Le Quéré, C. et al. Global carbon budget 2018. Earth Syst. Sci. Data 10, 2141–2194 (2018).
Google Scholar
Friedlingstein, P. et al. Global carbon budget 2020. Earth Syst. Sci. Data 12, 3269–3340 (2020).
Google Scholar
Rayner, P. J. et al. Interannual variability of the global carbon cycle (1992-2005) inferred by inversion of atmospheric CO2 and δ13CO2 measurements. Glob. Biogeochem. Cycles 22, 1–12 (2008).
Google Scholar
Piao, S. et al. Interannual variation of terrestrial carbon cycle: Issues and perspectives. Glob. Chang. Biol. 26, 300–318 (2020).
Google Scholar
Betts, R. A. et al. A successful prediction of the record CO2 rise associated with the 2015/2016 El Niño. Philos. Trans. R. Soc. B Biol. Sci. 373, 20170301 (2018).
Google Scholar
Keeling, C. D., Whorf, T. P., Wahlen, M. & van der Plichtt, J. Interannual extremes in the rate of rise of atmospheric carbon dioxide since 1980. Nature 375, 666–670 (1995).
Google Scholar
Cox, P. M. et al. Sensitivity of tropical carbon to climate change constrained by carbon dioxide variability. Nature 494, 341–344 (2013).
Google Scholar
Fang, Y. et al. Global land carbon sink response to temperature and precipitation varies with ENSO phase. Environ. Res. Lett. 12, 064007 (2017).
Google Scholar
Humphrey, V. et al. Soil moisture–atmosphere feedback dominates land carbon uptake variability. Nature 592, 65–69 (2021).
Google Scholar
Jung, M. et al. Compensatory water effects link yearly global land CO2 sink changes to temperature. Nature 541, 516–520 (2017).
Google Scholar
Wang, W. et al. Variations in atmospheric CO2 growth rates coupled with tropical temperature. Proc. Natl Acad. Sci. USA 110, 13061–13066 (2013).
Google Scholar
Wang, X. et al. A two-fold increase of carbon cycle sensitivity to tropical temperature variations. Nature 506, 212–215 (2014).
Google Scholar
Humphrey, V. et al. Sensitivity of atmospheric CO2 growth rate to observed changes in terrestrial water storage. Nature 560, 628–631 (2018).
Google Scholar
Marcolla, B., Rödenbeck, C. & Cescatti, A. Patterns and controls of inter-annual variability in the terrestrial carbon budget. Biogeosciences 14, 3815–3829 (2017).
Google Scholar
Yin, Y. et al. Changes in the response of the northern hemisphere carbon uptake to temperature over the last three decades. Geophys. Res. Lett. 45, 4371–4380 (2018).
Google Scholar
Rödenbeck, C., Zaehle, S., Keeling, R. & Heimann, M. How does the terrestrial carbon exchange respond to inter-annual climatic variations? A quantification based on atmospheric CO2 data. Biogeosciences 15, 2481–2498 (2018).
Google Scholar
Palmer, P. I. et al. Net carbon emissions from African biosphere dominate pan-tropical atmospheric CO2 signal. Nat. Commun. 10, 1–9 (2019).
Google Scholar
Fan, L. et al. Satellite-observed pantropical carbon dynamics. Nat. Plants 5, 944–951 (2019).
Google Scholar
Poulter, B. et al. Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle. Nature 509, 600–603 (2014).
Google Scholar
Hu, L. et al. Enhanced North American carbon uptake associated with El Niño. Sci. Adv. 5, 1–11 (2019).
Google Scholar
Liu, Z. et al. Increased high-latitude photosynthetic carbon gain offset by respiration carbon loss during an anomalous warm winter to spring transition. Glob. Chang. Biol. 26, 682–696 (2020).
Google Scholar
Reichstein, M. et al. Determinants of terrestrial ecosystem carbon balance inferred from European eddy covariance flux sites. Geophys. Res. Lett. 34, 1–5 (2007).
