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为了估算可靠的排放因子,有必要对全年的 NO 排放进行测量。

Measurement of NO emissions over the whole year is necessary for estimating reliable emission factors.

机构信息

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.

出版信息

Environ Pollut. 2020 Apr;259:113864. doi: 10.1016/j.envpol.2019.113864. Epub 2019 Dec 20.

Abstract

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.

摘要

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。

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