Monitoring, Modelling and Management of Agricultural Air Pollutants and Greenhouse Gases

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Ecosystem, Environment and Climate Change in Agriculture".

Deadline for manuscript submissions: closed (20 May 2024) | Viewed by 774

Special Issue Editors

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Guest Editor
Northeast Institute of Geography and Agroecology (IGA), Chinese Academy of Sciences (CAS), Changchun 130102, China
Interests: agricultural air pollution; climate change; emission inventory; simulation modeling; remote sensing of atmospheric environment
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Guest Editor
College of Electrical and Information, Northeast Agricultural University, Harbin 150030, China
Interests: environmental control; environmental quality assessment; machine learning; simulation and modeling; air pollutant concentration monitoring

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Guest Editor
College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China
Interests: agricultural air pollution; monitoring of agricultural environment; mitigation and filtration of agricultural pollutants; remote sensing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The rapid development of modern agriculture has provided considerable benefits to the growing population of the world. Meanwhile, agricultural activities have also produced some undesirable environmental consequences, including air pollution and climate change, which are having increasingly deleterious effects on the health of the ecosystem and humans. In order to reduce agriculture-related atmospheric emissions, the utilization of appropriate technologies and methodologies to realistically evaluate the impact of pollution on the atmosphere and suggest options for mitigation may be of use to farmers and policy makers. These feedback mechanisms rely on observed effects, measured pollutant concentrations, and modeling to predict the transport and fate of pollutants and to estimate potential risks.

This Special Issue focuses on the monitoring, modelling and management of the air pollutants and greenhouse gases (GHG) emitted from agricultural activities, including farmland soil management, fertilization, pesticide use, agricultural machinery, residue burning, and animal feeding operations (AFOs). This Special Issue welcomes interdisciplinary studies that are relevant to a range of research fields, including agricultural environment, biology, chemistry and engineering. The published research articles will address a broad range of agricultural atmospheric pollutants and GHGs, from ground monitoring to remote sensing, and from simulation modelling to mitigation technologies. Original research articles, opinions and reviews are welcome.

Prof. Dr. Weiwei Chen
Prof. Dr. Qiuju Xie
Prof. Dr. Li Guo
Guest Editors

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  • agricultural residues
  • life cycle assessment
  • emissions
  • nitrogen utilization
  • environmental impacts
  • Sustainable Development Goals (SDGs)
  • environmental control

Published Papers (1 paper)

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21 pages, 1309 KiB  
The Residue Chemistry Transformation Linked to the Fungi Keystone Taxa during Different Residue Tissues Incorporation into Mollisols in Northeast China
by Qilin Zhang, Xiujun Li, Guoshuang Chen, Nana Luo, Jing Sun, Ezemaduka Anastasia Ngozi and Xinrui Lu
Agriculture 2024, 14(6), 792; - 21 May 2024
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Managing carbon input from crop straw in cropland ecosystems could increase soil organic carbon (SOC) sequestration to achieve C neutrality and mitigate climate change. The complexity of the chemical structures of crop residue largely affects SOC sequestration. Fungi communities play an important role [...] Read more.
Managing carbon input from crop straw in cropland ecosystems could increase soil organic carbon (SOC) sequestration to achieve C neutrality and mitigate climate change. The complexity of the chemical structures of crop residue largely affects SOC sequestration. Fungi communities play an important role in the degradation of crop residues. However, the relationship between the fungal community composition and the chemical structures of crop residues remains unclear and requires further investigation. Therefore, a 120-day incubation experiment was conducted in Mollisols in Northeast China to investigate the decomposition processes and dynamics of maize straw stem (ST), leaf (LE) and sheath (SH) residues using 13C-NMR spectroscopy. Additionally, the microbiomes associated with these residues were analyzed through high-throughput sequencing to explore their relationship. Our results showed that the alkyl C contents in all treatments exhibited increases ranging from 15.1% to 49.1%, while the O-alkyl C contents decreased, ranging from 0.02% to 11.2%, with the incubation time. The A/OA ratios of ST, LE and SH treatments were increased by 23.7%, 43.4% and 49.3% with incubation time, respectively. During the early stages of straw decomposition, Ascomycota dominated, and in the later stage, Basidiomycota were predominant. The class of Sordariomycetes played a key role in the chemistry transformation of straw tissues during decomposition. The keystone taxa abundances, Fusarium_kyushuense, and Striatibotrys_eucylindrospora, showed strong negative correlations with di-O-alkyl C and carbonyl-C content and positive correlations with the β-glucosidase and peroxidase enzyme activity, respectively. In conclusion, our study demonstrated that the keystone taxa play a significant role in regulating the chemical structures of straw tissues, providing a better understanding of the influence of residue quality on SOC sequestration. Full article
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