Plant evolutionary history mainly explains the variance in biomass responses to climate warming at a global scale

  • Junjiong Shao
  • , Tengfei Yuan
  • , Zhen Li
  • , Nan Li
  • , Huiying Liu
  • , Shahla Hosseini Bai
  • , Jianyang Xia
  • , Meng Lu
  • , Xuhui Zhou*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Evolutionary history shapes the interspecific relatedness and intraspecific variation, which has a profound influence on plant functional traits and productivity. However, it is far from clear how the phylogenetic relatedness among species and intraspecific variation could contribute to the observed variance in plant biomass responses to climate warming. We compiled a dataset with 284 species from warming experiments to explore the relative importance of phylogenetic, intraspecific, experimental and ecological factors to warming effects on plant biomass, using phylogenetic eigenvector regression and variance decomposition. Our results showed that phylogenetic relatedness could account for about half the total variance in biomass responses to warming, which were correlated with leaf economic traits at the family level but not at species level. The intraspecific variation contributed to approximately one-third of the variance, whereas the experimental design and ecological characteristics only explained 7–17%. These results suggest that intrinsic factors (evolutionary history) play more important roles than extrinsic factors (experimental treatment and environment) in determining the responses of plant biomass to warming at the global scale. This highlights the urgent need for land surface models to include evolutionary aspects in predicting ecosystem functions under climate change.

Original languageEnglish
Pages (from-to)1338-1351
Number of pages14
JournalNew Phytologist
Volume222
Issue number3
DOIs
StatePublished - May 2019

Keywords

  • evolutionary history
  • global warming
  • intraspecific variation
  • leaf traits
  • phylogenetic relatedness
  • plant biomass
  • variance partitioning

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