Not exact matches
«Most climate models that incorporate
vegetation are built on short - term observations, for example of photosynthesis, but they are used to
predict long - term events,» said Bond - Lamberty, who works at the Joint Global
Change Research Institute, a collaboration between PNNL and the University of Maryland in College Park, Md. «We need to understand forests in the long term, but forests change slowly and researchers don't live that long.&
Change Research Institute, a collaboration between PNNL and the University of Maryland
in College Park, Md. «We need to understand forests
in the long term, but forests
change slowly and researchers don't live that long.&
change slowly and researchers don't live that long.»
Complex as they may be, the activities and effects of consumers should be incorporated into global
vegetation models
in order to accurately
predict the likely consequences of global
change.
Given the inverse relationship observed between their values, it has been possible to determine the additional area of
vegetation needed (
in this case of green roofs) necessary to reduce the temperature by the same amount as it is
predicted to rise
in different climate
change models for Seville.
«Our finding that
vegetation plays a key role future
in terrestrial hydrologic response and water stress is of utmost importance to properly
predict future dryness and water resources,» says Gentine, whose research focuses on the relationship between hydrology and atmospheric science, land / atmosphere interaction, and its impact on climate
change.
Changes in ocean chemistry, which can be described through the Revelle buffer factor [1], limit oceanic removal of CO2 [2], while the potential for terrestrial
vegetation to take up CO2 is also
predicted by some models to fall as the climate warms [3], although the size of this feedback is uncertain [4].
In addition, Earth system models
predict carbon loss by placing
vegetation at a given point, and then
changing various climate properties above it.
Now a new study
in Nature Climate
Change predicts that
vegetation cover
in the Arctic could expand by over 50 percent by 2050.
In short there are difficult to
predict volcano eruptions, varying ocean circulation, clouds and more clouds, a varying sun (both TSI and larger frequency deltas),
changing vegetation albedo, atmospheric albedo including 03, earth's position and orientation and more including cosmic rays.