Toward dynamic global vegetation models for simulating vegetation–climate interactions and feedbacks: recent developments, limitations, and future challenges

Author:

Quillet Anne123,Peng Changhui123,Garneau Michelle123

Affiliation:

1. Institut des Sciences de l’Environnement, GEOTOP and Chaire DÉCLIQUE–UQAM – Hydro Québec, Université du Québec à Montréal, 201 Président-Kennedy, Montréal, QC H2X 3Y7, Canada.

2. Institut des Sciences de l’Environnement, Université du Québec à Montréal, 201 Président-Kennedy, Montréal, QC H2X 3Y7, Canada.

3. GEOTOP, Département de Géographie and Chaire DÉCLIQUE–UQAM – Hydro Québec, Université du Québec à Montréal, 201 Président-Kennedy, Montréal, QC H2X 3Y7, Canada.

Abstract

There is a lack in representation of biosphere–atmosphere interactions in current climate models. To fill this gap, one may introduce vegetation dynamics in surface transfer schemes or couple global climate models (GCMs) with vegetation dynamics models. As these vegetation dynamics models were not designed to be included in GCMs, how are the latest generation dynamic global vegetation models (DGVMs) suitable for use in global climate studies? This paper reviews the latest developments in DGVM modelling as well as the development of DGVM–GCM coupling in the framework of global climate studies. Limitations of DGVM and coupling are shown and the challenges of these methods are highlighted. During the last decade, DGVMs underwent major changes in the representation of physical and biogeochemical mechanisms such as photosynthesis and respiration processes as well as in the representation of regional properties of vegetation. However, several limitations such as carbon and nitrogen cycles, competition, land-use and land-use changes, and disturbances have been identified. In addition, recent advances in model coupling techniques allow the simulation of the vegetation–atmosphere interactions in GCMs with the help of DGVMs. Though DGVMs represent a good alternative to investigate vegetation–atmosphere interactions at a large scale, some weaknesses in evaluation methodology and model design need to be further investigated to improve the results.

Publisher

Canadian Science Publishing

Subject

General Environmental Science

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