Urban forest soil properties and microbial characteristics: seasonal and stand-specific variations

• Published in: Applied soil ecology : a section of Agriculture, ecosystems & environment Vol. 209; p. 105995
• Main Authors: Wan, Xin, Qiu, Sumei, Zhou, Runyang, Li, Liwen, Xing, Wei, Yuan, Yingdan
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.05.2025
• Subjects: algorithms; bamboos; broadleaved trees; China; Cornus officinalis; electrical conductivity; enzyme activity; forest soils; fungi; Metasequoia glyptostroboides; microbial biomass; microbial carbon; potassium; rhizosphere; shrubs; Soil enzyme activity; soil enzymes; Soil microbial biomass; Soil microorganisms; Soil physicochemical properties; total nitrogen; Urban forests; China; Soil enzyme activity; Soil microorganisms; Soil microbial biomass; Urban forests; Soil physicochemical properties
• ISSN: 0929-1393
• DOI: 10.1016/j.apsoil.2025.105995

Urban forests are essential to maintain the stability of urban ecosystems. Soil microorganisms in forest environments are critical components of these ecosystems and are subject to various influencing factors. This study examined six distinct forest soils in the Zhuyu Bay Scenic Area of Yangzhou City, Jiangsu Province, China. The forest types investigated were mixed pine and cypress forest (PC), Metasequoia glyptostroboides (MG), Cornus officinalis (CO), mixed broad-leaved shrub forest (MS), mixed broad-leaved tree forest (MT), and bamboo forest (BF). The research involved measuring soil physicochemical properties, microbial biomass, and soil enzyme activity across four seasons. We analyzed the structural characteristics of the bacterial and fungal communities in both rhizosphere and bulk soil samples. Upon thorough analysis, BF and MS were determined to be most effective tree species for urban forest ecosystems. Mantel analysis revealed that Electrical Conductivity (EC), Available potassium (AK), and Microbial Biomass Carbon (MBC) are the primary soil factors affecting rhizosphere microorganisms, while Total Nitrogen (TN) and AK predominantly affected bulk soil microorganisms. Finally, through a random forest model and a Structural Equation Modeling (SEM), it revealed that soil physicochemical properties, rather than microbial biomass and soil enzymatic activity, are the dominant factors influencing seasonal variations in soil microbial communities.