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The Use of the Dynamic Model to Improve Mechanistic Understanding of Organism Response to Stress: A Case Study on Daphnia magna

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  • URLhttps://db.koreascholar.com/Article/Detail/288278
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한국응용곤충학회 (Korean Society Of Applied Entomology)
초록

Environmental risk assessment aims to estimate the impacts of various stressors on populations and communities in the environment. However, most of the exposure tests conducted under the laboratory level. This gap between the controlled condition of the experiments and the complexity of the field situation can lead to irrelevant estimation of stress effects. For this reason, dynamic model approach in ecology that including integrated mechanistic understanding has become important. The dynamic models at the individual level can be used to interpret the individual’s response to stress, extrapolate which response to untested conditions, and predict the impacts on the higher ecological level.
The overall objective of this case study was to simulate the chronic toxicity of copper on Daphnia magna using dynamic energy budget theory with the improved toxicity module component. The model system was constructed and evaluated, using the PowersimⓇ software. The toxicity model system was integrated with toxic effects on allocation of reserve, structure, and maturity energy of D. magna into improved toxicity module. The model was calibrated and verified by actual data sets where obtained from a laboratory experiment including growth, maturity and survival measurement of D. magna during copper exposure. The simulation results showed that the response of D. magna under copper exposure was well estimated by model system.

저자
  • Yongeun Kim(Division of Environmental Science and Ecological Engineering, Korea University)
  • Hyoung-ho Mo(Division of Environmental Science and Ecological Engineering, Korea University)
  • Yun-sik Lee(Division of Environmental Science and Ecological Engineering, Korea University)
  • June Wee(Division of Environmental Science and Ecological Engineering, Korea University)
  • Kijong Cho(Division of Environmental Science and Ecological Engineering, Korea University) Corresponding author