A model-based constraint on CO 2 fertilisation

We derive a constraint on the strength of CO 2 fertilisation of the terrestrial biosphere through a "top-down" approach, calibrating Earth system model parameters constrained by the post-industrial increase of atmospheric CO 2 concentration. We derive a probabilistic prediction for the globally averaged strength of CO 2 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 CO 2 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 CO 2 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 CO 2 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 CO 2 fertilisation, which therefore represents the combined effect of CO 2 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 CO 2 fertilisation and climate sinks) to be 66 GTC, likely to lie in the range 0 to 128 GTC.

[1]  T. D. Mitchell,et al.  An improved method of constructing a database of monthly climate observations and associated high‐resolution grids , 2005 .

[2]  Jeffrey M. Warren,et al.  CO2 enhancement of forest productivity constrained by limited nitrogen availability , 2010, Proceedings of the National Academy of Sciences.

[3]  Christopher B. Field,et al.  Stomatal responses to increased CO2: implications from the plant to the global scale , 1995 .

[4]  Alvaro Montenegro,et al.  Small temperature benefits provided by realistic afforestation efforts , 2011 .

[5]  Gordon B. Bonan,et al.  Quantifying carbon‐nitrogen feedbacks in the Community Land Model (CLM4) , 2010 .

[6]  D. Gerten,et al.  Global effects of doubled atmospheric CO2 content on evapotranspiration, soil moisture and runoff under potential natural vegetation , 2006 .

[7]  James D. Annan,et al.  Marine geochemical data assimilation in an efficient Earth System Model of global biogeochemical cycling , 2006 .

[8]  R. Dickinson,et al.  Couplings between changes in the climate system and biogeochemistry , 2007 .

[9]  F. Joos,et al.  The variability in the carbon sinks as reconstructed for the last 1000 years , 1999 .

[10]  C. Müller,et al.  Climate‐driven simulation of global crop sowing dates , 2012 .

[11]  C. Müller,et al.  Modelling the role of agriculture for the 20th century global terrestrial carbon balance , 2007 .

[12]  C. Müller,et al.  Virtual water content of temperate cereals and maize: Present and potential future patterns , 2010 .

[13]  Corinne Le Quéré,et al.  Trends in the sources and sinks of carbon dioxide , 2009 .

[14]  Robert Marsh,et al.  Incorporation of the C-GOLDSTEIN efficient climate model into the GENIE framework: "eb_go_gs" configurations of GENIE , 2009 .

[15]  A. R. Price,et al.  Millennial timescale carbon cycle and climate change in an efficient Earth system model , 2006 .

[16]  Thomas Hickler,et al.  Effects of human land-use on the global carbon cycle during the last 6,000 years , 2008 .

[17]  W. Broecker,et al.  Fate of Fossil Fuel Carbon Dioxide and the Global Carbon Budget , 1979, Science.

[18]  Jonathan Rougier,et al.  Probabilistic Inference for Future Climate Using an Ensemble of Climate Model Evaluations , 2007 .

[19]  J. Rougier,et al.  Precalibrating an intermediate complexity climate model , 2018 .

[20]  R. Ceulemans,et al.  Forest response to elevated CO2 is conserved across a broad range of productivity. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[21]  C. Körner Plant CO2 responses: an issue of definition, time and resource supply. , 2006, The New phytologist.

[22]  Andrei P. Sokolov,et al.  Historical and idealized climate model experiments : An EMIC intercomparison , 2012 .

[23]  Julia C. Hargreaves,et al.  Regulation of atmospheric CO2 by deep‐sea sediments in an Earth system model , 2007 .

[24]  E. Stehfest,et al.  Harmonization of land-use scenarios for the period 1500–2100: 600 years of global gridded annual land-use transitions, wood harvest, and resulting secondary lands , 2011 .

[25]  P. Ciais,et al.  The carbon budget of terrestrial ecosystems at country-scale – a European case study , 2004 .

[26]  F. I. Woodward,et al.  The importance of low atmospheric CO2 and fire in promoting the spread of grasslands and savannas , 2003 .

[27]  Nicolas Gruber,et al.  The Oceanic Sink for Anthropogenic CO2 , 2004, Science.

[28]  S S I T C H,et al.  Evaluation of Ecosystem Dynamics, Plant Geography and Terrestrial Carbon Cycling in the Lpj Dynamic Global Vegetation Model , 2022 .

[29]  H. Oeschger,et al.  Biospheric CO2 emissions during the past 200 years reconstructed by deconvolution of ice core data , 1987 .

[30]  F. Woodward,et al.  Terrestrial Gross Carbon Dioxide Uptake: Global Distribution and Covariation with Climate , 2010, Science.

[31]  Ian G. Enting,et al.  Carbon dioxide and climate impulse response functions for the computation of greenhouse gas metrics:a multi-model analysis , 2012 .

[32]  Timothy M. Lenton,et al.  A probabilistic calibration of climate sensitivity and terrestrial carbon change in GENIE-1 , 2010 .

[33]  P. Bernier,et al.  Testing for a CO2 fertilization effect on growth of Canadian boreal forests , 2011 .

[34]  Benjamin Smith,et al.  Representation of vegetation dynamics in the modelling of terrestrial ecosystems: comparing two contrasting approaches within European climate space , 2008 .

[35]  Thomas Raddatz,et al.  A reconstruction of global agricultural areas and land cover for the last millennium , 2008 .

[36]  Benjamin Smith,et al.  CO2 fertilization in temperate FACE experiments not representative of boreal and tropical forests , 2008 .

[37]  R. Schnur,et al.  Climate-carbon cycle feedback analysis: Results from the C , 2006 .

[38]  R. Betts Offset of the potential carbon sink from boreal forestation by decreases in surface albedo , 2000, Nature.

[39]  R. Houghton,et al.  Carbon Flux to the Atmosphere from Land-Use Changes 1850-2005 (NDP-050) , 2008 .

[40]  Olivier Boucher,et al.  Projected increase in continental runoff due to plant responses to increasing carbon dioxide , 2007, Nature.

[41]  Timothy M. Lenton,et al.  An efficient numerical terrestrial scheme (ENTS) for Earth system modelling , 2006 .

[42]  J. Murphy,et al.  A methodology for probabilistic predictions of regional climate change from perturbed physics ensembles , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[43]  J. Hargreaves,et al.  Regulation of atmospheric CO 2 by deep-sea sediments in an Earth system model , 2007 .

[44]  Fortunat Joos,et al.  Sensitivity of Holocene atmospheric CO 2 and the modern carbon budget to early human land use: analyses with a process-based model , 2010 .

[45]  Kevin I. C. Oliver,et al.  Controls on the spatial distribution of oceanic δ 13 C DIC , 2012 .