文献类型： 外文期刊

作者： Zhang, Huayan ¹ ; Adalibieke, Wulahati ¹ ; Ba, Wenxin ¹ ; Butterbach-Bahl, Klaus ² ; Yu, Longfei ³ ; Cai, Andong ⁴ ; Fu, Jin ⁵ ; Yu, Haoming ¹ ; Zhang, Wantong ¹ ; Huang, Weichen ¹ ; Jian, Yiwei ¹ ; Jiang, Wenjun ¹ ; Zhao, Zheng ⁶ ; Luo, Jiafa ⁷ ; Deng, Jia ⁸ ; Zhou, Feng ¹ ;

作者机构： 1.Peking Univ, Inst Carbon Neutral, Coll Urban & Environm Sci, Lab Earth Surface Proc, Beijing, Peoples R China

2.Aarhus Univ, Dept Agroecol, Aarhus, Denmark

3.Tsinghua Univ, Inst Environm & Ecol, Tsinghua Shenzhen Int Grad Sch, Shenzhen, Guangdong, Peoples R China

4.Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Beijing, Peoples R China

5.Hohai Univ, Coll Geog & Remote Sensing, Nanjing, Peoples R China

6.Shanghai Acad Agr Sci, Inst Ecol Environm Protect Res, Shanghai, Peoples R China

7.AgRes Ruakura, Hamilton, New Zealand

8.Univ New Hampshire, Inst Study Earth Oceans & Space, Earth Syst Res Ctr, Durham, NH USA; Peking Univ, Inst Carbon Neutral, Coll Urban & Environm Sci, Lab Earth Surface Proc, Beijing 100871, Peoples R China

关键词： denitrification; N cycle; nitrogen use efficiency; process-based model; rice paddy

期刊名称：GLOBAL CHANGE BIOLOGY （ 影响因子：11.6； 五年影响因子：12.3 ）

ISSN： 1354-1013

年卷期： 2024 年 30 卷 2 期

页码：

收录情况： SCI

摘要： Denitrification plays a critical role in soil nitrogen (N) cycling, affecting N availability in agroecosystems. However, the challenges in direct measurement of denitrification products (NO, N2O, and N2) hinder our understanding of denitrification N losses patterns across the spatial scale. To address this gap, we constructed a data-model fusion method to map the county-scale denitrification N losses from China's rice fields over the past decade. The estimated denitrification N losses as a percentage of N application from 2009 to 2018 were 11.8 +/- 4.0% for single rice, 12.4 +/- 3.7% for early rice, and 11.6 +/- 3.1% for late rice. The model results showed that the spatial heterogeneity of denitrification N losses is primarily driven by edaphic and climatic factors rather than by management practices. In particular, diffusion and production rates emerged as key contributors to the variation of denitrification N losses. These findings humanize a 38.9 +/- 4.8 kg N ha-1 N loss by denitrification and challenge the common hypothesis that substrate availability drives the pattern of N losses by denitrification in rice fields. The quantification of denitrification N losses has been challenging and limiting our understanding of denitrification N losses patterns in spatial scales. To address this gap, we constructed a "double constraint method" based on multiscale observations to optimize the DNDC model. We quantified the magnitude of denitrification N losses in Chinese rice fields and found that production rate and diffusion rate were more important than substrate concentration in determining the spatial variability of differentiation N losses. This insight provides an improved approach for simulating denitrification process.image