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Effects of changing carbon input on soil chemical properties and microbial communities in subtropical coniferous and broad-leaved mixed forests
Received:February 18, 2024  
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KeyWord:soil microorganism;organic carbon input;high throughput sequencing;soil chemical property;mixed forest of Schima superba and Pinus massoniana
Author NameAffiliationE-mail
LI Jingkai Jiangxi Key Laboratory for Intelligent Monitoring and Integrated Restoration of Watershed Ecosystem, Nanchang Institute of Technology, Nanchang 330099, China  
ZHU Liqin Jiangxi Key Laboratory for Intelligent Monitoring and Integrated Restoration of Watershed Ecosystem, Nanchang Institute of Technology, Nanchang 330099, China zhlq.nit@163.com 
HUANG Rongzhen Jiangxi Key Laboratory for Intelligent Monitoring and Integrated Restoration of Watershed Ecosystem, Nanchang Institute of Technology, Nanchang 330099, China  
LIU Pingyu Jiangxi Key Laboratory for Intelligent Monitoring and Integrated Restoration of Watershed Ecosystem, Nanchang Institute of Technology, Nanchang 330099, China  
WANG Jinping Jiangxi Key Laboratory for Intelligent Monitoring and Integrated Restoration of Watershed Ecosystem, Nanchang Institute of Technology, Nanchang 330099, China  
FANG Huanying Jiangxi Key Laboratory for Intelligent Monitoring and Integrated Restoration of Watershed Ecosystem, Nanchang Institute of Technology, Nanchang 330099, China  
HOU Bin Jiangxi Key Laboratory for Intelligent Monitoring and Integrated Restoration of Watershed Ecosystem, Nanchang Institute of Technology, Nanchang 330099, China  
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Abstract:
      To investigate the impact of changes in organic carbon input on soil microbial community characteristics for enhancing soil fertility and restoring ecosystems in subtropical mixed coniferous and broad-leaved forests, in this study, we focus on the mixed conifer forest of Schima superba and Pinus massoniana formed by restoring subtropical red soil degraded land. Five treatments were set up in situ, namely, litter input + root input + mycorrhiza input(LRM, control treatment), double litter input + root input + mycorrhiza input(2LRM), litter removed + root input + mycorrhiza input(NRM), litter removed + root removed + mycorrhiza input(NNM), and litter removed + root removed + mycorrhiza removed(NNN). High throughput sequencing technology was used to analyze the characteristics of microbial communities in the surface soil of the mixed forests and investigate their relationship with soil chemical properties. 2LRM and NNN treatments significantly decreased the activity of soil acid phosphatase, NRM, NNM, and NNN treatments decreased the richness index and diversity index of soil fungi, and the change of organic carbon input had no significant effect on bacterial alpha diversity. The dominant bacterial phyla in mixed forest soil were Acidobacteria(15.5% - 40.2%), Proteobacteria(23.6% - 35.5%), and Actinobacteria(11.2% - 17.7%). The predominant fungal phyla were Basidiomycota(32.5%-47.8%), Ascomycota(26.9%-48.8%), and Mortierellomycota(12.8%- 34.5%). NRM treatment increased the relative abundance of Ascomycota by 62.1% and decreased the relative abundance of Basidiomycota by 27.6%. NNM treatment increased the relative abundances of Actinobacteria and Mortierellomycota by 57.8% and 169.8% and decreased the relative abundance of Acidobacteria and Basidiomycota by 57.7% and 22.7%, respectively. NNN treatment increased the relative abundance of Mortierellomycota by 61.0%. Soil organic matter, sucrase, and polyphenol oxidase were the key factors affecting the changes in the soil bacterial community; pH and sucrase were the key factors affecting the soil fungal community. The increase and decrease of organic carbon input decreased the alpha diversity of fungi but did not change the alpha diversity of bacteria. Simultaneously removing aboveground litter and underground roots had the most significant effect on microbial community composition.