首页> 外文期刊>Geoderma: An International Journal of Soil Science >Assessing the combined use of reduced tillage and cover crops for mitigating greenhouse gas emissions from arable ecosystem.
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Assessing the combined use of reduced tillage and cover crops for mitigating greenhouse gas emissions from arable ecosystem.

机译:评估减少耕种和覆盖作物的组合使用,以减轻可耕生态系统的温室气体排放。

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Field management activities have significant impacts on greenhouse gas (GHG) emissions from cropland soils. In this study, the effectiveness of combining reduced tillage with a mustard cover crop (RT-CC) to mitigate present and future GHG emissions from a fertilized spring barley field in the southeast of Ireland was assessed. The field site which had a free-draining sandy loam soil with low soil moisture holding capacity, had been managed for three years prior to measurements under two different tillage systems; conventional (CT) and RT-CC. Field measurements of soil CO2, N2O and CH4 emissions, crop biomass, water filled pore space (WFPS), soil temperature and soil nitrate were made to capture both steady state conditions as well as the management events. Field data were used to validate the DNDC (DeNitrification-DeComposition) model and future GHG emissions under two sets of climate projections were predicted. Although fertilizer use was the same for both treatments the RT-CC treatment had significantly (p<0.05) higher N2O emissions for both present and future climate. However, the inclusion of a cover crop with the RT treatment increased predicted soil organic carbon (SOC), which more than compensated for the higher N2O flux resulting in a lower total GHG balance (TGGB) compared with the CT treatment. Results show that the effectiveness of RT-CC in mitigating GHG emissions will depend crucially on the magnitude of compensatory increases in carbon dioxide uptake by the cover crop that will contribute to a reduction in the total GHG balance.
机译:田间管理活动对农田土壤的温室气体排放产生重大影响。在这项研究中,评估了将减少耕作与芥菜覆盖作物(RT-CC)结合起来以减轻爱尔兰东南部施肥的春季大麦田目前和未来的温室气体排放的有效性。在有两种不同耕作制度下进行测量之前,对田间场地进行了三年的管理,该场地有自由排水的沙壤土,土壤含水量低。常规(CT)和RT-CC。土壤CO 2 ,N 2 O和CH 4 排放,作物生物量,充水孔隙空间(WFPS),土壤温度和使土壤硝酸盐捕获稳态条件和管理事件。现场数据被用来验证DNDC(DeNitrification-DeComposition)模型,并预测了两组气候预测下的未来温室气体排放量。尽管两种处理的肥料使用量相同,但在当前和未来气候下,RT-CC处理的N 2 O排放量均显着较高(p <0.05)。但是,采用RT处理覆盖的农作物可以增加预测的土壤有机碳(SOC),这可以补偿较高的N 2 O通量,从而导致总GHG平衡(TGGB)较低用CT治疗。结果表明,RT-CC减少温室气体排放的有效性将主要取决于覆盖作物补偿性吸收二氧化碳的增加幅度,这将有助于减少温室气体总平衡。

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