Model Overview - mpaiao/ED2 GitHub Wiki
The goal of this document is to provide the necessary information to understand how to run the ED-2.2 model and process its output. For the conceptual framework of the model, please check the scientific publications below (reverse chronological order). Additional model developments will be added to this list as new features are merged to the main ED-2.2 distribution.
Longo M, Knox RG, Medvigy DM, Levine NM, Dietze MC, Kim Y, Swann ALS, Zhang K, Rollinson CR, Bras RL et al. 2019. The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – part 1: Model description. Geosci. Model Dev 12, 4309–4346. doi:10.5194/gmd-12-4309-2019.
di Porcia e Brugnera M, Meunier F, Longo M, Moorthy S, De Deurwaerder H, Schnitzer SA, Bonal D, Faybishenko B , Verbeeck H. 2019. Modelling the impact of liana infestation on the demography and carbon cycle of tropical forests. Glob. Change Biol. 25, 3767–3780. doi:10.1111/gcb.14769.
Xu X, Medvigy D, Powers JS, Becknell JM, Guan K. 2016. Diversity in plant hydraulic traits explains seasonal and inter-annual variations of vegetation dynamics in seasonally dry tropical forests. New Phytol. 212:80–95. doi:10.1111/nph.14009.
Medvigy DM, Wofsy SC, Munger JW, Hollinger DY, Moorcroft PR. 2009. Mechanistic scaling of ecosystem function and dynamics in space and time: Ecosystem demography model version 2. J. Geophys. Res.-Biogeosci. 114:G01002. doi:10.1029/2008JG000812.
Albani M, Medvigy D, Hurtt GC, Moorcroft PR. 2006. The contributions of land-use change, CO2 fertilization, and climate variability to the eastern US carbon sink. Glob. Change Biol. 12:2370–2390. doi:10.1111/j.1365-2486.2006.01254.x.
Moorcroft PR, Hurtt GC, Pacala SW. 2001. A method for scaling vegetation dynamics: The Ecosystem Demography model (ED). Ecol. Monogr. 71(4):557–586. doi:10.1890/0012-9615(2001)071[0557:AMFSVD]2.0.CO;2.