Articles | Volume 15, issue 5
Geosci. Model Dev., 15, 1971–1994, 2022
https://doi.org/10.5194/gmd-15-1971-2022
Geosci. Model Dev., 15, 1971–1994, 2022
https://doi.org/10.5194/gmd-15-1971-2022
Model evaluation paper
09 Mar 2022
Model evaluation paper | 09 Mar 2022

Global evaluation of the Ecosystem Demography model (ED v3.0)

Lei Ma et al.

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Cited articles

Abramowitz, G.: Towards a public, standardized, diagnostic benchmarking system for land surface models, Geosci. Model Dev., 5, 819–827, https://doi.org/10.5194/gmd-5-819-2012, 2012. 
Albani, M., Medvigy, D., Hurtt, G. C., and Moorcroft, P. R.: The contributions of land-use change, CO2 fertilization, and climate variability to the Eastern US carbon sink, Global Change Biology, 12, 2370–2390, https://doi.org/10.1111/j.1365-2486.2006.01254.x, 2006. 
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Ball, J. T., Woodrow, I. E., and Berry, J. A.: A model predicting stomatal conductance and its contribution to the control of photosynthesis under different environmental conditions, in: Progress in photosynthesis research, https://doi.org/10.1007/978-94-017-0519-6_48, Springer, 221–224, 1987. 
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Short summary
We present a global version of the Ecosystem Demography (ED) model which can track vegetation 3-D structure and scale up ecological processes from individual vegetation to ecosystem scale. Model evaluation against multiple benchmarking datasets demonstrated the model’s capability to simulate global vegetation dynamics across a range of temporal and spatial scales. With this version, ED has the potential to be linked with remote sensing observations to address key scientific questions.