Chinese Journal of Agrometeorology ›› 2025, Vol. 46 ›› Issue (5): 704-714.doi: 10.3969/j.issn.1000-6362.2025.05.011

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Research Progress of Crop Water and Fertilizer Management Decision-making Models Based on Bibliometrics

CAI Meng-ting, SU Zhen-juan, ZHANG Peng, LIU Xue-zhi , XU Li-gang, YANG Hao, WANG Jiao, LIU Wei-lun   

  1. 1. School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan 750021, China; 2. Engineering Research Center for Efficient Utilization of Modern Agricultural Water Resources in Arid Regions, Ministry of Education/Key Laboratory for Digital Water Governance of Yellow River Water Interconnection in Ningxia, Yinchuan 750021
  • Received:2024-06-12 Online:2025-05-20 Published:2025-05-15

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Abstract:

Based on the Web of Science (WoS) core database and the China National Knowledge Infrastructure (CNKI) database, this paper retrieved the literature related to crop water and fertilizer management decision-making models, and analyzed the changes in the number of publications, publishing country and keywords of the papers in this field from 2003 to 2023, as well as the research progress of crop water and fertilizer management decision- making models at home and abroad, with the help of CiteSpace and VOSviewer visualization software, and understood the research status and trend of crop water and fertilizer management decision-making models. The results indicated that the overall publication volume of crop water and fertilizer management decision-making model research had shown an upward trend from 2003 to 2023. The main research focus on water and fertilizer management, model optimization, etc., and the United States and China dominated the research in this field. The main keywords in publications from 2003 to 2023 concentrated on nitrogen, water, management as well as water−fertilizer coupling, yield, water and fertilizer integration, respectively. Currently, the widely used crop water and fertilizer management decision−making models included APSIM, DSSAT, RZWQM, and AquaCrop. With the advantages of modularity and soil−centered design, APSIM model could accurately assess the dynamic changes in soil moisture and nutrients in agricultural land by setting up different scenarios of crops, soil types and climatic conditions, etc., thus providing important support for the development of more rational agricultural water and fertilizer management strategies. Integrating the current research progress in crop water and fertilizer management decision making, future research should pay more attention to agro-ecological effects and combine with new remote sensing technologies to establish, optimize or couple crop models to provide technical support for the assessment of agricultural water and fertilizer dynamics and the efficient use of resources.

Key words: Bibliometrics, Integration of water and fertilizer, Crop model, CiteSpace, VOSviewer