Effect of selective logging on soil microbial communities in a Pinus yunnanensis forest

Bibliographic Data

ID21648842
AuthorsShuaifeng Li (0000-0002-2555-1808, Research Institute of Resource Insects Chinese Academy of Forestry Kunming PR China), Xiaobo Huang (0000-0002-4692-1433, Research Institute of Resource Insects Chinese Academy of Forestry Kunming PR China), Xuedong Lang (Research Institute of Resource Insects Chinese Academy of Forestry Kunming PR China), Fandi Xu (0009-0003-8505-9617, Yunnan Agricultural University Kunming PR China), Hongyun Li (0000-0003-3332-3132, Yongren National Forest Farm Chuxiong PR China), Li HongYun (Chuxiong Normal University), Meixiang Zheng (Yongren National Forest Farm Chuxiong PR China), Jianrong Su (0000-0001-5307-3121, Research Institute of Resource Insects Chinese Academy of Forestry Kunming PR China, corresponding author)
Year2020
Volume31
Issue16
Pages2268-2280
Publication date2020-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLand Degradation and Development (JOURNAL)
Journal identifiersISSN: 1085-3278 • E-ISSN: 1099-145X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ldr.3600
OpenAlexW3012190679
LanguageEN
Citations received1
References cited41

Selective logging strongly affects forest structure and functions, which has direct and indirect effects on the soil microbial community. However, the effect of selective logging on soil microbial community composition remains unclear. We analyzed the soil microbial diversity and community composition in a pine ( Pinus yunnanensis ) forest using the Illumina platform for bacterial and fungal sequencing. The results showed that selective logging significantly altered most soil properties and stand attributes. Dominant phyla abundance varied significantly with change of selective logging intensity, affecting soil microbial community composition. The diversity of bacterial community decreased with the increase of selective logging intensity, whereas the diversity of fungi initially decreased and then increased. Soil properties accounted for most of the variation in the soil microbial communities, followed by stand attributes. Stand density (SD), soil pH, and soil moisture directly influenced the diversity of the bacterial communities, and understory species richness (USR), soil organic carbon (SOC), and soil hydrolysable nitrogen (HN) also directly influenced bacterial community composition. However, selective logging intensity affected the diversity and composition of the bacterial communities indirectly via SD, soil pH, HN, SOC, and USR. Similarly, the intensity of selective logging directly affected the diversity of fungal communities and also showed indirect effect on it via SD, soil pH, SOC, HN, C:N ratio, and soil available potassium. Further, selective logging intensity indirectly affected fungal community composition via soil available phosphorus. Our findings could be used to predict the change in the soil microbial community for the management of P. yunnanensis forest

Biology · Canopy · Community structure · Logging · Microbial population biology · Soil biology · Soil carbon · Soil water · Species richness · Understory · Environmental Science · Forest Ecology and Biodiversity Studies · Microbial Community Ecology and Physiology · Soil Carbon and Nitrogen Dynamics · Ecology · Soil Science

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