Sentences with phrase «mean vegetation carbon»

(A — C) Change in annual global mean vegetation carbon (A), NPP (B), and residence time of carbon in vegetation (C) under the HadGEM2 - ES RCP 8.5 climate and CO2 scenario for seven global vegetation models.

Not exact matches

This means that more carbon is accumulating in forests and other vegetation and soils in the Northern Hemisphere during the summer, and more carbon is being released in the fall and winter, says study lead scientist Heather Graven of SIO.

Clearing land means chopping down forests and ploughing grasslands — and that releases carbon stored in soil and vegetation.

The climate sensitivity classically defined is the response of global mean temperature to a forcing once all the «fast feedbacks» have occurred (atmospheric temperatures, clouds, water vapour, winds, snow, sea ice etc.), but before any of the «slow» feedbacks have kicked in (ice sheets, vegetation, carbon cycle etc.).

The climate sensitivity classically defined is the response of global mean temperature to a forcing once all the «fast feedbacks» have occurred (atmospheric temperatures, clouds, water vapour, winds, snow, sea ice etc.), but before any of the «slow» feedbacks have kicked in (ice sheets, vegetation, carbon cycle etc.).

More generally, increased vegetation cover lowers albedo, meaning that more of the sun's light is absorbed which in turn warms the climate locally (another positive feedback), as well as increasing evapotranspiration and carbon uptake.

Although photosynthesis is an effective means of producing food, wood products, and carbon stored in vegetation, it is an inefficient means of converting the energy in the sun's rays into a form of non-food energy useable by people.

More trees means more carbon dioxide soaked up in vegetation rather than in the air, at least for a time.

So far, the Arctic is considered a carbon sink, meaning it absorbs more CO2 than it emits on an annual basis, thanks mainly to the vegetation that grows in the summer.

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.

For example, at 4 °C of global land surface warming (510 — 758 ppm of CO2), vegetation carbon increases by 52 — 477 Pg C (224 Pg C mean), mainly due to CO2 fertilization of photosynthesis.

«Most Earth system models don't predict this, which means they overestimate the amount of carbon that high - latitude vegetation will store in the future,» he adds.

Change in mean - decadal vegetation carbon, annual NPP, and vegetation carbon residence time simulated by seven GVMs under HadGEM2 - ES RCP 8.5 forcings between A.D. 2005 and 2099.

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.

Lead - lag correlation between variations in annual mean total water storage, total vegetation carbon, and annual fire season length over the Northern US and the Southern US / Mexico regions in the control simulation.

Decadal climate prediction of annual mean variations in total water storage (left), vegetation carbon (center), and fire season length (right panels) over the Northern US.

A warmer climate is likely to mean that vegetation and soils would become a net source rather than a sink of carbon, leading to a positive feedback (warmer soils mean more CO2 and methane, more greenhouse gases mean warmer soils, and so on).

First, maximum effort must be made to draw down atmospheric carbon, through some combination of massive reforestation and other soil / vegetation and perhaps artificial means.