Bryan, B. A. et al. China’s response to a national land-system sustainability emergency. Nature 559, 193–204 (2018).
Ouyang, Z. et al. Improvements in ecosystem services from investments in natural capital. Science 352, 1455–1459 (2016).
Chen, C. et al. China and India lead in greening of the world through land-use management. Nat. Sustain. 2, 122–129 (2019).
Tong, X. et al. Increased vegetation growth and carbon stock in China karst via ecological engineering. Nat. Sustain. 1, 44–50 (2018).
Lu, F. et al. Effects of national ecological restoration projects on carbon sequestration in China from 2001 to 2010. Proc. Natl Acad. Sci. USA 115, 4039 (2018).
Feng, X. et al. Revegetation in China’s Loess Plateau is approaching sustainable water resource limits. Nat. Clim. Change 6, 1019 (2016).
Jia, X., Shao, M. A., Zhu, Y. & Luo, Y. Soil moisture decline due to afforestation across the Loess Plateau, China. J. Hydrol. 546, 113–122 (2017).
Chen, Y. et al. Balancing green and grain trade. Nat. Geosci. 8, 739–741 (2015).
Tong, X. et al. Forest management in southern China generates short term extensive carbon sequestration. Nat. Commun. 11, 129 (2020).
Jackson, R. B. et al. Trading water for carbon with biological carbon sequestration. Science 310, 1944–1947 (2005).
Li, Y. et al. Divergent hydrological response to large-scale afforestation and vegetation greening in China. Sci. Adv. 4, eaar4182 (2018).
Green, J. K. et al. Regionally strong feedbacks between the atmosphere and terrestrial biosphere. Nat. Geosci. 10, 410–414 (2017).
Branch, O. & Wulfmeyer, V. Deliberate enhancement of rainfall using desert plantations. Proc. Natl Acad. Sci. USA 116, 18841–18847 (2019).
Ellison, D. et al. Trees, forests and water: cool insights for a hot world. Glob. Environ. Change 43, 51–61 (2017).
McDonnell, J. J. et al. Water sustainability and watershed storage. Nat. Sustain. 1, 378–379 (2018).
Rodell, M. et al. Emerging trends in global freshwater availability. Nature 557, 651–659 (2018).
Mirzabaev, A. et al. in IPCC Special Report on Climate Change and Land (eds Akhtar-Schuster, M., Driouech, F. & Sankaran, M.) Ch. 3 (IPCC, Cambridge Univ. Press, 2019).
Rodell, M., Velicogna, I. & Famiglietti, J. S. Satellite-based estimates of groundwater depletion in India. Nature 460, 999–1002 (2009).
Scanlon, B. R. et al. Global models underestimate large decadal declining and rising water storage trends relative to GRACE satellite data. Proc. Natl Acad. Sci. USA 115, E1080 (2018).
Tapley, B. D., Bettadpur, S., Ries, J. C., Thompson, P. F. & Watkins, M. M. GRACE Measurements of Mass Variability in the Earth System. Science 305, 503–505 (2004).
Tapley, B. D. et al. Contributions of GRACE to understanding climate change. Nat. Clim. Change 9, 358–369 (2019).
Tian, H. et al. Response of vegetation activity dynamic to climatic change and ecological restoration programs in Inner Mongolia from 2000 to 2012. Ecol. Eng. 82, 276–289 (2015).
Zhang, Z. & Huisingh, D. Combating desertification in China: monitoring, control, management and revegetation. J. Clean. Prod. 182, 765–775 (2018).
Huang, Y., Wang, N.-a, He, T., Chen, H. & Zhao, L. Historical desertification of the Mu Us Desert, Northern China: A multidisciplinary study. Geomorphology 110, 108–117 (2009).
Xu, D. Y., Kang, X. W., Zhuang, D. F. & Pan, J. J. Multi-scale quantitative assessment of the relative roles of climate change and human activities in desertification–a case study of the Ordos Plateau, China. J. Arid Environ. 74, 498–507 (2010).
