Responses of AM fungal abundance to the drivers of global climate change: A meta-analysis

Han Hu, Liyuan He, Huanfei Ma, Jieying Wang, Yi Li, Jun Wang, Yaoxin Guo, Chengjie Ren, Hongying Bai, Fazhu Zhao

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Arbuscular mycorrhizal fungi (AMF), playing critical roles in carbon cycling, are vulnerable to climate change. However, the responses of AM fungal abundance to climate change are unclear. A global-scale meta-analysis was conducted to investigate the response patterns of AM fungal abundance to warming, elevated CO2 concentration (eCO2), and N addition. Both warming and eCO2 significantly stimulated AM fungal abundance by 18.6% (95%CI: 5.9%–32.8%) and 21.4% (15.1%–28.1%) on a global scale, respectively. However, the response ratios (RR) of AM fungal abundance decreased with the degree of warming while increased with the degree of eCO2. Furthermore, in warming experiments, as long as the warming exceeded 4 °C, its effects on AM fungal abundance changed from positive to negative regardless of the experimental durations, methods, periods, and ecosystem types. The effects of N addition on AM fungal abundance are −5.4% (−10.6%–0.2%), and related to the nitrogen fertilizer input rate and ecosystem type. The RR of AM fungal abundance is negative in grasslands and farmlands when the degree of N addition exceeds 33.85 and 67.64 kg N ha−1 yr−1, respectively; however, N addition decreases AM fungal abundance in forests only when the degree of N addition exceeds 871.31 kg N ha−1 yr−1. The above results provide an insight into predicting ecological functions of AM fungal abundance under global changes.

Original languageEnglish
Article number150362
JournalScience of the Total Environment
Volume805
DOIs
StatePublished - Jan 20 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 Elsevier B.V.

Keywords

  • AM fungal abundance
  • Ecological consequence
  • Elevated CO concentration
  • N addition
  • Warming
  • meta-analysis

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