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中国农学通报 ›› 2025, Vol. 41 ›› Issue (35): 110-121.doi: 10.11924/j.issn.1000-6850.casb2025-0255

• 农业信息·科技教育 • 上一篇    下一篇

基于文献计量法的轮作影响氨排放研究进展及热点分析

曾婷1(), 胡晋豪1,2, 龚颖婷1, 姚建武1, 申健1, 王荣辉1, 李盟军1()   

  1. 1 广东省农业科学院农业资源与环境研究所/农业农村部南方植物营养与肥料重点实验室/广东省养分资源循环利用与耕地保育重点实验室/国家土壤质量广州观测实验站/广东省农业面源污染监测评估与防控工程技术研究中心,广州 510000
    2 山西农业大学资源环境学院,山西晋中 030801
  • 收稿日期:2025-03-31 修回日期:2025-08-28 出版日期:2025-12-11 发布日期:2025-12-11
  • 通讯作者:
    李盟军,男,1980年出生,陕西武功人,副研究员,主要从事农业面源污染监测与治理及土壤改良方面研究。通信地址:510640 广东省广州市天河区金颖路66号,Tel:020-85161496,E-mail:
  • 作者简介:

    曾婷,女,1999年出生,广东佛山人,研究实习员,主要从事农业面源污染防控与温室气体排放研究。通信地址:510640 广东省广州市天河区金颖路66号,E-mail:

  • 基金资助:
    广东省重点领域研发计划项目“农区氮磷面源流失智能监测评估技术与装备研究与示范”(2023B0202030001); 2024年省级农业科技创新及推广项目“2024年省农科院资环所农业基础性长期性科技监测项目”(2024KJ13)

Research Progress and Hotspot Analysis of Impact of Crop Rotation on Ammonia Emissions Based on Bibliometric Methods

ZENG Ting1(), HU Jinhao1,2, GONG Yingting1, YAO Jianwu1, SHEN Jian1, WANG Ronghui1, LI Mengjun1()   

  1. 1 Institute of Agricultural Resources and Environment, Guangdong Academy of Agricultural Sciences / Key Laboratory of Plant Nutrition and Fertilizer in South Region, Ministry of Agriculture and Rural Affairs /Guangdong Key Laboratory of Nutrient Cycling and Farmland Conservation/National Agricultural Experimental Station for Soil Quality, Guangzhou, Ministry of Agriculture and Rural Affairs/Guangdong Province Engineering Technology Research Center for Agricultural Non-Point Source Pollution Monitoring, Assessment and Control, Guangzhou 510000
    2 College of Resources and Environment, Shanxi Agricultural University, Jinzhong, Shanxi 030801
  • Received:2025-03-31 Revised:2025-08-28 Published:2025-12-11 Online:2025-12-11

摘要:

农业氨排放不仅关乎氮肥利用效率(影响农业生产效益),也是大气环境污染物及温室气体间接生成的重要来源,而稻麦轮作模式是影响农田氨排放的典型轮作系统。本研究以Web of Science数据库为基础,运用文献计量法,客观分析2007—2024年轮作模式影响氨排放的研究现状及趋势,为相关学者提供科学的数据参考。结果表明:(1)该领域学术研究历经起步(2007—2012年)、平稳波动(2013—2017年)、快速增长(2018—2022年)和回落(2023—2024年)四阶段,2021—2022年发文量达到高峰;(2)研究机构与高产作者均以中国为主(中科院南京土壤所5人入选高产作者),国内合作网络紧密,但国际合作集中于中-美-欧局部区域,需深化全球协作;(3)文献被引频次逐年上升,2018—2022年快速增长后增速放缓,高被引论文来自中、美、德等12个国家;(4)关键词共现分析发现,研究聚焦氨挥发、N2O排放、土壤理化性质、氮肥利用效率等主题,涉及农学、环境科学和生态学等多学科交叉融合。基于文献计量结果,当前研究存在3个方面关键问题:国际合作网络局限、长期定位试验数据不足、新兴技术应用率低。未来需加强跨国机构协作,推动长期定位试验与物联网、机器学习技术结合,促进多学科协同创新,从而为全球农业氨污染治理提供理论支撑和实践指导。

关键词: 轮作模式, 氨排放, 影响因素, 农业减排, 文献计量法, 可视化分析

Abstract:

Agricultural ammonia emissions are not only related to agricultural production efficiency but also serve as indirect contributors to greenhouse gas generation. Crop rotation is one of the pivotal factors influencing agricultural ammonia emissions. This study, based on the Web of Science database and employing a bibliometric approach, aims to objectively analyze the research status and trends of crop rotation impacts on ammonia emissions during 2007—2024, providing scientific data references for relevant scholars. The results show that: (1) academic research in this field has exhibited phases of initiation, stable fluctuation, rapid growth, and decline, with publication output peaking in 2021—2022. (2) Research is concentrated in Chinese institutions, and all high-productivity authors are Chinese scholars, five of whom are from the Nanjing Institute of Soil Science, Chinese Academy of Sciences. Domestic institutions and authors have close cooperation, while international cooperation needs to be further deepened. (3) The citation frequency of literatures has increased year by year, with rapid growth during 2018—2022 followed by a slowdown in growth rate, and highly cited papers derive from multiple countries. (4) Keyword co-occurrence analysis revealed research hotspots focusing on ammonia volatilization, N2O emissions, soil and utilization efficiency, involving interdisciplinary integration of agronomy, environmental science, and ecology. Research indicates that there are still critical scientific issues to be addressed in the study of how crop rotation affects ammonia emissions. It is necessary to enhance collaboration among international researchers and institutions, focus on long-term positioning experiments and the application of emerging technologies, and promote interdisciplinary collaborative innovation. This will provide theoretical support and practical guidance for global agricultural environmental management.

Key words: crop rotation, ammonia emissions, influencing factors, agricultural emission reduction, bibliometric method, visualization analysis