Google Scholar
Shiga, Y. P. et al. Forests dominate the interannual variability of the North American carbon sink. Environ. Res. Lett. 13, 084015 (2018).
Google Scholar
Wang, X., Ciais, P., Wang, Y. & Zhu, D. Divergent response of seasonally dry tropical vegetation to climatic variations in dry and wet seasons. Glob. Chang. Biol. 24, 4709–4717 (2018).
Google Scholar
Wolf, S. et al. Warm spring reduced carbon cycle impact of the 2012 US summer drought. Proc. Natl Acad. Sci. USA 113, 5880–5885 (2016).
Google Scholar
Liu, J. et al. Detecting drought impact on terrestrial biosphere carbon fluxes over contiguous US with satellite observations. Environ. Res. Lett. 13, 095003 (2018).
Google Scholar
Bastos, A. et al. Direct and seasonal legacy effects of the 2018 heat wave and drought on European ecosystem productivity. Sci. Adv. 6, eaba2724 (2020).
Google Scholar
Chevallier, F. et al. Inferring CO2 sources and sinks from satellite observations: Method and application to TOVS data. J. Geophys. Res. 110, D24309 (2005).
Google Scholar
Rödenbeck, C., Houweling, S., Gloor, M. & Heimann, M. CO2 flux history 1982-2001 inferred from atmospheric data using a global inversion of atmospheric transport. Atmos. Chem. Phys. 3, 1919–1964 (2003).
Google Scholar
Chevallier, F. et al. Objective evaluation of surface- and satellite-driven carbon dioxide atmospheric inversions. Atmos. Chem. Phys. 19, 14233–14251 (2019).
Google Scholar
Rödenbeck, C., Zaehle, S., Keeling, R. & Heimann, M. The European carbon cycle response to heat and drought as seen from atmospheric CO2 data for 1999–2018. Philos. Trans. R. Soc. B Biol. Sci. 375, 20190506 (2020).
Google Scholar
Sitch, S. et al. Recent trends and drivers of regional sources and sinks of carbon dioxide. Biogeosciences 12, 653–679 (2015).
Google Scholar
Jung, M. et al. Scaling carbon fluxes from eddy covariance sites to globe: Synthesis and evaluation of the FLUXCOM approach. Biogeosciences 17, 1343–1365 (2020).
Google Scholar
Humphrey, V. & Gudmundsson, L. GRACE-REC: a reconstruction of climate-driven water storage changes over the last century. Earth Syst. Sci. Data 11, 1153–1170 (2019).
Harris, I., Osborn, T. J., Jones, P. & Lister, D. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Sci. Data 7, 109 (2020).
Google Scholar
Zhou, S., Zhang, Y., Williams, A. P. & Gentine, P. Projected increases in intensity, frequency, and terrestrial carbon costs of compound drought and aridity events. Sci. Adv. 5, 1–9 (2019).
Google Scholar
Du, E. et al. Global patterns of terrestrial nitrogen and phosphorus limitation. Nat. Geosci. 13, 221–226 (2020).
Google Scholar
Turetsky, M. R. et al. Permafrost collapse is accelerating carbon release. Nature 569, 32–34 (2019).
Google Scholar
Li, Z. L. et al. Changes in net ecosystem exchange of CO2 in Arctic and their relationships with climate change during 2002–2017. Adv. Clim. Chang. Res. 12, 475–481 (2021).
Google Scholar
Walker, D. A. et al. The Circumpolar Arctic vegetation map. J. Veg. Sci. 16, 267–282 (2005).
Google Scholar
Virkkala, A. M. et al. Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain: Regional patterns and uncertainties. Glob. Chang. Biol. 27, 4040–4059 (2021).
Google Scholar
Randazzo, N. A. et al. Higher autumn temperatures lead to contrasting CO2 flux responses in boreal forests versus tundra and shrubland. Geophys. Res. Lett. 48, e2021GL093843 (2021).
