Problem 11
Question
\begin{equation} \begin{array}{l}{\text { SCleNTIFIC INQUIRY Jens Clausen and colleagues, at the }} \\ {\text { Carnegie Institution of Washington, studied how the size of }} \\ {\text { yarrow plants (Achillea lanulosa) growing on the slopes of the }} \\ {\text { Sierra Nevada varied with elevation. They found that plants }} \\ {\text { from low elevations were generally taller than plants from high }} \\ {\text { elevations, as shown in the diagram. }}\end{array} \end{equation}\begin{equation} \begin{array}{l}{\text { Clausen and colleagues proposed two hypotheses to explain }} \\ {\text { this variation within a species: (1) There are genetic differences }} \\ {\text { between populations of plants found at different elevations. }}\end{array} \end{equation}\begin{equation} \begin{array}{l}{\text { (2) The species has developmental flexibility and can assume }} \\ {\text { tall or short growth forms, depending on local abiotic factors. }} \\ {\text { If you had seeds from yarrow plants found at low and high }} \\ {\text { elevations, how would you test these hypotheses? }}\end{array} \end{equation}
Step-by-Step Solution
VerifiedKey Concepts
Plant Genetics
To test this hypothesis, researchers would look for consistent traits across generations, regardless of environmental conditions. If the yarrow plants from low elevations consistently grow taller in any setting, it suggests these traits are genetically determined.
To enrich understanding of plant genetics, students might consider:
- Mendelian inheritance: Basics of dominant and recessive genes.
- Genotype vs. phenotype: The genetic code (genotype) vs. physical appearance (phenotype).
- Genetic diversity: Importance of different gene variants within a species.
Developmental Flexibility
If yarrow plants exhibit developmental flexibility, they would adjust their height according to the conditions they experience rather than genetic coding alone. For instance, low-elevation plants might grow shorter if planted in high-elevation-like conditions.
Key factors influencing developmental flexibility include:
- Light exposure: Amount and quality of light can affect plant height and leaf size.
- Temperature: Different temperatures can influence growth rates and plant structure.
- Water availability: Access to water often dictates plant size and health.
Abiotic Factors
Some common abiotic factors include:
- Temperature: Fluctuations in temperature can affect metabolic processes in plants.
- Sunlight: Varying amounts and angles of sunlight influence photosynthesis and growth.
- Soil Composition: Nutrient availability and soil pH play vital roles in plant health.
- Water: Amount and consistency of water supply directly impact plant survival and growth.
When examining plants, recognizing how abiotic stresses like drought or extreme temperatures impact them can elucidate why certain species thrive in specific environments.
Experimental Design
The key steps in establishing an experimental design include:
- Defining the Hypothesis: Form clear, testable statements as done with genetic differences and developmental flexibility.
- Collecting Samples: Gather seeds from low and high elevations, ensuring proper labeling and sample size.
- Creating Controlled Environments: Simulate varying conditions, such as temperatures and soil types, that represent high and low elevations.
- Randomization: Ensure random assignment of seeds to different experimental conditions to avoid bias.
- Observation and Measurement: Regular monitoring and recording of plant growth to gather sufficient data for analysis.
Hypothesis Testing
The steps include:
- Formulating Hypotheses: As seen with genetic differences vs. developmental flexibility hypotheses.
- Conducting Experiments: Growing plants under controlled conditions and systematically observing outcomes.
- Analyzing Data: Comparing results, such as plant heights under different conditions, to identify patterns.
- Interpretation: Evaluating whether the data supports one hypothesis or the other.
- Drawing Conclusions: Concluding which hypothesis is more plausible, considering potential errors or alternative explanations.