Daphnia Dose/Response Bioassay

Data Form


Name __________________________

Date __________________________

Chemical tested ___________________________

100% concentration _____________________ mg/L

Length of experiment _____________________ days

Constants (such as temperature and light) ______________________________________


Table 4a. Daphnia Bioassay Results







# Dead after

1 hour


# Dead after

24 hours

# Dead after

48 hours


# Dead

after 48 hours






















































































Make a bar graph showing the average # dead Daphnia after 48 hours:


Some questions to consider: (Please answer using full sentences.)



1. Did at least 80% of the Daphnia in the control beakers survive? If not, what would you recommend doing differently next time to try to get a better survival rate?








2. Did the rate of Daphnia survival respond in a predictable way to concentration? Describe any trends you observed.








3. Do any of your data not fit the trends you observed? If so, can you think of any reasons why these data might lie outside the range you would expect?








4. What LC50 would you estimate for your experiment with Daphnia? LC50 = ___

(If it is impossible to estimate the LC50 from your data, please explain why.)








5. What can you conclude about the toxicity of the substance you tested? Is this what you expected? Was your hypothesis supported by the data?








6. Think about whether any of the Daphnia might have died for reasons other than poisoning by the chemical you tested. What other factors do you think might possibly have killed some of them?









7. If other students carried out a dose/response experiment using the same chemical, did their data follow the same trends as yours?








8. Based on this experiment, would you say Daphnia would provide a useful bioassay organism for water samples from the environment? Why or why not?









9. If you were going to repeat this experiment, what would you do differently? How might you improve the experimental design to reduce the variability of your data or lead to more reliable results?








NSTA. Cornell Scientific Inquiry Series. For use with Assessing Toxic Risk, Protocol 4.