Is it better to be bigger?
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How does the size of a Baby lizard affect its chances of survival?
Featured scientists: Aaron Reedy and Robert Cox from the University of Virginia
When Charles Darwin talked about the “struggle for existence” he was making the observation that many individuals in the wild don’t survive long enough to reach adulthood. Many die before they have the chance to reproduce and pass on their genes to the next generation. Darwin also noted that in every species there is variation in physical traits such as size, color, and shape. Is it simply that those who survive to reproduce are lucky, or do these traits affect which individuals have a greater or lesser chance of surviving? Evolutionary biologists often work to see how differences in traits, such as body size, relate to differences in survival among individuals. When differences in traits are related to chances of survival, they are said to be under natural selection.
Brown anole lizards are useful for studies of natural selection because they are abundant in Florida and the Caribbean, easy to catch, and have a short life span. Brown anoles are very small when they hatch out of the egg. Because of their small size, these anole hatchlings are eaten by many different animals, including birds, crabs, other species of anole lizards, and even adult brown anoles! Predators could be a significant force of natural selection on brown anole hatchlings. Juvenile anoles that get eaten by predators will not survive to reproduce. Traits that help young brown anoles avoid predation and reproduce will get passed on to future generations.
Aaron and Robert are scientists who study brown anoles on islands in Northeastern Florida. Along with their colleagues, they visit these islands every 6 to 10 weeks during the summer to survey the populations and measure natural selection in action. Aaron and Robert selected a small island that had a large brown anole population because they were able to find and measure all of the individuals on the island. Aaron observed that in the late summer there were thousands of hatchling lizards on the island, but by the middle of the summer the following year, only a few hundred of those lizards remained alive. He also observed that hatchlings varied greatly in body size and wondered if those differences in hatchling size affect the chances that an individual survives to adulthood. He reasoned that smaller hatchlings are more likely to die than larger ones because they are not as fast, and therefore not as likely to escape from predators and face a higher risk of being eaten.
To test this, Aaron and Robert captured hatchlings in July, assigned a unique identification number to each anole, measured their body length, and then released them back onto the island. In October of the same year, they returned to the island to capture and measure all surviving lizards. They calculated the average percent survival for each size category. Aaron predicted longer individuals would have higher survival. This would indicate that there was natural selection for larger body size in hatchlings.
Variables
Body Length in July (mm) - this numerical variable describes the length of lizards in the month of July.
Number captured in July - this numerical variable describes the number of lizards with that body length captured in July.
Number Recaptured in October - this numerical variable describes how many lizards with that body length were documented 3 months later.
Survival Rate (July to Oct) - this numeric variable describes the average percent survival based on numbers in July vs. October.Activity
Scientific Question: How does size of a baby lizard predict it’s chance for survival?
Aaron’s Hypothesis: smaller hatchlings are more likely to die than larger ones because they are not as fast, and therefore not as likely to escape from predators and face a higher risk of being eaten
Scientific Data:
What data will you graph to answer the question?
Independent variable: ______________________. Dependent variable: _________________________
2. Create your graph and paste it below:
3. Add a line of best fit with the Regression line check box. Refer to your graph as evidence in your answer. Paste your graph which includes your regression line, below:
4. Identify any changes, trends, or differences you see in your graph. Include your graph and specifically refer to it when describing those changes, trends, or differences.
Interpret the Data
5. Make a claim that answers the scientific question.
6. What evidence was used to write your claim? Reference specific parts of the table or graph.
7. Explain your reasoning and why the evidence supports your claim. Connect the data back to what you learned about the role predation plays for young anole lizards.
8. Did the data support Aaron’s hypothesis? Use evidence to explain why or why not. If you feel the data were inconclusive, explain why.
Your next steps as a scientist:
9. Science is an ongoing process. What new question(s) should be investigated to build on Robert and Aaron’s research? What future data should be collected to answer your question(s)?
More materials for this dataset including videos, photos, student guide, teacher guide, and grading rubric are available on the Data Nuggets website.
