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Communication Dans Un Congrès Année : 2018

A biology-based model to analyze growth data of earthworms exposed to copper at different development stages

Résumé

Assessing effects of a contamination on populations require getting data on the whole life cycle and accounting for differences of sensitivity throughout this life cycle. Copper contamination is one of the greatest concerns in agricultural soils, especially in vineyards. This contamination may have negative effects on soil fauna, such as earthworms, which are recognized as ecosystem engineers providing very valuable ecosystemic services. To assess effects of copper on earthworm populations, we tested the impact of a commercial formulation of copper fungicide, i.e., Cuprafor Micro® (50% copper oxychloride), on different endpoints, including growth, for the earthworm species Aporrectodea caliginosa, one of the dominant earthworm species in agricultural fields. We performed original tests assessing the impact of copper on the growth at 3 different development stages with many times of measurements: new hatchling individuals (10-15 mg), small juveniles (90-110 mg) and large juveniles (260-340 mg). To analyze simultaneously all the data, we developed and used a biology-based model. This model is based on the DEB (Dynamic Energy Budgets) theory. A DEB model was set up and validated under controlled conditions, using different food conditions. The growth data were then analyzed with a toxicokinetics model (accounting for the influence of growth and differences between development stages) coupled with a DEB-based toxicodynamic model. Our results showed a drastic inhibition of growth once a No Effect Concentration, estimated at 65 mg kg-1 of copper for all stages, was exceeded. The time-profile of the effects was fully accounted for by the model. In conclusion, our model provided a relevant analysis of the toxicity data and provided understanding of the mechanisms of copper toxicity to earthworm growth, throughout development. The next step of our research will be to combine our biology-based model and reproduction data in a dynamic population model.
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Dates et versions

hal-01804597 , version 1 (31-05-2023)

Identifiants

  • HAL Id : hal-01804597 , version 1
  • PRODINRA : 420673

Citer

Sylvain Bart, Joël Amossé, Christian Mougin, Alexandre R.R. Pery, Céline Pelosi. A biology-based model to analyze growth data of earthworms exposed to copper at different development stages. SETAC Europe 28th Annual Meeting, May 2018, Rome, Italy. ⟨hal-01804597⟩
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