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Agriculture
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Detection and Management of Agricultural Non-Point Source Pollution
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Detection and Management of Agricultural Non-Point Source Pollution

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: 20 December 2025 | Viewed by 1323

Special Issue Editors

Dr. Shiqi Yang

E-Mail Website
Guest Editor
Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Interests: soil nitrogen; soil film mulching; soil tillage; planting system; soil improvement; non-point source pollution
Dr. Yong Chen

E-Mail Website
Guest Editor
1. College of Agronomy, Sichuan Agricultural University, Chengdu 611130, China
2. Key Laboratory of Crop Ecophysiology and Farming Systems in Southwest China, Ministry of Agriculture and Rural Affairs, Chengdu 611130, China
Interests: agricultural carbon management in farming system; rice efficient cultivation; rice paddy upland crop rotation cultivation; soil respiration; soil organic carbon
Dr. Xiaolong Wang

E-Mail Website
Guest Editor
College of Agriculture, South China Agricultural University, Guangzhou 510642, China
Interests: low-carbon farming system; soil organic carbon; integrated crop-livestcok system; carbon footprint; greenhouse gas
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The intersection of ecosystems, environmental health, and climate change has long been a critical area of study in agriculture. Historically, agricultural practices have significantly influenced ecosystems, leading to biodiversity loss and altered environmental conditions. With the increasing impacts of climate change, understanding these relationships has become more urgent.

This Special Issue aims to explore the multifaceted interactions between agricultural practices and ecosystem dynamics in the context of climate change. We seek to highlight innovative approaches that promote sustainable agriculture while mitigating environmental impacts.

We encourage submissions that present cutting-edge research on topics such as agroecology, climate-smart agriculture, and the role of ecosystem services in enhancing agricultural resilience. Studies that integrate ecological principles into agricultural systems are particularly welcome.

We invite original research articles, reviews, and case studies that address the challenges and opportunities at the nexus of agriculture, ecosystems, and climate change. Contributions that offer practical solutions and policy recommendations for sustainable agricultural practices are highly encouraged.

Dr. Shiqi Yang
Dr. Yong Chen
Dr. Xiaolong Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agriculture is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • agroecology
  • climate-smart agriculture
  • ecosystem services
  • carbon sequestration
  • sustainable agriculture
  • biodiversity conservation
  • greenhouse gas emissions
  • adaptive management
  • water–energy–food nexus
  • resilient agriculture

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

18 pages, 1414 KiB  
Article
Field Validation of the DNDC-Rice Model for Crop Yield, Nitrous Oxide Emissions and Carbon Sequestration in a Soybean System with Rye Cover Crop Management
by Qiliang Huang, Nobuko Katayanagi, Masakazu Komatsuzaki and Tamon Fumoto
Agriculture 2025, 15(14), 1525; https://doi.org/10.3390/agriculture15141525 - 15 Jul 2025
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Abstract
The DNDC-Rice model effectively simulates yield and greenhouse gas emissions within a paddy system, while its performance under upland conditions remains unclear. Using data from a long-term cover crop experiment (fallow [FA] vs. rye [RY]) in a soybean field, this study validated the [...] Read more.
The DNDC-Rice model effectively simulates yield and greenhouse gas emissions within a paddy system, while its performance under upland conditions remains unclear. Using data from a long-term cover crop experiment (fallow [FA] vs. rye [RY]) in a soybean field, this study validated the DNDC-Rice model’s performance in simulating soil dynamics, crop growth, and C-N cycling processes in upland systems through various indicators, including soil temperature, water-filled pore space (WFPS), soybean biomass and yield, CO2 and N2O fluxes, and soil organic carbon (SOC). Based on simulated results, the underestimation of cumulative N2O flux (25.6% in FA and 5.1% in RY) was attributed to both underestimated WFPS and the algorithm’s limitations in simulating N2O emission pulses. Overestimated soybean growth increased respiration, leading to the overestimation of CO2 flux. Although the model captured trends in SOC stock, the simulated annual values differed from observations (−9.9% to +10.1%), potentially due to sampling errors. These findings indicate that the DNDC-Rice model requires improvements in its N cycling algorithm and crop growth sub-models to improve predictions for upland systems. This study provides validation evidence for applying DNDC-Rice to upland systems and offers direction for improving model simulation in paddy-upland rotation systems, thereby enhancing its applicability in such contexts. Full article
(This article belongs to the Special Issue Detection and Management of Agricultural Non-Point Source Pollution)
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19 pages, 1850 KiB  
Article
Effects of Different Nitrogen Substitution Practices on Nitrogen Utilization, Surplus, and Footprint in the Sweet Maize Cropping System in South China
by Hongyan Hu, Yun Chen, Luyu Zhang, Jiajun Lai, Ke Chen, Yuna Xie and Xiaolong Wang
Agriculture 2025, 15(8), 800; https://doi.org/10.3390/agriculture15080800 - 8 Apr 2025
Viewed by 503
Abstract
Long-term excessive application of nitrogen fertilizers in sweet maize farmland in South China has led to low nitrogen absorption and high emissions of reactive nitrogen (RN). In this study, four kinds of organic materials, including maize straw, cow manure, biochar, and biogas residue, [...] Read more.
Long-term excessive application of nitrogen fertilizers in sweet maize farmland in South China has led to low nitrogen absorption and high emissions of reactive nitrogen (RN). In this study, four kinds of organic materials, including maize straw, cow manure, biochar, and biogas residue, were applied to sweet maize farmland for three consecutive cropping seasons to substitute 20% of synthetic nitrogen fertilizer. We compared the effects of different nitrogen substitution practices on nitrogen use efficiency (NUE), nitrogen surplus (NSP), and nitrogen footprint (NF) in farmland, with conventional fertilization as the control (CK). Results demonstrated that nitrogen substitution practices increased crop nitrogen uptake by 18.80–52.37%, NUE by 16.00–43.03%, and nitrogen partial factor productivity (PFPN) by 46.18–74.31%, while reducing nitrogen surplus and loss by 7.84–21.84% and 12.08–42.88%, respectively. From a life cycle assessment perspective, nitrogen footprint per unit area (NFA) and per unit yield (NFY) decreased by 13.64–32.24% and 34.26–47.64%, respectively. The results demonstrated that partial substitution with organic fertilizers improved nitrogen utilization as well as reduced nitrogen surplus, loss and, footprint in the sweet maize cropping system in South China. Biochar substitution achieved the most significant improvements. This study provides a research basis for nitrogen management in the sweet maize cultivation system in South China and valuable information for achieving sustainable agricultural development in typical subtropical areas in East Asia. Full article
(This article belongs to the Special Issue Detection and Management of Agricultural Non-Point Source Pollution)
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