Articles | Volume 15, issue 12
https://doi.org/10.5194/gmd-15-4783-2022
https://doi.org/10.5194/gmd-15-4783-2022
Development and technical paper
 | 
21 Jun 2022
Development and technical paper |  | 21 Jun 2022

Using terrestrial laser scanning to constrain forest ecosystem structure and functions in the Ecosystem Demography model (ED2.2)

Félicien Meunier, Sruthi M. Krishna Moorthy, Marc Peaucelle, Kim Calders, Louise Terryn, Wim Verbruggen, Chang Liu, Ninni Saarinen, Niall Origo, Joanne Nightingale, Mathias Disney, Yadvinder Malhi, and Hans Verbeeck

Data sets

Data associated to the paper "Using terrestrial laser scanning to constrain forest ecosystem structure and functions in the Ecosystem Demography model (ED2.2)" Félicien Meunier https://doi.org/10.5281/zenodo.6363617

Model code and software

Ecosystem Demography Model, version 2.2 (ED-2.2) Marcos Longo, Ryan Knox, David Michael Medvigy, Naomi Marcil Levine, Michael Dietze, Abigail L. S. Swann, Ke Zhang, Christine Rollinson, Manfredo di Porcia e Brugnera, Daniel Scott, Shawn P. Serbin, Rob Kooper, Afshin Pourmokhtarian, Alexey Shiklomanov, Toni Viskari, and Paul Moorcroft https://doi.org/10.5281/zenodo.3365659

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Short summary
We integrated state-of-the-art observations of the structure of the vegetation in a temperate forest to constrain a vegetation model that aims to reproduce such an ecosystem in silico. We showed that the use of this information helps to constrain the model structure, its critical parameters, as well as its initial state. This research confirms the critical importance of the representation of the vegetation structure in vegetation models and proposes a method to overcome this challenge.