Quantifying Soil Gaseous Nitrogen Losses From Nitrification and Denitrification Based on Nitrogen Isotope Model

IF 5.4 2区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Haoming Yu, Wenxin Ba, Peter Dörsch, Wulahati Adalibieke, Yunting Fang, Longfei Yu, Chao Wang, Yihang Duan, Huayan Zhang, Benjamin Z. Houlton, Yan Bo, Yi Wei Jian, Xiao Qing Cui, Edith Bai, Feng Zhou
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引用次数: 0

Abstract

Gaseous nitrogen (N) losses from nitrification and denitrification (NO + N2O + N2) pathways contribute a significant fraction of the total N losses from cropland ecosystems. The N mass balance and process-based models are commonly applied to estimate the NO + N2O + N2 losses but have suffered from systematic error accumulations or model over-parameterization, leading to a large uncertainty in estimation, hindering effective management of the global N budget. Here, we proposed a novel N isotope model, which considers fertilizer, ammonia volatilization and harvest after testing steady-state assumption of soil δ15N and N pool for croplands, and justified if it could be successfully applied to constrain NO + N2O + N2 losses from cropland ecosystems. We compiled the first bulk-soil δ15N data set of 0–30 cm soils (n = 738) from croplands and produced a global map of cropland soil δ15N, which is crucial input data for an isotope model to quantify NO + N2O + N2 losses. The results show that the cropland soil δ15N ranges from 3.5 to 9.0‰, with a mean value of 6.6 ± 0.8‰ (mean ± standard deviation). The estimated NO + N2O + N2 losses accounted for an average of 17 ± 9% of N outputs and were 35.86 ± 24.17 kg N ha−1 yr−1 in China's rice paddies, with an increasing trend from Central China to South or North China. The estimations were comparable with the results from observation-constrained denitrification-decomposition modeling (38.9 ± 4.8 kg N ha−1 yr−1) and in good agreement with experimental observations at site scale (R2 = 0.58). Our results suggest that soil N isotopes, as a quantitative tracer, provide a valuable alternative approach to constrain the NO + N2O + N2 losses in croplands at large geographic scales.

基于氮同位素模型的土壤硝化和反硝化气体氮损失定量研究
来自硝化和反硝化(NO + N2O + N2)途径的气态氮(N)损失占农田生态系统总氮损失的很大一部分。N质量平衡模型和基于过程的模型通常用于估算NO + N2O + N2损失,但由于系统误差累积或模型过度参数化,导致估算的不确定性较大,阻碍了对全球N收支的有效管理。本文通过对农田土壤δ15N和N库的稳态假设进行验证,提出了一种考虑肥料、氨挥发和收获的新型N同位素模型,并验证了该模型是否可以成功应用于限制农田生态系统中NO + N2O + N2的损失。我们编制了第一个农田0-30 cm土壤(n = 738)的整体土壤δ15N数据集,并绘制了农田土壤δ15N的全球地图,这是量化NO + N2O + N2损失的同位素模型的重要输入数据。结果表明:农田土壤δ15N变化范围为3.5 ~ 9.0‰,平均值为6.6±0.8‰(平均值±标准差);据估计,中国稻田NO + N2O + N2损失平均占氮产量的17±9%,为35.86±24.17 kg N ha−1年−1,从华中向华南或华北呈增加趋势。估算值与观测约束下的反硝化分解模型结果(38.9±4.8 kg N ha−1 yr−1)相当,与现场尺度上的实验观测值吻合良好(R2 = 0.58)。我们的研究结果表明,土壤N同位素作为一种定量示踪剂,在大地理尺度上为限制农田NO + N2O + N2损失提供了一种有价值的替代方法。
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来源期刊
Global Biogeochemical Cycles
Global Biogeochemical Cycles 环境科学-地球科学综合
CiteScore
8.90
自引率
7.70%
发文量
141
审稿时长
8-16 weeks
期刊介绍: Global Biogeochemical Cycles (GBC) features research on regional to global biogeochemical interactions, as well as more local studies that demonstrate fundamental implications for biogeochemical processing at regional or global scales. Published papers draw on a wide array of methods and knowledge and extend in time from the deep geologic past to recent historical and potential future interactions. This broad scope includes studies that elucidate human activities as interactive components of biogeochemical cycles and physical Earth Systems including climate. Authors are required to make their work accessible to a broad interdisciplinary range of scientists.
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