Supplementary dataset for "Rising CO2 and warming reduce global canopy demand for nitrogen"
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This repository contains the dataset used for “<strong>Rising CO<sub>2</sub> and warming reduce global canopy demand for nitrogen” </strong> The deposition consists of: An satellite-derived leaf chlorophyll vcmax25 database (Luo<em> et al.</em>, 2019) Simulated <em>V<sub>cmax</sub></em> with all the factors based on the coordination hypothesis Simulated <em>V<sub>cmax </sub></em>with CO<sub>2</sub> fixed at 340 ppm based on the coordination hypothesis Simulated <em>V<sub>cmax</sub> </em>with fixed climate based on the coordination hypothesis Simulated turnover time. Simulated leaf-level <em>N</em><sub>rubisco</sub> (g m<sup>–2</sup> leaf area), canopy-level <em>N<sub>rubisco</sub></em> (g m<sup>–2</sup> ground area), annual leaf-level <em>N<sub>rubisco</sub></em>demand (g m<sup>–2</sup> leaf area year<sup>–1</sup>), and annual canopy-level of <em>N<sub>rubisco</sub></em> demand (g m<sup>–2</sup> ground area year<sup>–1</sup>) in figure 4. Lifespan of evergreen Note. LAI products used in the paper , such as TCDR LAI during 1982–2016; GLASS LAI during 1982–2014; and GLOBMAP LAI during 1982–2011 are public available, the details information see Jiang <em>et al </em>(2017). Evergreen, deciduous and herbaceous vegetation fractions data derived from ESA CCI land cover products is publicly available, the details information see Li <em>et al </em>(2018). The climate force for <em>V<sub>cmax </sub></em>simulation was used CRU TS4.3 (Harris <em>et al,</em> 2020) for 1982–2016 at 0.5° resolution, which is publicly available at https://crudata.uea.ac.uk/cru/data/hrg/. The data files are all in netcdf format at 0.5 resolution Reference: <strong>Luo X, Croft H, Chen JM, He L, Keenan TF. 2019.</strong> Improved estimates of global terrestrial photosynthesis using information on leaf chlorophyll content. <em>Global Change Biology</em> <strong>25</strong>(7): 2499-2514. <strong>Jiang C, Ryu Y, Fang H, Myneni R, Claverie M, Zhu Z. 2017.</strong> Inconsistencies of interannual variability and trends in long-term satellite leaf area index products. <em>Global Change Biology</em> <strong>23</strong>(10): 4133-4146. <strong>Li W, MacBean N, Ciais P, Defourny P, Lamarche C, Bontemps S, Houghton RA, Peng S. 2018.</strong> Gross and net land cover changes in the main plant functional types derived from the annual ESA CCI land cover maps (1992–2015). <em>Earth Syst. Sci. Data</em> <strong>10</strong>(1): 219-234. <strong>Harris I, Osborn TJ, Jones P, Lister D. 2020.</strong> Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. <em>Scientific Data</em> <strong>7</strong>(1): 109.



