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通过了解气候极端事件、土壤氮动态和灌溉水之间的相互作用来提高农场氧化亚氮排放的预测。

Improved prediction of farm nitrous oxide emission through an understanding of the interaction among climate extremes, soil nitrogen dynamics and irrigation water.

机构信息

University of Southern Queensland, Toowoomba, 4350, Queensland, Australia.

University of Southern Queensland, Toowoomba, 4350, Queensland, Australia.

出版信息

J Environ Manage. 2019 Oct 15;248:109278. doi: 10.1016/j.jenvman.2019.109278. Epub 2019 Jul 20.

Abstract

Reducing nitrous oxide (NO) emissions from agriculture soils is crucial, as it accounts for 5.6-6.8% of global anthropogenic emissions. This study aims to understand the interaction among climate, soil nitrogen (N) and applied N on NO emissions from the irrigated cotton farming system and its implications on farm economics. We conducted simulations for 116 years (1900-2015) and assessed the effect of different N-fertiliser application rates, initial soil nitrate (NO) N levels and rainfall conditions on NO emissions, NO emission factors (EFs) and financial returns (with and without NO costs). Results showed the following. 1) The proportional impact of higher N fertiliser rates on soil NO emissions was greater when initial soil N level was lower (5 mg NO kg) than higher (35 mg NO kg). However, the volume of impact was greater under higher initial soil N levels. 2) The relationship between N fertiliser rates and the EFs (range 0.03-7.2%) was not linear but bell-shaped. 3) Fertiliser N requirements increased with rainfall and decreased with initial soil N. Accordingly, the cotton returns for the driest rainfall condition (<10th percentile) were maximum at 300, 250 and 150 kg N ha for initial soil N of 5, 20 and 35 mg NO kg. For the wettest rainfall condition (>90th percentile), these rates were 50 kg ha higher across the initial soil N conditions. Any additional application of N-fertiliser above these rates was counterproductive. 4) Inclusion of NO cost into farm economics reduced the annual returns by up to $39 ha, but the optimal fertiliser application rates remain the same. 5) Optimising N fertiliser rates to soil N and rainfall conditions increased the annual returns by up to $303 ha, with a further increase of $15 ha from fertiliser use efficiency when the Australian Government incentives under the $2.55 billion dollar Emission Reduction Fund program was considered. These findings suggest that N-fertiliser application rates and NO emission mitigation strategies need further refinements specific to prevailing soil and climate variabilities.

摘要

减少农业土壤中的一氧化二氮(NO)排放至关重要,因为它占人为排放的全球排放量的 5.6-6.8%。本研究旨在了解气候、土壤氮(N)和施氮之间的相互作用对灌溉棉花种植系统中 NO 排放的影响及其对农场经济的影响。我们进行了 116 年(1900-2015 年)的模拟,并评估了不同氮肥施用量、初始土壤硝酸盐(NO)N 水平和降雨条件对 NO 排放、NO 排放因子(EF)和经济回报(有和没有 NO 成本)的影响。结果表明:1)当初始土壤 N 水平较低(5mgNOkg)时,较高的氮肥施用量对土壤 NO 排放的比例影响大于初始土壤 N 水平较高(35mgNOkg)时。然而,在较高的初始土壤 N 水平下,影响的程度更大。2)氮肥施用量与 EF(范围 0.03-7.2%)之间的关系不是线性的,而是钟形的。3)随着降雨量的增加和初始土壤 N 的减少,对氮肥的需求增加。因此,在降雨量最低的条件(<10%分位数)下,对于初始土壤 N 为 5、20 和 35mgNOkg 的棉花回报分别在 300、250 和 150kgNha 时达到最大值。对于降雨量最大的条件(>90%分位数),在所有初始土壤 N 条件下,这一比例高出 50kgNha。任何超过这些水平的氮肥的额外应用都是适得其反的。4)将 NO 成本纳入农场经济减少了高达 39 美元/公顷的年度收益,但最佳施肥水平保持不变。5)根据澳大利亚政府在 25.5 亿美元减排基金计划下的激励措施,通过优化氮肥施用量到土壤 N 和降雨条件,使年度收益增加了高达 303 美元/公顷,再加上从肥料利用效率上增加了 15 美元/公顷。这些发现表明,氮肥施用量和 NO 减排策略需要进一步细化,以适应当前的土壤和气候变异性。

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