Bug Hunt
Before you begin this project, create a folder inside your directory and name it Bug Hunt. All your documents will be saved in this folder.
Part 1
Purpose: How does the different color attributes affect the ability of an organism to use camouflage?
PreLab
Color has many attributes in the following lab we will explore how these attributes affect the ability for an organism to use camouflage. The following attributes are hue, brightness, and saturation. Hue is the actual color. Brightness deal with how much white a color has or how light it is. Saturation is the intensity of the color or how much gray is mixed into the color.
Copy these questions to your word document and fill in the information.
- What does ROY G BIV stand for?
- What does brightness mean?
- What does saturation mean?
- What does hue mean?
- Which of the 3 attributes (hue, brightness, and saturation) do you think will make the bugs easier to see and eat?
- Which of the 3 attributes (hue, brightness, and saturation) do you think will make the bugs harder to see and eat?
- Which of the 3 environments below (seashore, glacier, or poppy field) do you think that you will be able to eat the most bugs?
Use the 3 scales below to make predictions about the color attributes of the bug that will be most or least eaten on the seashore environment in the picture below. Record you data in the table below.
Hue
0 - 360
Brightness
Saturation
At the Shore
Our first exercise will be exploring the seashore environment.
Prelab
Copy this table and the following question to a word document and before you touch the model itself, fill in your predictions.
Color Attributes |
Prediction of Range of bugs MOST eaten |
Why did you pick this range? |
Prediction of Range of bugs LEAST eaten |
Why did you pick this range? |
Hue |
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Brightness |
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Saturation |
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Predict how many bugs you think that you will be able to eat with in a 240 second time period?
Turn this in to your teacher and have it initialed before continuing.
Postlab
Run Bug Hunt Camouflage with the seashore back ground for 240 seconds. DO NOT CHANGE ANY OF THE SETTINGS. Now copy the table below in a word document and fill in the data table and questions using information on the Average HSB values line graph.
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Most Eaten |
Least Eaten |
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Color Attributes |
Predicted Range |
Actual Range |
Difference between the Actual & predicted |
Predicted Range |
Actual Range |
Difference between the Actual & predicted |
Hue |
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Brightness |
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Saturation |
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- Compare your predicted range to your actual range. How close was you prediction to your actual for the 3 following color attributes?(give numeric values)
- Hue
- Brightness
- Saturation
- Find the “Bugs Caught vs. Time” graph and use it to answer questions 2-6.
- Do you have a plateau (flat region) in your graph?
- What do you think could have caused a flat region?
- Is the slope on your graph the same for the whole 240 seconds?
- Which time range is the slope the greatest? What do you think caused this?
- Which time range is the slope the least? What do you think caused this?
- Did the bugs get easier to harder to eat? Why?
- Did you have the same hues, brightness, and saturation the whole 240 seconds?
- Describe how the hues, brightness, and saturation changed during the 240 seconds.
- Hue
- Brightness
- Saturation
Using the Average HSB Value line graph answer the following questions 10-11.
- Which of the 3 attributes (hue, brightness and saturation) made it easier to see and eat the bugs?
- Which of the 3 attributes (hue, brightness and saturation) made it harder to see and eat the bugs?
Run the simulation 3 more times for 240 seconds and record the data in the following table. Use your pervious run as trial 1. Record the total number of bugs eaten for each trial in the table.
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Most Eaten |
Least Eaten |
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Color Attributes |
Trial 1 |
Trial 2 |
Trial 3 |
Trail 4 |
Trail 1 |
Trail 2 |
Trail 3 |
Trail 4 |
Hue |
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Brightness |
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Saturation |
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After comparing the data from all 4 trials is there a difference between the most eaten? Least eaten?
Trial |
Total number of Bugs eaten |
Average |
1 |
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2 |
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3 |
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4 |
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On the Glacier
Prelab
Use the 3 scales above of hue, brightness and saturation to make predictions about the color attributes of the bug that will be most or least eaten on the glacier environment in this photograph. Record you data in the table below.
Copy this table and the following question to a word document and before you touch the model itself, fill in your predictions.
Color Attributes |
Prediction of Range of bugs MOST eaten |
Why did you pick this range? |
Prediction of Range of bugs LEAST eaten |
Why did you pick this range? |
Hue |
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Brightness |
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Saturation |
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Predict how many bugs you think that you will be able to eat with in a 240 second time period?
Turn this in to your teacher and have it initialed before continuing.
Postlab
Run Bug Hunt Camouflage with the glacier back ground for 240 seconds. DO NOT CHANGE ANY OF THE SETTINGS. Now copy the table below in a word document and fill in the data table and questions using information on the Average HSB values line graph.
|
Most Eaten |
Least Eaten |
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Color Attributes |
Predicted Range |
Actual Range |
Difference between the Actual & predicted |
Predicted Range |
Actual Range |
Difference between the Actual & predicted |
Hue |
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Brightness |
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Saturation |
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- Compare your predicted range to your actual range. How close was you prediction to your actual for the 3 following color attributes?(give numeric values)
- Hue
- Brightness
- Saturation
- Find the “Bugs Caught vs. Time” graph and use it to answer questions 2-6.
- Do you have a plateau (flat region) in your graph?
- What do you think could have caused a flat region?
- Is the slope on your graph the same for the whole 240 seconds?
- Which time range is the slope the greatest? What do you think caused this?
- Which time range is the slope the least? What do you think caused this?
- Did the bugs get easier to harder to eat? Why?
