The land and ocean act as a sink for fossil-fuel emissions, thereby slowing the rise of atmospheric carbon dioxide concentrations1. Although the uptake of carbon by oceanic and terrestrial processes has kept pace with accelerating carbon dioxide emissions until now, atmospheric carbon dioxide concentrations exhibit a large variability on interannual timescales2, considered to be driven primarily by terrestrial ecosystem processes dominated by tropical rainforests3. We use a terrestrial biogeochemical model, atmospheric carbon dioxide inversion and global carbon budget accounting methods to investigate the evolution of the terrestrial carbon sink over the past 30 years, with a focus on the underlying mechanisms responsible for the exceptionally large land carbon sink reported in 2011 (ref. 2). Here we show that our three terrestrial carbon sink estimates are in good agreement and support the finding of a 2011 record land carbon sink. Surprisingly, we find that the global carbon sink anomaly was driven by growth of semi-arid vegetation in the Southern Hemisphere, with almost 60 per cent of carbon uptake attributed to Australian ecosystems, where prevalent La Niña conditions caused up to six consecutive seasons of increased precipitation. In addition, since 1981, a six per cent expansion of vegetation cover over Australia was associated with a fourfold increase in the sensitivity of continental net carbon uptake to precipitation. Our findings suggest that the higher turnover rates of carbon pools in semi-arid biomes are an increasingly important driver of global carbon cycle inter-annual variability and that tropical rainforests may become less relevant drivers in the future. More research is needed to identify to what extent the carbon stocks accumulated during wet years are vulnerable to rapid decomposition or loss through fire in subsequent years.
This is a preview of subscription content, access via your institution
Open Access articles citing this article.
Increasing sensitivity of dryland vegetation greenness to precipitation due to rising atmospheric CO2
Nature Communications Open Access 19 August 2022
Scientific Reports Open Access 20 July 2022
Communications Biology Open Access 27 June 2022
Subscribe to Journal
Get full journal access for 1 year
only $3.90 per issue
All prices are NET prices.
VAT will be added later in the checkout.
Tax calculation will be finalised during checkout.
Get time limited or full article access on ReadCube.
All prices are NET prices.
Ballantyne, A. P., Alden, C. B., Miller, J. B., Tans, P. P. & White, J. W. C. Increase in observed net carbon dioxide uptake by land and oceans during the past 50 years. Nature 488, 70–72 (2012)
Le Quéré, C. et al. The global carbon budget 1959–2011. Earth Syst. Sci. Data 5, 1107–1157 (2013)
Cox, P. et al. Sensitivity of tropical carbon to climate change constrained by carbon dioxide variability. Nature 494, 341–344 (2013)
Peters, G. P. et al. The challenge to keep global warming below 2 °C. Nature Clim. Change 3, 4–6 (2012)
Pan, Y. et al. A large and persistent carbon sink in the world’s forests. Science 333, 988–993 (2011)
Canadell, J. G. et al. Contributions to accelerating atmospheric CO2 growth from economic activity, carbon intensity, and efficiency of natural sinks. Proc. Natl Acad. Sci. USA 104, 18866–18870 (2007)
Sitch, S. et al. Trends and drivers of regional sources and sinks of carbon dioxide over the past two decades. Biogeosci. Disc. 10, 20113–20177 (2013)
Sitch, S. et al. Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Glob. Change Biol. 9, 161–185 (2003)
Chevallier, F. et al. CO2 surface fluxes at grid point scale estimated from a global 21 year reanalysis of atmospheric measurements. J. Geophys. Res. D 115, D21307 (2010)
Francey, R. J. et al. Atmospheric verification of anthropogenic CO2 emission trends. Nature Clim. Change 3, 520–524 (2013)
