Toute l'équipe de Dynafor est heureuse de recevoir votre visite sur son site. Vous trouverez ici de nombreuses informations sur nos activités. N'hésitez pas pour autant à nous contacter directement pour plus d'information et nouer des relations. Dynafor est une unité mixte de recherche (UMR) interdisciplinaire dont l'objectif est de générer des connaissances sur les représentations, le fonctionnement écologique, la gestion et la gouvernance des paysages agriforestiers afin de contribuer à la mise en place de pratiques agroécologiques et sylvoécologiques durables. Dynafor associe des chercheurs de 2 départements chez INRAE (ACT et ECODIV), des enseignants chercheurs de l'ENSAT (Ecole Nationale d'Agronomie de Toulouse) ainsi que des enseignants chercheurs de l’École d'ingénieurs de PURPAN.

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A real-world implementation of a nationwide, long-term, monitoring program to assess the impact of agrochemicals and agricultural practices on biodiversity

Andrade C, Villers A, Balent G, et al. (2020). Ecology and Evolution. 1–23

 

https://doi.org/10.1002/ece3.6459

 

Abstract : Biodiversity has undergone a major decline throughout recent decades, particularly in farmland. Agricultural practices are recognized to be an important pressure on farmland biodiversity, and pesticides are suspected to be one of the main causes of this decline in biodiversity. As part of the national plan for reduction of pesticides use (Ecophyto), the French ministry of agriculture launched the 500 ENI (non intended effects) monitoring program in 2012 in order to assess the unintended effects of agricultural practices, including pesticide use, on biodiversity represented by several taxonomic groups of interest for farmers. This long-term program monitors the biodiversity of nontargeted species (earthworms, plants, coleoptera, and birds), together with a wide range of annual data on agricultural practices (crop rotation, soil tillage, weed control, fertilizers, chemical treatments, etc.). Other parameters (e.g., landscape and climatic characteristics) are also integrated as covariates during the analyses. This monitoring program is expected to improve our understanding of the relative contribution of the different drivers of population and community trends.

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