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- Publisher
- Springer Journals
- Copyright
- 2011 Korean Meteorological Society and Springer Netherlands
- ISSN
- 1976-7633
- eISSN
- 1976-7951
- DOI
- 10.1007/s13143-011-0031-x
- Publisher site
- See Article on Publisher Site
Abstract
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.
Journal
"Asia-Pacific Journal of Atmospheric Sciences" – Springer Journals
Published: Nov 1, 2011