Abstract Studying adverse effects of chemical pressure on aquatic ecosystems needs a comprehensive knowledge of bioaccumulation mechanisms of pollutants in biota to predict internal concentrations, especially for Persistent Organic Pollutants (POPs). However, the large variability of responses in measured POP concentrations requires explicit consideration of both individual variability and environmental influences. Dynamic Energy Budget (DEB) theory provides a rigorous and generic conceptual framework for tackling these questions in a relevant mechanistic way. In the present study, parameterisation and calibration of previous DEB models for Solea solea were revisited in order to accurately represent the full life cycle with an original emphasis on larval stage, metamorphosis, reproduction rules and sexual differences. We first improved calibration thanks to the use of the estimation procedure developed by the DEB network coupled with a broad compilation of data from literature. Then, we validated this set of parameter estimates on independent datasets of i) individual monitoring of larval growth in controlled food conditions from a novel experiment, and ii) juvenile and adult growth, and female fecundity, from a natural population. Finally, we combined the DEB model developed in the present paper with we used a simple toxicokinetic (TK) model from literature. This TK model was also combined to a previous DEB model and was used to reproduce the mean trajectories of a growth and contamination dataset. We applied the same TK model with our DEB model considering inter-individual variability in food availability. This application highlighted the need to accurately consider inter-individual variability in ingestion to correctly estimate growth and contamination variability. The present work is the first step in the development of a mechanistic TK model that will be used in a companion paper for investigations of juvenile sole sensitivity to warming, nursery quality and prey contamination, in highly fluctuating estuarine environments.

中文翻译：

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全球变化背景下常见唯一 Solea solea 中持久性有机污染物的膳食生物积累。第 1 部分：重新审视 DEB 模型的参数化和校准，以考虑实验和自然条件下的个体差异。

摘要 研究化学压力对水生生态系统的不利影响需要全面了解生物群中污染物的生物累积机制，以预测内部浓度，尤其是持久性有机污染物 (POPs)。然而，测量的持久性有机污染物浓度响应的巨大可变性需要明确考虑个体可变性和环境影响。动态能量收支 (DEB) 理论为以相关的机械方式解决这些问题提供了严格和通用的概念框架。在目前的研究中，重新审视了以前针对 Solea solea 的 DEB 模型的参数化和校准，以准确地代表整个生命周期，最初强调幼虫阶段、变态、繁殖规则和性别差异。由于使用了由 DEB 网络开发的估计程序以及广泛的文献数据汇编，我们首先改进了校准。然后，我们在以下独立数据集上验证了这组参数估计值：i) 来自新实验的受控食物条件下幼虫生长的个体监测，以及 ii) 来自自然种群的幼虫和成虫生长以及雌性繁殖力。最后，我们将本文开发的 DEB 模型与文献中使用的简单毒代动力学 (TK) 模型相结合。该 TK 模型还与之前的 DEB 模型相结合，用于重现生长和污染数据集的平均轨迹。考虑到食物供应的个体差异，我们将相同的 TK 模型与我们的 DEB 模型一起应用。该应用强调需要准确考虑摄入的个体差异，以正确估计生长和污染变异。目前的工作是开发机械 TK 模型的第一步，该模型将用于配套论文中，用于在高度波动的河口环境中调查幼鱼对变暖、育苗质量和猎物污染的敏感性。