• LP 2.1: How to analyze patterns in data at various scales to make a claim about how genetic variation affects the survival rate of a plant population.
• LP 2.2: How to analyze patterns in data from charts and graphs to construct a claim about the cause-and-effect relationship between resource competition and inherited traits.
• LP 2.3: How to collect and synthesize evidence to support a claim that environmental changes (cause) lead to the adaptation of a population (effect).
• LP 2.4: How to predict and explain using scientific theories how natural selection (cause) acts as the mechanism that leads to the evolution of populations (effect).

• DCI: LS4.B Natural Selection; LS4.C Adaptation: Genetic variations provide specific advantages that allow certain individuals to survive environmental changes and pass their traits to offspring.
• SEP: Analyzing and Interpreting Data; Engaging in Argument from Evidence; Constructing Explanations: Core scientific actions used to decipher population patterns, evaluate environmental data, and construct biological arguments.
• CCC: Patterns; Cause and Effect; Stability and Change: Exploring how selective pressures alter a population's genetic stability and drive structural adaptation over generational time.

 

4.a. Demonstrate Patterns - Graphical: Generating bar graphs to calculate and track shifting allele frequencies across multiple generations.

4.b. Compare Data - Consistency: Evaluating data consistency across micro-climate tables and resource matrices to establish competitive advantages.

5.c. Use Evidence/Theory - Reasoning: Synthesizing experimental evidence and evolutionary theories to write comprehensive, data-driven explanations.

5.d. Present Arguments - Defend/Refute: Constructing a structured concept map to defend or refute claims regarding selection mechanisms and evolutionary drivers.