Global maximum carboxylation rate trait scaling in the Sheffield Dynamic Global Vegetation Model 1901-2012

Author(s): Walker A; MacBean N; Quaife T; van Bodegom P; Viovy N; Yang X; Xu C


Dataset Information

Site ID: XX-PTr

Site Name: Pantropical site

Variables: Model output

Date Range: Jan. 1, 1901 - Dec. 31, 2012

Description: Model output data and climate input data associated with the New Phytologist publication: Walker, A.P., Quaife, T., van Bodegom, P.M., De Kauwe, M.G., Keenan, T.F., Joiner, J., Lomas, M.R., MacBean, N., Xu, C., Yang, X., Woodward, F.I., 2017. The impact of alternative trait-scaling hypotheses for the maximum photosynthetic carboxylation rate (Vcmax) on global gross primary production. New Phytologist 215, 1370–1386. https://doi.org/10.1111/nph.14623. This dataset contains maximum carboxylation rate at 25 ºC (Vcmax,25), Gross Primary Production (GPP), Net Biome Production (NBP), vegetation carbon and soil carbon data from SDGVM for multiple trait-scaling methods for scaling Vcmax,25 across Earth, and alternative instantaneous temperature scaling functions. Vcmax,25 values are mean top-leaf values taken during the growing seasons, which were defined as periods during which leaf area index (LAI) was greater than one. Vcmax,25 values were reported prior to scaling of Vcmax by water-stress or leaf-age. The attached metadata file (SDGVM_vcmax_dataset.docx) describes the methods used and explains the organization of data within the included .tar file.

QA/QC: Full QA-QC

QA/QC Method: Data published in associated publication. QA/QC of model code and outputs to ensure correct implementation of trait-scaling hypotheses in the model. The model simulations were run using the CRU-NCEP meteorological dataset 1901-2012 (Le Quéré et al., 2014). PFT distributions were assumed static throughout the whole simulation period and were derived from land cover (LC) maps provided by the ESA CCI project (www.esa-landcover-cci.org). The PFT fractions were derived from the LC maps using the LC to PFT conversion described in Poulter et al., (2015), and adjusted to account for the separation of C3 and C4 species that cannot be detected using MERIS wavebands (Poulter et al., 2015). The resultant PFT maps were then further categorised according to the SDGVM PFT classification. See further methods details in the attached metadata file "SDGVM_vcmax_dataset"

Access Level: Public

Originating Institution(s): ORNL

Sponsor Organization(s): DOE, UK National Centre for Earth Observation

Contact: Walker, Anthony - Oak Ridge National Lab (walkerap@ornl.gov)


Data Download

Version: 1.0

Dataset Citation: Walker A; MacBean N; Quaife T; van Bodegom P; Viovy N; Yang X; Xu C (2019): Global maximum carboxylation rate trait scaling in the Sheffield Dynamic Global Vegetation Model 1901-2012. 1.0. NGEE Tropics Data Collection. (dataset). http://dx.doi.org/10.15486/ngt/1569265

Acknowledgement: Funding for NGEE-Tropics data resources was provided by the U.S. Department of Energy Office of Science, Office of Biological and Environmental Research.

Data Link: Download Dataset

NGEE Tropics data policy.


Reference:

Walker A; MacBean N; Quaife T; van Bodegom P; Viovy N; Yang X; Xu C (2019): Global maximum carboxylation rate trait scaling in the Sheffield Dynamic Global Vegetation Model 1901-2012. 1.0. NGEE Tropics Data Collection. (dataset). http://dx.doi.org/10.15486/ngt/1569265