Salamander Spots: Patterned or Not?
Instructional Level: High School
Driving Question(s):
How is a changing climate related to fragile ecosystems like vernal pools and how does that relationship impact biodiversity and, in particular, the spotted salamander?
Climate changes affect both the vernal pool and the spotted salamander in different ways. A warming climate may mean less winter precipitation which leads to smaller vernal pools. A warmer climate will stimulate earlier migration dates for the salamander with smaller available habitat for reproduction.
Exploration
Students will observe images of spot patterns present on images of spotted salamanders. Students will classify these patterns as alternate, opposite, or random. Note: After examining the actual images of salamanders, students may develop additional spot pattern classifications.
Students will state a hypothesis for the spot pattern observed in terms of a null and alternate hypothesis. Students will test data using Hardy-Weinberg and/or Chi Square.
Objectives
Students will:
- Observe images of spot patterns present on spotted salamanders.
- Classify these patterns as alternate, opposite, or random.
- State a hypothesis for the spot pattern observed in terms of a null and alternate hypothesis.
Lesson Materials
- Internet connection and laptop or personal device
- Images and video of spotted salamander masses from migration events
- Spotted or Not (Interactive Lesson)
- Data Table of spot patterns created by students or teacher
Procedures
Preparation
|
Part I – Observation and Hypothesis
|
Part II – Data Collection
|
Part III – Evaluation
Note: Conclusion should discuss whether the number of individuals viewed can be considered indicative of the entire spotted salamander population or just for the population that utilizes this particular vernal pool. |
Standards
HS-LS3-3 Analyzing and Interpreting Data
Analyzing data in 9-12 builds on K-8 experiences and progresses to introducing more detailed statistical analysis, the comparison of data sets for consistency, and the use of models to generate and analyze data.
- Apply concepts of statistics and probability (including determining function fits to data, slope, intercept, and correlation coefficient for linear fits) to scientific and engineering questions and problems, using digital tools when feasible.
HS-LS4-3 Analyzing and Interpreting Data
Analyzing data in 9–12 builds on K–8 experiences and progresses to introducing more detailed statistical analysis, the comparison of data sets for consistency, and the use of models to generate and analyze data.
- Apply concepts of statistics and probability (including determining function fits to data, slope, intercept, and correlation coefficient for linear fits) to scientific and engineering questions and problems, using digital tools when feasible.
HS-LS4-4 Constructing Explanations and Designing Solutions
Constructing explanations and designing solutions in 9–12 builds on K–8 experiences and progresses to explanations and designs that are supported by multiple and independent student-generated sources of evidence consistent with scientific ideas, principles, and theories.
- Construct an explanation based on valid and reliable evidence obtained from a variety of sources (including students’ own investigations, models, theories, simulations, peer review) and the assumption that theories and laws that describe the natural world operate today as they did in the past and will continue to do so in the future.
References
- Pattern of Genetic Inheritance: This link was authored by in the Biological Sciences Department at Georgia Institute of Technology. This link details the different patterns of inheritance with explanations of each.
bioprinciples.biosci.gatech.edu/module-4-genes-and-genomes/4-3-patterns-of-inheritance - Review of Chi-Square: This Wikipedia entry offers both a basic and comprehensive explanation of the math concepts behind this standard statistical hypothesis test.
en.wikipedia.org/wiki/Chi-squared_test - Review of Hardy-Weinberg Equilibrium: This website—created and is maintained by Dr. Dennis O’Neil of the Behavioral Sciences Department, Palomar College in San Marcos, California—explains how a change in frequencies of alleles in a gene pool of a population is evolution.
www2.palomar.edu/anthro/synthetic/synth_2.htm