Home-field advantage of litter decomposition differs among leaves, absorptive roots, and transport roots

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  • Xiaoxiang Zhao
  • Qiuxiang Tian
  • Michelsen, Anders
  • Qiaoling Lin
  • Xudong Yuan
  • Long Chen
  • Mengzhen Lu
  • Qinghu Jiang
  • Rudong Zhao
  • Feng Liu
Background and aims
Home-field advantage (HFA) in litter decomposition occurs widely in terrestrial ecosystems, but it remains unknown that how leaf, absorptive and transport roots differ in their HFA. Here we conducted a 635-day litter transplant (leaves, absorptive roots, and transport roots) decomposition experiment, using three tree species (Cyclobalanopsis multinervis, Fagus lucida, Cryptomeria japonica), in a subtropical forest to explore their differences in HFA effects.

Results
The mass loss of leaves was higher than that of absorptive and transport roots. The mass loss of fine roots differed among species. Leaves were more prone to exhibit significant HFA compared to absorptive and transport roots, and absorptive roots were more prone to exhibit significant HFA compared to transport roots. The HFA effect was not explained by the initial chemical characteristics of litter except C concentration.

Conclusions
These findings suggest that HFA effect can occur in labile and recalcitrant litters and are generally not regulated by the initial chemical characteristics. Absorptive and transport roots exhibit different HFA patterns, highlighting the need to identify the effects of HFA on root decomposition by functional classification rather than diameter class to gain a better understanding of fine root decomposition.
OriginalsprogEngelsk
TidsskriftPlant and Soil
ISSN0032-079X
DOI
StatusE-pub ahead of print - 2024

Bibliografisk note

Funding Information:
This study was supported by the National Natural Science Foundation of China (Grant numbers 32371736, 32171599). We are very grateful to Prof. Hans Lambers from The University of Western Australia for his constructive comments, valuable suggestions in data analysis and manuscript writing.

Publisher Copyright:
© 2024, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

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