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Distinct patterns of soil bacterial and fungal community assemblages in subtropical forest ecosystems under warming
Authors:Shu-Yi-Dan Zhou  Zhiyang Lie  Xujun Liu  Yong-Guan Zhu  Josep Peñuelas  Roy Neilson  Xiaoxuan Su  Zhanfeng Liu  Guowei Chu  Ze Meng  Junhua Yan  Juxiu Liu
Institution:1. Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China;2. Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China;3. Global Ecology Unit CREAF-CSIC-UAB, CSIC, Barcelona, Spain;4. Ecological Sciences, The James Hutton Institute, Dundee, Scotland, UK;5. Interdisciplinary Research Center for Agriculture Green Development in Yangtze River Basin, College of Resources and Environment, Southwest University, Chongqing, China;6. Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China

Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China

Abstract:Climate change globally affects soil microbial community assembly across ecosystems. However, little is known about the impact of warming on the structure of soil microbial communities or underlying mechanisms that shape microbial community composition in subtropical forest ecosystems. To address this gap, we utilized natural variation in temperature via an altitudinal gradient to simulate ecosystem warming. After 6 years, microbial co-occurrence network complexity increased with warming, and changes in their taxonomic composition were asynchronous, likely due to contrasting community assembly processes. We found that while stochastic processes were drivers of bacterial community composition, warming led to a shift from stochastic to deterministic drivers in dry season. Structural equation modelling highlighted that soil temperature and water content positively influenced soil microbial communities during dry season and negatively during wet season. These results facilitate our understanding of the response of soil microbial communities to climate warming and may improve predictions of ecosystem function of soil microbes in subtropical forests.
Keywords:climate change  network analysis  soil microbiome  tropical forest  warming
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