A review on vegetation models and applicability to climate simulations at regional scale

Boksoon Myoung, Yong Sang Choi, Seon Ki Park

Research output: Contribution to journalReview articlepeer-review

5 Scopus citations

Abstract

The lack of accurate representations of biospheric components and their biophysical and biogeochemical processes is a great source of uncertainty in current climate models. The interactions between terrestrial ecosystems and the climate include exchanges not only of energy, water and momentum, but also of carbon and nitrogen. Reliable simulations of these interactions are crucial for predicting the potential impacts of future climate change and anthropogenic intervention on terrestrial ecosystems. In this paper, two biogeographical (Neilson's rule-based model and BIOME), two biogeochemical (BIOME-BGC and PnET-BGC), and three dynamic global vegetation models (Hybrid, LPJ, and MC1) were reviewed and compared in terms of their biophysical and physiological processes. The advantages and limitations of the models were also addressed. Lastly, the applications of the dynamic global vegetation models to regional climate simulations have been discussed.

Original languageEnglish
Pages (from-to)463-475
Number of pages13
JournalAsia-Pacific Journal of Atmospheric Sciences
Volume47
Issue number5
DOIs
StatePublished - Nov 2011

Keywords

  • Biogeochemical model
  • Biogeographical model
  • Climate change
  • DGVM
  • Regional climate model
  • Vegetation model

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