Opendata, web and dolomites


A combination of approaches from the molecular to the integrative plant level to understand the bases of stomatal responses to CO2 and their variability

Total Cost €


EC-Contrib. €






Project "STOCOVAR" data sheet

The following table provides information about the project.


Organization address
postcode: BS8 1QU

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 183˙454 €
 EC max contribution 183˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-09-01   to  2020-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY OF BRISTOL UK (BRISTOL) coordinator 183˙454.00


 Project objective

Understanding plant responses to rising atmospheric CO2 is of major interest given the necessity to select and develop new crop cultivars that will perform better in a changing global climate. By regulating the exchange of water and CO2 between the interior of the leaf and the atmosphere, stomata -the pores at the leaf surface- play a major role in CO2-mediated processes. Stomatal aperture is constantly adjusted, in response to internal cues and external environmental signals, through turgor changes of the two guard cells that surround the pore. Plants respond to elevated CO2 levels by reducing stomatal aperture, and recent advances have shed light on the intracellular machinery responsible for this response. However, little is understood about the variability in stomatal responses to CO2, both among and within species. This project will decipher the main factors responsible for variations in stomatal responses to CO2. It will specifically address the roles of ABA-signalling, photosynthesis and stomatal morphology in the response of stomatal conductance (gs) to CO2 and how this impacts on plant performance. These will be investigated from the cellular to the level of the whole plant by using the model plant Arabidopsis thaliana and major European crops. Genetic diversity will be used in different forms (mutants, association studies, inter-specific comparison) to identify the causal factors of variation. The knowledge gained into gs responses will be integrated into predictive models for water-use efficiency to scale-up to whole plant performance.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "STOCOVAR" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email ( and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "STOCOVAR" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

ToMComputations (2019)

How other minds are represented in the human brain: Neural computations underlying Theory of Mind

Read More  

lanloss (2020)

Landscapes of Loss: Mapping the Affective Experience of Deforestation Among Diverse Social Groups in the South American Chaco

Read More  

FOCUSIS (2020)

Focal volume Control Using Structured Illumination Sources

Read More