Future global vegetation carbon change calculated by seven global vegetation models using climate outputs and associated increasing CO2 from five GCMs run with four RCPs, expressed as the change from the 1971 — 1999 mean relative to change in global mean land temperature.
Agreement nevertheless emerges on increases in
future global vegetation carbon, with large regional increases across much of the boreal forest, western Amazonia, central Africa, western China, and southeastern Asia.
Not exact matches
With
global climate models projecting further drying over the Amazon in the
future, the potential loss of
vegetation and the associated loss of carbon storage may speed up
global climate change.
This technique lays the foundation for much improved parameterizations of climate change and
global vegetation models, which will tell what the
future holds in store.
By disentangling the
vegetation response to the
global rise of CO2 from the atmospheric (greenhouse gas) response, they were able to quantify it and found that the
vegetation actually is the dominant factor explaining
future water stress.
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?
We will now be able to measure and track Sun - induced space weather as well as
global climactic trends in ozone levels, aerosols,
vegetation, volcanic ash, and Earth reflectivity, all in high resolution; just the kind of data our civilization needs to make informed cultural, political, and scientific decisions that affect our
future.
Evaluation of the terrestrial carbon cycle,
future plant geography and climate - carbon cycle feedbacks using five Dynamic
Global Vegetation Models (DGVMs)
Seven
global vegetation models are used to analyze possible responses to
future climate simulated by a range of general circulation models run under all four representative concentration pathway scenarios of changing concentrations of greenhouse gases.
Using simulation results from five GCMs and the full range of RCPs, we have characterized the range of terrestrial
vegetation responses to
future conditions across seven different
global vegetation model formulations.
Previous modeling studies have also consistently predicted increased
global vegetation carbon under
future scenarios of climate and CO2, but with considerable variation in absolute values (2 — 4).
Therefore, it is imperative that we are capable of anticipating the potential responses of
global terrestrial
vegetation to
future changes in climate and atmospheric chemistry.
Here seven GVMs are used to investigate possible responses of
global natural terrestrial
vegetation to a major new set of
future climate and atmospheric CO2 projections generated as part of the fifth phase of the Coupled Model Intercomparison Project (CMIP5)(6), the primary climate modeling contribution to the latest Intergovernmental Panel on Climate Change assessment.