Harris, I., Jones, P. D., Osborn, T. J. & Lister, D. H. Updated high-resolution grids of monthly climatic observations – the CRU TS3.10 Dataset. Int. J. Climatol. 34,. 623–642 (2013)
Bastos, A., Running, S. W., Gouveia, C. & Trigo, R. M. The global NPP dependence on ENSO: La-Niña and the extraordinary year of 2011. J. Geophys. Res. 118, 1247–1255 (2013)
Haverd, V. et al. Multiple observation types reduce uncertainty in Australia's terrestrial carbon and water cycles. Biogeosciences 10, 2011–2040 (2013)
Haverd, V. et al. The Australian terrestrial carbon budget. Biogeosciences 10, 851–869 (2013)
Rotenberg, E. & Yakir, D. Contribution of semi-arid forests to the climate system. Science 327, 451–454 (2010)
Zhu, Z. et al. Global Data Sets of Vegetation LAI3g and FPAR3g derived from GIMMS NDVI3g for the period 1981 to 2011. Remote Sens. 5, 927–948 (2013)
Marengo, J. A., Tomasella, J., Alves, L. M., Soares, W. R. & Rodriguez, D. A. The drought of 2010 in the context of historical droughts in the Amazon region. Geophys. Res. Lett. 38, L12703 (2011)
Wolter, K. & Timlin, M. S. Monitoring ENSO in COADS with a seasonally adjusted principal component index. In Proc. 17th Climate Diagnostics Workshop 52–57 (NOAA/NMC/CAC, NSSL, Univ. Oklahoma, 1993)
Myneni, R. B., Los, S. O. & Tucker, C. J. Satellite-based identification of linked vegetation index and sea surface temperate anomaly areas from 1982–1990 for Africa, Australia and South America. Geophys. Res. Lett. 23, 729–732 (1996)
Woodward, F. I., Lomas, M. R. & Quaife, T. Global responses of terrestrial productivity to contemporary climatic oscillations. Phil. Trans. R. Soc. Lond. B 363, 2779–2785 (2008)
Boening, C. Willis, J. K. Landerer, F. W., Nerem, R. S. & Fasullo, J. The 2011 La Niña: so strong, the oceans fell. Geophys. Res. Lett. 39 http://dx.doi.org/10.1029/2012GL053055 (2012)
Donohue, R. J., McVicar, T. R. & Roderick, M. L. Climate-related trends in Australian vegetation cover as inferred from satellite observations, 1981–2006. Glob. Change Biol. 15, 1025–1039 (2009)
Donohue, R. J., Roderick, M. L., McVicar, T. R. & Farquhar, G. D. CO2 fertilisation has increased maximum foliage cover across the globe’s warm, arid environments. Geophys. Res. Lett. 40, 3031–3035 (2013)
Asner, G. P., Elmore, A. J., Olander, L. P., Martin, R. E. & Harris, A. T. Grazing systems, ecosystem responses, and global change. Annu. Rev. Environ. Resour. 29, 261–299 (2004)
Jung, M., Reichstein, M. & Bondeau, A. Towards global empirical upscaling of FLUXNET eddy covariance observations: validation of a model tree ensemble approach using a biosphere model. Biogeosciences 6, 5271–5304 (2009)
Andela, N., Liu, Y. Y., van Dijk, A. I. J. M., de Jeu, R. A. M. & McVicar, T. R. Global changes in dryland vegetation dynamics (1988–2008) assessed by satellite remote sensing: combining a new passive microwave vegetation density record with reflective greenness data. Biogeosci. 10, 6657–6676 (2013)
Kang, S. M. et al. Modeling evidence that ozone depletion has impacted extreme precipitation in the austral summer. Geophys. Res. Lett. 40, 4054–4059 (2013)
Wang, W. et al. Variations in atmospheric CO2 growth rates controlled by tropical temperature. Proc. Natl Acad. Sci. USA 10.1073/pnas.1219683110 (2013)
Taylor, K. E., Stouffer, R. J. & Meehl, G. A. An overview of the CMIP5 and the experimental design. Bull. Am. Meteorol. Soc. 93, 485–498 (2012)
Le Quéré, C. et al. Global carbon budget 2013. Earth Syst. Sci. Data Discuss. 6, 689–760 (2013)
Chapin, F. S. et al. Reconciling carbon-cycle concepts, terminology, and methods. Ecosystems 9, 1041–1050 (2006)
Zaehle, S., Sitch, S., Smith, B. & Hattermann, F. Effects of parameter uncertainty on the modeling of terrestrial biosphere dynamics. Glob. Biogeochem. Cycles 19 GB3020 http://dx.doi.org/10.1029/2004GB002395 (2005)
Poulter, B., Frank, D., Hodson, E. L., Lischke, H. & Zimmermann, N. E. Impacts of land cover and climate data selection on understanding terrestrial carbon dynamics and the CO2 airborne fraction. Biogeosciences 8, 2027–2036 (2011)
