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 Institut Sophia Agrobiotech Logo Marque Etat - République Française Logo_INRAE_noir Logo Université Côte d'Azur CNRS

Institut Sophia Agrobiotech

Institut Sophia Agrobiotech

UMR INRA - Univ. Nice Sophia Antipolis - Cnrs

Models and Methods for Plant Protection

The team aims at making plant protection more respectful of the environment through the development of innovative ecological pest management strategies. For that purpose, the team develops an interdisciplinary research program based on the concerted use of theoretical models and experiments to address specific issues from the individual to populations and agroecosystems.

Upper row, left to right: pepper plant for biocontrol assay with predatory mites, population dynamics (top) and a basic sterile insect technique (SIT) model with  impulsive releases (bottom), plant-nematode dynamical model scheme (top), european corn borer imago (bottom), four-way olfactomer developed in the team, fluid dynamics simulation (top), experimental assay with parasitoid wasps (path highlighted, bottom). Lower row, left to right : predatory mite  on textile fibers (colours inverted), the marginal value theorem when environmental quality changes, movement of parasitoid wasps in the double spiral experimental apparatus, parasitoid wasp Trichogramma cacoeciae.


Plant protection must shift to more environmentally friendly and sustainable methods. This shift requires the gradual abandoning of phytopharmaceutical chemicals, the design of more resilient agroecosystems taking advantage of natural feedbacks, and the development of ecological pest management programs. Achieving this ambition requires a better understanding of the ecological and evolutionary processes at work within agroecosystems, encompassing the biotic-abiotic interface.

In this context, the team develops theoretical models and experiments, from individuals to populations, to unravel agroecosystems functioning and improve existing or infer new plant protection methods. Key research questions include: the behavior and population dynamics of arthropod pest-natural enemy systems, the epidemiology of plant pathogens and the management of plant resistance, as well as the optimization of biocontrol strategies.

M2P2 has close collaborations with other ISA teams on shared research topics: biological control and population introductions with BPI and RDLB, nematode population dynamics with IPN. M2P2 is also tightly linked to Inria (centre at Université Côte d'Azur) through the joint team Biocore for the modelling aspect of its research.


Understanding and exploiting multitrophic interactions 

  • Behavioral ecology of parasitoids - modelling, experiments.
  • Population dynamics: optimization of biocontrol deployment strategies, new biocontrol strategies, sterile insect technique - modelling, experiments. 
  • Epidemiology of plant diseases, plant resistance management - modelling.

Predicting and controling the adaptation of populations

  • Virulence evolution in plant pathogens and parasites - modelling.
  • Evolution of parasitoids (movement and response to organic volatiles) - modelling, experiments.


Modelling and computer sciences

  • Dynamical systems (ordinary differential equations, recurrent equations, hybrid systems, stochastic models, etc.).
  • Computer simulations (large scale dynamical systems, individual based models, etc.).
  • Control and optimization theory (optimal control theory, calculs of variations, etc.).
  • Statistics (hypothesis testing, statistical modelling, sensitivity analysis, etc.).
  • Computer vision, digital image treatment.


  • Lab scale studies of insect behavior.
  • Lab scale experimental evolution of insects.
  • Population dynamics of arthropods in microcosms, meso-cosms, and at the agroecosystem scale.


Plant pests and diseases: plant-pathogenic nematodes, fruit flies, corn borers, phytophagous mites, above- and below-ground plant diseases.

Natural enemies: trichogramma sp., predatory mites.