Acta Agriculturae Zhejiangensis ›› 2023, Vol. 35 ›› Issue (11): 2688-2697.DOI: 10.3969/j.issn.1004-1524.20230785

• Environmental Science • Previous Articles     Next Articles

Research trend of soil quality assessment and microbiological indicators based on Web of Science database

CUI Lingyu1(), YU Man2,*(), QIAO Yuying2, SU Yao2, WANG Yunlong2, SHEN Alin2   

  1. 1. College of Environment and Resources, Zhejiang A&F University, Hangzhou 311300, China
    2. Environmental Resources and Soil Fertilizer Research Institute, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China
  • Received:2023-06-21 Online:2023-11-25 Published:2023-12-04

Abstract:

To clarify the dynamics and trend of soil quality assessment comprehensively and objectively, a bibliometric analysis of the number of published literautres, highly cited articles, research hotspots and trends was conducted based on the Web of Science database pertaining to soil quality assessment in the past 10 years (2012-2022). Knowledge mapping tools, such as softwares of HistCite Pro2.1, VOSviewer 1.6.19 and CiteSpace 6.1.R6 were used. It was shown that there was a consistent increase in the number of published literatures related to soil quality assessment during the past 10 years. The keywords clustering network was divided into three groups, namely, soil health assessment, soil quality evaluation, and microbial indicators. The research hotspots included indicator screening methods and the application of microbial indicators in soil quality/health assessment. Future research trends involved exploring the core functional microorganisms and dominant strains in soil as microbial evaluation indicators and applying machine learning models to evaluate soil quality under different soil types, cropping systems and management measures.

Key words: soil quality assessment, soil health evaluation, bibliometric analysis, microbial indicators, machine learning

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