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Sensitivity analysis for nitrogen inputs, nitrogen outputs, and changes in biofuel crop acreages for predicting residual soil nitrogen and nitrate leaching in Canadian agricultural soils

机译:氮输入,氮输出和生物燃料作物种植面积变化的敏感性分析,以预测加拿大农业土壤中残留的氮和硝态氮的淋溶

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Substantial improvements have been made to the Canadian Agricultural Nitrogen Budget model (CANB) for estimating residual soil nitrogen (RSN) and the indicator of the risk of water contamination by nitrogen (IROWC-N). These included new algorithms for manure, fertilizer and biological fixation inputs and losses as well as the incorporation of a versatile soil moisture model. The new semi-dynamic model (CANB v 3.0) was compared to the static model (CANB 2.0) for estimating both RSN and IROWC-N. Sensitivity analysis of the RSN component using 2006 land use practices was also conducted and crop yield and N uptake were found to be the most sensitive parameters, followed by biological N_2 fixation and the addition of fertilizer N and manure N. Land use scenarios were evaluated to examine if increasing the proportion of biofuel crops grown in Canada would change RSN and IROWC-N appreciably. The analyses demonstrated that the area of canola and maize crops could be increased in Canada by up to 40% to meet biofuel production demands without significantly changing RSN and IROWC-N.
机译:加拿大农业氮预算模型(CANB)进行了重大改进,以估算土壤中的残留氮(RSN)和氮污染水的风险指标(IROWC-N)。这些措施包括用于肥料,肥料和生物固定剂输入和损失的新算法,以及纳入通用的土壤水分模型。将新的半动态模型(CANB v 3.0)与静态模型(CANB 2.0)进行了比较,以估算RSN和IROWC-N。还使用2006年土地使用方法对RSN成分进行了敏感性分析,发现农作物产量和氮素吸收是最敏感的参数,其次是生物固氮法以及添加肥料N和肥料N。检查加拿大增加的生物燃料作物比例是否会显着改变RSN和IROWC-N。分析表明,在不显着改变RSN和IROWC-N的前提下,加拿大的低芥酸菜子和玉米作物面积可以增加多达40%,以满足生物燃料生产的需求。

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