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

Dataset ·
DOI:https://doi.org/10.15486/ngt/1569265· OSTI ID:1569265
 [1]; ; ; ; ;  [2];  [3]
  1. Oak Ridge National Laboratory; Lawrence Berkeley National Lab
  2. Oak Ridge National Laboratory
  3. Los Alamos National Laboratory
This data package contains 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 Sheffield Dynamic Global Vegetation Model (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 .zip file. This metadata file is also included in PDF format.
Research Organization:
Next-Generation Ecosystem Experiments Tropics; Oakridge National Laboratory
Sponsoring Organization:
UK National Centre for Earth Observation
OSTI ID:
1569265
Report Number(s):
NGT0114
Country of Publication:
United States
Language:
English