A Bayesian network approach for the identification of relationships between drivers of chlordecone bioaccumulation in plants - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Journal Articles Environmental Science and Pollution Research Year : 2020

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

Abstract

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.
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Dates and versions

hal-02623186 , version 1 (14-03-2022)

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Yohan Liber, Denis Cornet, Régis Tournebize, Cyril Feidt, Maurice Mahieu, et al.. A Bayesian network approach for the identification of relationships between drivers of chlordecone bioaccumulation in plants. Environmental Science and Pollution Research, 2020, 6 p. ⟨10.1007/s11356-019-07449-0⟩. ⟨hal-02623186⟩
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