Google Scholar
Richardson, A. D. et al. Influence of spring and autumn phenological transitions on forest ecosystem productivity. Philos. Trans. R. Soc. B Biol. Sci. 365, 3227–3246 (2010).
Google Scholar
Piao, S. et al. Weakening temperature control on the interannual variations of spring carbon uptake across northern lands. Nat. Clim. Chang. 7, 359–363 (2017).
Google Scholar
Peñuelas, J. et al. Shifting from a fertilization-dominated to a warming-dominated period. Nat. Ecol. Evol. 1, 1438–1445 (2017).
Google Scholar
Tramontana, G. et al. Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms. Biogeosciences 13, 4291–4313 (2016).
Google Scholar
Randerson, J. T., Field, C. B., Fung, I. Y. & Tans, P. P. Increases in early season ecosystem uptake explain recent changes in the seasonal cycle of atmospheric CO2 at high northern latitudes. Geophys. Res. Lett. 26, 2765–2768 (1999).
Google Scholar
Black, T. A. et al. Increased carbon sequestration by a boreal deciduous forest in years with a warm spring. Geophys. Res. Lett. 27, 1271–1274 (2000).
Google Scholar
Wang, T. et al. Emerging negative impact of warming on summer carbon uptake in northern ecosystems. Nat. Commun. 9, 1–7 (2018).
Google Scholar
Huang, M. et al. Air temperature optima of vegetation productivity across global biomes. Nat. Ecol. Evol. 3, 772–779 (2019).
Google Scholar
Seneviratne, S. I. et al. Investigating soil moisture-climate interactions in a changing climate: a review. Earth-Sci. Rev. 99, 125–161 (2010).
Google Scholar
Buermann, W. et al. Recent shift in Eurasian boreal forest greening response may be associated with warmer and drier summers. Geophys. Res. Lett. 41, 1995–2002 (2014).
Google Scholar
Fu, R. et al. Increased dry-season length over southern Amazonia in recent decades and its implication for future climate projection. Proc. Natl Acad. Sci. USA 110, 18110–18115 (2013).
Google Scholar
Chen, C. et al. Identifying critical climate periods for vegetation growth in the northern hemisphere. J. Geophys. Res. Biogeosci. 123, 2541–2552 (2018).
Google Scholar
Gloor, E. et al. Tropical land carbon cycle responses to 2015/16 El Niño as recorded by atmospheric greenhouse gas and remote sensing data. Philos. Trans. R. Soc. B Biol. Sci. 373, 20170302 (2018).
Google Scholar
Saatchi, S. et al. Detecting vulnerability of humid tropical forests to multiple stressors. One Earth 4, 988–1003 (2021).
Google Scholar
Peylin, P. et al. Global atmospheric carbon budget: results from an ensemble of atmospheric CO2 inversions. Biogeosciences 10, 6699–6720 (2013).
Google Scholar
Liu, J. et al. Carbon monitoring system flux net biosphere exchange 2020 (CMS-Flux NBE 2020). Earth Syst. Sci. Data 13, 299–330 (2021).
Google Scholar
Quetin, G. R., Bloom, A. A., Bowman, K. W. & Konings, A. G. Carbon flux variability from a relatively simple ecosystem model with assimilated data is consistent with terrestrial biosphere model estimates. J. Adv. Model. Earth Syst. 12, e2019MS001889 (2020).
Google Scholar
Schewe, J. et al. State-of-the-art global models underestimate impacts from climate extremes. Nat. Commun. 10, 1005 (2019).
Google Scholar
Gentine, P. et al. Coupling between the terrestrial carbon and water cycles – A review. Environ. Res. Lett. 14, 83003 (2019).
Google Scholar
Bastos, A. et al. Impacts of extreme summers on European ecosystems: a comparative analysis of 2003, 2010 and 2018. Philos. Trans. R. Soc. B Biol. Sci. 375, 20190507 (2020).
