基于CCAFS-MOT模型的综合秸秆配方对尼日利亚尼日尔州低地稻田有机碳和温室气体排放的影响

Y. S. Koglo, A. Abdulkadir, D. Feliciano, A. Okhimamhe
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引用次数: 4

摘要

目的:利用气候变化适应粮食安全减缓选择工具(CCAFS-MOT)模型,研究枯水期预湿秸秆和尿素对稻田土壤固碳和温室气体排放的短期影响。研究设计:实验采用随机完全区组设计。学习地点和时间:2015年4月至7月,尼日利亚,尼日尔州,比达地方政府。Koglo et al.;农业学报,13(5):1-11,2016;文章no.AJEA。方法:在一个对照区(C)(不施用秸秆和尿素)中,以不同的施用量分别施用水稻秸秆和尿素的综合配方:2、3和4 t/ha, 25、50和75 kg/ha。试验采用随机完全区组设计,采用10个综合配方(处理),4个重复。每次复制由十(10)个地块组成,总共有四十(40)个地块。处理对以下变量的影响;测定土壤有机碳密度年增重(SOCDG/年,kg/ha)和温室气体排放量(kg/ha),以确定最佳处理。收集的数据使用GenStat 16.2和CCAFS-MOT 1.0进行SOC平衡分析。使用Matlab 11.0和Excel 2013进行数据处理和绘图。显著性检验和邓肯多元极差检验在95%。结果:两组治疗在各指标上均有显著性差异。SOCDG的增加是秸秆和尿素掺入量(Fpr)的函数。< 0.001)。此外,研究还发现了T2、T4和T5三种最佳治疗方法。它们对土壤有机碳密度年增益(SOCDG/年,kg/ha)的响应(TR, %)增加了43%。CCAFS-MOT估算的潜在固碳量约为44.4%,其中甲烷排放量为0%,一氧化二氮排放量为31.3%。这些结果提供了强有力的证据,证明在尼日利亚尼日尔州使用预湿技术作为缓解气候变化和提高农田生产力和对这些变化的适应能力的灵丹妙药。结论:秸秆预湿和尿素施用有助于减少农田温室气体排放,增加农田碳排放。然而,在西非地区不同的农业生态条件下验证该方法之前,还需要进行更多的试验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficacy of Integrated Straw Formulations on Lowland Rice Field Organic Carbon and Greenhouse Gas Emissions Using CCAFS-MOT Model in Niger State, Nigeria
Aims: This study aims to determine the short term effects during off-season of pre-wetted straw and urea incorporation on lowland rice field soil carbon sequestration and greenhouse gas emissions using climate change adaptation food security mitigation option tool (CCAFS-MOT) model. Study Design: The experiment was performed using a Randomized Complete Block Design. Place and Duration of Study: Nigeria, Niger State, Bida local Government from April to July 2015. Original Research Article Koglo et al.; AJEA, 13(5): 1-11, 2016; Article no.AJEA.27088 2 Methodology: Integrated formulations of rice straw and urea at different rates respectively: 2, 3 and 4 t/ha and 25, 50 and 75 kg/ha were used with one check plot (C) (without straw and urea). The experiment was a Randomized Complete Block Design, and ten (10) integrated formulations (treatments) were used with four (04) replications. Each replication, was made of ten (10) plots giving a total number of forty (40) plots. The effect of treatments on the following variables; Soil Organic Carbon Density Gain per Year (SOCDG/year, kg/ha) and GHGs emissions (kg/ha) were determined in order to identify the best treatments. Data collected were analyzed using GenStat 16.2 and CCAFS-MOT 1.0 for SOC balance. Matlab 11.0 and Excel 2013 were also used for data processing and graphs. Significance and Duncan’s Multiple Range Test were performed at 95%. Results: Results indicated significance difference of treatments on each parameter evaluated. SOCDG increase is function of the quantity of straw and urea incorporated (Fpr. <0.001). Moreover, the study revealed three best treatments (T2, T4 and T5). Their responses (TR, %) to Soil Organic Carbon Density Gain per Year (SOCDG/year, kg/ha) have increased up to 43%. Potential carbon sequestration estimated by the CCAFS-MOT was about 44.4% for the improved practices identified with 0% methane emission and scanty nitrous oxide emission up to 31.3%. These results give strong evidence concerning the use of pre-wetted technique as panacea to both mitigate climate change and enhance croplands productivity and resilience to these changes in Niger State, Nigeria. Conclusion: Pre-wetted straw and urea application can help to deplete greenhouse gas emission and enhance carbon on agricultural lands. However, additional trials are needed before validation of the method under different agro ecological conditions in west African zones.
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