Yan, F., Wu, B. & Wang, Y. Estimating spatiotemporal patterns of aboveground biomass using Landsat TM and MODIS images in the Mu Us Sandy Land, China. Agric. For. Meteorol. 200, 119–128 (2015).
Li, S. et al. Vegetation changes in recent large-scale ecological restoration projects and subsequent impact on water resources in China’s Loess Plateau. Sci. Total Environ. 569–570, 1032–1039 (2016).
Xu, Z. et al. Recent greening (1981–2013) in the Mu Us dune field, north-central China, and its potential causes. Land Degrad. Dev. 29, 1509–1520 (2018).
Poulter, B. et al. Plant functional type classification for earth system models: results from the European Space Agency’s Land Cover Climate Change Initiative. Geosci. Model Dev. 8, 2315–2328 (2015).
Xu, Z., Mason, J. A. & Lu, H. Vegetated dune morphodynamics during recent stabilization of the Mu Us dune field, north-central China. Geomorphology 228, 486–503 (2015).
Review of the Kubuqi Ecological Restoration Project: A Desert Green Economy Pilot Initiative (United Nations Environment Programme, 2015).
Cheng, D.-h et al. Estimation of groundwater evaportranspiration using diurnal water table fluctuations in the Mu Us Desert, northern China. J. Hydrol. 490, 106–113 (2013).
Yu, X., Huang, Y., Li, E., Li, X. & Guo, W. Effects of rainfall and vegetation to soil water input and output processes in the Mu Us Sandy Land, northwest China. CATENA 161, 96–103 (2018).
Li, Q. et al. Feasibility of the combination of CO2 Geological storage and saline water development in sedimentary basins of China. Energy Proc. 37, 4511–4517 (2013).
Xie, X., Xu, C., Wen, Y. & Li, W. Monitoring groundwater storage changes in the Loess Plateau using GRACE satellite gravity data, hydrological models and coal mining data. Remote Sens. 10, 605 (2018).
Griffin-Nolan, R. J. et al. Legacy effects of a regional drought on aboveground net primary production in six central US grasslands. Plant Ecol. 219, 505–515 (2018).
Poulter, B. et al. Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle. Nature 509, 600–603 (2014).
Ahlström, A. et al. The dominant role of semi-arid ecosystems in the trend and variability of the land CO2 sink. Science 348, 895–899 (2015).
Cho, S., Ser-Oddamba, B., Batkhuu, N.-O. & Seok Kim, H. Comparison of water use efficiency and biomass production in 10-year-old Populus sibirica and Ulmus pumila plantations in Lun soum, Mongolia. For. Sci. Technol. 15, 147–158 (2019).
Swenson, S. C. & Lawrence, D. M. A GRACE-based assessment of interannual groundwater dynamics in the Community Land Model. Water Resour. Res. 51, 8817–8833 (2015).
Guo, J., Huang, G., Wang, X., Li, Y. & Lin, Q. Investigating future precipitation changes over China through a high-resolution regional climate model ensemble. Earth’s Future 5, 285–303 (2017).
Gong, T., Lei, H., Yang, D., Jiao, Y. & Yang, H. Monitoring the variations of evapotranspiration due to land use/cover change in a semiarid shrubland. Hydrol. Earth Syst. Sci. 21, 863–877 (2017).
Feng, W. et al. Evaluation of groundwater depletion in North China using the Gravity Recovery and Climate Experiment (GRACE) data and ground-based measurements. Water Resour. Res. 49, 2110–2118 (2013).
Famiglietti, J. S. Satellites measure recent rates of groundwater depletion in California’s Central Valley. Geophys. Res. Lett. 38, L03403 (2011).
Wang, J. et al. Recent global decline in endorheic basin water storages. Nat. Geosci. 11, 926–932 (2018).
