4.7 Article

Responses of microbial residues to simulated climate change in a semiarid grassland

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 644, 期 -, 页码 1286-1291

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2018.07.055

关键词

Amino sugars; Microbial residues; Soil carbon; Climate change; Temperate steppe

资金

  1. Natural Science Foundation of China [41630862]
  2. China Soil Microbiome Initiative: Function and regulation of soil-microbial systems of the Chinese Academy of Sciences [XDB15040200]
  3. CAS Interdisciplinary Innovation Team

向作者/读者索取更多资源

Microbial residues play important role in regulating soil carbon (C) turnover and stability, but the responses of microbial residues to climate change are neglected. In this study, a 5-year field experiment that simulated two climate change factors (precipitation and warming) was performed to examine microbial residue changes in a semiarid grassland, with water limitation. Both the contents of total amino sugars (a biomarker of microbial residues) and glucosamine (a biomarker of fungal residues) increased significantly with increased precipitation and decreased under warming, whereas neither increased precipitation nor warming influenced the content of muramic acid (a biomarker of bacterial residues). These findings clarified the role of fungal residues in determining the response of microbial residues to altered water availability and plant productivity induced by increased precipitation and elevated temperature. Interestingly, microbial residues had a much greater response to climate change than total soil C, implying that soil C composition and stability altered prior to soil C storage and simultaneously slowed down the change of soil C pool. Integrating microbial residues into current climate-Cmodels is expected to enable the models to more accurately evaluate soil C responses to climate regimes in semiarid grasslands. (C) 2018 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据