Institute of Biological and Environmental Sciences, University of Aberdeen, 23 St Machar Drive, Aberdeen, AB24 3UU, UK.
Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, PR China.
Environ Pollut. 2020 Apr;259:113864. doi: 10.1016/j.envpol.2019.113864. Epub 2019 Dec 20.
Nitrous oxide emission factors (NO-EF, percentage of NO-N emissions arising from applied fertilizer N) for cropland emission inventories can vary with agricultural management, soil properties and climate conditions. Establishing a regionally-specific EF usually requires the measurement of a whole year of NO emissions, whereas most studies measure NO emissions only during the crop growing season, neglecting emissions during non-growing periods. However, the difference in NO-EF (ΔEF) estimated using measurements over a whole year (EF) and those based on measurement only during the crop-growing season (EF) has received little attention. Here, we selected 21 studies including both the whole-year and growing-season NO emissions under control and fertilizer treatments, to obtain 123 ΔEFs from various agroecosystems globally. Using these data, we conducted a meta-analysis of the ΔEFs by bootstrapping resampling to assess the magnitude of differences in response to management-related and environmental factors. The results revealed that, as expected, the EF was significantly greater than the EF for most crop types. Vegetables showed the largest ΔEF (0.19%) among all crops (0.07%), followed by paddy rice (0.11%). A higher ΔEF was also identified in areas with rainfall ≥600 mm yr, soil with organic carbon ≥1.3% and acidic soils. Moreover, fertilizer type, residue management, irrigation regime and duration of the non-growing season were other crucial factors controlling the magnitude of the ΔEFs. We also found that neglecting emissions from the non-growing season may underestimate the NO-EF by 30% for paddy fields, almost three times that for non-vegetable upland crops. This study highlights the importance of the inclusion of the non-growing season in the measurements of NO fluxes, the compilation of national inventories and the design of mitigation strategies.
农田排放清单中农田氮氧化物排放因子(NO-EF,肥料氮施用量引起的氮氧化物排放量占比)会因农业管理、土壤特性和气候条件而异。建立具有区域特定性的 EF 通常需要测量一整年的 NO 排放,而大多数研究仅在作物生长季测量 NO 排放,忽略了非生长期间的排放。然而,使用整年测量值(EF)和仅在作物生长季测量值(EF)估算的 NO-EF(ΔEF)之间的差异却很少受到关注。在这里,我们选择了 21 项研究,其中包括对照和施肥处理下的全年和生长季的 NO 排放,以从全球各种农业生态系统中获得 123 个 ΔEF。使用这些数据,我们通过 bootstrap 重采样进行了 ΔEF 的荟萃分析,以评估管理相关和环境因素响应差异的幅度。结果表明,与预期一致,大多数作物类型的 EF 明显大于 EF。蔬菜在所有作物中表现出最大的 ΔEF(0.19%)(0.07%),其次是水稻(0.11%)。在降雨量≥600 mm yr、土壤有机碳≥1.3%和酸性土壤中,也发现了更高的 ΔEF。此外,肥料类型、残茬管理、灌溉制度和非生长季持续时间也是控制 ΔEF 幅度的其他关键因素。我们还发现,忽略非生长季的排放可能会使稻田的 NO-EF 低估 30%,几乎是非蔬菜旱地作物的三倍。本研究强调了在 NO 通量测量、国家清单编制和减排策略设计中纳入非生长季的重要性。