The substantial filtration capacity of freshwater mussels makes them attractive tools for environmental management. In this study, we applied a central composite design to estimate independent variables and establish optimal conditions of filtration rate and faeces production that enhance filtration of suspended organic matter by the freshwater mussel Sinanodonta woodiana. The results indicated that statistical design methodology offers an efficient and feasible approach for identifying optimal conditions for high filtration and low faeces production, using just a small number (30) of individuals. The proposed model equation takes into account the quantitative effect of variables and also the influence of interactions among variables on mussel filtration rate. Under the optimal experimental conditions (mussel size, 13.0 ± 0.2 cm; flow rate, 17.5 L/h), the experimental filtration rate of 4.47 ± 1.82 L/mussel/h showed a degree of correspondence with the predicted value of 8.4 L/mussel/h, which verified the practicability of this optimum strategy. Our findings contribute to our understanding of the context‐specific ecosystem engineering provided by mussels in natural systems, and also provides a framework for optimizing conditions for the applied use of mussels as biological filters.

23In this study, we applied a central composite design to estimate independent variables and 24 establish optimal conditions of filtration rate and feces production that enhance filtration of 25 suspended organic matter by the freshwater mussels Sinanodonta woodiana. The results 26indicated that statistical design methodology offers an efficient and feasible approach for high 27 filtration and low feces production condition optimization. The proposed model equation

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