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:

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:, 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

Google Analytics

Targeted advertising cookies


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 or by post at:

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

Dernière mise à jour : Mai 2018

Menu Logo Principal UMR BAGAP Temporary logo for l'institut Agro / Agrocampus Ouest Logo ESA

BAGAP research unit



Combining hedgerows and organic farming at different spatial scales, a lever for conserving plant diversity and managing weeds in bocage landscapes ? 


  • 2020-2022
  • Coordinateur : UMR BAGAP
  • Contact BAGAP : Audrey Alignier
  • Thèmes de recherche BAGAP : Biodiversity conservation
  • Mots clés : hedgerow, weed, organic farming, landscape, functional approach


Why? (Context and Issues / Objectives)

Agri-environmental transition desired under recent agri-environmental policies tends to lead agricultural systems towards more environmentally friendly practices. At the local scale, studies showed that the extension of agricultural practices, in particular the abandonment of synthetic inputs in organic farming (OF), promotes the diversity and abundance of weeds. In addition, semi-natural elements directly adjacent to cultivated areas, such as hedgerows, are generally perceived as sources of weeds increasing the diversity and abundance of uncultivated flora around the crop fields. At the landscape scale, the extension of agricultural practices is rarely considered. The general objective of the DIVERSIT'HAIES project is to assess the relative effect of the presence of hedgerows and the extensification of agricultural practices (organic vs. conventional farming, OF vs. OC) at different spatial scales on weeds, in order to optimize the trade-off between biodiversity conservation and weed management.



The project is structured into 2 parts. The first aims to evaluate the effect of hedgerows combined with organic farming, at the local scale (i.e. presence vs. absence of hedgerows bordering crop fields, crop field in OC vs. OF) and at the landscape scale (i.e. density of the hedgerow network and percentage of fields in OF) on the diversity (taxonomic and functional) and abundance of plant communities within crop fields and within hedgerows. The second part consists in implementing a new experimental protocol to measure the flux of seeds from the hedgerows towards the crop fields and vice versa, in order to compare the strength of the “source” vs. “barrier” effects of the hedgerows on weeds.


Expected results

For which Results? (Expected Results ou Results and Perspectives, selon l’avancement
du projet)

The results of the DIVERSIT’HAIES project will help to fill a knowledge gap on the effect of hedgerows combined with organic farming on weeds, which plays a fundamental role in the functioning of agroecosystems. They will make it possible to identify the best option(s) to limit the abundance of weeds while promoting plant diversity (taxonomic but also functional), in order to optimize the agroecological potential of bocage landscapes, with a view to sustainable agriculture.

BAGAP staff involved


  • CNRS – Université de Rennes 1 UMR ECOBIO