Chen, X. et al. Detecting significant decreasing trends of land surface soil moisture in eastern China during the past three decades (1979–2010). J. Geophys. Res. Atmos. 121, 5177–5192 (2016).
Peng, D. & Zhou, T. Why was the arid and semiarid northwest China getting wetter in the recent decades? J. Geophys. Res. Atmos. 122, 9060–9075 (2017).
Grassi, G. et al. The key role of forests in meeting climate targets requires science for credible mitigation. Nat. Clim. Change 7, 220–226 (2017).
Griscom, B. W. et al. Natural climate solutions. Proc. Natl Acad. Sci. USA 114, 11645 (2017).
Bastin, J.-F. et al. The global tree restoration potential. Science 365, 76–79 (2019).
Watkins, M. M., Wiese, D. N., Yuan, D.-N., Boening, C. & Landerer, F. W. Improved methods for observing Earth’s time variable mass distribution with GRACE using spherical cap mascons. J. Geophys. Res. Solid Earth 120, 2648–2671 (2015).
Wiese, D. N., Landerer, F. W. & Watkins, M. M. Quantifying and reducing leakage errors in the JPL RL05M GRACE mascon solution. Water Resour. Res. 52, 7490–7502 (2016).
Myneni, R. B., Hall, F. G., Sellers, P. J. & Marshak, A. L. The interpretation of spectral vegetation indexes. IEEE Trans. Geosci. Remote Sens. 33, 481–486 (1995).
Glenn, E. P., Huete, A. R., Nagler, P. L., Hirschboeck, K. K. & Brown, P. Integrating remote sensing and ground methods to estimate evapotranspiration. Crit. Rev. Plant Sci. 26, 139–168 (2007).
Pinzon, J. & Tucker, C. A non-stationary 1981–2012 AVHRR NDVI3g time series. Remote Sens. 6, 6929–6960 (2014).
Fan, X. & Liu, Y. Multisensor normalized difference vegetation index intercalibration: A comprehensive overview of the causes of and solutions for multisensor differences. IEEE Geosci. Remote Sens. Mag. 6, 23–45 (2018).
Huffman, G. J. et al. The TRMM multisatellite precipitation analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. J. Hydrometeorol. 8, 38–55 (2007).
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).
Zhou, Y., Shi, C., Du, J. & Fan, X. Characteristics and causes of changes in annual runoff of the Wuding River in 1956–2009. Environ. Earth Sci. 69, 225–234 (2013).
Rodell, M. Basin scale estimates of evapotranspiration using GRACE and other observations. Geophys. Res. Lett. 31, L20504 (2004).
Gerten, D., Schaphoff, S., Haberlandt, U., Lucht, W. & Sitch, S. Terrestrial vegetation and water balance—hydrological evaluation of a dynamic global vegetation model. J. Hydrol. 286, 249–270 (2004).
Smith, B. et al. Implications of incorporating N cycling and N limitations on primary production in an individual-based dynamic vegetation model. Biogeosciences 11, 2027–2054 (2014).
Haxeltine, A. & Prentice, I. C. BIOME3: An equilibrium terrestrial biosphere model based on ecophysiological constraints, resource availability, and competition among plant functional types. Glob. Biogeochem. Cycles 10, 693–709 (1996).
Prestele, R. et al. Current challenges of implementing anthropogenic land-use and land-cover change in models contributing to climate change assessments. Earth Syst. Dyn. 8, 369–386 (2017).
Piao, S. et al. Lower land-use emissions responsible for increased net land carbon sink during the slow warming period. Nat. Geosci. 11, 739–743 (2018).
Tian, H. et al. The Global N2O Model Intercomparison Project. Bull. Am. Meteorol. Soc. 99, 1231–1251 (2018).
Etheridge, D. M. et al. Natural and anthropogenic changes in atmospheric CO2 over the last 1000 years from air in Antarctic ice and firn. J. Geophys. Res. Atmos. 101, 4115–4128 (1996).
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).
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