@article{fdi:010060445,
  title = {{A}n agent-based modeling framework for integrated pest management dissemination programs},
  author = {{R}ebaudo, {F}ran{\c{c}}ois and {D}angles, {O}livier},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he study of how people acquire and diffuse information among heterogeneous populations has a rich history in the social sciences. {H}owever, few approaches have been developed to better understand how information diffusion patterns and processes affect resource management in complex socio-ecological systems. {T}his is a timely issue for crop protection diffusion programs, which have a larger place than ever on the international policy agenda due to the growing number of challenges related to controlling agricultural pests. {T}o assess the impact of heterogeneous farmer behaviors (receptivity toward {IPM} practices) and types of information diffusion (either active or passive) on the success of integrated pest management ({IPM}) programs, we developed a socio-ecological model coupling a pest model (population growth and dispersion) with a farmer behavioral model (pest control and diffusion of pest management practices). {T}he main objective of the model was to provide insights to explore effective {IPM} information diffusion strategies at the farmer community level. {O}ur simulations revealed 1) that passive {IPM} information diffusion among agents seemed to be more effective to control pests over the community of agents than active diffusion and 2) that increasing levels of agent heterogeneity would significantly slow down pest control dynamics at the community level, but to a lower extent in the case of passive {IPM} information diffusion. {O}ur findings therefore suggest that {IPM} diffusion programs should focus their efforts in developing methods to create purposefully the conditions for social learning as a deliberate pest control mechanism, while taking into account potential limitations related to the commonly reported farmer heterogeneity. {O}ur study further stresses the need to develop a comprehensive and empirically based framework for linking the social and ecological disciplines across space and time in agricultural system management. {W}hile we specifically focus on pest infestation levels and {IPM} information diffusion strategies in this study, our approach to understand information diffusion within heterogeneous human populations in interaction with environmental features would be applicable to a much wider range of both social and resource management issues.},
  keywords = {{A}gent-based model ; {S}ocio-ecological systems ; {P}est control ; {F}armers ; {I}nformation diffusion ; {B}ehavioral heterogeneity},
  booktitle = {},
  journal = {{E}nvironmental {M}odelling and {S}oftware},
  volume = {45},
  numero = {},
  pages = {141--149},
  ISSN = {1364-8152},
  year = {2013},
  DOI = {10.1016/j.envsoft.2012.06.014},
  URL = {https://www.documentation.ird.fr/hor/fdi:010060445},
}