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Ranking factors affecting emissions of GHG from incubated agricultural soils

机译:影响温育农业土壤中温室气体排放的影响因素

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摘要

Agriculture significantly contributes to global greenhouse gas (GHG) emissions and there is a need to develop effective mitigation strategies. The efficacy of methods to reduce GHG fluxes from agricultural soils can be affected by a range of interacting management and environmental factors. Uniquely, we used the Taguchi experimental design methodology to rank the relative importance of six factors known to affect the emission of GHG from soil: nitrate (NO3) addition, carbon quality (labile and non-labile C), soil temperature, water-filled pore space (WFPS) and extent of soil compaction. Grassland soil was incubated in jars where selected factors, considered at two or three amounts within the experimental range, were combined in an orthogonal array to determine the importance and interactions between factors with a L16 design, comprising 16 experimental units. Within this L16 design, 216 combinations of the full factorial experimental design were represented. Headspace nitrous oxide (N2O), methane (CH4) and carbon dioxide (CO2) concentrations were measured and used to calculate fluxes. Results found for the relative influence of factors (WFPS and NO3 addition were the main factors affecting N2O fluxes, whilst glucose, NO3 and soil temperature were the main factors affecting CO2 and CH4 fluxes) were consistent with those already well documented. Interactions between factors were also studied and results showed that factors with little individual influence became more influential in combination. The proposed methodology offers new possibilities for GHG researchers to study interactions between influential factors and address the optimized sets of conditions to reduce GHG emissions in agro-ecosystems, while reducing the number of experimental units required compared with conventional experimental procedures that adjust one variable at a time.
机译:农业对全球温室气体(GHG)排放做出了重要贡献,因此需要制定有效的缓解策略。减少农业土壤中温室气体排放量的方法的有效性可能会受到一系列相互作用的管理和环境因素的影响。独特地,我们使用了Taguchi实验设计方法,对已知影响土壤GHG排放的六个因素的相对重要性进行了排名:硝酸盐(NO3 -)添加,碳质量(不稳定和非不稳定C) ),土壤温度,充水孔隙空间(WFPS)和土壤压实程度。草原土壤在广口瓶中孵化,然后将所选因子(在实验范围内以2或3个量考虑)组合成正交阵列,以L16设计(包括16个实验单元)确定因子之间的重要性和相互作用。在此L16设计中,代表了216个完整阶乘实验设计的组合。测量了顶空一氧化二氮(N2O),甲烷(CH4)和二氧化碳(CO2)的浓度,并用于计算通量。结果发现,添加因子(WFPS和NO3 -)的相对影响是影响N2O通量的主要因素,而葡萄糖,NO3 -和土壤温度是影响CO2的主要因素。和CH4通量)与已经有据可查的一致。还研究了因素之间的相互作用,结果表明,个体影响较小的因素在组合中的影响力更大。拟议的方法为温室气体研究人员提供了新的可能性,以研究影响因素之间的相互作用并解决优化的条件集,以减少农业生态系统中的温室气体排放,同时与传统的实验程序相比,减少了所需的实验单元数量,传统的实验程序需要在一个环境中调整一个变量。时间。

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