Pattern Recognition (WS11)

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School

University of South Carolina *

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Course

B301L

Subject

Biology

Date

Dec 6, 2023

Type

docx

Pages

3

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PATTERNS: DETECTION AND QUANTIFICATION One of the characteristics of a good biologist is the ability to differentiate between patterns resulting from some cause-and-effect relationship, and apparent patterns that either are not real or are true of only one location. If an apparent pattern is real and generalizable, it can be quantified in more than one locale. For example, if seed predators, such as chipmunks, prefer white oak ( Quercus alba ) acorns to those of several other species, one should be able to quantify that preference at several geographic locales as long as the same suite of acorn producing tree species are being compared. If the morphology of a plant species (number of leaves which overlap vertically, branching pattern, position of the leaves on the limbs) changes with exposure to sunlight (shade or understory versus unshaded locale), then one should be able to detect this difference in growth morphology on different individuals. Similarly, if incidence of herbivory on leaves differs as a function of sun exposure, position on the plant, distance from the ground, etc., one should be able to detect this difference among leaves on a given plant as well as on leaves on different plants. Another possible pattern is in seed set. Seed set can be used as a measure of reproductive success, and one might be able to detect differences among individual plants of one species in seed set as a function of physical locale and biotic factors. Alternatively, one might see apparent patterns in insect attacks on seeds as a function of distance from source trees. All of the above cases are examples of patterns where one might expect to see differences due to locale. Obviously, not all will be true. For the purposes of this laboratory exercise, each group's task is to identify an apparent pattern, design a quantification scheme, propose an ecological mechanism for maintenance of the pattern, and design an experiment to test the reality of the mechanism proposed. Each group will have 30 minutes to identify and record more than 5 potential patterns, choose a particular pattern of interest to your group, and design a quantification scheme. Discuss with your TA: potential patterns, proposed quantification scheme, which supplies would be necessary to quantify the pattern, and how to then go quantify the pattern. Return to your TA one more time to discuss potential mechanisms driving the pattern and how to design a manipulative test of the mechanism. By the beginning of the next lab, your group will have completed the table on the following page, designed an experiment to test your hypotheses regarding the mechanism responsible for the pattern, and created a group presentation for use in the next lab period.
Part A: Observation and Hypothesis Generation [6] 1. List at least five potential patterns you observed (then discuss with your TA). [1] 1. The south side has more orange leaves. 2. Benches found under trees rust. 3. The east side has more squirrels. 4. The grass on the west side is greener. 5. The north side has more cracked bricks. 2. For your selected pattern, describe (with possibly a table or graph) your quantification of that pattern.[3] East side: 3 squirrels West side: 0 squirrels 3. What mechanism do you think drives your selected pattern? [1] Noise and polluted area that is by the roads. 4. Given if that mechanism were true, what is a testable prediction derived from that hypothesis? [1] Search around two different areas, one side being trees and the other side being where a polluted road is. Count to see how many squirrels you find on each side.
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