ABSTRACT: The natural productivity of ecosystems, farming practices and mortality events drive the rearing density and growth of oysters in shellfish farming areas. The variability of these drivers, which can be of natural or anthropic origin, is therefore an important source of variation in the growth performance and production of shellfish. Knowledge of these variabilities and their relative importance help producers to anticipate their effects and adapt aquaculture practices in order to limit negative impacts and guarantee a constant, or at least acceptable, level of production. In this paper, we implement a 3D model coupling hydrodynamics, primary production and individual growth to predict oyster growth and production in Bourgneuf Bay (French Atlantic coast). We set up numerous scenarios to compare and hierarchize the impacts of aquaculture practices, environmental variability and mortality events on shellfish production. Our results allowed us to propose a simplified management tool, in the form of response functions, to optimize shellfish farming practices interannually. This tool will help shellfish farmers quickly recover production levels in response to variations in mortality and/or environmental conditions.

中文翻译：

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生态系统建模以评估养殖密度、环境变化和死亡率对牡蛎生产的影响

摘要：生态系统的自然生产力、养殖方式和死亡事件推动了贝类养殖区牡蛎的养殖密度和生长。这些驱动因素的可变性，可以是自然或人为的，因此是贝类生长性能和产量变化的重要来源。了解这些变化及其相对重要性有助于生产者预测其影响并调整水产养殖实践，以限制负面影响并保证稳定的或至少可接受的生产水平。在本文中，我们实施了一个耦合流体动力学、初级生产和个体生长的 3D 模型，以预测 Bourgneuf 湾（法国大西洋沿岸）的牡蛎生长和生产。我们设置了许多情景来比较和分级分析水产养殖实践、环境变异和死亡事件对贝类生产的影响。我们的结果使我们能够以响应函数的形式提出一种简化的管理工具，以逐年优化贝类养殖实践。该工具将帮助贝类养殖者快速恢复生产水平，以应对死亡率和/或环境条件的变化。