Climate change is a global phenomenon and has major impacts on ecotoxicology. A variety of environmental variables affected by climate change can alter the fate of chemical and responses of organism. Especially, soil temperature is an important factor in ecotoxicology. Increasing temperature results in an increase in the rate of uptake and degradation of toxic compound. Therefore, the research of temperature effect on toxicity is needed to understand the change of toxic effect under climate change. In this regards, the response of Paronychiurus kimi (Collembola) to Geunsami™ (glyphosate-based herbicide) were evaluated at different temperatures (20℃, 25℃) and soil aging time (7, 15 days). Survived adults and hatched juveniles were counted after 28-day exposures in artificial soil spiked with 1, 5, 50, 100, 500 mg/kg of glyphosate in different temperature and soil aging time conditions. In addition, we investigated the fatty acid composition of Paronychiurus kimi. Increasing soil aging time and temperature, EC20 value of P. kimi was increased. Fatty acid composition of P. kimi was similar with that of Folsomia candida mainly composed of 18:1 w9c, 16:0 and 18:0 fatty acids. UI (Unsaturation Index) and the ratio C16/18 of fatty acid composition decreased with increasing temperature. The 18:0 (Stearic acid) fatty acid increased with increasing concentration of glyphosate.

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.