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  • GPPpaper_ERyan_Submitted_FirstLook_14Dec2016

    Rights statement: This is the peer reviewed version of the following article: Ryan, E. M., Ogle, K., Peltier, D., Walker, A. P., De Kauwe, M. G., Medlyn, B. E., Williams, D. G., Parton, W., Asao, S., Guenet, B., Harper, A. B., Lu, X., Luus, K. A., Zaehle, S., Shu, S., Werner, C., Xia, J. and Pendall, E. (2017), Gross primary production responses to warming, elevated CO2, and irrigation: quantifying the drivers of ecosystem physiology in a semiarid grassland. Glob Change Biol, 23: 3092–3106. doi:10.1111/gcb.13602 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/gcb.13602/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

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Gross primary production responses to warming, elevated CO2, and irrigation: quantifying the drivers of ecosystem physiology in a semiarid grassland

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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  • Edmund Ryan
  • Kiona Ogle
  • Drew Peltier
  • Anthony Walker
  • Martin De Kauwe
  • Belinda Medlyn
  • David Williams
  • William Parton
  • Shinichi Asao
  • Bertrand Guenet
  • Anna Harper
  • Xingjie Lu
  • Kristina Luus
  • Shijie Shu
  • Christian Werner
  • Jianyang Xia
  • Sonke Zaehle
  • Elise Pendall
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<mark>Journal publication date</mark>08/2017
<mark>Journal</mark>Global Change Biology
Issue number8
Volume23
Number of pages15
Pages (from-to)3092-3106
Publication StatusPublished
Early online date19/12/16
<mark>Original language</mark>English

Abstract

Determining whether the terrestrial biosphere will be a source or sink of carbon (C) under a future climate of elevated CO2 (eCO2) and warming requires accurate quantification of gross primary production (GPP), the largest flux of C in the global C cycle. We evaluated six years (2007-2012) of flux-derived GPP data (~2500 values) from the Prairie Heating and CO2 Enrichment (PHACE) experiment, situated in a mixed prairie grassland in Wyoming, USA. The GPP data were used to calibrate a light response model whose basic formulation has been successfully used in a variety of ecosystems. The model, however, was extended to allow for variable maximum photosynthetic rate (Amax) and light-use efficiency (Q) by modeling these terms as functions of time varying driving variables (soil water content, air temperature, vapor pressure deficit, vegetation greenness, nitrogen) at current and antecedent (past) time scales. The model fit the observed GPP well (R2 = 0.79), which was confirmed by other model performance checks (deviance information criterion and posterior predictive loss) that compared different variants of the model (e.g., with and without antecedent effects). Stimulation of cumulative six-year GPP by warming (29%, P=0.02) and eCO2 (26%, P=0.07) was primarily driven by enhanced C uptake during spring (129%, P=0.001) and fall (124%, P=0.001), respectively. These enhancements were consistent across each year, suggesting mechanisms for extending the growing season. Antecedent air temperature (Tairant) and vapor pressure deficit (VPDant) effects on Amax were the most significant predictors of temporal variability in GPP among most treatments. The importance of VPDant suggests that atmospheric drought plays an important role for predicting GPP under current and future climate. Given the limited research supporting the role of VPDant in this context, we highlight the need for experimental studies to identify the mechanisms underlying such antecedent effects.

Bibliographic note

This is the peer reviewed version of the following article: Ryan, E. M., Ogle, K., Peltier, D., Walker, A. P., De Kauwe, M. G., Medlyn, B. E., Williams, D. G., Parton, W., Asao, S., Guenet, B., Harper, A. B., Lu, X., Luus, K. A., Zaehle, S., Shu, S., Werner, C., Xia, J. and Pendall, E. (2017), Gross primary production responses to warming, elevated CO2, and irrigation: quantifying the drivers of ecosystem physiology in a semiarid grassland. Glob Change Biol, 23: 3092–3106. doi:10.1111/gcb.13602 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/gcb.13602/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.