Forest water use and water use efficiency at elevated CO2: a model-data intercomparison at two contrasting temperate forest FACE sites

Research output: Contribution to journalArticle

Abstract

Predicted responses of transpiration to elevated atmospheric CO2 concentration (eCO2) are highly variable amongst process-based models. To better understand and constrain this variability amongst models, we conducted an intercomparison of 11 ecosystem models applied to data from two forest free-air CO2 enrichment (FACE) experiments at Duke University and Oak Ridge National Laboratory. We analysed model structures to identify the key underlying assumptions causing differences in model predictions of transpiration and canopy water use efficiency. We then compared the models against data to identify model assumptions that are incorrect or are large sources of uncertainty. We found that model-to-model and model-to-observations differences resulted from four key sets of assumptions, namely (i) the nature of the stomatal response to elevated CO2 (coupling between photosynthesis and stomata was supported by the data); (ii) the roles of the leaf and atmospheric boundary layer (models which assumed multiple conductance terms in series predicted more decoupled fluxes than observed at the broadleaf site); (iii) the treatment of canopy interception (large intermodel variability, 215%); and (iv) the impact of soil moisture stress (process uncertainty in how models limit carbon and water fluxes during moisture stress). Overall, model predictions of the CO2 effect on WUE were reasonable (intermodel =approximately 28%+/- 10%) compared to the observations (=approximately 30%+/- 13%) at the well-coupled coniferous site (Duke), but poor (intermodel =approximately 24%+/- 6%; observations =approximately 38%+/- 7%) at the broadleaf site (Oak Ridge). The study yields a framework for analysing and interpreting model predictions of transpiration responses to eCO2, and highlights key improvements to these types of models.

Details

Authors
  • Martin G. De Kauwe
  • Belinda E. Medlyn
  • Soenke Zaehle
  • Anthony P. Walker
  • Michael C. Dietze
  • Thomas Hickler
  • Atul K. Jain
  • Yiqi Luo
  • William J. Parton
  • I. Colin Prentice
  • Peter E. Thornton
  • Shusen Wang
  • Ying-Ping Wang
  • Ensheng Weng
  • Kristine Y. Crous
  • David S. Ellsworth
  • Paul J. Hanson
  • Hyun- Seok Kim
  • Jeffrey M. Warren
  • Ram Oren
  • Richard J. Norby
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Physical Geography

Keywords

  • climate change, CO2 fertilization, elevated CO2, FACE, models, plant, physiology, stomatal conductance, water
Original languageEnglish
Pages (from-to)1759-1779
JournalGlobal Change Biology
Volume19
Issue number6
Publication statusPublished - 2013
Publication categoryResearch
Peer-reviewedYes