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Thermal acclimation of plant photosynthesis and autotrophic respiration in a northern peatland

  • Shuang Ma
  • , Lifen Jiang
  • , Rachel M. Wilson
  • , Jeff Chanton
  • , Shuli Niu
  • , Colleen M. Iversen
  • , Avni Malhotra
  • , Jiang Jiang
  • , Yuanyuan Huang
  • , Xingjie Lu
  • , Zheng Shi
  • , Feng Tao
  • , Junyi Liang
  • , Daniel Ricciuto
  • , Paul J. Hanson
  • , Yiqi Luo

Research output: Contribution to journalArticlepeer-review

Abstract

Peatlands contain one-third of global soil carbon (C), but the responses of peatland ecosystems to long-term warming are not well understood. Here, we pursue an emergent understanding of warming effects on ecosystem C fluxes at peatlands by constraining a process-oriented model, the terrestrial ECOsystem model, with observational data from a long-term warming experiment at the Spruce and Peatland Responses Under Changing Environments site. Model-based assessments show that ecosystem-level photosynthesis and autotrophic respiration exhibited significant thermal acclimation, with temperature sensitivities being linearly decreased with warming. Using the thermal-acclimated parameter values, simulated gross primary production, net primary production, and plant autotrophic respiration (R a), were all lower than those simulated with non-thermal acclimated parameter values. In contrast, ecosystem respiration simulated with thermal acclimated parameter values was higher than that simulated with non-thermal acclimated parameter values. Net ecosystem CO2 exchange was much higher after constraining model parameters with observational data from the warming treatments, releasing C at a rate of 28.3 g C m−2 yr−1 °C−1. Our data-model integration study suggests that peatlands are likely to release more C than previously estimated. Earth system models may overestimate C uptake by peatlands under warming if physiological thermal acclimation of plants is not incorporated. Thus, it is critical to consider the long-term physiological thermal acclimation of plants in the models to better predict global C dynamics under future climate and their feedback to climate change.

Original languageEnglish (US)
Article number025003
JournalEnvironmental Research: Climate
Volume2
Issue number2
DOIs
StatePublished - Jun 1 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action
  2. SDG 15 - Life on Land
    SDG 15 Life on Land

All Science Journal Classification (ASJC) codes

  • Global and Planetary Change
  • Environmental Science (miscellaneous)

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