便和粪肥应用的 EF 估计过高。此外,降雨未被纳入当前 EMEP/EEA 第 2 层方法作为参数,似乎降低了 NH 排放,这表明在清单方法中考虑这一点可以提高清单估算。