http://onlinelibrary.wiley.com/doi/10.1002/2015JD024202/abstract

The impact of geoengineering on vegetation in experiment G1 of the
Geoengineering Model Intercomparison Project (GeoMIP)

Susanne Glienke*, Peter J. Irvine and Mark G. Lawrence
DOI: 10.1002/2015JD024202

doi: 10.1002/2015JD024202

Keywords:
climate engineering;vegetation;earth system models;NPP;carbon cycle

Abstract
Solar Radiation Management (SRM) has been proposed as a means to partly
counteract global warming. The Geoengineering Model Intercomparison Project
(GeoMIP) has simulated the climate consequences of a number of SRM
techniques. Thus far, the effects on vegetation have not yet been
thoroughly analyzed. Here, the vegetation response to the idealized GeoMIP
G1 experiment from eight fully coupled earth system models (ESMs) is
analyzed, in which a reduction of the solar constant counterbalances the
radiative effects of quadrupled atmospheric CO2 concentrations
(abrupt4xCO2). For most models and regions, changes in net primary
productivity (NPP) are dominated by the increase in CO2, via the CO2
fertilization effect. As SRM will reduce temperatures relative to
abrupt4xCO2, in high latitudes this will offset increases in NPP. In low
latitudes, this cooling relative to the abrupt4xCO2 simulation decreases
plant respiration while having little effect on gross primary productivity,
thus increasing NPP. In Central America and the Mediterranean, generally
dry regions which are expected to experience increased water stress with
global warming, NPP is highest in the G1 experiment for all models due to
the easing of water limitations from increased water-use efficiency at
high-CO2 concentrations and the reduced evaporative demand in a
geoengineered climate. The largest differences in the vegetation response
are between models with and without a nitrogen-cycle, with a much smaller
CO2 fertilization effect for the former. These results suggest that until
key vegetation processes are integrated into ESM predictions, the
vegetation response to SRM will remain highly uncertain.

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