Data‐driven estimation of nitric oxide emissions from global soils based on dominant vegetation covers

Author:

Tian Xingshuai1ORCID,Yin Yulong1,He Kai1,Qiu Ruonan2,Cong Jiahui1,Wang Zihan1,Yu Huitong1,Chen Zhong1,Chu Yiyan1,Ying Hao1,Cui Zhenling1ORCID

Affiliation:

1. College of Resources and Environmental Sciences, National Academy of Agriculture Green Development China Agricultural University Beijing China

2. School of Remote Sensing and Information Engineering Wuhan University Wuhan China

Abstract

AbstractSoils are a major source of global nitric oxide (NO) emissions. However, estimates of soil NO emissions have large uncertainties due to limited observations and multifactorial impacts. Here, we mapped global soil NO emissions, integrating 1356 in‐situ NO observations from globally distributed sites with high‐resolution climate, soil, and management practice data. We then calculated global and national total NO budgets and revealed the contributions of cropland, grassland, and forest to global soil NO emissions at the national level. The results showed that soil NO emissions were explained mainly by N input, water input and soil pH. Total above‐soil NO emissions of the three vegetation cover types were 9.4 Tg N year−1 in 2014, including 5.9 Tg N year−1 (1.04, 95% confidence interval [95% CI]: 0.09–1.99 kg N ha−1 year−1) emitted from forest, 1.7 Tg N year−1 (0.68, 95% CI: 0.10–1.26 kg N ha−1 year−1) from grassland, and 1.8 Tg N year−1 (0.98, 95% CI: 0.42–1.53 kg N ha−1 year−1) from cropland. Soil NO emissions in approximately 57% of 213 countries surveyed were dominated by forests. Our results provide updated inventories of global and national soil NO emissions based on robust data‐driven models. These estimates are critical to guiding the mitigation of soil NO emissions and can be used in combination with biogeochemical models.

Funder

National Basic Research Program of China

Publisher

Wiley

Subject

General Environmental Science,Ecology,Environmental Chemistry,Global and Planetary Change

Reference65 articles.

1. Management of irrigation frequency and nitrogen fertilization to mitigate GHG and NO emissions from drip-fertigated crops

2. Ackerman D. E. Chen X. &Millet D. B.(2018).Global nitrogen deposition (2°× 2.5° grid resolution) simulated with GEOS‐Chem for 1984–1986 1994–1996 2004–2006 and 2014–2016. Data Repository for the University of Minnesota.https://doi.org/10.13020/D6KX2R

3. Agriculture is a major source of NO x pollution in California

4. Extreme Data Mining: Inference from Small Datasets

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