Recent multi model estimates based on different CMIP3 climate scenarios and different
dynamic global vegetation models predict a moderate risk of tropical forest reduction in South America and even lower risk for African and Asian tropical forests (see also Section 12.5.5.6)(Gumpenberger et al., 2010; Huntingford et al., 2013).»
Two of these key fields, namely climate envelope modelling (also called niche - based, or bioclimatic modelling) and
dynamic global vegetation modelling have provided numerous recent results.
Global response of terrestrial ecosystem structure and function to CO2 and climate change: results from six
dynamic global vegetation models.
These interannual leaf variations are typically represented within
the dynamic global vegetation model of a climate model.
Extrapolated to global scale, these are termed
Dynamic Global Vegetation Models (DGVMs, see Glossary).
The response of atmospheric CO2 and climate to the reconstructed variability in solar irradiance and radiative forcing by volcanoes over the last millennium is examined by applying a coupled physical — biogeochemical climate model that includes the Lund - Potsdam - Jena
dynamic global vegetation model (LPJ - DGVM) and a simplified analogue of a coupled atmosphere — ocean general circulation model.
Beginning in the 1990s, a handful of
dynamic global vegetation models (DGVMs) have been developed, using parameterizations for many of the processes mentioned above.
Evaluation of the terrestrial carbon cycle, future plant geography and climate - carbon cycle feedbacks using five
Dynamic Global Vegetation Models (DGVMs)
A dynamic global vegetation model for studies of the coupled atmosphere - biosphere system.
Peter Cox is the originator / author of the Triffid
dynamic global vegetation model which was used to predict dieback of the Amazonian rain forest by 2050 and as a consequence a strong positive climate - carbon cycle feedback (i.e., an acceleration of global warming) with a resultant increase in global mean surface temperature by 8 deg.
Is there any chance of getting a guest contribution summarizing the state of
Dynamic Global Vegetation Models and how they might be incorporated in future GCMs?
Sitch, S., et al., 2003: Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ
dynamic global vegetation model.
Cox, P., 2001: Description of the «TRIFFID»
Dynamic Global Vegetation Model.
Not exact matches
To this end, they used
global dynamic vegetation computer simulations.
Thirdly, Earth system models have begun to incorporate more realistic and
dynamic vegetation components, which quantify positive and negative biotic feedbacks by coupling a
dynamic biosphere to atmospheric circulations with a focus on the
global carbon cycle (Friedlingstein et al., 2003, 2006; Cox et al., 2004, 2006).
The
global Human — Earth System framework we propose, and represent schematically in Fig. 6, combines not only data collection, analysis techniques, and Dynamic Modeling, but also Data Assimilation, to bidirectionally couple an ESM containing subsystems for Global Atmosphere, Land (including both Land — Vegetation and Land - Use models) and Ocean and Ice, to a Human System Model with subsystems for Population Demographics, Water, Energy, Agriculture, Industry, Construction, and Transport
global Human — Earth System framework we propose, and represent schematically in Fig. 6, combines not only data collection, analysis techniques, and
Dynamic Modeling, but also Data Assimilation, to bidirectionally couple an ESM containing subsystems for
Global Atmosphere, Land (including both Land — Vegetation and Land - Use models) and Ocean and Ice, to a Human System Model with subsystems for Population Demographics, Water, Energy, Agriculture, Industry, Construction, and Transport
Global Atmosphere, Land (including both Land —
Vegetation and Land - Use models) and Ocean and Ice, to a Human System Model with subsystems for Population Demographics, Water, Energy, Agriculture, Industry, Construction, and Transportation.