Know more

About cookies

What is a "cookie"?

A "cookie" is a piece of information, usually small and identified by a name, which may be sent to your browser by a website you are visiting. Your web browser will store it for a period of time, and send it back to the web server each time you log on again.

Different types of cookies are placed on the sites:

  • Cookies strictly necessary for the proper functioning of the site
  • Cookies deposited by third party sites to improve the interactivity of the site, to collect statistics

Learn more about cookies and how they work

The different types of cookies used on this site

Cookies strictly necessary for the site to function

These cookies allow the main services of the site to function optimally. You can technically block them using your browser settings but your experience on the site may be degraded.

Furthermore, you have the possibility of opposing the use of audience measurement tracers strictly necessary for the functioning and current administration of the website in the cookie management window accessible via the link located in the footer of the site.

Technical cookies

Name of the cookie


Shelf life

CAS and PHP session cookies

Login credentials, session security



Saving your cookie consent choices

12 months

Audience measurement cookies (AT Internet)

Name of the cookie


Shelf life


Trace the visitor's route in order to establish visit statistics.

13 months


Store the anonymous ID of the visitor who starts the first time he visits the site

13 months


Identify the numbers (unique identifiers of a site) seen by the visitor and store the visitor's identifiers.

13 months

About the AT Internet audience measurement tool :

AT Internet's audience measurement tool Analytics is deployed on this site in order to obtain information on visitors' navigation and to improve its use.

The French data protection authority (CNIL) has granted an exemption to AT Internet's Web Analytics cookie. This tool is thus exempt from the collection of the Internet user's consent with regard to the deposit of analytics cookies. However, you can refuse the deposit of these cookies via the cookie management panel.

Good to know:

  • The data collected are not cross-checked with other processing operations
  • The deposited cookie is only used to produce anonymous statistics
  • The cookie does not allow the user's navigation on other sites to be tracked.

Third party cookies to improve the interactivity of the site

This site relies on certain services provided by third parties which allow :

  • to offer interactive content;
  • improve usability and facilitate the sharing of content on social networks;
  • view videos and animated presentations directly on our website;
  • protect form entries from robots;
  • monitor the performance of the site.

These third parties will collect and use your browsing data for their own purposes.

How to accept or reject cookies

When you start browsing an eZpublish site, the appearance of the "cookies" banner allows you to accept or refuse all the cookies we use. This banner will be displayed as long as you have not made a choice, even if you are browsing on another page of the site.

You can change your choices at any time by clicking on the "Cookie Management" link.

You can manage these cookies in your browser. Here are the procedures to follow: Firefox; Chrome; Explorer; Safari; Opera

For more information about the cookies we use, you can contact INRAE's Data Protection Officer by email at or by post at :


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

Last update: May 2021

Menu Logo Principal UMR BAGAP Institut agro Rennes Angers Logo ESA

BAGAP research unit

The EMMA project


Multi-habitat model species and land planning




In European landscapes, the implementation of ecological network policies aims to improve the way in which biodiversity is integrated into land planning processes by reinforcing and extending existing protected zones to include areas which harbour more common forms of biodiversity.

In the Pays de la Loire region, the regional network highlights the importance of maintaining networks of hedgerows with their associated grasslands and ponds (known as “bocage” in France). In such mosaic landscapes, the definition of ecological continuity requires a detailed description of landscape structure (grassland, crop, woodland, hedge, pond, infrastructure, urban areas) as well as the influence of human activities. It is also important to identify appropriate biological models that will be sensitive to this structure. Amphibians, as “multihabitat” organisms could be suitable indicators.


We aim to propose suitable methods for describing landscape structure in mosaic landscapes and to test the relevance of the amphibian group as an indicator.

The models produced will be used to assess already-defined ecological networks, as well as implementation processes, using different regional ecological network case studies.

How ?

We are using different data sets (81,000 opportunistic data and 3,237 standardized data from 576 sites monitored in the context of a citizen science program) to establish and assess habitat suitability at regional scale for 9 species of amphibian commonly occurring in western France.

Additional fieldwork has been carried out to complete landscape gradients and areas covered by the citizen science datasets.

In terms of methodology, we are comparing different species distribution modelling approaches while trying to limit sampling bias inherent in citizen science datasets.

We will define ecological continuities for different species and establish multi-species maps through stacking of several species distribution models at regional scale.

In parallel, we are exploiting better quality amphibian and habitat data at pond and pond network scales in order to explore the relationships between landscape structure and permeability and amphibian communities at the finer scale.

Expected results

The final aim will be to produce maps of ecological continuity integrating both species distribution modelling approaches and spatial analysis of ecological connectivity, at varying spatial scales. We will examine how such maps could be used to improve conservation planning advice and will compare the priority areas we define to those currently protected by ecological network policy in France.

The main outcome of the study will be Florence Matutini’s doctoral thesis and associated publications.

With whom ?

This work is carried out in collaboration with local parties involved in citizen science programmes in Pays de la Loire and aims to utilise data collected by nature conservation organisations and volunteers.

Our main nature protection partners are CPIE and LPO and their volunteer networks.


Matutini, F., Baudry, J., Pain, G., Sineau, M. and Pithon, J. (2021) How citizen science could improve Species Distribution Models and their independent assessment. Ecology and Evolution, 11: 3028–3039.

Matutini, F., Baudry, J., Fortin, M.-J., Pain, G., Pithon, J. (2021) Integrating landscape resistance and multi-scale predictors of habitat selection for amphibian distribution modelling at large scale. Landscape Ecology, 36: 3557–3573.

Matutini, F. 2021. Conserver la biodiversité des régions fortement anthropisées : mobiliser différentes sources de données pour définir et compléter les réseaux écologiques. Cas des Amphibiens en Pays-de-la-Loire. Thèse de doctorat AGROCAMPUS OUEST, Ecole doctorale Ecologie, Géosciences, Agronomie et Alimentation Spécialité : Ecologie et Evolution. 217p.

BAGAP staff invovled

Florence Matutini, Jacques Baudry, Josephine Pithon & Guillaume Pain


  • Morgane SINEAU (CPIE Vallées de la Sarthe et du Loir)
  • Benoit MARCHADOUR (Coordination régionale LPO Pays de la Loire)


  • Angers Loire Metropole
  • Bourse écologie impliquée de la SFE2 (Société Française d’Ecologie et d’Evolution)