- Did you have the same hues, brightness, and saturation the whole 240 seconds?
- Describe how the hues, brightness, and saturation changed during the 240 seconds.
- Hue
- Brightness
- Saturation
Using the Average HSB Value line graph answer the following questions 10-11.
- Which of the 3 attributes (hue, brightness and saturation) made it easier to see and eat the bugs?
- Which of the 3 attributes (hue, brightness and saturation) made it harder to see and eat the bugs?
Run the simulation 3 more times for 240 seconds and record the data in the following table. Use your pervious run as trial 1. Record the total number of bugs eaten for each trial in the table.
|
Most Eaten |
Least Eaten |
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Color Attributes |
Trial 1 |
Trial 2 |
Trial 3 |
Trail 4 |
Trail 1 |
Trail 2 |
Trail 3 |
Trail 4 |
Hue |
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Brightness |
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Saturation |
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After comparing the data from all 4 trials is there a difference between the most eaten? Least eaten?
Trial |
Total number of Bugs eaten |
Average |
1 |
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2 |
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3 |
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4 |
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Among the Flowers
Prelab
Use the 3 scales above of hue, brightness and saturation to make predictions about the color attributes of the bug that will be most or least eaten in the meadow environment in this photo. Record you data in the table below.
Copy this table and the following question to a word document and before you touch the model itself, fill in your predictions.
Color Attributes |
Prediction of Range of bugs MOST eaten |
Why did you pick this range? |
Prediction of Range of bugs LEAST eaten |
Why did you pick this range? |
Hue |
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Brightness |
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Saturation |
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Predict how many bugs you think that you will be able to eat with in a 240 second time period?
Turn this in to your teacher and have it initialed before continuing.
Postlab
Run Bug Hunt Camouflage with the glacier back ground for 240 seconds. DO NOT CHANGE ANY OF THE SETTINGS. Now copy the table below in a word document and fill in the data table and questions using information on the Average HSB values line graph.
|
Most Eaten |
Least Eaten |
||||
Color Attributes |
Predicted Range |
Actual Range |
Difference between the Actual & predicted |
Predicted Range |
Actual Range |
Difference between the Actual & predicted |
Hue |
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|
|
|
|
|
Brightness |
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|
|
|
|
|
Saturation |
|
|
|
|
|
|
- Compare your predicted range to your actual range. How close was you prediction to your actual for the 3 following color attributes?(give numeric values)
- Hue
- Brightness
- Saturation
- Find the “Bugs Caught vs. Time” graph and use it to answer questions 2-6.
- Do you have a plateau (flat region) in your graph?
- What do you think could have caused a flat region?
- Is the slope on your graph the same for the whole 240 seconds?
- Which time range is the slope the greatest? What do you think caused this?
- Which time range is the slope the least? What do you think caused this?
- Did the bugs get easier to harder to eat? Why?
- Did you have the same hues, brightness, and saturation the whole 240 seconds?
- Describe how the hues, brightness, and saturation changed during the 240 seconds.
- Hue
- Brightness
- Saturation
Using the Average HSB Value line graph answer the following questions 10-11.
- Which of the 3 attributes (hue, brightness and saturation) made it easier to see and eat the bugs?
- Which of the 3 attributes (hue, brightness and saturation) made it harder to see and eat the bugs?
Run the simulation 3 more times for 240 seconds and record the data in the following table. Use your pervious run as trial 1. Record the total number of bugs eaten for each trial in the table.
|
Most Eaten |
Least Eaten |
||||||
Color Attributes |
Trial 1 |
Trial 2 |
Trial 3 |
Trail 4 |
Trail 1 |
Trail 2 |
Trail 3 |
Trail 4 |
Hue |
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Brightness |
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Saturation |
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After comparing the data from all 4 trials is there a difference between the most eaten? Least eaten?
Trial |
Total number of Bugs eaten |
Average |
1 |
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2 |
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3 |
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4 |
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Conclusion
Use your data from all 3 environments to fill in the tables below.
Copy these tables and the following questions to a word document and fill in the information.
Environment |
Average number of bugs eaten |
Predicted number of bugs eaten |
Difference between your predicted and actual number of bugs eaten |
Seashore |
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Glacier |
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Poppy field |
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- Does the environment effect they type of bugs you can eat? Why or why not?
- Did the environment effect the number of bug you can eat? Why or why not?
- Did the difference between your predicted numbers of bugs eaten increase of decrease? Why?
Difference between the Predicted and Actual Ranges for the different color attributes compared to the different environment. |
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Most Eaten |
Least Eaten |
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Environment |
Hue |
Brightness |
Saturation |
Hue |
Brightness |
Saturation |
Seashore |
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Glacier |
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Poppy field |
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Create 2 bar graphs in Excel.
Make one bar graph of the difference of the most eaten in all 3 environments and another graph of the difference of the least eaten in all 3 environments.
Copy these questions to your word document and fill in the information.
Using the bar graphs you created to answer the following questions.
- Did the difference between your predicted/actual range of most eaten bugs increase or decrease as you repeated this experiment in the different environments for each of the following color attributes?
- Did the difference between your predicted/actual range of least eaten bugs increase or decrease as you repeated this experiment in the different environments for each of the following color attributes?
- Is there one color attribute for all 3 environments that causes the bugs to eaten the most?
- Is there one color attribute for all 3 environments that cause the bus to be eaten the least?
- What biological reason could have caused the color attributed to changes over the 240second period?
- Based on your experimental data how long would you have to run the simulation before 90% of the variation of the color attributes would disappear?
