Abstract

Abstract. We derive a constraint on the strength of CO2 fertilisation of the terrestrial biosphere through a "top-down" approach, calibrating Earth system model parameters constrained by the post-industrial increase of atmospheric CO2 concentration. We derive a probabilistic prediction for the globally averaged strength of CO2 fertilisation in nature, for the period 1850 to 2000 AD, implicitly net of other limiting factors such as nutrient availability. The approach yields an estimate that is independent of CO2 enrichment experiments. To achieve this, an essential requirement was the incorporation of a land use change (LUC) scheme into the GENIE Earth system model. Using output from a 671-member ensemble of transient GENIE simulations, we build an emulator of the change in atmospheric CO2 concentration change since the preindustrial period. We use this emulator to sample the 28-dimensional input parameter space. A Bayesian calibration of the emulator output suggests that the increase in gross primary productivity (GPP) in response to a doubling of CO2 from preindustrial values is very likely (90% confidence) to exceed 20%, with a most likely value of 40–60%. It is important to note that we do not represent all of the possible contributing mechanisms to the terrestrial sink. The missing processes are subsumed into our calibration of CO2 fertilisation, which therefore represents the combined effect of CO2 fertilisation and additional missing processes. If the missing processes are a net sink then our estimate represents an upper bound. We derive calibrated estimates of carbon fluxes that are consistent with existing estimates. The present-day land–atmosphere flux (1990–2000) is estimated at −0.7 GTC yr−1 (likely, 66% confidence, in the range 0.4 to −1.7 GTC yr−1). The present-day ocean–atmosphere flux (1990–2000) is estimated to be −2.3 GTC yr−1 (likely in the range −1.8 to −2.7 GTC yr−1). We estimate cumulative net land emissions over the post-industrial period (land use change emissions net of the CO2 fertilisation and climate sinks) to be 66 GTC, likely to lie in the range 0 to 128 GTC.

Highlights

  • Experimental evidence almost without exception shows a stimulation of leaf photosynthesis when plants are exposed to elevated CO2 (Koerner, 2006)

  • We model the climatic impacts of land use change (LUC) through its effect on surface albedo and roughness length. (The soil moisture bucket implementation is unchanged but bucket capacity is affected by LUC due to the change in soil carbon.) We note that soil carbon is reduced by the direct effect of LUC via the kc land management parameter, which is assumed to be positive, in general the climatic impacts of LUC act to oppose this change

  • K14 is re-expressed as the percentage increase in photosynthesis in response to a doubling of CO2 from preindustrial levels in order to facilitate comparison with alternative estimates

Read more

Summary

Introduction

Experimental evidence almost without exception shows a stimulation of leaf photosynthesis when plants are exposed to elevated CO2 (Koerner, 2006). In addition to this direct effect on photosynthesis, the short timescale physiological effect of reduced stomatal opening increases water-use efficiency and increases the efficiency of photosynthesis (Field et al, 1995). Increased concentrations of atmospheric CO2 lead to increased photosynthesis and more efficient drawdown, transferring some fraction of these emissions from the atmosphere into terrestrial carbon pools. In addition to the implications for future vegetation and crop growth, improved quantification of the globally integrated effects of CO2 fertilisation in nature is crucial to reduce the uncertainties in carbon-cycle projections from process-based models. In response to SRES A2 forcing, projections of 2100 CO2 from 11 C4MIP models ranged from 740 to 1030 ppm, the largest source of uncertainty coming from the terrestrial response to elevated CO2 (Friedlingstein et al, 2006)

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call