Kaiser, J. W. et al. Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power. Biogeosciences 9, 527–554 (2012)
van der Werf, G. R. et al. Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009). Atmos. Chem. Phys. Discuss. 10, 16153–16230 (2010)
van der Werf, G. R. et al. Interannual variability in global biomass burning emissions from 1997-2004. Atmos. Chem. Phys. 6, 3423–3441 (2006)
Zhao, M. & Running, S. W. Drought-induced reduction in global terrestrial net primary production from 2000 through 2009. Science 329, 940–943 (2010)
Moss, R. H. et al. The next generation of scenarios for climate change research and assessment. Nature 463, 747–756 (2010)
Liu, Y. Y., van Dijk, A. I. J. M., McCabe, M. F., Evans, J. P. & de Jeu, R. A. M. Global vegetation biomass change (1988–2008) and attribution to environmental and human drivers. Glob. Ecol. Biogeogr. 6, 692–705 (2012)
Kanamitsu, M. et al. NCEP-DEO AMIP-II Reanalysis (R-2). Bull. Am. Meteorol. Soc. 83, 1631–1643 (2002)
We acknowledge support from the EU FP7 GEOCARBON programme (283080), and thank the researchers involved with collecting and maintaining the climate data at the Climate Research Unit, University of East Anglia, UK, and the National Center for Atmospheric Research, USA. We also acknowledge the World Climate Research Programme’s Working Group on Coupled Modelling, which is responsible for CMIP. We thank the climate modelling groups for producing and making available their model output. For CMIP the US Department of Energy’s Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals. We also thank M. Jung for providing the ‘upscaled’ NEE data used in our analysis. J.G.C. acknowledges the support of the Australian Climate Change Science Program. R.B.M. and S.W.R. were funded by the NASA Earth Science Division. C. Le Quéré and L. Cernusak provided comments and suggestions that improved the manuscript. This paper is a contribution to the Global Carbon Budget activity of the Global Carbon Project.
The authors declare no competing financial interests.
Extended data figures and tables
The thirteen regions used throughout the analysis, 11 from TRANSCOM, and two additional regions for the African continent that are semi-arid (see Methods Summary).
The z score is calculated relative to the long-term seasonal mean and standard deviation of FPAR (1982–2011); see legend to Fig. 1c. The seasons DJF, MAM, JJA and SON are defined by the first letter of each month.
The full climate attribution of the global land sink simulation by the LPJ DGVM is shown in the bar graph. PDO, Pacific Decadal Oscillation.
Shown is r (on the colour scales) between climate modes and MAM (a), and JJA (b) NEE simulated by LPJ for each of the TransCom regions. FPAR correlations between climate modes are shown for MAM (c) and JJA (d). The correlations were made for 1982–2011. Blank boxes indicate correlation between −0.1 and 0.1.
a, Global temperature and precipitation anomalies from CRU TS3.21 data. The anomalies are with respect to 1979–2012 seasonal means. b, Seasonal precipitation anomalies (z score) for year 2010. c, Seasonal precipitation anomalies (z score) for year 2011. The z score for b and c is calculated relative to the long-term seasonal mean and standard deviation of precipitation (1979–2011).
Extended Data Figure 6 Spatial pattern of the contribution of precipitation to NEE exchange in 2011.
This is calculated as the difference between NPP (a) and Rh (b) with the all-climate forcing varied and NEE simulated with the precipitation climatology. This is the same as in Fig. 2c but for component fluxes of NEE.
About this article
Cite this article
Poulter, B., Frank, D., Ciais, P. et al. Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle. Nature 509, 600–603 (2014). https://doi.org/10.1038/nature13376
This article is cited by
Scientific Reports (2022)
Nature Ecology & Evolution (2022)
Communications Biology (2022)
Scientific Reports (2022)
Nature Climate Change (2022)