Chinese Journal of Agrometeorology ›› 2026, Vol. 47 ›› Issue (2): 225-236.doi: 10.3969/j.issn.1000-6362.2026.02.006

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Bibliometric Analysis of Agricultural Meteorological Services for High−standard Farmland Construction: the Evolution from Auxiliary Variables to Core Elements

YU Jun, ZHU Yu-han, LUO Zi-zi   

  1. 1. Key Laboratory of Remote Sensing Application and Innovation/Chongqing Meteorological Information and Technical Support Centre, Chongqing 401147, China; 2. China Meteorological Administration Key Open Laboratory of Transforming Climate Resources to Economy/Chongqing Meteorological Service Centre, Chongqing 401147; 3. China Meteorological Administration Key Open Laboratory of Transforming Climate Resources to Economy/Key Laboratory of Remote Sensing Application and Innovation/Chongqing Institute of Meteorological Sciences,Chongqing 401147
  • Received:2024-12-30 Online:2026-02-20 Published:2026-02-10

Abstract:

This study employed bibliometric and knowledge mapping techniques to analyze meteorological themes in highstandard farmland research in China, based on literature retrieved from the CNKI database between January 2004 and November 2024. The aim was to clarify the research hotspots, development trends, interdisciplinary features, and their evolution in this field, and to refine the theoretical framework, provide scientific support for the planning, construction, cultivation of highstandard farmland, enhance agricultural meteorological services, and boost its capacity for stable and high yields. The results showed that 174 Chinese publications addressed meteorological aspects of highstandard farmland, with distinct phases: slow growth from 2004 to 2013, steady growth from 2014 to 2018, and a notable surge after 2022. "land use" "land consolidation" and "Food security" were identified as highfrequency keywords, with research primarily concentrated on the latter two. The meteorological research clustered around four main themes: climate adaptation in farmland planning, responses to climate change in water resource utilization, ecometeorological risks in arable land use and precise monitoring of meteorological and secondary disasters. However, several core challenges remain: limited theoretical depth in understanding meteorological driving mechanisms, significant technical bottlenecks in multisource data integration and intelligent decisionmaking, and delays in developing meteorological service technologies for the operational phase. To address these issues, future efforts should emphasize deeper theoretical exploration, innovations in data fusion, and the enhancement of service systemsultimately fostering a closer integration between meteorological theory and practical application.

Key words: High?standard farmland, Bibliometrics, Climate change, Agricultural meteorological service, Food security