Combining bioaccumulation and coping mechanism to enhance long-term site-specific risk assessment for zinc susceptibility of bivalves |
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Authors: | Chen Bo-Ching Chen Wei-Yu Ju Yun-Ru Tsai Jeng-Wei Jou Li-John Singh Sher Liao Chung-Min |
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Institution: | a Department of Post-Modern Agriculture, MingDao University, Changhua 52345, Taiwan, ROC b Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei 10617, Taiwan, ROC c Graduate Institute of Ecology and Evolutionary Biology, China Medical University, Taichung 40402, Taiwan, ROC d Department of Biomechatronic Engineering, National Ilan University, Ilan 26047, Taiwan, ROC e Department of Life Science, National Taiwan Normal University, Taipei 11677, Taiwan, ROC |
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Abstract: | The purpose of this study is to conduct a long-term site-specific risk assessment for zinc (Zn) susceptibility of bivalves, green mussel Perna viridis and hard clam Ruditapes philippinarum, based on published experimental data by linking the biologically-based damage assessment model with the subcellular partitioning concept. A comprehensive risk modeling framework was developed to predict susceptibility probability of two bivalve species exposed to waterborne Zn. The results indicated that P. viridis accumulates more Zn toxicity, whereas both toxic potency and the recovery rate of Zn are higher for R. philippinarum. We found that negative linear correlations exist in elimination-recovery and elimination-detoxification relationships, whereas a positive linear correlation was observed in recovery-detoxification relationships for bivalves exposed to waterborne Zn. Simulation results showed that the spatial differences of susceptibility primarily resulted from the variation of waterborne Zn concentration under field conditions. We found that R. philippinarum is more susceptible of Zn than P. viridis under the same exposure condition. Results also suggested that Zn posed no significant susceptibility risk to two bivalve species in Taiwan. We suggested that these two species can be used to biomonitor the water quality on Taiwan coastal areas. |
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Keywords: | Bivalves Zinc Bioaccumulation Detoxification Subcellular partitioning Risk assessment |
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