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A Bayesian network approach for the identification of relationships between drivers of chlordecone bioaccumulation in plants

Liber Y., Cornet D., Tournebize R., Feidt C., Mahieu M., Laurent F., Bedell J.P.. 2020. Environmental Science and Pollution Research, 27 : p. 41046-41051.

Plants were sampled from four different types of chlordecone-contaminated land in Guadeloupe (West Indies). The objective was to investigate the importance of biological and agri-environmental parameters in the ability of plants to bioaccumulate chlordecone. Among the plant traits studied, only the growth habit significantly affected chlordecone transfer, since prostrate plants concentrated more chlordecone than erect plants. In addition, intensification of land use has led to a significant increase in the amount of chlordecone absorbed by plants. The use of Bayesian networks uncovers some hypothesis and identifies paths for reflection and possible studies to identify and quantify relationships that explain our data.

Mots-clés : méthode statistique; pollution par l'agriculture; insecticide; bioaccumulation; gestion foncière; chlordécone; guadeloupe

Thématique : Pollution; Protection des végétaux - Considérations générales; Informatique, mathématiques et statistiques

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