4.6 Article

Short-Term Snow Removal Alters Fungal but Not Bacterial Beta Diversity and Structure during the Spring Snowmelt Period in a Meadow Steppe of China

期刊

JOURNAL OF FUNGI
卷 8, 期 3, 页码 -

出版社

MDPI
DOI: 10.3390/jof8030234

关键词

climate change; snow cover; soil microfungi; soil microbial communities; community diversity; illumina sequencing

资金

  1. National Natural Science Foundation of China [31830092]
  2. China Agriculture Research System of MOF [CARS-35]
  3. China Agriculture Research System of MARA [CARS-35]

向作者/读者索取更多资源

Global climate change is affecting winter ice and snow amounts, which could have a significant impact on soil microbial processes. This study found that removing snow cover had a significant effect on the diversity and composition of soil fungal communities, but had no effect on bacterial communities. It also identified available nitrogen as the most important predictor of soil fungal beta diversity.
Global climate change is altering the amounts of ice and snow in winter, and this could be a major driver of soil microbial processes. However, it is not known how bacterial and fungal communities will respond to changes in the snow cover. We conducted a snow manipulation experiment to study the effects of snow removal on the diversity and composition of soil bacterial and fungal communities. A snow manipulation experiment was carried out on the meadow steppe in Hulunbuir, Inner Mongolia, China, during the winter period October 2019-March 2020. Soil samples were collected from the topsoil (0-10 cm) in mid-March 2020 (spring snowmelt period). Snow removal significantly reduced soil moisture and soil ammonium concentration. Lower snow cover also significantly changed the fungal community structure and beta diversity. Snow removal did not affect the bacterial community, indicating that fungal communities are more sensitive to snow exclusion than bacterial communities. The relative importance analysis (using the Lindeman-Merenda-Gold method) showed that available nitrogen (AN), soil water content (SWC), total organic carbon (TOC), microbial biomass carbon (MBC), and microbial biomass nitrogen (MBN) together explained 94.59% of the variation in soil fungal beta diversity, where AN was identified as the most important predictor. These finding provide insights into potential impacts of climate warming and associated reduced snow cover on soil microbial communities and processes.

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