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.
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.
| Original language | English |
|---|---|
| Pages (from-to) | 3092-3106 |
| Journal | Global Change Biology |
| Volume | 23 |
| Issue number | 7 |
| Early online date | 19 Dec 2016 |
| DOIs | |
| Publication status | Published - 2017 |
