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Quantifying nitrogen leaching response to fertilizer additions in China's cropland

机译:Quantifying nitrogen leaching response to fertilizer additions in China's cropland

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摘要

Agricultural soils account for more than 50% of nitrogen leaching (L-N) to groundwater in China. When excess levels of nitrogen accumulate in groundwater, it poses a risk of adverse health effects. Despite this recognition, estimation of L-N from cropland soils in a broad spatial scale is still quite uncertain in China. The uncertainty of L-N primarily stems from the shape of nitrogen leaching response to fertilizer additions (N-rate) and the role of environmental conditions. On the basis of 453 site-years at 51 sites across China, we explored the nonlinearity and variability of the response of L-N to N-rate and developed an empirical statistical model to determine how environmental factors regulate the rate of N leaching (LR). The result shows that L-N-N-rate relationship is convex for most crop types, and varies by local hydro-climates and soil organic carbon. Variability of air temperature explains a half (similar to 52%) of the spatial variation of LR. The results of model calibration and validation indicate that incorporating this empirical knowledge into a predictive model could accurately capture the variation in leaching and produce a reasonable upscaling from site to country. The fertilizer-induced L-N in 2008 for China's cropland were 0.88 +/- 0.23 TgN (1 sigma), significantly lower than the linear or uniform model, as assumed by Food and Agriculture Organization and MITERRA-EUROPE models. These results also imply that future policy to reduce N leaching from cropland needs to consider environmental variability rather than solely attempt to reduce N-rate. (C) 2016 Elsevier Ltd. All rights reserved.
机译:在中国,农田土壤中氮的淋溶量(L-N)超过50%。当过量的氮积累在地下水中时,就会对健康造成不利影响。尽管有这样的认识,但在中国,从耕地土壤中大范围地估算L-N仍然很不确定。 L-N的不确定性主要源于氮对肥料添加的浸出响应(N速率)的形状以及环境条件的作用。基于全国51个站点的453个站点-年,我们探索了L-N对N速率响应的非线性和变异性,并建立了一个经验统计模型,以确定环境因素如何调节N浸出速率(LR)。结果表明,L-N-N速率关系在大多数作物类型上是凸的,并且随局部水气候和土壤有机碳的变化而变化。气温的变化解释了LR空间变化的一半(约52%)。模型校准和验证的结果表明,将这种经验知识整合到预测模型中,可以准确地捕获淋洗过程中的变化,并从站点到国家进行合理的升级。粮食和农业组织和MITERRA-EUROPE模型假设,2008年中国农田的化肥诱导的氮素含量为0.88 +/- 0.23 TgN(1西格玛),大大低于线性或均匀模型。这些结果还暗示,未来减少农田氮素淋失的政策需要考虑环境变化,而不是仅仅尝试降低氮素含量。 (C)2016 Elsevier Ltd.保留所有权利。

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