Enhanced peak growth of global vegetation and its key mechanisms

Abstract

The annual peak growth of vegetation is critical in characterizing the capacity of terrestrial ecosystem productivity and shaping the seasonality of atmospheric CO2 concentrations. The recent greening of global lands suggests an increasing trend of terrestrial vegetation growth, but whether or not the peak growth has been globally enhanced still remains unclear. Here, we use two global datasets of gross primary productivity (GPP) and a satellite-derived Normalized Difference Vegetation Index (NDVI) to characterize recent changes in annual peak vegetation growth (that is, GPPmax and NDVImax). We demonstrate that the peak in the growth of global vegetation has been linearly increasing during the past three decades. About 65% of the NDVImax variation is evenly explained by expanding croplands (21%), rising CO2 (22%) and intensifying nitrogen deposition (22%). The contribution of expanding croplands to the peak growth trend is substantiated by measurements from eddy-flux towers, sun-induced chlorophyll fluorescence and a global database of plant traits, all of which demonstrate that croplands have a higher photosynthetic capacity than other vegetation types. The large contribution of CO2 is also supported by a meta-analysis of 466 manipulative experiments and 15 terrestrial biosphere models. Furthermore, we show that the contribution of GPPmax to the change in annual GPP is less in the tropics than in other regions. These multiple lines of evidence reveal an increasing trend in the peak growth of global vegetation. The findings highlight the important roles of agricultural intensification and atmospheric changes in reshaping the seasonality of global vegetation growth.

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Fig. 1: Enhanced monthly vegetation growth peak.
Fig. 2: Attribution of peak monthly vegetation growth (NDVImax).
Fig. 3: Higher photosynthetic capacity of croplands.
Fig. 4: Attribution of peak GPP trends (GPPmax) using factorial simulations of the ensemble mean of models with (+nitrogen) and without (−nitrogen) a coupled carbon–nitrogen cycle.
Fig. 5: Correlation of MTE GPPmax with annual GPP.
Fig. 6: Relationship between measured NPP and GPP.

Data availability

The MTE GPP datasets are available at https://www.bgc-jena.mpg.de/geodb/projects/Home.php. The Advanced Very High Resolution Radiometer GIMMS-NDVI3g datasets are available at https://ecocast.arc.nasa.gov/data/pub/gimms/3g.v0. The GOME-2 SIF datasets are available at https://avdc.gsfc.nasa.gov/pub/data/satellite/MetOp/GOME_F. The MODIS EVI data are available from the NASA Land Processes Distributed Active Archive Center at https://lpdaac.usgs.gov. The in situ GPP observations are available from FLUXNET2015 at http://fluxnet.fluxdata.org/data/fluxnet2015-dataset/. The Vcmax data are available from the TRY database15 at http://www.try-db.org. The CRU TS 3.23 climate datasets are available from the CRU (https://crudata.uea.ac.uk/cru/data/hrg/). The shortwave radiation datasets are available from the Terrestrial Hydrology Research Group at http://hydrology.princeton.edu/data/pgf/v2/0.5deg/monthly/. The MsTMIP modelling results are available at https://nacp.ornl.gov/mstmipdata/.

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Acknowledgements

This work was financially supported by the National Key R&D Program of China (2017YFA0604603), National Natural Science Foundation (31430015, 41601099 and 41630528) and National 1000 Young Talents Program of China. We thank all the people who worked to provide data for this study, particularly the MsTMIP modelling group. We are grateful for receiving MTE GPP products from MPI-BGC, biweekly NDVI data from the GIMMS team, MODIS EVI products from USGS, climate-forcing data from CRU and Princeton University, CO2 site data from NOAA, and GOME-2 SIF retrievals from Eumetsat. We further thank the TRY initiative for plant traits (http://www.try-db.org). The TRY initiative and database are hosted, developed and maintained by J. Kattge and G. Bönisch (MPI-BGC). The eddy-covariance data of FLUXNET used in this study were mainly acquired by the following networks: AmeriFlux, GHG-Europe, SOERE, FORE-T, the Fluxnet-Canada Research Network (supported by CFCAS, NSERC, BIOCAP, Environment Canada and NRCan), GreenGrass, KoFlux, LBA, NECC, OzFlux, TCOS-Siberia and USCCC. The vector map data were made using Natural Earth. J.B.F. contributed to this paper from the Jet Propulsion Laboratory, California Institute of Technology, under a contract with NASA, and support was provided by the IDS programme.

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J.X. designed the study. K.H. performed the analysis. J.X. and K.H. wrote the first draft. Y.L., Y.Wang, A.A., J.C., E.C., Z.L., J.W., Y.Q., X.X., L.Y. and C.B. contributed to the idea development. C.S., D.N.H., R.B.C., Y.F., J.B.F., A.M.M., K.S. and Y.Wei provided the modelling results. All authors interpreted the results and revised the manuscript.

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Correspondence to Jianyang Xia.

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Supplementary Information

Supplementary Figures 1–15, Supplementary Tables 1–2 and Supplementary References

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Supplementary Data 1

Eddy covariance flux tower data from 125 flux sites (including forest, grassland and cropland) across the globe

Supplementary Data 2

Database of 466 studies identified in a meta-analysis that investigate the response of plant growth under warming, nitrogen addition and elevated levels of CO2

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Huang, K., Xia, J., Wang, Y. et al. Enhanced peak growth of global vegetation and its key mechanisms. Nat Ecol Evol 2, 1897–1905 (2018). https://doi.org/10.1038/s41559-018-0714-0

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