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A Bayesian network approach for the identification of relationships between drivers of chlordecone bioaccumulation in plants
- Source :
- Environmental Science and Pollution Research, Environmental Science and Pollution Research, Springer Verlag, 2020, 6 p. ⟨10.1007/s11356-019-07449-0⟩
- Publication Year :
- 2020
-
Abstract
- International audience; 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.
- Subjects :
- [SDV.SA]Life Sciences [q-bio]/Agricultural sciences
Insecticides
Health, Toxicology and Mutagenesis
media_common.quotation_subject
West Indies
Land management
H02 - Pesticides
010501 environmental sciences
Biology
01 natural sciences
Pollution par l'agriculture
Environmental Chemistry
Soil Pollutants
Guadeloupe
Insecticide
0105 earth and related environmental sciences
media_common
West indies
Land use
Méthode statistique
Ecology
Bayesian network modeling
U10 - Informatique, mathématiques et statistiques
Bayesian network
Bayes Theorem
General Medicine
15. Life on land
Pesticide
Pollution
Bioaccumulation
Chlordecone
Gestion foncière
Identification (biology)
Habit
Chlordécone
[STAT.ME]Statistics [stat]/Methodology [stat.ME]
P02 - Pollution
Subjects
Details
- Language :
- English
- ISSN :
- 09441344 and 16147499
- Database :
- OpenAIRE
- Journal :
- Environmental Science and Pollution Research, Environmental Science and Pollution Research, Springer Verlag, 2020, 6 p. ⟨10.1007/s11356-019-07449-0⟩
- Accession number :
- edsair.doi.dedup.....c4c1fb1432c0888987beab81630589c7
- Full Text :
- https://doi.org/10.1007/s11356-019-07449-0⟩