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 UB AgroSup CNRS

Home

INCITE

INCITE
Integrated Response of Plant, Microbial and N Cycling Interactions to Precipitation Patterns (INCITE)
Marie Curie Career Integration Grant
PI: Romain Barnard
Context

Changes in precipitation patterns, including more intense drought periods and extreme precipitation events, have been documented globally in recent decades, and are predicted to carry on. In order to adapt management policies to climatic changes, it is urgent to evaluate the consequences of these change on ecosystems, and this strongly relies on the improvement of our functional understanding of the response of the plant-soil systems to altered precipitation patterns.

Objectives

INCITE aims to improve the functional understanding of the response of the plant-soil systems to altered precipitation patterns.

The overarching goal of the present project is to understand the temporal and spatial couplings between i) precipitation patterns, ii) the structure and activity of the soil microbial community, with a particular emphasis on soil nitrogen cycling, and iii) plant water and nitrogen uptake, and how these couplings affect the stability of ecosystem functions.

Approach

Using a multidisciplinary approach in a plant-soil system under controlled conditions, the project documents the response of plant-soil microbial interactions to large vs. small amplitude precipitation patterns using plant physiology, molecular microbiology and biogeochemistry methods. Next generation sequencing of soil microbial communities as well as stable isotope approaches provide cutting edge approaches to allow a mechanistic understanding of the experimental system.

Wheat plants growing in our custom-made plexiglass rhizotrons.

Wheat plants growing in our custom-made plexiglas rhizotrons (photo Amy Welty-Bernard).

Results

A first experiment implemented the novel 18O stable isotope probing method, that allows to distinguish the microbial community that is actively growing when dry soil is rewet. Soil depth, rather than precipitation pattern, was most influential in shaping microbial response to rewetting, and had differential effects on active and inactive bacterial and fungal communities. Our results suggest that differences in fungal and bacterial abundance and relative activity could result in large effects on subsequent soil biogeochemical cycling. The second experiment focused on monitoring soil nitrogen cycling as well as the active soil microbial community over time after a rewetting event, in plant-soil systems that had experienced contrasted precipitation pattern and nitrogen availability conditions. The results indicate that precipitation regime legacy sets the scene for the response of the plant-soil system to rewetting, not only for the bacterial and fungal communities, but also for plant-soil carbon coupling as well as soil N cycling.

People

Romain Barnard, PI

Ilonka Engelhard, Ph.D. student

Contact

romain.barnard@inra.fr