Modeling denitrification nitrogen losses in China's rice fields based on multiscale field‐experiment constraints

Author:

Zhang Huayan1,Adalibieke Wulahati1,Ba Wenxin1,Butterbach‐Bahl Klaus2ORCID,Yu Longfei3,Cai Andong4ORCID,Fu Jin5,Yu Haoming1,Zhang Wantong1,Huang Weichen1,Jian Yiwei1,Jiang Wenjun1,Zhao Zheng6,Luo Jiafa7,Deng Jia8ORCID,Zhou Feng15ORCID

Affiliation:

1. Institute of Carbon Neutrality, Laboratory for Earth Surface Processes College of Urban and Environmental Sciences, Peking University Beijing China

2. Department of Agroecology Aarhus University Aarhus Denmark

3. Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen Guangdong China

4. Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences Beijing China

5. College of Geography and Remote Sensing, Hohai University Nanjing China

6. Institute of Ecological Environment Protection Research, Shanghai Academy of Agricultural Sciences Shanghai China

7. AgResearch Ruakura Hamilton New Zealand

8. Earth Systems Research Center Institute for the Study of Earth, Oceans and Space, University of New Hampshire Durham New Hampshire USA

Abstract

AbstractDenitrification 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.

Funder

China Postdoctoral Science Foundation

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3