Forest management positively reshapes the phyllosphere bacterial community and improves community stability

Environ Int. 2024 Apr:186:108611. doi: 10.1016/j.envint.2024.108611. Epub 2024 Mar 28.

Abstract

Research has shown that forest management can improve the post-drought growth and resilience of Qinghai spruce in the eastern Qilian Mountains, located on the northeastern Tibetan Plateau. However, the impact of such management on the tree-associated phyllosphere microbiome is not yet fully understood. This study provides new evidence of positive forest management effects on the phyllosphere microbiome after extreme drought, from the perspectives of community diversity, structure, network inference, keystone species, and assembly processes. In managed Qinghai spruce forest, the α-diversity of the phyllosphere bacterial communities increased, whereas the β-diversity decreased. In addition, the phyllosphere bacterial community became more stable and resistant, yet less complex, following forest management. Keystone species inferred from a bacterial network also changed under forest management. Furthermore, forest management mediated changes in community assembly processes, intensifying the influence of determinacy, while diminishing that of stochasticity. These findings support the hypothesis that management can re-assemble the phyllosphere bacterial community, enhance community stability, and ultimately improve tree growth. Overall, the study highlights the importance of forest management on the phyllosphere microbiome and furnishes new insights into forest conservation from the perspective of managing microbial processes and effects.

Keywords: Forest management; Microbial complexity and stability; Phyllosphere microbiome; Qinghai spruce.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bacteria* / classification
  • Biodiversity
  • Conservation of Natural Resources / methods
  • Droughts
  • Forestry / methods
  • Forests*
  • Microbiota*
  • Picea / microbiology
  • Trees / microbiology