FACE2FACE - Effects from climate change, adaptions and greenhouse gas reduction [funded by LOEWE] - Status: closed

Project staff:


Dipl. Geogr. Wolfgang Obermeier
Prof. Dr. Jörg Bendix

Abstract:

Rising atmospheric greenhouse gas concentrations from anthropogenic activities are a major driver of global climate change. The increase in atmospheric carbon dioxide (CO2) concentrations may stimulate plant photosynthesis. As a consequence of this enhanced photosynthesis, an increase in the net primary productivity (NPP) of C3 plants (termed CO2 fertilization) is widely assumed. This process is assumed to be associated with a reduced stomatal conductance of leaves as the carbon demand of photosynthesis is met earlier. This causes a higher water-use efficiency and, hence, may reduce water stress in plants exposed to higher CO2 concentrations. However, the magnitude and persistence of the CO2 fertilization effect under a future climate including more frequent weather extremes remains controversial.

In the "Giessener Free Air Carbon dioxide Enrichment” (GiFACE) experiment, plots of a temperate grassland receive an CO2 enriched air (~ 20% higher than ambient conditions) since 1998. This allows to analyse the CO2 fertilization effect under naturally occurring climate variations and over long term which enables the derivation of statistical models about climate change consequences.  

 

 Aerial photograph of the GiFACE facility (copyright C. Wißmer 2013)FACE construction to enrich the air with elevated CO2



Description:

Inititally, we develop a statistical approach which enables the analysis of the CO2 effect dependent on the interacting effects of ambient abiotic factors (e.g. hot and dry weather conditions)

Moreover, we conduct hyperspectral measurements for the noninvasive monitoring of above-ground vegetation parameters. Thus, the influences of an increased CO2 (and/or temperature for new FACE facility) on production/ecophysiology of the plants is derived. The derived parameters can be used for projecting changes in vegetation and their characteristics with e.g. dynamic models. Moreover, the field measurements in combination with the laboratory results enable the derivation of transferfunctions (e.g. Narrow-Band Analysis, PLS regression) with parameters of production and ecophysiologiy (e.g. for biodiversity, biomass, leaf area index, chlorophyll, nitrogen, phosphorus, potassium). Once derived, the transfer functions will be upscaled to multi- and hyperspectral remote sensors (satellites), enabling the analysis of the aboveground plant characteristics from space.

 

Further infos: https://www.uni-giessen.de/fbz/fb08/Inst/pflanzenoek/face2face

Datawarehouse: http://face2face.center



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