IPM Assessment and Methodology
Activity leader:
Jean-Noël AUBERTOT (INRA): Jean-Noel.Aubertot@toulouse.inra.fr - 33 (0)5 61 28 50 21
Objectives:
The general objective of this research activity is to provide a common methodological framework and adapted tools and to help design and assess IPM solutions in regard to their agronomic, environmental and socio-economic performances.These methods will be implemented for application cases of the various cropping systems.
The following specific objectives are derived:
1) To provide a support for harmonisation within the overall project and to help share common tools and methods;
2) To adapt DEXiPM, a pivotal multi-criteria assessment tool for ex-ante and ex-post assessment of IPM solutions, to the farming systems studied in PURE;
3) To explore the capacities of novel model-related tools and approaches to address problems of IPM design in the timeframe of PURE and in the near future;
4) To develop and adapt methods to perform cost-benefit analyses in the timeframe of the project.
Approach:
The approach adopted in this research activity will rely on various modelling techniques, data and expertise management. Three types of activities will be conducted: First, methodological studies will be conducted. Second, generic methodological studies will be conducted to help design and assess the performances of IPM solutions. Third, it is necessary to monitor the methodological breakthroughs achieved within the various activities of PURE in order to make them available for other activity, and/or to enhance their generic properties. Due to its methodological positioning, sound functioning of this activity will rely on strong interactions with other activities. Regular exchanges between all the cropping systems and research activitieswill occur to ensure harmonisation, and, as much as possible, a generic stance.
Description of Deliverables:
Collaborative modelling platform: Universal Simulator
Developing a collaborative platform to help develop models working at the field scale aimed at designing and evaluating IPM solutions
ALREADY AVAILABLE ON THE WEBSITE IN PUBLICATIONS SECTION
Report on various optimization methods for the design of IPM solutions
Multicriteria optimisation methods (such as evolutionary algorithms) that allow exploring highly dimensional solution spaces in a reasonable computation time
Real-time model-based optimization, where the problem is to optimize on-line pest control decisions based on measurements and on crop and pest simulation models.
Coupling of optimisation methods like Markov-Decision-Processes and crop and pest simulation models to address the spatial dimension of IPM and to help design collective IPM solutions.
AVAILABLE IN FEBRUARY 2015
Report on the modelling of multiple pests
Providing multiple-pest action thresholds, as well as at the strategic level such as by identifying adequate IPM solutions to face scenarios of changes in climate, crops, cropping practices and pests.
AVAILABLE IN FEBRUARY 2015
Report on socio-economic chain risk approach to help design IPM solutions
Knowledge from innovative IPM pomefruit systems will be used to define the stages within a chain, e.g. stages of production and delivery.
AVAILABLE IN FEBRUARY 2015
GIS based model approach to assess environmental risk and risk to human health risk on regional level
This model analyses environmental performances of IPM solutions on field, farm and landscape level under region specific environmental scenarios
AVAILABLE IN FEBRUARY 2015
Final versions of DEXiPM assessment tool
DEXiPM will thus be adapted to all farming systems of PURE and will constitute the basis for calculating ex-ante and ex-post effects of alternative systems at the level of individual crops
AVAILABLE IN FEBRUARY 2015