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Evidence and patterns of decreased sensitivity of vegetation leaf photosynthetic efficiency to precipitation

  • Zongsen Wang
  • , Zijun Wang
  • , Tingyi Xue
  • , Jiaxuan Chen
  • , Yangyang Liu
  • , Zhongming Wen
  • , Stephen Sitch
  • , Pierre Friedlingstein
  • , Wenping Yuan
  • , Xu Chen
  • , Haijing Shi
  • , Ercha Hu
  • , Daniel Kennedy
  • , Sönke Zaehle
  • Northwest Agriculture and Forestry University
  • University of Exeter
  • CNRS
  • Peking University
  • Inner Mongolia Academy of Forestry Sciences
  • Max Planck Institute for Biogeochemistry

Research output: Contribution to journalArticlepeer-review

Abstract

The sensitivity of vegetation to climate is an important indicator for measuring changes in plant production and predicting future ecosystem functions in the context of global change. However, the sensitivity of global vegetation photosynthetic capacity to precipitation has not been studied. In this study, we defined vegetation leaf photosynthetic efficiency (LPE) using the ratio of gross primary productivity to leaf area index. We used multiple regression to establish the sensitivity coefficient ( S p ) of LPE to precipitation and then explored how S p has evolved in space and time across the world's climate zones and land biomes from 1982 to 2018. We also used random forest and multi-scenario simulations of dynamic vegetation models to investigate the driving mechanism of the changes in Sp. Results indicated that S p was higher in arid zone and cropland. The S p exhibited a significantly decreasing trend from 1982 to 2018 ( p < 0.05), with the most pronounced decreases observed in arid regions among various aridity gradients, and most occurred in croplands and pastures among different plant functional types. VPD was identified as the largest contributing factor to the decrease in S p , followed by temperature and radiation, while soil moisture had a relatively small contribution to S p change. Overall, CO2, climate change and land use change may explain 36.2% 32.3% and 31.5% of the changes in S p , respectively. The research results help deepen our understanding of the driving mechanisms of carbon cycling in terrestrial ecosystems, and are of great significance for ecosystem management and protection in the context of global change.

Original languageEnglish
Article number105533
JournalGlobal and Planetary Change
Volume263
DOIs
StatePublished - Aug 2026

Keywords

  • Dynamic vegetation model
  • Leaf photosynthetic efficiency (LPE)
  • Precipitation
  • Random Forest
  • Relative contribution
  • Sensitivity

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