Google Scholar
Fan, Y., Miguez-Macho, G., Jobbágy, E. G., Jackson, R. B. & Otero-Casal, C. Hydrologic regulation of plant rooting depth. Proc. Natl Acad. Sci. USA 114, 10572–10577 (2017).
Google Scholar
Haverd, V. et al. A new version of the CABLE land surface model (Subversion revision r4601) incorporating land use and land cover change, woody vegetation demography, and a novel optimisation-based approach to plant coordination of photosynthesis. Geosci. Model Dev. 11, 2995–3026 (2018).
Google Scholar
Melton, J. R. & Arora, V. K. Competition between plant functional types in the Canadian Terrestrial Ecosystem Model (CTEM) v. 2.0. Geosci. Model Dev. 9, 323–361 (2016).
Google Scholar
Lawrence, D. M. et al. The community land model version 5: description of new features, benchmarking, and impact of forcing uncertainty. J. Adv. Model. Earth Syst. 11, 4245–4287 (2019).
Google Scholar
Tian, H. et al. North American terrestrial CO2 uptake largely offset by CH4 and N2O emissions: toward a full accounting of the greenhouse gas budget. Clim. Change 129, 413–426 (2015).
Google Scholar
Meiyappan, P., Jain, A. K. & House, J. I. Increased influence of nitrogen limitation on CO2 emissions from future land use and land use change. Glob. Biogeochem. Cycles 29, 1524–1548 (2015).
Google Scholar
Mauritsen, T. et al. Developments in the MPI‐M Earth system model version 1.2 (MPI‐ESM1.2) and its response to increasing CO2. J. Adv. Model. Earth Syst. 11, 998–1038 (2019).
Google Scholar
Poulter, B., Frank, D. C., Hodson, E. L. & 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).
Google Scholar
Lienert, S. & Joos, F. A Bayesian ensemble data assimilation to constrain model parameters and land-use carbon emissions. Biogeosciences 15, 2909–2930 (2018).
Google Scholar
Zaehle, S. & Friend, A. D. Carbon and nitrogen cycle dynamics in the O-CN land surface model: 1. Model description, site-scale evaluation, and sensitivity to parameter estimates. Glob. Biogeochem. Cycles 24, 1–13 (2010).
Goll, D. S. et al. A representation of the phosphorus cycle for ORCHIDEE (revision 4520). Geosci. Model Dev. 10, 3745–3770 (2017).
Google Scholar
Krinner, G. et al. A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system. Glob. Biogeochem. Cycles 19, 1–33 (2005).
Google Scholar
Walker, A. P. et al. The impact of alternative trait‐scaling hypotheses for the maximum photosynthetic carboxylation rate (Vcmax) on global gross primary production. N. Phytol. 215, 1370–1386 (2017).
Google Scholar
Joetzjer, E. et al. Improving the ISBACC land surface model simulation of water and carbon fluxes and stocks over the Amazon forest. Geosci. Model Dev. 8, 1709–1727 (2015).
Google Scholar
Kato, E., Kinoshita, T., Ito, A., Kawamiya, M. & Yamagata, Y. Evaluation of spatially explicit emission scenario of land-use change and biomass burning using a process-based biogeochemical model. J. Land Use Sci. 8, 104–122 (2013).
Google Scholar
Wei, Y. et al. The North American carbon program multi-scale synthesis and terrestrial model intercomparison project – Part 2: environmental driver data. Geosci. Model Dev. 7, 2875–2893 (2014).
Google Scholar
Dlugokencky, E. J., Thoning, K. W., Lang, P. M. & Tans, P. P. NOAA greenhouse gas reference from atmospheric carbon dioxide dry air mole fractions from the NOAA ESRL carbon cycle cooperative global air sampling network. ftp://aftp.cmdl.noaa.gov/data/trace_gases/co2/flask/surface/ (2017).
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