Know more

Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free: https://www.ghostery.com/fr/products/

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site: http://www.youronlinechoices.com/fr/controler-ses-cookies/, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

Cookie type

Means of blocking

Analytical and performance cookies

Realytics
Google Analytics
Spoteffects
Optimizely

Targeted advertising cookies

DoubleClick
Mediarithmics

The following types of cookies may be used on our websites:

Mandatory cookies

Functional cookies

Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at cil-dpo@inra.fr or by post at:

INRA
24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

Menu Logo Principal AgroParisTech

Welcome to ECOSYS

UMR ECOSYS - Ecologie fonctionnelle et écotoxicologie des agroécosystèmes

2015-2018 COV3ER

2015-2018 COV3ER
Biogenic volatile organic compounds (BVOC) emissions by managed ecosystems : new references over French crops and forest and management effects

Volatile organic compounds are essentials drivers of atmospheric chemistry and precursors of pollutants that constitute a threat for human health and the environment: ozone (O3) and secondary organic aerosols (SOA) (Chameides & Davis, 1980; Andreae & Crutzen, 1997). Most VOC are biogenic (BVOC), and are not exhaustively quantified. In particular, managed ecosystems which represent up to 50% of land use in Europe, represent the largest potential emitter of BVOC. It is estimated that 55% of the emissions come from forest, 27% from agriculture and 18% from other land use (grasslands and wetlands) (Karl et al., 2009). Current estimates however do not account satisfactorily for emissions linked with agricultural practices due to a lack of data: slurry management, emissions from litter, pesticides.

In this project we will set up a new direct method able to measure the fluxes of the vast majority of BVOC from a panel of managed ecosystem in France: crops and managed forests. We will also measure emission from agricultural practices identified as major BVOC and SVOC (semi volatile) emitters and in particular field slurry application and litter decomposition. Additional measurements will be performed to establish the links between BVOC fluxes and ecosystem functioning. This will allow extrapolating our results and evaluate emission potential of BVOC by these ecosystems.

To reach our objectives we will set up an eddy covariance (EC) method for measuring BVOC fluxes, using a state of the art PTR-TOF-MS (Time of flight Proton Transfer Mass Spectrometer) instrument. The sensitivity and acquisition frequency of this instrument indeed allow EC flux measurement for a large spectrum of BVOC. This instrument and complementary GC-MS (gas chormatography) measurements will also be used to measure BVOC fluxes in each compartment of the ecosystem and from slurry and litter in the laboratory.

Although the PTR-TOF-MS measures a large number of compounds, it is not an exhaustive measurement.  Hence, we will set up an indirect validation method by measuring the OH reactivity of the atmosphere which by comparison with the measured BVOC determines whether there are missing compounds in the balance.